diff --git a/README.md b/README.md
index 5c762c38d..07d0f3461 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,10 @@ This repository contains an unofficial API for Y Combinator companies fetched
 from the Y Combinator website's Algolia search index. It only includes
 **publicly launched companies** with pages on the Y Combinator website. It does
 not scrape the Y Combinator website, instead it uses the Algolia search index to
-fetch the companies in a GitHub Actions workflow that runs every day.
+fetch the companies in a GitHub Actions workflow that runs every day. When
+company records change, the workflow also publishes a daily change summary in
+JSON and Markdown at `changes/latest.json` and `changes/latest.md`, so you can
+review what YC changed without digging through the full repository diff.
 
 <!--start generated readme-->
 
@@ -12,8 +15,8 @@ fetch the companies in a GitHub Actions workflow that runs every day.
 
 API endpoint: https://yc-oss.github.io/api/meta.json
 
-- Last updated: June 30, 2026 at 2:31 AM
-- Companies: 5994
+- Last updated: June 30, 2026 at 8:35 AM
+- Companies: 5996
 - Batches: 50
 - Industries: 59
 - Tags: 332
@@ -34,6 +37,13 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Companies with public application videos | https://yc-oss.github.io/api/companies/app-video-public.json        |
 | Companies with public demo day videos    | https://yc-oss.github.io/api/companies/demo-day-video-public.json   |
 
+### 🔄 Company changes
+
+| Change log                        | API endpoint                                     |
+| --------------------------------- | ------------------------------------------------ |
+| Latest company changes (JSON)     | https://yc-oss.github.io/api/changes/latest.json |
+| Latest company changes (Markdown) | https://yc-oss.github.io/api/changes/latest.md   |
+
 ### 🎓 Batches
 
 <details>
@@ -79,7 +89,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Fall 2025   | 149   | https://yc-oss.github.io/api/batches/fall-2025.json   |
 | Winter 2023 | 274   | https://yc-oss.github.io/api/batches/winter-2023.json |
 | Summer 2023 | 219   | https://yc-oss.github.io/api/batches/summer-2023.json |
-| Summer 2026 | 49    | https://yc-oss.github.io/api/batches/summer-2026.json |
+| Summer 2026 | 51    | https://yc-oss.github.io/api/batches/summer-2026.json |
 | Winter 2026 | 198   | https://yc-oss.github.io/api/batches/winter-2026.json |
 | Winter 2024 | 249   | https://yc-oss.github.io/api/batches/winter-2024.json |
 | Winter 2025 | 167   | https://yc-oss.github.io/api/batches/winter-2025.json |
@@ -107,7 +117,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Asset Management                | 54    | https://yc-oss.github.io/api/industries/asset-management.json               |
 | Automotive                      | 21    | https://yc-oss.github.io/api/industries/automotive.json                     |
 | Aviation and Space              | 60    | https://yc-oss.github.io/api/industries/aviation-and-space.json             |
-| B2B                             | 3064  | https://yc-oss.github.io/api/industries/b2b.json                            |
+| B2B                             | 3067  | https://yc-oss.github.io/api/industries/b2b.json                            |
 | Banking and Exchange            | 70    | https://yc-oss.github.io/api/industries/banking-and-exchange.json           |
 | Climate                         | 52    | https://yc-oss.github.io/api/industries/climate.json                        |
 | Construction                    | 49    | https://yc-oss.github.io/api/industries/construction.json                   |
@@ -121,9 +131,9 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Diagnostics                     | 57    | https://yc-oss.github.io/api/industries/diagnostics.json                    |
 | Drones                          | 23    | https://yc-oss.github.io/api/industries/drones.json                         |
 | Drug Discovery and Delivery     | 57    | https://yc-oss.github.io/api/industries/drug-discovery-and-delivery.json    |
-| Education                       | 126   | https://yc-oss.github.io/api/industries/education.json                      |
+| Education                       | 125   | https://yc-oss.github.io/api/industries/education.json                      |
 | Energy                          | 48    | https://yc-oss.github.io/api/industries/energy.json                         |
-| Engineering, Product and Design | 606   | https://yc-oss.github.io/api/industries/engineering-product-and-design.json |
+| Engineering, Product and Design | 607   | https://yc-oss.github.io/api/industries/engineering-product-and-design.json |
 | Finance and Accounting          | 134   | https://yc-oss.github.io/api/industries/finance-and-accounting.json         |
 | Fintech                         | 638   | https://yc-oss.github.io/api/industries/fintech.json                        |
 | Food and Beverage               | 93    | https://yc-oss.github.io/api/industries/food-and-beverage.json              |
@@ -137,7 +147,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Human Resources                 | 82    | https://yc-oss.github.io/api/industries/human-resources.json                |
 | Industrial Bio                  | 33    | https://yc-oss.github.io/api/industries/industrial-bio.json                 |
 | Industrials                     | 397   | https://yc-oss.github.io/api/industries/industrials.json                    |
-| Infrastructure                  | 305   | https://yc-oss.github.io/api/industries/infrastructure.json                 |
+| Infrastructure                  | 306   | https://yc-oss.github.io/api/industries/infrastructure.json                 |
 | Insurance                       | 59    | https://yc-oss.github.io/api/industries/insurance.json                      |
 | Job and Career Services         | 19    | https://yc-oss.github.io/api/industries/job-and-career-services.json        |
 | Legal                           | 58    | https://yc-oss.github.io/api/industries/legal.json                          |
@@ -147,7 +157,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Office Management               | 24    | https://yc-oss.github.io/api/industries/office-management.json              |
 | Operations                      | 145   | https://yc-oss.github.io/api/industries/operations.json                     |
 | Payments                        | 126   | https://yc-oss.github.io/api/industries/payments.json                       |
-| Productivity                    | 227   | https://yc-oss.github.io/api/industries/productivity.json                   |
+| Productivity                    | 228   | https://yc-oss.github.io/api/industries/productivity.json                   |
 | Real Estate and Construction    | 159   | https://yc-oss.github.io/api/industries/real-estate-and-construction.json   |
 | Recruiting and Talent           | 76    | https://yc-oss.github.io/api/industries/recruiting-and-talent.json          |
 | Retail                          | 130   | https://yc-oss.github.io/api/industries/retail.json                         |
@@ -176,9 +186,9 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Advertising                                            | 46    | https://yc-oss.github.io/api/tags/advertising.json                                           |
 | Aerospace                                              | 38    | https://yc-oss.github.io/api/tags/aerospace.json                                             |
 | Agriculture                                            | 33    | https://yc-oss.github.io/api/tags/agriculture.json                                           |
-| AI                                                     | 810   | https://yc-oss.github.io/api/tags/ai.json                                                    |
+| AI                                                     | 808   | https://yc-oss.github.io/api/tags/ai.json                                                    |
 | AI Assistant                                           | 155   | https://yc-oss.github.io/api/tags/ai-assistant.json                                          |
-| AI-Enhanced Learning                                   | 45    | https://yc-oss.github.io/api/tags/ai-enhanced-learning.json                                  |
+| AI-Enhanced Learning                                   | 46    | https://yc-oss.github.io/api/tags/ai-enhanced-learning.json                                  |
 | AI-powered Drug Discovery                              | 35    | https://yc-oss.github.io/api/tags/ai-powered-drug-discovery.json                             |
 | AIOps                                                  | 55    | https://yc-oss.github.io/api/tags/aiops.json                                                 |
 | Air Taxis                                              | 5     | https://yc-oss.github.io/api/tags/air-taxis.json                                             |
@@ -194,7 +204,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | AR                                                     | 6     | https://yc-oss.github.io/api/tags/ar.json                                                    |
 | Architecture                                           | 4     | https://yc-oss.github.io/api/tags/architecture.json                                          |
 | Art Trading Platforms                                  | 1     | https://yc-oss.github.io/api/tags/art-trading-platforms.json                                 |
-| Artificial Intelligence                                | 886   | https://yc-oss.github.io/api/tags/artificial-intelligence.json                               |
+| Artificial Intelligence                                | 888   | https://yc-oss.github.io/api/tags/artificial-intelligence.json                               |
 | Assistive Tech                                         | 6     | https://yc-oss.github.io/api/tags/assistive-tech.json                                        |
 | Augmented Reality                                      | 23    | https://yc-oss.github.io/api/tags/augmented-reality.json                                     |
 | Auto Commerce                                          | 5     | https://yc-oss.github.io/api/tags/auto-commerce.json                                         |
@@ -202,7 +212,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Automotive                                             | 23    | https://yc-oss.github.io/api/tags/automotive.json                                            |
 | Autonomous Delivery                                    | 8     | https://yc-oss.github.io/api/tags/autonomous-delivery.json                                   |
 | Autonomous Trucking                                    | 11    | https://yc-oss.github.io/api/tags/autonomous-trucking.json                                   |
-| B2B                                                    | 1071  | https://yc-oss.github.io/api/tags/b2b.json                                                   |
+| B2B                                                    | 1072  | https://yc-oss.github.io/api/tags/b2b.json                                                   |
 | Banking as a Service                                   | 27    | https://yc-oss.github.io/api/tags/banking-as-a-service.json                                  |
 | Batteryless IoT Sensors                                | 1     | https://yc-oss.github.io/api/tags/batteryless-iot-sensors.json                               |
 | Beauty                                                 | 10    | https://yc-oss.github.io/api/tags/beauty.json                                                |
@@ -272,7 +282,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Data Visualization                                     | 30    | https://yc-oss.github.io/api/tags/data-visualization.json                                    |
 | Databases                                              | 24    | https://yc-oss.github.io/api/tags/databases.json                                             |
 | Dating                                                 | 6     | https://yc-oss.github.io/api/tags/dating.json                                                |
-| Deep Learning                                          | 39    | https://yc-oss.github.io/api/tags/deep-learning.json                                         |
+| Deep Learning                                          | 40    | https://yc-oss.github.io/api/tags/deep-learning.json                                         |
 | Deepfake Detection                                     | 1     | https://yc-oss.github.io/api/tags/deepfake-detection.json                                    |
 | Defense                                                | 17    | https://yc-oss.github.io/api/tags/defense.json                                               |
 | DeFi                                                   | 12    | https://yc-oss.github.io/api/tags/defi.json                                                  |
@@ -280,7 +290,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Dental                                                 | 6     | https://yc-oss.github.io/api/tags/dental.json                                                |
 | Design                                                 | 29    | https://yc-oss.github.io/api/tags/design.json                                                |
 | Design Tools                                           | 58    | https://yc-oss.github.io/api/tags/design-tools.json                                          |
-| Developer Tools                                        | 520   | https://yc-oss.github.io/api/tags/developer-tools.json                                       |
+| Developer Tools                                        | 521   | https://yc-oss.github.io/api/tags/developer-tools.json                                       |
 | DevOps                                                 | 47    | https://yc-oss.github.io/api/tags/devops.json                                                |
 | DevSecOps                                              | 33    | https://yc-oss.github.io/api/tags/devsecops.json                                             |
 | Diagnostics                                            | 32    | https://yc-oss.github.io/api/tags/diagnostics.json                                           |
@@ -301,7 +311,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Electronics                                            | 10    | https://yc-oss.github.io/api/tags/electronics.json                                           |
 | Email                                                  | 27    | https://yc-oss.github.io/api/tags/email.json                                                 |
 | Emerging Markets                                       | 9     | https://yc-oss.github.io/api/tags/emerging-markets.json                                      |
-| Energy                                                 | 41    | https://yc-oss.github.io/api/tags/energy.json                                                |
+| Energy                                                 | 42    | https://yc-oss.github.io/api/tags/energy.json                                                |
 | Energy Storage                                         | 14    | https://yc-oss.github.io/api/tags/energy-storage.json                                        |
 | Enterprise                                             | 108   | https://yc-oss.github.io/api/tags/enterprise.json                                            |
 | Enterprise Software                                    | 114   | https://yc-oss.github.io/api/tags/enterprise-software.json                                   |
@@ -420,7 +430,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Primary Care                                           | 8     | https://yc-oss.github.io/api/tags/primary-care.json                                          |
 | Privacy                                                | 19    | https://yc-oss.github.io/api/tags/privacy.json                                               |
 | Procurement                                            | 12    | https://yc-oss.github.io/api/tags/procurement.json                                           |
-| Productivity                                           | 162   | https://yc-oss.github.io/api/tags/productivity.json                                          |
+| Productivity                                           | 163   | https://yc-oss.github.io/api/tags/productivity.json                                          |
 | Proptech                                               | 83    | https://yc-oss.github.io/api/tags/proptech.json                                              |
 | Psychedelics                                           | 1     | https://yc-oss.github.io/api/tags/psychedelics.json                                          |
 | Quantum Computing                                      | 4     | https://yc-oss.github.io/api/tags/quantum-computing.json                                     |
@@ -444,9 +454,9 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Robotic Surgery                                        | 3     | https://yc-oss.github.io/api/tags/robotic-surgery.json                                       |
 | Robotics                                               | 108   | https://yc-oss.github.io/api/tags/robotics.json                                              |
 | Rocketry                                               | 4     | https://yc-oss.github.io/api/tags/rocketry.json                                              |
-| SaaS                                                   | 1077  | https://yc-oss.github.io/api/tags/saas.json                                                  |
+| SaaS                                                   | 1078  | https://yc-oss.github.io/api/tags/saas.json                                                  |
 | Sales                                                  | 116   | https://yc-oss.github.io/api/tags/sales.json                                                 |
-| Sales Enablement                                       | 38    | https://yc-oss.github.io/api/tags/sales-enablement.json                                      |
+| Sales Enablement                                       | 39    | https://yc-oss.github.io/api/tags/sales-enablement.json                                      |
 | Satellites                                             | 20    | https://yc-oss.github.io/api/tags/satellites.json                                            |
 | Scheduling                                             | 12    | https://yc-oss.github.io/api/tags/scheduling.json                                            |
 | Search                                                 | 19    | https://yc-oss.github.io/api/tags/search.json                                                |
@@ -471,7 +481,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Speech Recognition                                     | 6     | https://yc-oss.github.io/api/tags/speech-recognition.json                                    |
 | Sports Tech                                            | 18    | https://yc-oss.github.io/api/tags/sports-tech.json                                           |
 | Stocks                                                 | 4     | https://yc-oss.github.io/api/tags/stocks.json                                                |
-| Subscriptions                                          | 38    | https://yc-oss.github.io/api/tags/subscriptions.json                                         |
+| Subscriptions                                          | 37    | https://yc-oss.github.io/api/tags/subscriptions.json                                         |
 | Supply Chain                                           | 81    | https://yc-oss.github.io/api/tags/supply-chain.json                                          |
 | Sustainability                                         | 15    | https://yc-oss.github.io/api/tags/sustainability.json                                        |
 | Sustainable Agriculture                                | 3     | https://yc-oss.github.io/api/tags/sustainable-agriculture.json                               |
@@ -493,7 +503,7 @@ API endpoint: https://yc-oss.github.io/api/meta.json
 | Trust & Safety                                         | 3     | https://yc-oss.github.io/api/tags/trust-and-safety.json                                      |
 | Unmanned Vehicle                                       | 4     | https://yc-oss.github.io/api/tags/unmanned-vehicle.json                                      |
 | Vertical Farming                                       | 2     | https://yc-oss.github.io/api/tags/vertical-farming.json                                      |
-| Video                                                  | 87    | https://yc-oss.github.io/api/tags/video.json                                                 |
+| Video                                                  | 86    | https://yc-oss.github.io/api/tags/video.json                                                 |
 | Virtual Reality                                        | 13    | https://yc-oss.github.io/api/tags/virtual-reality.json                                       |
 | VR Health                                              | 2     | https://yc-oss.github.io/api/tags/vr-health.json                                             |
 | Warehouse Management Tech                              | 13    | https://yc-oss.github.io/api/tags/warehouse-management-tech.json                             |
diff --git a/batches/summer-2023.json b/batches/summer-2023.json
index b8b24ea62..361e54dc4 100644
--- a/batches/summer-2023.json
+++ b/batches/summer-2023.json
@@ -7329,14 +7329,14 @@
     "all_locations": "Berlin, Berlin, Germany",
     "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
     "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
+    "team_size": 19,
     "industry": "B2B",
     "subindustry": "B2B -> Engineering, Product and Design",
     "launched_at": 1687103873,
     "tags": [
+      "Artificial Intelligence",
       "Developer Tools",
-      "Open Source",
-      "AI"
+      "Open Source"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -7354,7 +7354,7 @@
       "Remote",
       "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": false,
     "app_answers": null,
diff --git a/batches/summer-2023/tiptap.json b/batches/summer-2023/tiptap.json
index 527c00e04..570dbda05 100644
--- a/batches/summer-2023/tiptap.json
+++ b/batches/summer-2023/tiptap.json
@@ -8,14 +8,14 @@
   "all_locations": "Berlin, Berlin, Germany",
   "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
   "one_liner": "The open-source document editor for humans and AI agents.",
-  "team_size": 18,
+  "team_size": 19,
   "industry": "B2B",
   "subindustry": "B2B -> Engineering, Product and Design",
   "launched_at": 1687103873,
   "tags": [
+    "Artificial Intelligence",
     "Developer Tools",
-    "Open Source",
-    "AI"
+    "Open Source"
   ],
   "tags_highlighted": [],
   "top_company": false,
@@ -33,7 +33,7 @@
     "Remote",
     "Partly Remote"
   ],
-  "stage": "Growth",
+  "stage": "Early",
   "app_video_public": false,
   "demo_day_video_public": false,
   "app_answers": null,
diff --git a/batches/summer-2024.json b/batches/summer-2024.json
index 3a65413ff..7c7ea3b67 100644
--- a/batches/summer-2024.json
+++ b/batches/summer-2024.json
@@ -10483,16 +10483,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/batches/summer-2024/syntra.json b/batches/summer-2024/syntra.json
index 00ef282c5..45353dd0d 100644
--- a/batches/summer-2024/syntra.json
+++ b/batches/summer-2024/syntra.json
@@ -8,16 +8,16 @@
   "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
   "website": "https://www.syntra.com",
   "all_locations": "San Francisco, CA, USA",
-  "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+  "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
   "one_liner": "Medical chart intelligence",
   "team_size": 10,
   "industry": "Healthcare",
   "subindustry": "Healthcare -> Healthcare IT",
   "launched_at": 1723733582,
   "tags": [
+    "Artificial Intelligence",
     "Big Data",
-    "Healthcare IT",
-    "AI"
+    "Healthcare IT"
   ],
   "tags_highlighted": [],
   "top_company": false,
diff --git a/batches/summer-2025.json b/batches/summer-2025.json
index 74379a0a0..a6130a18b 100644
--- a/batches/summer-2025.json
+++ b/batches/summer-2025.json
@@ -1206,16 +1206,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/batches/summer-2025/liva-ai.json b/batches/summer-2025/liva-ai.json
index 6dbbab7cb..fe14debc0 100644
--- a/batches/summer-2025/liva-ai.json
+++ b/batches/summer-2025/liva-ai.json
@@ -11,16 +11,16 @@
   "all_locations": "San Francisco, CA, USA",
   "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
   "one_liner": "Audio & Video Data",
-  "team_size": 2,
+  "team_size": 4,
   "industry": "B2B",
   "subindustry": "B2B",
   "launched_at": 1753401226,
   "tags": [
-    "Artificial Intelligence",
     "Marketplace",
     "B2B",
     "Data Labeling",
-    "Big Data"
+    "Big Data",
+    "AI"
   ],
   "tags_highlighted": [],
   "top_company": false,
diff --git a/batches/summer-2026.json b/batches/summer-2026.json
index 586033eff..d88bc767c 100644
--- a/batches/summer-2026.json
+++ b/batches/summer-2026.json
@@ -680,6 +680,47 @@
     "url": "https://www.ycombinator.com/companies/rex-inc",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/rex-inc.json"
   },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+  },
   {
     "id": 32187,
     "name": "Insurf",
@@ -1136,7 +1177,7 @@
     "name": "Cerenovus",
     "slug": "cerenovus",
     "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png",
     "website": "https://www.cerenovus.ai/",
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
@@ -1146,7 +1187,7 @@
     "subindustry": "B2B",
     "launched_at": 1780900630,
     "tags": [
-      "AI"
+      "Artificial Intelligence"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -1987,6 +2028,47 @@
     "url": "https://www.ycombinator.com/companies/coasty",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/coasty.json"
   },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+  },
   {
     "id": 33806,
     "name": "Experiential Labs",
diff --git a/batches/summer-2026/cerenovus.json b/batches/summer-2026/cerenovus.json
index d8eaa0fbd..6d78df8f3 100644
--- a/batches/summer-2026/cerenovus.json
+++ b/batches/summer-2026/cerenovus.json
@@ -3,7 +3,7 @@
   "name": "Cerenovus",
   "slug": "cerenovus",
   "former_names": [],
-  "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+  "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png",
   "website": "https://www.cerenovus.ai/",
   "all_locations": "San Francisco, CA, USA",
   "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
@@ -13,7 +13,7 @@
   "subindustry": "B2B",
   "launched_at": 1780900630,
   "tags": [
-    "AI"
+    "Artificial Intelligence"
   ],
   "tags_highlighted": [],
   "top_company": false,
diff --git a/batches/summer-2026/edviro.json b/batches/summer-2026/edviro.json
new file mode 100644
index 000000000..8a66d7544
--- /dev/null
+++ b/batches/summer-2026/edviro.json
@@ -0,0 +1,41 @@
+{
+  "id": 33805,
+  "name": "Edviro",
+  "slug": "edviro",
+  "former_names": [],
+  "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+  "website": "https://edviroenergy.com",
+  "all_locations": "San Francisco, CA, USA",
+  "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+  "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+  "team_size": 2,
+  "industry": "B2B",
+  "subindustry": "B2B -> Infrastructure",
+  "launched_at": 1782807553,
+  "tags": [
+    "Deep Learning",
+    "B2B",
+    "Energy"
+  ],
+  "tags_highlighted": [],
+  "top_company": false,
+  "isHiring": false,
+  "nonprofit": false,
+  "batch": "Summer 2026",
+  "status": "Active",
+  "industries": [
+    "B2B",
+    "Infrastructure"
+  ],
+  "regions": [
+    "United States of America",
+    "America / Canada"
+  ],
+  "stage": "Early",
+  "app_video_public": false,
+  "demo_day_video_public": false,
+  "app_answers": null,
+  "question_answers": false,
+  "url": "https://www.ycombinator.com/companies/edviro",
+  "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+}
diff --git a/batches/summer-2026/prized.json b/batches/summer-2026/prized.json
new file mode 100644
index 000000000..3c8cfb392
--- /dev/null
+++ b/batches/summer-2026/prized.json
@@ -0,0 +1,41 @@
+{
+  "id": 32164,
+  "name": "Prized",
+  "slug": "prized",
+  "former_names": [],
+  "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+  "website": "https://prized.dev",
+  "all_locations": "San Francisco, CA, USA",
+  "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+  "one_liner": "Internal tools, built by the people who use them.",
+  "team_size": 2,
+  "industry": "B2B",
+  "subindustry": "B2B -> Engineering, Product and Design",
+  "launched_at": 1782800618,
+  "tags": [
+    "Developer Tools",
+    "SaaS",
+    "Productivity"
+  ],
+  "tags_highlighted": [],
+  "top_company": false,
+  "isHiring": false,
+  "nonprofit": false,
+  "batch": "Summer 2026",
+  "status": "Active",
+  "industries": [
+    "B2B",
+    "Engineering, Product and Design"
+  ],
+  "regions": [
+    "United States of America",
+    "America / Canada"
+  ],
+  "stage": "Early",
+  "app_video_public": false,
+  "demo_day_video_public": false,
+  "app_answers": null,
+  "question_answers": false,
+  "url": "https://www.ycombinator.com/companies/prized",
+  "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+}
diff --git a/batches/winter-2015.json b/batches/winter-2015.json
index 548a606dc..c9752746a 100644
--- a/batches/winter-2015.json
+++ b/batches/winter-2015.json
@@ -1313,19 +1313,19 @@
     "former_names": [],
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
     "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
     "launched_at": 1416220798,
     "tags": [
+      "AI-Enhanced Learning",
       "Education",
       "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
+      "Sales Enablement",
+      "HR Tech"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -1334,23 +1334,16 @@
     "batch": "Winter 2015",
     "status": "Active",
     "industries": [
-      "Education"
+      "B2B",
+      "Productivity"
     ],
     "regions": [
       "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
       "America / Canada",
-      "Latin America",
-      "Europe",
       "Remote",
-      "Fully Remote"
+      "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": true,
     "app_answers": null,
diff --git a/batches/winter-2015/platzi.json b/batches/winter-2015/platzi.json
index 4e1311c0e..4fe838662 100644
--- a/batches/winter-2015/platzi.json
+++ b/batches/winter-2015/platzi.json
@@ -5,19 +5,19 @@
   "former_names": [],
   "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
   "website": "https://platzi.com",
-  "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-  "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-  "one_liner": "Latin America's School of Technology",
-  "team_size": 300,
-  "industry": "Education",
-  "subindustry": "Education",
+  "all_locations": "San Francisco, CA, USA",
+  "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+  "one_liner": "Turning company knowledge into expert teams",
+  "team_size": 123,
+  "industry": "B2B",
+  "subindustry": "B2B -> Productivity",
   "launched_at": 1416220798,
   "tags": [
+    "AI-Enhanced Learning",
     "Education",
     "eLearning",
-    "Video",
-    "HR Tech",
-    "Subscriptions"
+    "Sales Enablement",
+    "HR Tech"
   ],
   "tags_highlighted": [],
   "top_company": false,
@@ -26,23 +26,16 @@
   "batch": "Winter 2015",
   "status": "Active",
   "industries": [
-    "Education"
+    "B2B",
+    "Productivity"
   ],
   "regions": [
     "United States of America",
-    "Chile",
-    "Mexico",
-    "Spain",
-    "Argentina",
-    "Colombia",
-    "Peru",
     "America / Canada",
-    "Latin America",
-    "Europe",
     "Remote",
-    "Fully Remote"
+    "Partly Remote"
   ],
-  "stage": "Growth",
+  "stage": "Early",
   "app_video_public": false,
   "demo_day_video_public": true,
   "app_answers": null,
diff --git a/changes.ts b/changes.ts
new file mode 100644
index 000000000..78478002a
--- /dev/null
+++ b/changes.ts
@@ -0,0 +1,250 @@
+export type CompanySnapshot = {
+  id: number;
+  name: string;
+  slug: string;
+  batch?: string;
+  one_liner?: string;
+  url?: string;
+  [key: string]: unknown;
+};
+
+export type CompanyFieldChange = {
+  before: unknown;
+  after: unknown;
+};
+
+export type UpdatedCompany = {
+  id: number;
+  name: string;
+  slug: string;
+  batch: string | undefined;
+  url: string | undefined;
+  changed_fields: string[];
+  changes: Record<string, CompanyFieldChange>;
+};
+
+export type CompanyChangeSet = {
+  generated_at: string;
+  summary: {
+    previous_total: number;
+    current_total: number;
+    added: number;
+    removed: number;
+    updated: number;
+  };
+  added: CompanySnapshot[];
+  removed: CompanySnapshot[];
+  updated: UpdatedCompany[];
+};
+
+export type BuildCompanyChangeSetOptions = {
+  previousCompanies: CompanySnapshot[];
+  currentCompanies: CompanySnapshot[];
+  generatedAt: string;
+};
+
+const compareCompanies = (a: CompanySnapshot, b: CompanySnapshot): number => {
+  const idComparison = a.id - b.id;
+  if (idComparison !== 0) return idComparison;
+  return a.slug.localeCompare(b.slug);
+};
+
+const stableStringify = (value: unknown): string => {
+  if (Array.isArray(value)) {
+    return `[${value.map((item) => stableStringify(item)).join(",")}]`;
+  }
+  if (value && typeof value === "object") {
+    const entries = Object.entries(value as Record<string, unknown>)
+      .sort(([a], [b]) => a.localeCompare(b));
+    return `{${
+      entries.map(([key, nestedValue]) =>
+        `${JSON.stringify(key)}:${stableStringify(nestedValue)}`
+      ).join(",")
+    }}`;
+  }
+  return JSON.stringify(value);
+};
+
+const valuesEqual = (a: unknown, b: unknown): boolean =>
+  stableStringify(a) === stableStringify(b);
+
+const buildCompanyMap = (
+  companies: CompanySnapshot[],
+): Map<number, CompanySnapshot> =>
+  new Map(companies.map((company) => [company.id, company]));
+
+export const buildCompanyChangeSet = ({
+  previousCompanies,
+  currentCompanies,
+  generatedAt,
+}: BuildCompanyChangeSetOptions): CompanyChangeSet => {
+  const previousById = buildCompanyMap(previousCompanies);
+  const currentById = buildCompanyMap(currentCompanies);
+
+  const added = currentCompanies
+    .filter((company) => !previousById.has(company.id))
+    .sort(compareCompanies);
+  const removed = previousCompanies
+    .filter((company) => !currentById.has(company.id))
+    .sort(compareCompanies);
+  const updated = currentCompanies
+    .filter((company) => previousById.has(company.id))
+    .map((company) => {
+      const previousCompany = previousById.get(company.id)!;
+      const fieldNames = Array.from(
+        new Set([
+          ...Object.keys(previousCompany),
+          ...Object.keys(company),
+        ]),
+      ).sort((a, b) => a.localeCompare(b));
+      const changedFields = fieldNames.filter((fieldName) =>
+        !valuesEqual(previousCompany[fieldName], company[fieldName])
+      );
+
+      if (changedFields.length === 0) return undefined;
+
+      const changes = Object.fromEntries(
+        changedFields.map((fieldName) => [fieldName, {
+          before: previousCompany[fieldName],
+          after: company[fieldName],
+        }]),
+      ) as Record<string, CompanyFieldChange>;
+
+      return {
+        id: company.id,
+        name: company.name,
+        slug: company.slug,
+        batch: company.batch,
+        url: company.url,
+        changed_fields: changedFields,
+        changes,
+      };
+    })
+    .filter((company): company is UpdatedCompany => company !== undefined)
+    .sort((a, b) => {
+      const idComparison = a.id - b.id;
+      if (idComparison !== 0) return idComparison;
+      return a.slug.localeCompare(b.slug);
+    });
+
+  return {
+    generated_at: generatedAt,
+    summary: {
+      previous_total: previousCompanies.length,
+      current_total: currentCompanies.length,
+      added: added.length,
+      removed: removed.length,
+      updated: updated.length,
+    },
+    added,
+    removed,
+    updated,
+  };
+};
+
+export const hasCompanyChanges = (changeSet: CompanyChangeSet): boolean =>
+  changeSet.summary.added > 0 || changeSet.summary.removed > 0 ||
+  changeSet.summary.updated > 0;
+
+const truncate = (value: string): string => {
+  const normalized = value.replace(/\s+/g, " ").trim();
+  if (normalized.length <= 160) return normalized;
+  return `${normalized.slice(0, 157)}...`;
+};
+
+const valueToMarkdown = (value: unknown): string => {
+  if (typeof value === "string") return truncate(value);
+  if (value === null || value === undefined) return String(value);
+  return truncate(JSON.stringify(value));
+};
+
+const companyLink = (company: Pick<CompanySnapshot, "name" | "url">): string =>
+  company.url ? `[${company.name}](${company.url})` : company.name;
+
+const renderCompanyBullet = (company: CompanySnapshot): string => {
+  const details = [company.batch, company.one_liner]
+    .filter((value): value is string =>
+      typeof value === "string" && value.length > 0
+    )
+    .join(" — ");
+  return `- ${companyLink(company)}${details ? ` (${details})` : ""}`;
+};
+
+export const renderCompanyChangesMarkdown = (
+  changeSet: CompanyChangeSet,
+): string => {
+  const date = changeSet.generated_at.slice(0, 10);
+  let markdown = `# YC company changes for ${date}\n\n`;
+  markdown += `- Previous total: ${changeSet.summary.previous_total}\n`;
+  markdown += `- Current total: ${changeSet.summary.current_total}\n`;
+  markdown += `- Added: ${changeSet.summary.added}\n`;
+  markdown += `- Removed: ${changeSet.summary.removed}\n`;
+  markdown += `- Updated: ${changeSet.summary.updated}\n\n`;
+
+  if (!hasCompanyChanges(changeSet)) {
+    markdown += "No company records changed.\n";
+    return markdown;
+  }
+
+  if (changeSet.added.length > 0) {
+    markdown += "## Added companies\n\n";
+    markdown += changeSet.added.map(renderCompanyBullet).join("\n");
+    markdown += "\n\n";
+  }
+
+  if (changeSet.removed.length > 0) {
+    markdown += "## Removed companies\n\n";
+    markdown += changeSet.removed.map(renderCompanyBullet).join("\n");
+    markdown += "\n\n";
+  }
+
+  if (changeSet.updated.length > 0) {
+    markdown += "## Updated companies\n\n";
+    for (const company of changeSet.updated) {
+      markdown += `### ${companyLink(company)}\n\n`;
+      for (const fieldName of company.changed_fields) {
+        const change = company.changes[fieldName];
+        markdown += `- \`${fieldName}\`: ${valueToMarkdown(change.before)} → ${
+          valueToMarkdown(change.after)
+        }\n`;
+      }
+      markdown += "\n";
+    }
+  }
+
+  return markdown;
+};
+
+export type WriteCompanyChangeFilesOptions = {
+  directory: string;
+  changeSet: CompanyChangeSet;
+};
+
+export type WriteCompanyChangeFilesResult = {
+  written: string[];
+};
+
+export const writeCompanyChangeFiles = async ({
+  directory,
+  changeSet,
+}: WriteCompanyChangeFilesOptions): Promise<WriteCompanyChangeFilesResult> => {
+  if (!hasCompanyChanges(changeSet)) return { written: [] };
+
+  await Deno.mkdir(directory, { recursive: true });
+
+  const date = changeSet.generated_at.slice(0, 10);
+  const json = JSON.stringify(changeSet, null, 2) + "\n";
+  const markdown = renderCompanyChangesMarkdown(changeSet);
+  const files = [
+    { name: `${date}.json`, content: json },
+    { name: `${date}.md`, content: markdown },
+    { name: "latest.json", content: json },
+    { name: "latest.md", content: markdown },
+  ];
+
+  for (const file of files) {
+    await Deno.writeTextFile(`${directory}/${file.name}`, file.content);
+  }
+
+  return { written: files.map((file) => file.name) };
+};
diff --git a/changes/2026-06-30.json b/changes/2026-06-30.json
new file mode 100644
index 000000000..11465827b
--- /dev/null
+++ b/changes/2026-06-30.json
@@ -0,0 +1,314 @@
+{
+  "generated_at": "2026-06-30T08:35:34.099Z",
+  "summary": {
+    "previous_total": 5994,
+    "current_total": 5996,
+    "added": 2,
+    "removed": 0,
+    "updated": 5
+  },
+  "added": [
+    {
+      "id": 32164,
+      "name": "Prized",
+      "slug": "prized",
+      "former_names": [],
+      "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+      "website": "https://prized.dev",
+      "all_locations": "San Francisco, CA, USA",
+      "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+      "one_liner": "Internal tools, built by the people who use them.",
+      "team_size": 2,
+      "industry": "B2B",
+      "subindustry": "B2B -> Engineering, Product and Design",
+      "launched_at": 1782800618,
+      "tags": [
+        "Developer Tools",
+        "SaaS",
+        "Productivity"
+      ],
+      "tags_highlighted": [],
+      "top_company": false,
+      "isHiring": false,
+      "nonprofit": false,
+      "batch": "Summer 2026",
+      "status": "Active",
+      "industries": [
+        "B2B",
+        "Engineering, Product and Design"
+      ],
+      "regions": [
+        "United States of America",
+        "America / Canada"
+      ],
+      "stage": "Early",
+      "app_video_public": false,
+      "demo_day_video_public": false,
+      "app_answers": null,
+      "question_answers": false,
+      "url": "https://www.ycombinator.com/companies/prized",
+      "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+    },
+    {
+      "id": 33805,
+      "name": "Edviro",
+      "slug": "edviro",
+      "former_names": [],
+      "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+      "website": "https://edviroenergy.com",
+      "all_locations": "San Francisco, CA, USA",
+      "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+      "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+      "team_size": 2,
+      "industry": "B2B",
+      "subindustry": "B2B -> Infrastructure",
+      "launched_at": 1782807553,
+      "tags": [
+        "Deep Learning",
+        "B2B",
+        "Energy"
+      ],
+      "tags_highlighted": [],
+      "top_company": false,
+      "isHiring": false,
+      "nonprofit": false,
+      "batch": "Summer 2026",
+      "status": "Active",
+      "industries": [
+        "B2B",
+        "Infrastructure"
+      ],
+      "regions": [
+        "United States of America",
+        "America / Canada"
+      ],
+      "stage": "Early",
+      "app_video_public": false,
+      "demo_day_video_public": false,
+      "app_answers": null,
+      "question_answers": false,
+      "url": "https://www.ycombinator.com/companies/edviro",
+      "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+    }
+  ],
+  "removed": [],
+  "updated": [
+    {
+      "id": 774,
+      "name": "Platzi",
+      "slug": "platzi",
+      "batch": "Winter 2015",
+      "url": "https://www.ycombinator.com/companies/platzi",
+      "changed_fields": [
+        "all_locations",
+        "industries",
+        "industry",
+        "long_description",
+        "one_liner",
+        "regions",
+        "stage",
+        "subindustry",
+        "tags",
+        "team_size"
+      ],
+      "changes": {
+        "all_locations": {
+          "before": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
+          "after": "San Francisco, CA, USA"
+        },
+        "industries": {
+          "before": [
+            "Education"
+          ],
+          "after": [
+            "B2B",
+            "Productivity"
+          ]
+        },
+        "industry": {
+          "before": "Education",
+          "after": "B2B"
+        },
+        "long_description": {
+          "before": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
+          "after": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion."
+        },
+        "one_liner": {
+          "before": "Latin America's School of Technology",
+          "after": "Turning company knowledge into expert teams"
+        },
+        "regions": {
+          "before": [
+            "United States of America",
+            "Chile",
+            "Mexico",
+            "Spain",
+            "Argentina",
+            "Colombia",
+            "Peru",
+            "America / Canada",
+            "Latin America",
+            "Europe",
+            "Remote",
+            "Fully Remote"
+          ],
+          "after": [
+            "United States of America",
+            "America / Canada",
+            "Remote",
+            "Partly Remote"
+          ]
+        },
+        "stage": {
+          "before": "Growth",
+          "after": "Early"
+        },
+        "subindustry": {
+          "before": "Education",
+          "after": "B2B -> Productivity"
+        },
+        "tags": {
+          "before": [
+            "Education",
+            "eLearning",
+            "Video",
+            "HR Tech",
+            "Subscriptions"
+          ],
+          "after": [
+            "AI-Enhanced Learning",
+            "Education",
+            "eLearning",
+            "Sales Enablement",
+            "HR Tech"
+          ]
+        },
+        "team_size": {
+          "before": 300,
+          "after": 123
+        }
+      }
+    },
+    {
+      "id": 29079,
+      "name": "Tiptap",
+      "slug": "tiptap",
+      "batch": "Summer 2023",
+      "url": "https://www.ycombinator.com/companies/tiptap",
+      "changed_fields": [
+        "stage",
+        "tags",
+        "team_size"
+      ],
+      "changes": {
+        "stage": {
+          "before": "Growth",
+          "after": "Early"
+        },
+        "tags": {
+          "before": [
+            "Developer Tools",
+            "Open Source",
+            "AI"
+          ],
+          "after": [
+            "Artificial Intelligence",
+            "Developer Tools",
+            "Open Source"
+          ]
+        },
+        "team_size": {
+          "before": 18,
+          "after": 19
+        }
+      }
+    },
+    {
+      "id": 29987,
+      "name": "Syntra",
+      "slug": "syntra",
+      "batch": "Summer 2024",
+      "url": "https://www.ycombinator.com/companies/syntra",
+      "changed_fields": [
+        "long_description",
+        "tags"
+      ],
+      "changes": {
+        "long_description": {
+          "before": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+          "after": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent."
+        },
+        "tags": {
+          "before": [
+            "Big Data",
+            "Healthcare IT",
+            "AI"
+          ],
+          "after": [
+            "Artificial Intelligence",
+            "Big Data",
+            "Healthcare IT"
+          ]
+        }
+      }
+    },
+    {
+      "id": 30622,
+      "name": "Liva AI",
+      "slug": "liva-ai",
+      "batch": "Summer 2025",
+      "url": "https://www.ycombinator.com/companies/liva-ai",
+      "changed_fields": [
+        "tags",
+        "team_size"
+      ],
+      "changes": {
+        "tags": {
+          "before": [
+            "Artificial Intelligence",
+            "Marketplace",
+            "B2B",
+            "Data Labeling",
+            "Big Data"
+          ],
+          "after": [
+            "Marketplace",
+            "B2B",
+            "Data Labeling",
+            "Big Data",
+            "AI"
+          ]
+        },
+        "team_size": {
+          "before": 2,
+          "after": 4
+        }
+      }
+    },
+    {
+      "id": 32520,
+      "name": "Cerenovus",
+      "slug": "cerenovus",
+      "batch": "Summer 2026",
+      "url": "https://www.ycombinator.com/companies/cerenovus",
+      "changed_fields": [
+        "small_logo_thumb_url",
+        "tags"
+      ],
+      "changes": {
+        "small_logo_thumb_url": {
+          "before": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+          "after": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png"
+        },
+        "tags": {
+          "before": [
+            "AI"
+          ],
+          "after": [
+            "Artificial Intelligence"
+          ]
+        }
+      }
+    }
+  ]
+}
diff --git a/changes/2026-06-30.md b/changes/2026-06-30.md
new file mode 100644
index 000000000..7344d63e9
--- /dev/null
+++ b/changes/2026-06-30.md
@@ -0,0 +1,49 @@
+# YC company changes for 2026-06-30
+
+- Previous total: 5994
+- Current total: 5996
+- Added: 2
+- Removed: 0
+- Updated: 5
+
+## Added companies
+
+- [Prized](https://www.ycombinator.com/companies/prized) (Summer 2026 — Internal tools, built by the people who use them.)
+- [Edviro](https://www.ycombinator.com/companies/edviro) (Summer 2026 — Energy world models that fix energy waste before it becomes expensive.)
+
+## Updated companies
+
+### [Platzi](https://www.ycombinator.com/companies/platzi)
+
+- `all_locations`: San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Arg... → San Francisco, CA, USA
+- `industries`: ["Education"] → ["B2B","Productivity"]
+- `industry`: Education → B2B
+- `long_description`: Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide. ... → Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers...
+- `one_liner`: Latin America's School of Technology → Turning company knowledge into expert teams
+- `regions`: ["United States of America","Chile","Mexico","Spain","Argentina","Colombia","Peru","America / Canada","Latin America","Europe","Remote","Fully Remote"] → ["United States of America","America / Canada","Remote","Partly Remote"]
+- `stage`: Growth → Early
+- `subindustry`: Education → B2B -> Productivity
+- `tags`: ["Education","eLearning","Video","HR Tech","Subscriptions"] → ["AI-Enhanced Learning","Education","eLearning","Sales Enablement","HR Tech"]
+- `team_size`: 300 → 123
+
+### [Tiptap](https://www.ycombinator.com/companies/tiptap)
+
+- `stage`: Growth → Early
+- `tags`: ["Developer Tools","Open Source","AI"] → ["Artificial Intelligence","Developer Tools","Open Source"]
+- `team_size`: 18 → 19
+
+### [Syntra](https://www.ycombinator.com/companies/syntra)
+
+- `long_description`: Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and bui... → Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. In our first year post launch, Syntra has already audited over 1M ...
+- `tags`: ["Big Data","Healthcare IT","AI"] → ["Artificial Intelligence","Big Data","Healthcare IT"]
+
+### [Liva AI](https://www.ycombinator.com/companies/liva-ai)
+
+- `tags`: ["Artificial Intelligence","Marketplace","B2B","Data Labeling","Big Data"] → ["Marketplace","B2B","Data Labeling","Big Data","AI"]
+- `team_size`: 2 → 4
+
+### [Cerenovus](https://www.ycombinator.com/companies/cerenovus)
+
+- `small_logo_thumb_url`: https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png → https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png
+- `tags`: ["AI"] → ["Artificial Intelligence"]
+
diff --git a/changes/latest.json b/changes/latest.json
new file mode 100644
index 000000000..11465827b
--- /dev/null
+++ b/changes/latest.json
@@ -0,0 +1,314 @@
+{
+  "generated_at": "2026-06-30T08:35:34.099Z",
+  "summary": {
+    "previous_total": 5994,
+    "current_total": 5996,
+    "added": 2,
+    "removed": 0,
+    "updated": 5
+  },
+  "added": [
+    {
+      "id": 32164,
+      "name": "Prized",
+      "slug": "prized",
+      "former_names": [],
+      "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+      "website": "https://prized.dev",
+      "all_locations": "San Francisco, CA, USA",
+      "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+      "one_liner": "Internal tools, built by the people who use them.",
+      "team_size": 2,
+      "industry": "B2B",
+      "subindustry": "B2B -> Engineering, Product and Design",
+      "launched_at": 1782800618,
+      "tags": [
+        "Developer Tools",
+        "SaaS",
+        "Productivity"
+      ],
+      "tags_highlighted": [],
+      "top_company": false,
+      "isHiring": false,
+      "nonprofit": false,
+      "batch": "Summer 2026",
+      "status": "Active",
+      "industries": [
+        "B2B",
+        "Engineering, Product and Design"
+      ],
+      "regions": [
+        "United States of America",
+        "America / Canada"
+      ],
+      "stage": "Early",
+      "app_video_public": false,
+      "demo_day_video_public": false,
+      "app_answers": null,
+      "question_answers": false,
+      "url": "https://www.ycombinator.com/companies/prized",
+      "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+    },
+    {
+      "id": 33805,
+      "name": "Edviro",
+      "slug": "edviro",
+      "former_names": [],
+      "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+      "website": "https://edviroenergy.com",
+      "all_locations": "San Francisco, CA, USA",
+      "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+      "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+      "team_size": 2,
+      "industry": "B2B",
+      "subindustry": "B2B -> Infrastructure",
+      "launched_at": 1782807553,
+      "tags": [
+        "Deep Learning",
+        "B2B",
+        "Energy"
+      ],
+      "tags_highlighted": [],
+      "top_company": false,
+      "isHiring": false,
+      "nonprofit": false,
+      "batch": "Summer 2026",
+      "status": "Active",
+      "industries": [
+        "B2B",
+        "Infrastructure"
+      ],
+      "regions": [
+        "United States of America",
+        "America / Canada"
+      ],
+      "stage": "Early",
+      "app_video_public": false,
+      "demo_day_video_public": false,
+      "app_answers": null,
+      "question_answers": false,
+      "url": "https://www.ycombinator.com/companies/edviro",
+      "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+    }
+  ],
+  "removed": [],
+  "updated": [
+    {
+      "id": 774,
+      "name": "Platzi",
+      "slug": "platzi",
+      "batch": "Winter 2015",
+      "url": "https://www.ycombinator.com/companies/platzi",
+      "changed_fields": [
+        "all_locations",
+        "industries",
+        "industry",
+        "long_description",
+        "one_liner",
+        "regions",
+        "stage",
+        "subindustry",
+        "tags",
+        "team_size"
+      ],
+      "changes": {
+        "all_locations": {
+          "before": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
+          "after": "San Francisco, CA, USA"
+        },
+        "industries": {
+          "before": [
+            "Education"
+          ],
+          "after": [
+            "B2B",
+            "Productivity"
+          ]
+        },
+        "industry": {
+          "before": "Education",
+          "after": "B2B"
+        },
+        "long_description": {
+          "before": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
+          "after": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion."
+        },
+        "one_liner": {
+          "before": "Latin America's School of Technology",
+          "after": "Turning company knowledge into expert teams"
+        },
+        "regions": {
+          "before": [
+            "United States of America",
+            "Chile",
+            "Mexico",
+            "Spain",
+            "Argentina",
+            "Colombia",
+            "Peru",
+            "America / Canada",
+            "Latin America",
+            "Europe",
+            "Remote",
+            "Fully Remote"
+          ],
+          "after": [
+            "United States of America",
+            "America / Canada",
+            "Remote",
+            "Partly Remote"
+          ]
+        },
+        "stage": {
+          "before": "Growth",
+          "after": "Early"
+        },
+        "subindustry": {
+          "before": "Education",
+          "after": "B2B -> Productivity"
+        },
+        "tags": {
+          "before": [
+            "Education",
+            "eLearning",
+            "Video",
+            "HR Tech",
+            "Subscriptions"
+          ],
+          "after": [
+            "AI-Enhanced Learning",
+            "Education",
+            "eLearning",
+            "Sales Enablement",
+            "HR Tech"
+          ]
+        },
+        "team_size": {
+          "before": 300,
+          "after": 123
+        }
+      }
+    },
+    {
+      "id": 29079,
+      "name": "Tiptap",
+      "slug": "tiptap",
+      "batch": "Summer 2023",
+      "url": "https://www.ycombinator.com/companies/tiptap",
+      "changed_fields": [
+        "stage",
+        "tags",
+        "team_size"
+      ],
+      "changes": {
+        "stage": {
+          "before": "Growth",
+          "after": "Early"
+        },
+        "tags": {
+          "before": [
+            "Developer Tools",
+            "Open Source",
+            "AI"
+          ],
+          "after": [
+            "Artificial Intelligence",
+            "Developer Tools",
+            "Open Source"
+          ]
+        },
+        "team_size": {
+          "before": 18,
+          "after": 19
+        }
+      }
+    },
+    {
+      "id": 29987,
+      "name": "Syntra",
+      "slug": "syntra",
+      "batch": "Summer 2024",
+      "url": "https://www.ycombinator.com/companies/syntra",
+      "changed_fields": [
+        "long_description",
+        "tags"
+      ],
+      "changes": {
+        "long_description": {
+          "before": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+          "after": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent."
+        },
+        "tags": {
+          "before": [
+            "Big Data",
+            "Healthcare IT",
+            "AI"
+          ],
+          "after": [
+            "Artificial Intelligence",
+            "Big Data",
+            "Healthcare IT"
+          ]
+        }
+      }
+    },
+    {
+      "id": 30622,
+      "name": "Liva AI",
+      "slug": "liva-ai",
+      "batch": "Summer 2025",
+      "url": "https://www.ycombinator.com/companies/liva-ai",
+      "changed_fields": [
+        "tags",
+        "team_size"
+      ],
+      "changes": {
+        "tags": {
+          "before": [
+            "Artificial Intelligence",
+            "Marketplace",
+            "B2B",
+            "Data Labeling",
+            "Big Data"
+          ],
+          "after": [
+            "Marketplace",
+            "B2B",
+            "Data Labeling",
+            "Big Data",
+            "AI"
+          ]
+        },
+        "team_size": {
+          "before": 2,
+          "after": 4
+        }
+      }
+    },
+    {
+      "id": 32520,
+      "name": "Cerenovus",
+      "slug": "cerenovus",
+      "batch": "Summer 2026",
+      "url": "https://www.ycombinator.com/companies/cerenovus",
+      "changed_fields": [
+        "small_logo_thumb_url",
+        "tags"
+      ],
+      "changes": {
+        "small_logo_thumb_url": {
+          "before": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+          "after": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png"
+        },
+        "tags": {
+          "before": [
+            "AI"
+          ],
+          "after": [
+            "Artificial Intelligence"
+          ]
+        }
+      }
+    }
+  ]
+}
diff --git a/changes/latest.md b/changes/latest.md
new file mode 100644
index 000000000..7344d63e9
--- /dev/null
+++ b/changes/latest.md
@@ -0,0 +1,49 @@
+# YC company changes for 2026-06-30
+
+- Previous total: 5994
+- Current total: 5996
+- Added: 2
+- Removed: 0
+- Updated: 5
+
+## Added companies
+
+- [Prized](https://www.ycombinator.com/companies/prized) (Summer 2026 — Internal tools, built by the people who use them.)
+- [Edviro](https://www.ycombinator.com/companies/edviro) (Summer 2026 — Energy world models that fix energy waste before it becomes expensive.)
+
+## Updated companies
+
+### [Platzi](https://www.ycombinator.com/companies/platzi)
+
+- `all_locations`: San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Arg... → San Francisco, CA, USA
+- `industries`: ["Education"] → ["B2B","Productivity"]
+- `industry`: Education → B2B
+- `long_description`: Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide. ... → Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers...
+- `one_liner`: Latin America's School of Technology → Turning company knowledge into expert teams
+- `regions`: ["United States of America","Chile","Mexico","Spain","Argentina","Colombia","Peru","America / Canada","Latin America","Europe","Remote","Fully Remote"] → ["United States of America","America / Canada","Remote","Partly Remote"]
+- `stage`: Growth → Early
+- `subindustry`: Education → B2B -> Productivity
+- `tags`: ["Education","eLearning","Video","HR Tech","Subscriptions"] → ["AI-Enhanced Learning","Education","eLearning","Sales Enablement","HR Tech"]
+- `team_size`: 300 → 123
+
+### [Tiptap](https://www.ycombinator.com/companies/tiptap)
+
+- `stage`: Growth → Early
+- `tags`: ["Developer Tools","Open Source","AI"] → ["Artificial Intelligence","Developer Tools","Open Source"]
+- `team_size`: 18 → 19
+
+### [Syntra](https://www.ycombinator.com/companies/syntra)
+
+- `long_description`: Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and bui... → Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. In our first year post launch, Syntra has already audited over 1M ...
+- `tags`: ["Big Data","Healthcare IT","AI"] → ["Artificial Intelligence","Big Data","Healthcare IT"]
+
+### [Liva AI](https://www.ycombinator.com/companies/liva-ai)
+
+- `tags`: ["Artificial Intelligence","Marketplace","B2B","Data Labeling","Big Data"] → ["Marketplace","B2B","Data Labeling","Big Data","AI"]
+- `team_size`: 2 → 4
+
+### [Cerenovus](https://www.ycombinator.com/companies/cerenovus)
+
+- `small_logo_thumb_url`: https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png → https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png
+- `tags`: ["AI"] → ["Artificial Intelligence"]
+
diff --git a/changes_test.ts b/changes_test.ts
new file mode 100644
index 000000000..f587e404d
--- /dev/null
+++ b/changes_test.ts
@@ -0,0 +1,157 @@
+import { assertEquals, assertRejects, assertStringIncludes } from "@std/assert";
+import {
+  buildCompanyChangeSet,
+  hasCompanyChanges,
+  renderCompanyChangesMarkdown,
+  writeCompanyChangeFiles,
+} from "./changes.ts";
+
+const baseCompany = {
+  id: 1,
+  name: "Acme AI",
+  slug: "acme-ai",
+  batch: "S24",
+  one_liner: "Builds agents for invoices",
+  website: "https://acme.example",
+  url: "https://www.ycombinator.com/companies/acme-ai",
+  isHiring: false,
+};
+
+Deno.test("buildCompanyChangeSet detects added, removed, and updated companies", () => {
+  const removedCompany = {
+    ...baseCompany,
+    id: 2,
+    name: "Old Co",
+    slug: "old-co",
+  };
+  const addedCompany = {
+    ...baseCompany,
+    id: 3,
+    name: "New Co",
+    slug: "new-co",
+    one_liner: "Newly launched",
+  };
+
+  const changeSet = buildCompanyChangeSet({
+    previousCompanies: [baseCompany, removedCompany],
+    currentCompanies: [
+      {
+        ...baseCompany,
+        one_liner: "Builds agents for receipts",
+        isHiring: true,
+      },
+      addedCompany,
+    ],
+    generatedAt: "2026-06-30T00:00:00.000Z",
+  });
+
+  assertEquals(changeSet.summary, {
+    previous_total: 2,
+    current_total: 2,
+    added: 1,
+    removed: 1,
+    updated: 1,
+  });
+  assertEquals(changeSet.added.map((company) => company.slug), ["new-co"]);
+  assertEquals(changeSet.removed.map((company) => company.slug), ["old-co"]);
+  assertEquals(changeSet.updated.map((company) => company.slug), ["acme-ai"]);
+  assertEquals(changeSet.updated[0].changed_fields, ["isHiring", "one_liner"]);
+  assertEquals(changeSet.updated[0].changes.one_liner, {
+    before: "Builds agents for invoices",
+    after: "Builds agents for receipts",
+  });
+  assertEquals(hasCompanyChanges(changeSet), true);
+});
+
+Deno.test("renderCompanyChangesMarkdown summarizes the daily diff", () => {
+  const changeSet = buildCompanyChangeSet({
+    previousCompanies: [baseCompany],
+    currentCompanies: [
+      {
+        ...baseCompany,
+        one_liner: "Builds agents for receipts",
+        isHiring: true,
+      },
+      {
+        ...baseCompany,
+        id: 3,
+        name: "New Co",
+        slug: "new-co",
+        url: "https://www.ycombinator.com/companies/new-co",
+      },
+    ],
+    generatedAt: "2026-06-30T00:00:00.000Z",
+  });
+
+  const markdown = renderCompanyChangesMarkdown(changeSet);
+
+  assertStringIncludes(markdown, "# YC company changes for 2026-06-30");
+  assertStringIncludes(markdown, "- Added: 1");
+  assertStringIncludes(markdown, "## Added companies");
+  assertStringIncludes(
+    markdown,
+    "[New Co](https://www.ycombinator.com/companies/new-co)",
+  );
+  assertStringIncludes(markdown, "## Updated companies");
+  assertStringIncludes(
+    markdown,
+    "`one_liner`: Builds agents for invoices → Builds agents for receipts",
+  );
+});
+
+Deno.test("renderCompanyChangesMarkdown handles days with no company changes", () => {
+  const changeSet = buildCompanyChangeSet({
+    previousCompanies: [baseCompany],
+    currentCompanies: [baseCompany],
+    generatedAt: "2026-06-30T00:00:00.000Z",
+  });
+
+  assertEquals(hasCompanyChanges(changeSet), false);
+  assertStringIncludes(
+    renderCompanyChangesMarkdown(changeSet),
+    "No company records changed.",
+  );
+});
+
+Deno.test("writeCompanyChangeFiles writes dated and latest change files", async () => {
+  const directory = await Deno.makeTempDir();
+  const changeSet = buildCompanyChangeSet({
+    previousCompanies: [baseCompany],
+    currentCompanies: [{ ...baseCompany, isHiring: true }],
+    generatedAt: "2026-06-30T00:00:00.000Z",
+  });
+
+  const { written } = await writeCompanyChangeFiles({ directory, changeSet });
+
+  assertEquals(written.sort(), [
+    "2026-06-30.json",
+    "2026-06-30.md",
+    "latest.json",
+    "latest.md",
+  ]);
+  const latestJson = JSON.parse(
+    await Deno.readTextFile(`${directory}/latest.json`),
+  );
+  assertEquals(latestJson.summary.updated, 1);
+  assertStringIncludes(
+    await Deno.readTextFile(`${directory}/latest.md`),
+    "`isHiring`: false → true",
+  );
+});
+
+Deno.test("writeCompanyChangeFiles skips no-change days to avoid noisy commits", async () => {
+  const directory = await Deno.makeTempDir();
+  const changeSet = buildCompanyChangeSet({
+    previousCompanies: [baseCompany],
+    currentCompanies: [baseCompany],
+    generatedAt: "2026-06-30T00:00:00.000Z",
+  });
+
+  const { written } = await writeCompanyChangeFiles({ directory, changeSet });
+
+  assertEquals(written, []);
+  await assertRejects(
+    () => Deno.stat(`${directory}/latest.json`),
+    Deno.errors.NotFound,
+  );
+});
diff --git a/companies/all.json b/companies/all.json
index 74fa8f5e6..e55813998 100644
--- a/companies/all.json
+++ b/companies/all.json
@@ -29737,19 +29737,19 @@
     "former_names": [],
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
     "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
     "launched_at": 1416220798,
     "tags": [
+      "AI-Enhanced Learning",
       "Education",
       "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
+      "Sales Enablement",
+      "HR Tech"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -29758,23 +29758,16 @@
     "batch": "Winter 2015",
     "status": "Active",
     "industries": [
-      "Education"
+      "B2B",
+      "Productivity"
     ],
     "regions": [
       "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
       "America / Canada",
-      "Latin America",
-      "Europe",
       "Remote",
-      "Fully Remote"
+      "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": true,
     "app_answers": null,
@@ -184272,14 +184265,14 @@
     "all_locations": "Berlin, Berlin, Germany",
     "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
     "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
+    "team_size": 19,
     "industry": "B2B",
     "subindustry": "B2B -> Engineering, Product and Design",
     "launched_at": 1687103873,
     "tags": [
+      "Artificial Intelligence",
       "Developer Tools",
-      "Open Source",
-      "AI"
+      "Open Source"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -184297,7 +184290,7 @@
       "Remote",
       "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": false,
     "app_answers": null,
@@ -208117,16 +208110,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -226260,16 +226253,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -253807,6 +253800,47 @@
     "url": "https://www.ycombinator.com/companies/rex-inc",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/rex-inc.json"
   },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+  },
   {
     "id": 32165,
     "name": "Rote",
@@ -254304,7 +254338,7 @@
     "name": "Cerenovus",
     "slug": "cerenovus",
     "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png",
     "website": "https://www.cerenovus.ai/",
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
@@ -254314,7 +254348,7 @@
     "subindustry": "B2B",
     "launched_at": 1780900630,
     "tags": [
-      "AI"
+      "Artificial Intelligence"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -255155,6 +255189,47 @@
     "url": "https://www.ycombinator.com/companies/coasty",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/coasty.json"
   },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+  },
   {
     "id": 33806,
     "name": "Experiential Labs",
diff --git a/companies/app-video-public.json b/companies/app-video-public.json
index d7deb9b55..a05db8eb1 100644
--- a/companies/app-video-public.json
+++ b/companies/app-video-public.json
@@ -4240,7 +4240,7 @@
     "name": "Cerenovus",
     "slug": "cerenovus",
     "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png",
     "website": "https://www.cerenovus.ai/",
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
@@ -4250,7 +4250,7 @@
     "subindustry": "B2B",
     "launched_at": 1780900630,
     "tags": [
-      "AI"
+      "Artificial Intelligence"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/companies/demo-day-video-public.json b/companies/demo-day-video-public.json
index b8bfd2bec..25de7e2d9 100644
--- a/companies/demo-day-video-public.json
+++ b/companies/demo-day-video-public.json
@@ -345,19 +345,19 @@
     "former_names": [],
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
     "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
     "launched_at": 1416220798,
     "tags": [
+      "AI-Enhanced Learning",
       "Education",
       "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
+      "Sales Enablement",
+      "HR Tech"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -366,23 +366,16 @@
     "batch": "Winter 2015",
     "status": "Active",
     "industries": [
-      "Education"
+      "B2B",
+      "Productivity"
     ],
     "regions": [
       "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
       "America / Canada",
-      "Latin America",
-      "Europe",
       "Remote",
-      "Fully Remote"
+      "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": true,
     "app_answers": null,
diff --git a/companies/hiring.json b/companies/hiring.json
index 138122cec..40094bfa9 100644
--- a/companies/hiring.json
+++ b/companies/hiring.json
@@ -48015,16 +48015,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -55595,16 +55595,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/deno.json b/deno.json
index 4fe058a5c..4020be5e2 100644
--- a/deno.json
+++ b/deno.json
@@ -1,9 +1,11 @@
 {
   "tasks": {
     "update": "deno run --allow-net --allow-read --allow-write fetcher.ts",
-    "check": "deno fmt --check fetcher.ts .github && deno lint fetcher.ts && deno check fetcher.ts"
+    "test": "deno test --allow-read --allow-write",
+    "check": "deno fmt --check fetcher.ts changes.ts changes_test.ts .github && deno lint fetcher.ts changes.ts changes_test.ts && deno check fetcher.ts changes.ts changes_test.ts && deno task test"
   },
   "imports": {
+    "@std/assert": "jsr:@std/assert@1.0.19",
     "@std/fs/ensure-dir": "jsr:@std/fs@1.0.23/ensure-dir",
     "slugify": "https://deno.land/x/slugify@0.3.0/mod.ts"
   }
diff --git a/deno.lock b/deno.lock
index bac3e266e..b26efa88e 100644
--- a/deno.lock
+++ b/deno.lock
@@ -1,11 +1,22 @@
 {
   "version": "5",
   "specifiers": {
-    "jsr:@std/fs@1.0.23": "1.0.23"
+    "jsr:@std/assert@1.0.19": "1.0.19",
+    "jsr:@std/fs@1.0.23": "1.0.23",
+    "jsr:@std/internal@^1.0.12": "1.0.13"
   },
   "jsr": {
+    "@std/assert@1.0.19": {
+      "integrity": "eaada96ee120cb980bc47e040f82814d786fe8162ecc53c91d8df60b8755991e",
+      "dependencies": [
+        "jsr:@std/internal"
+      ]
+    },
     "@std/fs@1.0.23": {
       "integrity": "3ecbae4ce4fee03b180fa710caff36bb5adb66631c46a6460aaad49515565a37"
+    },
+    "@std/internal@1.0.13": {
+      "integrity": "2f9546691d4ac2d32859c82dff284aaeac980ddeca38430d07941e7e288725c0"
     }
   },
   "remote": {
@@ -13,6 +24,7 @@
   },
   "workspace": {
     "dependencies": [
+      "jsr:@std/assert@1.0.19",
       "jsr:@std/fs@1.0.23"
     ]
   }
diff --git a/fetcher.ts b/fetcher.ts
index 35eb20930..e47090c30 100644
--- a/fetcher.ts
+++ b/fetcher.ts
@@ -1,5 +1,11 @@
 import { ensureDir } from "@std/fs/ensure-dir";
 import { slugify } from "slugify";
+import {
+  buildCompanyChangeSet,
+  type CompanySnapshot,
+  hasCompanyChanges,
+  writeCompanyChangeFiles,
+} from "./changes.ts";
 
 const indexName = "YCCompany_By_Launch_Date_production";
 const applicationId = "45BWZJ1SGC";
@@ -57,7 +63,7 @@ interface LaunchedCompany {
   question_answers: boolean;
 }
 
-type CompanyResult = LaunchedCompany & {
+type CompanyResult = CompanySnapshot & LaunchedCompany & {
   url: string;
   api: string;
 };
@@ -149,6 +155,20 @@ const fetchAllCompanies = async (): Promise<LaunchedCompany[]> => {
   return allCompanies.sort((a, b) => a.id - b.id);
 };
 
+const readPreviousCompanies = async (): Promise<CompanySnapshot[]> => {
+  try {
+    return JSON.parse(
+      await Deno.readTextFile("companies/all.json"),
+    ) as CompanySnapshot[];
+  } catch (error) {
+    if (error instanceof Deno.errors.NotFound) return [];
+    throw error;
+  }
+};
+
+const generatedAt = new Date();
+const previousCompanies = await readPreviousCompanies();
+
 await ensureDir("companies");
 await ensureDir("tags");
 await ensureDir("industries");
@@ -373,24 +393,41 @@ for (const company of results) {
   );
 }
 
+const changeSet = buildCompanyChangeSet({
+  previousCompanies,
+  currentCompanies: results,
+  generatedAt: generatedAt.toISOString(),
+});
+const { written: writtenChangeFiles } = await writeCompanyChangeFiles({
+  directory: "changes",
+  changeSet,
+});
+if (writtenChangeFiles.length > 0) {
+  console.log(`Wrote company change files: ${writtenChangeFiles.join(", ")}`);
+} else {
+  console.log("No company change files written");
+}
+
 const existingMeta = JSON.parse(await Deno.readTextFile("meta.json")) as Record<
   string,
   unknown
 >;
 const newMeta: Record<string, unknown> = {
-  last_updated: new Date().toISOString(),
+  last_updated: generatedAt.toISOString(),
   readme: "https://github.com/yc-oss/api",
   ...meta,
 };
 
-const hasChanges = Object.keys(newMeta).some((key) => {
+const hasMetaChanges = Object.keys(newMeta).some((key) => {
   return (
     key !== "last_updated" &&
     JSON.stringify(newMeta[key]) !== JSON.stringify(existingMeta[key])
   );
 });
-if (hasChanges) {
-  console.log("Meta has changed, updating meta.json");
+const shouldUpdateGeneratedMetadata = hasMetaChanges ||
+  hasCompanyChanges(changeSet);
+if (shouldUpdateGeneratedMetadata) {
+  console.log("API data has changed, updating meta.json");
   await Deno.writeTextFile(
     "meta.json",
     JSON.stringify(newMeta, null, 2) + "\n",
@@ -402,7 +439,7 @@ if (hasChanges) {
   text += `\n## ℹ️ Metadata\n\n`;
   text += `API endpoint: https://yc-oss.github.io/api/meta.json\n\n`;
   text += `- Last updated: ${
-    new Date().toLocaleString("en-US", {
+    generatedAt.toLocaleString("en-US", {
       dateStyle: "long",
       timeStyle: "short",
     })
@@ -422,6 +459,13 @@ if (hasChanges) {
     } | https://yc-oss.github.io/api/companies/${slug}.json |\n`;
   }
 
+  text +=
+    `\n### 🔄 Company changes\n\n| Change log | API endpoint |\n| ---------- | ------------ |\n`;
+  text +=
+    `| Latest company changes (JSON) | https://yc-oss.github.io/api/changes/latest.json |\n`;
+  text +=
+    `| Latest company changes (Markdown) | https://yc-oss.github.io/api/changes/latest.md |\n`;
+
   text +=
     `\n### 🎓 Batches\n\n<details>\n<summary>Companies per batch</summary>\n\n| Batch | Count | API endpoint |\n| ---- | ---- | ------------ |\n`;
   for (const slug of Object.keys(meta.batches)) {
@@ -456,6 +500,6 @@ if (hasChanges) {
     text,
   );
   await Deno.writeTextFile("README.md", newReadme);
-} else console.log("Meta has not changed");
+} else console.log("API data has not changed");
 
 export {};
diff --git a/industries/b2b.json b/industries/b2b.json
index 11c239da0..de175f8a9 100644
--- a/industries/b2b.json
+++ b/industries/b2b.json
@@ -13677,6 +13677,51 @@
     "url": "https://www.ycombinator.com/companies/kickpay",
     "api": "https://yc-oss.github.io/api/batches/winter-2015/kickpay.json"
   },
+  {
+    "id": 774,
+    "name": "Platzi",
+    "slug": "platzi",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
+    "website": "https://platzi.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
+    "launched_at": 1416220798,
+    "tags": [
+      "AI-Enhanced Learning",
+      "Education",
+      "eLearning",
+      "Sales Enablement",
+      "HR Tech"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Winter 2015",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Productivity"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": true,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/platzi",
+    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
+  },
   {
     "id": 775,
     "name": "Omniref",
@@ -85681,14 +85726,14 @@
     "all_locations": "Berlin, Berlin, Germany",
     "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
     "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
+    "team_size": 19,
     "industry": "B2B",
     "subindustry": "B2B -> Engineering, Product and Design",
     "launched_at": 1687103873,
     "tags": [
+      "Artificial Intelligence",
       "Developer Tools",
-      "Open Source",
-      "AI"
+      "Open Source"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -85706,7 +85751,7 @@
       "Remote",
       "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": false,
     "app_answers": null,
@@ -112606,16 +112651,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -130266,6 +130311,47 @@
     "url": "https://www.ycombinator.com/companies/rex-inc",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/rex-inc.json"
   },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+  },
   {
     "id": 32165,
     "name": "Rote",
@@ -130602,7 +130688,7 @@
     "name": "Cerenovus",
     "slug": "cerenovus",
     "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png",
     "website": "https://www.cerenovus.ai/",
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
@@ -130612,7 +130698,7 @@
     "subindustry": "B2B",
     "launched_at": 1780900630,
     "tags": [
-      "AI"
+      "Artificial Intelligence"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -130920,6 +131006,47 @@
     "url": "https://www.ycombinator.com/companies/coasty",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/coasty.json"
   },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+  },
   {
     "id": 33806,
     "name": "Experiential Labs",
diff --git a/industries/education.json b/industries/education.json
index 17bee4bbf..c5b53372a 100644
--- a/industries/education.json
+++ b/industries/education.json
@@ -690,58 +690,6 @@
     "url": "https://www.ycombinator.com/companies/codecombat",
     "api": "https://yc-oss.github.io/api/batches/winter-2014/codecombat.json"
   },
-  {
-    "id": 774,
-    "name": "Platzi",
-    "slug": "platzi",
-    "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
-    "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
-    "launched_at": 1416220798,
-    "tags": [
-      "Education",
-      "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": false,
-    "nonprofit": false,
-    "batch": "Winter 2015",
-    "status": "Active",
-    "industries": [
-      "Education"
-    ],
-    "regions": [
-      "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
-      "America / Canada",
-      "Latin America",
-      "Europe",
-      "Remote",
-      "Fully Remote"
-    ],
-    "stage": "Growth",
-    "app_video_public": false,
-    "demo_day_video_public": true,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/platzi",
-    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
-  },
   {
     "id": 914,
     "name": "GiveCampus",
diff --git a/industries/engineering-product-and-design.json b/industries/engineering-product-and-design.json
index dde25f917..16433e525 100644
--- a/industries/engineering-product-and-design.json
+++ b/industries/engineering-product-and-design.json
@@ -15913,14 +15913,14 @@
     "all_locations": "Berlin, Berlin, Germany",
     "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
     "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
+    "team_size": 19,
     "industry": "B2B",
     "subindustry": "B2B -> Engineering, Product and Design",
     "launched_at": 1687103873,
     "tags": [
+      "Artificial Intelligence",
       "Developer Tools",
-      "Open Source",
-      "AI"
+      "Open Source"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -15938,7 +15938,7 @@
       "Remote",
       "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": false,
     "app_answers": null,
@@ -26008,6 +26008,47 @@
     "url": "https://www.ycombinator.com/companies/insforge",
     "api": "https://yc-oss.github.io/api/batches/spring-2026/insforge.json"
   },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+  },
   {
     "id": 33838,
     "name": "Simantic",
diff --git a/industries/healthcare-it.json b/industries/healthcare-it.json
index 1afc66174..ea5d0e4a2 100644
--- a/industries/healthcare-it.json
+++ b/industries/healthcare-it.json
@@ -5141,16 +5141,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/industries/healthcare.json b/industries/healthcare.json
index edd0907ad..dafbf53bf 100644
--- a/industries/healthcare.json
+++ b/industries/healthcare.json
@@ -25544,16 +25544,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/industries/infrastructure.json b/industries/infrastructure.json
index a2bfc7b2b..3b98ca379 100644
--- a/industries/infrastructure.json
+++ b/industries/infrastructure.json
@@ -12974,6 +12974,47 @@
     "url": "https://www.ycombinator.com/companies/mireye",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/mireye.json"
   },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
+  },
   {
     "id": 33806,
     "name": "Experiential Labs",
diff --git a/industries/productivity.json b/industries/productivity.json
index 316cbc12a..2d54d6013 100644
--- a/industries/productivity.json
+++ b/industries/productivity.json
@@ -1991,6 +1991,51 @@
     "url": "https://www.ycombinator.com/companies/worklife",
     "api": "https://yc-oss.github.io/api/batches/winter-2015/worklife.json"
   },
+  {
+    "id": 774,
+    "name": "Platzi",
+    "slug": "platzi",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
+    "website": "https://platzi.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
+    "launched_at": 1416220798,
+    "tags": [
+      "AI-Enhanced Learning",
+      "Education",
+      "eLearning",
+      "Sales Enablement",
+      "HR Tech"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Winter 2015",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Productivity"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": true,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/platzi",
+    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
+  },
   {
     "id": 784,
     "name": "Shift Messenger",
diff --git a/meta.json b/meta.json
index c03c7d3f6..a5bc783ca 100644
--- a/meta.json
+++ b/meta.json
@@ -1,10 +1,10 @@
 {
-  "last_updated": "2026-06-30T02:31:43.421Z",
+  "last_updated": "2026-06-30T08:35:34.099Z",
   "readme": "https://github.com/yc-oss/api",
   "companies": {
     "all": {
       "name": "All launched companies",
-      "count": 5994,
+      "count": 5996,
       "api": "https://yc-oss.github.io/api/companies/all.json"
     },
     "top": {
@@ -81,7 +81,7 @@
     },
     "ai": {
       "name": "AI",
-      "count": 810,
+      "count": 808,
       "api": "https://yc-oss.github.io/api/tags/ai.json"
     },
     "ai-assistant": {
@@ -91,7 +91,7 @@
     },
     "ai-enhanced-learning": {
       "name": "AI-Enhanced Learning",
-      "count": 45,
+      "count": 46,
       "api": "https://yc-oss.github.io/api/tags/ai-enhanced-learning.json"
     },
     "ai-powered-drug-discovery": {
@@ -171,7 +171,7 @@
     },
     "artificial-intelligence": {
       "name": "Artificial Intelligence",
-      "count": 886,
+      "count": 888,
       "api": "https://yc-oss.github.io/api/tags/artificial-intelligence.json"
     },
     "assistive-tech": {
@@ -211,7 +211,7 @@
     },
     "b2b": {
       "name": "B2B",
-      "count": 1071,
+      "count": 1072,
       "api": "https://yc-oss.github.io/api/tags/b2b.json"
     },
     "banking-as-a-service": {
@@ -561,7 +561,7 @@
     },
     "deep-learning": {
       "name": "Deep Learning",
-      "count": 39,
+      "count": 40,
       "api": "https://yc-oss.github.io/api/tags/deep-learning.json"
     },
     "deepfake-detection": {
@@ -601,7 +601,7 @@
     },
     "developer-tools": {
       "name": "Developer Tools",
-      "count": 520,
+      "count": 521,
       "api": "https://yc-oss.github.io/api/tags/developer-tools.json"
     },
     "devops": {
@@ -706,7 +706,7 @@
     },
     "energy": {
       "name": "Energy",
-      "count": 41,
+      "count": 42,
       "api": "https://yc-oss.github.io/api/tags/energy.json"
     },
     "energy-storage": {
@@ -1301,7 +1301,7 @@
     },
     "productivity": {
       "name": "Productivity",
-      "count": 162,
+      "count": 163,
       "api": "https://yc-oss.github.io/api/tags/productivity.json"
     },
     "proptech": {
@@ -1421,7 +1421,7 @@
     },
     "saas": {
       "name": "SaaS",
-      "count": 1077,
+      "count": 1078,
       "api": "https://yc-oss.github.io/api/tags/saas.json"
     },
     "sales": {
@@ -1431,7 +1431,7 @@
     },
     "sales-enablement": {
       "name": "Sales Enablement",
-      "count": 38,
+      "count": 39,
       "api": "https://yc-oss.github.io/api/tags/sales-enablement.json"
     },
     "satellites": {
@@ -1556,7 +1556,7 @@
     },
     "subscriptions": {
       "name": "Subscriptions",
-      "count": 38,
+      "count": 37,
       "api": "https://yc-oss.github.io/api/tags/subscriptions.json"
     },
     "supply-chain": {
@@ -1666,7 +1666,7 @@
     },
     "video": {
       "name": "Video",
-      "count": 87,
+      "count": 86,
       "api": "https://yc-oss.github.io/api/tags/video.json"
     },
     "virtual-reality": {
@@ -1738,7 +1738,7 @@
     },
     "b2b": {
       "name": "B2B",
-      "count": 3064,
+      "count": 3067,
       "api": "https://yc-oss.github.io/api/industries/b2b.json"
     },
     "banking-and-exchange": {
@@ -1808,7 +1808,7 @@
     },
     "education": {
       "name": "Education",
-      "count": 126,
+      "count": 125,
       "api": "https://yc-oss.github.io/api/industries/education.json"
     },
     "energy": {
@@ -1818,7 +1818,7 @@
     },
     "engineering-product-and-design": {
       "name": "Engineering, Product and Design",
-      "count": 606,
+      "count": 607,
       "api": "https://yc-oss.github.io/api/industries/engineering-product-and-design.json"
     },
     "finance-and-accounting": {
@@ -1888,7 +1888,7 @@
     },
     "infrastructure": {
       "name": "Infrastructure",
-      "count": 305,
+      "count": 306,
       "api": "https://yc-oss.github.io/api/industries/infrastructure.json"
     },
     "insurance": {
@@ -1938,7 +1938,7 @@
     },
     "productivity": {
       "name": "Productivity",
-      "count": 227,
+      "count": 228,
       "api": "https://yc-oss.github.io/api/industries/productivity.json"
     },
     "real-estate-and-construction": {
@@ -2195,7 +2195,7 @@
     },
     "summer-2026": {
       "name": "Summer 2026",
-      "count": 49,
+      "count": 51,
       "api": "https://yc-oss.github.io/api/batches/summer-2026.json"
     },
     "winter-2026": {
diff --git a/tags/ai-enhanced-learning.json b/tags/ai-enhanced-learning.json
index 1b1502f58..dc4006ffb 100644
--- a/tags/ai-enhanced-learning.json
+++ b/tags/ai-enhanced-learning.json
@@ -42,6 +42,51 @@
     "url": "https://www.ycombinator.com/companies/scribd",
     "api": "https://yc-oss.github.io/api/batches/summer-2006/scribd.json"
   },
+  {
+    "id": 774,
+    "name": "Platzi",
+    "slug": "platzi",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
+    "website": "https://platzi.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
+    "launched_at": 1416220798,
+    "tags": [
+      "AI-Enhanced Learning",
+      "Education",
+      "eLearning",
+      "Sales Enablement",
+      "HR Tech"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Winter 2015",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Productivity"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": true,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/platzi",
+    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
+  },
   {
     "id": 977,
     "name": "Deepgram",
diff --git a/tags/ai.json b/tags/ai.json
index 8b8c846d6..0512f51c2 100644
--- a/tags/ai.json
+++ b/tags/ai.json
@@ -17410,49 +17410,6 @@
     "url": "https://www.ycombinator.com/companies/fiber-ai",
     "api": "https://yc-oss.github.io/api/batches/summer-2023/fiber-ai.json"
   },
-  {
-    "id": 29079,
-    "name": "Tiptap",
-    "slug": "tiptap",
-    "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png",
-    "website": "https://tiptap.dev/",
-    "all_locations": "Berlin, Berlin, Germany",
-    "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
-    "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
-    "industry": "B2B",
-    "subindustry": "B2B -> Engineering, Product and Design",
-    "launched_at": 1687103873,
-    "tags": [
-      "Developer Tools",
-      "Open Source",
-      "AI"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": false,
-    "nonprofit": false,
-    "batch": "Summer 2023",
-    "status": "Active",
-    "industries": [
-      "B2B",
-      "Engineering, Product and Design"
-    ],
-    "regions": [
-      "Germany",
-      "Europe",
-      "Remote",
-      "Partly Remote"
-    ],
-    "stage": "Growth",
-    "app_video_public": false,
-    "demo_day_video_public": false,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/tiptap",
-    "api": "https://yc-oss.github.io/api/batches/summer-2023/tiptap.json"
-  },
   {
     "id": 29091,
     "name": "Webhound",
@@ -25302,51 +25259,6 @@
     "url": "https://www.ycombinator.com/companies/pathpilot",
     "api": "https://yc-oss.github.io/api/batches/summer-2024/pathpilot.json"
   },
-  {
-    "id": 29987,
-    "name": "Syntra",
-    "slug": "syntra",
-    "former_names": [
-      "Lightning Medical"
-    ],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
-    "website": "https://www.syntra.com",
-    "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
-    "one_liner": "Medical chart intelligence",
-    "team_size": 10,
-    "industry": "Healthcare",
-    "subindustry": "Healthcare -> Healthcare IT",
-    "launched_at": 1723733582,
-    "tags": [
-      "Big Data",
-      "Healthcare IT",
-      "AI"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": true,
-    "nonprofit": false,
-    "batch": "Summer 2024",
-    "status": "Active",
-    "industries": [
-      "Healthcare",
-      "Healthcare IT"
-    ],
-    "regions": [
-      "United States of America",
-      "America / Canada",
-      "Remote",
-      "Partly Remote"
-    ],
-    "stage": "Early",
-    "app_video_public": false,
-    "demo_day_video_public": false,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/syntra",
-    "api": "https://yc-oss.github.io/api/batches/summer-2024/syntra.json"
-  },
   {
     "id": 29988,
     "name": "Delineate",
@@ -30578,6 +30490,53 @@
     "url": "https://www.ycombinator.com/companies/lanesurf",
     "api": "https://yc-oss.github.io/api/batches/summer-2025/lanesurf.json"
   },
+  {
+    "id": 30622,
+    "name": "Liva AI",
+    "slug": "liva-ai",
+    "former_names": [
+      "Symbia",
+      "Liva"
+    ],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d577992606b8392c9619b8dffacec074b48668d.png",
+    "website": "https://www.theliva.ai",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
+    "one_liner": "Audio & Video Data",
+    "team_size": 4,
+    "industry": "B2B",
+    "subindustry": "B2B",
+    "launched_at": 1753401226,
+    "tags": [
+      "Marketplace",
+      "B2B",
+      "Data Labeling",
+      "Big Data",
+      "AI"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": true,
+    "nonprofit": false,
+    "batch": "Summer 2025",
+    "status": "Active",
+    "industries": [
+      "B2B"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/liva-ai",
+    "api": "https://yc-oss.github.io/api/batches/summer-2025/liva-ai.json"
+  },
   {
     "id": 30623,
     "name": "Playgent",
@@ -35696,44 +35655,6 @@
     "url": "https://www.ycombinator.com/companies/bylaw",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/bylaw.json"
   },
-  {
-    "id": 32520,
-    "name": "Cerenovus",
-    "slug": "cerenovus",
-    "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c4165de8ba93afc0c1ee3db1680da0127cca7e08.png",
-    "website": "https://www.cerenovus.ai/",
-    "all_locations": "San Francisco, CA, USA",
-    "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
-    "one_liner": "Aggregate company knowledge and make inferences",
-    "team_size": 3,
-    "industry": "B2B",
-    "subindustry": "B2B",
-    "launched_at": 1780900630,
-    "tags": [
-      "AI"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": false,
-    "nonprofit": false,
-    "batch": "Summer 2026",
-    "status": "Active",
-    "industries": [
-      "B2B"
-    ],
-    "regions": [
-      "United States of America",
-      "America / Canada"
-    ],
-    "stage": "Early",
-    "app_video_public": true,
-    "demo_day_video_public": false,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/cerenovus",
-    "api": "https://yc-oss.github.io/api/batches/summer-2026/cerenovus.json"
-  },
   {
     "id": 32526,
     "name": "Talentpluto",
diff --git a/tags/artificial-intelligence.json b/tags/artificial-intelligence.json
index 6be83d3d9..04e4b3fe1 100644
--- a/tags/artificial-intelligence.json
+++ b/tags/artificial-intelligence.json
@@ -20199,6 +20199,49 @@
     "url": "https://www.ycombinator.com/companies/terracotta-ai",
     "api": "https://yc-oss.github.io/api/batches/summer-2023/terracotta-ai.json"
   },
+  {
+    "id": 29079,
+    "name": "Tiptap",
+    "slug": "tiptap",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ea1ff4314cdf63ee3867e1d262f8d1119847e40.png",
+    "website": "https://tiptap.dev/",
+    "all_locations": "Berlin, Berlin, Germany",
+    "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
+    "one_liner": "The open-source document editor for humans and AI agents.",
+    "team_size": 19,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1687103873,
+    "tags": [
+      "Artificial Intelligence",
+      "Developer Tools",
+      "Open Source"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2023",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "Germany",
+      "Europe",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/tiptap",
+    "api": "https://yc-oss.github.io/api/batches/summer-2023/tiptap.json"
+  },
   {
     "id": 29081,
     "name": "Minded",
@@ -28709,6 +28752,51 @@
     "url": "https://www.ycombinator.com/companies/affil-ai",
     "api": "https://yc-oss.github.io/api/batches/summer-2024/affil-ai.json"
   },
+  {
+    "id": 29987,
+    "name": "Syntra",
+    "slug": "syntra",
+    "former_names": [
+      "Lightning Medical"
+    ],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
+    "website": "https://www.syntra.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
+    "one_liner": "Medical chart intelligence",
+    "team_size": 10,
+    "industry": "Healthcare",
+    "subindustry": "Healthcare -> Healthcare IT",
+    "launched_at": 1723733582,
+    "tags": [
+      "Artificial Intelligence",
+      "Big Data",
+      "Healthcare IT"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": true,
+    "nonprofit": false,
+    "batch": "Summer 2024",
+    "status": "Active",
+    "industries": [
+      "Healthcare",
+      "Healthcare IT"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/syntra",
+    "api": "https://yc-oss.github.io/api/batches/summer-2024/syntra.json"
+  },
   {
     "id": 29990,
     "name": "DreamRP",
@@ -34296,53 +34384,6 @@
     "url": "https://www.ycombinator.com/companies/lanesurf",
     "api": "https://yc-oss.github.io/api/batches/summer-2025/lanesurf.json"
   },
-  {
-    "id": 30622,
-    "name": "Liva AI",
-    "slug": "liva-ai",
-    "former_names": [
-      "Symbia",
-      "Liva"
-    ],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d577992606b8392c9619b8dffacec074b48668d.png",
-    "website": "https://www.theliva.ai",
-    "all_locations": "San Francisco, CA, USA",
-    "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
-    "one_liner": "Audio & Video Data",
-    "team_size": 2,
-    "industry": "B2B",
-    "subindustry": "B2B",
-    "launched_at": 1753401226,
-    "tags": [
-      "Artificial Intelligence",
-      "Marketplace",
-      "B2B",
-      "Data Labeling",
-      "Big Data"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": true,
-    "nonprofit": false,
-    "batch": "Summer 2025",
-    "status": "Active",
-    "industries": [
-      "B2B"
-    ],
-    "regions": [
-      "United States of America",
-      "America / Canada",
-      "Remote",
-      "Partly Remote"
-    ],
-    "stage": "Early",
-    "app_video_public": false,
-    "demo_day_video_public": false,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/liva-ai",
-    "api": "https://yc-oss.github.io/api/batches/summer-2025/liva-ai.json"
-  },
   {
     "id": 30628,
     "name": "Datafruit",
@@ -39065,6 +39106,44 @@
     "url": "https://www.ycombinator.com/companies/touchmark",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/touchmark.json"
   },
+  {
+    "id": 32520,
+    "name": "Cerenovus",
+    "slug": "cerenovus",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png",
+    "website": "https://www.cerenovus.ai/",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.",
+    "one_liner": "Aggregate company knowledge and make inferences",
+    "team_size": 3,
+    "industry": "B2B",
+    "subindustry": "B2B",
+    "launched_at": 1780900630,
+    "tags": [
+      "Artificial Intelligence"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": true,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/cerenovus",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/cerenovus.json"
+  },
   {
     "id": 32617,
     "name": "Whitespace",
diff --git a/tags/b2b.json b/tags/b2b.json
index be8dc0fc6..49bb7f7c2 100644
--- a/tags/b2b.json
+++ b/tags/b2b.json
@@ -43965,16 +43965,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -47724,5 +47724,46 @@
     "question_answers": false,
     "url": "https://www.ycombinator.com/companies/lato",
     "api": "https://yc-oss.github.io/api/batches/summer-2026/lato.json"
+  },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
   }
 ]
diff --git a/tags/big-data.json b/tags/big-data.json
index a41d9b351..b00f95fb4 100644
--- a/tags/big-data.json
+++ b/tags/big-data.json
@@ -808,16 +808,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -994,16 +994,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/tags/data-labeling.json b/tags/data-labeling.json
index 9e683a2a6..d33674002 100644
--- a/tags/data-labeling.json
+++ b/tags/data-labeling.json
@@ -540,16 +540,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/tags/deep-learning.json b/tags/deep-learning.json
index 8737926f5..2966c7acf 100644
--- a/tags/deep-learning.json
+++ b/tags/deep-learning.json
@@ -1736,5 +1736,46 @@
     "question_answers": false,
     "url": "https://www.ycombinator.com/companies/expanse",
     "api": "https://yc-oss.github.io/api/batches/spring-2026/expanse.json"
+  },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
   }
 ]
diff --git a/tags/developer-tools.json b/tags/developer-tools.json
index 95665032a..22f8a503f 100644
--- a/tags/developer-tools.json
+++ b/tags/developer-tools.json
@@ -15423,14 +15423,14 @@
     "all_locations": "Berlin, Berlin, Germany",
     "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
     "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
+    "team_size": 19,
     "industry": "B2B",
     "subindustry": "B2B -> Engineering, Product and Design",
     "launched_at": 1687103873,
     "tags": [
+      "Artificial Intelligence",
       "Developer Tools",
-      "Open Source",
-      "AI"
+      "Open Source"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -15448,7 +15448,7 @@
       "Remote",
       "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": false,
     "app_answers": null,
@@ -22961,6 +22961,47 @@
     "url": "https://www.ycombinator.com/companies/zenbu-2",
     "api": "https://yc-oss.github.io/api/batches/spring-2026/zenbu-2.json"
   },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+  },
   {
     "id": 32230,
     "name": "Codag",
diff --git a/tags/education.json b/tags/education.json
index fa1889426..9dab517b0 100644
--- a/tags/education.json
+++ b/tags/education.json
@@ -1109,19 +1109,19 @@
     "former_names": [],
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
     "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
     "launched_at": 1416220798,
     "tags": [
+      "AI-Enhanced Learning",
       "Education",
       "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
+      "Sales Enablement",
+      "HR Tech"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -1130,23 +1130,16 @@
     "batch": "Winter 2015",
     "status": "Active",
     "industries": [
-      "Education"
+      "B2B",
+      "Productivity"
     ],
     "regions": [
       "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
       "America / Canada",
-      "Latin America",
-      "Europe",
       "Remote",
-      "Fully Remote"
+      "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": true,
     "app_answers": null,
diff --git a/tags/elearning.json b/tags/elearning.json
index 119a54078..364e34443 100644
--- a/tags/elearning.json
+++ b/tags/elearning.json
@@ -129,19 +129,19 @@
     "former_names": [],
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
     "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
     "launched_at": 1416220798,
     "tags": [
+      "AI-Enhanced Learning",
       "Education",
       "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
+      "Sales Enablement",
+      "HR Tech"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -150,23 +150,16 @@
     "batch": "Winter 2015",
     "status": "Active",
     "industries": [
-      "Education"
+      "B2B",
+      "Productivity"
     ],
     "regions": [
       "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
       "America / Canada",
-      "Latin America",
-      "Europe",
       "Remote",
-      "Fully Remote"
+      "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": true,
     "app_answers": null,
diff --git a/tags/energy.json b/tags/energy.json
index 3e8016d1f..158fc377d 100644
--- a/tags/energy.json
+++ b/tags/energy.json
@@ -1793,5 +1793,46 @@
     "question_answers": false,
     "url": "https://www.ycombinator.com/companies/voxel-energy",
     "api": "https://yc-oss.github.io/api/batches/winter-2026/voxel-energy.json"
+  },
+  {
+    "id": 33805,
+    "name": "Edviro",
+    "slug": "edviro",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98362e61e1649e1ea6df53e5da74fe5c0a88a97e.png",
+    "website": "https://edviroenergy.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Edviro helps facilities managers at large buildings save on their energy bills. Facilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager.  Once the changes occur, we create a comprehensive M&V report to ensure savings show up on the bill. \r\n\r\nOur tools also allow institutions to maintain detailed service history & equipment logs, and perform maintenance with AR.  ",
+    "one_liner": "Energy world models that fix energy waste before it becomes expensive.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Infrastructure",
+    "launched_at": 1782807553,
+    "tags": [
+      "Deep Learning",
+      "B2B",
+      "Energy"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Infrastructure"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/edviro",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/edviro.json"
   }
 ]
diff --git a/tags/healthcare-it.json b/tags/healthcare-it.json
index c320235cd..70b0297c5 100644
--- a/tags/healthcare-it.json
+++ b/tags/healthcare-it.json
@@ -1068,16 +1068,16 @@
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
     "website": "https://www.syntra.com",
     "all_locations": "San Francisco, CA, USA",
-    "long_description": "Syntra is a real-time AI audit platform for healthcare revenue, compliance, and care quality. Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.\r\n\r\nSyntra has already processed over 1M patient encounters, supports hundreds of practice locations nationwide, and ensures $100Ms in medical claim collections annually.\r\n",
+    "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.",
     "one_liner": "Medical chart intelligence",
     "team_size": 10,
     "industry": "Healthcare",
     "subindustry": "Healthcare -> Healthcare IT",
     "launched_at": 1723733582,
     "tags": [
+      "Artificial Intelligence",
       "Big Data",
-      "Healthcare IT",
-      "AI"
+      "Healthcare IT"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/tags/hr-tech.json b/tags/hr-tech.json
index d3b49dca8..0fdbfc4de 100644
--- a/tags/hr-tech.json
+++ b/tags/hr-tech.json
@@ -260,19 +260,19 @@
     "former_names": [],
     "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
     "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
     "launched_at": 1416220798,
     "tags": [
+      "AI-Enhanced Learning",
       "Education",
       "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
+      "Sales Enablement",
+      "HR Tech"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -281,23 +281,16 @@
     "batch": "Winter 2015",
     "status": "Active",
     "industries": [
-      "Education"
+      "B2B",
+      "Productivity"
     ],
     "regions": [
       "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
       "America / Canada",
-      "Latin America",
-      "Europe",
       "Remote",
-      "Fully Remote"
+      "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": true,
     "app_answers": null,
diff --git a/tags/marketplace.json b/tags/marketplace.json
index b96900fe9..f2758c699 100644
--- a/tags/marketplace.json
+++ b/tags/marketplace.json
@@ -12725,16 +12725,16 @@
     "all_locations": "San Francisco, CA, USA",
     "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.",
     "one_liner": "Audio & Video Data",
-    "team_size": 2,
+    "team_size": 4,
     "industry": "B2B",
     "subindustry": "B2B",
     "launched_at": 1753401226,
     "tags": [
-      "Artificial Intelligence",
       "Marketplace",
       "B2B",
       "Data Labeling",
-      "Big Data"
+      "Big Data",
+      "AI"
     ],
     "tags_highlighted": [],
     "top_company": false,
diff --git a/tags/open-source.json b/tags/open-source.json
index 53a71367d..94f7fa778 100644
--- a/tags/open-source.json
+++ b/tags/open-source.json
@@ -5305,14 +5305,14 @@
     "all_locations": "Berlin, Berlin, Germany",
     "long_description": "Tiptap is a suite of open source content editing and real-time collaboration tools for developers building apps like Notion or Google Docs. It’s used by thousands of businesses worldwide, including LinkedIn, GitLab, Axios, and Anthropic.",
     "one_liner": "The open-source document editor for humans and AI agents.",
-    "team_size": 18,
+    "team_size": 19,
     "industry": "B2B",
     "subindustry": "B2B -> Engineering, Product and Design",
     "launched_at": 1687103873,
     "tags": [
+      "Artificial Intelligence",
       "Developer Tools",
-      "Open Source",
-      "AI"
+      "Open Source"
     ],
     "tags_highlighted": [],
     "top_company": false,
@@ -5330,7 +5330,7 @@
       "Remote",
       "Partly Remote"
     ],
-    "stage": "Growth",
+    "stage": "Early",
     "app_video_public": false,
     "demo_day_video_public": false,
     "app_answers": null,
diff --git a/tags/productivity.json b/tags/productivity.json
index 495678013..6675589fb 100644
--- a/tags/productivity.json
+++ b/tags/productivity.json
@@ -7149,5 +7149,46 @@
     "question_answers": false,
     "url": "https://www.ycombinator.com/companies/supafax",
     "api": "https://yc-oss.github.io/api/batches/winter-2026/supafax.json"
+  },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
   }
 ]
diff --git a/tags/saas.json b/tags/saas.json
index 2e8369283..098165ac9 100644
--- a/tags/saas.json
+++ b/tags/saas.json
@@ -47575,6 +47575,47 @@
     "url": "https://www.ycombinator.com/companies/infera",
     "api": "https://yc-oss.github.io/api/batches/spring-2026/infera.json"
   },
+  {
+    "id": 32164,
+    "name": "Prized",
+    "slug": "prized",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7162dc10af43dc1c38075eec773f7958383384d2.png",
+    "website": "https://prized.dev",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Prized lets non-engineers build, deploy, and share secure internal tools with AI, no engineering required. You don't need to know where the data lives, what APIs to use, or which connectors you need. Just describe what you want (a customer lookup, a dashboard, an approval flow), and Prized builds the tool on top of the right company data inside a governed boundary.\r\n\r\nThe people who feel the pain of missing internal tools most are non-engineers. They understand the workflow best but are blocked by the software layer, so they wait on engineering, duct-tape spreadsheets together, or increasingly rip company data into Claude Code and Cursor with no thought to permissions, sharing, or governance.\r\n\r\nPrized makes security the default, enforced in the infrastructure rather than left to whoever built the tool. Each tool gets access only to the tables and integrations it was explicitly granted, credentials are workspace-scoped so tools can't cross org boundaries, and outbound calls go through a controlled layer. \r\n\r\nAs an employee builds and shares, a teammate forks it and re-points it at their own data, and over time the company builds up a library of governed tools it actually owns.\r\n\r\nHudson was founding engineer at Gander (F24, acquired by Archer), then full-stack at Suno. Marinos studied CS and ME at Stanford and was on the same Gander team.",
+    "one_liner": "Internal tools, built by the people who use them.",
+    "team_size": 2,
+    "industry": "B2B",
+    "subindustry": "B2B -> Engineering, Product and Design",
+    "launched_at": 1782800618,
+    "tags": [
+      "Developer Tools",
+      "SaaS",
+      "Productivity"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Summer 2026",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Engineering, Product and Design"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": false,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/prized",
+    "api": "https://yc-oss.github.io/api/batches/summer-2026/prized.json"
+  },
   {
     "id": 32223,
     "name": "Truffle",
diff --git a/tags/sales-enablement.json b/tags/sales-enablement.json
index aa530879f..cddf505a9 100644
--- a/tags/sales-enablement.json
+++ b/tags/sales-enablement.json
@@ -38,6 +38,51 @@
     "url": "https://www.ycombinator.com/companies/stacklead",
     "api": "https://yc-oss.github.io/api/batches/winter-2014/stacklead.json"
   },
+  {
+    "id": 774,
+    "name": "Platzi",
+    "slug": "platzi",
+    "former_names": [],
+    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
+    "website": "https://platzi.com",
+    "all_locations": "San Francisco, CA, USA",
+    "long_description": "Platzi turns the scattered knowledge inside a company into training that builds expert teams, automatically. It captures how an organization's top performers sell, build, and operate, and shapes that into structured training that brings the rest of the workforce to their level. The courses are created instantly from each company's own knowledge, self-updating as it changes. It's training that never goes stale, and that no one has to maintain. And just as pilots learn to fly in a simulator, Platzi measures mastery in simulated work scenarios, like a sales rep handling a hard objection or a frontline worker holding the line on safety while a manager pushes to cut corners. The test is the work, not course completion.",
+    "one_liner": "Turning company knowledge into expert teams",
+    "team_size": 123,
+    "industry": "B2B",
+    "subindustry": "B2B -> Productivity",
+    "launched_at": 1416220798,
+    "tags": [
+      "AI-Enhanced Learning",
+      "Education",
+      "eLearning",
+      "Sales Enablement",
+      "HR Tech"
+    ],
+    "tags_highlighted": [],
+    "top_company": false,
+    "isHiring": false,
+    "nonprofit": false,
+    "batch": "Winter 2015",
+    "status": "Active",
+    "industries": [
+      "B2B",
+      "Productivity"
+    ],
+    "regions": [
+      "United States of America",
+      "America / Canada",
+      "Remote",
+      "Partly Remote"
+    ],
+    "stage": "Early",
+    "app_video_public": false,
+    "demo_day_video_public": true,
+    "app_answers": null,
+    "question_answers": false,
+    "url": "https://www.ycombinator.com/companies/platzi",
+    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
+  },
   {
     "id": 1187,
     "name": "WorkRamp",
diff --git a/tags/subscriptions.json b/tags/subscriptions.json
index b8cc31d8d..3958c842d 100644
--- a/tags/subscriptions.json
+++ b/tags/subscriptions.json
@@ -119,58 +119,6 @@
     "url": "https://www.ycombinator.com/companies/billforward",
     "api": "https://yc-oss.github.io/api/batches/summer-2014/billforward.json"
   },
-  {
-    "id": 774,
-    "name": "Platzi",
-    "slug": "platzi",
-    "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
-    "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
-    "launched_at": 1416220798,
-    "tags": [
-      "Education",
-      "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": false,
-    "nonprofit": false,
-    "batch": "Winter 2015",
-    "status": "Active",
-    "industries": [
-      "Education"
-    ],
-    "regions": [
-      "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
-      "America / Canada",
-      "Latin America",
-      "Europe",
-      "Remote",
-      "Fully Remote"
-    ],
-    "stage": "Growth",
-    "app_video_public": false,
-    "demo_day_video_public": true,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/platzi",
-    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
-  },
   {
     "id": 1472,
     "name": "Beek",
diff --git a/tags/video.json b/tags/video.json
index 3e3ba5dc4..153e7333e 100644
--- a/tags/video.json
+++ b/tags/video.json
@@ -906,58 +906,6 @@
     "url": "https://www.ycombinator.com/companies/vidpresso",
     "api": "https://yc-oss.github.io/api/batches/winter-2014/vidpresso.json"
   },
-  {
-    "id": 774,
-    "name": "Platzi",
-    "slug": "platzi",
-    "former_names": [],
-    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b54bffd3bd06059fabfb2a7a0351e2e4c1e8e697.png",
-    "website": "https://platzi.com",
-    "all_locations": "San Francisco, CA, USA; Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico; Madrid, Community of Madrid, Spain; Buenos Aires, CABA, Argentina; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru; Remote",
-    "long_description": "Platzi cracked online education. It teaches courses on design, marketing and programming with a 70% completion rate, to over one million students worldwide.\r\n\r\nThe classes include real-time collaboration among students and industry leaders as teachers. It aims to be the professional home for lifelong learning of advanced skills.",
-    "one_liner": "Latin America's School of Technology",
-    "team_size": 300,
-    "industry": "Education",
-    "subindustry": "Education",
-    "launched_at": 1416220798,
-    "tags": [
-      "Education",
-      "eLearning",
-      "Video",
-      "HR Tech",
-      "Subscriptions"
-    ],
-    "tags_highlighted": [],
-    "top_company": false,
-    "isHiring": false,
-    "nonprofit": false,
-    "batch": "Winter 2015",
-    "status": "Active",
-    "industries": [
-      "Education"
-    ],
-    "regions": [
-      "United States of America",
-      "Chile",
-      "Mexico",
-      "Spain",
-      "Argentina",
-      "Colombia",
-      "Peru",
-      "America / Canada",
-      "Latin America",
-      "Europe",
-      "Remote",
-      "Fully Remote"
-    ],
-    "stage": "Growth",
-    "app_video_public": false,
-    "demo_day_video_public": true,
-    "app_answers": null,
-    "question_answers": false,
-    "url": "https://www.ycombinator.com/companies/platzi",
-    "api": "https://yc-oss.github.io/api/batches/winter-2015/platzi.json"
-  },
   {
     "id": 903,
     "name": "Afrostream",