Startup metrics and frameworks for Claude Code. Turn jargon into analysis using YOUR actual numbers.
10 slash commands that calculate, benchmark, and diagnose:
| Command | What it does |
|---|---|
/startup:pmf |
Product-Market Fit assessment (Sean Ellis test + retention curves) |
/startup:unit |
Unit economics (CAC, LTV, LTV:CAC ratio, payback period) |
/startup:churn |
Churn diagnosis (logo vs revenue, cohorts, recovery playbook) |
/startup:runway |
Burn rate + runway with 3 scenarios + "default alive?" |
/startup:funnel |
Funnel math + bottleneck identification + impact modeling |
/startup:growth |
Growth curve analysis (J-curve, hockey stick, linear, flat) |
/startup:moat |
Competitive moat assessment (7 moat types, 0-35 score) |
/startup:ready |
Fundraise readiness scorecard (0-100) |
/startup:glossary |
Explain any startup term using your real numbers |
/startup:help |
Command reference |
npx skills add ORBWEVA/founder-metricsOr manually copy:
skills/->~/.claude/skills/commands/->~/.claude/commands/
UNIT ECONOMICS
===============
CAC: $110.53
LTV: $343.00
LTV:CAC: 3.1x (healthy — above 3x threshold)
Payback period: 2.3 months (strong — under 12mo)
Contribution: $232.47 per customer
VERDICT: Unit economics work. You can afford to spend more on
acquisition. Consider increasing CAC budget by 30% and monitoring
whether LTV:CAC stays above 3x.
SEAN ELLIS PMF TEST
=====================
Responses: 84
"Very disappointed": 31% ← Below 40% threshold
"Somewhat disappointed": 28%
"Not disappointed": 41%
VERDICT: NOT YET at product-market fit.
SEGMENT ANALYSIS:
Activated users: 47% "very disappointed" ← PMF HERE
Non-activated: 12% "very disappointed"
INSIGHT: You have PMF for activated users. Your problem isn't
the product — it's activation. Fix onboarding before scaling.
RUNWAY PROJECTION
==================
Cash in bank: $380,000
Monthly revenue: $12,400
Monthly expenses: $47,000
Net burn rate: $34,600
RUNWAY: 11.0 months
DEFAULT ALIVE? No (at 12% MoM growth, break-even in 18 months)
SCENARIOS:
Maintain: 11.0 months runway
Cut 20%: 15.8 months runway
Accelerate: 8.2 months runway
VERDICT: URGENT. Start fundraising or cut costs now.
You need 18+ months runway to fundraise comfortably.
MOAT ASSESSMENT
================
Network Effects: 1/5 (single-player tool)
Switching Costs: 3/5 (data + workflow lock-in)
Economies of Scale: 2/5 (some infra advantages)
Brand / Trust: 1/5 (early stage, no brand yet)
Data Advantage: 4/5 (usage data improves recommendations)
Regulatory: 0/5 (no regulatory barriers)
Counter-positioning: 3/5 (incumbents too complex to simplify)
TOTAL: 14/35 (Moderate — some defensibility, needs strengthening)
WEAKEST: Network Effects. Consider adding team/collaboration features.
STRONGEST: Data Advantage. Double down — make the product visibly
smarter with more usage.
VALIDATE: /startup:pmf → /startup:unit → /startup:funnel
SUSTAIN: /startup:churn → /startup:growth → /startup:moat
FUNDRAISE: /startup:ready → (fix gaps) → /startup:ready again
/dt:empathize → understand the user
/startup:pmf → validate the fit
/gtm:positioning → articulate who it's for
/startup:unit → prove the economics
/gtm:pricing → set the right price
/gtm:landing → convert visitors
/startup:funnel → find where they drop off
/startup:churn → find why they leave
/startup:growth → identify your growth curve
/startup:runway → how long you have
/startup:ready → are your numbers fundable?
/startup:moat → can someone copy this?
Install the full founder stack:
npx skills add ORBWEVA/dt-skill # Design thinking
npx skills add ORBWEVA/gtm-skills # Go-to-market + GEO + SEO
npx skills add ORBWEVA/founder-metrics # Startup metricsZero executable code. Pure markdown — structured prompts that guide Claude's thinking. No scripts, no dependencies, no API calls, no shell commands.
skills/startup-metrics/SKILL.md # All 9 stages
commands/startup/*.md # 10 slash commands
package.json # metadata only
MIT