Strength Sync – Open‑Source Fitness Tracker with AI

✨ Overview

Strength Sync is a modern, privacy‑first workout planner and logger. Built with Next.js (App Router) + Prisma + Supabase, it helps athletes and coaches create templates, log sessions, and visualise progress. Upcoming AI‑powered features will generate personalised workouts and insights from your training data.

🏗️ Core Features

• Folders → Workouts → Exercises hierarchy for tidy programming.
• Live logging UI that tracks sets/reps, RIR and rest timers.
• Dashboards & charts for streaks, PRs and volume trends.
• Supabase Auth with social‑login & edge‑session middleware.
• Responsive shadcn/ui design that works great on mobile.
• AI Workout Generator (under development) to suggest evidence‑based templates.

🗺️ Roadmap

• RIR & intensity guidance
• Exercise caching & quick search
• Template marketplace
• Mobile PWA / offline mode
• …see the TODO list in code for more ideas

🧰 Tech Stack

Layer	Tech
Front‑end	Next.js 15, React 18, TypeScript, Tailwind CSS, shadcn/ui, Lucide Icons
State	React Server Components + Zustand
Charts	Recharts
Auth & Storage	Supabase JS SDK 2 + Postgres
ORM	Prisma 5 (PostgreSQL)
Utility	Zod, nanoid, date‑fns

Scripts are defined in package.json (e.g. pnpm dev, pnpm db:generate).

🖥️ Local Setup

1. Clone the repo and cd into it.

2. Environment vars – copy .env.example to .env and fill in secrets. At minimum set a valid DATABASE_URL.

3. Database – spin up Postgres with Docker via:

   ./start-database.sh

   The script auto‑creates a container called str-sync-postgres.

4. Install dependencies & generate the Prisma client:

   pnpm install
   pnpm db:generate   # runs `prisma migrate dev`

5. Run the dev server:

   pnpm dev

   Visit http://localhost:3000.

Migrations

Prisma migrations live in prisma/migrations/*. During development prisma migrate dev will create/apply new migrations and seed the DB.

🚀 Deployment

• Vercel – zero‑config; just add env vars.
• Docker Compose – bundle Next.js & Postgres for self‑hosting.

🤖 AI Add‑ons (Planned)

• Generate workout templates from goals & equipment.
• Summarise performance trends into natural‑language insights.
• Recommend progression based on fatigue / RIR data.

🙌 Contributing

1. Fork ➜ create a feature branch ➜ commit using Conventional Commits.
2. Run pnpm lint & pnpm check before opening a PR.
3. Describe behaviour changes and attach screenshots/GIFs when relevant.

📄 License

MIT — see LICENSE for details.

Built with ❤️ by the community to make strength training data‑driven and fun.