GRGWOD tracks CrossFit-style workouts entirely on your device. No subscription, no backend, no data collection. Open source. What it does: - Workout timer: AMRAP, EMOM, For Time, Tabata - Automatic PR detection and tracking - Equipment checklist and warm-up generator - Competition countdown sounds - Ghost racer to pace against your previous best - Partner WOD mode - Voice logging: say "185 for 5" hands-free - 12-week built-in training program - Achievement badges and monthly recaps

Figr AI: UX Agent for Product Teams — Learns your product. Thinks through UX

Learns your product. Thinks through UX

GRGWOD is a workout tracker for CrossFit-style training. Runs entirely in the browser with no backend. All data lives in localStorage. Live: https://garage-wod.vercel.app Source: https://github.com/tribett/garag... I built it because fitness apps either don't understand CrossFit programming (AMRAPs, EMOMs, rounds-for-time) or lock basic features behind subscriptions. Technical details: - React 19 + TypeScript strict + Vite 7 - Zero runtime deps beyond React/React Router - 605 tests (Vitest + RTL), strict TDD - PWA with Workbox, fully offline - Web Audio API for procedural competition sounds (no audio files) - Web Speech API for hands-free voice logging - Docker support for self-hosting It has a workout timer (5 modes), automatic PR detection, equipment checklist, warm-up generator, difficulty predictor, plate calculator, ghost racer, partner WOD mode, achievements, and monthly/yearly recaps. Everything runs client-side. No telemetry, no analytics, no accounts. MIT licensed.

Figr AI: UX Agent for Product Teams — Learns your product. Thinks through UX

Learns your product. Thinks through UX

GRGWOD

Open source, offline workout tracker for CrossFit athletes.

Open source, offline workout tracker for CrossFit athletes.