RunningForm

AI-powered running form analysis. Upload a short video, get structured coaching feedback and drill recommendations.

How it works

1. Upload a running video (mobile or desktop)
2. The browser extracts frames using the Canvas API — no raw video is ever stored
3. Frames are sent to Claude Sonnet for analysis
4. Results include form observations, severity ratings, and targeted drills

Tech stack

• Framework: Next.js 14 App Router (TypeScript)
• Auth + DB + Storage: Supabase
• AI: Anthropic Claude Sonnet
• Job queue: Inngest
• Hosting: Vercel

Local development

cp .env.example .env.local
# Fill in your keys in .env.local

npm install
npm run dev

Required environment variables (see .env.example):

Variable	Where to get it
NEXT_PUBLIC_SUPABASE_URL	Supabase project settings → API
NEXT_PUBLIC_SUPABASE_ANON_KEY	Supabase project settings → API
SUPABASE_SERVICE_ROLE_KEY	Supabase project settings → API
ANTHROPIC_API_KEY	console.anthropic.com
INNGEST_SIGNING_KEY	Inngest dashboard
INNGEST_EVENT_KEY	Inngest dashboard

Database

Run migrations in order:

supabase db push
# or apply manually via the Supabase SQL editor:
# supabase/migrations/001_initial.sql
# supabase/migrations/002_storage_policies.sql
# supabase/migrations/003_add_runner_context.sql

Disclaimer

AI-generated analysis is intended for educational purposes only. It is not a substitute for advice from a qualified running coach or physiotherapist.