Gradient

Interactive machine learning learning platform built with Next.js 16, Clerk, and Supabase.

Deploy

1. Environment variables

Copy .env.local.example to .env.local locally, or set these in your hosting provider (e.g. Vercel → Project Settings → Environment Variables):

Variable	Description
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY	Clerk publishable key
CLERK_SECRET_KEY	Clerk secret key
SUPABASE_URL	Supabase project URL
SUPABASE_SERVICE_ROLE_KEY	Supabase service role key (server-only)

2. Database

Run supabase/schema.sql in the Supabase SQL editor before going live.

3. Build & run

npm install
npm run build
npm run start

Vercel: Import the repo, add the four env vars above, and deploy. Next.js is detected automatically; no extra config required.

Node: 20+

Local development

cp .env.local.example .env.local
# fill in keys, run schema.sql in Supabase
npm install
npm run dev

Open http://localhost:3000.