Gachi
Find your food people — a platonic dining-matchmaking app for Social Foodies.
Stack
- Next.js (App Router) + TypeScript + Tailwind CSS
- Supabase (Postgres + Auth) for accounts, profiles, matches, and plans
Setup
-
Create a free project at supabase.com.
-
In the Supabase dashboard, open SQL Editor → New query, paste the contents of
supabase/schema.sql, and run it. This creates the tables,
seeds cuisines + a few sample restaurants, and sets up row-level security.
-
In Project Settings → API, copy the Project URL and anon public key.
-
Copy .env.local.example to .env.local and fill in those two values:
cp .env.local.example .env.local
-
(Optional, for faster local testing) In Authentication → Providers → Email,
turn off "Confirm email" so new accounts are active immediately instead of
needing an email click.
-
Install dependencies and run the dev server:
npm install
npm run dev
-
Open http://localhost:3000.
How matching works
Each person picks the cuisines they love during onboarding. On the Discover tab,
everyone else is ranked by taste-match % — the overlap between your cuisine picks
and theirs (shared ÷ union). Tapping Match creates a mutual match immediately
(no swiping/ghosting — Gachi is low-pressure by design). From the Matches tab you
can lock in a restaurant to plan a meal together.
Project structure
src/app/page.tsx — public marketing landing pagesrc/app/login, src/app/signup — authsrc/app/onboarding — pick cuisines + basic profile infosrc/app/app/* — the signed-in product (Home, Discover, Matches, Profile)src/lib/data.ts — server-side data fetching from Supabasesrc/lib/matching.ts — taste-match scoringsupabase/schema.sql — database schema, seed data, RLS policies
Next steps to consider
- Real restaurant data (an API like Google Places/Yelp instead of the seeded list)
- Photo uploads for profiles (Supabase Storage)
- In-app messaging once a match is made
- Stripe integration for the $4.99/mo subscription tier
