969bc9347a
Next.js 14 drink collection tracker with AI-powered search, menu scanning, ratings, wishlist, sharing, and CSV backup/restore. Features: - Auth (credentials + OAuth ready) - Drink collection with ratings and reviews - AI search via Claude/OpenAI with search history - Menu photo scanning with AI extraction - Wishlist / Try Later system - Public sharing via slug URLs - CSV backup and restore (merge/replace modes) - Docker Compose for Postgres + MinIO + dev server Security: docker-compose files use env var interpolation instead of hardcoded secrets. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1.4 KiB
1.4 KiB
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.