oghunt

oghunt uses AI to remove the AI listings from today's Product Hunt launches.

What's inside?

This Turborepo includes the following packages/apps:

Apps and Packages

• web: a Next.js app powering oghunt

Utilities

This Turborepo has some additional tools already setup for you:

• TypeScript for static type checking
• Biome for code linting and formatting

Build

To build all apps and packages, run the following command:

cd my-turborepo
pnpm build

Development

This is what you need to get up and running

1. Create a ProductHunt account. Then, go to your API Dashboard. Afterwards, create an application. Set the redirect URI to https://localhost:3000 for local development purposes. Then, generate a Developer Token.

2. Generate a Gemini API key:

   • Go to Google AI Studio
   • Create a new API key
   • Copy the key for use in your environment variables

3. Create a .env file similar to .env.example with the following variables:

   • CRON_SECRET: Set to whatever you'd like locally
   • DATABASE_URL: Set to "postgresql://dev:dev@localhost:5432/oghunt"
   • GEMINI_API_KEY: Your Gemini API key from step 2
   • PRODUCTHUNT_TOKEN: Your ProductHunt Developer Token from step 1

4. Start the database:

docker compose up -d

5. With the docker container running in the background, install dependencies and set up the database:

   • pnpm i
   • pnpm db:push (only needed once to push these changes to the local DB)
   • pnpm dev

6. Seed the database:

   • Send a GET request to http://localhost:3000/api/ingest-posts
   • Include the header: Authorization: Bearer CRON_SECRET where CRON_SECRET matches your .env value

Please feel free to check out our architecture diagram in Excalidraw.