This application monitors the r/usenet subreddit for posts about open registrations for usenet indexers and sends email notifications when such posts are detected. It uses OpenAI's GPT-3.5-turbo model to intelligently analyze posts and determine if they're announcing registration opportunities.

1. Create a Reddit API application:

   • Go to https://www.reddit.com/prefs/apps
   • Click "create another app..."
   • Select "script"
   • Fill in the name and description
   • For "redirect uri", enter: http://localhost:8080
   • Note down the client ID (under the app name) and client secret

2. Configure email settings:

   • If using Gmail, you'll need to create an App Password:
     • Go to your Google Account settings
     • Security > 2-Step Verification > App passwords
     • Generate a new app password for this application

3. Set up OpenAI API:

   • Go to https://platform.openai.com/api-keys
   • Create a new API key
   • Note: You'll need to have an OpenAI account with billing set up
   • The API key will be used to analyze posts using GPT-3.5-turbo

4. Install dependencies:

   pip install -r requirements.txt

5. Configure the application:

   • Copy .env.example to .env:

     cp .env.example .env

   • Edit .env and fill in your credentials:
     • REDDIT_CLIENT_ID: Your Reddit app client ID
     • REDDIT_CLIENT_SECRET: Your Reddit app client secret
     • REDDIT_USER_AGENT: A unique identifier for your app (e.g., "usenet_monitor:v1.0")
     • REDDIT_USERNAME: Your Reddit username
     • REDDIT_PASSWORD: Your Reddit password
     • EMAIL_SENDER: Your email address
     • EMAIL_PASSWORD: Your email password (or app password)
     • EMAIL_RECIPIENT: The email address to receive notifications
     • OPENAI_API_KEY: Your OpenAI API key

Run the monitor:

python reddit_monitor.py

The application will:

• Check for new posts every 5 minutes
• Use GPT-3.5-turbo to analyze posts for registration opportunities
• Send email notifications when relevant posts are found
• Only notify about posts from the last hour to avoid duplicates

The application uses GPT-3.5-turbo to analyze posts based on the following criteria:

1. Is the post announcing a new registration period or invitation system?
2. Is it related to Usenet indexers, trackers, or similar services?
3. Is the opportunity currently active or upcoming?

Each analysis includes:

• A relevance determination (true/false)
• A confidence score (0-1)
• A brief explanation of why the post is or isn't relevant

The application also maintains a list of keywords for basic filtering before LLM analysis:

• "open registration"
• "registration open"
• "signup"
• "sign up"
• "invite"
• "invitation"