Community TL;DR

A Chrome extension powered by AI to generate quick summaries of community discussions. Get insights from lengthy threads without reading through everything.

Currently released on the Chrome Web Store.

Features

• 🤖 AI-powered discussion summarization
• 🌐 Support for major communities (Hacker News, Reddit)
• 🌍 Multiple language support
  • English
  • Chinese (中文)
  • Japanese (日本語)
  • Korean (한국어)
• ⚙️ Flexible AI backend
  • Custom API endpoint
  • OpenAI API
  • Anthropic Claude
  • Cloudflare AI Worker
• 📱 Thread-level summaries with side-by-side view
• 🎯 Focus on key points and insights
• 📊 Smart content analysis and language translation

Supported Communities

Currently supported:

• ✅ Hacker News discussions
• ✅ Reddit threads

Coming soon:

• 🔄 Twitter threads
• 🔄 GitHub Discussions
• More suggestions welcome!

Installation

Chrome Web Store (Recommended)

1. Visit the Chrome Web Store page
2. Click "Add to Chrome"
3. Follow the installation prompts

Manual Installation (Development)

1. Clone the repository
2. Install dependencies: npm install
3. Build: npm run build
4. Load unpacked extension from dist folder

Configuration

1. Click the extension icon and go to Settings
2. Configure your AI service:
   • Custom Endpoint (recommended)
   • OpenAI
   • Anthropic (Claude)
   • Cloudflare AI Worker
3. Set your preferred:
   • Summary language
   • Summary length
   • Auto-summarize options
4. Save settings and start using

Usage

1. Visit a supported site (Hacker News or Reddit)
2. Click the extension icon or use the TL;DR button
3. Choose summarization options:
   • Full discussion summary
   • Individual thread summary
4. View summaries in the sidebar
5. Click summaries to navigate to original content

Development

# Install dependencies
npm install

# Development build with watch mode
npm run dev

# Production build
npm run build

Contributing

We welcome contributions! See our Contributing Guide for:

• Adding new community support
• Improving summarization
• Bug fixes and feature enhancements
• Documentation improvements

Adding Support for New Communities

Check our Contributing Guide for:

• Architecture overview
• Parser implementation
• Testing requirements
• PR submission process

Roadmap

• Support for more communities (Twitter, GitHub)
• Enhanced summarization algorithms
• Custom prompt templates
• Community-driven improvements
• Performance optimizations

Privacy & Security

• No user data collection
• Local storage for settings only
• Secure API handling
• Privacy-focused design