Multi-platform AI sentiment tracking dashboard monitoring Claude, ChatGPT, and Gemini discussions across 9 Reddit communities with real-time analytics and platform comparison.
- Web Application: https://claudometer.app
- API Endpoints: https://api.claudometer.app
Claudometer monitors Reddit discussions about major AI platforms and provides:
- Multi-platform sentiment tracking for Claude, ChatGPT, and Gemini
- Interactive platform toggle controls with client-side filtering
- Real-time sentiment analysis using OpenAI GPT-4o-mini
- Comparative analytics across 9 Reddit communities
- 24-hour trend visualization with chronological ordering
- Topic and keyword analysis with cross-platform aggregation
- Platform-specific data collection with staggered scheduling
- Event timeline integration for significant AI developments
- Frontend: React + TypeScript + Tailwind CSS (deployed on Cloudflare Pages)
- Backend: Cloudflare Workers with JavaScript
- Database: Cloudflare D1 (SQLite)
- Cache: Cloudflare KV for API response caching (55-minute TTL)
- External APIs: Reddit OAuth + OpenAI GPT-4o-mini
- Monitoring:
- Claude: r/Anthropic, r/ClaudeAI, r/ClaudeCode
- ChatGPT: r/ChatGPT, r/OpenAI, r/GPT4
- Gemini: r/GoogleAI, r/Bard, r/Gemini
- Platform toggle controls with logo icons (Claude, ChatGPT, Gemini)
- Client-side filtering with instant aggregation across selected platforms
- Sentiment gauge with real-time scores and platform comparison
- 24-hour trend charts with chronological ordering and post/comment counts
- Topic breakdown with cross-platform aggregation and color-coding
- Trending keywords analysis with weighted sentiment
- Recent posts feed with platform indicators and individual sentiment scores
- Event timeline integration for AI industry developments
GET /current-sentiment- Multi-platform sentiment data (optional platform filtering)GET /hourly-data- 24-hour trend data with events (optional platform filtering)GET /topics- Topic breakdown analysis (optional platform filtering)GET /keywords- Trending keywords (optional platform filtering)GET /recent-posts- Recent posts feed (optional platform filtering)GET /platforms- Platform metadata with icons and configuration
- 95% faster responses with KV caching
- Sub-second dashboard loads when cache is warm
- Automatic cache invalidation after data updates
Claudometer/
├── claudometer-web/ # React frontend
│ ├── src/
│ │ ├── App.tsx # Main dashboard
│ │ ├── components/ # Reusable components
│ │ └── pages/ # Contact, Methodology pages
│ └── build/ # Production build
├── claudometer-worker/ # Cloudflare Workers API
│ ├── src/index.js # Main worker with endpoints
│ └── wrangler.toml # Cloudflare configuration
├── database/ # Database migrations
└── docs/ # Documentation
├── project-summary.md # Complete project overview
└── CLAUDE.md # Technical implementation guide
- Node.js 16+
- Cloudflare account
- Reddit API application
- OpenAI API key
-
Clone the repository
git clone https://github.com/yourusername/claudometer.git cd claudometer -
Set up the backend
cd claudometer-worker npm install # Configure secrets wrangler secret put REDDIT_CLIENT_ID wrangler secret put REDDIT_CLIENT_SECRET wrangler secret put OPENAI_API_KEY # Deploy npm run deploy
-
Set up the frontend
cd ../claudometer-web npm install npm start # Development server npm run build # Production build
See project-summary.md and CLAUDE.md for complete setup instructions including:
- Reddit API application setup
- Cloudflare D1 database creation
- KV namespace configuration
- Database migrations
- Deployment configuration
All sensitive credentials are managed via Cloudflare Workers secrets:
REDDIT_CLIENT_ID- Reddit API client IDREDDIT_CLIENT_SECRET- Reddit API client secretOPENAI_API_KEY- OpenAI API key for sentiment analysis
- Frequency: Every hour via Cloudflare Workers cron with staggered collection
- Multi-Platform Schedule: Claude (0-15min), ChatGPT (15-30min), Gemini (30-45min)
- Sources: 20 posts + 5 top comments per subreddit × 3 subreddits per platform
- Analysis: ALL fetched content analyzed with OpenAI (225 items/hour total)
- Platform-Specific Prompts: Tailored sentiment analysis for each AI platform
- Storage: Posts and comments stored separately with platform_id and weighted sentiment
- Caching: 55-minute API response cache with automatic invalidation after data collection
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
- Reddit API for providing access to community discussions
- OpenAI for sentiment analysis capabilities
- Cloudflare for the robust infrastructure platform
- Claude AI community for the engaging discussions we monitor
- Platforms: 3 AI platforms (Claude, ChatGPT, Gemini)
- Communities: 9 subreddits monitored
- Data Collection: 225 items analyzed hourly (75 per platform)
- Analysis: Platform-specific AI-powered sentiment scoring
- Frontend: Client-side platform filtering with instant aggregation
- Performance: <1s dashboard load times with 55-minute caching
- Uptime: 99.9% via Cloudflare infrastructure
Live Site: claudometer.app | API: api.claudometer.app