Diggest-AI-news-Tool

# AI Daily News Bot Automatically capture AI investment and technology dynamics, and push them to Feishu every day. ## Features - 🌐 Multi-source search: YC / Product Hunt / GitHub Trending / TechCrunch / Industry media - 📊 Intelligent classification: AI application layer ≥60%, others up to 20 items - 🏷️ Automatic tagging: YC / PH / GH / New product / Financing / Tool - 📱 Feishu push: Supports Webhook or Open Platform App in two ways - ⏰ Scheduled task: Linux crontab one-click configuration ## Quick Start ### 1. Clone + Installation ```bash git clone <your-repo-url> ai-news-bot cd ai-news-bot pip install -r requirements.txt ``` ### 2. Configuration **Method A: Feishu Webhook (Simplest)** Add a "Custom Robot" to your Feishu group chat (Group settings → Group robots → Add robot), copy the Webhook URL, and fill it into the `webhook_url` field in `config.py`. **Method B: Feishu Open Platform App** Create an app on the [Feishu Open Platform](https://open.feishu.cn/app), get the `App ID` and `App Secret`, and fill them into `config.py`. ### 3. Configure Search Preferences Edit the `SEARCH_QUERIES` list in `src/config.py` to adjust: - Product Hunt weight → Increase PH-related query words - YC weight → Increase Y Combinator-related query words ### 4. Testing ```bash python src/feishu.py # Test Feishu connectivity python src/main.py --test # Send test message python src/main.py --dry # Generate content only, do not send ``` ### 5. Scheduled Task ```bash # Execute every morning at 9:00 (Beijing time) 0 9 * * * cd /path/to/ai-news-bot && python src/main.py >> logs/cron.log 2>&1 ``` ## Directory Structure ``` ai-news-bot/ ├── README.md ├── requirements.txt ├── .env.example ├── config.py ← Main configuration file └── src/ ├── main.py ← Entry, cron calls this ├── searcher.py ← Multi-source search ├── formatter.py ← News formatting └── feishu.py ← Feishu sending ``` ## Integration with OpenClaw If deployed on the same machine as OpenClaw, `searcher.py` will automatically accelerate search through the local MCP port (localhost:3100) without additional configuration. ## Custom News Sources Edit `SEARCH_QUERIES` in `config.py` with the format: ```python ("Search keyword", return count), ``` ## Product Hunt Weight Adjustment 恒宇 requires Product Hunt weight adjustment. The current configuration includes: - Product Hunt AI product popular - Product Hunt AI tool release - YC AI startup If further adjustment is needed, increase the proportion of PH-related query words in the list.