# TrendRadar — AI-Driven Trend Monitoring System > Deploy an AI-powered trend monitoring system in 30 seconds. Aggregates from 50+ platforms, AI-filters by your interests, pushes to WeChat/Telegram/Slack/email. GPL-3.0, 51K+ stars. ## Install Save the content below to `.claude/skills/` or append to your `CLAUDE.md`: ## Quick Use 1. Deploy with Docker: ```bash docker run -d --name trendradar -p 8080:8080 sansan0/trendradar:latest ``` 2. Open `http://localhost:8080` and configure your interests and notification channels. 3. TrendRadar starts collecting and filtering trending content automatically. --- ## Intro TrendRadar is an AI-driven public opinion and trend monitoring system with 51,000+ GitHub stars. It aggregates trending content from 50+ platforms and RSS feeds, applies AI-powered intelligent filtering based on your interests, and delivers curated alerts to 9+ channels including WeChat, Telegram, Slack, and email. Deployable in 30 seconds via Docker. Best for developers, marketers, and researchers who need to stay on top of industry trends without manual browsing. Works with MCP for AI assistant integration. Explore more open-source AI tools on [TokRepo AI Open Source](https://tokrepo.com/en/@AI%20Open%20Source). --- ## TrendRadar — AI-Driven Public Opinion & Trend Monitoring ### What It Does TrendRadar continuously monitors trending topics across multiple platforms, uses AI to filter content matching your interests, translates foreign content automatically, and pushes curated summaries to your preferred notification channels — all on autopilot. ### Key Features - **Multi-platform aggregation** — monitors 50+ platforms and custom RSS feeds - **AI intelligent filtering** — describe your interests in natural language, AI selects relevant content - **Automated translation** — AI-powered translation for cross-language monitoring - **9+ notification channels** — WeChat, Telegram, Feishu, DingTalk, Slack, email, and more - **Timeline scheduling** — control collection, analysis, and delivery timing - **MCP integration** — connect to AI assistants via Model Context Protocol - **Visual config editor** — GUI for managing all settings - **30-second deploy** — Docker one-liner to get started ### Installation Options **Docker (recommended):** ```bash docker run -d --name trendradar -p 8080:8080 sansan0/trendradar:latest ``` **Shell script (macOS):** ```bash curl -fsSL https://raw.githubusercontent.com/sansan0/TrendRadar/main/install.sh | bash ``` **Python:** ```bash git clone https://github.com/sansan0/TrendRadar.git cd TrendRadar pip install -r requirements.txt python main.py ``` ### Use Cases 1. **Tech trend monitoring** — track GitHub trending, Hacker News, Reddit for your tech stack 2. **Competitor intelligence** — monitor mentions of competitors across platforms 3. **Research alerts** — get notified about new papers and breakthroughs in your field 4. **Social media monitoring** — track brand mentions and industry discussions 5. **News aggregation** — curated daily/weekly digest of relevant news ### Configuration Example Describe your interests in natural language: ``` I'm interested in AI coding tools, MCP servers, Claude Code updates, and open-source AI infrastructure. Ignore cryptocurrency and gaming news. ``` TrendRadar's AI filters all incoming content based on this description. ### FAQ **Q: What is TrendRadar?** A: TrendRadar is an open-source AI-driven trend monitoring system that aggregates content from 50+ platforms, intelligently filters it based on your interests, and delivers curated alerts to your preferred channels. **Q: Is TrendRadar free?** A: Yes, TrendRadar is free and open-source under the GPL-3.0 license. Self-hosted, no subscription required. **Q: How fast can I deploy TrendRadar?** A: With Docker, deployment takes about 30 seconds. The shell script installer takes about 2 minutes. --- ## Source & Thanks > Created by [sansan0](https://github.com/sansan0). Licensed under GPL-3.0. > > [TrendRadar](https://github.com/sansan0/TrendRadar) — ⭐ 51,000+ Thanks to sansan0 for building a comprehensive trend monitoring tool that saves hours of manual browsing. --- ## Quick Use 1. Docker deployment: ```bash docker run -d --name trendradar -p 8080:8080 sansan0/trendradar:latest ``` 2. Open `http://localhost:8080` and configure your interests and notification channels. 3. TrendRadar begins collecting and filtering trending content automatically. --- ## Introduction TrendRadar is an AI-powered sentiment and trend monitoring system with 51,000+ GitHub stars. It aggregates trending content from 50+ platforms and RSS feeds, uses AI to intelligently filter by your interests, and pushes results to WeChat, Telegram, Slack, email, and 9+ other channels. Docker deployment in 30 seconds. Ideal for developers, marketers, and researchers tracking industry trends. --- ## TrendRadar — AI-Driven Sentiment and Trend Monitoring ### Core Features - **50+ platform aggregation** — monitor multiple platforms and custom RSS feeds - **AI smart filtering** — describe interests in natural language; AI surfaces relevant content - **Auto-translation** — AI-driven cross-language monitoring - **9+ notification channels** — WeChat, Telegram, Feishu, DingTalk, Slack, email, and more - **Scheduled execution** — control collection, analysis, and push timing - **MCP integration** — connects to AI assistants - **Visual configuration** — GUI-based management for all settings - **30-second deployment** — one-command Docker launch ### FAQ **Q: What is TrendRadar?** A: An open-source AI sentiment monitoring system that aggregates content from 50+ platforms, filters intelligently, and pushes to multiple channels. **Q: Is it free?** A: Completely free and open source under GPL-3.0 — self-hosted with no subscription fees. --- ## Source & Thanks > Created by [sansan0](https://github.com/sansan0). Licensed under GPL-3.0. > > [TrendRadar](https://github.com/sansan0/TrendRadar) — ⭐ 51,000+ --- Source: https://tokrepo.com/en/workflows/trendradar-ai-driven-trend-monitoring-system-a42aec90 Author: AI Open Source