# 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 as a script file and run:

## 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.

---

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## 快速使用

1. Docker 部署：
```bash
docker run -d --name trendradar 
  -p 8080:8080 
  sansan0/trendradar:latest
```

2. 打开 `http://localhost:8080`，配置你的兴趣和通知渠道。

3. TrendRadar 自动开始采集和过滤热门内容。

---

## 简介

TrendRadar 是一个 AI 驱动的舆情和趋势监控系统，GitHub 51,000+ star。聚合 50+ 平台和 RSS 源的热门内容，用 AI 根据你的兴趣智能过滤，推送到微信、Telegram、Slack、邮件等 9+ 渠道。Docker 30 秒部署。适合需要追踪行业趋势的开发者、营销人员和研究人员。

---

## TrendRadar — AI 驱动的舆情与趋势监控

### 核心功能

- **50+ 平台聚合** — 监控多平台和自定义 RSS 源
- **AI 智能过滤** — 用自然语言描述兴趣，AI 筛选相关内容
- **自动翻译** — AI 驱动的跨语言监控
- **9+ 通知渠道** — 微信、Telegram、飞书、钉钉、Slack、邮件等
- **定时调度** — 控制采集、分析、推送时间
- **MCP 集成** — 连接 AI 助手
- **可视化配置** — GUI 管理所有设置
- **30 秒部署** — Docker 一键启动

### FAQ

**Q: TrendRadar 是什么？**
A: 一个开源的 AI 舆情监控系统，聚合 50+ 平台内容、智能过滤、多渠道推送。

**Q: 免费吗？**
A: 完全免费开源，GPL-3.0 许可，自托管无订阅费。

---

## 来源与感谢

> Created by [sansan0](https://github.com/sansan0). Licensed under GPL-3.0.
>
> [TrendRadar](https://github.com/sansan0/TrendRadar) — ⭐ 51,000+


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Source: https://tokrepo.com/en/workflows/a42aec90-33ca-11f1-9bc6-00163e2b0d79
Author: AI Open Source