TrendRadar

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。

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About TrendRadar

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载,你的 AI 舆情监控助手与热点筛选工具!聚合多平台热点 + RSS 订阅,支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机,也支持接入 MCP 架构,赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ,数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。

TrendRadar is an AI-powered public opinion and trend monitoring tool designed to cut through information overload. It aggregates trending topics and news from multiple platforms via RSS feeds, then uses AI to intelligently filter, translate, and analyze content. Its unique value lies in delivering concise AI-generated briefs directly to your phone and supporting the MCP (Model Context Protocol) architecture, enabling advanced natural language dialogue analysis, sentiment insights, and trend predictions. With support for Docker, you maintain full control over your data, whether hosted locally or in the cloud. It seamlessly integrates with popular communication channels like WeChat, Feishu, DingTalk, Telegram, Email, ntfy, Bark, and Slack for smart alerts. As a free, open-source Python tool hosted on GitHub, TrendRadar offers a powerful, customizable solution for real-time intelligence.

Common Use Cases

  • Monitor brand reputation and public sentiment across social media and news platforms in real-time.
  • Track industry trends and emerging topics to stay ahead of competitors and market shifts.
  • Receive AI-curated news briefs and alerts on specific keywords via your preferred messaging apps.
  • Conduct deep sentiment analysis and predictive trend forecasting using the integrated MCP server.
  • Build a private, self-hosted news aggregation and analysis dashboard with Docker deployment.
★★★½☆
3.8
50,692 users
Trending
Data AnalysisFreeaibarkdata-analysis

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Key Features

  • Python
  • Open Source
  • GitHub Hosted

How to Get Started

1. Visit the TrendRadar GitHub repository and clone the project. 2. Install dependencies using Python and set up your configuration file with RSS feeds and keywords. 3. Deploy via Docker for local or cloud hosting. 4. Connect your preferred notification channels like WeChat or Email. 5. Start the service and begin receiving AI-filtered alerts and analysis.

Usage Statistics

Active Users

50,692

API Calls

22,912,000

Additional Information

Category

Data Analysis

Pricing

Free

Last Updated

4/3/2026

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