Trendradar — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Trendradar. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Mar 28, 2026 • Sentiment updated: Mar 17, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The TrendRadar project has a moderate level of community engagement, with users discussing topics such as AI, data analysis, and trending topics. The project's use of Docker and Python suggests a focus on ease of use and deployment. However, there is limited information available about the project's performance and safety.

Why Trendradar Stands Out

TrendRadar stands out from other trend monitoring tools with its AI-driven approach to filtering and prioritizing news, allowing users to focus on what really matters. Its support for multiple platforms and keyword filtering also make it a versatile tool for social media monitoring and news aggregation. By leveraging AI-powered analysis and natural language processing, TrendRadar provides a unique solution for tracking trending topics and staying up-to-date on the latest news.

Built With

Build a real-time news aggregator that filters out noise — TrendRadar's AI-driven smart alerts and multi-platform aggregation enable this by automatically filtering and prioritizing news, Build a trending topic detector that sends alerts to your phone — TrendRadar's AI analysis and natural language processing capabilities make this possible, Build a social media monitoring tool that tracks brand mentions — TrendRadar's support for multiple platforms and keyword filtering enable this use case, Build a news translator that breaks language barriers — TrendRadar's AI translation feature makes this possible, Build a data analysis pipeline that visualizes trending topics — TrendRadar's data analysis capabilities and support for multiple data sources enable this

Getting Started

  1. Install TrendRadar using pip: `pip install trendradar`
  2. Configure your news sources and keyword filters in the `config.json` file
  3. Run the TrendRadar server using `trendradar --start`
  4. Set up your notification preferences in the `notifications.json` file
  5. Try searching for trending topics using the `trendradar --search` command to verify it works

About

⭐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。

Official site: https://sansan0.github.io/TrendRadar/

Category & Tags

Category: social

Tags: ai, bark, data-analysis, docker, hot-news, llm, mail, mcp, mcp-server, news, ntfy, python, rss, trending-topics, wechat, wework

Market Context

TrendRadar is a project focused on analyzing trending topics and news, leveraging AI and data analysis techniques.