TrendRadar

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⭐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。

★ 62K24,875 forksPythonGPL-3.0sansan0

Python trend/opinion monitor that aggregates multi-platform hot lists and RSS, using LLMs for keyword filtering, translation and daily briefs pushed to WeChat, Feishu, DingTalk, Telegram, email, ntfy, Bark and Slack. Also ships an MCP server for conversational news analysis.

Use Cases

Aggregate trending topics from multiple news/social platforms into one dashboardFilter hot news by keyword groups to cut information overloadLLM screening of headlines with relevance scoringGenerate AI daily briefings of trends and public opinionTranslate foreign-language headlines and push multilingual digestsPush alerts to WeChat, WeCom, Feishu, DingTalk, Telegram, email, ntfy, Bark, SlackSubscribe to arbitrary RSS feeds alongside platform hot listsAsk an MCP client natural-language questions over collected news dataSentiment insight and trend prediction over aggregated newsSelf-host pipeline via Docker or run scheduled on GitHub Actions

Built With

Language: Python
Frameworks: FastMCP · LiteLLM · feedparser · boto3 · Docker · GitHub Actions · Cloudflare Pages

TrendRadar

Use Cases

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