sansan0/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。 observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 93
- Release rhythm 35
- Longevity 35
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 492
- days_rel: n/a
- days_push: 47
- n_releases_24m: 0
Adoption not part of the score
61855 stars · 24874 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TrendRadar is a self-hostable AI-powered public opinion and trending-news monitor that aggregates hot topics across multiple platforms and RSS feeds, filters them by keywords, and pushes AI-generated analysis briefs to messaging channels. It supports Docker deployment, local or cloud data storage, and an MCP server for natural-language conversational analysis, sentiment insight, and trend prediction.
Use cases
- monitor trending news across multiple platforms without doomscrolling
- filter hot topics by keywords and get smart alerts
- get AI-generated news analysis briefs pushed to WeChat or Telegram
- subscribe to RSS feeds and aggregate headlines in one place
- translate news push notifications into multiple languages with AI
- query trend data via natural language through an MCP server
- run a self-hosted public opinion monitoring dashboard with Docker
When to choose
- you want a self-hosted, keyword-driven hot-topic aggregator with multi-channel push notifications
- you need AI filtering, translation, and analysis briefs delivered to chat apps like WeChat, Feishu, DingTalk, or Telegram
- you want MCP integration so AI assistants can analyze trends conversationally
- you prefer data stored locally or in your own cloud
When to avoid
- you need enterprise-grade media monitoring with licensed data sources and compliance guarantees
- you only want a simple RSS reader without AI analysis or push notifications
- you cannot run Docker or a Python environment and need a fully managed SaaS
- your target platforms are not among the supported Chinese and international messaging channels
Facets
application · maturity active
web-scraping etl nlp llm-inference rag mcp analytics scheduling webhook analytics self-hosted developer-tools social-media python self-hosted cross-platform cli trend-monitoring public-opinion hot-news-aggregation keyword-filtering push-notifications wechat telegram feishu dingtalk bark ntfy slack email-notifications ai-translation sentiment-analysis rss natural-language-processing data-engineering automation news docker
2 sources
- readme: https://github.com/sansan0/TrendRadar · fetched 2026-08-28 · 442badda1022
- homepage: https://trendradar.sandev.cc · fetched 2026-08-28 · 28d5061cecd5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sansan0/TrendRadar | main | 61 |
For agents
markdown · JSON · MCP: product_card(name="sansan0/TrendRadar")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem