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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What is Trendradar?
TrendRadar is an AI-driven public opinion and trend monitoring tool designed to help users combat information overload by aggregating hot topics from multiple platforms. It collects trending news and social media content from 11+ Chinese platforms (including Douyin, Zhihu, Bilibili, Weibo, Toutiao, Baidu Hot Search) and RSS feeds, then uses AI to filter, translate, and analyze content based on user-defined keywords.
Key features include multi-platform aggregation with RSS subscription support, AI-powered intelligent news filtering, automatic AI translation, and AI-generated analysis briefings delivered directly to mobile devices. The tool supports MCP (Model Context Protocol) architecture for advanced natural language conversation analysis, sentiment insight, and trend forecasting. It offers three push modes: daily summary, current rankings, and incremental monitoring.
TrendRadar is designed for investors tracking market trends, content creators wanting to ride latest waves, researchers, strategists, and anyone who needs to monitor public opinion without sifting through information overload. The tool supports Docker deployment with local or cloud data hosting options, and integrates with multiple notification channels including WeChat, Feishu, DingTalk, Telegram, Email, ntfy, Bark, and Slack for real-time alerts.
The system transforms raw unstructured data into structured intelligence through weighted ranking algorithms, frequency analysis, and statistical HTML reports with source attribution. It requires no programming knowledge for deployment, with 30-second web deployment and 1-minute mobile notification setup.
Trendradar pricing
Pricing model: Freemium
Free and open source under GPL-3.0 license. No paid plans - the tool is completely free forever. Users only need to provide their own hosting infrastructure (GitHub Actions for free tier, or self-hosted Docker deployment). No API keys required for basic functionality, though notification services like WeChat/Feishu/DingTalk/Telegram may require their own account setup. All features including multi-platform aggregation, AI filtering, AI translation, AI analysis briefings, MCP architecture support, and all notification channel integrations are included for free.
Trendradar pros
- Open source with GPL-3.0 license, free forever
- Monitors 11+ Chinese platforms including Douyin, Zhihu, Bilibili, Weibo
- AI-powered intelligent news filtering reduces information overload
- Automatic AI translation for cross-language content
- AI-generated analysis briefings sent directly to mobile
- Supports MCP architecture for natural language AI对话分析
- 8+ notification channels: WeChat, Feishu, DingTalk, Telegram, Email, ntfy, Bark, Slack
- Docker support for easy deployment in 30 seconds
- Local or cloud data hosting options for data control
- Keyword-based precise filtering with boolean logic
- Three push modes: daily summary, current rankings, incremental monitoring
- Frequency analysis and weighted ranking algorithms
- Statistical HTML reports with source attribution
- Natural language queries for deep data exploration
- 13 AI analysis tools including trend tracking, sentiment analysis, similarity search
- No programming skills required for setup
- GitHub Actions-based automated monitoring
- Customizable keyword grouping configuration
- Time series analysis on text signals
- Detects topic spikes and sudden changes across sources
Trendradar cons
- Primarily focused on Chinese platforms, limited Western media coverage
- Self-hosted solution requires own server infrastructure
- GitHub Actions usage may have rate limits for frequent monitoring
- Documentation primarily in Chinese, limited English resources
- No official cloud-hosted version available
- Requires configuration of API keys for notification services
- Learning curve for advanced configuration customization
- MCP architecture integration may require technical setup
- Limited to text-based news, no image/video analysis
- No built-in mobile app, relies on third-party notification services
- Data retention depends on self-hosted storage configuration
- Community-driven support rather than enterprise support
Frequently asked questions about Trendradar
What is TrendRadar and what does it do?
TrendRadar is an AI-driven public opinion and trend monitoring tool that aggregates hot topics from 11+ Chinese platforms (Douyin, Zhihu, Bilibili, Weibo, Toutiao, Baidu Hot Search, Cailianpress, Wallstreetcn, etc.) and RSS feeds. It uses AI to filter news by your keywords, automatically translates content, and generates analysis briefings that are pushed directly to your phone or messaging apps. It helps users combat information overload by only surfacing news and trends that are actually relevant to them.
Is TrendRadar free to use?
Yes, TrendRadar is completely free and open source under the GPL-3.0 license. There are no paid plans or hidden costs. All features including multi-platform aggregation, AI filtering, AI translation, AI analysis briefings, MCP architecture support, and integration with 8+ notification channels are included for free. Users only need to provide their own hosting (GitHub Actions or self-hosted Docker).
Which platforms does TrendRadar monitor?
TrendRadar monitors 11+ Chinese platforms including Douyin (抖音), Zhihu (知乎), Bilibili (B站), Weibo (微博), Toutiao (今日头条), Baidu Hot Search (百度热搜), Cailianpress (财联社), Wallstreetcn (华尔街见闻), and supports RSS subscriptions. The tool continuously collects content from these sources and analyzes how topics evolve over time.
How do I set up notifications?
TrendRadar supports 8+ notification channels: WeChat (微信), Feishu (飞书), DingTalk (钉钉), Telegram, Email, ntfy, Bark, and Slack. You need to configure webhook credentials through environment variables or the config.yaml file. Setup takes about 1 minute for mobile notifications. The tool provides three push modes: daily summary, current rankings, and incremental monitoring.
How does the AI filtering work?
TrendRadar uses AI for intelligent news filtering based on user-defined keywords with boolean logic support. The AI analyzes content relevance, performs automatic translation, and generates analysis briefings. The system also supports MCP (Model Context Protocol) architecture for advanced natural language conversation analysis, sentiment insight, and trend forecasting. Users can configure keyword grouping in config/frequency_words.txt.
Can I deploy TrendRadar without coding skills?
Yes, TrendRadar requires zero technical skills to set up. You can fork it from GitHub and deploy in 30 seconds via web deployment. Mobile notifications can be set up in 1 minute. The tool is designed for users who want to track trends without programming knowledge. Docker support makes deployment even easier for those who prefer containerized deployment.
What is the MCP architecture feature?
MCP (Model Context Protocol) architecture support enables advanced AI natural language对话分析 (dialogue analysis), sentiment insight, and trend forecasting. With MCP, users can ask questions in natural language to deeply挖掘 (mine) news data, including trend tracking, sentiment analysis, similarity search, and 10+ other AI analysis tools. This transforms raw data into actionable intelligence through conversational AI.
How does TrendRadar determine what is trending?
TrendRadar uses a combination of ranking, frequency, and hotness metrics to determine trending topics. Users can adjust the weight of each factor in the configuration. The system applies weighted ranking algorithms and frequency analysis to identify topic spikes and sudden changes. Time series analysis tracks how attention on a topic grows or fades over time across platforms.
Can I host TrendRadar locally instead of using GitHub Actions?
Yes, TrendRadar supports Docker deployment with options for local or cloud data hosting. You can self-host the tool to maintain complete control over your data. The Docker deployment includes docker-compose.yml for easy orchestration. Self-hosting is ideal for users who need data privacy or want to run continuous monitoring beyond GitHub Actions limitations.
What kind of reports does TrendRadar generate?
TrendRadar generates comprehensive statistical HTML reports with ranking, occurrence statistics, and source attribution. The reports include frequency statistics from word frequency analysis, title attribution with external links, temporal tracking with time range display, and interactive elements. The HTML report generation represents approximately 96% of the system's functional importance, transforming raw news data into structured intelligence.