TrendRadar is an innovative tool designed to cut through information overload by intelligently aggregating and analyzing trending topics from over 35 diverse platforms, including popular Chinese social media like Douyin, Zhihu, Bilibili, and Weibo. It empowers users to move beyond algorithm-driven feeds by offering smart content filtering based on custom keywords, automated real-time push notifications across multiple channels (WeCom, Feishu, DingTalk, Telegram, Email, ntfy), and sophisticated AI-powered conversational analysis via the MCP protocol. With features like topic trend tracking, sentiment analysis, and cross-platform comparisons, TrendRadar allows for deep, natural language-based exploration of news data, all with zero-code deployment in minutes, enabling users to truly understand and act on the most relevant information.
Key Features
01Multi-platform Trending Topic Aggregation from over 35 sources
02AI-Powered Conversational Analysis with 13 tools via MCP protocol
03Intelligent Content Filtering using custom keywords and groups
04Customizable Push Strategies including daily summary, current list, and incremental monitoring with time window control
05Multi-channel Real-time Notifications to WeCom, Feishu, DingTalk, Telegram, Email, and ntfy
064,591 GitHub stars
Use Cases
01Monitoring stock market investments and financial news for investors
02Tracking brand sentiment and public relations for corporate communications
03Identifying and analyzing industry trends for content creators, self-media professionals, or researchers
