TrendRadar is an open-source news and trend-monitoring assistant designed to filter large information streams down to topics a user actually cares about. It can aggregate trending content and RSS feeds, apply keyword or AI-based filtering and analysis, translate content, and produce scheduled summaries or alerts. The project is deliberately lightweight and can be deployed quickly through GitHub Actions, Docker, local environments, or web hosting services.

TrendRadar supports notifications through channels such as Telegram, Slack, WeCom, Feishu, DingTalk, email, ntfy, Bark, and generic webhooks, and it also offers MCP-related functionality for AI-assisted analysis. Its combination of automated collection, filtering, translation, and multi-channel delivery makes it useful for researchers, marketers, investors, developers, or anyone monitoring fast-moving topics. The tool is best viewed as a self-hosted attention filter and briefing system rather than a general news website.