Description
Scrolling Weibo, Zhihu and Toutiao for trends eats an hour and few items turn out to matter. TrendRadar aims to show only what you care about: it aggregates trends across platforms, filters by your keywords and pushes the result to you, and claims a deploy in as little as 30 seconds.
It aims to be light and easy to deploy, with Docker or local setups.
Multi-platform trend aggregation: Collects the hot lists of several platforms at once instead of opening each.
Keyword filtering: Keeps news related to the keywords you configure and drops the rest.
AI analysis: Connects an LLM to analyze trends.
MCP client: Plugs into MCP-capable clients so an AI can query trend data directly.
Two ways to deploy: Docker or local setups are documented, and you can fork it on GitHub to run it in one click.
Trend data comes from the open-source newsnow API, and the author asks users to keep push frequency reasonable to spare that server. Licensed under GPL-3.0.
It aims to be light and easy to deploy, with Docker or local setups.
Features
Multi-platform trend aggregation: Collects the hot lists of several platforms at once instead of opening each.
Keyword filtering: Keeps news related to the keywords you configure and drops the rest.
AI analysis: Connects an LLM to analyze trends.
MCP client: Plugs into MCP-capable clients so an AI can query trend data directly.
Two ways to deploy: Docker or local setups are documented, and you can fork it on GitHub to run it in one click.
Trend data comes from the open-source newsnow API, and the author asks users to keep push frequency reasonable to spare that server. Licensed under GPL-3.0.
