TrendRadar

TrendRadar is an AI-assisted trend and public-opinion monitor focused on Chinese platforms. It aggregates trending lists from 11 mainstream sources by default, including Zhihu, Douyin, Bilibili, Weibo, Baidu, Toutiao, Tieba, The Paper, Wallstreetcn and Cailian Press, plus any RSS or Atom feeds you add, then filters them by your keywords so you only see what you care about.

It suits individuals, analysts and teams who track news, industry topics or brand mentions in the Chinese internet. AI features filter and translate items and generate analysis briefings, and an MCP server lets you analyse the collected data in natural language, including sentiment and trend questions. Results are pushed to WeChat (WeCom), Feishu, DingTalk, Telegram, email, ntfy, Bark, Slack and other channels, with daily-summary and incremental push modes. A web-based configuration editor avoids hand-editing YAML, and data can be stored locally or in S3-compatible cloud storage.

Getting started: deploy with Docker, run it locally with `uv sync` and `uv run python -m trendradar`, or use GitHub Actions for a serverless setup. Configure platforms, keywords and push channels in `config.yaml` or the online editor.