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TrendRadar

TrendRadar

AI-driven public-opinion & trend monitor that aggregates 35+ platforms with smart alerts

Research Agents Open Source

Released

2025

Country

China

API

Available

Self-Host

Yes

GitHub Stars

59,476

Last Updated

2026-06

About TrendRadar

TrendRadar is an open-source, AI-driven public-opinion and trend monitoring tool designed to cut through information overload. It aggregates trending topics and hot content from more than 35 diverse platforms — including Zhihu, Weibo, Douyin, Baidu Hot Search, and many others — into a unified 'today's trending' view, so you can follow what matters across the Chinese-language and broader web from a single place rather than bouncing between apps. Beyond raw aggregation, TrendRadar applies AI to do the filtering and analysis work for you. It intelligently ranks and screens trending topics, supports precise keyword filtering so you only see the news you care about, delivers AI-translated and AI-summarized briefings straight to your phone, and exposes 13 MCP-based AI functions for natural-language querying — letting you ask questions about trends, run sentiment analysis, and get forward-looking insights conversationally. Smart alerts push to a wide range of channels including WeChat, Feishu, DingTalk, Telegram, email, ntfy, bark, and Slack. Operationally, TrendRadar is built for low-friction deployment: it can be up and running in about 30 seconds via GitHub Actions, runs in Docker, and lets you keep data locally or in the cloud. The MCP architecture makes it a natural fit for integration with AI assistants, turning passive news consumption into active, queryable trend intelligence. It is aimed at PR and marketing teams, analysts, brand managers, and individual information workers who need to monitor public opinion, spot emerging trends early, and act on them — without drowning in manual browsing.

Verdict

The open-source command center for public-opinion and trend monitoring. TrendRadar's 35+ platform aggregation, AI-driven filtering, and MCP querying make it a powerful self-hosted alternative to manual news browsing — especially strong for Chinese-language coverage.

Features

Aggregates 35+ platforms
AI topic screening & ranking
Precise keyword filtering
13 MCP-based AI analysis functions
Multi-channel smart alerts
Docker, ~30s deploy, local/cloud data

Detailed Ratings

Ease of Use
7.6
Value for Money
8.4
Features
8.2
Support
7.4
Performance
8.0
Overall Rating
8.0 /10

Pros & Cons

Pros

  • One unified view across 35+ trending platforms
  • AI does the filtering, ranking, and summarizing for you
  • MCP integration enables natural-language trend querying
  • Broad alert channels (WeChat, Feishu, Telegram, Slack, and more)
  • Open-source, Docker-based, fast to self-host

Cons

  • Heavy focus on Chinese-language platforms; less global coverage
  • Requires self-hosting and some technical setup
  • AI features depend on your own model/API keys

Use Cases

Brand & public-opinion monitoringEmerging-trend early warningMarketing & PR intelligenceIndustry news aggregationCompetitor and sentiment tracking

Who Is It For?

PR and marketing teams, analysts, and information workers who need to monitor public opinion and emerging trends across many platforms from one place

#public-opinion#trend-monitoring#open-source#mcp#news-aggregation#self-hosted#alerts

Frequently Asked Questions

What is TrendRadar?

TrendRadar is an open-source, AI-driven public-opinion and trend monitoring tool. It aggregates hot topics from 35+ platforms into one view, uses AI to screen and rank them, and exposes MCP-based functions for natural-language trend analysis and alerts.

Is TrendRadar free?

Yes. TrendRadar is free and open-source. You self-host it (deployable in about 30 seconds via GitHub Actions or Docker). You only pay for any LLM/API keys you supply for the AI features.

Which platforms does TrendRadar aggregate?

It covers 35+ sources with a strong focus on Chinese-language platforms — Zhihu, Weibo, Douyin, Baidu Hot Search, and many others — plus RSS subscriptions. Coverage is lighter on non-Chinese global sources.

How does TrendRadar's AI analysis work?

It provides 13 MCP-based AI functions that let you query trends, run sentiment analysis, and get summaries in natural language. AI also screens and ranks topics, translates, and pushes briefing summaries to your phone.

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Profiles are AI-assisted from public information — not independently hands-on tested.