How to efficiently access the most valuable information streams in Chinese and English? These two widely recommended free open-source tools automatically capture trending topics across both language regions, use AI to filter high-value content, generate translated + deep analysis briefs, and push them with one click:

1. TrendRadar (58k+ stars) — Chinese region: Automatically scrapes 11+ major platforms (Zhihu, Douyin, Bilibili, Weibo, Toutiao, etc.) + RSS hot topics, uses AI to filter high-value content, generates analysis briefs, supports push via WeChat/TG/Feishu/DingTalk/Bark. GitHub: https://github.com/sansan0/TrendRadar…
2. Horizon (4.6k+ stars) — English region: Automatically scrapes overseas platforms (Hacker News, Reddit, X, GitHub Release, Telegram, etc.), uses AI to automatically filter noise + deduplicate + extract top comments + fill in background, generates bilingual daily reports, pushes with one click to Feishu/Email/GitHub Pages. GitHub: https://github.com/Thysrael/Horizon…

One handles Chinese information flow, the other handles English — just feed them to your agent for deployment.

sansan0/TrendRadar

Source: https://github.com/sansan0/TrendRadar

A hotspot assistant deployable in as fast as 30 seconds — stop scrolling mindlessly, read only the news that truly matters.

GitHub Stars (https://github.com/sansan0/TrendRadar/stargazers)
GitHub Forks (https://github.com/sansan0/TrendRadar/network/members)
License
Version (https://github.com/sansan0/TrendRadar)
MCP (https://github.com/sansan0/TrendRadar)
RSS (https://github.com/sansan0/TrendRadar)
AI Translation (https://github.com/sansan0/TrendRadar)
WeCom Notification (https://work.weixin.qq.com/)
WeChat Notification (https://weixin.qq.com/)
Telegram Notification (https://telegram.org/)
DingTalk Notification
Feishu Notification (https://www.feishu.cn/)
Email Notification
ntfy Notification (https://github.com/binwiederhier/ntfy)
Bark Notification (https://github.com/Finb/Bark)
Slack Notification (https://slack.com/)
Generic Webhook
GitHub Actions (https://github.com/sansan0/TrendRadar)
GitHub Pages (https://sansan0.github.io/TrendRadar)
Docker (https://hub.docker.com/r/wantcat/trendradar)
MCP Support (https://modelcontextprotocol.io/)
AI Analysis Push
AI Smart Filtering

中文 | English

This project aims to be lightweight and easy to deploy.

📑 Quick Navigation

💡 Click the links below to jump to corresponding sections. We recommend starting with Quick Start; for detailed customization, see Configuration Guide.

• Thanks to everyone who stars the project — fork what you desire, star what I desire, both are great 😍 and the best support for open source spirit.

👉 Click to expand: Acknowledgments (Angel Round Honor List 🔥73+🔥)

Early Supporters Acknowledgment

💡 Note:

1. About the list: The table below records supporters from the early (angel) phase. Due to manual tracking, omissions or incomplete records are possible — if you are missing, it is unintentional, and we kindly ask for your understanding.
2. Future plans: To focus limited energy on code and feature iteration, this list will no longer be manually maintained from now on.
   Every support, whether listed or not, is the foundation on which TrendRadar stands today. 🙏

Infrastructure Support

Thanks to GitHub for the free infrastructure — the biggest prerequisite for this project’s one-click fork convenience.

Data Support

This project uses the API from the newsnow project to fetch multi-platform data. Special thanks to the author for providing the service.
After contacting, the author indicated there is no need to worry about server load, but this is based on their goodwill and trust. Please:

• Go to the newsnow project (https://github.com/ourongxing/newsnow) and give it a star
• When deploying via Docker, control the push frequency reasonably — don’t overuse it.

Promotion Support

Thanks to the following platforms and individuals for recommendations (in chronological order):

• Little Known Software — Open source software recommendation platform
• LinuxDo Community — Gathering place for tech enthusiasts
• Ruan Yifeng Weekly — Influential weekly in tech circles

Donor Support

Thanks to those who provided financial support — your generosity has turned into snacks and drinks beside the keyboard, accompanying every iteration of the project.
About the return of the “one-yuan like”:
With the release of v5.0.0, the project has entered a new phase. To support the growing API costs and caffeine consumption, the “one-yuan like” channel has been reopened. Every bit of your kindness will be converted into tokens and momentum in the code world. 🚀
Go Support

🪄 Sponsors

Open slot

❤️ Found it useful? Support it

If TrendRadar has captured value for you, consider fueling its evolution.
Any amount is welcome — even 1 yuan encourages open source. Feel free to leave a note with your tip ( ́▽`ʃ♡ƪ)

🤝 Secondary Development & Attribution

If you use or reference this project’s ideas or core code in your project, we warmly welcome you to note the source and include a link to this repo in your README or documentation.
This helps with ongoing maintenance and community growth — thank you for your respect and support! ❤️

💬 Communication & Feedback

• GitHub Issues: For specific technical issues. When asking, provide complete info (screenshots, error logs, etc.) for quick troubleshooting.
• WeChat Public Account: We recommend discussing in the comment section under related articles. If you must message the backend, liking/recommending the article first is the best “door opener” — I can feel the goodwill on the backend! ( ́▽`ʃ♡ƪ).
• QQ Group: Follow the WeChat account and reply “交流群” to join. Whether you’re an AI newbie or a hardcore developer, looking for technical help or sharing tinkering stories, you’re welcome. The group focuses on mutual help and idea exchange. Please read the group notice first; when asking, describe the problem clearly with screenshots, and members will help when available — their practical experience is often faster and more comprehensive than mine alone 🤝

Friendly reminder:
This project is open source and non-commercial. Treat the author as a friend, not customer service — communication will be more efficient!

📝 Changelog

📌 View the latest updates: Original Repo Changelog

• Tip: Check the Historical Updates for specific functional content.

2026/05/23 - v6.8.0

• HTML Report Comprehensive Enhancement: Added report metadata display (generation time, data source, version number), automatic dark mode adaptation, improved tab bar interaction, trend arrow visualization — browser reading experience greatly improved.
• Version Check CDN Multi-source Fallback: Version check endpoint now supports automatic fallback across multiple CDN sources (GitHub → jsDelivr → Cloudflare, etc.), ensuring stable update prompts even in mainland China network environments.
• Display Region Switch Effective: HTML reports and emails now correctly respect display.regions.ai_analysis and display.regions.standalone switches — disabled regions are not rendered.
• Export Button Fix: Fixed an issue where the dropdown menu icon disappeared after clicking the export button.
• Markdown Export Fix: Fixed JS newline escape error in Markdown export of HTML reports.

2026/02/09 - mcp-v4.0.0

• 🔥 AI Messages Pushed to All Channels: AI-written content can be pushed with one click to Feishu, DingTalk, Telegram, Email, and 9 other channels. Markdown is automatically adapted to each platform’s format — no need to worry about formatting differences.
• New Format Strategy Guide: Added get_channel_format_guide tool that tells the AI which formats each channel supports and their limitations, resulting in better-formatted content.
• Smart Batch Sending: Long messages are automatically split according to each channel’s byte limit (Feishu 30KB, DingTalk 20KB, etc.), with configuration read from config.yaml.
• Fixed Channel Misdetection: ntfy is no longer falsely reported as “configured” due to default address.
• Code Reuse Optimization: Batch processing functions directly reuse TrendRadar core modules instead of reimplementing.

👉 Click to expand: Historical Updates

2026/05/15 - v6.7.0

• Markdown Export: Added Markdown format in report export dropdown — generates structured text with links, suitable for LLM reprocessing and cross-platform sharing (#1121 (https://github.com/sansan0/TrendRadar/issues/1121)).
• RSS guid Deduplication: Added guid field in RSS storage; deduplication priority changed to guid > url, preventing duplicate entries due to URL changes for the same article.
• Empty Title Protection: Added fallback logic in parser, render layer, and translation backfill to ensure entries without titles display correctly.
• Translation Quality Enhancement: Translation prompt now requires preserving numbering order; empty translation results no longer overwrite original titles.

2026/03/28 - v6.6.0

• HTML Report Browser Enhancement: Opening reports in browser now automatically switches to wide layout; keyword groups and standalone sections support tab-based quick switching; search box provides real-time filtering of news titles. Email clients still display original narrow layout — zero regression.
• Dark Mode: One-click theme toggle, automatically remembers preference, suitable for nighttime reading.
• One-Click Copy News: Hover over news number to copy title and link for quick sharing.
• Export Optimization: Full-page and segmented screenshot options merged into dropdown export button; screenshots automatically restore clean layout.
• Keyboard Shortcut System: Supports W for wide toggle, D for dark mode, / for search, ? for shortcut help.
• Reading Progress Bar: Real-time reading progress displayed at top of page.

2026/03/12 - v6.5.0

• AI Smart Filtering System: No more manual keyword setup! Write your interests in natural language in ai_interests.txt (e.g., “I want to see news about AI and new energy”), and AI automatically extracts