#36 · Primary category: Writing & Content
ai-trend-publish
TrendPublish: Full-auto AI content generation & publishing for WeChat, multi-source scraping (Twitter/X, websites), smart analysis/ranking, scheduled posts, multi-template, using DeepseekAI, Qianwen, Xunfei models; Node.js/TypeScript.
Project last updated:08/04/26
GitHub Stars
3.2K
Forks
439
Contributors
8
License
MIT
Why we included this project
Anyone who runs a daily-publishing WeChat official account knows the real bottleneck: turning a pile of feeds into one reliable, well-written article without burning hours. TrendPublish automates that pipeline by pulling candidates from sources like RSS, Hacker News, arXiv, and Twitter/X, then using LLMs to cluster and rank them, fill in missing evidence, draft the headline and body, review quality, and render WeChat-compatible HTML. What sets it apart from an RSS summarizer is the emphasis on reviewability: every run leaves step timelines, quality reports, rendered HTML, images, and config snapshots, so you can see why a piece was chosen and where to step in. A dry-run mode previews everything before anything reaches WeChat, the dashboard handles multi-account publishing with per-account tone and positioning, and it runs locally, in Docker, or on Cloudflare Workers.
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