jujuyaya/juya-ai-daily — explained in plain English
Analysis updated 2026-05-18
Subscribe to daily.juya.uk/rss.xml to get AI news digests delivered directly to a feed reader.
Browse every past edition as a plain Markdown file directly on GitHub.
Watch the same daily briefings as videos on the project's Bilibili or YouTube channels.
| jujuyaya/juya-ai-daily | mad1na2010/madinaa | refactoringhq/portent | |
|---|---|---|---|
| Stars | 21 | 22 | 20 |
| Language | CSS | CSS | CSS |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 2/5 | 1/5 |
| Audience | general | developer | writer |
Figures from each repo's GitHub metadata at analysis time.
Reading the archive requires no setup at all, only reusing the publishing pipeline needs gitblog.
This repository is an archive of a daily AI news digest called "Juya AI Daily" (橘鸥AI早报). Each day, an AI-assisted summary of artificial intelligence news is published, and this project saves every edition as a Markdown file and automatically turns them into an RSS feed that people can subscribe to. The idea is simple: instead of scrolling through scattered sources for AI news, subscribers can follow one RSS link (daily.juya.uk/rss.xml) and receive curated daily briefings directly in their feed reader. The content is generated with AI assistance, so the repository notes that it may contain errors and recommends checking original sources for anything important. The project also publishes a website at daily.juya.uk and a companion feed reader built by a community contributor. For people who prefer video, there are companion channels on Bilibili and YouTube where the same daily AI briefings are presented in video form. A practical note in the README explains that the original GitHub account behind this project was banned, so this is a fresh repository. Old issues and the previous subscription link are no longer accessible, which means longtime followers need to update their subscriptions to the new address. On the technical side, the project builds on an open-source blogging tool called gitblog, which handles the conversion of GitHub Issues into Markdown archives and RSS output. The code itself is MIT licensed, meaning anyone can copy and adapt the scripts. The article content is under a Creative Commons license that allows sharing with credit but prohibits commercial use. In short, this is a low-friction daily reading tool for people following AI news, delivered via RSS and backed up in plain Markdown files that anyone can browse directly on GitHub.
An archive of a daily AI news digest, published as Markdown files and automatically converted into a subscribable RSS feed.
Mainly CSS. The stack also includes CSS, gitblog, RSS.
The code is MIT licensed, so anyone can copy and adapt it, the article content itself is under a Creative Commons license that allows sharing with credit but not commercial use.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.