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Source channel @githubtrending · Post #15233 · Oct 17

#vue#chatbot#macos#rust#tauri#tsx#vue3#webview#windows#windows_10#windows_11 HuLa is a modern, open-source instant messaging app built with Tauri, Vite 7, Vue 3, and TypeScript, which means it’s fast, secure, and works smoothly across Windows, macOS, Linux, iOS, and Android[1]. It offers all the features you expect from a messaging app—private and group chats, message recall, read receipts, emojis, file sharing, and even AI chatbot integration—plus extras like dark/light themes, customizable skins, and system tray notifications. Because it’s open source, you can trust its transparency and even contribute to its development. The main benefit is having a lightweight, cross-platform messaging tool that’s both easy to use and highly customizable for your personal or team communication needs. https://github.com/HuLaSpark/HuLa

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ALL About RSS

@AboutRss · Post #876 · 11/19/2020, 01:00 AM

FeedIt trainable RSS reader 登陆 iOS APP Store 频道提及过的机器学习型 #RSS阅读器#FeedIt 在其安卓版和线上版后发布了 #iOS 版: https://apps.apple.com/us/app/feedit-rss-reader/id1538541609 发现于 https://twitter.com/RSSCircus/status/1328955086152806401

ALL About RSS

@AboutRss · Post #840 · 10/13/2020, 01:00 AM

FeedIt :利用机器学习进行文章喜好排序的在线 #RSS阅读器 还记得在 Reddit 上看到个贴,说 Ta 唯一不喜欢 RSS 订阅的一点是:阅读器把所有文章一视同仁,不能告诉 Ta 哪个重要、哪个不重要。回帖里自然有人教育道:RSS 订阅的特色就是没有谁帮你决定哪个重要、哪个不重要。 当然,该帖里也提到,除了关键词过滤或给 Feeds 按重要程度分组外,有几家阅读器可以给文章打分,并以分数改变其排序。比如 #TTRSS 的 Scoring 。 现在,更 fancy 的来了。 #FeedIt 让你可以通过给文章以及文章关键词打“赞”和“踩”来用机器学习训练阅读器对你喜好的把握;一段时日之后,就可以让阅读器按你的喜好来给文章排序了。对于那些订阅很多 Feeds 的玩家,说不定也是条路。 官网在此,自带 #Android App : https://feedit.sk/ 发现于 Reddit 。到底是高大上还是本末倒置,欢迎留言讨论。