展示HN：FeedSense – 一个基于您自己来源的私人推荐系统
嗨，HN，
有两件事激励我去构建这个：Andrej Karpathy 最近谈到回归 RSS 订阅——“更高质量的长篇内容，减少那些旨在挑衅的垃圾信息”（[链接](https://x.com/karpathy/status/2018043254986703167)）。与此同时，Marc Andreessen 分享了他的信息来源：25% 来自 X，25% 是与从业者的播客，25% 是与 AI 的对话，25% 是旧书（[链接](https://x.com/pmarca/status/2030949039345467570)）。
这让我意识到，控制你接收的信息是多么重要。但我已经习惯了这种信息流式的阅读习惯（每个社交媒体都是这样的）。我只是不想让随机的表情包或愤怒诱饵突然抢走我的注意力。
因此，我构建了 FeedSense——一个私人推荐系统。你可以选择你的信息来源，它只会从这些来源构建一个“为你推荐”的信息流。该系统会考虑内容质量、发布时间和你的阅读历史（仍在调试中），但绝不会显示你未选择的来源的内容。
iOS 上的 TestFlight 测试版：[链接](https://testflight.apple.com/join/56VPEeeS)
[链接](https://feedsense.cc)
如果有人对此感兴趣，我很乐意讨论架构或推荐方法。
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Hi HN,<p>Two things inspired me to build this: Andrej Karpathy recently talked about going back to RSS feeds — "higher quality longform and a lot less slop intended to provoke" (<a href="https://x.com/karpathy/status/2018043254986703167" rel="nofollow">https://x.com/karpathy/status/2018043254986703167</a>). Around the same time, Marc Andreessen shared his information source: 25% X, 25% podcasts with practitioners, 25% conversations with AI, 25% old books (<a href="https://x.com/pmarca/status/2030949039345467570" rel="nofollow">https://x.com/pmarca/status/2030949039345467570</a>).<p>This made me realize how much it matters to control what you let in. But I've used to the feed-style reading habit (each social media does like this). I just don't want a random meme or rage bait to hijack my attention out of nowhere.<p>So I built FeedSense — a private recommendation system. You pick your sources, and it builds a "For You" feed from only those sources. The system takes content quality, publish time, and your read history into account (still tuning it), but it will never surface anything outside the sources you chose<p>TestFlight beta on iOS: <a href="https://testflight.apple.com/join/56VPEeeS" rel="nofollow">https://testflight.apple.com/join/56VPEeeS</a><p><a href="https://feedsense.cc" rel="nofollow">https://feedsense.cc</a><p>Happy to talk architecture or the recommendation approach if anyone's curious.