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Show HN: FeedSense – A private recommendation system built from your own sources
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.
FeedSense addresses a timely pain point regarding information quality and algorithmic fatigue, but currently lacks a clear moat or significant traction. While the 'private recommendation' angle is compelling for high-value knowledge workers, the product faces intense competition from established readers like Readwise and Feedly, with a difficult path to scale beyond a niche utility.