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FeedSense

A private recommendation system built from your own sources

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Hi HN,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" (https://x.com/karpathy/status/2018043254986703167). Around the same time, Marc Andreessen shared his information source: 25% X, 25% podcasts with practitioners, 25% conversations with AI, 25% old books (https://x.com/pmarca/status/2030949039345467570).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.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 choseTestFlight beta on iOS: https://testflight.apple.com/join/56VPEeeShttps://feedsense.ccHappy to talk architecture or the recommendation approach if anyone's curious.

HN · launched Apr 10, 2026 · 7 upvotes (top 61%) · 0 views

Niche: rss and newsletter readers · 63 launches, 8 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • B2C
  • AI feature
  • Hobby / open-source project

Source listing ↗

Could you build this?

Yes It is a personal RSS feed aggregator and recommendation system that uses embeddings and standard LLM/vector search APIs to score and rank articles against user preferences.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one : 174 launches clear the similarity bar, closest 8 shown.

Attention rank: #93 of 175 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 163 days after the earliest competitor.

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