Back to browse
FeedSense – A private recommendation system built from your own sources

FeedSense – A private recommendation system built from your own sources

by langtang1996·Apr 10, 2026·7 points·1 comment

AI Analysis

MidCozyNiche Gem

RSS reader with recommendation ranking, but Feedly and Inoreader already do this.

Strengths
  • Private by design - no algorithmic manipulation from external platforms.
  • Quality scoring based on read history prevents rage-bait from hijacking attention.
  • Inspired by Karpathy's RSS advocacy gives it credibility with tech audience.
Weaknesses
  • RSS reader market is saturated with Feedly, Inoreader, NetNewsWire, and Reeder.
  • Recommendation algorithm details are vague - unclear what makes it better.
Category
Target Audience

Knowledge workers, heavy RSS users, people curating information diets

Similar To

Feedly · Inoreader · NetNewsWire

Post Description

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 chose

TestFlight beta on iOS: https://testflight.apple.com/join/56VPEeeS

https://feedsense.cc

Happy to talk architecture or the recommendation approach if anyone's curious.

Similar Projects