

Every recommendation engine claims to filter noise; HackerTube actually starts from the noise and shows its work. The pipeline scanned more than one hundred thousand YouTube links across every Hacker News comment from 2007 to 2026, then sifted ruthlessly: a video survives only if at least three different people linked it with real commentary in at least three different months. One-off hits and drive-by links fall away, leaving the HackerTube catalog of 6,454 videos where every entry has earned its place.
The sifting goes further. An AI model read all 39,834 linking comments, judged whether each was a recommendation or something else, and wrote a summary card for every video on HackerTube covering why HN users like it, its type and level, and whether it has aged well. HackerTube's ranking rewards videos recommended across many separate months, so HackerTube surfaces durable quality instead of viral spikes.
Browsing tools complete the filter: semantic search that grasps topics rather than keywords, 150 topic categories across 16 areas, playlists, and a personal feed that learns from your likes. HackerTube is free, works without an account, keeps your data in your browser, and links every video back to the exact HN comments that recommended it. It is signal, with sources attached.
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