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Life & fun · February 21, 2012

AC

A client-side Bayes classifier for Hacker News

A client-side Bayes classifier for Hacker News launched on February 21, 2012 with 119 votes, #14 of 360 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.

Visit rogerbraun.net ↗Alternativestop 4% of February 2012

In plain words

A client-side Bayes classifier that learns to filter Hacker News stories based on user preferences. The tool runs in the browser and trains itself on articles the user marks as interesting or uninteresting, then predicts relevance for new submissions. It's designed for Hacker News readers who want to personalize their feed without relying on server-side processing or accounts.

written from the facts on this page · September 2026

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