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AI · May 24, 2023

Yakread – An RSS reader powered by machine learning

This is a web-based reading app I've been working on since August. The main differentiator is that Yakread uses machine learning to rank the articles in your feed: as you click on articles from a particular RSS/newsletter subscription, other articles from that subscription will tend to be ranked higher in the future (via a bandit algorithm). Yakread also uses ML to recommend articles that other users have read, so your feed will have articles in it even before you sign up and add your own subscriptions. For the recommendations, I'm using the collaborative filtering implementation from…

Yakread – An RSS reader powered by machine learning launched on May 24, 2023 with 18 votes, #1,575 of 4,910 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.

In plain words

Yakread is a web-based RSS reader that uses machine learning to personalize the reading experience. It ranks articles based on user click behavior through a bandit algorithm, so frequently-clicked feeds appear higher in the feed over time. The app also employs collaborative filtering to recommend articles that other users have engaged with, populating feeds with suggestions even before users add their own subscriptions. This combination of personalized ranking and community-based recommendations helps users discover relevant content automatically.

written from the facts on this page · September 2026

From the sources

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In the maker’s words, at launch

This is a web-based reading app I've been working on since August. The main differentiator is that Yakread uses machine learning to rank the articles in your feed: as you click on articles from a particular RSS/newsletter subscription, other articles from that subscription will tend to be ranked higher in the…

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