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…
Does a similar job
all alternatives →- ISI scraped 3B Goodreads reviews to train a better recommendation modelNov 2025 · book.sv · ▲606
Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two…
Readwise Reader, an all-in-one reading app2022 · readwise.io · ▲326Hey HN, cofounder of Readwise here. We've been working on this cross-platform reader app for about 2 years, excited to finally share it in public beta. Probably the most notable thing that makes Reader unique is that it supports almost any content type you could want to save/read/highlight: * web pages * emails/newsletters * PDFs * ePubs * twitter threads * youtube videos (with transcripts) * RSS feeds With all of your knowledge content in one place, we built powerful reading and highlighting, as well as a bunch of novel triage/organization features, so you can actually…

RSS Brain2022 · rssbrain.com · ▲139I wrote an RSS reader called RSS Brain recently. The motivate is the current RSS readers either don't sort articles by priority, which makes it hard to read posts from HackerNews and Reddit, or sort it with some "smart" algorithm which I don't trust. I also like the Google News feature that can show related story from different source, but the sources are not configurable and the algorithm is not transparent either. So with RSS Brain, I implemented these features: * Recommend related articles from the feeds of your choice. It's backed by ElasticSearch and the algorithm is described on RSS…


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