You can subscribe to articles posted by a user as an RSS feed: https://hnrss.org/submitted?id=bengtan https://hnrss.org/submitted?id=bengtan The problem though

You can subscribe to articles posted by a user as an RSS feed: https://hnrss.org/submitted?id=bengtan https://hnrss.org/submitted?id=bengtan The problem though is that it is hard to find users you want to subscribe to. You need to inspect their past submissions to see if the signal-to-noise ratio of that user is high enough for you. If you oversubscribe to too many users then your subscriptions will be full of noise. In my hobby project https://linklonk.com https://linklonk.com I want to solve this problem of discovering users and feeds that have a high signal-to-noise ratio for you. It works similar to HN - users submit links and upvote/downvote them. But the way your ratings are used is different. When you upvote something - you get connected to other users that upvoted the same article/post. The more shared upvotes you have with someone => the stronger you are connected to them => the more weight their other upvotes have for you. If you downvote something - your connections to those who upvoted that item become weaker, their other upvoted have less weight for you. Your connections to other users capture how useful their previous recommendations have been for you. And over time you get connected to the best content curators for you. All this done automatically as you rate content. You do not need to manually manage who to subscribe to/unsubscribe from. The above mechanism works not only for users but also for RSS feeds that posted the content you upvoted. This way LinkLonk works as an RSS reader that prioritizes based on your content ratings.