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dan_h

Re:Making RSS More Fun on Friday December 05, 2025 @09:28AM (#46161708)
I've felt similarly about RSS for a while now--I've made a ton of attempts to build my giant collection of subscriptions but always just burn out on maintaining it. Another issue is when I try to get anyone even slightly non-technical to use RSS they bounce off immediately; it sadly just seems too complex/too much overhead for a large number of users.

I've been trying to build a site/app that adds some features mentioned in this post ("upvoting" based on views, tiktok-style video experience in the app, etc), but it's still very much a WIP and doesn't exactly fix the complexity problems yet. Still, I get encouraged seeing more projects like the OPs that hopefully bring about some sort of RSS resurgence.

[0] https://jesterengine.com

Show HN: Jester News - An RSS/Atom Companion App

https://jesterengine.com/pages/app

I'm happy to announce that Jester News is finally available as a companion app to https://jesterengine.com.Jester is a free (with a premium tier) web-based RSS/Atom reader that sprinkles some AI features on top to help with topic discovery and content consumption, for example:* Jester groups similar articles via similarity search into "Stories" to make finding articles on a specific topic/event...

( Read More... | no comments | 3 points | on HN )
Re:AI assistants misrepresent news content 45% of the time on Wednesday October 22, 2025 @01:28PM (#45672369)
I've has a similar experience with my own project that summarizes rss articles--the results have largely been pretty good, but I found using a "reasoning" model had much better results.
Re: on Monday October 20, 2025 @07:38PM (#45650777)
This is very similar to how I've approached classifying RSS articles by topic on my personal project[1]. However to generate the embedding vector for each topic, I take the average vector of the top N articles tagged with that topic when sorted by similarity to the topic vector itself. Since I only consider topics created in the last few months, it helps adjust topics to account for semantic changes over time. It also helps with flagging topics that are "too similar" and merging them when clusters sufficiently overlap.

There's certainly more tweaking that needs to be done but I've been pretty happy with the results so far.

1: jesterengine.com

Show HN: Jester – An RSS/Atom Reader and Content Management Tool

https://jesterengine.com/

Jester helps you follow and organize feeds, create AI text and audio digests (with sourcing), build custom feeds from non-RSS sources, and more.It is built to have most of the features you would expect from a modern RSS reader (with more on the way), but with an eye towards feed discoverability through popularity metrics and topic tagging.You can try it out with one click (no email...

( Read More... | no comments | 4 points | on HN )