Hello everyone!<p>I always found it hard to find new research papers outside of my usual bubble. I thought a random feed (with no recommendation algorithms) might be a fun way to explore. But I also didn’t want to waste time on completely unrelated stuff — so the idea of a fast, swipeable format came to mind.<p>Wikitok was a real inspiration! But Arxiv and Open Review APIs weren’t as robust as Wikipedia, so I pulled the papers into a Postgres backend.<p>Right now, I’ve indexed papers from a few recent ML conferences to see if this might be useful for others too.<p>No signups required and it’s totally free. You can mark your favorites and add text annotations, which are saved on your device.<p>Would love to hear your feedback!
This is awesome! Thanks for making this.<p>One feature that would make it super useful is to have 30-60 seconds of audio (AI generated) that tells me enough high level info about the paper to know whether I want to go deeper (and 'save for later' button to go with). That way a user can use it while commuting or driving.<p>Again, really cool idea that helps people learn things instead of wasting time on same old tiktoks/reels. Nicely done, OP!
> <i>I thought a random feed (with no recommendation algorithms) might be a fun way to explore.</i><p>I expect some areas like biology to be "overrepresented", and get too few math papers. Try it for some time, and consider adding some weights to it.