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.
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.
Right now, I’ve indexed papers from a few recent ML conferences to see if this might be useful for others too.
No signups required and it’s totally free. You can mark your favorites and add text annotations, which are saved on your device.
Would love to hear your feedback!
GodelNumbering•9mo ago
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.
Again, really cool idea that helps people learn things instead of wasting time on same old tiktoks/reels. Nicely done, OP!
ykumards•9mo ago
I’ll definitely try to add audio. Local TTS models are getting better and I guess I can feed the headline to create a podcast-like feed
GodelNumbering•9mo ago
Best of luck, world needs more content like yours!