If you read scientific papers, you know how hard it is to keep up with the hundreds of new ones published every day on arXiv and other preprint servers. So Aftergleam is a private app that learns your interests locally on your phone. Your data never leaves your device, and the app shows you the relevant new papers in your field: computer science, engineering, biology, medicine, chemistry, law and more. You can read offline papers in PDF or Reader mode.
Here’s the website and the code. Feedback is welcome, and I hope you enjoy the app as much as I do!
https://github.com/jakobkreft/Aftergleam
Does this work for humanities? Is this slopware?
Definitely entirely LLM-generated with minimal review. The “docs” are literally just the LLM “plans”.
Unfortunate, it’s a nice idea (albeit one that makes more sense on desktop, and for most fields only pulling from their respective arXiv is more or less useless).
huh, that’s a quick verdict, let me explain. I’m glad you like the idea! It doesn’t only pull from arXiv, it reads 8 preprint servers. The value comes from recommendations made by a small classifier trained on your phone from what you read or upvote/downvote (tf–idf and logistic regression). Yeah the docs are ai summaries and I included them in the repo. You can read how the algorithm works and what different things I tried in the “The model” section here: https://aftergleam.app/how-it-works
Not really. The humanities rarely use preprint servers, so there’s little to draw from. It covers computer science, physics, mathematics, statistics, engineering, economics and finance, biology, medicine, chemistry, psychology, social science, education and law, 114 subjects in all.
How I use AI in making it is transparent here and same rule applies for contribution: https://aftergleam.app/ai-notice
