damn, so good to see this. Thank you, enjoy!
thank you, you should try it again, open settings (top right corner), click on the second option "Keywords".
i didn't want to make the onboarding screen more complicated, that is why is slightly more hidden in the settings.
Veganism spans so many fields that it works better as a keyword than a section. Add “vegan”, “plant-based” or something as keywords, and matching papers come first from every field the app covers: climate, public health, biology, law and more. I looked into it, and PhilArchive should be possible to add, so I’ll look into adding a Philosophy field.
Thanks, good suggestion! I looked into it and it should be quite easy to add. IACR ePrint has an open feed with abstracts and categories, and the metadata is free to use, so it fits the app.
Thanks, really useful feedback! I’ll look into the missing sources from that issue. It could well be a problem for environmental science and ecology too, since I’m not too familiar with those fields. If you know or find any preprint servers people in your line of work use, feel free to add them to the issue, that would help me a lot. A News tab is an interesting idea, I’ll think about it. I do want to keep it lean and focused on papers, so it would only make sense if it fits without making the app heavier or less private. I also really like how you’re using it. Starting with broader keywords and then narrowing down is something I didn’t think of, but I’m happy you tried it and made it work!
I hope you find it useful! Thank you
Wow, great! Thanks for using it! No, there’s no Gemini or any cloud AI. It’s a classic logistic regression model, all inside the app. I tested it against MiniLM, and it did just as well in my tests but would add like 35 MB, so I left it out. I also only build native Android apps, which stay much leaner than apps built with heavier cross-platform frameworks. A lot of apps could also be 10 times smaller if they didn’t include all the trackers and analytics. More details about the model: https://aftergleam.app/how-it-works
I appreciate it a lot, thanks!
oh yes that works, but I would recommend instead to use the search to find specific papers and upvote them to tune the classifier faster. Another way is to import a list of papers from your related work in .bib or .ris file. I will increase the keyword limit, can easily be more, i just didn't think it was needed. Thanks a lot! And for the feedback!
Amazing! Thank you
Oh and forgot to add, you can tweak the algorithm in the settings to put more weight on venue.
Not everything, no. All papers come from preprint servers like arXiv and bioRxiv, but many are posted after they’ve been accepted. Aftergleam shows that on the card and ranks accepted papers higher. If a paper you skipped gets accepted later, it can show it to you again.




