Thanks to everyone on F-Droid and GitHub for the support and kind words, it really means a lot! I’m happy to share that Aftergleam is now on Google Play too.
Researchers need to keep up with the hundreds of new papers posted every day on arXiv and other preprint servers. Aftergleam learns your interests locally on your phone, so your data never leaves your device, and shows you papers that matter.
It covers computer science, engineering, biology, medicine, chemistry, law and more. You can also set keywords to get notified about the exact topics you follow, and read papers offline as PDF or in Reader mode.
Google Play: https://play.google.com/store/apps/details?id=si.jakobkreft.aftergleam
Website: https://aftergleam.app/
It’s open source: https://github.com/jakobkreft/Aftergleam
I hope you enjoy and find it useful as much as I do.
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
Thanks! That was an insightful read. Didn’t know models/learning could be this efficient and small. Main reasons why I asked is, I saw another app on Reddit that mentioned learning is done locally, but others found out it was alloted to gemini on users’ phone (which the dev insisted was done locally but not really privacy respecting imo) and almost every app with such a feature was humongous. Thanks for making Aftergleam and keeping it open source