Ask HN: What Are You Working On? (December 2025)

I’m working on an open-source thing that lets you co-draw diagrams with an LLM inside draw.io/diagrams.net.

You can ask the model to rough out an AWS/GCP/Azure architecture, but the key part is the loop: you still have the normal editor, so you drag boxes, rename stuff, add your own bits, and then say things like “clean this up”, “split this service out”, “add a read replica here”. The AI edits the real draw.io XML, it’s not just generating a picture, so you and the model are basically sharing the same canvas.

It can also try to rebuild a diagram from a screenshot/PDF and then you keep iterating together in chat + manual edits.

Recently I added “bring your own API key” for a bunch of providers and support for uploading PDFs/text to turn existing docs into diagrams.

Repo (just crossed ~10.2k): https://github.com/DayuanJiang/next-ai-draw-io Demo: https://next-ai-drawio.jiang.jp/

If you live in drawio a lot, I’d be curious where this breaks down or feels more annoying than just doing it by hand.

AI and ML ecosystem in Elixir. Solo mission currently. Early stage. Backlogged. Open to help: contact@nsai.online

I've been building Hypertrophy, an iOS-native workout app. I've always wanted a simpler, cleaner experience than Strong (on which I've done over 1000 workouts) so I built my own.

I've tried to make it look and feel at home in iOS and I like to think of it as a Notes app for the gym—it does very few things and does them well.

It's completely free with no ads because I'm not a fan of how other workout apps charge you for a basic workout experience.

I've just finished up the Import from Strong feature and would love any feedback on it!

https://apps.apple.com/au/app/hypertrophy-gym-workout-log/id...

Sounds interesting and challenging. There's something similar, although not the build part just the modular aspect of it inspired by CPAN called CCAN: https://ccodearchive.net/. Very few people know about it, I believe, and it goes way back. I'm not involved with that project, though. Good luck!

Just released the browser extension for https://unrav.io . It transforms any article, paper, or YouTube video into your perfect view (infographic, TL;DR, mind map, podcast, etc) with one click.

It’s for people who feel smart but overwhelmed, drowning in tabs, skimming everything, remembering nothing.

You don’t need more information. You need clarity.