Ask HN: What are you working on? (October 2025)

Very nice, looking forward to a deal with Décath' ;) How hard is it to make it compatible with the various motors when there is communication involved?

I've been wondering for a while if the display on ebikes could also be a more open and durable part of it.

Porting my binary & decimal palindromes[0] finding code[1] to CUDA, with which I had no experience before starting this project.

It's already working, and slightly faster than the CPU version, but that's far from an acceptable result. The occupancy (which is a term I first learned this week) is currently at a disappointing 50%, so there's a clear target for optimisation.

Once I'm satisfied with how the code runs on my modest GPU at home, the plan is to use some online GPU renting service to make it go brrrrrrrrrr and see how many new elements I can find in the series.

[0] https://oeis.org/A007632

[1] https://github.com/ashdnazg/palindromes

I get that you say it is for advanced users, but I think a "how to use this" link with a video in it that explained a few things would probably open it up to a lot more users.

There's so much more to do with tools like this, and I'm really glad to see it.

Great concept. I look forward to the Show HN.

I’m working on a performance capture library for Python because I often need to know the performance of backend systems I maintain. I frequently build tooling to capture performance and save it for later analysis. I/O operations get costly when writing lots of data to disk and creating good real-time analytics tools takes a lot of my time. I wanted a library that captures real-time performance analytics from Python backends.

https://github.com/jakeroggenbuck/kronicler

This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.

To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk.

You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.

I'm still working on features like concurrency and other overall improvements. I would love some feedback to help shape this product into something useful for you all.

Thanks! - Jake