Live data from Hacker News

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

news.ycombinator.com

101–110 of 1001 posts

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

#101

Building a tool that automatically generates living infrastructure diagrams from your IaC files and turns them into real-time incident dashboards. Think Figma meets Datadog - beautiful visualization that updates during outages to show you exactly what's failing and how to fix it. The insight: your architecture diagram shouldn't be a stale PNG in Confluence. It should be your war room during incidents. Going to be ava…

Mind sharing a link? That sounds really interesting!

I'm sorry, not quite ready to share publicly yet, but happy to chat about your incident response workflow. Feel free to email me.

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

#105
Working on a new interface for learning with LLMs that creates courses on any topic.

https://periplus.app

The goal was to make the learning material very malleable, so all content can be viewed through different "lenses" (e.g. made simpler, more thorough, from first principles, etc.). A bit like Wikipedia it also allows for infinite depth/rabbit holing. Each document links to other documents, which link to other documents (...).

I'm also currently in the middle of adding interactive visualizations which actually work better than expected! Some demos:

https://x.com/mato_gudelj/status/1975547148012777742

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

#108
post #31

Currently a one-man side project: https://laboratory.love Last year, PlasticList found plastic chemicals in 86% of tested foods—including 100% of baby foods they tested. Around the same time, the EU lowered its “safe” BPA limit by 20,000×, while the FDA still allows levels roughly 100× higher than Europe’s new standard. That seemed solvable. Laboratory.love lets you crowdfund independent lab testing of the specific p…

First of all, really cool initiative! It's interesting that a bunch of the funded products have been funded by a single person. Do you know if it's the producers themselves? Worried rich people?

Given the current reach of the project (read: still small!), I suspect for awhile yet the majority of successfully funded testing will be by concerned individuals with expendable income. It is cheaper and much faster to go through laboratory.love than it would be to partner with a lab as an individual (plus the added bonus that all data is published openly).

I've yet to have any product funded by a manufacturer. I'm open to this, but I would only publish data for products that were acquired through normal consumer supply chains anonymously.

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

#110
An open source website I built to explain tensor functions in PyTorch: https://whytorch.org

It makes tricky functions like torch.gather and torch.scatter more intuitive by showing element-level relationships between inputs and outputs.

For any function, you can click elements in the result to see where they came from, or elements in the inputs to see how they contribute to the result to see exactly how it contributes to the result. I found that visually tracing tensor operations clarifies indexing, slicing, and broadcasting in ways reading that the docs can't.

You can also jump straight to WhyTorch from the PyTorch docs pages by modifying the base URL directly.

I launched a week or two back and now have the top post of all time on r/pytorch, which has been pretty fun.

Post reply on HN