Ask HN: What are you working on? (August 2026)

My core hypothesis is that LLMs are trained to write consistent code (good for a billing function), but they also express design through code, resulting in consistent design as well.

Diffusion models are just now good enough to do UI, and are trained on a much wider set of visual data, resulting in more unique outputs. LLMs are now good enough to convert images to code very effectively, so the end result is better even though you have to do a conversion.

Here's a page detailing the standard flow: https://diffui.ai/blog/show-hn

And here are a couple sample sites built with it:

https://html.non.io/tarot

https://html.non.io/neonRamen (note - not optimized for mobile)

And here are a couple files showing the designs (requires sign in):

https://diffui.ai/app/canvas/9e03f5c2-91c5-4f96-8f08-b8086e5...

https://diffui.ai/app/canvas/95934269-5dc8-4145-a33a-d3a4dc2...

Happy to answer any q's!

Github: https://github.com/devlensio/devlensOSS https://devlens.io

Google Maps is great for route planning and looking up things you already know about, but it's pretty useless for discovery. Sometimes you just want to know what places are actually worth going to as a tourist or backpacker.

It's the kind of information you'd traditionally get from guide books, but in a format that IMO makes a lot more sense - a map. Right now the scores and content are seeded by an AI, but the idea would be for these to eventually be user-derived.

It's still pretty early and I have a WIP native app which makes it a lot nicer to interact with on mobile, but it would be awesome to get people trying it out already. It's free to use, with nothing paywalled or anything like that. I'd only think about some kind of monetization if it actually gets some traction. Would love any feedback!