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!

We currently have two styles: lambda calculus based pieces (we depict the lambda/Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate. I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.

We are 200% out of our comfort zone (and love it): I know nothing of front end dev, payments, or anything like that. The diamond district in New York is a neighborhood we normally actively avoid, but if you are forced to go there it is fascinating (people examining diamonds on the corner of the street, others in fur coats in summer straight out of a mafia movie...), and especial marketing. Jewelry is a completely saturated business (luckily we are not doing this to pay the rent); we think we have a unique angle, but we are still figuring out the target audience (if there is one), how to advertise, etc.

Any ideas on marketing are welcome.

Store: https://studio-galois.com/

When? Is a timeline game I've been working on for a bit. It's a board game I love playing with my family and I wanted a slicker mobile version I could play with them.

It's a PWA, not a native app over at https://fringeflypost.com/ (or you can go directly to https://fringeflypost.com/shows to browse if you don't want to make an account.)

AI is making it possible to go after bigger clients so the strategy is to focus on marketing and going upmarket. A lot of new features to add and things to learn as you move up to bigger customers with larger contracts!

[https://www.zigpoll.com]

https://github.com/smol-machines/smolvm

- A Markdown parser/renderer (https://github.com/andrewjk/allmark). The TS version of this was hand written and the other versions are AI translations.

- A Git client (https://github.com/andrewjk/gitologist) and a diffs parser/renderer (https://github.com/andrewjk/differator). These were vibe coded in TS, checked and then AI translated.

I’ve used these libraries to build a native Mac Markdown notes app (https://staunchapps.com/stash) and a JS script launcher (https://staunchapps.com/launch).

I bought that printer in order to print parts for two other projects: a baby monitor (security camera) and a hat-mounted teleprompter monocle. Both using COTS part and running Yocto-based open source images. All affordable products in both of those sectors are completely untrustworthy or otherwise unsuitable for my requirements, since one of which is total replacement of the firmware with my own custom versions.

In my day job, I am a principle embedded engineer consultant working on distributed embedded systems, so all of the above software will be relatively easy.

The mechanical work will be the most challenging, as I am presently only using OpenSCAD. I would entertain suggestions for alternative open source CAD solutions, but I hope to recruit a ME (or two!) to help drive that portion of the work to completion.