This project originally came from a trip to Korea where I learned about personal color analysis. The in-person sessions are interesting but often cost a few hundred dollars, so I wrote down the idea years ago of trying to approximate it with software.
I finally built a quick version as a learning project.
There’s nothing particularly sophisticated happening under the hood. The goal was mostly to get more comfortable working with modern AI tooling and to practice shipping small things again after a long stretch working inside a startup.
If anyone experiments with it, I’d be especially interested in:
• cases where the color analysis is clearly wrong
• UX things that feel confusing or clunky
• obvious technical improvements
• or just general thoughts on whether the idea is interesting at all
If the agent builds entity pages incrementally while reading, how do you prevent early incorrect assumptions about relationships or attributes from propagating through the entity graph? Is there support for belief revision?
if you have any paperwork related to your installation we would love to see it. The standard installation pack (diagrams, blueprints, system info, tech specs, etc...) is what we are most interested in. You can drop anything you are comfortable sharing here: https://driveuploader.com/upload/UdA5Ev9YFP/
2018 still works! We're most interested in the paperwork associated with the install. If you are willing to share any documents related to your installation you can do so here: https://driveuploader.com/upload/UdA5Ev9YFP/
Interesting. I've always heard that $100k MRR is the minimum metric for an A but I guess that only applies to SaaS companies. Looking forward to hearing about YCA