To me, part of what makes it feel hollow is that if we were to ask you about any of those layers, and why they were chosen or how they worked, you probably would stumble through an answer.

And for something that is, as you said, impressive to you, that's fine! But the spirit of Show HN is that there was some friction involved, some learning process that you went through, that resulted in the GitHub link at the top.

Idk.

I saw this come out because my boss linked it as a faster chart lib. It is ai slop but people loved it. [https://news.ycombinator.com/item?id=46706528]

I knew i could do better so i made a version that is about 15kb and solves a fundamental issue with web gl context limits while being significantly faster.

AI helped do alot of code esp around the compute shaders. However, i had the idea of how to solve the context limits. I also pushed past several perf bottlenecks that were from my fundamental lack of webgpu knowledge and in the process deepened my understanding of it. Pushing the bundle size down also stretched my understanding of js build ecosystems and why web workers still are not more common (special bundler setting for workers breaks often)

Btw my version is on npm/github as chartai. You tell me if that is ai slop. I dont think it is but i could be wrong