I didn't take the idea forward because it would've been a heck of a lot of (unpaid) work requiring some fundamental rethinking of the library's architecture, together with learning Rust/AssemblyScript alongside Wasm best practices, etc.
But the main thing that held me back were the bad memories I had of all the work I did when I learned about web workers and attempted something similar a few years ago. That work added a lot of complexity to maintaining/using the library, but in the end failed to deliver the speed increases I was hoping for. The best work I did in 2020 was removing the web workers and their associated complexity from the code base and instead concentrating my efforts on finding speed gains in Javascript.
I love the idea of Wasm, and have had some success in getting code that exports to Wasm - for instance, MediaPipe's Selfie Segmentation ML model - to play nicely with the library[1]. But if I ever want a really fast, Wasm-enabled 2D canvas library I think the best approach would be to build the entire thing in Rust and just have a lightweight JS API to handle the DOM and user interactions.
[1] https://codepen.io/kaliedarik/pen/PopBxBM (warning: the CodePen page will ask for permission to use your device's camera)