constexpr

That's the only image with a non-zero EXIF orientation. Which probably means you're using an older browser (e.g. Chrome started respecting EXIF orientation in version 81+, which I think came out 3 years ago?). You'd have to update your browser for it to display correctly.

Hello! I made this. People are talking about not wanting pictures to be initially blurry before they finish loading. I understand that too, and I'm not sure how I feel about it myself (I could go either way).

But for what it's worth, I actually made this for another use case: I have a grid of images that I want to be able to zoom really far out. It'd be nice to show something better than the average color when you do this, but it would be too expensive to fetch a lot of really small images all at once. ThumbHash is my way of showing something more accurate than a solid color but without the performance cost of fetching an image. In this scenario you'd only ever see the ThumbHash. You would have to zoom back in to see the full image.

Carto was a blast and really well made. Loved the humor and world building, and the puzzles were satisfying.

I came across one of these once without knowing about the phenomenon. It’s in Golden Gate Park near the intersection of JFK Drive and Transverse Drive. Water in the stream next to the road appears to flow uphill. Very surreal.

That comment wasn't about Go exclusively. My point was that porting single-threaded code to a native language doesn't necessarily cause huge order-of-magnitude speed gains, especially if you plan on sticking close to the original structure of the code to make porting future changes easy, but that in this specific case a port sounds likely to realize significant gains (which is very exciting!).

Shared-memory parallelism is necessary but not sufficient. Ideally you'd be able to only make some small changes in a few spots to greatly increase parallelism. I'm hopeful that TypeScript's AST parsing is a good candidate since ASTs can typically be constructed independently from the rest of the program state. Lowering and printing ASTs is also likely parallelizable. It would also be great if it was also possible to parallelize parts of the type checker somehow, but that sounds harder. I had some ideas about that in another comment. Anyway I think this means that it's likely that a port of the TypeScript compiler could realistically lead to significant speedups and may even lead to extreme speedups.

As far as language choice, it sounds like due to maintenance reasons the decision space is narrowed to native, garbage collected languages similar in object model to TypeScript but with parallelism primitives. Some candidates could be at least Go, JVM-based languages, or .NET-based languages. I think those can all be ahead-of-time compiled to a static binary? Another consideration is how easy/compact/fast/cross-platform binaries are. Go makes this trivial but I haven't used JVM or .NET AOT builds myself so I don't know how they compare in e.g. executable size or startup overhead. One advantage of picking Go is that esbuild has already demonstrated that Go is an effective choice for this problem domain, which may mean less work/research/unknowns. A disadvantage of Go here might be that the object model is different than TypeScript vs. something like Java or C#. But all else being equal the choice comes down to personal preference.

Yes that allows for shared memory. But the TypeScript compiler is written in TypeScript, and you can't put JavaScript objects (such as the TypeScript AST) in a SharedArrayBuffer. So you'd have to port the TypeScript compiler to another language that can target multithreaded WASM to do this.

You could also try sending JS objects between workers instead of using SharedArrayBuffer. But that copies the memory, which can take a significant amount of time, and of course also excludes certain kinds of advanced parallelism that require shared memory (instead of copied memory). Another drawback of using the JS worker model like this is that having multiple JS VMs probably means fewer CPU cores available due to there being multiple independent garbage collectors. I observed an effect like this when I tried to parallelize esbuild's JavaScript plugins. Running them in separate workers seemed to cause the gains from parallelism to stop when there were half as many workers as CPUs. I'm guessing is because half of the CPUs are busy collecting garbage for the other half. Using a language like Go with real shared memory presumably makes it easier for fewer resources to be spent on garbage collection.

Yeah I was afraid of that. Ideally it would be possible to do type checking in parallel at the function level or something, but TypeScript allows you to omit the return type and then infers the return type from the function body which adds additional dependencies and makes that more complicated to parallelize. I wonder if it would still be possible though. Maybe just for functions where the return type and all argument types are present? Then the approach would be sort of outside-in where you type check the unparallelizable global stuff serially first and then type check the remaining isolated function body stuff in parallel afterward.

The problem is that you can't use shared-memory parallelism in TypeScript. If you could, then the most straightforward way of speeding up the TypeScript compiler would be to parallelize the compiler, not to port it.

I'm the author of esbuild. I think this is a very smart, practical choice and is one of the approaches that has the best chance of succeeding (the other being a semi-automated porting tool instead of a purely manual port). I'm very excited to see someone take this approach. This is how I would do it if I were to do it. Web developers around the world are hoping this works out :)

The hard part about this project isn't doing the port but keeping up with the constant changes from the TypeScript team, especially if the TypeScript team isn't invested in helping you out. Staying as close as possible to the source language like this will be a big win there.

One of the big benefits of a native language like Go aside from lack of a JIT is the ability to easily add shared-memory parallelism. I haven't studied the TypeScript compiler internals so I'm not sure how easy it is to parallelize their type checker. However, I assume that it would be relatively straightforward to parallelize the parsing of JavaScript files, so I'd hope for at least be a big speedup there.