Roc has runtime overhead to do garbage collection, it says so right on their own page.

I was sceptical about your assertion because the language authors made a design decision not do do garbage collection. So I did a google search for garbage on roc-lang.org to try and find evidence of your claim. It doesn’t say it does garbage collection. It does say overhead, but you’re talking about it like it’s a big slow thing that takes up time and makes thread pauses, but it’s a small thing like array bounds checking. You do believe in array bounds checking, don’t you?

So no, that’s not what it says and you’re using the phrase garbage collection to mean a much wider class of things than is merited. Garbage collection involves searching the heap for data which has fallen out of scope and freeing that memory up. It’s slow and it necessitates pausing the main thread, causing unpredictably long delays. Roc does not do this.

Here’s what the website actually says on the topic.

https://www.roc-lang.org/fast

Roc is a memory-safe language with automatic memory management. Automatic memory management has some unavoidable runtime overhead, and memory safety based on static analysis rules out certain performance optimizations—which is why unsafe Rust can outperform safe Rust. This gives Roc a lower performance ceiling than languages which support memory unsafety and manual memory management, such as C, C++, Zig, and Rust.

Just in case you missed it, that was unsafe rust that lacks the overheads. If you’re advocating for using unsafe to gain a tiny performance benefit, you may as well be writing C, or zig, which at least has some tools to cope with all that stuff.

https://www.roc-lang.org/fast

When benchmarking compiled Roc programs, the goal is to have them normally outperform the fastest mainstream garbage-collected languages (for example, Go, C#, Java, and JavaScript)

Just in case you missed it, roc is not in the list of garbage collected languages.

https://www.roc-lang.org/platforms

The bigger benefit is tailoring memory management itself based on the domain. For example, nea is a work-in-progress Web server which performs arena allocation on each request handler. In Roc terms, this means the host’s implementation of malloc can allocate into the current handler’s arena, and free can be a no-op. Instead, the arena can be reset when the response has been sent.

In this design, heap allocations in a Web server running on nea are about as cheap as stack allocations, and deallocations are essentially free. This is much better for the server’s throughput, latency, and predictability than (for example) having to pay for periodic garbage collection!

Summary: roc doesn’t have the performance disadvantages of garbage collected languages because it’s not a garbage collected language.