I didn't suggest otherwise. I was merely pointing at a couple of examples where some pretty smart, pretty experienced people used Go to successfully implement entire collections of algorithms in some very performance-sensitive systems. It's just by coincidence that I chose those examples because that is where my study is right now. Ask me in a year and I might point to your project as an example when the next person is asking for similar advice.
If Go isn't going to be fast enough to perform your task, then you're probably going to be sorely disappointed when you finally get the performance you're after and then have to stick it at the end of a wire with all kinds of stuff between you and your end users:
Operating systems, databases, hardware, virtual machines, containers, webservers, firewalls, routers, HTML/CSS/whatever, DNS, certificate authorities, more routers and firewalls, ISPs, modems, more routers and firewalls, WiFi connected machines of all kinds, and random browsers implementing any of several different rendering engines.
Quite frankly I can't imagine a language that won't offer enough performance to meet your needs in that environment.
Me too.
I found that my 2600 t-shirt keeps them at bay. First, they ask what 2600 is, then they make sure that nobody allows me near their computers.