This is an interesting idea: charging an abstraction layer tax on compute and execution time vs the underlying raw AWS resources.
But also... sorry, I hate the idea that using this abstraction means incurring additional ongoing infrastructure costs vs other competing tools. And not being able to deploy to your own AWS account is quite the showstopper. The 2k requests per second seems like another odd limitation too... considering that a single API Gateway in front of a Lambda function can do 10k requests per second out of the box before getting rate limited.
It's really just shifting the lock-in from one cloud to one serverless service ¯\_(ツ)_/¯... I wonder if Serverless Cloud is fully open source?
I don't see myself using something like this personally for production projects compared to a tool like Terraform. But I do appreciate AWS Chalice for small simple serverless projects. If someone builds a Terraform escape hatch like Chalice has, that would make Serverless Cloud more appealing to me.
That said, my experience has been that the benefits and developer experience of these types of tools breaks down fast when you: (1) need to interact with cloud resources created from outside of the magical interference process, (2) the magical inference process gets it wrong or does not support the full variety of configuration options required, and (3) the magical inference abstraction doesn't support the resource types you need at all.
Multi-could abstraction is a hard problem as soon as you go beyond using pure cloud primitives to any of the fancier services that make life easier but are apples to oranges comparisons across clouds.
I've yet to be convinced that multi-cloud abstraction is a valuable problem that most companies actually need to solve, much like most companies don't need to be (directly) running their own Kubernetes clusters... but enterprises sure will throw a lot of money at chasing it, so I get why they're aiming for that market.