The problem is that this breaks down once you try to use SIMD instructions. I'd developed a similar kind of approach to encoding integers (and ieee774 floats) a couple of years ago (first byte encodes length and first bit of data: https://github.com/kstenerud/bonjson/blob/05b91f6fe7d6b07186... ). It was very clever and used compiler intrinsics to get the length in 1 instruction, so 2 instructions got you the final va…
I think these are different use cases. If you talk about SIMD, you talk about the CPU and efficient processing of large numbers of integers. I think that when a solution like this crops up, it's about storage or transmission, and dense packing at the cost of non-uniformity. It's more like time-series databases pack numbers by delta encoding.
On top of that, for the vast majority of performance/cost parameter spaces, you're better off both in developer ergonomics and speed/space slapping zstd across a flatter binary format, supposing no better tool fits your use case better. Especially if your messages aren't exceptionally tiny. You're not using them in a raw DB or doing raw bulk analysis on varints (else basically zero choices of parameters make varints win out), so you're transferring them somewhere and decoding them. That decoding step, even for highly optimized solutions like bijou64, is on par with (slightly better than, if you have an older datacenter link) your raw network. If you spend 1s on networking, you spend 1s on parsing. That's a bad tradeoff almost always, and that assumes a good varint solution.
Even when varints make sense for some set of perf/cost parameters, it's still only for developer ergonomics 99.9999% of the time. Even simple changes like operating on a sequence of values rather than a single scalar enable vastly better CPU/space tradeoffs, and being willing to craft a proper data layout usually offers huge gains on top of that.
It's interesting that you pick delta encoding (or, its natural extension, double-delta encoding often being valuable) for time-series databases as an example. That's an obvious case where you have a solution which is extremely cheap in storage/network/CPU. Varints suck comparatively, almost always.
Not to rip on them too much, especially since it's nice to have primitives available which let you not have to do hard thinking for literally every problem, but they're not amazing and not a great default.