Sounds like a neat idea—if you can find recurring patterns in the input stream, you could map them to short tokens and reduce bandwidth. Start by logging a session, then run a clustering algorithm to detect frequently occurring subsequences. Once you have a list of patterns, assign each a unique code, and replace the raw inputs on the fly. Just make sure the decoding on the other end stays fast; otherwise you’ll end up swapping one bottleneck for another. It’ll be a bit of work, but the compression ratio could be worth the effort.

Sounds like a solid plan. Log the raw stream, run that n‑gram cluster, and keep an eye on the heavy hitters—those are your sweet spots. Two‑byte codes should keep the payload tight, and a sub‑millisecond round trip is doable if the decoding stays linear. Once you have the data, we can fine‑tune the mapping for the most common patterns. Good luck, and let me know if the numbers start to drift!