Gmum CT A lot of people still look at blockchain scaling through the lens of speed But the more interesting problem shows up somewhere else Not in execution In how information actually moves across thousands of machines trying to stay in sync at the same time. When activity increases, the network doesn’t just get “slower” in a simple way. It starts repeating itself. The same data gets forwarded, re-forwarded, and relayed across different paths just so everyone stays aligned. That overhead quietly becomes part of the bottleneck. What @get_optimum is doing is targeting exactly that problem how data travels between nodes when the system is under load & this has been clarified by the co founder @kentlinyy many times by himself Recent Ethereum tests mentioned up to 6x faster data propagation using RLNC, a way of encoding information so it can still be reconstructed even if parts don’t arrive cleanly. Less redundant communication. Cleaner propagation Better coordination under pressure. And that’s where the shift actually is. Because scaling stops being about how fast a system can execute… and starts being about how efficiently it can keep itself in sync while everything is happening at once