I’m genuinely excited for the moment @cysic_xyz goes live on mainnet and I hope it coincides with a broader market recovery. The timing could be perfect for ZK technology to finally step into the spotlight. Over the last six months, the conversation around zero-knowledge proofs has mostly centered on algorithmic tweaks and cryptographic refinements. But here’s the reality: the real bottleneck isn’t the math it’s compute. Most teams are still cobbling together temporary clusters or patchwork solutions, which makes scaling fragile, costly, and unpredictable. Without reliable infrastructure, even the most elegant algorithms hit a ceiling. What sets #Cysic apart is its supply-side approach. Rather than improvising or layering quick fixes on top of existing systems, they are reimagining the entire ZK compute pipeline. Think of it less like building a car from spare parts, and more like moving to a standardized, high-performance production line. At the hardware level, their hybrid ASIC + GPU architecture unlocks instruction-level optimization, squeezing every ounce of efficiency from the silicon. On the network side, compute is transformed into a verifiable, on-demand marketplace tasks can be tracked, scheduled, and allocated with precision. The outcome? What used to be a fragmented, inconsistent proving process becomes a robust, scalable, and tradable compute infrastructure. Compute is no longer a bottleneck it’s a standardized resource that ZK projects can depend on, paving the way for a new era where zero-knowledge proofs can scale predictably and sustainably. In short, @cysic_xyz isn’t just solving a technical limitation it’s laying the foundation for #zk to grow into a mainstream, production-ready ecosystem, one compute block at a time