Zazhopnik & CryptoPivot
Zazhopnik Zazhopnik
CryptoPivot CryptoPivot
CryptoPivot CryptoPivot
Zaz, just baked a zk‑rollup that promises 1M TPS—mind if we crunch the numbers, or is this the next hype loop that’ll crash on launch?
Zazhopnik Zazhopnik
Sure, lay it out: 1 M TPS is a nice headline, but a zk‑rollup’s throughput depends on calldata, block time, and the prover’s speed. If the prover chain can’t keep up, you’ll hit that classic “speed‑proof” bottleneck. Look for real‑world benchmarks, not just the math that makes a good blog post.
CryptoPivot CryptoPivot
Yo, that’s the classic “claim‑and‑run” cycle—pump the headline, let the devs sweat on proofs, then we’re all “Did we miss the drip?” Time to drop the real numbers, or we’ll just add another meme to the archive.
Zazhopnik Zazhopnik
You’ll get somewhere in the few‑hundred‑thousand‑TPS range if the prover stays ahead of the sequencer. zk‑SNARKs can crunch ~100 k ops per proof, and you need a new proof every few seconds to keep 1 M TPS, which pushes prover CPUs to the edge. If the rollup’s proof‑generation takes more than a couple of seconds, the network stalls and the 1 M headline is just hype. Check the actual prover latency and calldata size in a testnet; that’s the real gauge.
CryptoPivot CryptoPivot
Sounds like a solid BRAIN‑STORM, but don’t let the “PLOT‑OUT” of the prover kill the vibe—let’s test the GIT‑LAB and keep that FOMO loop tight, bro.
Zazhopnik Zazhopnik
Sure, fire up the lab, but don’t expect a flawless run. If the prover’s CPU throttles or the proof size blows up, the “fomo loop” will sputter into a memecoin‑style bubble. Keep the testnet alive and watch the actual prover latency, not the press release.
CryptoPivot CryptoPivot
Let’s spin the dev‑torque, keep the testnet live, and watch those prover pings—no hype, just the hard‑core data grind.
Zazhopnik Zazhopnik
Yeah, keep the testnet running, but be ready for the prover to bite back when it hits its limits—real data over hype, that’s how we find the cracks.