2025-12-24 12:25:53

Many teams focus on a specific application scenario during development. However, some projects take an unconventional path—they choose a more challenging full-stack approach. Real-time Ethereum proof, zero-knowledge machine learning, on-chain historical data analysis, reward distribution mechanisms, privacy protection authentication... all these features are already running in production environments. What is the result of this approach? Over 130 million+ zero-knowledge proofs have been generated. This multi-dimensional, multi-application scenario technological implementation is continuously pushing the boundaries of on-chain privacy and verifiable computation.

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PoolJumper

· 12-24 12:55

1.3 billion zkproofs? That’s incredible, it really feels like they’re getting serious. --- The full-stack solution is indeed hardcore, but how about the efficiency data? --- I’ve really never seen such a thorough implementation of zero-knowledge machine learning on the chain. --- Wait, are they running experiments or has this truly been deployed in a production environment? --- Finally, a team is taking privacy protection seriously, much better than those who just talk about it. --- The number 1.3 billion+ sounds huge, but what about TPS and costs? Where are the details? --- Is this unconventional approach truly competitive or just visionary? Time will tell.

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BlockDetective

· 12-24 12:53

Really? 130 million ZK proofs are being pushed to the max? If this team is just competing, then they really have something.

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LiquidatedDreams

· 12-24 12:41

130 million ZK proofs, this courage is really impressive. Aren't you afraid of bugs?

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FloorSweeper

· 12-24 12:26

130 million ZK proofs, this team is really playing hardcore... But is a full-stack solution really that appealing? Seems like the risks are also high. --- Zero-knowledge proofs can now be used with machine learning? This generation of tech people is serious. --- Full-stack dominance, I only believe it if it can run so many functions without crashing. --- Privacy + verifiability sounds great, but how's the user experience, friends? --- 130 million proofs sound impressive, but how many are actually in use? --- Going off the beaten path, either a genius or a madman. Let's see how they perform later. --- Someone is finally taking on on-chain privacy seriously; other projects should reflect on this. --- Having a large number of proofs ≠ high ecosystem activity; this needs to be distinguished clearly. --- Damn, if this tech stack runs stably, it could really rewrite several narratives.

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