Top Privacy-Focused Ethereum Scaling Projects To Watch @0xMiden is positioning as “private Ethereum”, enabling local execution on user devices with zk proofs verified on-chain. This unlocks programmable privacy for DeFi, games, DAOs and payments while keeping balances and

Another quiet unlock for real value: hardware that actually scales ZK @cysic_xyz pushed past 1M users, is wiring GPUs and ASICs into a proving network that real apps are already tapping, and has $CYS coming after a last raise at 250M FDV. Cubes aren’t just JPEGs, they’re claims

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On-chain AI doesn’t really “feel early” anymore when you look at what @cysic_xyz is wiring up Proof generation at hardware speed, verifiers locking in correctness, and comeBFT keeping consensus Byzantine-resilient… that’s the backbone you need when ZK apps move from toy scale

Caught myself underestimating how big the Cysic × NOYA combo really is Everyone screams “ZK infra” but @cysic_xyz actually shipped numbers: C1 chips pushing ~1.31M Keccak/s, up to 91% lower verification costs, 4M+ proofs with a 99.7% success rate. That’s not a deck, that’s

I don’t think people realize what @cysic_xyz is actually doing Everyone talks about “ZK scaling” like it’s some abstract meme. Cysic is literally wiring a 3-layer hardware stack (GPU → FPGA → ASIC) into a proving network that can run rollups, zkML and encrypted AI at

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Nobody is asking what happens to CT when the attention arbitrage finally flips onchain You have @farcaster_xyz + $BASE spinning up a parallel social graph with actual builders, live liquidity, and no engagement-farm bots History repeats (by design) but this time distribution

Every time I look deeper into compute, the same thing jumps out: we’re recreating the 2008 shadow banking mess but with GPUs and rented clouds instead of mortgage paper No transparency, no verifiability, massive concentration risk The only serious attempt I see to turn this

I used to think ZK infra was this black box where you just pray proofs finish before users rage quit Then I started actually playing with projects plugged into @cysic_xyz and it’s weird how different it feels when the “waiting room” disappears Proof times drop, costs stop

Watched AI narratives go from hype to actual infra and the @cysic_xyz x @NetworkNoya setup is one of the few that feels real They’re basically turning ZK proofs into an industrial-grade engine: C1 chip pushing ~1.31M Keccak/s, 4M+ proofs already run with 99.7% success,

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Everyone is staring at flashy AI tokens and nobody is asking what happens when zk proving quietly jumps 10x and verification costs drop 90%+ The C1 chip from @cysic_xyz is already pushing 1.31M Keccak/s and they’ve run over four million proofs with a 99.7% success rate. Full

Watching @cysic_xyz plug into NOYA was a lightbulb moment for me On-chain AI used to feel like buzzwords stacked on AWS. Now we’re staring at a stack where AI agents run omnichain, ZKML proves they behaved correctly, and Cysic’s custom hardware turns that proving from “the

Cysic x NOYA is the first AI x ZK collab that actually changed how I think about onchain compute Most teams still treat ZK as a tax. @cysic_xyz turned it into an engine. 1.31M keccak/sec on the C1 chip ~91% lower verification costs 4M+ proofs with 99.7% success That’s not a

Interesting detail from @cysic_xyz most people are missing: the DogeBox 1 isn’t just some meme miner, it’s basically a gateway drug into ComputeFi You plug in a low-power box at home, mine DOGE, and in the background it’s reporting verifiable hashpower to the Cysic network and

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Funny how edge computing in web2 was hyped for a decade and then quietly became “just infrastructure”, but in crypto we’re only now catching up What @0xMiden is doing feels like that same shift: move execution out to the edge, prove it locally, post only the zk receipts

Most people are still thinking about blockchains as big shared databases. That model breaks the moment privacy and serious scale actually matter @0xMiden flips the mental frame. Execution happens at the edge, users generate zk-STARK proofs locally, and Ethereum just verifies

Most people still think “privacy chain” means some random mixer with a token What @0xMiden is actually shipping feels closer to infrastructure reform: your device runs the app, proves it locally, and Ethereum just checks the math. No global mempool gossiping your life, no

I keep circling back to @0xMiden and the more I sit with it, the more it feels like the quiet pivot nobody is really ready for yet. Not another “faster chain”, but a different premise: your device does the work, chain just checks the zk receipts. Local state, edge execution, one

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The more I read on @0xMiden the more it feels like the “post-rollup” phase of crypto Not batching faster Not compressing harder But quietly flipping the model: client-side execution, proof-native from day one, local state that never has to bleed onto a global ledger just to be

The thing about @0xMiden that keeps bothering me (in a good way) is how early the market feels to the actual shift they’re pushing Most L2s are still arguing over throughput charts while Miden quietly moves execution offchain, turns your device into the compute layer, and

Tried wrapping my head around how @0xMiden actually scales and it finally clicked: they don’t cram every tx through one global queue, they let users execute locally, prove it with zk STARKs, then the network just verifies in batch. More users doesn’t mean more congestion, it

The alignment here is what stands out. You don’t usually see 100% of fees hard-routed into buybacks this early. A full buyback loop at pre-launch is rare. If @MemeMax_Fi actually sustains this model into peak meme volatility, $M becomes the trade, not the sideshow

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