[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  NeverSure [@NeverSure_BTC](/creator/twitter/NeverSure_BTC) on x 52.9K followers Created: 2025-07-19 13:56:04 UTC been diving into NOYA lately and honestly... this one's got me thinking. not in the usual "oh another yield aggregator" way but more like "wait, are they actually onto something here? Join Noya : > Ok so the basic pitch is AI agents managing your DeFi positions across chains using ZKML - which sounds buzzwordy until you dig into what they're actually doing. they call it a "smart liquidity factory" where AI agents direct omnichain liquidity trustlessly using ZKML, handling everything from yield optimization to collateral management without you babysitting positions. what caught my attention is the ZKML part though. most AI + DeFi projects just throw around "AI" without much substance, but NOYA's ZKML implementation enables on-chain proving of private & predictive AI models which enables trustless & verifiable strategy execution. that's... actually pretty clever? like you can verify the AI isn't just making random decisions or front-running you the omnichain angle makes sense too - 10+ chains, 40+ protocols, 500+ pools they're aggregating. yield opportunities are scattered everywhere now and manually managing positions across different chains is honestly exhausting. having AI that can predict where yields are heading and move liquidity accordingly could be game-changing but here's where I'm still skeptical... how good are these predictions actually? they mention leveraging a vast array of on-chain data points to accurately forecast yields, volatility, and liquidity trends but "accurately" is doing a lot of work there. DeFi markets can be pretty irrational and I've seen too many "predictive" models get rekt during volatility spikes also wondering about the fee structure - they mention lowest fees possible through DEX & Bridge aggregators but what's their cut? AI inference isn't free and neither is maintaining infrastructure across 10+ chains the multi-protocol approach with specialized agents (borrowing optimizer, LP manager, leveraged farming) is interesting but also feels like a lot of moving parts. more complexity = more attack vectors usually that said, if they can actually deliver on the trustless AI execution and the yields are competitive, this could be pretty significant. just hoping they're not overpromising on the AI capabilities because that's where most projects in this space tend to fall short anyone else been testing their strategies? curious what the real performance looks like beyond the marketing materials. What do you think degens ? @OptimisticOmni @LucidWeb3_ @zahrazareiw @Azerakk @_Joshiker @Utpalrabhaaa @macofweb3  XXX engagements  **Related Topics** [positions](/topic/positions) [coins ai agents](/topic/coins-ai-agents) [coins ai](/topic/coins-ai) [Post Link](https://x.com/NeverSure_BTC/status/1946569731965698382)
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NeverSure @NeverSure_BTC on x 52.9K followers
Created: 2025-07-19 13:56:04 UTC
been diving into NOYA lately and honestly... this one's got me thinking. not in the usual "oh another yield aggregator" way but more like "wait, are they actually onto something here? Join Noya : > Ok so the basic pitch is AI agents managing your DeFi positions across chains using ZKML - which sounds buzzwordy until you dig into what they're actually doing. they call it a "smart liquidity factory" where AI agents direct omnichain liquidity trustlessly using ZKML, handling everything from yield optimization to collateral management without you babysitting positions.
what caught my attention is the ZKML part though. most AI + DeFi projects just throw around "AI" without much substance, but NOYA's ZKML implementation enables on-chain proving of private & predictive AI models which enables trustless & verifiable strategy execution. that's... actually pretty clever? like you can verify the AI isn't just making random decisions or front-running you
the omnichain angle makes sense too - 10+ chains, 40+ protocols, 500+ pools they're aggregating. yield opportunities are scattered everywhere now and manually managing positions across different chains is honestly exhausting. having AI that can predict where yields are heading and move liquidity accordingly could be game-changing
but here's where I'm still skeptical... how good are these predictions actually? they mention leveraging a vast array of on-chain data points to accurately forecast yields, volatility, and liquidity trends but "accurately" is doing a lot of work there. DeFi markets can be pretty irrational and I've seen too many "predictive" models get rekt during volatility spikes
also wondering about the fee structure - they mention lowest fees possible through DEX & Bridge aggregators but what's their cut? AI inference isn't free and neither is maintaining infrastructure across 10+ chains
the multi-protocol approach with specialized agents (borrowing optimizer, LP manager, leveraged farming) is interesting but also feels like a lot of moving parts. more complexity = more attack vectors usually
that said, if they can actually deliver on the trustless AI execution and the yields are competitive, this could be pretty significant. just hoping they're not overpromising on the AI capabilities because that's where most projects in this space tend to fall short
anyone else been testing their strategies? curious what the real performance looks like beyond the marketing materials. What do you think degens ? @OptimisticOmni @LucidWeb3_ @zahrazareiw @Azerakk @_Joshiker @Utpalrabhaaa @macofweb3
XXX engagements
Related Topics positions coins ai agents coins ai