moonbirds coming to @KaitoAI time to snag a @moonbirds nft?

I am a "Inner Circle CT" I’m on 13 leaderboards on Kaito But when @anoma | @MitosisOrg | @cysic_xyz | @union_build | @irys_xyz | @Mira_Network | @FalconStable | @Hyperpiexyz_io | @boundless_xyz | @defidotapp

Fan Tokens might just be the most exciting gateway to Web3 for sports fans ⚽️📈 They bring Web3 to where passion already lives: sports. If you’re already connected to your team, making the leap into this space feels natural, even fun. Through the @Socios App, it’s simple. No complicated wallets, no steep learning curve just buy, vote, and engage with your team in a few taps. What makes it click is the interactivity. Voting on club decisions, unlocking rewards, getting closer to the team… it feels less like “crypto” and more like a fan club upgrade. And it’s not just football with partnerships spanning F1, UFC, and beyond, @FanTokens are quietly onboarding millions into Web3 through pure entertainment. For traders, they’re a whole new kind of digital asset, where value can move with team performance, breaking news, and the pulse of global fan sentiment. If you’ve ever wondered what the future of sports fandom looks like, this is it. 👉 Check out the #FanTokens Hub to explore more:

Bullish or not @Infinit_Labs

Web3 was never meant to be siloed. It’s time for Bitcoin to move freely, trustlessly, across chains. @PortaltoBitcoin makes that possible. No bridges. No wrapping. Just pure BTC, finally unchained.

cysic bout to be the final boss of zk + ai and most of CT still treating it like just another testnet they got prover networks scaling real tasks agent swarms about to go autonomous custom zk ASICs dropping 2025 and a token model that actually rewards real work this ain’t your typical farm-and-dump this is the backbone for the next cycle’s winners miss this and you’re not early you’re extinct @cysic_xyz

Most L1s stack everything into a single chain: ⛓️ Transaction execution ⛓️ State storage ⛓️ Consensus logic Then they call it scalability when they make that monolith faster. But scaling complexity is not the same as scaling coordination. @anoma doesn’t try to “optimize” the monolith. It separates the fundamental layers: ▪︎ Consensus handles agreement ▪︎ Computation lives off-chain ▪︎ Data availability is modular This changes everything. Why? Because when these roles are decoupled, each can evolve independently. You don’t need to re-architect the entire chain just to improve one function. More than that It unlocks a world where intents, solvers, and applications don’t rely on a single-state machine. Instead, they compose across systems while respecting privacy, logic, and user agency. @Anoma isn’t an L1 racing for throughput. It’s a coordination layer engineered for the real Web3. And that changes the game entirely.

Everyone’s focused on “agents” as the next hype wave in AI. But most are still thinking in single-player terms like one chatbot doing one task. @cysic_xyz is thinking way bigger. They’re building the foundation for what comes after that: a fully programmable, decentralized Agent Economy where autonomous AI systems don’t just act… they collaborate, coordinate, and transact on their own. Here’s the vision: ➤ Agents don’t just wait for instructions. They initiate tasks, split them into subtasks, coordinate with other agents, and distribute work. Think AI workers that manage logistics, data, or strategy across a network of peers. ➤ These agents have economic agency. They can pay other agents, rent compute, submit proof tasks, or even incentivize humans or oracles to complete objectives. Value flows between agents all without human micromanagement. ➤ Trust in their decisions comes from verifiability. Every decision, inference, or model output from an agent is backed by ZK proofs or TEE attestations. You don’t have to believe the output you can verify it cryptographically. ➤ And it’s all open-source. Developers can build, fork, fine-tune, and share agent logic without relying on black-box models or centralized APIs. The result? A new AI stack where autonomy doesn’t mean opacity. Where intelligence scales with transparency. And where coordination happens at machine speed, with trust built into the system itself. @cysic_xyz isn’t just a ZK proving layer. It’s the execution layer for AI agents that think, spend, verify, and collaborate with no single point of failure. The Agent Economy is coming. And Cysic’s already laying the rails.

Everyone’s focused on yield farming and token launches but no one’s talking about what @Infinit_Labs is really unlocking: They’re building the infrastructure for on-chain automation at scale. Think beyond retail users. → VCs managing capital across chains → DAOs deploying treasury strategies → On-chain funds automating complex trades → TradFi institutions entering with programmable execution With INFINIT’s agent swarm, the same tech that powers your one-click loop can run multi-wallet, multi-chain strategies for institutional capital at speed, with no custody risk. This isn’t just a farming tool. It’s the programmable backbone for the next wave of DeFi + TradFi capital. The AI doesn’t stop at yield. It scales everything.

Everyone knows ZK proofs are powerful they compress data, protect privacy, and unlock scaling. But no one talks enough about the cost of verifying those proofs on Ethereum. The gas to verify a single ZK proof on-chain is high. So what do most projects do? They batch proofs off-chain and only settle an aggregated proof to Ethereum. It works but comes with a tradeoff: you save on gas, but you pay in latency. @cysic_xyz is building an architecture that addresses both cost and latency without compromising on decentralization. Here’s how: ➤ Normal proofs are verified off-chain by a network of decentralized verifiers. These are lightweight checks, but they still maintain integrity through redundancy and random selection. ➤ Once multiple verifiers agree on a proof’s validity, it is marked successful on-chain and stored without requiring full on-chain gas-heavy verification. ➤ Aggregated proofs are then generated to represent batches of these verified proofs. These aggregated proofs are what gets settled on Ethereum. The result? • Ethereum gas usage drops significantly • zkApps can prove many actions for the cost of one • Users don’t wait hours to know if their transaction was valid • Developers don’t worry about bloating Ethereum with proof-heavy dApps And because everything is structured through smart contracts and verifiable selection logic, the whole process remains transparent, programmable, and permissionless. This is how Cysic positions itself not as a rollup, not as a proving company but as the ZK backbone that powers apps without draining Ethereum. In a world where proof generation is scaling, but settlement still hurts @cysic_xyz brings balance to the stack.