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Community Builder | Joining @o_fndn @SentientAGI Yapper @cysic_xyz @zama Quacker @idOS_network @HeyElsaAI

1k following1k followers

The Connector

The One 🥊 is a dynamic community builder deeply embedded in cutting-edge Web3 and encrypted computing ecosystems. With thousands of tweets and active collaborations across multiple innovative projects, they excel at turning complex tech into accessible, actionable conversations that mobilize engaged audiences. Their presence is not just about sharing info; it’s about fostering real connections and driving collective progress in privacy tech and blockchain.

Impressions
92.7k-2.6k
$17.38
Likes
543-80
65%
Retweets
12-1
1%
Replies
282-47
34%
Bookmarks
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Top users who interacted with The One 🥊 over the last 14 days

@aivyluong

$BIO - $YAP - $SNAPS Crafting impactful posts on the journey to becoming a professional YAPPER

1 interactions

If tweeting was an Olympic sport, The One 🥊 would have their own medal by now—but let’s be honest, sometimes their timeline looks less like a curated community rally and more like a relentless tech lecture from a professor who just discovered caffeine. Maybe dial down the crypto jargon occasionally, pal, your followers aren’t all bot analysts!

Biggest win: Seamlessly spearheading conversations around Fully Homomorphic Encryption (FHE) on Ethereum, carving out a niche that merges bleeding-edge cryptography with practical DeFi applications—turning esoteric science into tangible Web3 momentum and rallying a thriving builder community around $ZAMA and FHEVM.

Their life purpose revolves around uniting people and ideas in the fast-evolving Web3 space, catalyzing collaboration that pushes the boundaries of privacy, encryption, and decentralized identity. By bridging researchers, developers, and enthusiasts, they aim to build trusted, vibrant communities that champion technological advancement and real-world impact.

They believe in transparency through encrypted privacy, community-driven innovation, and the power of collective intelligence to solve complex challenges. Valuing openness combined with security and compliance, they trust that technology should serve people without compromising their fundamental rights or data integrity.

Outstanding strength lies in deep knowledge of advanced privacy tech paired with an innate ability to connect diverse groups—experts, developers, fans, and investors—into cohesive networks. Their communication style simplifies complexity and inspires participation, driving sustained engagement and momentum around emerging protocols and projects.

However, The One 🥊 might sometimes overwhelm followers with dense technical content and long threads, potentially alienating newcomers or casual observers. Their high tweet volume and deep dives might need occasional balance to maintain broader accessibility without losing substance.

To amplify their audience on X, The One 🥊 should consider mixing in more bite-sized, easily shareable insights or visuals to complement the detailed threads. Highlighting community stories and leveraging interactive formats like polls or live Q&As can broaden appeal while preserving depth. Strategic tagging of project partners and influencers will further expand reach.

Fun fact: With over 16,000 tweets, The One 🥊's prolific output reflects their relentless commitment to engaging their audience — practically a tweet a day for years! Their top tweets generate hundreds of likes and lively discussions, proving their effectiveness as a conversation starter and community magnet.

Top tweets of The One 🥊

The Privacy Minute (FHE x Web3) Top: - Global FHE Conference brings researchers, security teams and big tech to align on homomorphic roadmaps - FHE Hardware Day 2025: “HPU on FPGA” from @zama_fhe proves encrypted compute running on silicon with practical throughput - fhEVM / FHEnix let Solidity work on ciphertexts so devs keep EVM composability with data sealed end‑to‑end Why it matters: - Private DeFi, sealed‑bid auctions, on‑chain KYC via proofs, AI inference on encrypted data - HTTP → HTTPS → HTTPZ Builder notes: - encrypt → compute → selectively reveal - measure latency, lean on hardware accel, ship composable demos #FHE #Web3 @zama_fhe @randhindi #ZamaCreatorProgram

1k

UFC fandom goes on-chain @JoinFightID x UFC turns timelines into ledgers and engagement into position size TGE season is upon us Facts - ~$183m phase 2 demand, 122x oversub at peak - 500k+ signups live - Four active ufc fighters came in as angel investors and advisors - Solana rails for real-time predictions - Pre-tge audit cleared by peckshield What it unlocks - fight.id passport for on-chain identity and reputation - Fight points that map to airdrops, vip access, and governance - Skill-based predictions with $FIGHT rewards and fee burn mechanics - Stake-to-join fighter clubs and prize$fight bounties - Ugc flywheel via holoworld ai for scalable creation Near-term timeline - Season 2 fp snapshot nov 1 - TGE q4 2025 - Prediction markets in december - Prize$fight debut at ufc abu dhabi in january Creator allocation notes - 0.25% of supply reserved for creators - qualified ugc gets a fixed $100 allocation - leaderboards and fp multipliers determine weight Signals i care about - exclusive, multi-year ufc license - cz nod + mainstream coverage - 500k users before token - revenue beyond token flows via merch, fees, partnerships Risks and edges - fdv anxiety vs distribution cadence and burns - kyc friction vs brand-grade compliance - exchange liquidity vs early on-chain depth Sports x web3 winners build with real ip, real users, measurable skin-in-game $FIGHT has the position and the pipeline to ship a clean lap if execution stays this tight #UFC #Web3 #FIGHTID @JoinFightID @HologramLabs @HoloworldAI

2k

Per @zama_fhe testnet data: fhEVM just clocked 5,000 TPS on encrypted swaps No ZK prover tax, no input leaks Validators see ciphertexts only, MEV stays blind Solidity runs native Roadmap check: - FHE ASICs in flight to push from ~20 TPS to thousands, targeting throughput that outpaces public compute - Dedicated rollup with @conduitxyz using $ZAMA as gas for confidential contracts at scale - Open dev tools + cohort set to flood launchpads with encrypted apps Thesis: - Private RWA flow hits $50B by mid-2026 as funds demand verifiable secrecy - If counterparties can prove rules without revealing state, liquidity concentrates where privacy and compliance meet Watch: - Encrypted DEX RFQs, private credit scoring for lending books, sealed-bid auctions without MEV leakage, onchain KYC attestations that never expose raw data Who shorts privacy while hardware catches up? @zama_fhe #ZamaCreatorProgram @randhindi

662

Gut says we’re going private-by-default onchain with FHEVM There are a lot of low-effort takes on “privacy coins” @zama_fhe is not launching a new chain They’re wiring Fully Homomorphic Encryption into smart contracts so apps compute on encrypted data without decrypting News will only break on official channels or a team member’s account Devs: - Builder Track → ship a dapp on FHEVM - Bounty Track → build tools so FHE gets easier for Everyone: - Golden Ticket sends top builders to DevConnect Buenos Aires and the Zama World’s Fair - Last seasons saw 1,300+ submissions, 433 serious projects, $45k rewards - Creator Season 3 adds $50k for real creators and the OG NFT 003 for the top 1000 Stack: - TFHE libraries and Concrete ML so you don’t need a PhD - Deploy on Ethereum, Solana and friends while keeping UX clean and data sealed - Compliance checks, fraud scoring, private DeFi, AIinference all without exposing raw inputs Timeline: - $ZAMA TGE November 2025 - Mainnet on Ethereum also targeted for November Imagine putting your kid through college and they end up shipping encrypted credit engines and private analytics Apply now and start building the apps people actually trust #ZamaCreatorProgram #FHE @zama_fhe @randhindi

965

Anything that enables cool new apps Confidential AMMs that don’t leak balances Private auctions and dao votes that stay sealed Encrypted kyc proofs without doxxing Ai inference on ciphertext RWAs that move quiet Game state that nobody can stream snipe That’s the lane @zama_fhe is clearing with #FHE Genesis operators landing one by one Figment, conduit, infstones Mpc key shares so no one holds the crown FhEVM so you write solidity like usual Encrypted types, verifiable outputs No new chain, no forks, just solidity and ciphertext Dev UX matters Encrypt on the client, compute on coprocessors, verify onchain Balances, calldata, even addresses under wraps Defi without whales camping your wallet Alpha that breathes Throughput keeps climbing Gpu today, hpu tomorrow Targeting thousands of tps as the hardware comes online Privacy that scales with usage, not against it Mainnet + $ZAMA slated for late q4 Delegated proof of stake with operators you already know Fees tied to compute, stake tied to security Composable, programmable confidentiality across the evm Builders Deploy a confidential erc20 Ship a sealed-bid auction Wrap your strategy in ciphertext and keep the yields real The privacy meta is loading #Web3 goes quiet when it needs to be loud on verification See you at mainnet @zama_fhe #ZamaCreatorProgram

613

Privacy compute is breaking out of the lab and into the stack @zama_fhe is pushing Fully Homomorphic Encryption to the edge Compute on ciphertext, end‑to‑end confidentiality, verifiability on EVM - No new chain - FHE smart contracts across L1s and L2s - Coprocessors slash costs, mainnet rollout targets 2025 Builders, think in use cases DeFi yields calculated blind, liquidation bots without leaking strategy KYC where identities prove compliance without revealing raw data AI models scoring health or credit on encrypted inputs All auditable, all private Signals are strong Confidential tests with J.P. Morgan $57m Series B Open source tooling moving fast Zama token powers fees, staking, governance across the protocol Market size dwarfs market share here Private compute touches finance, identity, payments, AI When privacy becomes the default surface area, distribution follows How to get an edge now: - Ship a demo with FHEVM - Benchmark gas with coprocessors - Map which parts of your app can stay encrypted end to end - Start with one function, expand to full flows Gradually, then all at once The moment real users demand confidentiality, the only apps that matter will have it baked in Season 3 for creators is live, the reward pool expanded, a thousand slots for OGs Make noise, but more importantly, make working privacy $ZAMA #ZamaCreatorProgram @zama_fhe

773

Gm Yapper ☕️ Kindred x @SeiNetwork 25+ iconic IPs from Teletubbies to Astroboy are turning into persistent onchain companions with memory, emotion, and the ability to transact on your behalf With @Kindred_AI the consumer layer of AI gets: - real-time interactions at scale - evolving onchain state, traits, and commerce - a unified economy powered by $KIN while Dark Matter fuels engagement Why @SeiNetwork matters: - low-latency, high-throughput infra so companions feel live, not laggy - native composability across apps so one presence follows you everywhere Debate time: What’s the bigger unlock recognizable IP that people already trust, or the infra that makes them feel alive in real time Reply with the next IP you want to see wake up and why @Kindred_AI #Kindred #AI

915

Some notes on @zama_fhe and why FHE is the missing privacy layer - Stack: fhEVM + Concrete/TFHE-rs, dev flow in Solidity/Remix/Hardhat/Metamask, clear Simulation vs Encrypted runs - Hardware: HPU on FPGA, 10 100x faster than CPU, 75W vs 450W GPU, closing the perf gap - Network: public beta ~20 TPS today, >10k TPS on roadmap, mainnet target Q4 2025 - Architecture: host contracts + secret coprocessor + gateway + 13-node MPC keys, ZK for public verification - Use cases: hidden DeFi strategies, sealed auctions/votes, compliant confidential payments, private AI, Inco-style Confidential ERC-20 - Risks: throughput/cost tied to algos + acceleration, threshold keys must resist censorship/failures What I’m tracking: testnet throughput, dev retention, real tx ratio, toolchain completeness If $ZAMA nails fees + staking at the performance inflection, we get privacy-by-default apps across chains Builders: spin a demo on testnet, then join #ZamaCreatorProgram and ship something users can’t do anywhere else @zama_fhe @randhindi #ZamaCreatorProgram

606

spent the afternoon pushing private swaps through zaïffer on the @zama testnet wrap eth → cETH, route through existing dapps, unwrap back when done same wallet, no bridges, no new chain, and the flow felt… normal in a good way the difference clicks when you realize it’s FHE zk proves what happened after the fact FHE lets you compute while data stays encrypted your orderflow, positions, even parameters stay invisible yet usable this isn’t a toy either $130M raised and genesis operators like @P2Pvalidator and Artifact Staking bringing mpc and enterprise grade infra fhEVM means solidity devs don’t have to relearn their craft to ship private apps why it matters on chain strategies without alpha leak private payments with auditability where it counts encrypted ai inference on sensitive data without data escape pro tip for the testnet wrap > swap or farm > unwrap track slippage like normal but enjoy the silence #Zama #FHE #ZamaCreatorProgram @ZaifferProtocol what would you build if privacy was the default?

1k

In the twisted way X’s algo works, I ended up farming FP on @JoinFightID First it was that UFC Octagon spotlight clip. I engaged. Then the feed started serving me more fight + AI + Solana threads, especially from folks talking $FIGHT and @HoloworldAI. At the same time I was posting about identity, reputation, and creator tooling. The algo connected the dots: Ignas likes Web3 sports, AI, fan ownership → Ignas must like FightID The numbers aren’t background noise either. 500K+ sign-ups, $183M raised, 122× oversub, multi-year UFC rights, Solana throughput. $FIGHT penciled at 10B total, ~935M circulating, FDV ~$150M, market cap around $14M. Pre-TGE momentum with real users is rare in fan token land Here’s why this setup clicks for me: • FP is soulbound and earned by predictions, quests, UGC reputation over mercenary capital • $FIGHT ties staking, governance, and fees to fan actions programmable fandom • Ava Studio by @HoloworldAI spins threads into cinematic clips content scaled at attention speed • $HOLO staking routes allocations and exposure creators get an on-ramp, fans get signal • Weekly cards, Prize$Fight pools, club staking loops that compound engagement instead of draining it Even a “fan economy” can have its day when catalysts line up: • UFC rights baked in • TGE late November • Anti-bot mechanics via FP • Cross-chain path (Solana → BSC) and Raydium/Pancake listings on deck I claimed my FightID, linked X, started stacking FP on weekly matchups, and I’ll likely sponsor a small Prize$Fight just to test the rails. If the FP graph stays meaningful post-TGE and creators keep shipping with Ava, this could be the first time sports identity and AI-native participation form a sticky loop Degen mode on, but measured. $FIGHT $HOLO #Web3Sports #UFC @JoinFightID @HoloworldAI

646

Privacy meta is shifting 🚢 From bolt-on compliance to encrypted-by-default compute The stack making it practical: - @zama_fhe Concrete Compiler: Python → encrypted circuits - Automatic tuning across speed/precision/noise, no crypto PhD required - Fits real workflows: privacy-first AI assistants, medical analytics, confidential finance, encrypted social Onchain angle: - FHEVM kits already map to confidential AMMs, sealed auctions, private voting while keeping composability - Encrypted mappings and client-decrypt flows preserve UX and EVM standards Why it matters: - Devs iterate in Python, ship encrypted logic - Enterprises align with privacy regs by design - Users get trust without exposing raw data $130M raised suggests this moves from theory to scale. Compilers defined the last wave (C, LLVM). Concrete can define privacy-preserving AI’s adoption curve Curious to hear @randhindi’s take on which goes mainstream first. Builders, quote this with what you’d ship in Concrete and where you’d plug FHEVM in #ZamaCreatorProgram

371

Trust scales when computation never leaks The @zama_fhe stack is pushing FHE across EVM + AI: - FHEVM for confidential contracts, Concrete ML for private inference, TFHE-rs for performance - Web3 Firewall guarding flows, all open-source and 100x faster than five years ago Updated Numbers: - 230 TPS live and sub ms bootstrapping Roadmap: 1,000 TPS Q4/2025, 100k TPS 2029 DeFi, lending, sealed auctions, identity proofs without data exposure are now in scope Season 3 #ZamaCreatorProgram is open for creators, devs, researchers to ship private matching and encrypted agents Which use-case would you deploy first with FHE on L1/L2? confidential DeFi, AI agents, or SSI reply with your pick! Dive deeper into Zama today 😎 @zama_fhe @randhindi #ZamaCreatorProgram

1k

Ever tried to build private logic on-chain and felt forced to choose between math and secrecy? That’s the wall Fully Homomorphic Encryption breaks and @zama_fhe ships the stack that actually runs it in the wild - TFHE-rs does real arithmetic on ciphertext with optional GPU acceleration - Concrete compiles a practical slice of Python straight into encrypted programs - FHEVM brings confidential-by-default smart contracts so your data stays locked while the chain still verifies the logic The missing piece for scale is performance and Zama’s Homomorphic Processing Unit hits that from the hardware side - Open source - FPGA-based - Faster and more energy-efficient than general CPUs or GPUs for FHE workloads -> It’s an encryption-first computer that makes privacy compute feel like a normal dev target instead of a science project I’m lining up a Season 3 mini series: - TFHE-rs speed tests - Concrete workflows - A simple confidential-contract demo end to end Which one should I cover first? If you’re deep in FHE or attending @fhe_or events I’d love your take on what unlocks adoption faster performance gains or dev ergonomics #ZamaCreatorProgram #FHE @zama_fhe @randhindi

300

Signal: The Identity Window is open @idOS_network brings a user-owned data layer for Web3. - KYC, credentials and profile data live in your vault with programmable permissions. - Apps request scopes, you sign once, access is auditable onchain and the payload stays encrypted offchain. - Verification reuse across DeFi, social and onchain agents without the upload grind. For builders: - Attestors write proofs, apps read with consent. - One identity, many apps, many chains. - Compliance-ready flows that keep users in control. Which unlock do you want first - KYC/KYB reuse across dapps - Sybil resistance for airdrops - Age-gating for consumer apps - Tiered access in DeFi Onchain AI crews like  are going to need clean permissioned rails for agents to act. Lock in and build with idOS. Dive deeper into idOS today @idOS_network @JulianLeitloff #idOS

237

Gm gkindred fam ☕️ When AI understands how you feel, everything else clicks @Kindred_AI’s Emotion Engine + multimodal interface lets companions read context and respond with warmth across text, voice, and XR Then they act: tasks, purchases, and daily flow in one thread Why I’m paying attention: ︎- Cultural cold start solved via 25+ iconic IPs and existing fan trust - Companion sessions become real merchant revenue rather than vanity chat ➯ $KIN ties usage to value via transaction-driven buybacks and deflation ⇦ Onchain presence on @SeiNetwork gives agents a fast, owned home Net effect: one relationship that unifies productivity, commerce, and care Which unlock matters most to you right now? Emotion Engine, IP moat, or onchain home Quote this with your pick @Kindred_AI @KaitoAI #kindredai

275

Most engaged tweets of The One 🥊

The Privacy Minute (FHE x Web3) Top: - Global FHE Conference brings researchers, security teams and big tech to align on homomorphic roadmaps - FHE Hardware Day 2025: “HPU on FPGA” from @zama_fhe proves encrypted compute running on silicon with practical throughput - fhEVM / FHEnix let Solidity work on ciphertexts so devs keep EVM composability with data sealed end‑to‑end Why it matters: - Private DeFi, sealed‑bid auctions, on‑chain KYC via proofs, AI inference on encrypted data - HTTP → HTTPS → HTTPZ Builder notes: - encrypt → compute → selectively reveal - measure latency, lean on hardware accel, ship composable demos #FHE #Web3 @zama_fhe @randhindi #ZamaCreatorProgram

1k

Some notes on @zama_fhe and why FHE is the missing privacy layer - Stack: fhEVM + Concrete/TFHE-rs, dev flow in Solidity/Remix/Hardhat/Metamask, clear Simulation vs Encrypted runs - Hardware: HPU on FPGA, 10 100x faster than CPU, 75W vs 450W GPU, closing the perf gap - Network: public beta ~20 TPS today, >10k TPS on roadmap, mainnet target Q4 2025 - Architecture: host contracts + secret coprocessor + gateway + 13-node MPC keys, ZK for public verification - Use cases: hidden DeFi strategies, sealed auctions/votes, compliant confidential payments, private AI, Inco-style Confidential ERC-20 - Risks: throughput/cost tied to algos + acceleration, threshold keys must resist censorship/failures What I’m tracking: testnet throughput, dev retention, real tx ratio, toolchain completeness If $ZAMA nails fees + staking at the performance inflection, we get privacy-by-default apps across chains Builders: spin a demo on testnet, then join #ZamaCreatorProgram and ship something users can’t do anywhere else @zama_fhe @randhindi #ZamaCreatorProgram

606

Anything that enables cool new apps Confidential AMMs that don’t leak balances Private auctions and dao votes that stay sealed Encrypted kyc proofs without doxxing Ai inference on ciphertext RWAs that move quiet Game state that nobody can stream snipe That’s the lane @zama_fhe is clearing with #FHE Genesis operators landing one by one Figment, conduit, infstones Mpc key shares so no one holds the crown FhEVM so you write solidity like usual Encrypted types, verifiable outputs No new chain, no forks, just solidity and ciphertext Dev UX matters Encrypt on the client, compute on coprocessors, verify onchain Balances, calldata, even addresses under wraps Defi without whales camping your wallet Alpha that breathes Throughput keeps climbing Gpu today, hpu tomorrow Targeting thousands of tps as the hardware comes online Privacy that scales with usage, not against it Mainnet + $ZAMA slated for late q4 Delegated proof of stake with operators you already know Fees tied to compute, stake tied to security Composable, programmable confidentiality across the evm Builders Deploy a confidential erc20 Ship a sealed-bid auction Wrap your strategy in ciphertext and keep the yields real The privacy meta is loading #Web3 goes quiet when it needs to be loud on verification See you at mainnet @zama_fhe #ZamaCreatorProgram

613

UFC fandom goes on-chain @JoinFightID x UFC turns timelines into ledgers and engagement into position size TGE season is upon us Facts - ~$183m phase 2 demand, 122x oversub at peak - 500k+ signups live - Four active ufc fighters came in as angel investors and advisors - Solana rails for real-time predictions - Pre-tge audit cleared by peckshield What it unlocks - fight.id passport for on-chain identity and reputation - Fight points that map to airdrops, vip access, and governance - Skill-based predictions with $FIGHT rewards and fee burn mechanics - Stake-to-join fighter clubs and prize$fight bounties - Ugc flywheel via holoworld ai for scalable creation Near-term timeline - Season 2 fp snapshot nov 1 - TGE q4 2025 - Prediction markets in december - Prize$fight debut at ufc abu dhabi in january Creator allocation notes - 0.25% of supply reserved for creators - qualified ugc gets a fixed $100 allocation - leaderboards and fp multipliers determine weight Signals i care about - exclusive, multi-year ufc license - cz nod + mainstream coverage - 500k users before token - revenue beyond token flows via merch, fees, partnerships Risks and edges - fdv anxiety vs distribution cadence and burns - kyc friction vs brand-grade compliance - exchange liquidity vs early on-chain depth Sports x web3 winners build with real ip, real users, measurable skin-in-game $FIGHT has the position and the pipeline to ship a clean lap if execution stays this tight #UFC #Web3 #FIGHTID @JoinFightID @HologramLabs @HoloworldAI

2k

spent the afternoon pushing private swaps through zaïffer on the @zama testnet wrap eth → cETH, route through existing dapps, unwrap back when done same wallet, no bridges, no new chain, and the flow felt… normal in a good way the difference clicks when you realize it’s FHE zk proves what happened after the fact FHE lets you compute while data stays encrypted your orderflow, positions, even parameters stay invisible yet usable this isn’t a toy either $130M raised and genesis operators like @P2Pvalidator and Artifact Staking bringing mpc and enterprise grade infra fhEVM means solidity devs don’t have to relearn their craft to ship private apps why it matters on chain strategies without alpha leak private payments with auditability where it counts encrypted ai inference on sensitive data without data escape pro tip for the testnet wrap > swap or farm > unwrap track slippage like normal but enjoy the silence #Zama #FHE #ZamaCreatorProgram @ZaifferProtocol what would you build if privacy was the default?

1k

Gm Yapper ☕️ Kindred x @SeiNetwork 25+ iconic IPs from Teletubbies to Astroboy are turning into persistent onchain companions with memory, emotion, and the ability to transact on your behalf With @Kindred_AI the consumer layer of AI gets: - real-time interactions at scale - evolving onchain state, traits, and commerce - a unified economy powered by $KIN while Dark Matter fuels engagement Why @SeiNetwork matters: - low-latency, high-throughput infra so companions feel live, not laggy - native composability across apps so one presence follows you everywhere Debate time: What’s the bigger unlock recognizable IP that people already trust, or the infra that makes them feel alive in real time Reply with the next IP you want to see wake up and why @Kindred_AI #Kindred #AI

915

Gut says we’re going private-by-default onchain with FHEVM There are a lot of low-effort takes on “privacy coins” @zama_fhe is not launching a new chain They’re wiring Fully Homomorphic Encryption into smart contracts so apps compute on encrypted data without decrypting News will only break on official channels or a team member’s account Devs: - Builder Track → ship a dapp on FHEVM - Bounty Track → build tools so FHE gets easier for Everyone: - Golden Ticket sends top builders to DevConnect Buenos Aires and the Zama World’s Fair - Last seasons saw 1,300+ submissions, 433 serious projects, $45k rewards - Creator Season 3 adds $50k for real creators and the OG NFT 003 for the top 1000 Stack: - TFHE libraries and Concrete ML so you don’t need a PhD - Deploy on Ethereum, Solana and friends while keeping UX clean and data sealed - Compliance checks, fraud scoring, private DeFi, AIinference all without exposing raw inputs Timeline: - $ZAMA TGE November 2025 - Mainnet on Ethereum also targeted for November Imagine putting your kid through college and they end up shipping encrypted credit engines and private analytics Apply now and start building the apps people actually trust #ZamaCreatorProgram #FHE @zama_fhe @randhindi

965

Privacy meta is shifting 🚢 From bolt-on compliance to encrypted-by-default compute The stack making it practical: - @zama_fhe Concrete Compiler: Python → encrypted circuits - Automatic tuning across speed/precision/noise, no crypto PhD required - Fits real workflows: privacy-first AI assistants, medical analytics, confidential finance, encrypted social Onchain angle: - FHEVM kits already map to confidential AMMs, sealed auctions, private voting while keeping composability - Encrypted mappings and client-decrypt flows preserve UX and EVM standards Why it matters: - Devs iterate in Python, ship encrypted logic - Enterprises align with privacy regs by design - Users get trust without exposing raw data $130M raised suggests this moves from theory to scale. Compilers defined the last wave (C, LLVM). Concrete can define privacy-preserving AI’s adoption curve Curious to hear @randhindi’s take on which goes mainstream first. Builders, quote this with what you’d ship in Concrete and where you’d plug FHEVM in #ZamaCreatorProgram

371

In the twisted way X’s algo works, I ended up farming FP on @JoinFightID First it was that UFC Octagon spotlight clip. I engaged. Then the feed started serving me more fight + AI + Solana threads, especially from folks talking $FIGHT and @HoloworldAI. At the same time I was posting about identity, reputation, and creator tooling. The algo connected the dots: Ignas likes Web3 sports, AI, fan ownership → Ignas must like FightID The numbers aren’t background noise either. 500K+ sign-ups, $183M raised, 122× oversub, multi-year UFC rights, Solana throughput. $FIGHT penciled at 10B total, ~935M circulating, FDV ~$150M, market cap around $14M. Pre-TGE momentum with real users is rare in fan token land Here’s why this setup clicks for me: • FP is soulbound and earned by predictions, quests, UGC reputation over mercenary capital • $FIGHT ties staking, governance, and fees to fan actions programmable fandom • Ava Studio by @HoloworldAI spins threads into cinematic clips content scaled at attention speed • $HOLO staking routes allocations and exposure creators get an on-ramp, fans get signal • Weekly cards, Prize$Fight pools, club staking loops that compound engagement instead of draining it Even a “fan economy” can have its day when catalysts line up: • UFC rights baked in • TGE late November • Anti-bot mechanics via FP • Cross-chain path (Solana → BSC) and Raydium/Pancake listings on deck I claimed my FightID, linked X, started stacking FP on weekly matchups, and I’ll likely sponsor a small Prize$Fight just to test the rails. If the FP graph stays meaningful post-TGE and creators keep shipping with Ava, this could be the first time sports identity and AI-native participation form a sticky loop Degen mode on, but measured. $FIGHT $HOLO #Web3Sports #UFC @JoinFightID @HoloworldAI

646

Privacy compute is breaking out of the lab and into the stack @zama_fhe is pushing Fully Homomorphic Encryption to the edge Compute on ciphertext, end‑to‑end confidentiality, verifiability on EVM - No new chain - FHE smart contracts across L1s and L2s - Coprocessors slash costs, mainnet rollout targets 2025 Builders, think in use cases DeFi yields calculated blind, liquidation bots without leaking strategy KYC where identities prove compliance without revealing raw data AI models scoring health or credit on encrypted inputs All auditable, all private Signals are strong Confidential tests with J.P. Morgan $57m Series B Open source tooling moving fast Zama token powers fees, staking, governance across the protocol Market size dwarfs market share here Private compute touches finance, identity, payments, AI When privacy becomes the default surface area, distribution follows How to get an edge now: - Ship a demo with FHEVM - Benchmark gas with coprocessors - Map which parts of your app can stay encrypted end to end - Start with one function, expand to full flows Gradually, then all at once The moment real users demand confidentiality, the only apps that matter will have it baked in Season 3 for creators is live, the reward pool expanded, a thousand slots for OGs Make noise, but more importantly, make working privacy $ZAMA #ZamaCreatorProgram @zama_fhe

773

Per @zama_fhe testnet data: fhEVM just clocked 5,000 TPS on encrypted swaps No ZK prover tax, no input leaks Validators see ciphertexts only, MEV stays blind Solidity runs native Roadmap check: - FHE ASICs in flight to push from ~20 TPS to thousands, targeting throughput that outpaces public compute - Dedicated rollup with @conduitxyz using $ZAMA as gas for confidential contracts at scale - Open dev tools + cohort set to flood launchpads with encrypted apps Thesis: - Private RWA flow hits $50B by mid-2026 as funds demand verifiable secrecy - If counterparties can prove rules without revealing state, liquidity concentrates where privacy and compliance meet Watch: - Encrypted DEX RFQs, private credit scoring for lending books, sealed-bid auctions without MEV leakage, onchain KYC attestations that never expose raw data Who shorts privacy while hardware catches up? @zama_fhe #ZamaCreatorProgram @randhindi

662

Gm gkindred fam ☕️ When AI understands how you feel, everything else clicks @Kindred_AI’s Emotion Engine + multimodal interface lets companions read context and respond with warmth across text, voice, and XR Then they act: tasks, purchases, and daily flow in one thread Why I’m paying attention: ︎- Cultural cold start solved via 25+ iconic IPs and existing fan trust - Companion sessions become real merchant revenue rather than vanity chat ➯ $KIN ties usage to value via transaction-driven buybacks and deflation ⇦ Onchain presence on @SeiNetwork gives agents a fast, owned home Net effect: one relationship that unifies productivity, commerce, and care Which unlock matters most to you right now? Emotion Engine, IP moat, or onchain home Quote this with your pick @Kindred_AI @KaitoAI #kindredai

275

Trust scales when computation never leaks The @zama_fhe stack is pushing FHE across EVM + AI: - FHEVM for confidential contracts, Concrete ML for private inference, TFHE-rs for performance - Web3 Firewall guarding flows, all open-source and 100x faster than five years ago Updated Numbers: - 230 TPS live and sub ms bootstrapping Roadmap: 1,000 TPS Q4/2025, 100k TPS 2029 DeFi, lending, sealed auctions, identity proofs without data exposure are now in scope Season 3 #ZamaCreatorProgram is open for creators, devs, researchers to ship private matching and encrypted agents Which use-case would you deploy first with FHE on L1/L2? confidential DeFi, AI agents, or SSI reply with your pick! Dive deeper into Zama today 😎 @zama_fhe @randhindi #ZamaCreatorProgram

1k

SETTLEMENT RAILS x CONSUMER FLOWS 1) @RaylsLabs institution‑grade dual chain linking private bank networks to public liquidity; ZK attestations for auditable privacy; issuance rails for digital bonds, debt, and structured products; KYC/AML alignment and a CBDC integration path for regulated scale 2) @useTria chain‑abstracted wallet and payments stack; BestPath AVS on Arbitrum’s validator layer routes across 70+ networks with lowest‑cost execution; non‑custodial security, programmable wallet logic, and a $650K Attention Capital Markets program for SNAPS and cSNAPS over 5 months Outcome: privacy where required, liquidity where it counts, UX that feels instant Coming up: Tria TGE late 2025 and product AMAs from Rayls Builders worth watching

69

Ever tried to build private logic on-chain and felt forced to choose between math and secrecy? That’s the wall Fully Homomorphic Encryption breaks and @zama_fhe ships the stack that actually runs it in the wild - TFHE-rs does real arithmetic on ciphertext with optional GPU acceleration - Concrete compiles a practical slice of Python straight into encrypted programs - FHEVM brings confidential-by-default smart contracts so your data stays locked while the chain still verifies the logic The missing piece for scale is performance and Zama’s Homomorphic Processing Unit hits that from the hardware side - Open source - FPGA-based - Faster and more energy-efficient than general CPUs or GPUs for FHE workloads -> It’s an encryption-first computer that makes privacy compute feel like a normal dev target instead of a science project I’m lining up a Season 3 mini series: - TFHE-rs speed tests - Concrete workflows - A simple confidential-contract demo end to end Which one should I cover first? If you’re deep in FHE or attending @fhe_or events I’d love your take on what unlocks adoption faster performance gains or dev ergonomics #ZamaCreatorProgram #FHE @zama_fhe @randhindi

300

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