Geek | Researcher | Simplifying Narratives | Curating Alfas | DeFi Maxi | Explorer.

Joined July 2007
847 Photos and videos
Cryptgeek. retweeted
Be an early adopter.
🚨 HISTORY: 16 years ago today, a Bitcoin faucet gave away 5 $BTC/user and 19,700 $BTC total for free, now worth over $1B.
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@HyperliquidX - Everything Exchange GTM Thesis = CEX killer → onchain derivatives prediction mkts Distribution = Community-first, no VC, HIP-3 RWA perps (S&P 500), HIP-4 Options Prediction Markets Monetization = 97% fees → $HYPE buyback/burn, HyperEVM gas Annualised fees = ~$566M ($1.55M/24h) P/Fee ratio = $9.8B / $566M ≈ 17.3x - fair for market leader ETF filings = Grayscale, Bitwise (BHYP, 0.67% fee), 21Shares 170 HyperEVM projects and running native USDH stablecoin EV Insight: - HIP-4 outcome markets just went live on mainnet, this is the biggest unrepriced catalyst right now - The first contract hit $2.38M volume on day 1 - If HIP-4 reaches even 10% of HIP-3's traction ($143M OI), it adds ~$56M/yr in additional fee revenue → more buybacks → lower circulating supply - Layer on ETF approval with Bitwise updated fee schedule April 10 and you have a structural demand shock incoming - The May 6 with 9.92M HYPE or $405M unlock for core contributors hit well, but no dip-buy event, not a reason to avoid
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ACN marks the shift from Solidus Ai Tech into a more unified system. compute. ai agents. incentives. now structured as the AITECH Cloud Network (ACN) bringing these layers into one coordinated stack. interesting to see how this evolves as access expands and adoption is tested. check it out → aitech.io

Solidus Ai Tech is evolving into the AITECH Cloud Network (ACN). ACN brings it all together into one system: - Compute Layer - AI Agent Orchestration Layer. - Economic Layer Check it out: aitech.io
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most people show up when things are obvious. but by then, positioning is already done. @Bullshot911 is still in that earlier phase. the platform is live. people are already creating, engaging, inviting & stacking points as they do. no cap. just activity. & with a tge somewhere ahead, this is the window where participation actually matters. not hype. just timing. start now → bullshot.io
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Cryptgeek. retweeted
AI is touching every facet of daily life. And that includes trading. So today, here’s a quick comparison of leading AI-powered DeFAI trading/agent platforms: → @Cod3xOrg@minara@DonutAI@Infinit_Labs For details, check our infographics. Here are the quick verdicts: ❶ Cod3x → If your main game is perps on Hyperliquid/GMX and you want powerful, customizable autonomous agents that trade like pros while you sleep. ❷ Minara → If you’re more analytics-focused, Minara is arguably the most polished all-in-one “personal CFO” agentic experience for trading with widest asset coverage. ❸ DonutAI → If you want a truly set-it-and-forget-it proactive agent that hunts and executes relentlessly, with strict risk guardrails. ❹ Infinit → If your focus is DeFi yield optimization (lending, LP, and cross-protocol strategies) this is the smoothest “prompt → earn” layer for anyone tired of juggling 10 dApps. - So, which AI trading agent do you use, and what’s your experience with it? Share your thoughts below.
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Apr 16
Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.
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Apr 1
tokenize the world
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Cryptgeek. retweeted
.@isayeed joins the ZIGChain Summit 2026 🌍 From teaching Disruptive Technologies at MIT Sloan to leading global digital practices at NTT Data, Sayeed has built and scaled organizations across continents. Founder, advisor, and technology leader, his work sits at the crossroads of innovation, capital, and execution. Be part of the summit moving capital at scale. 📍 April 28 | Dubai, UAE Join us in person or tune in online: summit.zigchain.com/2026
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Cryptgeek. retweeted
➥ Everyone is staring at AI coins and perps right now I get it, I’m here grinding them too, they’ve been the only things actually moving in a choppy market But if you zoom out, something more important is happening that liquidity in crypto is being rebuilt from the ground up and most people are still trading the surface, not the pipes 1/ What’s actually working in 2026 so far? I break the market into where real flows are going, aside with just narratives: - AI → attention speculative early revenue = $TAO, $VIRTUAL, $RENDER - Perps → trader liquidity fees = $HYPE - RWAs → real yield institutional capital = $ONDO, $SKY - Stablecoins → settlement layer = @tempo, $XPL, $ENA Different narratives, same underlying question of where does liquidity sit, and who controls it? Because based on my real experience, the best performer is a liquidity model Take @HyperliquidX as an example: ppl think it’s winning because of perps, I think it’s winning because it solved something deeper: - onchain orderbook that actually feels like a CEX with deep liquidity without relying on fragmented LPs - sticky pro traders & generates real fees - the hardest liquidity to win That said, $HYPE is how liquidity infra done right Same with @opentensor, but from a different angle that it turned compute into a market Liquidity is now intelligence resources, and all Subnets = specialized liquidity pools for AI Different vertical, same pattern with whoever structures liquidity best → captures the entire category 2/ Why RWAs feel boring but matter more than people think? I’ve been paying more attention to @OndoFinance lately, because it sits where real money is entering crypto this cycle - Tokenized Treasuries & Private credit onchain - Yield that institutions actually recognize So as far as I witness, Crypto is no longer just trading liquidity, but starting to absorb global liquidity And RWAs are the bridge Ethereum holding the majority of RWA TVL isn’t random It’s where compliance is easier to layer, liquidity is deepest and institutions are most comfortable $ONDO is basically playing what if BlackRock flows came onchain… where would they go first? That’s why I see it as underrated imho The real game = Liquidity layers stacking on top of each other, only few looking at this angle cuz this is kinda boring What’s interesting is how these narratives are starting to connect: → Perps are expanding into RWA markets with the support of commodities, rates, etc. → AI needs compute such as GPU, CPU → priced traded like assets → Stablecoins are becoming the default settlement rail → RWAs bring in external yield → anchors the system of all above sectors into one single liquidity layer This is a full-stack liquidity system forming with - stablecoins as base money - RWAs as yield layer - Perps/DEXs as trading layer - then AI/DePIN as resource markets My underrated bet is $ONDO as the top pick, but also the DePIN as liquidity infra DePIN = turning real-world resources into liquid, tradable markets so now I see GPUs as AI liquidity, Storage as data liquidity, Wireless as connectivity liquidity and Sensors/energy as real-world data liquidity And here’s the part that trigger my fomo nerve as AI, RWAs, and even perps all depend on this DePIN layer eventually → AI needs compute (DePIN) → RWAs need data/oracles (DePIN) → Perps need low-latency infra (DePIN) I think it’s the invisible backbone nodody realizes yet So I’m looking back at the market as a whole right now and see: - $HYPE already moved, liquidity capture is obvious here - $TAO already moved, AI hype revenue will push it further - RWAs and DePIN still feel under-owned and haven’t move an inch yet This is where I’m positioned mentally for the cycle Not chasing the loudest charts but tracking where liquidity is getting harder to move once it arrives
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most people wait for signals. but some systems reward showing up early and doing the work. @Bullshot911 is one of them. every action on the platform feeds into a simple loop: create → engage → earn more points • launch a token • interact with others • invite your network no cap on points. just your level of participation. it’s less about speculation, more about how active you are inside the system. if you’re curious how this plays out, worth getting hands-on early. ➠ bullshot.io
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most people think meme coins are chaos. but underneath, there’s always infrastructure shaping that chaos. @Bullshot911 is leaning into that layer. an ai-powered meme token launchpad on @BNBCHAIN chain where tokens can be created in seconds, without the usual technical overhead. not just faster launches. but a different model of participation: • ai-assisted creation • instant deployment • community-driven token narratives it’s essentially lowering the barrier between idea → token → community. the intersection is what makes it interesting: ai × meme economy × on-chain infrastructure. early signals show traction but more importantly, a shift in how quickly communities can form around assets. worth exploring if you’re paying attention to where creator-led token ecosystems are heading. try it → bullshot.io
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defi solved access. but it never solved complexity. too many dashboards. too many protocols. too many manual decisions. this is where DeFAI starts to matter. instead of navigating dozens of interfaces, ai agents become the operational layer: • analyzing markets • tracking wallets • automating strategies • managing portfolios the idea isn’t replacing defi. it’s abstracting the friction that prevents most people from using it effectively. the ai agent economy is still forming, but projects like @PlutonAIHQ are exploring how autonomous agents could coordinate on-chain activity. if this direction plays out, defi may start to look less like dashboards and more like conversations. get started: plutonai.net/waitlist #PlutonAI #DeFAI #AIAgents
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Cryptgeek. retweeted
A New Chapter: Building the Next Generation of Financial Infrastructure Our partnership with Intercontinental Exchange marks an important moment for OKX and for the broader evolution of digital asset markets. ICE has built and operated some of the most important financial infrastructure in the world, including the New York Stock Exchange and global derivatives and clearing platforms. Their decision to invest in OKX, and join our board, reflects a shared belief that digital asset technology will play an enduring role in the future of financial markets. For OKX, this partnership also represents a new chapter in how we approach the United States. In many ways, we view our presence in the U.S. as a blank sheet of paper — an opportunity to build thoughtfully, engage constructively with regulators and institutions, and contribute to the development of market infrastructure that meets the standards of the world’s most sophisticated capital markets. Financial markets are entering a period of structural transformation. Blockchain technology allows assets to move and settle globally with unprecedented efficiency. Artificial intelligence is reshaping how markets analyze information and manage risk. At the same time, expectations around safety, transparency, and investor protection remain as important as ever. The next generation of financial infrastructure must bring these elements together. One area where we see tremendous potential is the development of tokenized securities and digital representations of traditional assets. In the future, issuers may be able to bring securities directly to global investors through modern digital infrastructure, while still benefiting from the governance, market structure, and regulatory frameworks that have long defined traditional exchanges. Working alongside ICE and the broader New York Stock Exchange ecosystem gives us a unique opportunity to explore how these models can evolve responsibly. Our focus is not simply on new technology, but on building durable infrastructure for the global financial system. This includes improving market structure, strengthening risk management and clearing frameworks, expanding institutional access to digital assets, and creating platforms that protect consumers while enabling innovation. OKX today serves more than 120 million people globally and operates under licensing frameworks in major financial jurisdictions. Over the past decade, we have built high-performance trading systems, onchain technologies, payment systems and security frameworks capable of supporting large-scale global markets. As digital assets continue to mature, we believe collaboration between technology innovators and established financial institutions will be essential. Our partnership with ICE reflects this principle. Together we will explore how traditional exchange infrastructure and digital asset technology can complement each other to build stronger, more efficient markets. This investment is not an endpoint — it is the beginning of a deeper collaboration. Our goal is to help shape the next chapter of financial markets, where digital and traditional infrastructure work together to expand access, strengthen trust, and support innovation across the global economy. okx.com/en-us/learn/okx-ice-…
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early isn’t launch. early is infrastructure being shaped. $PLAI | @PlutonAIHQ is building the conversational layer of DeFAI where agents, users, and on-chain systems actually meet. seed done. private done. public access? not yet. wave 1 (founding users) is about access, not incentives. this isn’t an airdrop. it’s a front-row seat to how this layer gets defined. it's #PlutonAI szn. worth considering if you care about how DeFAI actually works. ➡️ plutonai.net/waitlist
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Cryptgeek. retweeted
$AAVE, $UNI, and $SKY as 3 pillars of DeFi: RISK - LIQUIDITY - SCALE ➊ @aave | $AAVE = RISK engine I see Aave as the credit layer of DeFi - Over-collateralized lending - Liquidation oracle risk management - Flash loans - $GHO expansion - V4 capital efficiency upgrades Aave is where leverage is born, it’s battle-tested, multi-chain, still the default money market But it carries real reflexive risk: - current FUD on aave DAO - liquidation cascades, oracle edge cases - now pressure from more capital-efficient players like @Morpho If I want yield from lending or I want to lever, Aave is still the base layer ➋ @Uniswap | $UNI = LIQUIDITY engine Uniswap is about flow - AMM pools - v4 hooks (programmable liquidity) - Unichain - Fee switch optionality Every new token still wants a Uniswap pair, it remains the Schelling point for onchain liquidity Yes, DEX fragmentation is real and competition is strong But if DeFi needs deep, permissionless swaps, Uniswap is still the default liquidity router Lower liquidation risk than lending, but fully exposed to market cycles and volume compression ➌ @SkyEcosystem | $SKY = SCALE engine This is where things get structural, Sky (ex-MakerDAO) is chasing monetary scale - $USDS stablecoin - Sky Savings Rate (SSR) - RWA expansion - Endgame upgrades - MKR → $SKY migration completed Stablecoins are the settlement layer of DeFi, if USDS scales, Sky scales But stablecoin dominance is a different type of risk: - Peg stability - Governance complexity - Regulatory pressure (especially with RWAs) Still, if you believe the next cycle is about stablecoin yield real-world integration, SKY is positioned for that In 2026, I think the market is slowly rotating from pure liquidity games to credit stablecoin efficiency Performance in 2026 depends on #Ethereum upgrades, regulatory clarity, and broader market cycles So these boring protocols suddenly look potential
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Cryptgeek. retweeted
DeFi gave us permissionless finance. AI gave us intelligence. DeFAI merges both and that’s why it’s not a trend, it’s the next evolution. 🧠⚡ DeFi is powerful but complex. Dashboards, bridges, gas, risk models… not built for the masses. AI changes the interface. Instead of clicking 20 buttons, you say: “Optimize my ETH for medium risk.” And it executes. 🤖 Instead of reading 10 charts, you get decisions, strategies, and automation. This is the shift: From manual DeFi → to conversational finance From dashboards → to agents From complexity → to intelligence That’s DeFAI. And this is exactly what PlutonAI is building 🪐 The Gateway to intelligent DeFi. The next cycle won’t just be on-chain. It will be agent-driven. Welcome to DeFAI.
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trust shouldn’t be a feeling! in AI, trust is often implied. a model works. outputs look reasonable. people move on. until it doesn’t. real systems need trust that can be measured, not assumed. with $PERC | @PerceptronNTWK, trust is operationalized: performance is continuously evaluated, drift is detected early, and decisions leave audit trails. models are observed in production, not just tested in isolation. when accuracy drops, it’s visible. when behavior shifts, it’s logged. when uncertainty appears, humans are looped in. trust becomes a property of the system. not a promise in the interface. that’s how AI moves from experimentation to infrastructure.
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