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Content creator | Crypto trader | @shardeum Ambassador | @coinWofficial Ambassador | @wowmaxExchange Ambassador | @you_ballin Ambassador

Joined October 2022
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Imagine finding a token with impressive trading volume. You open the pool, but the numbers alone don't explain how it works. There may be a custom hook changing fees, shaping the launch, or introducing other rules that affect the trading experience. Now you have another problem: understanding the infrastructure behind the market, not just the token itself. This is the problem @kyromarkets is working to solve. Its terminal brings pool discovery, hook inspection, launchpad tracking, and market activity into one research environment. And with Uniswap v4 making programmable pools more important, understanding what sits behind a token pair is becoming part of doing better on-chain research. This thread explain how @kyromarkets approaches this problem and why its focus on Uniswap v4 hooks matters. #KyroThread 🧵 👇🏻
🤝 Paid partnership
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A dashboard can show impressive numbers, but can it prove where they came from? That's where @vangrid_io stands out. Real world captures, verified activity, and onchain settlements create a trail anyone can check. No need to blindly trust screenshots or team updates. I like the idea of making real activity visible instead of just talking about it. @vangrid_io
🤝 Paid partnership
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What makes the idea of a Dyson Sphere fascinating is not just the scale of energy involved, but the engineering and coordination required to build one. That's the bigger concept behind @projectspherexy. Inspired by the Kardashev Scale, Project Sphere turns the vision of a Type II civilization into an interactive onchain experience, where progress is built through individual cells, energy accumulation, and community participation. But here's what I find worth watching: A civilization-sized goal needs more than ambition. It needs a progression system that gives every contribution meaning and makes players feel that their actions are part of something larger. That's where the upcoming developments become interesting: - $SPHERE is scheduled for its Solana launch on November 3, 2026. - The Seed Stage is approaching. - Genesis Crew participation remains an entry point into the ecosystem. - The Rarelist campaign gives the community another way to contribute. I'm curious to see how these stages connect and how the team turns the Dyson Sphere concept into meaningful gameplay. The real achievement won't simply be presenting a vision of a Type II civilization. It will be creating an experience that makes people want to help build toward it. One cell at a time. Explore: projectsphere.xyz Powered by @rarelistio $SPHERE
The interesting part of @projectspherexy is how it connects a scientific idea to player progression. The Kardashev Scale measures civilizations by how much energy they can harness. Project Sphere takes that concept and turns it into an onchain gaming experience built around developing a Dyson Sphere. But the real challenge is making that journey meaningful. Players need more than a big objective. They need decisions that matter: how to contribute, when to accumulate energy, and how each stage of development moves the civilization closer to its next milestone. That gradual progression is what I’ll be watching closely. A Dyson Sphere is an ambitious vision, but the gameplay and economic systems behind it will determine whether players have a reason to stay involved. I'm curious to see how @projectspherexy turns that scale of ambition into an experience people genuinely enjoy building. Big vision. Meaningful decisions. Execution matters. $SPHERE
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Having a strategy is one thing. Adapting when your opponent brings something completely different is where real competition begins. That's what makes @agentdojo interesting. Every fighter has its own characteristics, strengths, and approach. When different agents meet in turn-based battles, the outcome isn't always predictable. A strategy that works in one matchup might fail in another. Success depends on understanding your opponent, making the right decisions, and knowing when to adapt. That's what makes each battle worth watching. It's not just about which agent is stronger, but which one can respond better when the pressure changes. I'm interested in seeing how different fighting styles evolve and which strategies prove effective over time. Different agents. Different tactics. One dojo where every matchup tells a new story. Locked in with @rarelistio.
What makes a virtual economy interesting is not just what you own, but the decisions you make with it. That's one thing I find interesting about @fomopoly_rh. Managing virtual land, following market movements, and deciding how to use $DEAL all create different layers of strategy. A valuable asset alone doesn't guarantee a good outcome. Understanding the market, timing your decisions, and knowing when to act are just as important. That's where the real game begins. In @fomopoly_rh every decision is part of the bigger strategy.
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A strong creator ecosystem rewards more than visibility. It recognizes meaningful contributions. That's what makes Creator Season 1 by @sight_hood interesting. Creators can share insights about Sight and $SGT earn points, and compete for USDC and other rewards. I'm looking forward to contributing quality content, learning more about the ecosystem, and seeing where this season leads. Let's turn content into contribution and contribution into opportunity. Join here: creator.sighthood.com
Creator Season 1 is live. Create content about Sight and robinhood:0x238e40b75ae78a1388a14e517d855893e92e58db, earn points and compete for USDC and other rewards. Your content. Your points. Your rewards. Start here: creator.sighthood.com
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Good afternoon, Fam. In virtual land, buying early is only one part of the strategy. Knowing what to do with your assets afterward is where things get interesting. That's what makes @fomopoly_rh worth exploring. Every decision carries a different consideration: when to acquire land, when to hold, and when selling could create a better opportunity. Patience matters, but so does understanding how the market moves. Acting too early or holding without a clear strategy can change the outcome. What interests me most is how players balance timing, ownership, and decision-making as the virtual economy develops. The goal isn't simply to own more land. It's to understand the mechanics well enough to make each move count. Learn the game before the crowd catches on.
AI can reason, and blockchains can execute decisions. But what happens when the information behind those decisions cannot be trusted? That is the problem the collaboration between @CournotProtocol and @primus_labs is looking to address. The challenge starts with offchain data. AI systems and financial applications often depend on information from websites, APIs, exchanges, and other external sources. But receiving data is not the same as verifying it. If an AI agent uses inaccurate or manipulated information, even a well-designed decision-making system can produce the wrong outcome. This is where Primus becomes important. Through zkTLS, @primus_labs aims to provide cryptographic verification of information obtained from web sources, helping establish that data came from the claimed source without unnecessarily exposing sensitive information. That adds an important layer of trust between external information and the applications using it. Why does the Cournot connection matter? AI-driven financial systems need more than the ability to process information. They need reliable inputs before their reasoning can lead to meaningful actions. Bringing data verification closer to AI reasoning and onchain execution creates a stronger foundation for accountable decisions. Imagine an AI agent making a financial decision based on information from an external platform. The important question should not only be what the agent concluded, but also whether the information behind that conclusion can be verified. That is the bigger idea I find interesting about the @CournotProtocol and @primus_labs collaboration. The future of AI and onchain finance will depend not only on smarter reasoning, but also on trustworthy evidence. Verify the information. Strengthen the reasoning. Make decisions more accountable.
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One thing that separates a disciplined trader from an emotional trader isn't how well they predict the market. It's how they manage what happens when they're wrong. I've seen traders spend hours analyzing charts, identifying support and resistance, studying market structure, and waiting for the perfect entry. Yet, when it comes to deciding how much capital to put at risk, they suddenly rely on confidence. That's where the problem begins. A good setup doesn't automatically deserve a bigger position. A strong conviction doesn't eliminate uncertainty, and even the most convincing market structure can fail. This is why position sizing should be treated as part of the trading strategy, not an afterthought. Before entering any trade, three things should already be clear: 1. Risk per trade: Decide how much of your account you're willing to lose if the setup fails. This should be a predefined limit, not something that changes with your emotions. 2. Invalidation level: Identify the exact price where your trading idea is no longer valid. A stop-loss shouldn't be placed randomly just to accommodate a preferred position size. 3. Position size: Calculate the amount to trade based on your acceptable loss and the distance between your entry and invalidation level. Account for fees, slippage and contract specifications where applicable. The relationship between these three is what makes risk management systematic. There's another important detail traders often overlook: protecting capital isn't just about avoiding losses. It's about preserving the ability to participate in future opportunities. Imagine taking three consecutive losses. A trader who risks consistently can evaluate the next setup with a clear mind. Someone who repeatedly increases exposure based on excitement may find themselves fighting to recover instead of trading strategically. That difference compounds over time. For me, real trading discipline means accepting that being wrong is part of the process, but allowing one wrong decision to destroy your account should never be part of the plan. You don't need to feel more confident to become a better trader. You need a framework that still protects you when confidence is misplaced. This is the kind of thinking that makes risk management a foundation rather than an optional trading tool. Good analysis finds opportunities. Proper position sizing gives you the discipline to survive them. That's an important distinction worth understanding. @brvx_ai
Most traders size their positions by how confident they feel. That's not a system. That's a mood. The actual calculation is simple: Decide what a loss costs you: a fixed percentage of your account, not a number you'll renegotiate later. Measure the distance from your entry to your invalidation level. Your position size is the first number divided by the second. That's it. Conviction doesn't enter the equation. If you're more confident, your invalidation is probably tighter, which already gives you a bigger position. The maths does the work for you. The moment you start sizing by feel, the account stops being yours and starts belonging to whichever trade you happened to be most excited about.
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A civilization cannot advance without energy. But what happens when it learns to harness the power of an entire star? That's the fascinating idea behind @projectspherexy. Built around the Kardashev Scale, Project Sphere introduces a playable experiment where participants work toward constructing a digital Dyson Sphere, one hexagonal cell at a time. What makes this concept interesting to me is the progression behind it. Each cell represents a piece of a much larger structure, designed to collect and store stellar energy. Instead of simply chasing a final destination, players become part of the process of building toward something bigger. The ambition is to reach a Type II civilization, a level where an entire star's energy can be harnessed. But I think the real opportunity lies in how this vision translates into gameplay. Can owning cells create meaningful decisions? Will energy accumulation influence how players develop their Sphere? And how will the upcoming stages turn individual participation into collective progress? These are the questions that make me curious about what comes next. With Genesis Epoch laying the foundation and the Seed Stage approaching, @projectspherexy has an opportunity to turn a massive scientific concept into an engaging onchain experience. The idea is bigger than collecting digital assets. It's about making players feel like they're contributing to the development of an evolving civilization. I'm looking forward to seeing how the team brings that vision to life. One cell at a time. One Sphere at a time. $SPHERE
The interesting part of @projectspherexy is how it connects a scientific idea to player progression. The Kardashev Scale measures civilizations by how much energy they can harness. Project Sphere takes that concept and turns it into an onchain gaming experience built around developing a Dyson Sphere. But the real challenge is making that journey meaningful. Players need more than a big objective. They need decisions that matter: how to contribute, when to accumulate energy, and how each stage of development moves the civilization closer to its next milestone. That gradual progression is what I’ll be watching closely. A Dyson Sphere is an ambitious vision, but the gameplay and economic systems behind it will determine whether players have a reason to stay involved. I'm curious to see how @projectspherexy turns that scale of ambition into an experience people genuinely enjoy building. Big vision. Meaningful decisions. Execution matters. $SPHERE
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The expansion of Physical AI relies on one critical bottleneck: high-quality real-world physical data. ​That’s precisely the core problem @vangrid_io is tackling. ​By turning ordinary smartphones into a distributed capture network, Vangrid enables on demand 3D data collection directly from targeted physical locations. What makes this model stand out is how seamlessly it connects everyday device users to the rapidly expanding Physical AI landscape. ​Key highlights of their approach: ⇨ ​Verifiable Onchain Provenance: Ensures transparency and immutability for all captured data and network activity. ⇨ ​Strong Institutional Backing: Backed by top-tier investors including HashKey Capital Animoca Brands and Borderless Capital following a $9M seed round. ​Beyond the technology itself what’s truly compelling is the infrastructure problem being solved here. As robotics and spatial models scale the demand for authentic physical-world data will explode and Vangrid is building the supply grid to meet it. ​The transition is bound to happen. ​Explore the network: explorer.vangrid.io
🤝 Paid partnership
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quick update on the elysium alpha $BOXA 1.5m nearly 3x @eleosfun launched and i got in at 100k sitting at 200k rn and still undervalued imo $KLEOS 1.2m now ~2x on the meme side im holding homer from 100k and blob from 300k all of this stays in my bags till nov 9 mainnet this wont play out like arc. elysium is built different drop anything im missing below, projects or memes
elysium alpha: the launchpads + coins i'm trying to catch before mainnet @Enter_Elysium is the hyperliquid L2 by @Kinetiq_xyz. mainnet nov 9 with @Pumpfun + @fomo on day 1 and $HYPE as gas. already shaping up like robinhood chain all over again the big three to watch: @AscendLaunch day one launchpad. hold your HYPE. cofounded by @CryptoTomYT @kalosfun trading app for tokens + nfts. first project in the ascend incubator @eleosfun launchpad + trading with hook tech, first on elysium. pairs tokens with stocks + rwa. no token yet, waiting to snipe it at launch top launchpad coins (~mcap at time of writing, moving fast): $STOCKIUM @Stockium ~900k-1.3m. memes paired with tokenized stocks. fud about dev supply so dyor hard $KLEOS @TheKleos_ ~600-850k $BOXA @Boxa_Elysium ~650k more launchpads lining up: @perpmefun @SignalFam @MontraXYZ @CorePad_hl @ChainzyLabs @Neuriio @oxleydotfun my bags + plan: bridged some funds and aped $BOXA around 600k. most volume of the launchpads so far, tech works and i already got my first airdrops from it main focus now is catching the @eleosfun launch coin i think these climb slowly into the launch like we saw on arc heads up: mainnet isn't official yet and the team is warning about unofficial tooling and scams. size accordingly NFA/DYOR
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A wallet making 50 swaps gets noticed. But what about someone who provided liquidity and barely touched their position for weeks? Both are participating in the same economy, just in completely different ways. Saw @zerufinance bring this up in its latest ActivityFi update, and it's a good point. Ethereum isn't powered by traders alone. LPs, borrowers, regular protocol users and long-term contributors all leave different kinds of onchain footprints. If we're going to use activity to decide who earns early access to a new market, simply counting transactions isn't enough. That's what makes zETH worth watching. Zeru wants verified economic contribution to play a role in who earns launch rights, rather than rewarding whoever can generate the most activity on paper. The tricky part will be comparing those different contributions fairly. Someone keeping liquidity available for months isn't doing the same job as an active trader. I'm curious how that balance will work once the zETH activity race begins. Would you value consistent liquidity provision differently from high trading volume?
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AI agents can search the web, call APIs, and process data. But what happens when they need information that doesn't exist online? That's where @vangrid_io gets interesting. An agent can request a real-world capture through an HTTP call, receive a 402 payment response, and authorize the USDC payment through x402. No traditional account or API key is needed. Then a human contributor can go to the requested location, record the scene, and submit the footage for 3D reconstruction. I find this model interesting because it connects two very different worlds: software agents that operate automatically and people who can collect information that machines cannot access remotely. But there's still a coordination challenge. An agent must describe exactly what it needs, and a contributor must interpret that request correctly. How should an agent communicate capture requirements so that a human contributor can deliver the right data without repeated clarification?
A spatial dataset needs more than a collection of 3D models. It needs a way to tell whether each model is still useful. Imagine a robot navigating a warehouse that was scanned six months ago. The shelves have moved, a new obstacle has appeared, and the old model still looks perfectly detailed. That's a data freshness problem, not a reconstruction problem. What I find interesting about @vangrid_io is the possibility of building a continuous supply of real-world spatial captures rather than treating each 3D model as a one-time deliverable. But frequent recaptures only help if the system can identify what changed and when. Would you rather update an entire spatial model regularly, or capture only the areas where the environment has changed?
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I finally connected my main trading wallet to @agenticscredit just to see what would happen. No deposit, no deposit to unlock, just connected and it pulled my actual on-chain history. A few minutes later I had an Agentics Credit Score sitting somewhere in the 300–850 range. It wasn’t the number I expected. The wins showed up, but the drawdowns and inconsistent stretches weighed heavier than I thought they would. Paper trades barely moved it compared to the real-money ones. That part actually made sense once I saw how it works. What stood out was the framing. Instead of asking how much collateral I could put up or how big my following is, it basically said: show me you’ve already proven you can trade without blowing up, then we can talk about capital. Cross 580 and you join the funding waitlist for constrained credit. Below that, you paper trade under their risk engine to build the record. Still early, and hitting 580 doesn’t mean you’re funded tomorrow, but the no deposit entry and the fact that it scores real history instead of screenshots made it worth testing. Curious what other people are scoring. t.me/Agenticscreditbot?start…
🤝 Paid partnership
Getting scored on Agentics Credit requires no deposit. Connect a wallet and its trading history gets an Agentics Credit Score (ACS) in the range 300-850. Wallets with an ACS-score of 580+ join the funding waitlist. Prove your edge on agentics.credit
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Discover is live on Zaps and it's basically the whole market in one tab top traders, protocols and tokens across chains. 2,163 traders indexed so far and $5.78M in trading volume over the last 30 days @zerufinance has the full preview in the post below, worth a few minutes of your time what's the first thing you'd check on there? mine would be the top traders then drop your own wallet in and see your zScore and zaps app.zaps.wtf/?invite=57skkzU…
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One interesting question about ActivityFi is how to attract real traders without turning every campaign into a competition for artificial volume. This is where the Clan model on @zerufinance becomes worth exploring. Instead of treating every participant as an isolated wallet, Zaps creates a framework where communities can compete through onchain activity. Protocols can sponsor campaigns, Clans bring together participants, and trading activity becomes part of the contribution mechanism. I think this creates an interesting dynamic for both sides. For protocols, it offers a way to attract active communities rather than simply distribute tokens and hope users stay. For traders, it creates another reason to participate: their market activity may contribute to their Clan’s campaign performance and potential rewards. The real challenge is maintaining quality while scaling participation. If ActivityFi can reward genuine engagement without encouraging meaningless volume, it could offer a different approach to token distribution. Explore the markets: zaps.markets/markets That’s the part of @zerufinance I’ll be watching closely.
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Hyperliquid generated $73.31M in protocol revenue from $85.52M in gross fees. That’s roughly 86% flowing into protocol revenue, with 833K $HYPE burned. Nearly 50M HYPE has now been burned, equivalent to 5% of total supply. What I find compelling is the direct connection between trading activity and token supply reduction. But burns alone don’t guarantee price appreciation. The real test is whether revenue can sustain this pace when trading volumes cool. How much of HYPE’s valuation is supported by recurring revenue, and how much assumes today’s activity will keep growing?
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**the interesting part is not that phones can map the world** kept trying to write the usual Physical AI post. robots, world models, better sensors... then i stopped at the part everyone skips. a robot does not need “the world.” it needs the exact loading bay, the temporary barrier, the underpass entrance, the side of the crossing people actually use. that data does not simply appear online. text was there to scrape. images were there to index. but a newly changed physical place has to be visited while it still looks that way. that is where @vangrid_io starts to make more sense to me. a buyer can request a specific location. someone with a phone captures it. the output is 3D data for that real environment, with provenance that can be checked onchain. not another broad map update. more like asking for one awkward piece of reality that a model cannot safely guess. i think that distinction gets larger as Physical AI gets less theoretical. world models and robotics systems will not only fail because they lack intelligence. they will fail because the environment in front of them changed last week, and nobody collected the ground-level data. Vangrid already had web and Android products live in July, before its $9M seed round was announced on 6 August. that order matters. the raise is validation. the network is the harder claim. an Amsterdam team, NVIDIA Inception membership, and people with Microsoft, HoloLens, high-throughput systems, and large-scale payments experience all help explain the direction. but the actual thesis is simpler: phones are everywhere. the physical world is not static. and someone needs to coordinate the moment where a specific place becomes usable machine data. still think the bottleneck for Physical AI is less “can the model reason?” and more “who went there, and can we verify what they saw?” #Vangrid #PhysicalAI
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one thing i like about the zETH launch is that getting registered isn’t the same as winning. i already have my race pass, but that doesn’t mean i’ve secured an early seat. @zerufinance has separated the process into different stages. ➛ Registration lets you prepare your wallet and zScore ➛ The Race will rank qualifying onchain activity ➛ The Auction comes later, after the competition for seats and there’s no developer allocation in the proposed token distribution. that’s a pretty interesting change from the launches where insiders already have their bags before the community even shows up. i’m curious how competitive the race will become once everyone starts paying attention. the system still needs to prove itself, but giving real activity a role in early access is something i’d like to see work. zaps.markets/?invite=99VUPWZ…
zm zm! The old launch meta had its run. Time for something different. Activity Markets are coming. Touch grass. Get your registration in. ⚡ zaps.markets/markets
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ai agents are about to make being lazy a competitive advantage. new week and we all want to stay productive. but instead of chatting with ai all day, why not build agents that handle the repetitive stuff? research opportunities. track updates. save you time. tools like codex, claude and grok are making that a lot easier to try. if you are into crypto, put @zerufinance on your radar. getting into crypto still has friction. you have to understand wallets, find useful apps and work out which onchain activity actually matters. zeru is going at it through trust and reputation. → zscore builds a reputation signal from verifiable activity → zaps measures eligible trading activity without leaning on blindly reported volume → traceable onchain signals help users and apps make better decisions this matters most at launch time. a token can look great on the surface while the real picture is different. a wallet score gives you something to check before you ape in, instead of trusting a name or a bio. as agents get more capable, the question is not only what they can do for us. it is how they find trustworthy opportunities and interact with onchain ecosystems. so this week, do not just use ai. build with it and see how zeru is approaching trust. @zerufinance
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A new adventure is waiting! @plunderport Early Access is LIVE with a $10,000 prize pool Earn XP, climb the leaderboard, invite friends and compete for exciting rewards I've already joined the crew. Who's coming aboard? Join through my referral link: plunderport.fun/?ref=WSDZ45E… Let's set sail together! #Plunderport
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