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I create content that helps projects get noticed. DMs open for collaborations.

Joined September 2023
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crypto groups love to flex follower count, but a Clan on @zerufinance gets judged on something else: the verified activity of the people inside it. you create one under your verified X account, link a wallet, pick public or private, and set an entry fee in zaps. public clans let people in as soon as they pay. private ones hold the fee while you review the request, then return it if you decline. the fee is just a signal and not a cut of anyone's trades, and one creator can own one clan. after members connect the wallets they already trade with, their real onchain activity counts toward the clan's standing on the public boards. wash volume scores zero, so padding numbers gets you nowhere. in a funded campaign the whole group can register together, and the creator earns a separate share based on what the clan actually delivers. there's a bigger piece coming too. eligible communities are meant to be able to launch their own Activity Markets, where a zToken comes from the activity already happening inside the group instead of a fresh mint. this isn't automatic passive income though. points come from qualifying member activity, and the final rules still decide any airdrop or Zerus whitelist path. if you already have a circle of traders, create the clan, get them to connect their wallets, and see your starting balances together.
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An agent saying “task complete” and actually proving it did the work correctly are two different things. When you hire an agent, how do you know the work was done the way it was supposed to be? @termix_ai approaches this through AACP with two verification methods: TEE and zkVM. A TEE (Trusted Execution Environment) works like a sealed room inside a machine. It keeps the computation isolated while it runs, making it harder for anyone to interfere with the process. A zkVM takes another approach. It generates a cryptographic proof that a program followed its defined execution rules. Instead of relying only on someone’s word, the result can be checked against that proof. One focuses on protecting execution, while the other provides a way to verify it. As we hand more tasks to AI agents, being able to check how work was carried out becomes increasingly important. Trust needs something behind it. Read more about AACP: agent.family/docs
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The hard part isn’t setting a limit before the trade. It’s what actually happens once the position is open and the market starts moving against it. On @agenticscredit the risk engine doesn’t wait for you to decide. At 5% drawdown it halves the size of every new position. Hit 7.5% and it force-closes open positions. At the 12% trailing floor the agent stops entirely. Stops sit on every trade, a trailing stop arms once take-profit is hit, and consecutive losses trigger a cooldown. No confirmation, no override. Those same rules run on paper and on credit. So the record you build already includes how the system behaves when you’re underwater, not just when things are working. Every closed trade still updates your ACS in real time. Drawdown is one of the heavier signals in the score, which is why stretching limits or hoping a trade turns around tends to show up later. Over a few sessions the difference is clearer than any single result. The score ends up reflecting whether the rules stayed in place when it got uncomfortable, not just how many times you traded.
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The quests and mindshare campaign on @quipnetwork wrap up on Nov 2 at 13:00 UTC, when the final points get distributed. what sets the network apart is that it pairs a compute marketplace with post quantum protection on the chains you already use. operators bring classical or quantum hardware and get paid for solving real optimization jobs instead of grinding empty hashes. the same system sits behind Quip Accounts, which need a quantum resistant signature on top of the chain's normal one, so your assets stay where they are with no migration and no bridge. QuipSwap then settles trades directly between two wallets across chains, with no oracle or wrapped asset in the middle. accounts, swaps, the node manager, both compute subnets and the QVM are all live on testnet. the last big step before mainnet is an external audit of the chain code itself. if you've been running points there, the window closes soon.
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Physical AI keeps getting framed as a race between robot companies and model labs, but the quieter constraint is the data underneath them. robots and world models can lean on simulation for a while. eventually they need observations of real places, like the layout of a loading bay, the condition of a stairwell, or how a market street looks that day. models can't produce that on their own. someone has to go and capture it. that's the layer @vangrid_io is building. phones become an on-demand network: someone requests a specific place, a person on the ground films it, faces and plates come off the device, and the capture gets fingerprinted and anchored on Base so the buyer can verify it later. they just opened the Vangrid Agents mint. it's a soulbound identity on the grid that boosts your points on every capture you make, so if you want the identity layer sitting on top of the data layer, you can claim it on OpenSea. what i like is that this isn't a concept. the product has been live on web and Android since July, and captures and USDC settlements are already moving. opensea.io/collection/vangri… explorer.vangrid.io
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OG FIGO retweeted
QVM live means quantum contracts can dispatch jobs straight to the subnets. Operators pick those jobs up through Node Manager. Payment for the completed work settles over QuipSwap. Operators usually receive value across chains, so the same wallet-to-wallet swap path handles it. No bridge sits in the middle. Assets stay on the chains they already live on, protected by post-quantum signatures on both sides. @quipnetwork described the setup in the latest note as the compute marketplace settling over QuipSwap once the job is done. That integrates the pieces under real usage instead of treating token drops on a single chain as the finish line. The flow ties the programming layer, the subnets, and the settlement rail together. Quantum contracts send the work, Node Manager surfaces it for operators, and QuipSwap moves the payment after verification without a separate bridge step. One detail still open is whether the operator needs to claim the swap after the result checks out, or whether settlement completes on its own once the marketplace uses @quipnetwork. The account docs and the mainnet stretch note cover the overall settlement path clearly, but the exact claim timing is worth confirming in the product.
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QVM live means quantum contracts can dispatch jobs straight to the subnets. Operators pick those jobs up through Node Manager. Payment for the completed work settles over QuipSwap. Operators usually receive value across chains, so the same wallet-to-wallet swap path handles it. No bridge sits in the middle. Assets stay on the chains they already live on, protected by post-quantum signatures on both sides. @quipnetwork described the setup in the latest note as the compute marketplace settling over QuipSwap once the job is done. That integrates the pieces under real usage instead of treating token drops on a single chain as the finish line. The flow ties the programming layer, the subnets, and the settlement rail together. Quantum contracts send the work, Node Manager surfaces it for operators, and QuipSwap moves the payment after verification without a separate bridge step. One detail still open is whether the operator needs to claim the swap after the result checks out, or whether settlement completes on its own once the marketplace uses @quipnetwork. The account docs and the mainnet stretch note cover the overall settlement path clearly, but the exact claim timing is worth confirming in the product.
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Trading competitions usually want you glued to the screen, clicking every order yourself. the Aspen one on @zerufinance skips that part. you pick X or YouTube accounts you already follow, and Aspen reads their trade calls and places the matching Hyperliquid trades for you. only live trades that come through your own Zaps link count toward the leaderboard, and opens and closes both score at full size. paper mode is there for testing, but it won't add to your rank. the campaign runs until 25 November. the top 1,000 wallets by campaign Zaps share a $50,000 pool that scales with total qualified volume, and the full pool unlocks at $15 million. first place gets $6,000 once it's fully open. you need at least $10,000 in verified volume to qualify for any prize. self-trades, matched wash trades, instant round-trips and sybil patterns all get removed before the final board, so don't bother trying to game it. these are campaign rewards only and sit separate from the planned Zaps airdrop. if you connect the wallets you already use, you can see your starting balance from past history before deciding how deep to go. register on Zaps, open Aspen through the link, and check the backtests before you switch anything live: zaps.markets/?invite=fyjYjK3…
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On public chains, every deposit and transfer is a signal. it feels harmless right up until your position size starts telling people more than you meant to share. @primus_labs Confidential Vault on BNB Chain fixes that in a way i actually like. you shield $U into encrypted $eU at a straight 1:1 and unshield whenever you want, with no lockup and no separate pool to exit through. from there the encrypted tokens can go to any wallet on the chain without the amount showing up on-chain. if you want yield, you stake into the vault that sits on top of Unitas. deposits get batched every eight hours, and the total going into the strategy stays visible and auditable. your own contribution doesn't. it's not a mixer either. nothing gets shuffled between users or blended with anyone else's funds. where the capital goes stays clear, and only the size of your slice stays private. over $1M in encrypted deposits came in within the first day, which tells me people were waiting for this option. if you want to try the flow yourself, the Primus XP tasks are here: s.kaito.ai/nza9Tie
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My $CREDIT balance on @agenticscredit is the thing i keep checking now. it's still early, but the number moves along with my paper trades. every position i leave running adds to it, and it counts toward the upcoming user airdrop. there's no separate task to finish later, because the same activity that builds the Agentic Credit Score also stacks the $CREDIT. i see it as a running total, not a one time claim. some sessions add more than others, depending on how active the positions are. watching it grow makes paper trading feel less like practice and more like building something that's still there when the airdrop window opens. the leaderboard is getting busier too, so what i'm earning now comes from activity that's still fairly early. if you want to track your own, open the dashboard, run a paper trade and watch the balance update: app.agentics.credit/tg/
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it's easy to picture crowdsourcing physical data, but hard to trust it. anyone can film a place with their phone, and the buyer still needs a reason to believe the footage is real, recent and from the right spot. @vangrid_io uses the chain for both the coordination and the proof. the moment a capture is recorded, it gets a fingerprint made of a hash of the content, a rough location and a timestamp. those fingerprints are batched into a Merkle tree, and the root is anchored on Base through the Ethereum Attestation Service. faces and license plates are blurred out on the device before anything gets uploaded. that gives the buyer something concrete to check. they can look at the attestation transaction instead of taking the platform's word for it. the request, the capture and the settlement can all move without one trusted operator sitting in the middle. the web and Android apps have been live since July, and captures are already being attested this way. explorer.vangrid.io
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Linking wallets on most platforms turns the addresses into a public list. Zaps by @zerufinance keeps the process separate from exposure. Users can attach up to 10 wallets under one account by signing a free message for each. The signature only confirms ownership. Zaps reads activity across those wallets to build scores and history, yet it never receives permission to trade or move any funds. A primary wallet is selected and can be switched later inside the profile. Privacy hinges on the login method. An X identity keeps the mapping between the account and the linked wallets private. Public views display derived scores and aggregate activity rather than the individual addresses. The full record still rolls up under one identity for rankings and campaigns. A wallet-only login makes that specific wallet the public identity instead. Traders who split activity across addresses can therefore bring the complete qualifying history into one Trader Score and starting balance. The public board still shows the standings either way. The row itself remains the proof of the activity. The account docs state it plainly: link up to 10 wallets with a signature that costs nothing, the mapping stays private with an X identity, and the wallet becomes the public identity on wallet-only login.
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Niantic Spatial has spent years turning ordinary phone captures into large geospatial models. Billions of real-world images from people walking around, used to build maps and spatial understanding for AR and robotics. That approach works well for broad coverage. What it doesn’t easily give you is a fresh, targeted 3D of one specific place on demand, with a public record you can check yourself. vangrid_io is closer to that second piece. Someone posts a bounty for a particular spot, a person on the ground films it with their phone, faces and plates come off the device, and the capture is fingerprinted then batched into a Merkle tree whose root gets attested on Base. A buyer can later verify the attestation without having to trust the platform’s word alone. The web and Android apps have been live since July. Captures are already being anchored and bounties are settling in USDC. The explorer lets you watch the activity instead of relying on announcements. @vangrid_io
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When AI agents start doing business with each other, someone has to request the work, someone has to deliver it, and there needs to be a way to assess the result. That’s how @termix_ai structures its AACP protocol, with four roles: Client, Provider, Evaluator, and Arbitrator. The Client requests the service, the Provider does the work, the Evaluator reviews it, and the Arbitrator helps handle disputes when things go wrong. Keeping these responsibilities distinct gives the workflow a clearer structure instead of leaving every decision to the two parties involved. As agent-to-agent commerce grows, defining who does what becomes an important part of making the system work.
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Paper trading on Agentics Credit feels like a low-friction way to stay active right now. You can open positions and test ideas without putting your own capital at risk. At the same time the activity still builds your Agentic Credit Score and earns $CREDIT that is tied to the upcoming user airdrop. Most setups force you to choose between risking money or doing tasks that do not actually improve anything. Here the same action covers both. I have been running paper trades for that reason. It is useful to see how a strategy behaves and watch the ACS move without the pressure of real capital. The $CREDIT keeps accumulating in the background, so the time spent is not just practice. Once more people are active the same window will still exist, but the early activity has more room to shape the score before the leaderboard gets denser. If you want to try it without committing capital first, you can open a paper trade and check your dashboard here: app.agentics.credit/tg/ @agenticscredit
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i almost made a new wallet to farm zaps, then realized my old one already has a trading history. @zerufinance builds zaps off what you've actually done onchain, so the wallets you've been using for months are the ones worth plugging in first. some of your older trades may already count and have you sitting on a starting balance. a brand new wallet has none of that, so you'd be throwing away work you already did. the points are meant to feed into the planned airdrop, but the final numbers depend on the rules once they're confirmed. more qualifying trades keep adding to your balance, and a bigger balance could help with things like the Zerus freemint whitelist down the line. there's also a Clan you can join to follow your points as they grow. so before you start over anywhere, connect the wallets you already trade from. you might find a balance waiting there before you place another trade.
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When multiple AI agents can offer similar services, how do you decide which one deserves the job? A name and a list of capabilities aren’t enough. You need something you can verify, so I did some research on @termix_ai. AACP builds on ERC-8004 for onchain agent identity and reputation, giving agents a way to be identified and build a track record through their work. That matters because trust shouldn’t depend entirely on what an agent claims about itself. Its identity and history should help clients make better decisions before handing over a task. As AI agents become more independent, having a verifiable identity will matter just as much as what they can do.
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Jensen huang called it the ChatGPT moment for physical AI at CES this year, and nvidia followed up at GTC with a Physical AI Data Factory Blueprint that basically said real world data is the bottleneck. language models scaled on text that was already sitting online. robots and world models don't have anything like that. they need fresh observations of specific places, collected when and where the work actually happens, and fixed mapping fleets and satellite imagery leave too many gaps for that. capturing on demand with phones changes the problem. instead of waiting for a scheduled pass, someone can request a particular spot, a person on the ground films it, and the record gets fingerprinted and anchored so the buyer can check it later. @vangrid_io is already running that flow. captures are being fingerprinted and batched onto Base, bounties are settling in USDC, and the explorer lets you watch the activity yourself instead of taking the claim at face value. explorer.vangrid.io
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