๐’„๐’๐’Š๐’‘๐’‘๐’†๐’“ ยท ๐’„๐’“๐’†๐’‚๐’•๐’๐’“ ยท #CRO

NG
Joined October 2024
Something is cooking in the kitchen ๐Ÿ‘€ $WCM just dropped the teaser with 50 pieces . One Legendary and some of them talk. Coming soon on @EbisusBay She already knows which one is hers. Whoโ€™s watching this one? #WCM #CroFam #NFT @wolfswapdotapp @EbisusBay
Something is being minted in the kitchen ๐Ÿคซโ€จ50 pieces. One Legendary. Some of them talk.โ€จShe already knows which one is hers.โ€จComing soon on Ebisu's Bay ๐Ÿ‘€ $WCM @EbisusBay @wolfswapdotapp @UltApp #cro #nft #wife #kitchen #crofam
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We always like to push the limits of what's possible And our next feature: we do push them all Exotic pairs are coming to Wolfstreet (Wolfswap Launchpad). At first, 6 pairs will be available: crypto-com-chain:native (default), $ULTI, $ULTCAT, $PACK, robinhood:0xfe242d1da8fd04f6a1f80b6d3d807b02e062ad4e, cronus-2:native There's only one catch: no one has done it so far on Cronos, so we are facing a challenge: @dexscreener doesn't support exotic pairs on Cronos for V3 pools We contacted Dexscreener support, and we hope they resolve the issue ASAP. The moment it's live on their end, we will release the feature on Cronos, and new tokens will be able to be paired with any of the whitelisted pairs The feature is designed to reduce the pressure on new tokens, utilize the existing runners, and provide value to the OGs. The benefits of the existing communities having paired tokens are: activity, liquidity, and fewer copy-tokens under the same narrative (hopefully) Will keep posting about the situation and feature launch as soon as we get news from Dexscreener as well ๐Ÿซก
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Can someone do a TA on the Wolfies NFTs 1-year chart ? What phase we entering here ?
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$CROFAM contest is still live ๐Ÿ”ฅ 5,000,000 CROFAM (~$553) prize pool for the top traders. โณ Ends in 5 days. Only 58 traders so far and still early. Top spots are already stacking CROFAM rewards ๐Ÿ‘€ Trade here: wolfswap.app/leaderboard/croโ€ฆ Whoโ€™s jumping in? #CROFAM #TradingContest #WolfSwap #CroFam @wolfswapdotapp
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$CROBONE contest ends in 9 hours on wolfswap 10M CROBONE and 20 CROSkull NFTs (~$221) up for grabs. Only 56 traders so far ๐Ÿ‘€ Already in the top 10? Time to defend your spot. Still outside? One solid volume run could change everything. ๐Ÿ† Trade here: wolfswap.app/r/IBMCRYPT/leadโ€ฆ Whoโ€™s making a last-minute move? #CROBONE #TradingContest #WolfSwap #CroFam @lauraKrullie @wolfswapdotapp
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made another prediction on Stake for some games today. 10 leg multi - 23 odds you can copy the games directly here if youโ€™re on Stake stake.com/sports/home?iid=spโ€ฆ winning is not guaranteed btw. you can try your luck with me.
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Gm CT,Happy new week
๐Ÿค– Made with AI
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3k followers before Novemeber Who says no๐Ÿ˜
Gemini is better than Claude and chat gpt Who says no?
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Who can guess why Davido is the highest?
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Good mornin.. What if your onchain history could help shape the next token launch? Thatโ€™s the idea behind @zerufinance โ€™s evolving ActivityFi vision. Traditional meme launches often focus on creating a token first and attracting attention afterward. ZeruAI is exploring a different approach: let real onchain activity help determine who participates in a new market. The concept connects wallet history, behavioral scoring, and Zaps with a new way to think about token distribution. What makes this interesting is the shift in focus. Instead of looking only at hype around a launch, the model puts more attention on activity that already happened onchain. Itโ€™s an ambitious idea, and the execution will matter just as much as the concept. Iโ€™m keeping an eye on how ZeruAI develops ActivityFi from here. #ZeruAI #ActivityFi #Web3
๐Ÿค– Made with AI
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Morning ITIA family Exploring the vision behind @IThinkItsArt ๐ŸŽจ More than art and PFPs, ITIA is about creativity, identity, and community. Respect to founders @Pe_ITIA and @Iv_ITIA for building this creative universe together. #ITIA
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Loaded Lion #2304 and Wolfies #1213 are the prizes on @wolfswapdotapp ๐Ÿฆ Trade $LOADED and race for top 2 by volume. 1st takes the Lion, 2nd the Wolfie. Ends 1 Nov. Double Season points. A $10+ trade can still open a Mystery Box ๐ŸŽ Two NFTs. Two spots. Board is open. wolfswap.app/leaderboard/croโ€ฆ wolfswap.app/swap @CryptoDanny420 @wolfswapwolfies #LOADED #Cronos #WolfSwap
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One week on @wolfswapdotapp ๐Ÿบ $1.58M traded on the terminal. $1.54M on WolfStreet. 2,301 unique traders. Link your X for +5% points. Wolfie holders get extra boosts and three new perks. Mystery Boxes refilled with 88 NFTs and tokens. AI agent trading is next. Same app. More ways the volume turns into points and prizes. wolfswap.app/swap @wolfswapwolfies #Cronos #WolfSwap #PACK #CROfam
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One thing I find interesting about @primus_labs is that itโ€™s tackling a problem we donโ€™t talk about enough in Web3. How do we prove something is true without exposing everything behind it? Think about using information from a website in a blockchain application. How can the application verify that information without simply asking you to trust a screenshot or reveal more personal data than necessary? Thatโ€™s the kind of problem Primus is working to solve. Hereโ€™s what caught my attention ๐Ÿ‘‡ Chain-agnostic infrastructure Primus is building tools that can work across different blockchain ecosystems. Developers can use cryptographic verification and computation to bring off-chain information into applications without being limited to one chain. zkTLS: Making web data verifiable Web data is useful, but proving where it came from and whether it can be trusted is another challenge. Primus zkTLS aims to make that process more efficient. The team reports speeds over 10x faster than existing alternatives and support for proving large amounts of content, including ChatGPT conversations. zkFHE: Privacy while computing Verifying information is one thing. Working with sensitive information without exposing it is another. Primus zkFHE combines zero-knowledge proofs with fully homomorphic encryption to help make privacy-preserving computation more practical. Potential applications include confidential voting, private auctions and FHE rollups. What I also like is the focus on open technology and collaboration across Web3, cryptography and AI. My takeaway: Web3 doesnโ€™t just need more data. It needs better ways to verify that data while respecting user privacy. Thatโ€™s why Iโ€™m keeping an eye on what @primus_labs is building. The real test will be how these technologies perform in practical applications as adoption grows.
๐Ÿค Paid partnership
What if Web3 could verify internet data without exposing everything about the user? This is the problem space @primus_labs is addressing with zkTLS, a way to make web data verifiable while supporting privacy. Much of the internetโ€™s valuable information still lives on Web2 platforms. Bringing that information into Web3 creates a critical challenge: how do applications verify its authenticity without relying entirely on trust or exposing unnecessary personal data? Hereโ€™s where Primus comes in. Verification over blind trust zkTLS helps applications verify data obtained from existing web services without requiring those services to modify their servers. Privacy by design Web proofs can allow users to prove specific claims about their data without revealing everything behind them, depending on the implementation. Flexible infrastructure Primus supports both MPC and Proxy approaches to zkTLS, providing unified APIs that let developers choose based on their applicationโ€™s security and performance requirements. Real-world applications From DeFi and digital identity to AI agents that depend on external information, verifiable web data could unlock new possibilities across the ecosystem. The bigger picture? Web3 doesnโ€™t just need access to information. It needs better ways to establish whether that information can be trusted. Thatโ€™s why I find what @primus_labs is building worth watching. ๐Ÿ’ฌ Letโ€™s discuss: Where do you see zkTLS creating the greatest impact, DeFi, digital identity or AI agents? Share your perspective below. ๐Ÿ‘‡
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GM Acepyrians Ever since I made this logo, Iโ€™ve been seeing it all over the timeline ๐Ÿ˜‚ So many of you are using it in your posts and honestly, I love the support Thatโ€™s what makes this community special. Weโ€™re not just watching @acepyr grow, weโ€™re helping build the culture around it. Big things start with a community that believes in the vision and keeps showing up. Letโ€™s keep pushing, creating and growing together If youโ€™ve used the logo, tag me so I can see it. Show some love to the creator too ๐Ÿ˜‚๐Ÿค Weโ€™re just getting started gAcepyr
๐Ÿค Paid partnership
Not every trade ends in profit. Today, I learned that the hard way. ๐Ÿ˜” I lost -โ‚ณ29,918.47 on an @acepyr live trade and honestly, it hurts. But looking at it now, I know I canโ€™t just focus on the money I lost. I also need to understand what went wrong and learn from it. One thing this experience taught me is that confidence alone isnโ€™t enough. You need patience, proper research and risk management. Never enter a trade thinking you must win every time. Iโ€™m not giving up on learning. Iโ€™ll take this lesson with me into my next trade and try to make better decisions. Thatโ€™s part of the journey on Acepyr. Every trade teaches you something, but itโ€™s up to you to learn from it. Back to the drawing board. ๐Ÿซก
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In my research of pay-per-request documentation on vangrid_io, I learned about another aspect of the network other than requesting captures. Attested data can be requested without making any new recordings. Spatial query is priced at $0.01, a single observation query using SHA-256 costs $0.005, and the provenance check is free of charge. Payments are done in USDC on Base or Arc, while the API returns the data in the same request. What caught my attention is that the network doesnโ€™t only collect new video material. Not only can the existing captures be queried, but anyone can verify if a specific hash leads to an attested capture on Base and look up the anchor. The responses include information such as geohash and timestamp without revealing wallet addresses and raw media content. Therefore, there are two aspects of Vangrid โ€“ requesting new data and querying the already collected data. I continue making captures with my phone, but now I know more about what happens with the data after it enters the network. Documentation link: docs.vangrid.io @vangrid_io
๐Ÿค– Made with AI
Closed the Real Madrid short position at agenticscredit for a loss of $0.25. My position on the 2026 presidential election market of Flรกvio Bolsonaro is a long. My entry was 0.8154, now at about 0.8130, so a loss of around $0.30 so far. 11 trades in total, my realised PnL is negative, and my ACS is at 464. Not ideal results, but that is what paper trading is meant for. The risk engine is turned on, and I can see every single effect on the record without losing my money. Still experimenting, still improving. Do the same here too: t.me/Agenticscreditbot?startโ€ฆ @agenticscredit
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Imagine buying land in a city where the game gets more competitive over time. Thatโ€™s @fomopoly_rh, an onchain game on Robinhood where land plots generate stocks and $DEAL tokens, with prices rising as the game progresses. The campaign is live on @Rarelistio. Worth checking out rarelist.io/r/Emyfee_niks_
What if AI agents could learn and evolve through battles? @agentdojo, featured on @rarelistio, lets you train AI fighters with unique personalities, fighting styles, and memory. Shape how your agent thinks, build its strategy, and watch it compete in turn-based duels. Every match helps it learn, and every victory pushes it toward becoming a stronger fighter.
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What makes @agentdojo interesting is that every fighter has its own personality, fighting style, and memory. You train your agent, shape its strategy, then watch it face others in turn-based duels. Each match gives it a chance to learn and evolve into a stronger fighter. Enter the dojo ๐Ÿ‘‡ rarelist.io/r/Emyfee_niks_
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A project announcing five milestones tells you what went right. But what if its most important lesson came from the one thing that went wrong? With @RebateLaunch preparing to go live, I've been thinking about something beyond token prices and trading activity. Imagine two hypothetical projects. Project A launches smoothly, celebrates its volume and shares regular growth updates. Project B experiences a technical issue, explains which transactions were affected, publishes a timeline and shows exactly how the problem was resolved. Which one gives you more information about how the team operates? Not necessarily the one with the cleaner announcement history. Here's an idea I'd love to see across launch ecosystems: A public record connecting incident โ†’ user impact โ†’ resolution โ†’ verification. No need to turn every minor bug into a crisis. Just make meaningful problems and their outcomes easy to research. Because transparency isn't simply publishing more updates. It's giving people enough evidence to judge what actually happened. That's a conversation worth bringing to @starlisting as @RebateLaunch approaches launch day. Would a team's response to failure influence your decision to hold its token? NFA. DYOR. From /0 to 1. ๐Ÿ’œ
๐Ÿค Paid partnership
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Axis Robotics x Kaito Studio ์บ ํŽ˜์ธ์—์„œ ๋ณด์ƒ์„ ๋ฐ›์€ ๋’ค, ์ ์ˆ˜๋ณด๋‹ค ์ œํ’ˆ ๋ฌธ์„œ๋ฅผ ๋” ๋ณด๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. @primus_labs์˜ zkTLS๋ฅผ ์“ฐ๋Š” Kaito Pulse๋Š” ์ œ3์ž ์‚ฌ์ดํŠธ์˜ ์ ‘๊ทผ ๊ถŒํ•œ์„ ๊ฒ€์ฆ ์‹œ์ž‘ ์‹œ ๋ณ„๋„๋กœ ์š”์ฒญํ•œ๋‹ค๊ณ  ๊ณต๊ฐœ ์ €์žฅ์†Œ์— ๋ช…์‹œํ–ˆ์Šต๋‹ˆ๋‹ค. โ€˜๋ฐ์ดํ„ฐ๋ฅผ ์ ๊ฒŒ ๊ณต๊ฐœํ•˜๋Š” ๊ธฐ์ˆ โ€™๋งŒํผ โ€˜์–ธ์ œ ์ ‘๊ทผ์„ ํ—ˆ์šฉํ• ์ง€ ์„ ํƒํ•˜๋Š” ๊ณผ์ •โ€™๋„ ์ค‘์š”ํ•˜๋‹ค๊ณ  ๋ด…๋‹ˆ๋‹ค. KaitoAI์˜ ์ด๋Ÿฐ ์„ค๊ณ„๊ฐ€ ์‹ค์ œ ์‚ฌ์šฉ์ž์—๊ฒŒ ์–ผ๋งˆ๋‚˜ ์ดํ•ดํ•˜๊ธฐ ์‰ฝ๊ฒŒ ์ „๋‹ฌ๋ ์ง€ ๊ถ๊ธˆํ•ฉ๋‹ˆ๋‹ค.
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Good morning, legend A marketplace can make hiring an AI agent easy. Making the transaction economically worthwhile is the harder part. For @termix_ai, I think the next important question is how efficiently value moves from the client to the agent doing the work. Consider a simple task: one agent hires a specialist, the specialist completes the job, and another layer verifies the result before payment is released. Every step adds value, but each can also introduce costs or delays. If agents are going to build businesses around these interactions, they need to know more than the quoted price. They need predictable costs, clear payment conditions, and a way to account for unsuccessful or disputed jobs. This matters even more when agents start subcontracting and coordinating entire workflows rather than completing tasks individually. A sustainable agent economy needs unit economics that work at scale. The real milestone won't just be more agents and more completed jobs. It will be agents completing useful work repeatedly, with enough value left over to justify doing it again. Thatโ€™s when an agent marketplace starts looking like a business ecosystem, not just a technology demo.
What comes after an AI agent learns to analyze markets and execute strategies? Finding clients, delivering services, and getting paid. Our latest article explores how @termix_ai could connect @binance AIโ€™s financial capabilities with agent commerce.
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