Gn Creators Your onchain history can tell a story about how you use crypto. That is the idea behind @zerufinance . Instead of looking at every wallet as new, Zeru uses previous onchain activity to help measure your trading behavior through Zaps. Now, Zeru and Ditto Network are running a four week perp trading competition. There is a $50K reward pool with 600 payout spots. The important part is that the leaderboard is not only about trading the most volume. Zaps scoring also looks at verified activity and fair participation. Wash trading and linked Sybil activity are excluded, helping keep the competition focused on real users. To participate: Register on Zaps Get your Ditto referral link Trade perps on Ditto using that link Zeru’s Trust Oracles have already analyzed more than 320M wallets, using onchain data to create reputation signals. So the bigger idea is simple: Your past onchain activity can help show how you participate, not just how much you trade. I’m more interested in trading carefully, managing risk, and seeing how genuine activity affects my Zaps score over time. If you’re participating, check your Zaps score and see whether your Ditto activity is being reflected.

gAxis legends A 3D world can look real without behaving like the real world. That’s the problem @axisrobotics is helping solve with Manycore Technologies. Manycore creates detailed 3D environments, like kitchens, rooms, and other spaces. But for robots and physical AI, looking real is not enough. Axis Suite adds physics to these digital environments. That means objects can have things like: → Weight → Friction → Collisions → Physical movement So a robot can learn not only what an object looks like, but also how it behaves. Simply put: Manycore creates the realistic world. Axis makes that world behave more like reality. That combination can make AI training environments much more useful for robots.

Good Afternoon CT What makes @TheARCTERMINAL interesting is that it is trying to make AI agents actually do things, not just give answers. Think of ARC as a browser based AI operating system for onchain activity. Its agents can research information, interact with apps, manage resources, and execute actions. In the September Sepolia experiment, five autonomous agents performed actions and settlements that were recorded onchain. That creates something important: a verifiable trail of what the agent actually did. ARC also focuses on memory. Instead of keeping everything inside the AI model, ARC separates agent memory from model weights. Private context can be protected using hardware backed security, allowing an agent to maintain context across sessions. The goal is simple: Research Portfolio AI Trading Execution All connected through one interface. ARC also includes agents like Axel, designed for trading workflows such as analyzing setups, risk limits, reward to risk, and chart context. So the bigger idea behind ARC is not another chatbot. It is an AI agent that can remember, interact, execute, and leave evidence of its actions. That is what makes the architecture worth watching.

Gm gQuip Quantum hardware is the story. The account, the swap, and the timeout are the product. The simple idea is this: @quipnetwork is trying to make blockchain activity more resistant to future quantum attacks while keeping assets on the chains they already live on. Quip Accounts handle the security layer. QuipSwap handles cross chain trading without relying on wrapped assets or a traditional bridge. And the timeout mechanism makes the trade reversible if neither side completes the swap. The bigger picture is interesting because Quip is not only thinking about protecting wallets from quantum computers. It is also exploring how quantum computing itself could become useful infrastructure through Quantum Proof of Work. So there are really two questions being explored: Can blockchain assets remain secure in a quantum future? And can quantum machines eventually do useful work for the network? That makes Quip more than a quantum themed narrative. It is an attempt to connect post quantum security, cross chain settlement, and useful quantum computation into one system.

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GM gSLEEP What makes @Sleepagotchi interesting is that it goes beyond being a normal sleep tracker. Instead of only showing you how long or how well you slept, it can use health data from Apple Health and Google Health Connect to understand your sleep patterns over time. AI can then turn those patterns into more personalized wellness guidance. That means the data is not just sitting on a dashboard. It can help power AI agents that understand your habits and give you useful recommendations based on your behavior. Sleepagotchi also adds a gamified layer with progression, rewards, $SLEEP and $CHI. So the bigger idea is simple: Collect useful sleep data → understand your patterns → use AI to provide guidance → make the experience more engaging. And if sleep is only the first wellness area Gotchi Labs explores, there could be much more built around this model.

Gm gVANGRID VANGRID IS MAKING REAL WORLD DATA EASIER TO VERIFY Getting fresh data from real locations can be difficult. @vangrid_io is building a system that lets people request and collect new location based data when they need it. Here’s the simple process: A buyer chooses a location and pays in USDC. A contributor at that location uses their phone to capture the requested 3D data. Before the data leaves the phone, faces and license plates are removed to protect privacy. The data is then given a digital fingerprint called a hash. That hash is recorded onchain through Ethereum Attestation Service on Base. Why does this matter? It means people can check the record and verify that the data was captured and recorded properly, instead of simply trusting Vangrid’s word. According to Vangrid’s explorer, the network currently shows: 988,945 captures 3,742 attestations 315,214 USDC settled The bigger idea is simple: Real world data + privacy + onchain proof = data people can verify. That is what @vangrid_io is building.

Gm Creators Privacy and accountability can work together. That’s what @AmericanFort_io is trying to achieve with SafeSend™. Today, blockchain payments can reveal a lot of information publicly, including wallet balances and transaction history. SafeSend is being designed to hide sensitive financial details while still keeping the payment verifiable between the sender and recipient. Here’s the simple idea: → Zero-knowledge proofs help hide private financial details → Proof of funds can be provided when verification is needed → Users can choose what information to reveal → Funds are not pooled or mixed with other users → The recipient can still know who sent the payment So SafeSend is not about making payments completely anonymous. It is about giving users more control over their financial privacy while keeping payments accountable. SafeSend is still in development and is not live yet. The first deployment is planned for Tron after the token launch. For now, FortressName and Send-to-Name™ are already live.

Gm gMINT MintABear is being talked about as a free NFT mint. But the interesting part is what the Bear can do after you claim it. @PlayOnMint is giving away 10 whitelist spots for the free mint through Discord. Ten winners will be selected within 72 hours. The Bear is designed to connect with the $MNTD ecosystem. Here’s the simple breakdown: MintABear = your NFT XP = points you earn from playing Status = your position in the ecosystem $MNTD = the token used for the economic side The Bear is expected to unlock things like $MNTD rewards, mystery box opportunities, and access to reward distributions. You can also level up the Bear, which is expected to increase its weight in certain rewards. The important thing is that the NFT, XP, Status, and $MNTD all have different roles. $MNTD is not live yet. The TGE has been discussed for Q4 2026 on Base. Some rewards are already active, but exact future staking requirements and reward rates have not been fully published. So the free mint is only the starting point. The real value depends on what the Bear can do after you mint it.

Gn Creators Did you know your wallet already has a trading history? @zerufinance is using that history to make its incentive system more useful. ZeruAI looks at your onchain activity to understand how your wallet has been trading. Its Trust Oracles have analyzed more than 320M wallets and use this data to create a zScore for each address. Your previous activity can also give you a starting Zaps balance. That means you do not necessarily have to start from zero when joining the campaign. Simply connect the wallets you already use and check your Zaps balance. You can then earn more Zaps through qualifying activity and participate in Clans with other traders. Zaps are planned to contribute toward a future $ZERU airdrop, while the final eligibility rules will be announced officially. A higher Zaps balance may also help with whitelist access for the upcoming Zerus limited freemint. The simple idea is: Your wallet already has a history. ZeruAI uses that history to understand your activity and give it a role in the campaign. Check your Zaps balance at app.zaps.wtf

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Good Afternoon CT How ARC Terminal Makes AI Agents Useful Most AI tools can answer questions, but they cannot directly interact with onchain applications. @TheARCTERMINAL is trying to change that with an AI powered onchain operating system called ARC Terminal. Here is the simple idea: 1. AI that can act ARC has an AI agent called ANIMA. Instead of only giving you information, the agent is designed to interact with onchain applications and execute actions. 2. Agents can have their own resources In a Sepolia testnet experiment, five autonomous agents were able to perform different actions, manage $ARC resources, and settle trades onchain. This matters because their actions can leave a record that can be verified onchain. 3. Trading AI inside the terminal ARC Trading Terminal also added Axel, a trading AI from Lock In. Users can set things like: → Risk limits → Reward-to-risk targets → Trading setups → Market information Axel then helps display trading information directly on the chart. 4. One place for onchain activity The bigger idea behind ARC is to bring different tools into one interface: Research → Portfolio → AI → Trading → Onchain execution Instead of constantly moving between wallets, dashboards, research tools, and AI assistants, ARC wants these functions to work together. The simple takeaway: ARC is building toward an onchain environment where AI agents can understand tasks, take actions, execute transactions, and leave a verifiable trail of what they did. That is what makes the concept different from an AI that simply gives you answers.