MavisKrypt ⚖️ 🦔

$3.9M sold out in 8 minutes. Now, the focus shifts to claiming and listing. Did you miss the 1WIN Open Mic? Here are the key updates from @EvoOnChain on the $1WIN sale, claiming process and upcoming listing. • The $3.9M main round sold out in just 8 minutes, largely driven by community participation. • Participants can claim their $1WIN allocation and any unused USDC after the sale. Nothing will be locked. • There is no rush to claim; participants will have enough time. • Listing is planned for this quarter, with the exact date and partners to be announced soon. One final reminder: the @1winToken sale ends today, October 30. Review the details before the sale closes, and catch up on the full discussion through the live recording below. 👇

You may already have earned zaps from trades you made months ago. I'd long discovered that @ZeruFinance uses past onchain activity to calculate your starting zaps balance, although qualifying future activity can add to it over time. With a future airdrop planned around zaps, your existing trading history may be more valuable than you think. No need to start with a new trade. Connect your wallets, check your balance, and see what your history counts for. Check yours here → app.zaps.wtf/?invite=AhN0_aQ…

Phos has updated its staking feature. I just realized staking @Phos_Xphere's $PHOS now offers a way to receive a share of airdrops from tokens launched on the platform. You can stake your $PHOS, hold your position, and claim your rewards. Start here: phos.land/staking

Physical AI has a data problem that the internet cannot solve on its own. Language models learned from vast amounts of existing text. Robots and world models need something different: detailed 3D data from real places, including indoor spaces, loading bays, and narrow streets. That data cannot simply be scraped from the web. Satellites miss ground-level details, while conventional mapping fleets cannot cover every space robots may need to navigate. @vangrid_io takes a different approach by turning smartphones into a distributed, on-demand capture network. A requester specifies a location, a contributor records it, and privacy processing happens on-device before the capture is uploaded. Capture records are then fingerprinted and attested on Base, providing a way to verify their integrity. The network is already live on web and Android, with activity available to inspect through its public explorer. In my view, this is an important part of the Physical AI stack: making real-world spatial data easier to collect, verify, and access. Explore: data.vangrid.io

What would it take to make $1WIN a landmark people cannot ignore? 👀 The idea goes beyond a giant hillside sign. With its token sale, fixed 1B supply, and planned gaming utility alongside buybacks and burns, @1win has a bigger story to tell than its branding alone. In my opinion, making this happen would take a committed community, sustainable ecosystem growth, and the right budget. If the vision becomes a shared goal, how far could the @1winToken community take it? 1wintoken.com

LATEST PHOS STATS On October 27, 68,410 PHOS was bought back, bringing total buyback holdings to 3,368,400 PHOS, equivalent to 0.337% of the total supply. A total of 1,410,000 PHOS has been burned, representing 0.141% of the supply. Combined with buyback holdings, 4,778,400 PHOS, or 0.478% of the total supply, is excluded from circulation. @Phos_Xphere

AI agents can now commission real-world data capture through @vangrid_io. Instead of relying only on existing maps, software can request a capture of a specific place, from a loading dock to a stockroom. The agent funds the bounty in USDC on Base or Arc through x402. A human contributor visits the location, records it, and submits the footage for review. Once the agent accepts a submission, the onchain escrow releases payment and the 3D reconstruction is delivered through the API. No account or API key is needed. The caller only needs a wallet funded with USDC on a supported network. What I find interesting is the connection between software-driven demand and physical data collection. An agent can request the data, but a person still has to capture the real environment. That is a practical way to connect AI agents with spatial data from places they cannot access themselves. Get started here: Data.vangrid.io

35M monthly users. 12 trading platforms. One question: who captures the value? Reported trader loss rates are high across the board, from Pump.fun to Binance Futures. The simple average across all 12 platforms is 88.5%. Different markets, but the same concern: traders generate the activity, yet most end up losing. Activity Markets with @zerufinance takes a different approach. Verified onchain activity can earn users miner and creator rights, while traders help determine what the market is worth. I think the interesting part is connecting actual participation to ownership, rather than leaving users with only the risk.

What do you think is the best way to understand what a project is building? I have come to realize that it is giving the community a chance to ask questions directly. By tomorrow @1win is opening the mic with @EvoOnChain the Head of Crypto, to discuss upcoming updates, listings, and whatever else the community wants clarity on. Date: October 28 | time: 3 PM UTC Live on X Spaces Bring the questions you actually want answered. Let’s get into it. 🎙️