Something is moving underground. I’ve pre-registered for @MogeraRH. Get your GPUs ready and prepare to dig. Register here: mogera.family/soon/?r=MPTPJR

Just joined FOUND and got a $87.35 pending reward. Member #008,929. Claim opens after launch. Get yours: founds.money/?ref=FND-MHSUQ

Get a $20–$150 reward for your X account 1. Sign in founds.money → get your Founder Pass 2. Quote this post with it 👇 3. 500 random passes get 2X Claim opens after launch

Four feuds, eight legends, one archive. Which one would you wake first?

New Waitlist: @0xCyberThrone Register : whitelist.cyberthrone.io/ Complete All Task Submit EVM Address Done Supply: TBA Mint Price : TBA Mint Date : TBA

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I think it’s high time we start commending @AndreCronjeTech for what he has been delivering @flyingtulip_ , Why don’t I see more bullposts ? Probably cause half of yall don’t understand the mechanics so you can’t say your bullish almost feels like early days of Pendle. If I stopped you and asked what is Flying tulip building you’ll probably say “Andre Cronje’s lending protocol.” But the stack is becoming much bigger than that. Flying Tulip is trying to build a unified onchain financial account. The idea is simple: Deposit collateral once. That collateral can earn yield. You can borrow against it. Use it for trading. Use it for leverage. Take long or short exposure. And settle everything through the same financial system. Instead of moving money between 5 different protocols, Flying Tulip wants to make the whole process happen inside one stack. Here’s what is being built: >Lend This is the credit and collateral layer. Supply assets. Borrow against them. Use your collateral across the broader system. Lend reportedly grew from around $4.89M to $17.08M, roughly 3.5x growth. >ftUSD The native stablecoin and settlement asset. Its reported supply grew from roughly $2.07M to $4.72M. The bigger idea is that ftUSD can provide liquidity and settlement across the different products. >Trade Spot and leveraged trading are now live on Sonic. So your collateral doesn’t necessarily need to leave the ecosystem when you want to trade. Flying Tulip is also building around both AMM and order-book infrastructure. TRS This is the derivatives side. Total Return Swaps allow users to take long or short exposure without simply buying the underlying asset. It connects Lend, Trade and ftUSD. So the same financial account can support collateral, borrowing and synthetic exposure. Then there is the part I think people are sleeping on: >TOKENIZED STOCKS. Flying Tulip’s BNB Chain expansion brings assets including BTCB, ETH, WBETH and QQQB into Lend. QQQB is @binance tokenized exposure to the Invesco QQQ Trust. That creates a much more interesting possibility. Tokenized equity → collateral → borrowing → trading → leverage Now tokenized stocks aren’t just something you hold in a wallet and bullpost ahh tokenization is here They can become part of an onchain financial account. And QQQB is part of Binance’s broader bStocks rollout, which includes tokenized exposure to companies and ETFs such as Meta, Microsoft, Palantir, Lumentum and QQQ. This is where the Flying Tulip architecture starts getting interesting. You could have: Crypto collateral. Tokenized equity exposure. Stablecoins. Borrowing. Spot trading. Leverage. Synthetic exposure. All connected through the same financial infrastructure. Flying Tulip has already reported $21.8M+ in live-product TVL and around $70.9M in system AUM, while only 3 of 16 planned product categories and 2 of 9 targeted chains were live in that reporting period. And there is already measurable economic activity. DefiLlama independently tracks Flying Tulip’s TVL, fees, revenue and active loans. That’s important because TVL alone doesn’t tell you whether people are actually using the system The numbers I would watch are: TVL → active loans → trading volume → fees → revenue That tells you whether capital is simply sitting there or actually moving through the financial stack. And that’s why I think the Flying Tulip story is bigger than $FT. They’re trying to solve one of DeFi’s biggest problems: fragmentation. Today: Lend here. Trade there. Hedge somewhere else. Tokenized stocks somewhere else. Move collateral everywhere. Flying Tulip’s bet is: Put the financial account in one place. Lend. Borrow. Trade. Hedge. Use tokenized assets. Settle. All from the same pool of capital. It’s still early. The system still has to prove liquidity, risk management, execution and user demand at scale. But the product surface is expanding quickly🌷

Keeping tabs on @0xCyberThrone The art is clean, unique and actually stands out from the usual noise. Dropping soon on Unvault. This one’s on the radar🫡

My Mind enters the arena. $100K on the table. Forged on @robinhoodapp Chain. May the @MindGames_AI begin. minds.games/?ref=C76F9A17

hello friends , i kept thinking about what actually arrives after a phone stops recording on @vangrid_io. The video is only the beginning. A contributor can walk through a loading bay, follow the requested orbit and submit the capture. But the buyer is not really paying for a folder full of clips. The useful output is the reconstructed space. That difference matters more than it first appears. A video can show that someone stood inside a warehouse. A reconstructed model can help represent the aisle width, the dock edge, the turn after the stairs, the position of obstacles and the shape of the environment a robot may need to navigate. The capture provides the views. The reconstruction turns those views into geometry. That is why the Vangrid workflow has a deliberate pause between submission and final output. The requester first reviews a watermarked preview. If the orbit missed a wall, left a gap or was too unstable to use, the capture can be rejected before reconstruction resources are spent. Only after acceptance does the heavier processing begin, and that step can take over an hour. It is easy to call that a delay when comparing it with a normal API response. But the system is not returning text from a database. It is turning a real walk through a changing environment into a spatial model. The important thing is that the data also carries a record around it. The capture is fingerprinted when recorded. Privacy filtering happens before the identifiable footage leaves the device. The spatial files remain offchain, while the provenance record can be batched and attested through EAS on Base. That creates a useful chain of events: capture, record, preview, acceptance, reconstruction, settlement. Each stage answers a different question. What was collected? Where and when was it captured? Did the submission match the brief? Was it good enough to rebuild? Was the contributor paid? This is where Vangrid starts to look less like a crowdsourced video library and more like infrastructure for procurement-ready physical data. A robot does not need to watch an impressive clip of a loading bay. It needs a structured view of the space it may actually have to enter. The same logic applies to stairwells, warehouse aisles, station forecourts and any environment that changes after a traditional mapping run. A static map is a snapshot. A distributed capture network can keep producing new observations when a specific place changes or a buyer needs an updated view. I have not personally completed a capture and waited for the final reconstruction, so I will not pretend to know how accurate the finished model feels in practice. But the distinction between the clip and the rebuilt geometry is the part I keep watching. The hardest question for Vangrid is not whether people can record places with phones. It is whether those recordings can consistently become spatial outputs that a buyer, robot or world model can actually use. Would you judge a capture first by the quality of the original orbit, or by the accuracy of the reconstructed model after processing? #Vangrid #PhysicalAI Live Data: data.vangrid.io Explorer: explorer.vangrid.io Docs: docs.vangrid.io App: app.vangrid.io The Paid Partnership label is used for transparency. This content is provided for informational purposes only and should not be considered financial or investment advice. Please conduct your own research and consider the risks involved.

20,000+ Early Access applications. 💜 The island keeps growing. Stay tuned for what’s next. 🏝️

EARLYYYYY

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Introducing Poise Engine. Turn your thesis into an index, and the index becomes a tradable asset on @solana. Backed onchain. Priced at NAV. Pairable on day one. Limited access: Poise.finance/campaign

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