ZORD CRYPT

Decentralized Science (Desci) is poised for significant growth, with a projected $700 billion revenue by 2030. @cz_binance has revealed plans to venture into the BioFi/DeSci space. Explore the world of #Desci and its leading protocols. A thread 🧵

@Defi_Warhol @AbstractChain This is bad!

What seems clear to me so far: → XP got slashed hard → NFT holders got hit hardest → Myriad is moving new activity to BNB → Trust is tanking fast @AbstractChain built around XP, NFTs, rankings, and portal activity so of course people farmed it. This is changing the rules after people already spent time and money playing. That’s why people are pissed.

@Eli5defi Tulpea moves real-world credit on-chain, bridging tokenization and actual risk management effectively.

➥ RWA 2026: What's Real vs What's Wrapped The RWA market reached $27.38B in on-chain distributed asset value as of March 2026, up 9.44% in 30 days. That looks like infrastructure maturity. It's not. Because only the token is on-chain. The credit decision still happens in a meeting room. Every category follows the same blueprint. DeFi settles. TradFi decides. That gap is the real story of RWA in 2026. — ➠ What "Tokenized" Means Today Most RWA protocols still work like this: - TradFi picks the assets and sets the terms - Smart contracts take deposits and settle - TradFi handles underwriting, enforcement, and defaults The token is mainly a distribution + settlement wrapper. The product is still run off-chain. Example: Ondo's OUSG - 0.15% management fee + 0.15% fund expense fee - Assets sit in BlackRock's BUIDL fund, with its own fees Result: layered fees across institutional wrappers, managed off-chain. That's fine for T-bills. The problem is pretending tokenized settlement changes the underlying credit. It doesn't. Archblock (TrueFi) shows why this matters TrueFi tried to do off-chain credit underwriting with on-chain settlement. In Feb 2026, Archblock filed Chapter 11: $100M+ liabilities vs. ~$10M assets. Disputes over redemptions cited custodian failures. Filings admitted the platform lagged while burning ~$1M/month. This exposes the biggest flow of current RWA landscape, when credit logic is off-chain, the biggest risks sit in the gap: - Defaults don't trigger automated outcomes - Custodians can freeze or lose reserves - Token holders end up behind everyone in bankruptcy If the credit is off-chain, the risk is off-chain, until it shows up in court. — ➠ What Real On-Chain Underwriting Should Look Like For credit to truly live on-chain, DeFi needs what it still lacks today: a real risk engine. Today, protocols don't manage risk, they avoid it. Overcollateralization, liquidations, and coarse governance decisions replace actual underwriting. Each asset, each deal, each cash-flow stream needs to be evaluated individually. Those who assess risk need skin in the game. And risk needs to be sliced, priced, and distributed across participants with different profiles, not just pushed onto a liquidation bot. Without that layer, DeFi can't move beyond crypto-native loops into real-world credit. — ➠ The Tulpea Approach @Tulpea_org rebuilds credit as a structured, peer-to-peer, on-chain system rather than a simple distribution layer. ▸ Structured real estate financing instead of just tokenized assets ▸ Equity and debt separated and made programmable ▸ Repayment flows executed by contracts, not chased by lawyers Instead of mark-to-market collateral, Tulpea structures credit around real-world fundamentals: cash flows, amortization, and repayment capacity. ▸ Lenders receive Asset-Backed Debt Tokens (ABDT) with defined maturity, yield, and risk profile ▸ Borrowers retain upside through Real Estate-Backed Tokens (REBT), while debt is serviced directly from asset income — ➠ Risk Management Through Design Risk is managed through design: ▸ Equity buffers absorb first losses ▸ Tranching separates risk appetite across lender profiles ▸ Repayment waterfalls enforce distribution priority ▸ Dedicated reserves handle income volatility The result: Undercollateralized borrowing for users, while lenders stay protected through structured credit mechanics and the underlying asset itself. Also worth to note that the team behind Tulpea includes executives from Société Générale, Mastercard, and McKinsey. — ➠ Wrap-Up The $27B RWA market has made two things clear: institutional demand for tokenized assets is real, and today's infrastructure is mostly just a faster settlement layer for decisions TradFi still controls. That works, until it doesn't. Archblock is the latest reminder of what "until it doesn't" looks like. The next real step in RWA isn't more tokenization. It's moving the underwriting on-chain, not just the wrapper around it. Tulpea is the first serious shot at that exact problem with plan to launch on @megaeth in the upcoming weeks. Whether execution lives up to the architecture is what the next 12 to 18 months will settle. But it's solving the right problem with the right infrastructure.

@waleswoosh It happens all the time

Sometimes in crypto you buy things you think are a super safe bet, and a few months later you look at them and feel the exact opposite

@DefiIgnas 👀👀👀👀

Many crypto builders won’t speak openly about the $WLFI grift as it could hurt their businesses growth, and there’s little upside. The World Liberty Financial exposés will get interesting once the Trump family leaves office.

There was really a time we were losing sleep over virtual land 😭 People were grinding IRL just to buy pixels next to Snoop Dogg in The Sandbox “Bro this plot is prime location” Location in a world that doesn’t exist btw 💀 Now that same land is worth less than a decent lunch Cycle was insane. Hype → FOMO → cope → silence Can’t even laugh too hard… another “next big thing” is probably loading as we speak Crypto really be the only place where you can retire early or become a case study in 6 months GM chads

@kappybruh Gm

@zordcrypt Gm

@Yaki_fomoArt Not certain buh something is cooking!

@zordcrypt what’s the next narrative loading

@adewoleJam74498 GM

@zordcrypt Gm fam

@Defi_lord002 GM

@zordcrypt Gm buddy

@pigrichh 💯

@zordcrypt Crypto really be the only place where you can retire early or become a case study in 6 months

@DannyBolasie GM

@zordcrypt GM Zord!

@d1lr Fr

@zordcrypt metaverse was peak collective delusion and peak entertainment at once

@manganacrypto GM

@zordcrypt Gm Zord

@0xaegon_nft GM Aegon

@zordcrypt Morning zord

@bloomstarbms GM Bms

To make money; You need consistent action To keep money; You need discipline To grow money; You need proper knowledge You learn gradually when you start getting on the first one, then eventually you make couple of mistakes and learn from them. good morning

@TweetByGerald One of my dreams then was owning a virtual land Crazy era 😂

when fundamental was the real alpha in defi… it was a huge catalyst to determine if a token price will actually go parabolic. take me back to when I thought that my METAVERSE lands was going to retire me.. you have to be long enough in this space to understand the huge impact METAVERSE lands had in crypto. good old days…

@Nick_Researcher In Another pattern

@zordcrypt the cycle repeats

@Nick_Researcher @stripe @tempo Crazy

@zordcrypt @stripe @tempo we gonna have a fully auto eco where human has nothing to do

➥ Agents are about to kill the checkout page with MPP vs 0x402 vs Visa agents I spent time digging into what @stripe + @tempo just launched with MPP, and how it sits next to Visa’s agent payments and Base pushing 0x402 for almost a year I honestly feel shock thinking of what’s coming to hit the market MPP comes with a directory of 100+ services for your agent to use & pay for autonomously on Tempo: • @alchemy - blockchain data across 100+ chains • @alliumlabs - onchain analytics • @browserbase - headless browsers • @dune - onchain SQL queries • @fal - image, video, and audio generation • @merit_systems - phone calls, travel, email, & more • @p0 - web search and deep research • @postalform - mail delivery via USPS • @prospectbutcher - sandwich ordering • ... and many more ☒ First layer = settlement rails | This is where the real money moves [1] Card rails with Visa, Stripe infra → Still dominant because distribution + compliance is already solved → Best for high-value, discrete payments [2] Crypto rails | stablecoins on chains like Tempo → Instant settlement, low fees, programmable balances → Makes sense when payments are small, frequent, or continuous - I’ve seen this pattern before, infra gets abstracted - Agents will just route to the cheapest + most efficient rail depending on context ☒ Second layer = payment protocol | This is where MPP vs 0x402 actually sits [1] 0x402 pushed by @base eco → Stateless, request-by-request payments → Simple, composable, very crypto-native [2] MPP with Stripe + Tempo approach → Session-based payments → Authorize once, then stream usage over time → Basically turns payments into something like OAuth This small design difference changes everything From what I see if your agent makes 1 request = 1 payment, 0x402 is enough If your agent runs continuous workloads (API, inference, data feeds), MPP is way more efficient Because no one wants to sign thousands of transactions just to query an API My current belief is that there won’t be a single winner here What we’ll get instead: - 0x402 → default primitive for simple, stateless payments - MPP → default for session-based / streaming payments - Cards → still dominate large payments - Stablecoins → dominate machine-to-machine flows And the user or agent won’t even notice It’s that payments are quietly becoming a native part of the internet request itself

@TheDeFiAngel @coinbase @binance @bitget Gm

GM CT Crypto isn’t casually experimenting with AI rather it’s adjusting under pressure. When exchanges like @coinbase, @binance, and @bitget start aligning their moves, that’s not coincidence, that’s survival mode kicking in. AI is cleaning up research, executing trades from simple intent, strengthening security in real time, and quietly preparing crypto rails for autonomous agents that will need to transact. If agents choose the best execution path, exchanges stop being destinations and become infrastructure. Adding AI is easy. Building what users actually trust is the hard part. Real winners solve that.