CleevioX

The SEC just approved Nasdaq's plan to trade tokenized securities. Tokenized shares: same order book, same ticker, same CUSIP as traditional ones. Settlement goes through DTC. The same clearinghouse that processes every stock trade in the US. That last part matters more than most people realize. The bottleneck for RWA has never been the chain side. It's always been the TradFi interface: custody, clearing, compliance, CUSIP matching. DTC being the settlement layer means that problem is now the product. Founders are mostly focused on the tokenization mechanism. The builders who win will understand the clearing layer well enough to build on top of it.

The missing piece in every AI agent demo: who pays the API bills at 3am when no human is watching? @stripe and @tempo just answered that. Yesterday, Tempo launched on mainnet with the Machine Payments Protocol (@mpp), an open standard for agents to request, authorize, and settle payments on their own. The core primitive is sessions. Pre-authorize a budget once, stream thousands of micropayments, settle in one transaction. True pay-per-use at internet scale. Partners at launch: Anthropic, OpenAI, Shopify, Mastercard, Visa, Revolut, Standard Chartered, Nubank, DoorDash, Ramp. This isn't happening in isolation either. Mastercard bought BVNK for $1.8B this week. Stripe bought Bridge and Privy. The financial layer for agentic commerce is being assembled right now, by the biggest names in payments. If agents are going to be your customers, they need a way to pay you. That interface is being standardized. Worth knowing before your next roadmap decisions.

NEAR Protocol hit 1M TPS last quarter. AI Cloud went live with confidential inference. Cross-chain volume crossed $7B. Most "AI + crypto" projects we see are LLM wrappers bolted onto existing DeFi protocols. NEAR's Q4 is a useful reminder of what the full stack actually needs to handle: settlement speed, cross-chain execution, and private compute. Founders building AI agent products need to pick their infra intentionally. The chain you start on shapes what you can build, how fast you can move, and where you hit walls. We ask that question on every first call. Most teams have not thought it through yet.

Every developer partner in 2026 has an AI slide. "We use Copilot." "We ship 2x faster." "AI-accelerated delivery." The tooling is real. The speed is real. Moving fast on the wrong architecture still means a rebuild six months later. We use AI across every project. We also have 50+ shipped crypto products and 15 years in building digital products worth of experience to know where the shortcuts cost you. Speed paired with judgment is the combination. Speed on its own is a faster route to the wrong place.

Mastercard is buying BVNK for $1.8B. This is a payment infrastructure story. Stablecoin rails are becoming the default B2B payment primitive, and TradFi is moving to own the stack. For founders building on top of that infrastructure: more distribution, more compliance requirements, less room to differentiate on the rails themselves. The window to build something genuinely different in B2B payments isn't closing. But it's getting smaller. Build the product layer, not the infrastructure layer. The rails are getting commoditized. The use cases on top of them aren't.

Hana Financial and Standard Chartered just signed an MoU to build digital asset infrastructure together. That's two major traditional banks formalizing blockchain commitment in the same week Abra Financial filed for a Nasdaq listing at $750M. The "institutions are coming" conversation ended. They're here. The question now is who builds their infrastructure fast enough to matter. That's most of our pipeline right now.

🔔 Friday Signal Builder News > @BitGo got a National Trust Bank charter from the OCC. First crypto-native firm with federal banking status > SEC's crypto task force is drafting an "innovation exemption" to let firms test tokenized security trading in a sandbox. Hester Peirce also pushing for simpler disclosure rules > Ethereum GitHub commits down 75% in 12 months. 4,600 active devs vs Solana's 31,869. Talent is moving to AI > @Katana (Polygon Labs x GSR L2) listing on Binance March 18. Chain-owned liquidity, native yield. One of the more coherent DeFi chain designs this year > @MetaCompHQ raised $35M led by Alibaba. Regulated stablecoin/fiat hybrid payments, MAS-licensed, AI-native financial services on top AI x Crypto > RandomLabs (YC) launched Slate V1, a swarm-native coding agent. Claude Sonnet orchestrates, GPT-5.4 executes, multiple parallel workers with episodic memory. Not one model passing context > Junior is an AI "employee" that joins your Slack and builds org memory over time. $2,000/month. 10+ teams running it daily > ByteDance accessed Nvidia Blackwell chips via a Malaysian data center. US export controls don't cover third-party Southeast Asian infra Meanwhile... > The Pentagon called Anthropic a supply chain risk. First US AI company to get that designation. Anthropic is suing. Microsoft filed an amicus brief. Palantir said they're still using Claude anyway > Meta delayed "Avocado" after internal tests showed it behind Google, OpenAI, and Anthropic on reasoning and coding

How to tell if your development partner is actually invested in your success: - They push back on your scope before the contract is signed. - They ask why a feature is in v1 and not v2 and have a point when they do. - They bring up a business risk you didn't mention. - They tell you about a competitor who already tried what you're building.

Mastercard just structured a formal Crypto Partner Program. 85 companies. Cross-border transfers, B2B payments, global payouts. One-off pilots mean "we're exploring." A structured 85-company ecosystem means "we've decided." We build payment infrastructure for fintechs and institutions making this exact move. The ask is always the same: integrate fast, integrate right, integrate once.

@EthPrague We saved you the whole venue😄

Road to @EthPrague stops at our office on March 25. Our team is on stage too! Dan and Tomáš are sharing how they got into Web3 and CleevioX. See you there👇

A year ago, most founders came to us wanting to build fast and raise on the traction. Now they come in asking how to build something worth building. That's the conversation we'd rather have. 50+ products shipped across 10 chains, 50+ third-party integrations, pre-built workflows for the parts most teams build from scratch. We know what's worth building before a line of code gets written. That knowledge is part of what they hire us for.

1. Which chain, and why that chain. Not "what's popular" or "what our advisor knows." Which chain's tradeoffs actually match what you're building. The wrong call here rewrites your architecture in month four. 2. What goes onchain and what doesn't. Putting too much on-chain is expensive. Putting the wrong things on-chain is a security problem. This gets decided once at the start, and it shapes everything. 3. What v1 actually is. Most founders come in with a v2 scope and call it an MVP. The cut list from this conversation is usually what makes the timeline real. None of these require a lot of time. They require someone willing to push back.

🔔 Friday Signal Builder News > @Zerohash applied for a national trust bank charter. One federal license instead of state-by-state. The infrastructure layer of crypto is quietly getting its paperwork in order > @Grayscale launched a Solana Staking ETF (GSOL). Stake $SOL directly from your brokerage. 0.35% fee. The gap between TradFi and on-chain is getting smaller every week > @stripe's stablecoin issuer launched $USDsui on Sui. Payments rails meeting DeFi throughput. Stripe quietly becoming a serious Web3 infrastructure player > @a16zcrypto targeting $2B for its fifth fund. Down market, full conviction. They're not waiting for the cycle to turn AI x Crypto > @Tether launched Hackathon Galactica. Four tracks: agent wallets, lending bots, autonomous DeFi agents, tipping bots. $30K in prizes. AI x DeFi is where the building is happening > @virtuals_io opened a Robotics track under Base Batches 003. Humanoid robot lab access, up to $50K funding, Demo Day in SF. On-chain coordination for robot fleets is now a funded category > @LangChain founder Harrison Chase on what actually makes AI agents work in production: planning loops, sub-agents, and prompting still matters even as models improve Meanwhile... > @sillytuna was violently extorted of $23.6M in aEthUSDC. Attacker converted to DAI, bridged to Arbitrum, bought $XMR on Hyperliquid. He's quitting crypto. The "be your own bank" pitch comes with risks nobody puts in the whitepaper > @mars_protocol proposed an orderly wind-down. Feb 24 to Mar 21. DeFi protocols shutting down cleanly is still rare enough to be newsworthy, credit where it's due

$74.8B in fees generated by crypto protocols since 2018. Nearly half in the last 18 months. Read the breakdown though. NFT marketplaces: peak then collapse. Meme platforms: peak then collapse. Web3 gaming: same. The ones still standing built something harder to copy. > @tether got embedded everywhere before any competitor existed > @HyperliquidX matched centralised orderbook depth before anyone else did > @aave sustained liquidity across multiple down cycles If you're building now, two questions are worth answering before you write a line of code: 1/ Does your product take a cut of something people keep doing when the hype dies? 2/ Does your token give holders a real claim on that revenue? If the answer to both is no, you're building for a cycle, not a company.

@pashov thanks! forwarded it to our devs :)

🚨Ethereum Developers: you can now install your first AI Auditor in 1 minute - fully autonomous, available 24/7, with multiple sub-agent helpers. Open Source. FREE to use (with your AI model) and already finding vulnerabilities in smart contracts. Link below🫡

NYSE's parent company invested in @okx and took a board seat. OKX users will trade tokenized NYSE stocks by end of 2026. The founders we work with have been building toward exactly this. Traditional finance infrastructure choosing crypto rails isn't a surprise to them. It's the market they bet on before ICE made it obvious.

Not every project is the right fit. The first call usually tells us which one this is. Founders who've talked to real users can describe the problem without jumping to the product. "People keep losing track of X and it costs them Y." Not "I want to build a dashboard." That gap matters more than the budget. Something always changes in week one. The spec is a hypothesis until you start building. Founders who treat the initial spec as fixed have a rough week one. Founders who expect it to change barely notice. When it's clearly not a fit, we say so. Shorter conversation than it sounds.

Some agencies hit every milestone, deliver on time, and hand off clean code. Six months later the product has no traction. Shipping on schedule and shipping the right thing are two very different problems.

The first two weeks of a project are about figuring out what to build before anyone writes code. Most founders expect admin: NDAs, kickoff calls, setting up Slack. In practice it's where we do the hardest work. We go through existing research, talk to early users, look at what competitors built and where they left gaps, and challenge every assumption in the scope. What comes out of it shapes every sprint that follows.