.@EASYResidency Season 5 is looking for founders building the next layer of financial infrastructure. Hear what @Hui_Huangg, YZi Labs’ Investment Director, has to say - and apply before Sept 28, 11:59PM PST 👉

Hear what our investment director @jeffrey_hu is looking for 👀 If this is what you’re shipping, apply to EASY Residency S5 👉 Come build with us in Bangkok 🇹🇭 Up to $500K investment. Housing, meals, and workspace covered.

💡 An honest account of getting into EASY Residency. @Normanxbt, our Season 4 alum, shared the full journey: the first application that didn’t make it, what they changed, and the second one that did. Founders: Applied before? If your product has evolved and you’ve made meaningful progress, apply again 👇 Dear Community: Know a founder who belongs here? Our YZi Labs investor first met Norman through an introduction. Now you can make that intro directly 👇 Come build with us in Thailand for Season 5 🇹🇭 Up to $500K in investment, with housing, meals, and workspace fully covered.

We’re excited to share that 4D Labs has received investment from @yzilabs through @EASYResidency Season 2. ⚡️ We’re building the real-world embodied data layer for physical AI — turning real-world interaction into training-ready embodied data. 🦾 AI has learned to speak. Now it needs to learn how to act. A new chapter begins.

Misha @0xStirol ran a market-making firm before @LiquoriceHQ — core MM on a top exchange, quoting 100+ pairs at once. When his clients started asking for the same thing on-chain, he hit a wall every DeFi market maker knows: you have to pre-fund inventory on every single venue, integrate every solver one by one, and if you need capital you borrow over-collateralized at 14–19% with liquidation risk. Most of that money just sits there, waiting. The insight that stuck with me: the capital isn't scarce. It's idle. The same dollar could settle hundreds of trades a year if it never had to leave the trading perimeter. That's Liquorice. LPs deposit into one shared pool. Whitelisted market makers borrow just-in-time to quote across CoW Swap, Kyberswap, OKX Web3 and more from a single integration — and the borrowed capital can't go anywhere except settling the trade. The counter-leg lands back in the pool, ready for the next MM. In public alpha, $1 of LP capital was turning over roughly 700x a year: $50M+ settled across 3,000+ trades in under four months, live on ~98% of days, with top CoW solvers routing through it. Misha trained in auction mechanism design before he ever touched a market, and his co-founder Toly scaled an institutional crypto liquidity platform to ~$3B monthly notional. There aren't many teams who understand both the game theory and the plumbing. Very proud to back @LiquoriceHQ in our @EASYResidency S4. Follow @0xStirol for more.

Bevis @d0_yoda and Leo @leohwlee are two Hongkongers who met at @AntGroup's headquarters years ago, stayed friends, and kept trading startup ideas long after they both left. When Bevis's Philippines payments business needed to go after licences and grow up, he pulled Leo in. That's how D0 started. The insight from our first call that I keep repeating to people: in Southeast Asia, nobody pays with a card. They pay with a QR code. And every global on/off-ramp is built on cards. So when a wallet, an exchange, a prediction market or a tokenized-stock platform wants to serve users in the Philippines or Thailand, they hit the same wall: QRPH, PromptPay, a dozen brittle bank integrations, each with its own licensing. Users hold pesos and baht. The platform runs on stablecoins. Nobody wants to build the messy local leg in between. D0 is that leg. One developer-first API: the platform integrates once, D0 collects local fiat over the QR and account-to-account rails people actually use, and settles to the platform in stablecoin — same day, T+0. That's where the name comes from. Day zero. Why this team: Bevis spent a decade shipping payments and consumer products at scale in Asia — Ant Group, Alibaba, Meituan, Lalamove — then built a Philippines payments company from zero with no outside capital. Leo was a founding member of Alipay+, where he helped land the anchor wallet deals across Southeast Asia: GCash, TrueMoney, Touch 'n Go, DANA. Aligning wallets, regulators and banks market by market is literally the job D0 is doing now. They're early, and they'll tell you that themselves. But I've rarely seen founders who understand the unglamorous middle of emerging-market payments this well. Very proud to back @D0payment in our @EASYResidency S4. Follow @D0payment for more.

Atomic on-chain settlement can require market makers to pre-fund the full notional of a trade, leaving capital fragmented across venues and counterparties. @LiquoriceHQ moves credit into the transaction itself: > A desk posts collateral, wins the intent and borrows from a shared pool at settlement > The returning leg replenishes the pool so the same liquidity can support subsequent trades The team reports $61.9M in settled volume since launch. Liquorice is live on Ethereum, with six solvers routing to it and four market makers signed on. Catch Mikhail Alefirenko and @defi_defiler at EASY Residency S4 Demo Day.

🇹🇭 Your next chapter with YZi Labs could start in Thailand. Join @EASYResidency S5 and build alongside founders, investors & operators worldwide. Applications are now open until September 21, 11:59 PM GMT-7. Explore previous seasons & apply 👉

Every stablecoin thesis stops at the dollar. That's the half that already works. We backed @ViFi_Labs @tonyolendo @varounsvlogs in ER S4 for the other half. Moving dollars into an emerging market is solved. Getting out of them isn't. That leg still runs through desks that pre-fund inventory, quote by hand and rebalance daily, and the cost of all that carry sits in a spread the end user never sees. It hasn't moved onchain because every pool design on offer asks someone to sit on the weak side of the trade. Nobody wants to warehouse a currency that bleeds while they wait to be traded out of it. So liquidity never forms, and the desks keep the spread. ViFi's insight is that most of the trade was never in dispute. The gap between the official rate and the real one is the only thing anyone actually disagrees about. Price that alone, anchor the rest, and a market maker can quote depth in naira without ever holding naira. What convinced us: • The mechanism design changes who carries the risk, which is the only thing that has ever gated this market. • The counterparties are the issuers themselves. Licensed local stablecoin issuers want to seed liquidity in their own currencies, and they've committed to nine figures of monthly flow before the thing is even live. A distribution structure. • They were already doing this by hand. Tony and Varoun live in these markets and have been market-making them manually. The design reads like it came from people who got tired of their own workaround. The dollar leg went onchain years ago. Everything on the other side of it is still waiting.

🇧🇹 Returned from Bhutan: @EASYResidency S4 Sharing Stories Behind Demo Day What happens when a group of founders spends five weeks together in Bhutan? What were our first thoughts upon landing? What was the most unforgettable moment, the toughest reality check, and the biggest challenge we faced? From application, to 🇧🇹 building journey, to the final Demo Day - we’ve invited a panel of S4 founders to spill the tea on these five weeks. 🎙 Host: @web3sistera — Host & Cofounder of @biteyecn 🗣 Speakers: @alxfal，Cofounder&COO of @aile_fx @defiteddy2020，Founder&CEO of @xhunt_ai @defi_defiler CTO of @LiquoriceHQ @edwardsolah，Cofounder&CEO of @roostooAI @FelipeMontesJ，Cofounder&CEO of @KravataWeb3 @KarenxTang，Head of Growth & Partnerships of @nara_usd @Normanxbt，Cofounder&CEO of @ZeroDriftSec 📌 Agenda: 🇧🇹 Bhutan Memories & Reflections 📝 Tips for EASY Residency Applications 🎤 Behind the Scenes of Demo Day 📅 Sept 9 Wed 9:30 AM EDT / 9:30 PM UTC+8 Scan the QR code to set a reminder or join us live! Bringing you all the stories from our founders’ Bhutan reflections in one session. See you there! ❤️ #YZiLabs# #EASYResidency# #Bhutan#

When on-chain quotes go stale, passive LPs can absorb the cost through adverse selection and loss-versus-rebalancing. @Elfomo_Fi runs a multi-curator prop-AMM instead: > Professional market makers set prices; LP strategies target delta-neutral market-making yield > Distribution across 10+ major routing venues, with controls designed to filter toxic order flow The team reports more than $1.4B in all-time on-chain volume, with strong capital efficiency since launch. Catch @0xlegg at EASY Residency S4 Demo Day.

An audit is a snapshot. The codebase keeps moving after it — upgrades, permission changes, new integrations — and every diff quietly reopens the attack surface. Meanwhile the attackers probing it are increasingly agents themselves: tireless, parallel, always on. A once-a-year PDF was never going to hold that line. That's the bet behind @ZeroDriftSec: security that runs continuously and acts at machine speed — detect the risk, prove it's actually exploitable, ship the fix. The name is literal: zero drift between what your code intends and what it does. I've watched @Normanxbt and his team live this bet. Their Season 3 application was rejected — sharp idea, not enough traction yet. They didn't argue with the feedback. They came back for S4 with paying clients, whitehat containments backed by onchain receipts, and their AI auditor working inside real audit engagements. That's what earned the conviction. The full story is theirs to tell — Norman's write-up is coming. Proof of work, not promises. Proud to have them in our @EASYResidency S4.

Proud to back @De1_ai in ER S4 Almost every trading agent shipping today was trained on a market that doesn't exist. Backtests and simulated order books don't push back. Offline winners get taken apart the moment real capital is on the line. De¹ closes that loop. Intent routes across 1,000+ liquidity sources on 40+ chains, and every real fill comes back as a verifiable reward label that trains the model that produced it. Execution quality and market understanding improve together. That's the Financial World Model. Three things we underwrite: - The dataset can't be bought. $40B+ lifetime volume, 3.1M contributors. Live execution data is the one training set you only earn by sitting in the flow. - One physics engine, many worlds. The same substrate specializes into perps, prediction markets, tokenized assets, lending, stablecoin corridors. Every world feeds the base. - Contributors own it. Privacy-preserving training lets traders and institutions add signal without leaking strategy, and records them as owners of the intelligence they help build. Timing is the whole point. bStocks is making assets programmable. Agent OS is giving agents hands. What's missing is something that learns from consequences. From ZERO to DE ONE

Most market simulators rely heavily on historical data and handcrafted assumptions. By the time the model is deployed, market behaviour may already have changed. @De1_ai is building a financial world model that learns from live execution: > Real-capital execution provides continuous feedback, allowing the model to refresh daily > Aggregated order flow across the network expands the learning set beyond its own trades The team reports $800M+ in daily volume across 200+ institutions, 1,000+ liquidity sources, and 40+ chains. Its reinforcement-learning trading system has also processed more than $400B in client flow. Catch De1 at EASY Residency S4 Demo Day.

Slow cross-border settlement can tie up trillions of dollars in pre-funded accounts, leaving fintechs to choose between idle liquidity and delayed payments. @nara_usd turns pre-funding into a credit line: > Fintechs draw 24/7 and pay interest only on utilised capital; undrawn liquidity is held in T-bills > Financing income powers NaraUSD’s 10%+ target yield, backed by a 14-day asset duration and DeFi composability The team reports $20M committed for its September public launch. Catch @JKronbichler at EASY Residency S4 Demo Day.

Agents can reason. Connecting them to external tools still often means separate portals, API keys and subscriptions for every service. @xapi_to gives agents one gateway: > 500+ APIs behind a single key — the agent reads the xAPI skill and makes the call > No separate sign-up or subscription for each underlying service The team reports 10M requests served across 1,700 users. Catch @0xAA_Science at EASY Residency S4 Demo Day.

Onchain social trading still treats screenshots as proof. New investors act on someone else’s call, yet few can verify the track record. @SmartXTerminal closes that gap: → Verified social: real positions and PnL → Personalized signals: recommendations matched to your risk profile → One-tap execution: no gas, bridging, or signing From discovery to execution across memes, perps, stocks, and prediction markets, all in one place. Built by a top-10 Binance Perps trader in 2025 and a former ByteDance engineer. Catch @tt_jess27190 at EASY Residency S4 Demo Day.

A little something is cooking in Bhutan 👀 @ellazhang516 @cathyIncubates behind the camera today — preparing a surprise for EASY Residency S4 Demo Day. Stay tuned for Aug 26. 🇧🇹

🇧🇹 Inside the weekly rhythm of EASY Residency Season 4. Founders coming together weekly to share what they’re building, pressure-test ideas, ask better questions, and learn from each other in real time. The countdown to Demo Day begins...