Official affiliated account of @YZiLabs. EASY Residency is YZi Labs’ global incubation program, supporting founders in Web3, AI, and Biotech.
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🇹🇭 Build with us in Thailand! EASY Residency S5 applications are now open.
We’re looking for founders building across:
> Programmable Capital & Onchain Markets
> AI Infra & Compute Economics
> AI Interfaces & Consumer Layer
> AI × Bio & Programmable Science
Apply by Sept 13 → bit.ly/45WOv3M
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EASY Residency retweeted
标题：AMA：如何才能获得 YZi Labs 投资？
Biteye @BiteyeCN 9 月 11 日举办线上 AMA，EASY Residency S4 多位创始人共同复盘在不丹参加 YZi Labs 训练营五周的经历，并分享申请 YZi Labs 的经验与建议。FinTax、Facto、De¹ 等项目创始人表示，申请时最重要的是做减法，用最简单的方式讲清楚项目解决什么问题、为什么由你来做，而不是堆砌产品、技术和市场信息。YZi Labs 投资负责人 Jeffrey Hu @jeffrey_hu 则表示，对于早期项目，他们会重点关注创始人的思考能力、执行力，以及项目是否已经展现出产品进展、市场拓展、获客和收入增长的潜力。
来源：Biteye
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💡 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 👇
founders.yzilabs.com/apply/e…
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 👇
founders.yzilabs.com/referra…
Come build with us in Thailand for Season 5 🇹🇭
Up to $500K in investment, with housing, meals, and workspace fully covered.
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EASY Residency retweeted
命题作文只是抛砖引玉，最重要的是追随你的梦想和信念，不必为切题而来。
S4毕业的项目中，在命题作文（Stablecoin Payment）之外惊艳大家的项目举不胜举：@De1_ai 在构建首个金融世界模型；@FinTax_Official 在解决TradFi向DeFi融合之际各大企业的税务问题；@SmartXTerminal 很快将推出比Fomo更实用的social trading app；@MeddcomAI 正在推出AI驱动的个性化精准长寿与主动健康管理平台…
@EASYResidency S5p等你来泰国一起build，面试正在紧锣密鼓进行中，尚未提交申请的同学请通过Easy Residency官网提交：
yzilabs.com/easy-residency
昨天看 @0xBeyondLee 老师盘点 @EASYResidency，写得太全面了。
新一期 S5 马上开幕，而且就在泰国。作为第二季项目方，我来聊几个大家最关心的问题：
怎么加入 EASY Residency，入选后是什么体验，以及它到底对项目有什么帮助。
怎样加入 EASY Residency
加入 EASY，意味着你成为 @yzilabs 的被投项目，也就是某种意义上的“CZ 门生”。
这并不容易，但也不是完全没有方法。
先说一句，以下主要针对 Crypto 项目。AI 和其他赛道我不懂，不乱讲。
1. 基本功
现在的 EASY Residency，可以理解成 @cz_binance 的“梦想基金”。
它的核心不是找下一个“百倍币”，而是找到有能力、有想法，而且愿意长期折腾的人。
币圈发展到今天，从起项目、做产品、TGE、上所、做市值、拉 TVL，已经形成了一套相对成熟的产业链。
真正稀缺的，是把这些环节都经历过、而且现在还在一线持续搞事的人。
这也是 YZi “投项目就是投人”的原因：
这个项目未必成功，但这个团队、这个人，大概率早晚会成功。
比如 S4 的 SmartX @David_MetaWorld、XAPI @0xAA_Science、Xhunt @DeFiTeddy2020；
S3 的牛子液体 @cryptoxiao、蝴蝶 @eth_cedric；
S2 的 Predict Fun @dingalingts。
这些人的共同点，不是追到一个风口，而是长期愿意在币圈折腾，主观能动性极强。
不是游客。
所以如果你自己的资历还不够强，组队的时候尽量把拼图补齐，会非常重要。
2. 产品准备度
这个很看赛道。
目前大多数 DeFi 类别的入选团队，基本已经有可用产品，有些甚至已经跑出了不错的数据。
比如 S4 的 @elfomo_fi、@XStableAI、@SmartXTerminal。
但也不是所有项目都要求做到这个程度。
比如 RWA，尤其支付类项目，牌照和合规本来就需要很长周期，不可能要求一蹴而就。
3. 与 YZi 投资策略的契合度
YZi Labs 每一期 EASY Residency 之前都会提前公布主题。
比如 S5 的主题是：
“AI inside markets” AI 如何改变不同市场里的交易逻辑。
所以如果你做的是 AI 提升交易策略、执行效率、市场分析等等，当然都很切题。
但这里有一个问题：
谜底写在谜面上的方向一般都是最卷的。
每一期都会收到大量为了“切题”让 GPT 临时拼出来的项目，然后被批量过滤。
YZi 也不会希望 Demo Day 连着十几个一模一样的项目。
所以你需要顺着主题再挖一层。
如果“AI inside markets”真的成为新常态，那么市场里的发行、交易、做市三类参与者，行为会发生什么变化？又会产生什么新的需求？
能把场景给出来，再点出场景的刚需，那么只要场景值得“赌”，成功率就会高一截。
入选后的体验
EASY Residency 不是黑客松。
入选项目后，先是 5 周线上培训，导师会覆盖立项、发币、Pitch、GTM 等各个环节。
我们当年这一段是在新山 Network School。
一声叹息。
然后进入 5 周线下集训，一直到最后的 Demo Day。
我个人感觉，S4 比 S2 的线下共建更有生产力。
原因也很简单：
大家被“困”在不丹首都，周围没什么别的可干，只能每天集中精力想项目、搞建设。
在这一点上，EASY 团队表示：“选廷布这样‘清真’的城市真是太棒了，下次还干。”
Demo Day 的规格一般也很高。
YZi 会请很多知名机构负责人、大 KOL 现场听 Pitch。
比如这次有 1KX 的 @pet3rpan_ Capital 的 @arthur0x Spartan 的 Kelvin Koh、DCG 的 @BarrySilbert Dragonfly @tomhschmidt 等等。
甚至不丹国王也亲临现场。
所以 S4 可能也是历史上第一批直接对着国家元首 Pitch 的 Crypto 项目方。S5 Demo Day和Binance Blockchain Week同期举办，想必阵仗也不会小
实际上对项目有什么帮助？
简单说三点。
1. 冷启动
YZi 有时会直接牵头，帮项目在 EASY Residency 的毕业生网络里做第一波增长。
比如 @xhunt_ai 那次 Echo 活动。
同时 YZi 自己也会围绕 EASY 做不少曝光。
如果利用得好，至少可以帮你省掉一部分 Twitter 从 0 做到 3000 粉的冷启动成本。
2. 快速建立 VC 网络
整个 Program 会帮你接触很多机构和 Angel。
比如 S4 的 Sandeep 就相当积极。
当然有一说一，作为华人项目方，最后想真正 close 北美的钱，依然不容易。
EASY 能帮你把门打开，但不能替你把 cheque 拿回来。
3. 背书
这个其实最简单。
做过市场的人都知道：
有 YZi，和没有 YZi，完全是两回事。
如果你觉得自己是那块料，记得迅速申请参战：
yzilabs.com/easy-residency
如果你申请了但是吃不准：
欢迎私信我，老中医免费给你支几招。
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EASY Residency retweeted
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.
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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.
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.
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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.
Card penetration remains low across much of Southeast Asia, where QR payments and local bank transfers are already central to everyday commerce.
@D0payment lets platforms accept the payment methods customers already use through a single integration:
→ Local QR payments and crypto in one checkout
→ Live in the Philippines, Thailand and Malaysia
The company's existing Philippines payments business processed $120M in 2025.
Catch @d0_yoda @leohwlee at EASY Residency S4 Demo Day.
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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.
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🇹🇭 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 👉 yzilabs.com/easy-residency
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EASY Residency retweeted
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.
Payment companies moving money into currencies like the Nigerian naira, Brazilian real and Argentine peso often have to pre-fund each corridor. This ties up capital and exposes them to local-currency risk, with few ways to hedge.
@ViFi_Labs splits FX pricing into two components:
→ An oracle provides the global reference rate
→ An AMM prices the local premium based on supply and demand in each corridor
Payments settle from USDC in seconds, reducing how much local-currency inventory market makers need to hold.
Signed LOIs represent $120M+ in prospective monthly volume.
Catch @varounsvlogs at EASY Residency S4 Demo Day.
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🇧🇹 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
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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.
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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.
A security review captures software at one point in time. The code can change with the very next release.
@ZeroDriftSec is turning security expertise into infrastructure that compounds:
> Engineers embed in customer environments and turn investigations into reusable agents and workflows
> Each deployment expands into recurring software and platform coverage as the attack surface grows
The team has helped secure $500M+ in on-chain assets and contributed to 150 audits covering more than $1B across major exchanges, wallets and crypto infrastructure.
Catch @Normanxbt at EASY Residency S4 Demo Day.
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EASY Residency retweeted
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.
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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.
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A security review captures software at one point in time. The code can change with the very next release.
@ZeroDriftSec is turning security expertise into infrastructure that compounds:
> Engineers embed in customer environments and turn investigations into reusable agents and workflows
> Each deployment expands into recurring software and platform coverage as the attack surface grows
The team has helped secure $500M+ in on-chain assets and contributed to 150 audits covering more than $1B across major exchanges, wallets and crypto infrastructure.
Catch @Normanxbt at EASY Residency S4 Demo Day.
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I've known @FelipeMontesJ for four years now. When we first met, Kravata was barely getting started - a small team in LATAM working on a problem most people outside the region didn't even see.
What I've watched since is one of the most disciplined builds. Licences, one country at a time. Banking relationships, one bank at a time. Local liquidity, ramps, yield, multi-currency payouts - all folded into a single widget that any bank, fintech or telco can drop in.
The insight Felipe kept coming back to, and the one that eventually made me a believer: 60M people in LATAM already hold stablecoins. Demand was never the problem. The banks and telcos those same people use every day simply had no compliant way to offer them.
Now Kravata is that way.
Four years later: $490M processed since 2022, large distribution partners in LATAM, more than 200M users reached. Same founder, same patience, a lot more scale.
Very proud to back @KravataWeb3 in our @EASYResidency S4.
Catch @FelipeMontesJ at Demo Day, and follow him for more.
60M people in LATAM hold stablecoins, but the banks and telcos they use still can't offer them.
@KravataWeb3 gives banks, fintechs and telcos one integration: a regulated rail in each country -- 4 licences, direct banking relationships, local liquidity accounts, ramps, yield and multi-currency payouts through one embeddable widget.
$490M processed since 2022 across 1,700 distribution partners reaching 200M users.
Catch @FelipeMontesJ at EASY Residency S4 Demo Day.
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EASY Residency retweeted
Proud to invest in @MeddcomAI - they’re building the infrastructure for proactive & precision longevity. Unifying fragmented health data into one continuous loop of testing, monitoring, and care to measure and improve biological age.
Health data is fragmented across lab tests, devices and providers, making it harder to build a continuous view of how someone is ageing.
@MeddcomAI brings testing, monitoring and care coordination into one loop:
> 100+ blood biomarkers, 400+ epigenetic markers and data across 20+ organs to estimate biological age and rate of ageing
> The Healix API connects data from 100+ devices into a longitudinal health record
The service has been tested with ~1,000 clients, with 40% conversion and a 70% repurchase rate.
Catch @laurencemeddcom @zhengxin722 at EASY Residency S4 Demo Day.
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