YUHAN HUANG

Hank (Yuhan) Huang · Taiwan

I build autonomous systems that do the work of a team.

5,000+ Docker nodes · a five-machine fleet · 0.92% of Lighter's first airdrop · 24/7 self-healing agents.

See the proof ↓ X / 幣玩hank Email Origin

What I've built with AI

I earned 0.92% of Lighter's first airdrop

The tokens landed on-chain, sized by how much I traded. I didn't claim anything and there's no vesting. It's the most recent one I've earned.

0.92%

of Lighter's entire first airdrop landed in my wallet in 2025.

The bet

AIIM: one network for every AI agent

Soon everyone runs their own AI agent, and every company runs one too. None of them can reach each other yet. AIIM sits in the middle, so your agent can reach another person's, or a company's, and they finish the job together.

AIIM architecture Two agents owned by different people each connect to a shared AIIM room, a turn-based relay running on a Cloudflare Durable Object. A judge watches the room and scores the agents' progress as they work. Your agent runs on Hermes Their agent someone else's Hermes AIIM room Cloudflare Durable Object relay · 2 to 4 agents · turns Judge scores progress as they go watches
Agents owned by different people join a room, take turns, and a judge scores their progress. Right now two agents on my fleet can run a task to the end. I'm building key pairing and signing next, so you approve who joins and every message is verified.

I'm building AIIM so any person's agent can work with any company's. It runs on my five machines.

See how AIIM works →

Infrastructure

I built a 24/7 self-healing agent system

Five machines running agents around the clock. When one freezes or crashes, the system catches it and brings it back on its own. I built the orchestration and the recovery around the models. Next I want to build the models themselves.

~100s

to recover on its own from a silent freeze that used to run for hours. 40+ production failures so far, each one turned into automatic recovery so nothing fails silently twice.

Technical notes
  • A watchdog that restarts dead agents at the process, service, job, and machine level.
  • Durable job state, so interrupted work picks back up after a restart.
  • Auth and sessions that renew themselves and recover from expired credentials.
  • Memory and state shared across all five machines.
  • Detection and recovery for a frozen event loop, the worst kind of silent failure.
  • Alerts and logging, so I can tell a model failure from a network or orchestration one.

How the recovery works →

I ran a 5,000+ node network in Docker

When Nillion opened its verifier program in 2024, I'd never touched a container. I learned Docker with AI as I went and ran the whole fleet myself.

5,000+

verifier nodes in Docker containers, on a Mac mini cluster I run at home.

I built a quant execution system, validated across 813 trades

A cross-exchange latency-arbitrage engine in Go, written with AI. I built the signal logic and the execution engine, and reverse-engineered the strategy from public fill data.

813

trades validated in a dry run before it went live on my own fleet.

I'm not publishing capital, returns, or win rate. It's a live system I run on my own money. I'm not giving advice and it's not a managed account.

Four years of earning airdrops, since high school

Lighter is just the newest one. I've earned the big ones the whole way through. Starknet, Arbitrum, Hyperliquid, Lighter. Before those came a studio, where I read token designs and built the on-chain footprint that qualifies. The tooling around them I write with AI now.

BlockTempo, Taiwan's largest crypto publication, interviewed me as a high-school Starknet airdrop hunter. See the track record →

I orchestrated hundreds of Web3 environments

Before Hermes, I built the orchestration for hundreds of independently managed Web3 environments. It ran their full lifecycle and recovered them when they failed. It tracked the state of each one and ran actions across all of them at once. I leaned on the coding models as they got good.

Getting it deterministic at that scale is the hard part. One wrong assumption cascades everywhere. That's the recovery work Hermes runs on now.

An 8-module framework I called Eclipse, across several protocols.

I built a 14K-person crypto audience from Taiwan

I write research and how-tos about crypto, the infrastructure, DeFi, and where the on-chain opportunities are. I've spoken at universities and industry events too.

14K

followers on X, where I've written crypto how-tos and airdrop guides since 2022: @hank06171.

At 19 I incorporated a company

It's where this work legally lives. I built it out with AI. I registered the domain and set up the company email and a GitHub org, then wrote the automations that keep it active.

19

the age I registered it. Taiwan entity live.

墨克數位科技股份有限公司 · MKL Digital Technology Co., Ltd. · TW reg. 62201452, incorporated 2026-04-22. On the public Taiwan company registry.

Community

Next semester I take over as president of the NTHU Blockchain Club

I started as a member. I've taught several of the club's sessions using AI, and this year I'm taking it to Token 2049.

I don't only build alone. It's the same work I do everywhere else, just in front of a room.

NTHUBC

國立清華大學區塊鏈研究社 · NTHU Blockchain Club.

Origin

How I got here

I left high school two credits short of graduation while taking a nontraditional path into crypto and building full-time. I later got into National Tsing Hua University through a track that looked at my work and interviews instead of test scores.

By then I was already deep in crypto, running my own automation. Once the coding models got good in 2024, I leaned on them hard, taught myself Docker from zero, and ran a Nillion verifier fleet past 5,000 nodes.

It's the same thing I did in high school, just bigger: point AI at something real and take it all the way. The agent fleet, the quant systems, and the company all came out of that.

The Academy

What I'd build with a year in San Francisco

How far can one person scale when AI does the work? That's what I keep chasing. I've been answering it in pieces. Hermes is the agent fleet, and it runs on five Mac minis for compute. Crypto is where I test, since the record is just whatever ends up on-chain. The quant systems decide and execute on their own. Each piece works by itself. I haven't put them together yet.

That's what I'd build here. An autonomous economic system that runs itself. The agents watch the markets and trade on them, deploy and fix their own code, and move compute to wherever it's needed. No one has to be at the keyboard. The closest thing running today is AIIM, my agent-to-agent network. It's live on my fleet now. To take it past a prototype I need people I can't reach from Taiwan.

The compute isn't why I'm applying. I can engineer the systems myself. What I can't get from a desk in Taiwan is the people. I want to be around builders this good every day, and spend a few months building inside the companies whose models and infra I already use. If you take me, I leave National Tsing Hua University, move to San Francisco, and spend the year on this full-time.