investing & building quetta labs
san francisco & seoul
Joined December 2025
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there's no box on the SFO customs form for "here to build a decacorn."
so we're hosting dinner for the founders who'd check it.
international founders shipping consumer + AI across borders co-hosted with @PhotonHQ #SFTechWeek
thurs oct 8, SF. 18 seats, dm for an invite.
Excited to make this happen!
@getsolari is joining a Stealth Incubator backed by @kakaocorpglobal, to host an intimate event in SF for researchers and founders building computer-use agents, across frontier labs, agent startups, and university groups
We'll dive into:
→ What stays and what dissolves as software gets rebuilt for agents
→ World models: can agents learn software environments the way they learn the physical world?
→ The Jevons paradox: what happens when computer work gets cheap
Candid, off-the-record (Chatham House Rule), plus a first look at what we're both building next
Request an invite 👉 partiful.com/e/JoetWd5pgrNHP…
Seats are extremely limited
Excited to be working with @JqOnly, @dylanventures_ and @henryyam_ @Techweek_
saw this on linkedin the other day but:
someone needs to create an agent to answer spam calls and keep the caller on the line as long as possible so it ruins the unit economics of the spam call channel lol
In SF, dropping out is a badge of honor.
In Korea, it's a family emergency.
I'm not going back to college. Not because it's brave. Because in Asia "risk" doesn't mean losing money, it means losing face. And the price of never looking bad is never becoming great.
finding private event space in sf during tech week is harder than convincing someone to write my first check 😭😭
Building your company around winning pitch competitions is the worst thing a college entrepreneur can do
Constraint I'd recommend to any founder: you get one message per day to your team.
You will discover that 90% of what you were saying was anxiety, not information.
dylan kim retweeted
A 19-year-old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
Here's how it works:
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
💡 I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it:
1️⃣ Comment "Fable"
2️⃣ Like and Repost
3️⃣ Follow @anjum_ai
I'll DM you the complete setup.
dylan kim retweeted
theres a method you learn in YCombinator to compress a month of GTM research into 3 hours.
you dont ask Claude to “research the market.”
instead you feed it:
30+ competitor fully indexed websites
10+ earnings call transcripts (biggest incumbents)
100 customer reviews
10+ Reddit thread full of complaints (if u can find them)
then, after that you ask claude:
“what does every successful player in this market understand that customers never say out loud?”
then ask:
“what are the assumptions this entire market is built on, and what would have to be true for each one to be wrong?”
15 minutes later, you’ll have:
-the blind spots
-the consensus
-the ideas relevant to customers that nobody’s talking about
then get Claude to attack the idea like a great investor.
“what’s the strongest version of this argument, and where does it still break?”
3 hours later, you’ll have a (very initial) GTM strategy that feels like it comes from someone who’d spent a decade in the market.
use Claude like a tireless research partner with no ego about being wrong
develop ur intial hypothesis, then go out into the market and start having real customer convos to validate it
(you can use tools like Origami to quickly build customer lists to target)
First post. I'm Dylan 👋
At 15 I built games with the guy who made Flappy Bird. At 16, when school went online and Zoom didn't exist in Asia, I built a study platform and sold it. At 17 I ran the largest tech-literacy nonprofit in Vietnam.
Then Boston for college, where I co-founded MLV with someone I met at freshman orientation and scaled it to seven countries. Then two years of mandatory service in Korea, running it from a base.
Just got out. Building something new.
