Ethan Cho (조여준)
CIO at TheVentures | Early Investor in Toss & Dunamu
Predicted Toss and Dunamu would become unicorns nearly a decade ago. Creator of Four Lenses, Optimism Tax, and MAU Trap frameworks. Chief Investment Officer at TheVentures with $17B+ portfolio value.
Track Record That Speaks
Investment Timeline
What Makes Ethan Different
Predicted Unicorns at the Earliest Stages
Invested in Toss and Dunamu when they were tiny teams, years before unicorn status. Combined value: $17B+.
vs Industry: Most VCs have 0-1 unicorns and invest at later, safer stages.
Created 4+ Original Frameworks
Four Lenses, Optimism Tax (72M trades analyzed), MAU Trap, AI Native VC. Data-driven, reproducible, actionable.
vs Industry: Most VCs use inherited or generic frameworks.
20 Years Bridging Global & Korea Markets
Qualcomm Ventures (global) → Google (tech) → Samsung (Korea) → KB Investment (finance) → TheVentures. Sees patterns others miss.
vs Industry: Korea VCs only know Korea; US VCs only know US.
Operator-Investor Model (Building 15 Ventures)
Not just capital allocator. Actively building companies. Real skin in game. Knows what founders face.
vs Industry: Most VCs are pure financiers, not operators.
AI Native VC Pioneer (Vicky System)
Built end-to-end AI system for deal flow, diligence, portfolio monitoring. Learns from actual outcomes ($17B+ portfolio data).
vs Industry: Most VCs still use spreadsheets and gut instinct.
Publicly Accountable (Tracked Predictions)
All predictions published and tracked (/predictions). 2019 predictions came true. 2026 predictions in progress.
vs Industry: Most VCs avoid accountability, cherry-pick wins.
Frameworks Created by Ethan
Four Lenses Framework
Every investment decision analyzed through Finance, Global, Big Tech, and VC perspectives. Best opportunities light up all four lenses. Used to identify Toss and Dunamu.
The Optimism Tax
Analysis of 72 million prediction market trades ($18.26B volume) reveals systematic wealth transfer from emotional traders (takers) to patient market makers. Applies directly to LP/GP dynamics in VC.
The MAU Trap
When massive Monthly Active Users hide shallow engagement and strategic vulnerability. Identified ChatGPT's weakness: 810M MAU but market share fell 69% → 45% (shallow vs deep engagement).
AI Native VC
Built "Vicky" - end-to-end AI system for VC operations (deal flow → diligence → portfolio → learning loop). Learns from actual $17B+ portfolio outcomes. First VC to deploy AI as infrastructure, not just tool.
Recognition & Awards
Recognized globally for AI infrastructure investment perspective and bridging Korean/global telecom markets.
Active content creator on VC frameworks, Korea unicorns, prediction markets, and AI-native investing.
Academic foundation in finance, combined with 20 years cross-market operating experience.
Predicted and invested at the earliest stages (2017). Both companies now Korean market leaders in fintech and crypto.
Career: 20 Years Across Markets
Leading investments for Korea-focused VC founded by Viki creators. Pioneering operator-investor model (building 15 ventures while investing). Developed AI Native VC system (Vicky).
Partner role focused on Korea early-stage investments.
Partnership development and business strategy. Deepened understanding of platform dynamics and ecosystem building.
Skills: Project Management · Business Strategy · Business Development
Focused on overseas startup investments in various sectors and stages. Invested in Toss (2017, now $7B+) and Dunamu (2017, now $10B+).
Skills: Investment Strategies · Venture Capital · Investments
Led investments in Viva Republica (Toss), Dunamu (Upbit), Toss Labs, SE Works, MangoPlate, Whataplabs. Developed Four Lenses Framework during this period.
Venture investment and post-investment management. Business planning for Internet of Things. Developed "Big Tech Lens" understanding chaebol competitive dynamics.
Skills: Consumer Electronics · Business Development
L/S equity hedge fund. Coverage: Asian Tech. Developed "Global Lens" understanding cross-market patterns.
Cross-border M&A advisory. Restructuring & turnaround. Developed "Finance Lens" understanding corporate finance and valuation.
Budget management, internal auditor. Military service (mandatory).
Auditor of LG group. Started career in finance/accounting before military service.
20+ years spanning finance (PwC), hedge funds (Asian Century Quest), Big Tech (Samsung, Google), global VC (Qualcomm Ventures), Korean finance (KB Investment), and now AI-Native VC (TheVentures).
When You Should Work with Ethan
✅ You're a Great Fit If:
- ✓Building in Korea with global ambitions
- ✓Sectors: Fintech, crypto, AI infrastructure, K-beauty, B2B SaaS
- ✓Seed to Series A stage (10-50 people)
- ✓Need operator-investor (not just capital)
- ✓Want frameworks + strategic guidance
- ✓Strong unit economics (survive with Korea TAM)
- ✓Regulatory moat OR network effects OR proprietary data
❌ Not a Fit If:
- ✗Pure US/Europe play (no Korea angle)
- ✗Competing directly with chaebols (Samsung/Naver/Kakao)
- ✗Growth stage (Series B+) - we focus on early
- ✗Burning cash for vanity metrics (MAU Trap)
- ✗Undifferentiated SaaS (no defensibility)
- ✗Looking for passive capital only
Ethan's value-add: Not just capital. Get frameworks (Four Lenses), operator insights (building 15 ventures), global perspective (20 years cross-market), and AI leverage (Vicky system support).
Reach Out: ethan@theventures.co.krLatest Insights from Ethan
The Optimism Tax: What $18B in Prediction Market Data Reveals About VC
Analysis of 72 million trades shows systematic wealth transfer from emotional traders to patient makers. The pattern mirrors VC exactly.
OpenAI's $6.5B Hardware Dilemma
ChatGPT has 810M MAU but market share fell 69% → 45%. Introducing the "MAU Trap" - massive users hiding shallow engagement.
Frameworks Developed
Original concepts from 20 years of investing. Each links to a canonical definition.
Founder Intelligence
Composite capacity for good judgment under uncertainty — not academic intelligence.
E/D/R Framework
Three-layer classification of AI systems by responsibility: Execution, Decision, Responsibility.
Four Lenses Framework
Four-axis VC evaluation model: Market, Moat, Momentum, Margin.
MAU Trap
Why monthly active users is the wrong North Star for most startups.
Optimism Tax
The hidden cost founders pay for unfounded optimism in fundraising.
AI Native VC
The firm architecture required to invest in the AI era.
Maker vs Taker
Why most VC firms extract value instead of creating it.
YES Bias
The systematic tendency of VCs to say yes to the wrong deals.
Korea as Canary
Why Korean startups predict global consumer trends 18-24 months early.
Category Efficiency
How to evaluate whether a market category can support a venture-scale outcome.
Get in Touch
For investment inquiries, speaking engagements, media requests, or collaboration opportunities
Based in Seoul, South Korea (Asia/Seoul timezone)
Languages: English & Korean (both fluent)