Partner at Blockchain Capital
Check size: No verified personal check-size range is published. Blockchain Capital describes itself as a multi-stage crypto investor; Yuan's public work spans seed-stage selection through later protocol and company support, but no individual allocation authority should be inferred.
Yuan backs crypto-native founders with earned insight, behavioral resilience, learning velocity, and the ability to translate non-consensus ideas into enduring systems. His technical work spans modular infrastructure, cryptographic acceleration, token economics, and network utility; his consumer work emphasizes distribution through existing behavior and trusted platforms. His latest framework looks for crypto companies that exploit a temporary market gap, build a self-reinforcing growth loop, and graduate that advantage into durable trust, integrations, liquidity, compliance, or consumer-grade product.
Lead with why this, why now, and why your team has an earned edge. Show the non-consensus insight, founder behavior under adversity, learning velocity, co-founder complementarity, and ability to recruit. For the business, identify the market gap, prove the initial crypto-native growth loop, and map the graduation path into durable liquidity, distribution, integrations, compliance, institutional trust, or consumer-grade UX. For protocols, detail utility, token value accrual, governance, security, and real usage.
Founders with an earned edge, deep urgency, lived problem knowledge, precise and internally consistent vision, complementary co-founder dynamics, grit, rapid learning, talent magnetism, and principled nonconformity. He values teams close to the problem that can win crypto-native power users first and then develop the compliance, trust, distribution, and product standards needed for a durable mainstream company.
His writing is explicit about weaker fit: compelling ideas without exceptional founders, prestige without proximity to the problem, narrative imprecision, teams that cannot handle pivots or stress, speculative infrastructure without real-world usage or durable distribution, token projects without defensible value capture, and crypto-native growth loops that never graduate into lasting moats.
Identify a gap between markets or regimes, use crypto-native capital and community fluency to bootstrap a self-reinforcing loop, then convert it into durable trust, integrations, liquidity, compliance, brand, and mainstream product before incumbents respond.
Pressure-test vision consistency, earned founder-market insight, co-founder complementarity under stress, reference-backed grit, learning velocity, talent magnetism, nonconformity, and narrative precision rather than underwriting the initial idea alone.
Analyze practical network utility, stakeholder incentives, token supply and distribution, governance rights, value-accrual mechanisms, competitive network effects, regulation, and fundamental cash-flow scenarios as an integrated system.
“The right founders can out-execute a wrong initial idea and still navigate to the largest feasible market opportunity they can tackle.”
— https://www.blockchaincapital.com/blog/evaluating-founders-at-the-seed-stage
“The arbitrage has three steps: find the gap, build the loop, graduate the advantage.”
— https://www.blockchaincapital.com/blog/the-art-of-arbitrage
Durable crypto companies find a persistent market gap, bootstrap a crypto-native growth loop, and graduate the temporary edge into trust, compliance, integrations, liquidity, or consumer-grade product before the window closes.
At seed, founder character and behavior outweigh the initial thesis: earned edge, vision, co-founder dynamics, grit, velocity, talent magnetism, and nonconformity predict the ability to pivot toward a large market.
Crypto can reach Asian consumers by embedding ownership, payments, gaming, and yield into trusted mobile super apps whose users already understand digital wallets, rewards, and virtual economies.
General-purpose, programmable cryptographic processors can do for ZK and FHE what GPUs did for AI, unlocking commercially viable privacy and verifiability through hardware-software co-design.
Long-term digital-asset value requires analyzing tokenomics, network utility, governance, value accrual, fundamentals, and network effects rather than relying on price momentum or speculative narratives.
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