Associate Partner at Maven 11 Capital
Check size: Maven 11 does not publish a dependable personal or firm check range on its current site. Founders should confirm the applicable venture vehicle, initial ownership, token/equity structure, lead appetite and reserves directly with Pim rather than relying on directory estimates.
Pim applies bioinformatics, data-science and machine-learning training to fundamental crypto investing. His disclosed lead investments span decentralized AI compute, zero-knowledge proof systems, transaction preconfirmations, sequencing and on-chain financial infrastructure, suggesting a preference for technically rigorous protocols that remove a real systems bottleneck and can become durable coordination or computation layers.
Explain the systems bottleneck, current workaround and why a decentralized design wins; show architecture, trust assumptions, performance, security and economic model; identify the first developers or users, evidence of pull, distribution and ecosystem dependencies; then give token/equity structure, round, milestones and the exact help sought from Maven 11.
Founders who understand the protocol problem at first principles, an important bottleneck in computation or financial coordination, credible technical architecture, evidence that decentralization creates a real advantage, strong open-source or developer pull, thoughtful mechanism design and a long-term relationship mindset.
No personal pass list is public. His portfolio and Maven 11's positioning imply weak fit for shallow token narratives, decentralization without a user or security benefit, protocols with fragile incentives, copied infrastructure, teams unable to explain system tradeoffs and short-term projects that do not warrant a durable network.
Identify the constrained resource or coordination failure, quantify its cost and show why the protocol changes the feasible system design.
Demonstrate which trust, censorship, composability, ownership or resilience benefit cannot be delivered as well by a centralized service.
Compare security, performance, cost, latency, data availability, interoperability and operational complexity against alternatives.
Track integration demand, time to first success, repeat usage, ecosystem contributions and downstream applications rather than headline partnerships.
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