Distributed Systems

Paradigm

Check: No personal check range or decision authority is published. Paradigm invests from first check through public markets, but Caitlin's current collaborator status and the firm's capital base do not establish an individual check size.

Caitlin is a Paradigm venture partner and Stripe zero-to-one strategist whose published investment perspective centers on crypto's ability to improve online coordination and create internet-native economies. Her current Paradigm work is best understood as a collaborator and ecosystem/talent lens, with stated interest in markets, incentive design, distributed systems, developer tooling, applications, and agentic commerce.

Electric Capital

Check: Electric Capital's current website publishes a $1M–$15M+ range from pre-seed through Series A; its January 2026 user-owned-technology thesis says it invests $1M–$20M in that theme. No separate personal range is published for Ren.

Ren backs deeply technical, trust-minimized systems and the builders who can turn them into usable infrastructure. His work combines protocol security, consensus game theory, smart-contract code analysis, developer activity, liquidity, volatility, and market structure. A central test in his published thinking is whether a protocol truly compresses verification cost for a sufficiently standardized asset or interaction—and whether it can overcome the friction, coordination, and funding disadvantages that usually pull products back toward centralized platforms.

Lightspeed Faction

Check: No personal check-size range is published. Faction invests at Seed and Series A through equity and tokens; its fund size and portfolio rounds are not Raymond's personal allocation parameters.

As Faction's Technical Partner, Raymond evaluates early blockchain companies across the stack, from base infrastructure to applications. The safest evidence-supported interpretation of his mandate is technical diligence on whether a protocol is fundamentally useful, securely designed, and executable by a team capable of balancing a frontier vision with precise delivery.

Variant Fund

Check: Variant does not publish a reliable personal check range. Elijah works at the earliest stages, but founders should confirm fund vehicle, allocation, ownership, lead/co-lead appetite, token/equity structure and reserves with the partnership.

Elijah backs technically ambitious founders building new mechanisms, markets and infrastructure. His work joins crypto market design with a widening AI thesis: mature financial systems need expressive, risk-aware primitives beyond speculation, while specialized AI can beat general models when domain reasoning is idiosyncratic and output quality can be objectively verified. Across both, infrastructure should expand user agency and support real applications.

Electric Capital

Check: Electric Capital publicly advertises firm-level checks of $1M–$15M+ from pre-seed through Series A. No personal range or unilateral authority is disclosed for Geoff, so that firm range should be treated as routing context rather than his individual ticket.

Geoff brings mechanism design, computational finance and systems engineering to frontier-technology investing. His work on ad auctions, algorithmic trading, rates derivatives and the SCION internet architecture creates a lens for markets where incentives, network structure and technical reliability interact. His attributed stablecoin dashboard emphasizes actual usage—wallets, flows, chains and issuer competition—rather than supply headlines alone.

Maven 11 Capital

Check: 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.