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  1. Home
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  3. /Rocky Zhou
  4. /Briefing
Pre-Pitch Briefing

Rocky Zhou

Investment Manager at LongHash Ventures

Check size: No Rocky-specific or current LongHash check range is published on the firm's live site. Accelerator cohort funding, total capital raised by alumni and portfolio round sizes are not equivalent to an investor check. Confirm fund, instrument, ownership and follow-on capacity directly.

Pre-seedSeedSeries AWeb3Digital AssetsAIRoboticsBlockchain Infrastructure

Their Thesis

Rocky invests within LongHash Ventures' frontier-technology mandate at the convergence of AI, robotics and digital assets. The firm's portfolio and accelerator history emphasize early protocols and applications across infrastructure, DeFi, identity, data, social, gaming and middleware, with hands-on ecosystem bootstrapping, product definition, tokenomics, governance and community development.

How to Pitch Them

State whether the request is for the venture fund or a LongHashX ecosystem program. Lead with the user problem, why AI/robotics/digital assets are necessary, working product, technical architecture, adoption, developer and community signals, token and governance design, ecosystem choice, stage and round. Explain why LongHash's Asia network and hands-on accelerator model are relevant.

What Excites Them

Early technical founders at a frontier intersection, a clear problem that immediately resonates with users, protocol or product differentiation, credible ecosystem fit, thoughtful token and governance design, developer or community momentum, readiness for intensive venture-building support and globally ambitious teams that benefit from LongHash's Asia network.

What They Pass On

Rocky has not published personal pass criteria. The firm's live positioning implies weak fit for projects outside AI, robotics or digital assets; generic protocols without a clear user problem; token models without sustainable utility; ecosystem applications with no developer or community path; and founders seeking passive capital rather than structured early support. These are firm-level inferences.

Key Frameworks

Frontier-convergence test

Explain the specific new capability created where AI, robotics or digital assets intersect rather than merely attaching multiple trend labels.

Immediate-problem test

Identify a problem that target users recognize immediately and demonstrate how the product resolves it with materially better economics or experience.

Ecosystem-bootstrap map

Plan developer acquisition, grants, integrations, tokenomics, governance, community and liquidity as an integrated early network-building system.

Program-versus-fund boundary

Clarify whether the founder seeks accelerator participation, ecosystem support or a venture investment before discussing capital or terms.

← Full profileLongHash Ventures website