Where Is The Crypto Alpha Hiding This Cycle?
Three prominent crypto fund managers discuss emerging opportunities in AI-crypto intersections, privacy-focused assets, and sector dispersion in the current bull market. They debate fund structure choices between venture and liquid investments, benchmarking strategies, and the shift in capital allocation toward growth-stage companies with proven product-market fit.
Summary
The discussion features Arthur (Defiance Capital), Rajiv (Framework Ventures), and Smack (Compound) exploring alpha opportunities in crypto's early bull cycle. On AI-crypto convergence, they identify legitimate projects like Nous Research's Hermes framework and Venice AI that solve real problems rather than forcing crypto-AI narratives. They emphasize that crypto's advantages lie in permissionlessness, privacy-by-default encryption, and capital formation efficiency (like USD AI's GPU cluster financing) rather than competing on computational efficiency. The speakers suggest machine-to-machine transactions and distributed agent coordination represent genuine use cases where crypto's cost structure could compete with centralized systems.
Regarding fund structure, the panelists explain why successful crypto funds employ a 'barbell' approach with both venture and liquid books. They argue this structure works because: (1) positioning in illiquid assets removes day-to-day volatility pressure, (2) sizeable positions in liquid tokens can be built gradually with 5-10% price variance tolerance, and (3) it allows venture-style return expectations for both asset classes. They note that previous crypto cycles with easy money made this distinction less critical, but market maturation now rewards active management and selectivity.
On market dispersion, the speakers observe this is the first bull cycle with significant asset performance divergence rather than uniform movement. Arthur highlights that 80% of known crypto hedge funds are up significantly (20-100%), justifying expert management. Rajiv emphasizes the importance of understanding marginal buyers and timing, while Smack notes that fundamental drivers are overpowering positioning-based factors. All three agree Bitcoin remains the necessary benchmark due to LP expectations and ETF availability (iBit), though peer comparison also matters for sophisticated allocators.
For venture strategy, the panelists debate seed vs. growth stage allocation. Arthur observes extreme overlap in late-stage deals with limited supply but massive demand, while early-stage founders remain scarce due to AI talent drain. Rajiv maintains that high-quality early-stage founders haven't dramatically decreased and that companies with durable traction reduce narrative-dependent fundraising. Smack commits to pre-seed and seed focus, believing some previously 'failed' crypto sectors may work with better founders and timing. They discuss how AI tooling has reduced capital intensity—enabling smaller teams to accomplish more—shifting budget allocation from headcount toward compute and API credits rather than pure engineering hiring.
About this episode
Is crypto finally rewarding the investors who do the work? This week, we sit down with three top allocators at DAS Singapore to unpack where the real alpha lives in an early, uneven bull market. We explore where crypto x AI actually works, building size in illiquid tokens, if $HYPE stays the consensus winner, and seed vs. growth for the next cycle. Enjoy! TIMESTAMPS: 00:00 Intro 01:21 Where Is Crypto AI’s Edge? 07:10 Ads (Fidelity Crypto) 07:43 Do AI Agents Need Blockchains? 10:16 How Crypto Funds Allocate Capital 16:33 Ads (Fidelity Crypto) 17:13 Finding Alpha In A Crowded Market 23:37 Longs, Shorts, And Beating Bitcoin 26:34 Seed Or Growth: Where’s The Opportunity? FOLLOW GUESTS › Arthur Cheong – https://x.com/arthur0x › Rajiv Patel-O'Connor – https://x.com/rajivpoc › Smac – https://x.com/0xsmac FOLLOW THE SHOW › Forward Guidance – https://x.com/ForwardGuidance › Felix – https://x.com/fejau_inc › Telegram – https://t.me/+CAoZQpC-i6BjYTEx › Blockworks – https://x.com/Blockworks SPONSORS › Fidelity Crypto was built in-house with over a dozen years of crypto experience. So you can trade crypto and stocks in one place at Fidelity, backed by industry-leading security. Fidelity Crypto. We're here to help you feel good about investing in crypto. Crypto is offered by Fidelity Digital Assets, NA, is not insured by FDIC or SIPC and includes risk of significant loss. Securities offered by Fidelity Brokerage Services,LLC. Member NYSE, SIPC. http://fidelity.com/crypto RESOURCES › Learn more about Blockworks Agentic Detection: https://blockworks.com/insights/introducing-agentic-detection-asset-monitoring-built-for-the-ai-era › Start building with the Blockworks Unified API https://blockworks.com/insights/introducing-the-blockworks-unified-api EVENTS › Join us at Digital Asset Summit London Nov 10-11 https://blockworks.com/events DISCLAIMER Nothing said on Forward Guidance is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only. Any views expressed are opinions, not financial advice. Hosts and guests may hold positions in the companies, funds, or projects discussed.
Key Insights
- Legitimate AI-crypto projects now exist that solve real problems like privacy-preserving inference (Venice AI) and GPU financing (USD AI), moving beyond forced narrative-fitting that dominated 2023.
- Privacy enforcement by default in crypto AI projects represents a significant differentiator as societal concern for data ownership increases relative to centralized frontier labs.
- The barbell fund structure (venture + liquid books) succeeds because illiquid holdings eliminate day-to-day volatility pressure while allowing gradual position building in liquid tokens with 5-10% price variance tolerance.
- Market maturation in crypto now rewards sophisticated active management and selectivity, with 80% of known crypto hedge funds posting 20-100% returns, proving that expertise justifies fees versus passive Bitcoin exposure.
- Fundamental drivers are currently overpowering positioning-based factors in crypto markets, with oversold technicals failing to reverse continued declines when fundamentals remain strong.
- This represents the first bull cycle with significant sectoral dispersion rather than uniform asset movement, enabling active managers to generate alpha through selectivity rather than levered beta.
- High-quality early-stage founders remain available despite AI talent migration, though seed-stage founder quantity has declined meaningfully due to prior capital excess and market right-sizing.
- AI tooling is shifting early-stage startup budget allocation from headcount toward compute and API credits, enabling smaller teams to compound progress faster and potentially supporting solo-founder businesses in crypto similar to historical AI precedent.
Topics
Transcript
Nothing said on Ford Guidance is a recommendation to buy or sell any investments or products. All right everybody, super excited today to be joined by some of my favorite allocators in the industry here to talk a bit about where the alpha is in this cautiously optimistic but potentially early bull market that we have going on here. Yeah, why don't we go on the line here, just feel free to introduce yourself. Yeah, maybe you mentioned your style of fund and what you focus on. We'll start with you, Arthur. Yeah, I'm Arthur. I'm the founder and CEO of Defiance Capital. We are crypto liquid funds that's been investing in space since 2020. Classic liquid venture style, we…
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