
Where Is The Crypto Alpha Hiding This Cycle?
The panel discussion with crypto allocators Arthur (Defiance Capital), Rajiv (Framework Ventures), and Smac (Compound) explores where alpha is hiding in this early, cautiously optimistic bull market. The key takeaway: The market has matured, become more dispersed, and is far more interesting for active managers.
AI & Crypto: From Hype to Real Use Cases- After many forced AI-crypto narratives in the past, the panel now sees real use cases, e.g. Hermes, an open-source AI agent framework by Nous Research, or Venice AI, a privacy-focused crypto alternative to Open Router.
- Privacy and permissionlessness are core differentiators: Crypto-AI projects enable encryption and data protection by default – unlike centralized frontier labs.
- Financing AI infrastructure is another compelling niche, e.g. GPU cluster financing through projects like USD AI.
- Whether crypto will truly become the settlement layer for AI agents remains an open question. Interesting angles include decentralized ledgers for agent communication, machine-to-machine payments, and the idea that rogue AI agents would rather use permissionless systems.
- Successful crypto funds often run a barbell strategy: illiquid venture investments plus liquid token positions.
- When building liquid positions, investors should budget for 5–10% variance in entry price and use high volatility as an opportunity.
- Due to higher market dispersion, good ideas become crowded quickly – timing and patience matter more.
- The current phase is described as a golden era for active managers: Many liquid crypto funds are outperforming Bitcoin and ETH by selectively investing in quality mid-caps like Hyperliquid, while retail often chases memecoins.
- The panel also sees a golden era for long/short strategies: Profits can be made on both sides, as weak projects structurally keep declining.
- Despite growing dispersion, Bitcoin stays the key benchmark – also because LPs still view the space as one asset class. Absolute returns and BTC outperformance are what matter most.
- ETFs like IBIT set a baseline expectation: An active fund must beat that comparison over time.
- Seed and pre-seed investments still offer the best chance of 50x returns within 1–2 years, even though the number of high-quality founders has shrunk.
- Growth-stage deals are highly crowded, as there are only a few late-stage rounds. At the same time, many growth companies now show more durable traction.
- AI reduces capital intensity: Teams need fewer employees and spend more on compute/API credits. This makes startups more scalable – even billion-dollar companies with solo founders seem possible.
Conclusion: Alpha no longer comes from broad market exposure, but from selective, fundamentally driven positions at the intersection of AI, privacy, and decentralized infrastructure. Discipline in position sizing, a long-term mindset, and the willingness to look beyond Bitcoin benchmarks are crucial.






