Bullrun Bunker Interview with Felix Xu: Privacy Is the Last Frontier of Crypto — And the Institutions Are Starting to Notice

What does a Singapore-based crypto founder who's been in the space since 2018 see coming for privacy, DeFi, and the intersection of AI and blockchain?

In this Bullrun Bunker interview, Jordan sits down with Felix Xu — founder of ARPA Network and Bella Protocol — for a wide-ranging conversation that goes well beyond surface-level market talk.

From the growing institutional demand for privacy-preserving infrastructure, to the rise of on-chain dark pools, verifiable randomness, and AI agents executing trades autonomously, Felix offers a grounded, builder's perspective on where crypto is actually heading — and why privacy tech may be one of the few narratives that holds across every market cycle.

If you're thinking seriously about where to position over the next five years, this one's worth your full attention.

This session was recorded on March 17, 2026.

🧠 Key Takeaways & Summary

1. Privacy Is a Narrative That Can't Be Proved Wrong
Felix made a point that cuts through a lot of the cycle noise: unlike gaming tokens or metaverse plays that have largely been discredited, privacy tech is built on the bedrock of cryptography. It's not a speculative narrative — it's a fundamental technological need. His view is that privacy-related assets will likely hold better than most altcoins during drawdowns, potentially performing closer to Bitcoin on a max-drawdown basis.

2. Institutional Adoption Is the Catalyst — But Privacy Comes in the Next Wave
The current cycle is about tokenization and getting institutions comfortable trading on-chain. Felix sees this as Phase 1. Phase 2 — which he places roughly 5–10 years out — is when privacy-preserving DeFi becomes essential infrastructure. As more institutional capital moves on-chain, the pain point of publicly visible liquidation prices and positions becomes impossible to ignore.

3. Dark Pools Are the Killer App for Privacy on DeFi
One of the most concrete use cases Felix highlighted was on-chain dark pools — decentralized auction mechanisms where the intermediary can't see trade prices. This is already a staple of TradFi for large wholesale traders and OTC desks. Building a truly decentralized version of this is, in his words, "something interesting" he's personally exploring. No timeline given, but the direction is clear.

4. ARPA Is Solving Verifiable Randomness at Scale
ARPA's current production use case is generating verifiable on-chain randomness through threshold signature schemes, built in collaboration with EigenLayer. This randomness is live across Ethereum, Binance Smart Chain, Optimism, Arbitrum, and others — powering prediction markets, on-chain gaming, and lotteries. It's a quieter infrastructure play, but one with real adoption already happening.

5. Hyperliquid Is the Most Underestimated Development of This Cycle
When asked what the market is most underestimating, Felix didn't hesitate: Hyperliquid. A DEX with open interest that competes with centralized exchanges that have hundreds of millions of users — built by a small team, with a genuine airdrop to early users. He sees it as still somewhat overlooked and believes it has a real shot at taking on larger competitors over the next five years.

6. AI Agents Will Trade On-Chain — Sooner Than You Think
Felix sees AI agents becoming meaningful on-chain traders within the next six months. The thesis: AI agents can aggregate data from exchanges, DeFi protocols, and external sources like Bloomberg, then execute trades autonomously via wallet integrations. He believes they'll discover and act on pockets of on-chain liquidity that human traders simply miss.

7. Privacy and Auditability Are Not Mutually Exclusive
A nuanced point that often gets lost in the privacy debate: Felix argues that the best privacy protocols will be both private to the public and auditable by authorized parties (regulators, governments). This opt-in auditability model is what he sees as the path to institutional and regulatory acceptance — and it's already baked into how ARPA approaches its computation network.

8. The Crowdsourced GPU Narrative Has Been Proved Wrong
Felix was candid here. A few years ago, there was real excitement around using decentralized compute networks to power AI inference. He now believes that narrative has been disproved — the demand for real-time efficiency and the sheer scale of compute required means centralized data centers will dominate AI infrastructure. Gigawatt-scale facilities are being built, and the crowdsourced GPU model simply can't compete at that level.

9. Everything Will Eventually Be Tokenized and Traded On-Chain
This was a recurring theme throughout the conversation. Felix sees a future where every asset class — stocks, fixed income, real-world assets, even personal data — is tokenized and tradeable on-chain. NASDAQ, ICE (parent of NYSE), and other major exchanges are already actively pushing for securities tokenization. The infrastructure is being built now.

10. The Regulatory Landscape Is Opening Up — But Privacy Coins Still Face Headwinds
With the Genius Act, the Clarity Act, and MiCA in the EU, the regulatory environment is becoming clearer. Felix noted that Singapore has been proactive. For ARPA specifically, the verifiable and auditable nature of their computation means they're well-positioned. For pure privacy coins, challenges remain — but Felix's view is that demand will persist regardless, because privacy is a fundamental human desire.

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