Inside Apollo Crypto: Why Buybacks, Hyperliquid, and On-Chain Risk Management Are Rewriting Crypto

Intent Over Execution: How Haiku is Rebuilding DeFi Trading for Institutions

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How Turtle Club Is Rebuilding DeFi Liquidity Distribution

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Why Asia's Crypto Builders Are Winning And the West Is Hibernating

In this episode of GigaBrain Podcast, host Joao Simoes sits down with Rachel Cheung, Head of Communications at Foresight Ventures, a $400M+ crypto-native fund backed by exchange giant Bitget, to explore how institutional capital, regulatory clarity, and security imperatives are reshaping the investment thesis for next-generation crypto infrastructure, from stablecoins and payments to AI agents and on-chain derivatives. What You'll Learn: - How to position your startup for institutional adoption - Why regulatory frameworks are now competitive moats, not obstacles - The bridge thesis differentiating Eastern and Western markets - How security and quantum resistance will become foundational investment criteria - The strategic advantage of owning media assets within your VC portfolio - Why "don't die" beats "10x the token" in today's market Rachel Cheung is Head of Communications at Foresight Ventures, a $400M+ crypto-native venture fund backed by Bitget that invests across infrastructure, applications, and on-chain economy innovations. With a background spanning traditional finance communications, exchange operations at Huobi, and GameFi during the Solana boom, Rachel brings a nuanced perspective on crypto market cycles and regulatory evolution. At Foresight Ventures, she leverages the fund's unique East-West bridge positioning and portfolio of leading crypto media assets, including Foresight News, CoinDesk Korea, and Block Temple, to identify investment opportunities in RWAs, payments, stablecoins, and emerging security narratives. In this episode, Rachel shares critical due diligence frameworks, institutional investment trends, and strategic advice for founders launching projects in a heavily regulated, security-focused market. Her insights on navigating geopolitical market dynamics, regulatory moats, and the shift from retail narratives to institutional-grade infrastructure make this conversation essential for serious builders and crypto investors seeking to understand the VC perspective on crypto's next chapter. GigaBrain is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client]

Decoding Hyperliquid: Inside the Binary with Androo from HypurrFi

Androo Lloyd, co-founder and CEO of HypurrFi, joins Open Interest to pull back the curtain on one of DeFi's most ambitious projects: reverse engineering the closed-source Hyperliquid binary. Andrew explains why HypurrFi — a protocol built natively on Hyperliquid's EVM — chose to decode the binary using AI-driven agent orchestration, treating it as a competitive edge in a market where institutional trading firms have almost certainly done the same, just quietly. The conversation covers Hyperliquid's architectural design as a "consensus of multiple ledgers," the role of AI in accelerating reverse engineering from months to overnight CPU tasks, and what the binary reveals about Hyperliquid's future: HIP-4 binary options, permission spot markets, and TradFi integration. Androo also shares his bull case for Hyperliquid as the internet of money — eventually rivalling CME, entering insurance markets, and becoming the infrastructure layer that makes the EVM relevant for the next decade. Key Takeaways  * The binary is the roadmap. Hyperliquid ships features into the binary weeks or months before any public announcement — reverse engineering it is the earliest possible signal for what's coming to the protocol. * AI has democratised binary analysis. What once took teams months of man-hours can now be offloaded to LLM-driven agent orchestration running overnight, making this kind of reverse engineering accessible to anyone with the intent. * HIP-4 is a bigger unlock than people realise. Multi-outcome markets will allow traders to hedge perp positions against macro events (elections, geopolitical shocks) — something hedge funds do institutionally but retail has never had on-chain. * Hyperliquid's moat is execution speed, not liquidity. Androo argues Jeff's pace of shipping is the primary moat, with liquidity as the secondary buffer and user loyalty as tertiary — and Jeff is a once-in-a-generation founder. * Closed source is temporary, multi-client is the endgame. Comments inside the binary itself reference a "reference implementation," strongly hinting Hyperliquid intends to eventually support multiple competing clients — much like Ethereum's consensus layer today. GigaBrain is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client]

How HyperSurface Solved DeFi's Chicken-and-Egg Problem—Making Users Profitable by Default

What if you could earn institutional-grade yield on your crypto holdings without trusting centralized intermediaries? In this episode, host Joao Simoes sits down with Andrei Anisimov and Monica from HyperSurface to explore how on-chain covered calls and cash-secured puts are bringing sophisticated TradFi strategies to DeFi, why this market waited until now to emerge, and the real usage metrics proving users are actually profitable. Whether you're a Bitcoin and Ethereum holder seeking yield or a developer building the next generation of DeFi primitives, this conversation unpacks the strategies that turn passive assets into active income streams, plus insights into security, market cycles, and why Hyperliquid is the only infrastructure that makes this possible. What You'll Learn: - How to generate yield on idle crypto assets - Why covered calls outperform limit orders as a market entry strategy - The chicken-and-egg problem that delayed DeFi options adoption - How to evaluate real usage versus airdrop farming in DeFi protocols - Why HyperLiquid's CoreReader/CoreWriter integration is a game-changer for DeFi derivatives - The progressive decentralization framework for building secure DeFi systems Andrei Anisimov is Co-Founder of Hyper Surface, a DeFi structured products platform bringing institutional-grade yield strategies on-chain. With a background spanning enterprise software engineering and three years at a hedge fund mastering derivatives and structured products, Andrei combines deep technical expertise with institutional finance acumen. His experience at Coinbase custody and early recognition of Ethereum's transformative potential positioned him to pioneer non-custodial options infrastructure on Hyper Liquid. In this episode, Andrei explores how covered calls and cash-secured puts democratize sophisticated yield strategies previously available only to institutional investors, offering DeFi builders invaluable lessons on bridging market gaps and solving the chicken-and-egg problem of liquidity provision. Monica Quaintance is Co-Founder of Hyper Surface and a seasoned DeFi architect with a foundation in statistics, economics, and software engineering. Having spent three years building consensus mechanisms at Kadena alongside JPMorgan's blockchain research team, Monica brings rigorous technical depth to protocol design. Her transition into DeFi during the 2020 summer positioned her to recognize market demand for accessible yield products, driving Hyper Surface's strategic pivot toward user-centric options trading. In this episode, Monica shares critical insights on identifying real market demand versus hype-driven development, demonstrating how relentless user focus and market validation transform speculative ideas into sticky, profitable products for the DeFi ecosystem. GigaBrain is handcrafted by our friends over at: fame.so [https://www.fame.so/?utm_medium=podcast&utm_source=bcast&utm_campaign=masters-of-community-with-david-spinks?utm_medium=podcast&utm_source=bcast&utm_campaign=fame-client]