GigaBrain

GigaBrain is handcrafted by our friends over at: fame.so 

GigaBrain is handcrafted by our friends over at: fame.so 

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.
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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.

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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.

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Pratik Kala, Head of Research and Portfolio Manager at Apollo Crypto, joins the pod to break down what's really moving markets. From the Iran-US ceasefire volatility and oil's structural shift, to why Hyperliquid's 99% buyback model is the most credible thing to happen to crypto tokenomics in years. Pratik unpacks Apollo's thesis on HYPE, their battle-tested approach to on-chain market-neutral risk management, and why RWAs need Wall Street pedigree — not just crypto-native optimism. A masterclass in institutional crypto thinking.
Key Takeaways

• Hyperliquid's success is trust-driven: The 99% revenue buyback model solved crypto's biggest problem — token holders finally have a transparent, verifiable claim on protocol revenue.
• Bitcoin is resilient: Despite relentless geopolitical bad news, BTC has held the $68K level since February, signalling the market wants to go higher once macro clears.
• On-chain risk management is a craft: Apollo has run market-neutral on-chain funds since 2021, using oracle verification, max allocation buckets, and stablecoin due diligence to avoid blowups others suffered.
• HIP3 has institutional traction: Most HIP3 volume is institutions running arb and delta-neutral strategies — retail is secondary. Transparency on contract pricing and market makers is the next unlock.
• RWAs need TradFi experience: Crypto-native teams attempting private credit without Wall Street pedigree are the biggest risk in DeFi's next chapter — institutions may be coming to take, not give.

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Jasper, Co-Founder and CTO of SEDA, joins the Open Interest podcast to break down how SEDA's bespoke Oracle infrastructure powers Dreamcash — HyperLiquid's breakout equities perp market. 
The conversation covers SEDA's origin story (plasma research → DeFi products → Oracle infrastructure), and dives deep into the technical challenge of pricing 24/7 perpetual markets against assets that don't trade around the clock. Jasper explains the four-pillar Oracle methodology: session awareness, cost-of-carry futures-to-spot conversion, self-referencing EMA pricing during closed hours, and staleness fallback. The episode also explores pre-IPO market pricing, the reflexive relationship between Oracle quality and liquidity depth, SEDA's token burn mechanics, and Jasper's long-term vision of SEDA becoming a credibly neutral truth-settlement layer for autonomous AI agents.
Key Takeaways 

• 24/7 perps need custom Oracles — vanilla price feeds from Binance or Chainlink can't handle market closures, maintenance windows, or weekend gaps; SEDA built session-aware, compute-enabled feeds specifically for this problem
• Oracle quality directly drives liquidity depth — market makers will only quote tight spreads and meaningful size when they trust the Oracle; DreamCash's success is largely a function of Oracle reliability
• The self-referencing EMA is the weekend secret weapon — when underlying markets close, SEDA anchors to the last known price and slowly drifts it based on actual order book activity, closing Friday-to-Monday gaps by ~95%
• Pre-IPO perp markets are an emerging opportunity — with major private companies (OpenAI, SpaceX, Anthropic) staying private longer, on-chain perps may become the primary venue for retail price discovery on private equity
• SEDA's long-term vision is AI agent infrastructure — verifiable Oracle programs (compiled to auditable hashes) give autonomous agents a trustless way to agree on data without trusting each other, positioning SEDA as a "truth layer" for the agentic internet

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In this episode of Open Interest, host Abishek Kannan, CEO of Liquid Labs sits down with Anton Feingold, Institutional Lead at Glassnode, and Chris Beamish, Analyst at Glassnode, to explore how on-chain Bitcoin data translates into real trading edge. The conversation covers how institutions — from macro hedge funds to high-frequency quant desks — consume Glassnode's data, demystifies core metrics like MVRV, NUPL, SOPR, and cost basis distribution, and offers a candid read on where Bitcoin sits in the current cycle. 
The pair also discuss ETF flows as a distinct data cohort, why realized price (~$54K) is the level to watch in a bear market, and how Glassnode is expanding beyond on-chain into macro, derivatives, and options data — with a glimpse at Snowflake delivery and MCP integration for AI-native trading workflows.
Key Takeaways 

• Bear market confirmed, range intact. Both guests view the market as clearly bearish. Bitcoin is range-bound roughly between $60K–$73K; neither side of that range breaking changes nothing fundamentally yet.
• Realized price (~$54K) is the line in the sand. In every prior bear market, Bitcoin has dipped below realized price — the average cost basis of all coins in existence. That level is where serious accumulators historically step in.
• Short-term holders are a counter-indicator. When STH-SOPR shows short-term holders selling in profit, it's a signal to get defensive — this cohort consistently mis-times the market.
• Michael Saylor's buys are already priced in by the time he announces. Strategy's accumulation (~6% of circulating supply) isn't large enough to structurally move the market long-term, and Coinbase premium data can tip you off in real time.
• The data delivery layer is evolving fast. Glassnode's MCP integration lets LLMs query their API directly, while Snowflake delivery gives quant funds instant, warehouse-ready access to 3,500+ metrics — a sign the industry is moving toward AI-native trading infrastructure.

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What if the future of crypto trading looked more like traditional finance but actually worked better? 

In this episode, Abishek Kannan sits down with Robert Sagurton, founder of Fogo, to explore why Solana failed as a trading L1, how purpose-built blockchains are capturing market share from centralized exchanges, and why sub-second settlement and composable ecosystems represent the next frontier for DeFi. Whether you're a trader seeking to understand the infrastructure powering the next generation of perp DEXs or a builder evaluating where to launch your next project, this conversation breaks down the latency, architecture, and validator colocation strategies that separate winners from losers and reveals why Fogo's "follow the sun" validator model could reshape how we trade across global markets. Tune in to discover how blockchains can finally compete with Wall Street on execution while winning on the pre- and post-trade advantages that only decentralization can provide.
What You'll Learn:

• Why latency parity between market participants matters more than absolute speed
• How "follow the sun" validator architecture unlocks real-world asset trading
• The settlement advantage that justifies decentralized trading over centralized exchanges
• Why composability between a unified settlement layer and purpose-built perp DEXs creates an unfair advantage
• How physical colocation in hub infrastructure democratizes access to institutional-grade trading conditions
• The case for retail traders winning when you optimize for liquidity providers first

Robert Sagurton is the founder and leader of Fogo, a purpose-built Layer 1 blockchain optimized for trading. With a distinguished background spanning traditional finance including roles in foreign exchange trading systems, prime brokerage, and exchange infrastructure at JPMorgan and crypto expertise gained through five years at Jump Trading, Sagurton brings unparalleled technical and operational depth to blockchain development. He is a key architect of Fogo's infrastructure-first approach, championing innovations such as the Hub's sub-microsecond validator colocation and FIFO ordering mechanisms that rival centralized exchanges while maintaining blockchain composability. In this episode, Sagurton articulates why purpose-built blockchains outperform generalist L1s for trading, shares the critical role of physical infrastructure in achieving trading performance, and details Fogo's vision for capturing TradFi liquidity through superior execution and settlement efficiency. His insights on pre- and post-trade advantages of decentralization, composability between trading protocols, and the strategic importance of validator proximity to price discovery venues provide actionable context for understanding next-generation DeFi infrastructure. Sagurton's work represents a paradigm shift in how blockchain developers approach trading, moving beyond code optimization to embrace the full stack of hardware, networking, and architectural design that defines institutional-grade markets.

Visit Rob Sag's own show here.

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What if the missing piece to institutional crypto adoption wasn't blockchain technology itself, but rather solving the security and governance challenges that keep traditional finance out of Web3?

In this episode of GigaBrain Podcast, host Joao Simoes sits down with Raylin Huang, Marketing Manager at CipherBC, to explore why MPC wallet architecture is revolutionizing asset security, how institutions are finally feeling comfortable moving capital on-chain, and the key strategies behind building the first military-grade hardware wallet designed for enterprise-scale operations. Whether you're evaluating custody solutions, building institutional infrastructure, or seeking to understand how real-world asset tokenization will reshape finance, this conversation delivers technical depth on governance frameworks, compliance integration, and the geopolitical factors reshaping crypto markets in 2026. Tune in to uncover how decentralized governance mechanisms are being cryptographically enforced to democratize financial decision-making.
What You'll Learn:

• How MPC (Multiparty Computation) eliminates the single point of failure
• The three-layer wallet architecture strategy
• Why the Rule-Based Approval Protocol (RFP) framework transforms corporate treasury operations
• How the principle of least privilege reinforces internal governance
• Why regulatory frameworks (MICA in Europe, emerging US/Asia policies) are accelerating institutional adoption
• The coming evolution toward decentralized on-chain governance

Raylin Huang is Marketing Manager at CipherBC, a pioneering firm building MPC-based asset operating systems for secure, scalable institutional crypto operations. With a background spanning NFT project development and blockchain marketing across multiple ecosystems, Raylin brings deep expertise in bridging traditional finance and decentralized infrastructure. In this episode, she explores how CipherBC's three-layered wallet architecture combining hot, warm, and cold wallet solutions, addresses the critical security and governance gaps that have historically prevented institutional adoption of blockchain-based real-world assets (RWAs). Her insights on Multi-Party Computation (MPC) technology, the Rule-Based Proof (RFP) framework, and decentralized governance mechanisms directly speak to DeFi builders and institutional players seeking to understand how cryptographic enforcement can enable transparent, democratized financial operations. Through her work, Raylin is helping shape the institutional-grade infrastructure that transforms blockchain from a speculative asset class into a foundational layer for global finance.

GigaBrain is handcrafted by our friends over at: fame.so