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Kendrick Nguyen, co-founder of Republic, discusses his journey from securities lawyer to launching Republic, an investment platform with 700,000 community members. Initially focused on traditional equity, Republic now incorporates blockchain through offerings like the Republic Note token, which combines Reg D and Reg A regulations. Nguyen explains the three main ways non-accredited investors can acquire private securities: IPOs, Regulation CF (crowdfunding), and Regulation A, which allows raising up to $50 million. He emphasizes the importance of everyday investors in driving industry adoption, noting that 95% of Americans are non-accredited. Republic has raised over $150 million since inception, with significant growth in the past 18 months. Nguyen believes the future of digital securities lies in relatable assets and community engagement, predicting a renaissance in the next 12-24 months. He highlights the potential for tokenization to democratize access to investments and improve global financial participation, while acknowledging regulatory challenges that may arise.

The episode centers on how expanding market infrastructure, digital tokenization, and persistent trading hours could reshape macro conditions. The guests argue that major investment needs tied to next-generation computing and global infrastructure increase demand for liquidity and dollars, while the same process expands the number of tradable markets. They describe tokenization as a foundational change that enables 24/7 market creation, real-time settlement, and broader participation, which they say will intensify volatility during periods of thin liquidity and faster emotion-driven price movement. They note that, despite multiple catalysts for fear and market gyrations, broader markets have remained elevated and cash in money market accounts has surged, creating an unusual backdrop for risk-taking and positioning. They also discuss how crypto is positioned within this environment, linking it to liquidity and tokenized asset plumbing. The conversation extends to whether agentic trading and AI-driven market activity will increase, and how governance and trust frameworks may respond as smart contracts and tokenized systems take on more market functions. A practical theme emerges around using automated tools to manage volatility across many opportunities rather than relying on manual timing. The guests further connect tokenization to changes in banking and lending, including holding assets as collateral, borrowing against them through smart contracts, and enabling frictionless exchange of value for goods and services. They consider fractional access to assets, competition among tokenized trading platforms, and the possibility that prediction markets could accelerate similar tokenized, 24/7 trading behavior. Finally, they outline downsides they expect to accompany easy access, while emphasizing the need for education about risk-reward and long-term wealth formation.

Jordi Visser discusses the potential for a short squeeze in Bitcoin, predicting a painful move for many investors as prices could rise significantly. The conversation covers geopolitical tensions, particularly between Israel and Iran, and their immediate market impacts, noting that conflicts typically have short-lived effects on the economy. Visser emphasizes the importance of focusing on energy and power needs, especially in relation to AI demand, and mentions Brazil as a beneficial investment due to its mineral resources. He highlights Oracle's strong earnings and insatiable demand for AI, suggesting that the market has not fully accounted for the energy supply challenges ahead. The discussion also touches on the US-China trade relationship, inflation data, and the potential for rate cuts. Visser expresses concern over the lack of market worry, indicating that sentiment could pose risks. He concludes by reiterating the likelihood of a Bitcoin short squeeze this year, driven by reduced volatility and market dynamics.

My rule is if you haven't grown because of AI, you failed. The amount of money we're investing in AI right now at 300 to 400 billion dollars a year in capex, will you get the near end ROI? Will it be an economically rational decision when you look back 2-3 years from now? I don't know. I think venture is just going to rip. Oracle can get AI native by June 30th and your portfolio startup can't, I mean, I will smile, but I would give up. Figma filed for their S1 last night. Numbers were pretty phenomenal. You have 821 million in revenue, 46% up year-on-year growth. You have a billion five in cash, no debt. There's a lot to like about this. And I wanted to hear thoughts on where it will go out at and how you analyze this S1 dropping. There was a lot to like, including profitability and free cash flow margins last quarter around 40% plus, with free cash flow positive and 46% growth. The company appears to be tracking a billion in revenue at rule of 80 plus, suggesting a strong reception. Debates form around valuation, with mention of a potential 20x multiple on current revenue and strategic implications for an Adobe-style acquisition, highlighting that Adobe buying could have been a central plank and that the deal would hinge on synergies and timing. The discussion notes Adobe’s bigger platform and the market expansion that Figma represented, and contemplates whether the price would reflect future growth versus cash exit options for founders and investors. Jason and Rory dissect venture-capital dynamics around mergers, reserves, and governance, noting the tension between financial discipline and the need to back the fastest-growing wins. They discuss the risk of orphaned portfolio companies when partners depart and urge the inclusion of independent board voices or reserve-committee processes to avoid biased outcomes. Pay-to-play is labeled risky, with anecdotes about down rounds and the FedEx example illustrating how some participants can benefit while others lose. They emphasize that LPs understand the math and that capital should flow to the strongest performers to maximize fund returns, even as time and capital constraints complicate decisions.

In this interview, Sam Cassatt discusses his journey from computer science to the cryptocurrency space, particularly his role at ConsenSys, where he helped build the Ethereum ecosystem. He emphasizes the differences between Bitcoin and Ethereum, noting that Bitcoin is viewed as "digital gold" with a focus on security, while Ethereum serves as a programmatic substrate for a new economy, enabling various financial applications. Cassatt highlights the rise of DeFi, describing it as a mix of innovation and speculation, with projects like Yearn Finance introducing liquidity mining to bootstrap protocols. He acknowledges the presence of scams in the DeFi space but believes that significant value is also being created. Cassatt discusses the challenges of distinguishing legitimate projects from scams and the importance of community and liquidity in the success of smart contract platforms. He expresses optimism about institutional adoption of Ethereum and DeFi, suggesting that as the regulatory landscape evolves, more institutions will engage with these technologies. Finally, he shares insights on the future of finance and the potential for decentralized systems to replace traditional trust infrastructures.