Key Takeaways

• Rodrigo Silva started his legal career as an M&A and capital markets lawyer with a Latin America focused practice before getting pulled into crypto during the 2017 ICO boom.
• He left a large law firm to join DLx Law, one of the first crypto focused boutique firms, co-founded by Lewis Cohen.
• Rodrigo later worked in house at Paradigm, where he did deal work and policy work during the period of SEC enforcement actions following the collapses of Terra Luna and FTX.
• He describes his current approach to regulatory risk as translating the risk tradeoffs of different product and structuring choices so founders can make business decisions, rather than simply minimizing risk.
• The SEC's new innovation exemption creates a limited sandbox allowing tokenized securities to trade on AMMs under specific guardrails without the venue being deemed an exchange.
• Rodrigo says the Clarity bill's chances of passing are dim for now after it failed to advance in the Senate, which has pushed the SEC and CFTC toward more aggressive rulemaking instead of legislation.
• He points to Kraken and Coinbase both announcing single stock perpetual futures products as a sign that security perps are arriving in the US faster than he expected a few months ago.
• Rodrigo argues that the best way for the crypto industry to protect its regulatory gains against a future shift in political power is broader consumer adoption and deeper integration into financial infrastructure.

Rodrigo's story stuck with me because it's a case of someone betting on an unproven technology inside a profession built to avoid exactly that kind of risk. His account of running a Gary Gensler parody Twitter account at Paradigm and later meeting SEC staff in person says a lot about how fast the regulatory mood around crypto can actually shift.

Connect with Rodrigo Silva: https://www.linkedin.com/in/rodrigo-seira/
Connect with Desmond Fleming: https://www.linkedin.com/in/desmond-fleming-b84042100/

00:00 How Rodrigo got into crypto law
02:11 Joining DLx Law and following curiosity
03:08 First exposure to crypto and his grandfather's story
07:05 What he has learned about value creation in crypto
09:00 Risk minimization versus risk translation
14:09 The current regulatory environment under Trump
16:08 Technological Revolutions and Financial Capital
19:01 How the rulemaking process actually works
22:20 The SEC's new AMM innovation exemption
26:57 Why Citadel is pushing back on the exemption
28:28 Perps, leverage, and the Dodd-Frank legacy
33:09 How regulators actually think about risk
38:03 What happens to crypto policy if power shifts
41:09 Does Rodrigo actually use crypto rails
49:41 What would get consumers to switch to on-chain yield
50:12 The sectors getting the most attention right now
55:03 Advice for building a career at this intersection

We get into why Connor thinks stablecoins unlock credit as the natural next step after payments, how Valinor partners with infrastructure providers rather than building everything itself, what "open credit" means as a successor to bank-originated and then private credit, and how new tools called vaults could let fund managers offer far more customized products than traditional fund structures allow. Connor also talks about the difference between opportunistic distress investing and the thematic, growth-oriented origination Valinor practices today, how the firm uses AI on the pre-trade side of underwriting, and what he's learned managing people and communication as a first time founder.

Key Takeaways

• Connor Dougherty says the stablecoin market has grown from 0 to 300 billion dollars in circulation over about ten years, and his house view is that it will grow another 10x from today.
• Valinor acts as a direct lender to stablecoin native and stablecoin friendly borrowers, including portfolio company Rain, providing instant settlement, programmability and transparency that traditional financing cannot match.
• Connor describes Valinor's underwriting discipline, structuring deals so the firm could be multiple standard deviations off on its assumptions and still not lose money, a mindset he traces to his time on Blackstone's distress desk.
• Valinor focuses on shorter duration, asset backed credit such as receivables, where API integrations allow daily draws and real time covenant and compliance checks instead of delayed, manual reviews.
• Connor explains vaults as an ERC standard smart contract where investors deposit stablecoins and receive a receipt token, with a curator investing the capital on their behalf, functioning like a transparent, easier to launch fund.
• Connor says Valinor has built an internal "investor OS" with a director of automation rather than relying on off the shelf AI tools, because the firm's underwriting does not map well to commodity private credit workflows.
• Connor's main lesson as a first time founder has been investing in people, clarity of goals, and a consistent cadence of communication, including daily full team meetings and Friday office hours.
• Connor says his biggest takeaway from rowing in college was the value of shared team success, which he now tries to recreate at Valinor.

Connor closed by saying he has never once looked back on the decision to start Valinor, even measured against staying on the partner track at Blackstone, and that the real risk was in not making the leap. That framing, treating the decision to found the company as something that would never stop nagging at him otherwise, is worth sitting with if you are on the fence yourself.

Connect with Connor Dougherty: https://www.linkedin.com/in/connordougherty-valinor/
Connect with Desmond Fleming: https://www.linkedin.com/in/desmond-fleming-b84042100/

00:00 How stablecoins are unlocking credit
04:00 Who Valinor actually serves
09:05 Building a modern credit institution
11:13 Where AI fits into underwriting
14:20 The assets Valinor lends against
19:08 Lessons from Blackstone's distress desk
23:46 What open credit means
28:22 Vaults and the future of fund management
33:26 Lessons from being a first time founder
36:30 What rowing taught him about team success
40:04 His advice on taking the leap

Key Takeaways:

• Why Bridgewater's radical transparency and quantitative feedback created an unmatched training ground for market thinking
• How spending years in Washington analyzing Fed communications built Jake's intuition for parsing unstructured data
• The fundamental infrastructure problems preventing wealth advisors from accessing top-tier private market managers
• Why custom fund structures and semi-liquid vehicles are superior to one-size-fits-all offerings for RIAs
• How AI is transforming private market due diligence from a weeks-long process to hours

What struck me most about Jake is his ability to zoom out from tactical problems to systemic opportunities. The vision isn't just to make private markets slightly more accessible - it's to build the infrastructure layer that makes these markets actually work for millions of investors who've been shut out. That's the kind of ambitious, patient thinking that builds generational companies in fintech.

Key Takeaways: 

• The transition from traditional finance careers to tech entrepreneurship requires complete commitment and "burning the boats"
• Pre-AI fintech models faced significant limitations in moving upmarket due to third-party API dependencies
• AI-first financial platforms can now serve enterprise clients with sophisticated analytics previously requiring large teams
• Model-agnostic AI strategies allow companies to optimize performance across different providers
• The current environment presents unprecedented opportunities for entrepreneurs in financial technology

Don's story illustrates how new York venture firms and early-stage venture capital professionals are increasingly recognizing the potential of AI-native financial platforms. His experience building both traditional fintech infrastructure and AI-powered solutions provides unique insights into the evolution of financial technology and its impact on investment decision-making.

Key Takeaways:

• How growing up in the Midwest shaped Mitchell's competitive drive and approach to entrepreneurship
• The importance of understanding both technical implementation and business context when building enterprise software
• Why developer experience matters as much as end-user experience in enterprise software VC investments
• How AI tools are fundamentally changing engineering evaluation and systems architecture
• The value of building context-aware systems that integrate company knowledge with LLMs
• Why founders need to embrace struggle as part of the journey to building something meaningful

Mitchell's perspective on entrepreneurship centers on consistent progress over dramatic moments. He emphasizes that greatness comes from the daily commitment to building when no one else is watching, not from press releases or product launches. His approach to both company building and venture investing reflects a deep understanding that sustainable success requires technical excellence, clear communication, and an unwavering commitment to solving real problems for customers.

Key Takeaways:

• Financial services innovation requires understanding incentives and ecosystem dynamics, not just building better technology
• Finding excellent talent is the hardest operational challenge for early-stage founders
• Product-market fit often starts with underserved customers before expanding to mainstream markets
• Customer support quality creates lasting goodwill and competitive differentiation
• The day-to-day reality of entrepreneurship involves endurance through mundane challenges alongside strategic work

Ben's candid perspective on founder life—from answering password reset tickets at 8 AM to the satisfaction of solving real customer problems—offers a refreshingly honest look at what it means to build a fintech venture investors company. His experience navigating the complex world of payments, banking relationships, and regulatory requirements provides valuable lessons for anyone considering the entrepreneurial path in financial services.

Key Takeaways:

• The determinism imperative: In private equity, where single investments can make or break a fund's returns, non-deterministic AI outputs are unacceptable—investors need to understand exactly how every number was calculated
• Excel's limitations exposed: PE firms routinely handle data files with millions of rows that Excel literally cannot open, creating a massive bottleneck in the due diligence process
• The $50 billion opportunity: Due diligence spending in private equity exceeds $50 billion annually, representing a massive market for workflow transformation
• Start with the problem: Rohan's advice to first-time founders is to focus on solving a specific problem rather than starting with a technology and looking for applications
• Building for the long game: Keye isn't trying to be "AI for finance"—they're laser-focused on owning the entire private equity workflow from sourcing to portfolio management

What strikes me most about Rohan is his clarity of vision. While the entire world is rushing to slap AI onto everything, he's building with the discipline of someone who understands that in private equity, being 95% accurate isn't good enough—you need 100%. That constraint has forced Keye to think differently about how they architect their system, combining deterministic computation with AI to deliver both accuracy and insight. It's a masterclass in understanding your customer's actual needs rather than what you think they need.

Key Takeaways:

• Private markets are 30-50 years behind public markets in terms of user experience and automation
• It takes 5,500 clicks to manage a single private market investment - Arch has automated 84% of those clicks
• 44% of Arch's clients come through referrals, showing strong product-market fit in the tight-knit financial services industry
• The wealth management world needs better experiences as more retail investors seek access to private markets
• Building in fintech infrastructure requires extreme patience and long-term relationship building

Ryan's journey from consultant to CEO offers valuable insights into building B2B fintech infrastructure, selling to family offices, and the unique challenges of serving the private markets ecosystem. His vision for making private markets more accessible while maintaining their unique value proposition provides a compelling look at the future of alternative investments.

Key Takeaways:

• AI is transforming traditional diligence workflows by enabling rapid analysis of unstructured documents in virtual data rooms
• The evolution from manual document review to AI-augmented analysis represents a fundamental shift in how private markets firms operate
• Building AI applications requires constant adaptation to changing model capabilities and non-deterministic outcomes
• Every professional role will soon require AI literacy and daily experimentation with these tools

ToltIQ's platform demonstrates how data-driven venture capital firms can maintain competitive advantages while dramatically improving efficiency. As Brandman notes, the models we have today represent the "dumbest" they'll ever be, making early adoption and experimentation critical for future success.

Key Takeaways:

• Build organic growth channels before investing in paid acquisition
• Focus on solving problems for your entire customer base, not just subsets
• Community building and genuine value-add relationships drive sustainable growth
• The importance of failing fast and learning from every setback

Cyrus's approach to building Haven reflects lessons learned from three different startup experiences, emphasizing the power of authentic relationships and solving real pain points for entrepreneurs. His 500-person WhatsApp group of founders and VCs demonstrates how genuine community building can become a competitive advantage in B2B startup investors markets.

Key Takeaways:

• Centralized exchanges operate more like traditional banks than decentralized platforms, creating significant overhead costs
• New technologies like account abstraction are finally making self-custodial platforms viable for mainstream users
• The mobile crypto trading experience remains underserved, particularly for advanced traders
• Building in crypto requires a product-first approach rather than starting with marketing and tokens

Bradford's vision extends beyond just replacing centralized exchanges - he sees Dexari as part of a broader convergence between traditional fintech and crypto, where self-custodial solutions become the dominant model for digital asset management.

The conversation explores Abdul's philosophy that "saving is a scam" for average earners and how his company enables working-class Americans to access leveraged investing typically reserved for the wealthy. He discusses partnering with PE roll-ups and small businesses like Service Professionals, an HVAC company in New Jersey, to provide employees with advanced retirement investing tools. Abdul also shares insights on entrepreneurship, the difference between high achievers and entrepreneurs, and his vision for preventing American society from "crumbling from within" due to wealth inequality.

Key Takeaways:

• Traditional saving favors the wealthy due to higher saving rates and lower cost-of-living ratios
• Basic Capital targets B2B markets, specifically PE roll-ups acquiring small businesses
• The company focuses on enabling asset ownership rather than just access to investing
• Entrepreneurship requires tolerance for uncertainty and long feedback loops unlike traditional high-achievement careers

Abdul Al-Assad is building Basic Capital to democratize wealth creation by giving working Americans the same tools wealthy individuals use to build generational wealth - access to leveraged, diversified, cash-generating assets through their workplace retirement plans.

Key Takeaways

• Finding the right co-founder matters more than any other decision - work with someone you genuinely enjoy spending time with
• Investment firms manage billions but buy technology like small businesses - expect long sales cycles and limited tech resources
• Speed beats perfection in financial data - analysts need usable data in minutes, not perfect data in days
• AI won't replace investors, but will help firms encode their investment DNA and make faster decisions
• The career risk of starting a company is lower than most think - the tech ecosystem highly values founder experience

The conversation reveals how deep domain expertise combined with technical innovation can address longstanding inefficiencies in financial markets. The founders emphasize that while AI can accelerate analysis and pattern matching, the craft of investing—sourcing deals, building relationships, and making judgment calls—remains irreplaceably human. Their story demonstrates that successful fintech ventures require not just understanding the technology, but deeply understanding how investment professionals actually work and what their institutions truly need.

Key Takeaways:

• AI startup funding has enabled 95% automated credit agreement processing, dramatically reducing implementation costs
• Modern capital markets require dynamic, configurable systems rather than rigid workflow software
• The "miracle" moments in startups often come from unexpected customers - Ramp became their ideal first client despite being ranked last initially
• B2B startup investors must understand that feedback becomes less honest as companies gain traction, making early customer rejections more valuable
• Building in capital markets requires choosing specific counterparties to serve rather than trying to be everything to everyone

Tsui emphasizes that successful founders need competitive drive over financial optimization, as most startups fail regardless of economic rationality. His advice centers on betting on yourself, maintaining high standards, and recognizing that founders have more control over outcomes than they typically realize.

Key Takeaways:

• The fixed income market ($8.3T issuance) is 60x larger than equity markets but remains largely inaccessible to retail investors
• Three key catalysts enabled OpenYield: return of meaningful interest rates, improved market maker algorithms, and new fintech infrastructure
• Investment grade bonds offer equity-like returns (6-8%) with significantly lower risk due to capital structure seniority
• Bond markets remain fragmented and voice-driven, creating opportunities for electronic marketplace disruption
• Cold outreach and maximizing surface area remain critical for early-stage founder success

Jonathan's story illustrates how deep domain expertise combined with technological innovation can disrupt massive, traditional markets. OpenYield represents the evolution of fixed income trading from relationship-driven, voice-based systems to transparent, electronic marketplaces that benefit all participants through better pricing and accessibility.