Latest Interviews
Showing 571–585 of 1,635 interview transcripts.
Clear all filtersGeorge Bonaci, VP of Growth @Ramp: How Ramp Became the Fastest Growing SaaS Company Ever |E1264
George Bonaci, Harry Stebbings
George outlines a scientific approach to generating market alpha by prioritizing counter-intuitive channels and rigorous experimentation over past playbooks. He details a balanced portfolio strategy that combines high-risk "big swing" bets with incremental improvements while emphasizing organizational independence and a first-principles hiring model for early-stage growth teams. Ultimately, the framework advocates for velocity over perfection to scale winners rapidly, leveraging AI as a co-pilot for efficiency while recognizing that true differentiation requires exploring unsaturated markets.
How Kalshi Built a $2 Billion Prediction Market
Tarek Mansour, Luana Lopes Lara, Molly
Kalshi recently accelerated its growth by integrating with major brokers like Robinhood and Webull while securing strategic advisory support from Donald Trump Jr. to expand beyond its existing user base. The company leveraged its CFTC approval to scale its product offerings from 100 to 1,000 markets, incorporating sports betting and crypto indices with a goal of eventually rivaling the stock market through granular, event-specific risk pricing. Under CEO Tarek Mansour's leadership, the exchange distinguishes its model by treating natural events like elections as hedging instruments rather than gambling, aiming to cover 100% of relevant daily news through continuous regulatory innovation.
Oscar Pierre, Glovo CEO & Founder: Selling 30% for €100K |The McDonald's Deal That Saved Them |E1263
Founded by Oscar in 2015, Glovo pivoted from an errand service to a mass-market food delivery platform after securing critical funding from Rakuten's Miki Tani and surviving repeated cash crises through aggressive global expansion. The company achieved a €2.3 billion all-stock acquisition by Delivery Hero in December 2021, having reached €3 billion in revenue and finally turned profitable during its tenth year. Despite regulatory hostility in Spain and costly mistakes in markets like Brazil and Paris, Glovo established a dominant logistics network that now targets multi-category quick commerce across emerging and established economies.
Steeve Morin: Why Google Will Win the AI Arms Race & OpenAI Will Not | E1262
Speaker ZML projects a near-term market correction where 95% of AI demand shifts to inference, rendering current NVIDIA hardware inefficient due to high memory transfer costs and inflated pricing. To overcome these bottlenecks, the industry will pivot toward hardware-agnostic architectures, compute-in-memory silicon, and specialized chips designed for low-latency reasoning rather than throughput. This transition promises to dismantle NVIDIA's dominance by enabling hyperscalers like Google and emerging competitors to deploy diverse, cost-effective solutions that prioritize reliability over aggregate compute power.
Adarsh Hiremath @ Mercor: The Fastest Growing Startup in Silicon Valley | E1261
Adarsh Hiremath, Harry Stebbings
Mercor recently secured a $100 million Series B funding round led by Felicis, establishing a $2 billion valuation while reporting $50 million in ARR and 100% net retention. The San Francisco-based platform, founded by Adarsh, Surya, and Brendan, leverages an AI interviewer to manage a global labor market where human data fuels specialized model training. With a strategic focus on network effects and long-term growth over rapid liquidity, the company aims to unify talent matching across industries including software, law, and medicine.
- Dwarkesh Patel1h 17m
Satya Nadella — Microsoft’s AGI plan & quantum breakthrough
Satya Nadella outlined Microsoft's strategic convergence of AI, quantum computing, and mixed reality, defining artificial general intelligence success by a 10% global economic growth target rather than benchmark metrics. He detailed the imminent 2025 "transistor moment" for quantum hardware with the Majorana 1 chip and projected AI revenue expansion to $130 billion by 2027, while forecasting a fragmented market where enterprise demand prevents single-vendor monopolies. Emphasizing a shift from chat interfaces to managing swarms of autonomous agents, Nadella highlighted that overcoming change management bottlenecks and establishing state-level regulatory frameworks will be critical to unlocking productivity gains across healthcare, education, and material science.
- Y Combinator49 min
How AI Is Changing Enterprise
Aaron Levie, Gary, Jared, Harj, Diana, Mark Mandelmann, Mark Mirchandani, Mark Mandalini, David Eastman, Melanie Warrick
Industry leaders assert that sustainable AI startups must evolve into software companies delivering proprietary business logic rather than relying on simple model wrappers, a shift driven by the economic reality that intelligence is becoming commoditized. This transition is fueled by Jevons Paradox, which predicts that lower costs will expand the total addressable market by enabling enterprises to automate previously unaffordable workflows while shifting pricing models toward usage-based structures. Consequently, Fortune 500 organizations are rapidly adopting AI-native strategies focused on core intellectual property, leveraging agentic workflows to reinvest efficiency gains into growth rather than workforce reduction.
- Sequoia Capital1h 0m
AI, Security and the New World Order ft. Palo Alto Networks’s Nikesh Arora
Nikesh Arora, Sonya Huang, Pat Grady, Jim Goetz
Nikesh Arora outlines a shifting AI landscape where falling development costs enable specialized models while warning that premature agency requires rigorous "AI firewalls" to mitigate real-time cyber threats and hallucinations. He details Palo Alto Networks' strategy of acquiring only category leaders under strict co-authorship agreements, a tactic designed to preserve agility amidst a predicted five-year battle between autonomous agents. Additionally, Arora forecasts a regulatory bifurcation for critical infrastructure alongside a market split between enterprise-grade specialized systems and consumer-focused general-purpose AI.
Jonathan Ross, Founder & CEO @ Groq: NVIDIA vs Groq - The Future of Training vs Inference | E1260
Jonathan Ross, Harry Stebbings
Grok CEO Jonathan details a strategy where the company generates $1.5 billion in revenue by utilizing specialized LPU architectures to deliver inference services at five times lower costs than NVIDIA while scaling from 640 to over 40,000 chips. The organization prioritizes geometric capability gains through synthetic data and maintains a lean 300-person team to bypass memory bottlenecks and secure power deals with Saudi entities. This approach positions Grok to capitalize on an impending data center power oversupply while aiming to revolutionize longevity and solve complex alignment challenges within a decade.
Solly Solomou, Founder & CEO @ LADbible Group: From Penniless Shop Offices to Public Company | E1259
Solly Solomou, Harry Stebbings
Founder of Lab Bible built a media empire with minimal initial capital by prioritizing profitability and strategic acquisitions, eventually taking the company public on the London Stock Exchange to raise £120 million. The business now commands over 500 million global followers through verticals like Unilad and Betches, while expanding into social commerce and artificial intelligence to dominate the digital entertainment sector. Facing challenges from rapid scaling and a shifting market from traditional media, the organization maintains a culture focused on momentum and direct communication as it considers a future US dual listing.
How Writing Led To Investing In Ramp, Scale AI, Replit, Varda | Packy McCormick, Not Boring
Not Bored Capital has successfully grown its Assets Under Management to $50M by pivoting from pure software bets to a "vertically integrated" strategy that combines hardware and software infrastructure. The firm employs a "barbell" portfolio approach heavily weighting toward companies like Base and Earth AI while utilizing deep-dive journalism as its primary due diligence method to evaluate founder expertise. This media-meets-venture model, anchored by the 239,000-strong "Not Boring" newsletter, allows the firm to identify efficiency gains in AI and nuclear sectors while bypassing traditional confirmation bias found in standard accelerator programs.
- 80,000 Hours58 min
Will Elon's $97b bid for OpenAI hold up in court? (emergency pod with Rose Chan Loui)
Rose Chan Loui, Elon Musk, Rob, Sam Altman
Legal experts and regulators are scrutinizing OpenAI's proposed restructuring, which involves converting its nonprofit mission into a grant-making foundation while transferring control of the for-profit entity to a Delaware Public Benefit Corporation. This shift faces significant legal hurdles regarding fiduciary duties and antitrust concerns, particularly after Elon Musk offered $97.4 billion for the nonprofit stake on the condition that the original AGI-safety mission be restored. The outcome will likely depend on whether Delaware and California attorneys general approve the deal or if the board accepts a counter-proposal to ensure fair compensation and maintain independent oversight.
Fabien Pinckaers, CEO @Odoo: The Billionaire Founder Who Doesn’t Care About Money | E1259
Fabien Pinckaers, Harry Stebbings
Odoo founder Fabien Renard steered his company from a struggling open-source services firm into a profitable enterprise generating €550 million annually by pivoting to an Open Core model and rejecting traditional corporate hierarchies. The organization operates with a unique culture that relies on internal promotions, zero formal budgets, and extreme talent specialization to maintain a lean, 5,000-person workforce while aggressively targeting SAP and Salesforce through aggressive commoditization. Renard retains majority control and plans to avoid an IPO, instead utilizing secondary share transactions to provide investor liquidity while focusing the company's AI strategy on solving specific user inefficiencies rather than chasing market trends.
Sridhar Ramaswamy, CEO @Snowflake: Deepseek is Not a Threat to OpenAI & OpenAI Beats Anthropic|E1258
Sridhar Ramaswamy, Harry Stebbings
Snowflake CEO Sridhar Ramaswamy outlines a leadership philosophy centered on mental agility and direct communication while warning startups that infrastructure giants pose existential threats to model-only applications. He positions Snowflake ahead of competitors like Databricks by leveraging its platform as a unified data engine for agentic AI rather than just an analytics tool. Ramaswamy further predicts a bifurcated future where enterprise AI adoption relies on specialized, verticalized models built atop massive infrastructure investments, distinguishing the market from the consolidated consumer landscape dominated by OpenAI.
Brian Tolkin, Head of Product @Opendoor: How to Hire the Best Product Teams | E1257
This session analyzes critical product failures and successes, highlighting how UberPool's upfront pricing optimized user experience while a flawed UI toggle caused confusion, and how Opendoor corrected its strategy by shifting from buyer-focused expansion to leveraging seller tools. Speakers discuss the necessity of balancing rapid growth with technical debt, the strategic shift toward defining problems over solutions in one-pagers, and how AI will compress traditional design roles while elevating the value of strategic product leadership. The discussion concludes with insights on navigating real-world entropy, adapting prioritization frameworks for short and long-term horizons, and the importance of "dictatorial" leadership styles to maintain velocity in early-stage scaling.