Latest Interviews
Showing 151–165 of 466 interview transcripts.
Clear all filtersNiklas Östberg, Founder @ Delivery Hero: Competing with Uber and Doordash in a Capital Arms Race
Niklas Östberg, Harry Stebbings
Delivery Hero CEO Max Osberg reflects on past strategic errors, including unsustainable overexpansion in Thailand and missed equity opportunities during the 2018-2019 peak, which contributed to significant capital losses and a subsequent 50% stock decline. The discussion outlines a shifted operational philosophy prioritizing unit economics and internal execution over market share expansion, alongside the successful integration of the Glovo acquisition despite initial accounting losses. Looking ahead, the company plans to leverage robotics and generative AI for efficiency while navigating a challenging European regulatory landscape to achieve long-term profitability across its global portfolio.
Julian Teixeira, CRO @ 1Password: How to Hire and Train Your First Sales Hires
Julian Teixeira, Harry Stebbings
This comprehensive sales framework outlines a strategy for building high-performance revenue teams by defining a playbook as a dynamic anatomy of wins that requires concurrent skills development and strategic hiring. Leaders navigate hyper-growth by balancing personal connection with data-driven accountability, utilizing hybrid outbound models to generate pipeline while aligning compensation with Net Dollar Retention and long-term customer success. The approach emphasizes founder-led insights in early stages, rigorous onboarding where reps generate their own leads, and a cultural shift away from obsolete urgency tactics toward value-based selling that withstands increased procurement scrutiny.
Anton Osika, Co-Founder and CEO @ Lovable: Hitting 85% Day 30 Retention - Better than ChatGPT
Lovable.dev, founded by Anton Osyka, has emerged as Europe's fastest-growing company by scaling from pre-seed funding to nearly $2 million in weekly revenue with a user retention rate surpassing 85%. Diverging from the Silicon Valley model, the Stockholm-based firm intentionally rejected Y Combinator to prioritize raw talent and a flat organizational structure while executing a critical full codebase rewrite to stabilize its AI agent platform. By aggregating models like Anthropic's Claude and focusing on deploying applications for one million individual builders rather than enterprise sales, the company aims to prove that European startups can achieve global dominance through engineering efficiency and cultural cohesion.
Mike Krieger, Instagram CoFounder & Anthropic CPO: Where Will Value Be Created in an AI World?|E1265
Industry experts identify that sustained AI success depends on proprietary data access and vertical-specific go-to-market strategies rather than reliance on generic foundation models. While early adopters drive rapid iteration in enterprise environments, the sector faces critical hurdles regarding complex real-world evaluation, privacy discernment, and the strategic bottleneck of human alignment. Future market leaders must balance the speed of product releases with the development of robust evaluation environments to transform AI from a novelty into an indispensable tool for complex workflows.
George 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.
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.
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.
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.
Max Levchin, Founder & CEO @ Affirm:The Biggest Surprise Scaling to $18.7BN Market Cap
The speaker articulates a leadership framework that prioritizes hiring extreme, opinionated individuals while strictly terminating those who breach integrity, asserting that true talent differentiation occurs only after post-hire performance on complex projects. Organizational culture is reinforced through a disciplined writing-first approach, clinical post-mortem analysis, and a hybrid work model that balances high-speed execution with the necessity of in-person relationship building. Strategic execution hinges on distinguishing between reversible and irreversible decisions, leveraging a "lean startup" philosophy that requires rebuilding successful prototypes for production, and maintaining a focus on substantive operational growth over market speculation.
Nabeel Hyatt, GP @ Spark Capital: To Win in AI, Investors Need to Change Their Approach | E1255
Spark Capital partner Nabil argues that the AI venture landscape functions as an unpredictable environment of mysteries rather than solvable puzzles, rendering traditional industrialized venture capital strategies and rigid metrics obsolete. To navigate this uncertainty, the firm maintains a lean, artisanal team structure that prioritizes subjective judgment and rapid execution speed over pattern matching, specifically targeting founders capable of evolving their products into revolutionary new platforms. This approach rejects the notion that avoiding competitive deals ensures safety, instead embracing high-risk exceptions where deep founder alignment and control of consumer interfaces serve as the primary moats against market volatility.