Lenny's Podcast: Product | Career | Growth
Lenny Rachitsky
Episodes
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How a 19-year-old intern built the growth engine behind this $2B AI company | Hector Serrano
Paid acquisition should be tested early because cold-traffic conversion gives faster evidence about messaging and product value, but it cannot compensate for weak product-market fit.
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An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull)
Product-market pull exists when a specific person has an urgent project, must do it now, has considered alternatives, and finds those alternatives inadequate; pain or abstract value alone is not enough.
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Inside the black box of AI: How AI models actually think | Emmanuel Ameisen (Anthropic)
AI models are more than simple next-token predictors; they plan ahead and form internal representations of concepts.
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Why every company now needs to think and operate like a lab team | Josh Woodward (Google Labs, Gemini, AI Studio)
Every company needs to adopt a labs-style approach to stay competitive in the rapidly changing AI landscape.
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OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo Sottiaux
Most actions on the internet will soon be carried out by AI agents, and building products that scale for these agents is essential.
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The grief, loneliness, and burnout sweeping through the tech industry right now | Molly Graham
Change is inherently scary and hard, but it's a normal part of growth, and embracing it is essential to thrive.
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90 minutes of unfiltered product advice from Snap and Discord’s product chief | Peter Sellis
Effective team building involves ideological clarity and organizational discipline, rather than traditional hierarchy or collaboration.
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How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)
Rapid, focused development allows for quick iteration and market fit, exemplified by Grok Bot's one-month build cycle.
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Why companies are becoming a series of loops | Anish Acharya (a16z)
AI progression is unlikely to lead to sudden, uncontrollable 'takeoff'; rather, it will advance gradually with auto-catalytic but not recursive intelligence improvements.
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AI’s third era: the rise of persistent AI coworkers | Tara Seshan (Product Lead ChatGPT Work)
AI is entering its third era where persistent AI agents become collaborators and coworkers, shifting the focus from mere 'rowing' to strategic 'steering'.
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How to close $100K+ enterprise deals, step by step | Jen Abel
Enterprise sales involve a detailed, approximately 15-step process rather than a simple five stages.
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OpenAI’s Head of Design: This is the best time in history to be a designer | Ian Silber
Designers today are feeling overwhelmed and anxious due to rapid changes and uncertain expectations, but this moment also offers unprecedented opportunities for creative impact.
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The playbook for building high-talent-density teams | Adam Ward, Head of Talent at Cursor
Focus intensely on sourcing the top 20% of talent, rather than relying on the traditional volume-based funnel approach.
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This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)
Effective product management should be viewed as a muscle that needs consistent practice to develop, rather than a fixed qualification or role that fits all situations.
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Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future | Dianne Penn
Building successful AI companies relies heavily on strong culture, collaboration, and agility.
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Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)
AI is transforming roles, emphasizing the importance of systems thinking and adaptability across all functions.
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How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal)
AI has significantly split the tech workforce into two groups: those energized and thriving, and those disoriented or resentful.
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Adam Mosseri: AI is a tailwind for authenticity
Product team structures are shifting towards smaller, more flexible, and generalist 'pods' to improve agility and decision-making.
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OpenAI Codex lead on the new shape of product work | Andrew Ambrosino
AI enables rapid experimentation, transforming the traditional, resource-heavy product development process into a fast, curated innovation cycle.
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What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)
AI has transformed the role of software engineers, enabling teams to ship significantly more code and think ambitiously.
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