Interviews with world-class product leaders and growth experts to uncover concrete, actionable, and tactical advice to help you build, launch, and grow your own product.
Fiona Fung, leader of Claude Code and Co-work at Anthropic, reveals how her engineers now ship 8x more code than in 2021, fundamentally shifting the engineering bottleneck from writing to verification and requiring new AI-native management techniques to maintain quality at scale.
Mark Pincus shares his "Proven Better New" framework for building hit consumer products, arguing that founders should copy proven elements, make incremental improvements that 10/10 users love, and treat truly novel features as high-risk experiments—contrary to the instinct to prioritize innovation over familiarity.
Tony Fadell shares lessons from building the iPod and iPhone, arguing that creating category-defining products requires resisting AI-driven cognitive surrender, embracing opinion-based decision-making for 1.0 versions, and micromanaging critical details while maintaining ruthless focus on customer pain points and storytelling.
AI represents a transformative shift comparable to the internet or mobile, but we remain in its infancy (like 1997), with adoption spread unevenly across industries and the real challenge being integration and judgment rather than mere task automation.
Dan Shipper argues that AI will not eliminate jobs but instead bifurcate work into delegated agent tasks and deep creative work within AI-native environments, requiring more human oversight, not less.
Caitlin Kalinowski argues that as AI software capabilities saturate, the next inevitable frontier is physical AI—robotics and manufacturing—leveraging decades of VR/AR sensor technology, though hardware's brutal constraints around limited iterations, supply chains, and safety pose formidable barriers to scaling.
Eric Ries argues that standard corporate governance structures create a 'force of corruption' that statistically guarantees 80% of venture-backed founders lose control within three years of IPO, and explains how embedding structural safeguards—like Anthropic's independent safety board—can protect companies from the organizational decay that destroys even successful enterprises.
Max Schoening argues that as AI democratizes technical skills, agency—the belief that you can change the world—has become more valuable than specific capabilities, while product roles are merging as designers and PMs increasingly prototype and build directly in code.
Evan Spiegel argues that distribution—not software or network effects—has become the most critical moat in consumer technology, as AI makes code instantly replicable and incumbent platforms control user attention. Snap's survival strategy focuses on building hard-to-copy ecosystems (creator platforms, AR developers) and vertically integrated hardware like AR glasses to create durable defensive barriers.
Cat Wu, Head of Product at Anthropic, reveals how Claude Code ships features in days instead of months by redefining PMs as velocity enablers rather than coordinators, leveraging research previews to eliminate shipping barriers, and prioritizing product taste over process as code becomes increasingly cheap to write.
Product management is undergoing a radical shift from 'information movers' to AI-empowered builders focused on judgment, creating a bifurcated market where AI-first talent thrives while mechanical roles face obsolescence in the coming 12-24 months.
Keith Rabois shares contrarian frameworks for the AI era, arguing that product managers must evolve into CEO-like strategists, that high-performance cultures must sacrifice psychological safety for results, and that founders should ruthlessly prioritize hiring "barrels" (independent drivers) over "ammunition" (executors) to avoid scaling burn without output.