Episodes (Page 3)
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Surge AI reached $1B+ revenue with <100 employees by obsessing over quality and teaching frontier labs what makes good AI output
Edwin Chen
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Tomer Cohen transformed LinkedIn's product model by scrapping Associate PM program for Full Stack Builder approach combining coding, design, and PM
Tomer Cohen
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GTM is becoming strategically crucial in the AI era; the rise of the 'GTM engineer' reflects how technical expertise now matters in go-to-market functions like sales and operations
Jeanne DeWitt Grosser
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Rachel Lockett's GROW technique enables coaching by asking powerful questions that help people solve problems themselves rather than directive instruction
Rachel Lockett
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Stewart Butterfield shares core mental models including 'utility curves,' 'owner's delusion,' and 'hyper-realistic work-like activities' that drove Slack and Flickr success
Stewart Butterfield
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Dr. Fei-Fei Li spearheaded ImageNet, the dataset that sparked the deep-learning revolution, and explains how AI breakthroughs emerged from seemingly impossible moments
Fei-Fei Li
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Grant Lee built Gamma to $100M ARR in two years with just 30 people, despite an investor calling the idea 'the dumbest idea I've heard'
Grant Lee
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Jen Abel outlines enterprise sales playbook for $1M-$10M ARR focusing on vision-casting rather than problem-solving to win deals
Jen Abel
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Melanie Perkins built Canva to $42B valuation using 'column B' thinking
Melanie Perkins
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Block's internal AI agent Goose saves employees 8-10 hours weekly; company became one of most AI-native enterprises through Dhanji's 'AI manifesto' transformation
Dhanji R. Prasanna
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Chip Huyen distinguishes actual AI product quality drivers from common misconceptions; data quality matters more than vector database selection
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Nicole Forsgren reveals most productivity metrics are misleading; DORA and SPACE frameworks measure what actually matters: flow state, cognitive load, and feedback loops
Nicole Forsgren
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Dylan Field maintained team morale post-failed Adobe acquisition by focusing on pace and urgency; Figma IPO succeeded after regulatory pushback
Dylan Field
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Google's AI products are taking off after perceived stagnation because AI Overviews and AI Mode are expanding search rather than replacing it
Google Search
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Scale AI's $14B Meta deal reflects how foundational training data powers every major AI lab; human experts remain essential for improving AI models beyond what benchmarks show
Jason Droege
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The explore-exploit framework finds new growth opportunities through rapid experimentation; Albert's teams run 1,000 experiments yearly, discovering counterintuitive insights
Albert Cheng
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Delight is a business strategy driving retention, not just UI polish; emotional connection to products separates winners from commodities across B2C and B2B
Nesrine Changuel
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Evals are systematic methods to test AI product quality; they've become the hottest skill for product builders by enabling data-driven improvement over subjective 'vibes'
Hamel Husain
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Julie Zhuo identifies three core manager skills that directly translate to managing AI agents; AI tools help teams learn new skills 10x faster
Julie Zhuo
Sundial CEO
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Brendan Foody's Mercor grew from $1M to $500M in just 17 months by identifying that expert evals are AI progress bottleneck