PODCAST · Lenny's Podcast

2025 年 9 月节目

7 期 · 7 期带分节

  • 09-28A 4-step framework for building delightful products | Nesrine Changuel (Spotify, Google, Skype)
    1. 00:00Introduction to Nesrine and product delight
    2. 04:56Why delight matters
    3. 09:17What makes a feature “delightful”
    4. 12:29The three pillars of delight
    5. 13:03Pillar 1: Removing friction (Uber refund example)
    6. 15:07Pillar 2: Anticipating needs (Revolut eSIM example)
    7. 17:21Pillar 3: Exceeding expectations (Edge coupon example)
    8. 18:35The “confetti effect” and when it actually works
    9. 22:02B2B vs. B2C: Why all products need emotional connection
    10. 29:52The Delight Model: A 4-step framework
    11. 30:57Step 1: Identifying user motivators (functional and emotional)
    12. 33:55Step 2: Converting motivators into product opportunities
    13. 34:46Step 3: Identifying solutions with the delight grid
    14. 36:46Step 4: Validating ideas with the delight checklist
    15. 40:22The Delight Model summarized
    16. 42:18The importance of familiarity (Spotify Discover Weekly story)
    17. 45:21Real examples: Chrome’s tab management solution
    18. 51:32Google Meet’s solution for “Zoom fatigue”
    19. 55:02Getting buy-in from skeptical leaders
    20. 59:39Prioritizing delight: The 50-40-10 rule
    21. 1:02:41Creating a culture of delight in your organization
    22. 1:06:45The habituation effect
    23. 1:08:15When delight goes wrong: Apple reactions example
    24. 1:10:21How delight motivates product teams
    25. 1:12:24Lightning round and final thoughts
  • 09-25Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course)
    1. 00:00Introduction to Hamel and Shreya
    2. 04:57What are evals?
    3. 09:56Demo: Examining real traces from a property management AI assistant
    4. 16:51Writing notes on errors
    5. 23:54Why LLMs can’t replace humans in the initial error analysis
    6. 25:16The concept of a “benevolent dictator” in the eval process
    7. 28:07Theoretical saturation: when to stop
    8. 31:39Using axial codes to help categorize and synthesize error notes
    9. 44:39The results
    10. 46:06Building an LLM-as-judge to evaluate specific failure modes
    11. 48:31The difference between code-based evals and LLM-as-judge
    12. 52:10Example: LLM-as-judge
    13. 54:45Testing your LLM judge against human judgment
    14. 01:00:51Why evals are the new PRDs for AI products
    15. 01:05:09How many evals you actually need
    16. 01:07:41What comes after evals
    17. 01:09:57The great evals debate
    18. 1:15:15Why dogfooding isn’t enough for most AI products
    19. 01:18:23OpenAI’s Statsig acquisition
    20. 1:23:02The Claude Code controversy and the importance of context
    21. 01:24:13Common misconceptions around evals
    22. 1:22:28Tips and tricks for implementing evals effectively
    23. 1:30:37The time investment
    24. 1:33:38Overview of their comprehensive evals course
    25. 1:37:57Lightning round and final thoughts
  • 09-21From managing people to managing AI: The leadership skills everyone needs now | Julie Zhuo (Facebook VP, Sundial CEO, The Making of a Manager author)
    1. 00:00Welcome back, Julie!
    2. 05:18The success of The Making of a Manager
    3. 08:41Why AI will make everyone a manager
    4. 11:38The future of management roles
    5. 14:00Empowering teams with AI
    6. 21:30Specific roles being accelerated by AI
    7. 26:53Data analysis in AI companies
    8. 32:02The role of data in design
    9. 37:21The evolving role of managers in the AI era
    10. 40:22Embracing change and uncertainty
    11. 42:14Timeless lessons for managers
    12. 49:03Balancing strengths and weaknesses
    13. 57:49Building a feedback culture
    14. 01:05:33Creating win-win situations
    15. 01:09:27Being aware of your own energy and conviction
    16. 01:12:12Navigating disagreements with higher-ups
    17. 01:15:57AI corner
    18. 01:20:08Contrarian corner
    19. 01:23:14Lightning round and final thoughts
  • 09-18Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor)
    1. 00:00Introduction to Brendan Foody and Mercor
    2. 05:38The “era of evals”
    3. 09:26Understanding the AI training landscape
    4. 17:10The future of work and AI
    5. 25:54The evolution of labor markets
    6. 29:55Understanding how AI models are trained
    7. 38:58Building Mercor
    8. 53:27Lessons from past ventures
    9. 56:55The future of AI and model improvement
    10. 01:00:41His personal use of AI and final thoughts
  • 09-14The ultimate guide to AEO: How to get ChatGPT to recommend your product | Ethan Smith (Graphite)
    1. 00:00Welcome back, Ethan
    2. 04:34The changing landscape of SEO
    3. 06:19AEO (answer engine optimization) vs. GEO (generative engine optimization)
    4. 08:13The impact of AEO
    5. 11:51How early-stage startups can win at AEO
    6. 14:34The quality of AEO leads
    7. 15:35On-site vs. off-site traffic
    8. 16:32Reddit’s role in AEO and avoiding spam
    9. 20:11How AI models use citations (RAG)
    10. 21:41Key principles for winning at AEO
    11. 25:00Avoiding hyper-SEOed content, and the importance of originality
    12. 28:55Actionable AEO playbook: steps and experiments
    13. 33:35Tracking, measuring, and share of voice
    14. 38:34Adapting AEO for B2B, commerce, and early-stage companies
    15. 41:11Is letting AI index your content good?
    16. 43:06Experimentation, control groups, and measuring results
    17. 46:15The future of AEO, SEO, and search channels
    18. 51:35AI-generated content: what works and what doesn’t
    19. 55:25The dangers of infinite AI derivatives
    20. 58:44The future: convergence of LLMs and search
    21. 01:00:40Help-center optimization and the long tail
    22. 01:03:18Lightning round and final thoughts
  • 09-11$46B of hard truths from Ben Horowitz: Why founders fail and why you need to run toward fear (a16z co-founder)
    1. 00:00Introduction to Ben Horowitz
    2. 04:09Important leadership lessons from Shaka Senghor
    3. 10:15Running toward fear and why hesitation kills companies
    4. 19:35Who shouldn’t start a company
    5. 22:36The Databricks story: thinking bigger
    6. 24:54Managerial leverage and CEO psychology
    7. 28:06When founders should be replaced as CEOs
    8. 31:20Normalizing failure for CEOs
    9. 37:57Counterintuitive lessons about building companies
    10. 42:31“Good Product Manager/Bad Product Manager”
    11. 48:21Product managers as leaders
    12. 51:16Why a16z invested in Adam Neumann after WeWork
    13. 56:23Is AI in a bubble?
    14. 01:02:43The biggest opportunities in AI
    15. 01:12:51Why U.S. leadership in AI matters
    16. 01:18:53The Paid in Full Foundation for hip-hop pioneers
    17. 01:23:18Lightning round: book recommendations, products, and life mottos
  • 09-07How AI is reshaping the product role | Oji and Ezinne Udezue
    1. 00:00Introduction to Oji and Ezinne
    2. 04:14The evolving role of product managers
    3. 08:01Challenges and opportunities in product management
    4. 10:34Sharp problems
    5. 12:37The shipyard model for product development
    6. 17:02Hiring PMs in the AI era
    7. 24:55The importance of staying humble
    8. 27:16Hands-on learning and personal projects
    9. 39:10Companies succeeding with AI adoption
    10. 46:25Lessons from 50 years in product
    11. 49:22Simplicity in design
    12. 51:24The role of communication in strategy
    13. 55:17Career intentions and personal growth
    14. 01:00:00Ethics and responsibility in product management
    15. 01:03:09Introducing Building Rocketships
    16. 01:06:42Lightning round and final thoughts