Lenny's Podcast 全部节目

2026 年 10 月

1 期

10-04OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo Sottiaux37 分钟
1. 00:00Introduction to Tibo Sottiaux
2. 01:12How Tibo uses AI in his daily work
3. 03:10The vision for always-on AI agents
4. 06:15How AI will continue to change work
5. 07:32Bringing Codex, ChatGPT, and Dots together
6. 08:20The sci-fi inspiration behind the technology
7. 09:02Building AI with the community
8. 10:13Understanding the Dots structure
9. 11:34OpenAI’s open ecosystem and plugin revenue sharing
10. 13:39How plugins get discovered and recommended
11. 14:39The research behind Dots
12. 16:20Where humans will remain valuable
13. 17:25Agent fatigue, loneliness, and context switching
14. 18:55The pressure to do more with AI
15. 20:09An agent that spotted a production outage before a live demo
16. 21:42Agent guardrails and connecting multiple devices
17. 23:25The skills becoming more valuable in the AI era
18. 25:56Advice for people early in their careers
19. 27:18How teams build and ship inside OpenAI
20. 28:59Autonomy, trust, and learning from mistakes
21. 30:45Building for a future where agents dominate internet activity
22. 32:41What Tibo has changed his mind about
23. 33:55OpenAI’s approach to AI safety and alignment
24. 36:15Moving beyond model pickers toward simpler AI

2026 年 9 月

4 期

09-27The grief, loneliness, and burnout sweeping through the tech industry right now | Molly Graham94 分钟
1. 00:00Molly Graham returns
2. 03:34What is “Give away your Legos”?
3. 05:44The origin story: Google, Facebook, and rapid scale
4. 11:27What still holds true in an AI world
5. 18:13Engineering’s identity shift: from rowing to steering
6. 22:09Loneliness and the collapse of team structure
7. 24:06The centaur and the reverse centaur
8. 25:36The fear narrative: AI-branded layoffs and overblown doom
9. 29:20Survey data: burnout is up to 55%, but half of people are thriving
10. 35:07Cleaning up AI slop
11. 40:01What’s actually different: delegating to AI vs. giving Legos to a human
12. 42:02Why every worker is now a manager, whether they want to be or not
13. 49:07Why giving things away creates space for new opportunities
14. 55:27Advice for people in the age of AI
15. 59:38What Legos you should never give away
16. 01:03:12The human sandwich: vision at the top, AI in the middle, humans at the end
17. 01:05:00Holding on to the things you love: grief, funerals, and what comes next
18. 01:09:39Slow takeoff: why you’re not too late
19. 01:13:32The most important skill to build right now
20. 01:18:58A message for managers and leaders
21. 01:24:17Key takeaways
22. 01:31:42Final thoughts
09-2090 minutes of unfiltered product advice from Snap and Discord’s product chief | Peter Sellis97 分钟
1. 00:00Introduction
2. 02:48Why Peter avoided podcasts until now
3. 05:44Designing teams like terrorist organizations
4. 10:35Cult versus terrorist org: the key distinction
5. 11:19Managing Nikita Bier
6. 12:56Building orgs that handle spiky talent
7. 15:16Why the median PM is probably bad
8. 18:28Is the PM profession getting better?
9. 20:49Snap’s three ads monetization challenges
10. 25:03Snap’s underrated product track record
11. 27:57Systems thinking
12. 32:19Instagram copying Snapchat’s worst features
13. 33:32Software moats
14. 35:27Taste, museum curators, and the art of saying no
15. 40:05OpenAI, ads, and the trust auction mechanism
16. 46:25Counterintuitive lesson: ride your best people hard
17. 50:13Why collaboration is often overrated
18. 50:50Growth lives in the core product
19. 57:50When to bet on something genuinely new
20. 01:02:18SpaceX and sunsetting the Falcon 9
21. 01:07:01Ambition as a learnable muscle
22. 01:10:26Long-term greedy: the ads philosophy
23. 01:13:36The Core Product Value framework
24. 01:16:33The three oxymorons of a great PM
25. 01:20:29Contrarian corner
26. 01:26:00Lightning round and final thoughts
09-08How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)83 分钟
1. 00:00Introduction
2. 02:09The origin story: building from scratch in one month
3. 08:40Why Grok Bot was built as a separate product
4. 11:20Manually onboarding a couple hundred people
5. 14:29Hiding internal mechanics from users
6. 18:41Timeline from beta to public launch
7. 19:14Unshipping features and simplifying
8. 23:50Early use cases and feedback
9. 26:50Product philosophy: “Grok Bot can now”
10. 30:02Cloud-first architecture
11. 33:12The fresh-start advantage
12. 35:54The vision: a true team of AI colleagues
13. 39:20The “colleague-pilled” framework
14. 42:36Work versus personal: one product or two?
15. 47:14Long-lived agents, persistent memory, and the computer abstraction
16. 51:04Grok Bot as an always-on infovore and chief of staff
17. 53:35How fast the team moves and what preserves the startup feeling
18. 58:20SpaceXAI pillars
19. 1:00:44The first 90% vs. the last 10%
20. 1:03:30Moving fast at scale
21. 1:06:40How Cursor kept winning in the most competitive market in the world
22. 1:10:04Company values: “deleting the product” and “just do the thing”
23. 1:11:45Moats: discovered, not planned
24. 1:15:11Tips for new users and power users
25. 1:18:00Lightning round and final thoughts
09-06Why companies are becoming a series of loops | Anish Acharya (a16z)79 分钟
1. 00:00Introduction
2. 02:25The fear of AI creating a permanent underclass
3. 05:25Why AI takeoff may be slower than expected
4. 08:02How companies are actually adopting AI
5. 11:25Building AI products with loops
6. 15:25Why human intuition still matters
7. 20:19What the winners in AI are doing differently
8. 21:41Generalists vs. specialists
9. 26:22How to become a model sommelier
10. 32:03/loop make me happier
11. 36:15Why Anish is optimistic about the future of AI
12. 42:47What happens when models become too dangerous
13. 46:29How AI will change jobs and ambition
14. 51:34The state of consumer AI
15. 54:30How to build a durable moat in AI
16. 59:25The power of distribution and word of mouth
17. 01:04:30Making bigger bets and rethinking pricing
18. 01:09:17Advice for product builders in the AI era
19. 01:11:48Lightning round and final thoughts

2026 年 8 月

5 期

08-30AI’s third era: the rise of persistent AI coworkers | Tara Seshan (Product Lead ChatGPT Work)82 分钟
1. 00:00Introduction
2. 02:18What makes OpenAI’s culture so different
3. 06:42Why AI product strategy is all about fast experimentation
4. 09:02How the PM role is changing
5. 10:50The shift from rowing to steering
6. 15:35What changes when agents become coworkers
7. 20:05Why ambition matters more than ever
8. 26:39Building products for models that do not exist yet
9. 29:21How ChatGPT’s Chat and Work modes differ
10. 34:01How OpenAI ships so quickly at scale
11. 39:14The vibe shift happening inside Codex
12. 42:20Why traditional roles are beginning to blur
13. 45:59Where humans will continue to provide unique value
14. 48:20How Tara uses AI in her own work
15. 51:38The magic of the /visualize command
16. 52:39Writing to think versus writing to report
17. 57:10How to use AI without losing your ability to think
18. 01:00:15Tara’s biggest lesson from Sutter Hill
19. 01:04:16ChatGPT’s site output
20. 01:05:01Why knowledge work is becoming more like coding
21. 01:07:55Lightning round and final thoughts
08-23How to close $100K+ enterprise deals, step by step | Jen Abel85 分钟
1. 00:00Introduction
2. 02:49Why Jen is giving away her enterprise sales playbook
3. 05:54Example: selling AI legal tech to SpaceX
4. 09:11Step 1: Landing the meeting
5. 18:44Step 2: Running the intro call
6. 30:00Step 3: Running a follow-up call
7. 36:30Step 4: Prepping the pitch/frame for demo
8. 38:36Step 5: Running the demo
9. 46:45Step 6: Post-demo debrief
10. 48:59Step 7 through 9: Preparing for and running the pilot
11. 01:03:44Why the standard five-stage CRM pipeline doesn’t work
12. 01:04:49Step 10: Post-pilot session
13. 01:07:48What a healthy enterprise win rate looks like
14. 01:11:45Steps 11 through 14: Navigating procurement and getting the signature
15. 01:18:01How to think about expansion
16. 01:19:18How buyers can say no without wasting everyone’s time
17. 01:21:53Why enterprise sales is a lot like product management
18. 01:22:27Closing thoughts
08-16OpenAI’s Head of Design: This is the best time in history to be a designer | Ian Silber72 分钟
1. 00:00Introduction to Ian Silber
2. 02:14Why designers in general feel anxious about AI
3. 09:01What makes specific designers thrive in the AI era
4. 13:41Why Ian says it’s the best time in history to be a designer
5. 17:13How product roles are converging
6. 22:24Can AI design great products?
7. 23:54Where human judgment still matters
8. 27:34What Ian looks for when hiring designers
9. 30:20Why systems thinking matters
10. 32:53Balancing speed and craft
11. 38:05Designing for vastly different audiences
12. 41:57Solving the blank-box problem
13. 43:31How ChatGPT is evolving beyond chat
14. 46:07The vision for Codex
15. 49:07What Ian wishes he knew on day one
16. 51:40Why humility matters in AI
17. 53:41Advice for designers who are feeling overwhelmed
18. 55:16AI corner
19. 57:43Failure corner
20. 01:00:45Lightning round and final thoughts
21. 01:05:52Lessons from Groupon
08-09The playbook for building high-talent-density teams | Adam Ward, Head of Talent at Cursor91 分钟
1. 00:00Introduction
2. 03:01The state of the hiring market
3. 06:41What roles are trending up and what roles are trending down
4. 11:25The three-step hiring framework that changes everything
5. 21:58Getting the right people to actually respond
6. 25:42Keeping talent a top priority
7. 29:16Inside Cursor’s recruiting operation
8. 32:19How to relentlessly pursue top talent
9. 35:42“Caring is free”
10. 38:33The conversation most companies underestimate
11. 39:19Rethinking the atomic unit of a search
12. 40:12Other recruiting tactics
13. 45:04What the on-site is really for
14. 49:35The importance of work trials
15. 53:10The offer stage
16. 57:53Negotiations and comp
17. 01:01:50The details that actually close the deal
18. 01:07:23What it’s like working with an exec team who values recruiting
19. 01:09:42Talent density
20. 01:11:18The first recruiting hire most founders get wrong
21. 01:15:00Building incredible teams
22. 01:18:12The time between offer and acceptance
23. 01:19:48What’s next for the recruiting function
24. 01:21:00Lightning round
08-02This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)85 分钟
1. 00:00Introduction
2. 02:40“We regret that product management exists”: what it means and why
3. 08:30When specialization makes sense, and when it doesn’t
4. 15:20How Whatnot structures its PM org
5. 17:28What 31,832 PM applications revealed about the function
6. 19:40How to develop systems thinking
7. 22:10The shift to senior ICs doing IC work
8. 32:26Advice for PMs struggling in today’s market
9. 35:22How AI has transformed work at Whatnot
10. 41:14The data scientist problem
11. 42:48Which roles are trending up and down
12. 44:48What the product team of the future looks like
13. 46:29Why core PM skills are the most durable in an AI world
14. 49:23How to get the most out of the people you hire
15. 53:32Navigating the CPO-founder relationship
16. 57:34Advice for aspiring CPO’s
17. 59:16How to know when to stand firm and when to step back
18. 01:01:38Play the accordion: balancing strategic vision with fast iteration
19. 01:06:35Agentic commerce vs. live commerce
20. 01:09:46Lessons from Twitter
21. 01:13:07Failure corner
22. 01:15:45Lightning round and final thoughts

2026 年 7 月

4 期

07-26Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future | Dianne Penn94 分钟
1. 00:00Introduction
2. 02:31Early Anthropic days
3. 08:55Big milestones
4. 13:50Inside the exponential
5. 20:02Token maxing
6. 23:30Anthropic Labs and the incubation model
7. 27:30How the research role works
8. 31:35How to become a top researcher
9. 35:18Frontier model safeguards
10. 39:38Hiring in the AI era
11. 44:16Building an eval set
12. 47:48Evals vs PRDs
13. 49:55The importance of hands-on leadership
14. 52:46Finding joy in AI
15. 58:10How Dianne uses Claude
16. 01:01:05Avoiding overreliance on AI
17. 01:03:50The constitution that makes Claude better
18. 01:07:11AI writing and verification
19. 01:11:40Where human brains will continue to be valuable
20. 01:14:10Navigating AI with kids
21. 01:16:26Alignment, the future of the PM role, and burnout
22. 01:21:54Lightning round and final thoughts
07-19Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)72 分钟
1. 00:00Introduction
2. 02:25AI and role confusion: the storming phase before the forming phase
3. 07:36How roles have changed in the past two and a half years
4. 11:55Will functions survive? The case for craft specialism
5. 13:26What Netflix is hiring more of—and less of
6. 17:22Why systems thinking is the rising skill across every function
7. 20:20Is the design process dead?
8. 22:08Skills trending down
9. 28:33AI fluency and Netflix’s career ladder overlay
10. 31:00AI use cases beyond coding
11. 35:12Netflix’s AI history
12. 38:36Excellence as an operating system
13. 41:11The pillars of the excellence OS
14. 46:41The keeper’s test—and why it’s mostly a positive conversation
15. 50:21Attracting top talent in the age of frontier AI labs
16. 52:54Junior talent, craft mastery, and the mentorship question
17. 56:25Where engineering goes in 5 to 10 years
18. 59:45The future of entertainment: beyond film and TV
19. 1:02:18AI in Hollywood: Netflix’s creator-enablement position
20. 1:06:15Lightning round and final thoughts
07-12How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal)96 分钟
1. 00:00Introduction to Noam Segal
2. 02:34About the survey: methodology and scope
3. 06:04The core finding: AI has split the tech workforce in half
4. 13:03The AI identity stance
5. 14:40The four archetypes: Energized, Conflicted, Disoriented, Resentful
6. 19:35Burnout is surging (and why shipping faster is making it worse)
7. 22:53A glimmer of hope
8. 24:55Layoff worries
9. 29:15The career recommendation NPS score
10. 36:45The ladder metaphor: rungs disappearing beneath our feet
11. 45:14AI is making us faster, not better
12. 52:53The #1 fear: being squeezed to do more for the same pay
13. 55:55The emotional landscape and “smiling exhaustion”
14. 01:01:02Designers and researchers: the most negative group two years running
15. 01:06:27Who’s happiest
16. 01:12:18Managers: the single biggest lever on well-being
17. 01:18:47The industry is “chaotic”
18. 01:24:53What employees and leaders can do right now
19. 01:31:32AI guilt and closing thoughts
07-09Adam Mosseri: AI is a tailwind for authenticity68 分钟
1. 00:00Introduction to Adam Mosseri
2. 02:09How product teams are changing inside Meta
3. 05:48Blurring roles and career anxiety
4. 14:01Hiring traits that matter now
5. 16:48How AI is resetting who succeeds at work
6. 19:38How Meta thinks about token spend and AI costs
7. 23:23Where human judgment still matters
8. 25:56Why AI is not automatically great at strategy
9. 30:36Why great product leaders are curators
10. 34:23What Instagram’s algorithm actually knows about you
11. 38:08Why chronological feeds often disappoint users
12. 40:56Why AI content may be a tailwind for Instagram
13. 43:42The future of AI and human content in the feed
14. 48:00What Adam admires about other social platforms
15. 52:05How he handles public criticism
16. 56:31Lessons from the Instagram feed redesign backlash
17. 01:00:21Adam’s biggest failure: Instagram on iPad
18. 01:03:03His approach to kids, screens, and social media
19. 01:06:56What Adam wants listeners to remember

2026 年 6 月

4 期

06-28OpenAI Codex lead on the new shape of product work | Andrew Ambrosino70 分钟
1. 00:00Introduction to Andrew Ambrosino
2. 02:30How AI is changing the shape of product work
3. 06:32When to use documents vs. prototypes
4. 10:25What “taste” actually means
5. 12:06Why AI is still bad at design
6. 16:18Is the design process really dead?
7. 21:35What the design process looks like on the Codex team
8. 23:41Are product functions disappearing?
9. 27:22Team structure
10. 30:12IC vs. management
11. 31:37Planning roadmaps
12. 35:16Building features that don’t work yet
13. 38:13The ambition problem: when you’re too AGI-pilled
14. 39:17The latest frontier: loops and autonomous development
15. 52:05How Andrew uses Codex to automate his entire job
16. 46:52The power of computer use and browser automation
17. 49:10Will we run all our SaaS apps inside Codex?
18. 52:05The future vision for Codex
19. 57:20The videographer who built a Premiere Pro extension with Codex
20. 59:30Failure corner
21. 1:01:50Lightning round
22. 1:07:03BTS: How our producer uses Codex for editing
06-21What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)99 分钟
1. 00:00Introduction to Fiona Fung
2. 02:31How the engineering role has transformed over 25 years
3. 09:28What an AI-pilled software team looks like in 2026
4. 12:26Using Claude to manage and review team output
5. 14:40The evolution of code review and verification
6. 16:55Who to hire: creative builders and deep systems experts
7. 18:18The shift to ambitious thinking
8. 19:40The growth mindset required to thrive in AI-native teams
9. 25:52Helping small businesses adopt AI tools
10. 31:46How Anthropic spots latent demand and builds for it
11. 35:08The next frontier: asynchronous work with AI routines
12. 38:06Agency and accountability in AI-native teams
13. 39:40The vibe shift from token-maxing to ROI measurement
14. 44:24The “bad vs. sad” quality framework
15. 49:34Why all managers start as ICs at Anthropic
16. 55:24Preventing skill atrophy
17. 58:43Managing context switching with 20 AI agents running
18. 1:00:08How PM and data science roles are transforming
19. 1:03:40The importance of dogfooding and using your own product
20. 1:08:36Outstanding questions
21. 1:12:48The future of engineering jobs and education
22. 1:17:59What keeps Fiona up at night: team culture at scale
23. 1:22:53From six-month roadmaps to JIT (just-in-time) monthly planning
24. 1:27:03Lightning round
06-14The hidden pattern behind successful products | Mark Pincus (founder of Zynga)99 分钟
1. 00:00Introduction to Mark Pincus
2. 02:46The Proven Better New framework overview
3. 07:29Earning the right to innovate
4. 08:30What “better” really means
5. 12:03Quick summary of the framework
6. 12:40Examples of the framework in action
7. 13:30How to use proven correctly on your platform
8. 15:13The moral arbitrage of copying
9. 23:55Be less ambitious
10. 28:25The Bolt.new story and staying humble
11. 33:15Kill hope before hope kills you
12. 37:00Using AI as a failure machine
13. 40:08Why Zynga’s games succeeded (it wasn’t virality)
14. 48:36The future of consumer social apps
15. 57:05How to know if your product is a B+
16. 1:01:25Distribution in the age of AI
17. 1:15:39Make everyone a CEO
18. 1:18:18Stay close to the metal
19. 1:21:35Why Mark says micromanagement is beautiful
20. 1:23:35The expert witness
21. 1:25:05The number one job of a CEO is to be right
22. 1:26:35What Mark is teaching his five kids
23. 1:35:14Mark’s “why”
24. 1:37:08Mark’s new book: Life at The Speed of Play
06-07Father of the iPod and iPhone on building taste, judgment, and creativity in the AI era | Tony Fadell95 分钟
1. 00:00Introduction to Tony Fadell
2. 02:23The Blackberry vs. iPhone keyboard debate
3. 07:50Micromanaging vs. kind lies: what great products actually need
4. 15:57The Nest thermostat and smoke alarm story
5. 21:22How to decide what’s worth building: pain plus new technology
6. 27:36The three-generation rule: why nothing works the first time
7. 34:20The full customer journey: why marketing defines your product
8. 40:53The power of storytelling and the press-release-first approach
9. 48:37The evolution of product management and the builder role
10. 50:27Why AI-generated code creates brittle, unmaintainable products
11. 58:00Storytelling techniques
12. 1:05:45The next iPhone
13. 1:13:15Hardware is back
14. 1:17:01What Tony is most excited about
15. 1:21:38Working with Tony
16. 1:25:36Ethics, morals, and the responsibility of product builders
17. 1:32:40How to connect with Tony and Build Collective

2026 年 5 月

5 期

05-31A rational conversation on where AI is actually going | Benedict Evans80 分钟
1. 00:00Introduction to Benedict Evans
2. 02:19What people aren’t pricing in about AI’s impact
3. 06:24Why we’re in the 1997 moment of AI
4. 09:44The unexpected boom in professional services and consultants
5. 17:44Why distribution is becoming the ultimate moat
6. 23:17The coming job transformation: what’s real vs. panic
7. 27:33Why AGI definitions keep shifting
8. 38:11Where value will accrue: models vs. applications
9. 42:55Distribution wars: Google, Meta, Apple, and OpenAI
10. 48:12The anti-AI sentiment and backlash
11. 53:11How to raise kids in an AI future
12. 58:27What jobs to steer toward or away from
13. 59:20The question nobody’s asking about AI
14. 1:06:25How to be successful in this coming future
15. 1:08:43AI corner
16. 1:11:43Lightning round
05-24The AI paradox: More automation, more humans, more work | Dan Shipper94 分钟
1. 00:00Introduction to Dan Shipper
2. 02:56Dan’s unique position living in the AI future
3. 09:17How the way we work will change in the coming year
4. 16:39The case for general agents
5. 18:08Codex and Claude Code as the new operating system for work
6. 25:39How Cursor fits in
7. 27:42How this changes what SaaS companies should build
8. 31:13Why CLI is already over
9. 33:34Two agents are better than one
10. 36:22Why Dan is bullish on SaaS stocks
11. 39:01Why automation doesn’t reduce human work
12. 47:00The value of human-written code
13. 48:36Quick recap
14. 50:15How work is changing
15. 56:17Why data scientists are drowning in bad analysis
16. 58:24Which product/tech roles are least changed by AI
17. 1:02:17We will read way more AI-generated writing and we will like it
18. 1:08:28Why product managers will dominate the AI era
19. 1:11:05Full-stack designers are the other big winners
20. 1:13:11The AI job apocalypse won’t happen
21. 1:16:00How to “ride the models” to stay relevant
22. 1:21:02Final predictions and advice
23. 1:25:24Lightning round
05-17Why we’re at the beginning of the AI hardware boom | Caitlin Kalinowski (ex–OpenAI, Meta, Apple)99 分钟
1. 00:00Introduction to Caitlin Kalinowski
2. 02:32Why VR didn’t take off despite incredible hardware
3. 04:55The future of AR glasses and physical AI
4. 08:45Why robotics and hardware are suddenly hot
5. 13:33Why humanoid robots aren’t ready yet
6. 16:13Supply chain bottlenecks threatening robotics
7. 17:31Why magnets and actuators are critical dependencies
8. 20:51The geopolitical implications of hardware supply chains
9. 24:48AI safety concerns with physical robots
10. 26:50Apple’s approach to hardware excellence
11. 30:10Building a hardware program from scratch at Meta
12. 31:39The Quest 2 cost reduction story
13. 33:07Critical principles for hardware development
14. 39:58The MacBook Air manila envelope moment
15. 41:01The butterfly keyboard situation
16. 41:43Lessons from Apple on customer feedback
17. 44:46The memory price crisis coming for hardware
18. 49:31How many components go into a robot
19. 52:53When to use off-the-shelf vs. custom components
20. 55:02How AI is changing hardware engineering
21. 1:00:27Why humanoids aren’t the answer for most use cases
22. 1:03:05When robots will build other robots
23. 1:06:23What makes a robot feel human and connected
24. 1:09:15Robots in the home
25. 1:12:00What the next five years look like
26. 1:15:38Why she left OpenAI
27. 1:18:09How to hire exceptional hardware teams
28. 1:23:42Lessons from Steve Jobs, Mark Zuckerberg, and Sam Altman
29. 1:27:27Failure corner
30. 1:32:33Lightning round
05-10How to build a company that withstands any era | Eric Ries, Lean Startup author99 分钟
1. 00:00Introduction to Eric Ries
2. 02:26Introducing Incorruptible
3. 06:26Protecting what you’ve built
4. 11:35Why founders get ousted
5. 14:58Too early, too late
6. 19:32The blueprint: ethos plus integrity
7. 20:49Novo Nordisk’s 100-year governance fortress
8. 26:41The Vectura Group and Philip Morris
9. 33:16The “harder is easier” principle
10. 37:22Cloudflare’s mission emergence story
11. 42:43Groupon’s email frequency death spiral
12. 45:37How to define your purpose
13. 51:09Mission-driven vs. mission-hopeful companies
14. 54:46Integrity: structural and personal
15. 57:47Shareholder primacy: the 40-year-old “natural law”
16. 01:00:04Public benefit corporations: the easiest protection
17. 01:04:24Downsides and objections
18. 01:06:08The Anthropic example: fastest-growing company ever
19. 01:08:39The torchbearers in every organization
20. 01:10:37The culture bank: deposits and withdrawals
21. 01:12:28OpenAI and Anthropic governance
22. 01:16:21Mission guardians explained
23. 01:18:29Spiritual holding companies
24. 01:21:53The founder control trap
25. 01:25:25Three things to do this week
26. 01:30:10AI alignment and human alignment
27. 01:34:00Conway’s law: org charts in architecture
28. 01:37:31Book resources and farewell
05-03Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Head of Product, Notion)87 分钟
1. 00:00Introduction to Max Schoening
2. 01:55The origin story of designers coding at Notion
3. 06:30How much designers and PMs are shipping today
4. 08:24The balance between shipping code and strategic work
5. 10:32Why agency will help you thrive in the AI era
6. 11:49Examples of high agency at Notion
7. 13:52What we might lose as roles merge
8. 15:56Advice for developing agency
9. 17:42Malleable software explained
10. 20:43The Dieter Rams video and design philosophy
11. 24:00The SaaS apocalypse debate
12. 28:25How product building has changed in the past two years
13. 30:27What’s next in how we build products
14. 34:16Token spend and ROI conversations
15. 37:39Getting people to change how they work
16. 39:04Max’s AI stack
17. 41:41Which roles AI will transform next
18. 44:26When companies will start caring about ROI
19. 48:38Why Notion AI is so successful
20. 51:47How to ship more quickly while maintaining quality
21. 56:40Building taste through iterations
22. 1:00:09What matters most in building successful products
23. 1:05:06Using the jobs-to-be-done framework
24. 1:07:28Hot take on universal basic income
25. 1:09:26What Max would do with AGI
26. 1:10:53Contrarian corner
27. 1:13:14Failure corner
28. 1:16:20Advice for young people in Silicon Valley
29. 1:19:20Lightning round and final thoughts

2026 年 4 月

6 期

04-26Snapchat CEO: Why distribution has become the most important moat | Evan Spiegel70 分钟
1. 00:00Introduction to Evan Spiegel
2. 02:28Why consumer social products are so hard to build
3. 04:31How Snapchat cracked distribution with close friends, not network size
4. 05:50Why distribution is the new moat in the AI era
5. 08:39Snapchat’s innovation track record (and why software isn’t a moat)
6. 11:39Why Snap is betting on two of the hardest businesses: consumer social and hardwa
7. 16:00Specs use cases
8. 17:56The innovation process
9. 21:34The velocity of design work at Snapchat
10. 25:07Why Evan says you must talk to customers
11. 26:06The origin story of Stories
12. 28:25How screenshot detection saved early Snapchat
13. 31:03Why they waited to hire PMs—and what role they play now
14. 34:41How AI is shifting the designer-PM-engineer triad
15. 36:10Design as an intentional bottleneck for product cohesion
16. 37:24Why staying close to customers matters for any leader
17. 39:39What Evan looks for when hiring designers
18. 41:57How to develop young design talent
19. 44:16Designers shipping code with AI—and the guardrails needed at scale
20. 47:20Using jobs-to-be-done to organize AI transformation
21. 48:50How the CEO job has changed over 15 years
22. 51:30Learning to communicate
23. 54:08Why this year is Snapchat’s “crucible moment”
24. 56:22Being the “middle child” in tech
25. 57:51Screen-time philosophy with four kids (ages 2 to 15)
26. 1:01:08AI Corner
27. 1:04:02Contrarian Corner
28. 1:06:04Lightning round and final thoughts
04-23How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)86 分钟
1. 00:00Introduction to Cat Wu
2. 01:29Working with Boris Cherny
3. 04:29What Anthropic looks for when hiring PMs
4. 06:18How to help your teams move fast
5. 08:58How PRDs and roadmaps have evolved at Anthropic
6. 10:28The Mythos model and Anthropic’s shipping velocity
7. 11:54What happened with the Claude Code source code leak
8. 12:53Integrating with OpenClaw
9. 14:19How the PM team is structured at Anthropic
10. 15:42How engineer and PM roles are merging
11. 17:54Why product taste is the most valuable skill
12. 20:10Where human brains will continue to be useful
13. 22:23How to stay sane in constant chaos
14. 24:16What gets sacrificed when you ship so fast
15. 27:47The /powerup command
16. 28:32Why Anthropic has been so successful
17. 32:28When to use Claude Code vs. Desktop vs. Cowork
18. 35:58Tips for getting started with Cowork
19. 38:44Demo: Using Cowork to build slide decks overnight
20. 41:48Cat’s PM tech stack and internal tools
21. 46:47Which teams use the most tokens
22. 51:15The emerging skills PMs need for AI companies
23. 55:00Why building evals is underappreciated
24. 58:44Why Claude’s character and personality matter so much
25. 1:00:44How new models force product changes
26. 1:05:11The vision for Claude Code and Cowork
27. 1:07:22Advice for thriving in an AI-driven world
28. 1:09:18Why 95% automation isn’t good enough
29. 1:11:58Build apps you use every day, not prototypes
30. 1:13:41The divide between AI skeptics and believers
31. 1:15:19Lightning round
04-19Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google)95 分钟
1. 00:00Introduction to Nikhyl Singhal
2. 02:25The big picture: what’s changing for product managers
3. 10:00Are product leaders doing better than 2-3 years ago?
4. 11:44What will change in the next couple of years
5. 14:23How companies are changing the way they build products
6. 15:51What “judgment” really means for PMs
7. 17:46Why there won’t be any more bad software
8. 20:25The skills you need to be effective today
9. 23:31Why there are more PM roles than ever
10. 24:27The builder versus information-mover divide
11. 30:14The non-builder problem
12. 30:53Should PMs code?
13. 34:15Why experienced leaders still matter
14. 35:44The diversity setback nobody’s talking about
15. 37:21Why your brand doesn’t matter as much anymore
16. 39:54How valued skills are flipping upside down
17. 40:49Why change is so hard for humans
18. 43:53The “equal disappointment” algorithm
19. 46:39You must cross the threshold
20. 48:37This chaos will settle
21. 53:19Finding your moment of joy
22. 58:50Nikhyl’s AI stack and what he’s building
23. 1:00:53The obsolescence mindset
24. 1:05:24Specific advice for PMs right now
25. 1:08:58The four jobs that will exist in the future
26. 1:11:59Why alignment is changing (but not disappearing)
27. 1:15:40How engineering is changing even more than PM
28. 1:17:04The surprising design plateau
29. 1:18:49Finding optimism in the chaos
30. 1:21:12Lightning round
04-12Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)83 分钟
1. 00:00Introduction to Keith Rabois
2. 01:59Why Keith hasn’t used a computer since 2010
3. 04:52The team you build is the company you build
4. 07:40How Keith learned to identify talent at PayPal
5. 10:05Tactics for getting better at hiring
6. 15:31The barrels vs. ammunition framework
7. 18:52What makes someone a barrel
8. 22:36How to attract the best talent
9. 26:18Building companies on undiscovered talent
10. 27:53Why better performance requires more pressure
11. 32:36Career advice in the age of AI
12. 35:14The future of the product triad
13. 41:03Why design and code are merging
14. 49:35What practicing law taught Keith about entrepreneurship
15. 51:22Contrarian takes on customer feedback
16. 1:02:33Identifying great AI opportunities
17. 1:05:13Advice for evaluating statrups
18. 1:12:36Criticizing in public vs. private
19. 1:15:05Failure corner
20. 1:17:29Lightning round
04-05Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare113 分钟
1. 00:00Introduction to Amol and Anthropic’s growth
2. 03:15The story of cold emailing Mike Krieger to get the job
3. 08:28What it’s like leading growth at the fastest-growing company ever
4. 10:46What the growth team actually does at Anthropic
5. 12:16The concept of “success disasters”
6. 13:55Why activation is the biggest challenge in AI products
7. 18:05Improving Mercury’s onboarding experience
8. 20:57The importance of adding the right kind of friction
9. 25:10Anthropic’s org structure
10. 27:06Why Anthropic focuses on big bets over micro-optimizations
11. 33:34Automating growth experiments with Claude (CASH)
12. 38:20How AI is starting to identify what experiments to run
13. 41:07The future of PM, engineering, and design roles
14. 47:19Why you might need more PMs as engineers get more productive
15. 51:13How Amol uses AI to prototype ideas and skip PRDs
16. 58:10Amol’s morning routine: AI analyzes 20 to 25 charts automatically
17. 1:03:31Getting coaching from an AI version of your manager
18. 1:06:27How Anthropic’s focus on coding and B2B drove their success
19. 1:12:10Balancing growth with AI safety as a core mission
20. 1:18:09Advice for thriving in an AI-first future
21. 1:22:53Anthropic’s culture and the “notebook channels” on Slack
22. 1:35:12Failure corner: Shutting down his startup after raising money
23. 1:38:25The traumatic brain injury that changed everything
24. 1:46:49Lightning round
04-02An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon Willison100 分钟
1. 00:00Introduction to Simon Willison
2. 02:40The November 2025 inflection point
3. 08:01What’s possible now with AI coding
4. 10:42Vibe coding vs. agentic engineering
5. 13:57The dark-factory pattern
6. 20:41Where bottlenecks have shifted
7. 23:36Where human brains will continue to be valuable
8. 25:32Defending of software engineers
9. 29:12Why experienced engineers get better results
10. 30:48Advice for avoiding the permanent underclass
11. 33:52Leaning into AI to amplify your skills
12. 35:12Why Simon says he’s working harder than ever
13. 37:23The market for pre-2022 human-written code
14. 40:01Prediction: 50% of engineers writing 95% AI code by the end of 2026
15. 44:34The impact of cheap code
16. 48:27Simon’s AI stack
17. 54:08Using AI for research
18. 55:12The pelican-riding-a-bicycle benchmark
19. 59:01The inherent ridiculousness of AI
20. 1:00:52Hoarding things you know how to do
21. 1:08:21Red/green TDD pattern for better AI code
22. 1:14:43Starting projects with good templates
23. 1:16:31The lethal trifecta and prompt injection
24. 1:21:53Why 97% effectiveness is a failing grade
25. 1:25:19The normalization of deviance
26. 1:28:32OpenClaw: the security nightmare everyone is looking past
27. 1:34:22What’s next for Simon
28. 1:36:47Zero-deliverable consulting
29. 1:38:05Good news about Kakapo parrots

2026 年 3 月

6 期

03-29From skeptic to true believer: How OpenClaw changed my life | Claire Vo107 分钟
1. 00:00Introduction to Claire and OpenClaw
2. 08:00The journey from OpenClaw skeptic to believer
3. 11:50What OpenClaw actually does that’s useful
4. 13:35OpenClaw vs. other AI agent products
5. 17:05How to actually install OpenClaw: the basics
6. 18:49Setting up like you’d onboard a real assistant
7. 20:41Security and privacy considerations
8. 24:53Live demo: Installing OpenClaw step-by-step
9. 28:47Setting up Q: an agent for her kids’ homework
10. 34:08Understanding “soul,” “identity,” and “memory”
11. 40:40The unlock: multiple agents, not just one
12. 45:02How to run multiple agents on one machine
13. 47:28Jesse Genet’s homeschooling use case
14. 49:58Real examples and use cases
15. 56:41Finn, Claire’s family agent
16. 1:00:05Sage the Course Bot
17. 1:02:15Common issues and workarounds
18. 1:08:08The Exa/Perplexity web search workaround
19. 1:09:29Memory management and context overload
20. 1:12:09Pro tip: Screen sharing to manage Mac Minis
21. 1:14:18Using Google Workspace for agent collaboration
22. 1:16:24What makes OpenClaw special
23. 1:20:15The “yappers API” and ramble mode
24. 1:22:04Using Claude Code as your OpenClaw brain surgeon
25. 1:25:16Bringing management skills to AI agents
26. 1:29:32Why this matters
27. 1:32:37Lightning round and final thoughts
03-22The art of influence: The single most important skill that AI can’t replace | Jessica Fain (Webflow, ex-Slack)94 分钟
1. 00:00Introduction to Jessica Fain
2. 03:53Why influence is the highest-leverage skill in product
3. 04:47Why great ideas fail without executive buy-in
4. 06:00How executives actually think
5. 09:05The fundamentals: context-setting, communication, and empathy
6. 10:22Stop pitching for approval—start co-creating with execs
7. 12:59Influence vs. politics (and why people get it wrong)
8. 15:44How to disagree with execs without losing trust
9. 17:20Going in to learn, not to convince
10. 19:08How to present ideas
11. 26:05The Minto-style approach and tailoring your communication to each exec
12. 28:22Why Jessica doesn’t like the question “What’s top of mind for you?”
13. 30:24Understanding incentives to unlock buy-in
14. 32:10Aligning product work with company strategy
15. 35:10Quick summary
16. 37:31Disarming the executive
17. 40:49Speed matters: why fast follow-up builds momentum
18. 43:32How to run high-impact meetings (the 60-second rule)
19. 47:00Why influencing execs is part of your job
20. 49:15Asking for more resources and thinking in 10x bets
21. 52:23What to do when your idea gets rejected
22. 54:18Clarifying information
23. 56:50How to build trust and make ideas stick
24. 58:30Shrinking big ideas into experiments
25. 01:02:27Common mistakes people make when influencing leaders
26. 01:06:00How to grow into your next role
27. 01:09:32How AI is changing influence and product work
28. 01:17:55Using AI to simulate exec feedback and improve pitches
29. 01:21:15Protecting our brains from overwhelm
30. 01:22:44Lightning round and final thoughts
03-15The tactical playbook for getting 20-40% more comp (without sounding greedy) | Jacob Warwick (Executive Negotiator)115 分钟
1. 00:00Introduction to Jacob Warwick
2. 04:12How much comp people leave on the table
3. 07:52Why you shouldn’t feel greedy asking for more
4. 09:45What founders should know about negotiation
5. 13:03How Jacob works behind the scenes
6. 15:35The biggest mistakes people make when negotiating
7. 19:30Home-field advantage and controlling the conversation
8. 23:02The step-by-step approach to negotiating an offer
9. 30:17Jacob’s passion and why these tips don’t work on kids
10. 32:04Who should speak first about compensation
11. 35:36Understanding power
12. 39:52Breaking out of salary bands by focusing on pain points
13. 45:45Brief summary
14. 47:20Selling the vacation: How to visualize success
15. 50:07Controlling the narrative and planting seeds
16. 59:01Jacob’s role as hype man
17. 01:01:05Positioning yourself like a product
18. 01:02:49Making the process frictionless for hiring managers
19. 01:06:20Flipping the interview to extract information
20. 01:12:17Five tactical tips for negotiating comp
21. 01:21:45What to do when negotiations fall apart
22. 01:25:05Why negotiation is different for every individual
23. 01:28:55Why outcomes aren’t predetermined
24. 01:32:52Wild Hollywood negotiation stories
25. 01:37:35The first step you should take after getting an offer
26. 01:40:30Jacob’s personal mission
27. 01:44:42Lightning round and final thoughts
03-12How I built a 1M+ subscriber newsletter and top 10 tech podcast | Lenny Rachitsky67 分钟
1. 00:00Introduction and role reversal
2. 04:06What would Lenny be doing without the newsletter?
3. 07:20The moments that led to starting the newsletter
4. 09:58Does Lenny still enjoy the work?
5. 12:42Stress management and misophonia
6. 14:00The psychedelic trip that changed everything
7. 15:45Online happiness course and baseline optimization
8. 17:30Thunder round: Lenny’s misophonia worst sounds
9. 20:20What makes Michelle’s charts so shareable
10. 23:55Where chart ideas come from (and why meditation helps)
11. 26:59Where does “Lenny” come from?
12. 28:54Being recognized in public
13. 31:24Early projects
14. 36:30Michelle and Lenny’s yin and yang
15. 37:49Missing office culture (but not really)
16. 39:37Lenny’s face blindness
17. 40:47The $100M fraud attack story
18. 42:50Michelle’s childbirth emergency
19. 47:22Michelle’s creative process
20. 51:58Lenny’s favorite children’s books
21. 54:00Product management lessons in parenting
22. 55:31Defining product management in five words
23. 58:23Why Michelle pivoted to children’s books
24. 01:01:30The power of iteration and real experience
03-08The most successful AI company you’ve never heard of | Qasar Younis84 分钟
1. 00:00Introduction to Qasar and Applied Intuition
2. 04:01The optimistic vision: How AI will create abundance
3. 08:49Why anxiety about AI comes from misunderstanding—and how to fight fear with know
4. 12:58The market sell-off explained
5. 16:31Self-driving cars: Why 30,000 annual deaths prove we need autonomy now
6. 20:22The spectrum of physical AI
7. 28:00How AI is coming just in time
8. 33:26Why comparing Chinese AI companies to American AI companies is a category error
9. 39:12Why Qasar finally joined Twitter after staying silent for a decade
10. 45:08Why successful companies almost always show early signs of traction
11. 50:40Applied Intuition’s core values
12. 56:00Why the company cleans its own office—and never spent a dollar of raised capital
13. 58:50Quasar’s reading philosophy
14. 01:06:14How to operationalize listening to naysayers
15. 01:12:53The importance of decisiveness
16. 01:14:55Removing emotions from decisions
17. 01:19:02Why most Silicon Valley CEOs don’t have great taste—and how to develop it
03-01The design process is dead. Here’s what’s replacing it. | Jenny Wen (head of design at Claude)77 分钟
1. 00:00Introduction to Jenny Wen
2. 04:23Why the traditional design process is dead
3. 06:33The two new types of design work
4. 10:00How widespread this shift will be
5. 13:00Day-to-day life as a designer at Anthropic
6. 18:45Jenny’s AI stack
7. 20:03Why Figma still matters for exploration
8. 22:25Advice for working with engineers
9. 24:19How to maintain craft, quality, and trust in the AI era
10. 27:35Will AI ever have “taste”?
11. 31:38The future of chatbot interfaces
12. 35:33Moving from director back to IC
13. 41:00The 10-day build of Claude Cowork
14. 46:06Hiring: the three archetypes
15. 50:44Advice for new and senior designers
16. 54:42The value of “low leverage” tasks for managers
17. 57:52Why the best teams roast each other
18. 01:01:45The legibility framework
19. 01:07:22Lightning round and final thoughts

2026 年 2 月

6 期

02-26AI is critical for humanity’s survival: Cisco president on the AI revolution | Jeetu Patel87 分钟
1. 00:00Introduction and welcome
2. 04:15Insights from Cisco’s Al summit
3. 08:45Transforming Cisco into an Al-first company
4. 15:33What Cisco actually does in the Al infrastructure stack
5. 19:09The future of Al
6. 24:36Raising kids in the AI era
7. 29:46“Permission to play” framework
8. 36:50Lessons from great CEOs
9. 42:02Leading at scale
10. 50:54Why Jeetu inverts the ‘praise in public, criticize in private’ rule
11. 57:45Surrounding yourself with good human beings
12. 58:35Lessons from loss
13. 01:03:21Career advice: platforms, hunger, and preparation
14. 01:10:21The six-part framework for building great companies
15. 01:19:05Lightning round and final thoughts
02-19Head of Claude Code: What happens after coding is solved | Boris Cherny88 分钟
1. 00:00Introduction to Boris and Claude Code
2. 03:45Why Boris briefly left Anthropic for Cursor (and what brought him back)
3. 05:35One year of Claude Code
4. 08:41The origin story of Claude Code
5. 13:29How fast AI is transforming software development
6. 15:01The importance of experimentation in AI innovation
7. 16:17Boris’s current coding workflow (100% AI-written)
8. 17:32The next frontier
9. 22:24The downside of rapid innovation
10. 24:02Principles for the Claude Code team
11. 26:48Why you should give engineers unlimited tokens
12. 27:55Will coding skills still matter in the future?
13. 32:15The printing press analogy for AI’s impact
14. 36:01Which roles will AI transform next?
15. 40:41Tips for succeeding in the AI era
16. 44:37Poll: Which roles are enjoying their jobs more with AI
17. 46:32The principle of latent demand in product development
18. 51:53How Cowork was built in just 10 days
19. 54:04The three layers of AI safety at Anthropic
20. 59:35Anxiety when AI agents aren’t working
21. 01:02:25Boris’s Ukrainian roots
22. 01:03:21Advice for building AI products
23. 01:08:38Pro tips for using Claude Code effectively
24. 01:11:16Thoughts on Codex
25. 01:12:13Boris’s post-AGI plans
26. 01:14:02Lightning round and final thoughts
02-15Sequoia CEO coach: Why it’s never been easier to start a company, and never been harder to scale one | Brian Halligan (co-founder, HubSpot)75 分钟
1. 00:00Introduction to Brian Halligan
2. 03:56The perpetual state of constructive dissatisfaction
3. 05:25Coaching CEOs
4. 07:49The art of interviewing and hiring
5. 11:21Getting the most out of reference calls
6. 13:10Homegrown talent vs. big company hires
7. 16:31Traits of successful CEOs
8. 19:40Brian’s LOCKS framework for evaluating founders
9. 21:34Are great CEO’s born or made?
10. 23:41Giving effective feedback
11. 25:54The future of go-to-market strategies
12. 31:56Understanding forward deployed engineers
13. 34:17How the CEO role has evolved over the last 20 years
14. 38:10Halliganisms
15. 01:01:18The CEO’s role in scaling a company
16. 01:02:41Lightning round and final thoughts
02-12“Engineers are becoming sorcerers” | The future of software development with OpenAI’s Sherwin Wu80 分钟
1. 00:00Introduction to Sherwin Wu
2. 03:10AI’s role in coding at OpenAI
3. 06:53The future of software engineering with AI
4. 12:26The stress of managing agents
5. 15:07Codex and code review automation
6. 19:29The changing role of engineering managers
7. 24:14The one-person billion-dollar startup
8. 31:40Management lessons
9. 37:28Challenges and best practices in AI deployment
10. 43:56Hot takes on AI and customer feedback
11. 48:57Building for future AI capabilities
12. 50:16Where models are headed in the next 18 months
13. 53:35Business process automation
14. 57:22OpenAI’s ecosystem and platform strategy
15. 01:00:50OpenAI’s mission and global impact
16. 01:05:21Building on OpenAI’s API and tools
17. 01:08:16Lightning round and final thoughts
02-08The rise of the professional vibe coder (a new AI-era job) | Lazar Jovanovic (Professional Vibe Coder)103 分钟
1. 00:00Introduction to Lazar and professional vibe coding
2. 04:53What a professional vibe coder actually does day-to-day
3. 09:26Why non-technical backgrounds can be an advantage
4. 12:24The importance of self-awareness
5. 14:42His “genie and three wishes” mental model
6. 17:43Developing taste and judgment in the age of AI
7. 21:46The parallel project approach for better outcomes
8. 29:30Creating dynamic context windows with PRDs
9. 36:56Why elite vibe coders focus on planning, not coding
10. 44:43Creating MD files to guide AI development
11. 50:57Why prototyping still matters
12. 56:50Why “good enough” is no longer good enough
13. 01:00:53The future of engineering in an AI world
14. 01:05:14What to do when you get stuck: his 4x4 debugging workflow
15. 01:14:27Helping agents learn from their mistakes
16. 01:15:35Why watching agent output is more important than code
17. 01:19:08The incredible pace of AI development
18. 01:22:55Why emotional intelligence will become more valuable
19. 01:28:30How to become a professional vibe coder
20. 01:30:10Why building in public is the fastest path to opportunities
21. 01:37:03Final thoughts on focusing on quality over tech stack
02-01A child psychologist’s guide to working with difficult adults | Dr. Becky Kennedy92 分钟
1. 00:00Introduction to Dr. Becky Kennedy
2. 05:14Connecting parenting and leadership
3. 08:40The power of repair
4. 11:05Connecting before correcting
5. 17:45Good Inside framework at work
6. 22:08The most generous interpretation (MGI)
7. 25:46Curiosity over judgment
8. 27:07Understanding behavior change
9. 31:08What potty training can teach us about workplace behavior
10. 34:40Naming your intention
11. 35:41Sturdy leadership
12. 40:52How to set boundaries well
13. 46:33The role of leadership and consensus
14. 50:50The importance of being “locatable”
15. 52:40A powerful story of betrayal and realization
16. 57:12Building resilience over happiness
17. 01:00:34The power of the phrase “I believe you, and I believe in you.”
18. 01:09:08The Good Inside community and resources
19. 01:16:22AI corner
20. 01:19:52Good Inside’s mission
21. 01:22:26Lightning round and final thoughts

2026 年 1 月

7 期

01-29Marc Andreessen: The real AI boom hasn’t even started yet105 分钟
1. 00:00Introduction to Marc Andreessen
2. 04:27The historic moment we’re living in
3. 06:52The impact of AI on society
4. 11:14AI’s role in education and parenting
5. 22:15The future of jobs in an AI-driven world
6. 30:15Marc's past predictions
7. 35:35The Mexican standoff of tech roles
8. 39:28Adapting to changing job tasks
9. 42:15The shift to scripting languages
10. 44:50The importance of understanding code
11. 51:37The value of design in the AI era
12. 53:30The T-shaped skill strategy
13. 01:02:05AI’s impact on founders and companies
14. 01:05:58The concept of one-person billion-dollar companies
15. 01:08:33Debating AI moats and market dynamics
16. 01:14:39The rapid evolution of AI models
17. 01:18:05Indeterminate optimism in venture capital
18. 01:22:17The concept of AGI and its implications
19. 01:30:00Marc's media diet
20. 01:36:18Favorite movies and AI voice technology
21. 01:39:24Marc's product diet
22. 01:43:16Closing thoughts and recommendations
01-255 questions to ask when your product stops growing | Jason Cohen (2x unicorn founder)106 分钟
1. 00:00Introduction to Jason Cohen
2. 05:19Jason’s writing journey
3. 08:25Questions to ask when your product stops growing
4. 18:17Getting real customer feedback
5. 20:27Analyzing cancellation reasons
6. 26:54Onboarding and activation
7. 29:35Quick summary
8. 35:46Revisiting pricing strategies
9. 41:46Positioning strategies
10. 47:52Why pricing is inseparable from your strategy
11. 52:06The importance of net revenue retention (NRR)
12. 01:00:25Asking whether or not this is good for the customer
13. 01:04:34Leveraging existing customers
14. 01:06:42Are your acquisition channels saturated? The “elephant curve”
15. 1:09:41Why all marketing channels eventually decline
16. 01:12:04Direct vs. indirect marketing channels
17. 1:13:36Getting creative with new channels
18. 01:19:04Do you actually need to grow?
19. 01:25:57Deciding when to quit
20. 01:29:27Book announcement
21. 01:33:21AI corner
22. 01:34:35Contrarian corner
23. 01:37:43Lightning round and final thoughts
01-18The non-technical PM’s guide to building with Cursor | Zevi Arnovitz (Meta)75 分钟
1. 00:00Introduction to Zevi Arnovitz
2. 04:48Zevi’s background and journey into AI
3. 07:41Overview of Zevi’s AI workflow
4. 14:41Screenshare: Exploring Zevi’s workflow in detail
5. 17:18Building a feature live: StudyMate app
6. 30:52Executing the plan with Cursor
7. 38:32Using multiple AI models for code review
8. 40:40Personifying AI models
9. 43:37Peer review process
10. 45:40The importance of postmortems
11. 51:05Integrating AI in large companies
12. 53:42How AI has impacted the PM role
13. 57:02How to improve AI outputs
14. 58:15AI-assisted job interviews
15. 01:02:57Failure corner
16. 01:06:20Lightning round and final thoughts
01-15How to show up in any room with a low heart rate: Silicon Valley’s missing etiquette playbook | Sam Lessin87 分钟
1. 00:00Sam’s background
2. 04:18The role of etiquette in business success
3. 09:30Introductions and entering a room
4. 16:20Engaging conversations and building relationships
5. 23:55Hygiene and dress code essentials
6. 33:42Dining etiquette
7. 37:15Tipping etiquette
8. 41:36The “B&D trick”
9. 43:05Humor in social settings
10. 45:18Self-deprecating humor
11. 47:42Winding down conversations
12. 49:20Scheduling etiquette
13. 55:23Communication and email etiquette
14. 01:02:28Meeting etiquette tips
15. 01:04:03Virtual meeting best practices
16. 01:05:15The importance of cleaning up after yourself
17. 01:05:58Exiting and follow-up etiquette
18. 01:07:24Final thoughts
19. 01:09:20AI corner
20. 01:11:13Contrarian corner
21. 01:16:25Lightning round
01-11Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google, and Amazon86 分钟
1. 00:00Introduction to Aishwarya and Kiriti
2. 05:03Challenges in AI product development
3. 07:36Key differences between AI and traditional software
4. 13:19Building AI products: start small and scale
5. 15:23The importance of human control in AI systems
6. 22:38Avoiding prompt injection and jailbreaking
7. 25:18Patterns for successful AI product development
8. 33:20The debate on evals and production monitoring
9. 41:27Codex team’s approach to evals and customer feedback
10. 45:41Continuous calibration, continuous development (CC/CD) framework
11. 58:07Emerging patterns and calibration
12. 01:01:24Overhyped and under-hyped AI concepts
13. 01:05:17The future of AI
14. 01:08:41Skills and best practices for building AI products
15. 01:14:04Lightning round and final thoughts
01-04The high-growth handbook: Molly Graham’s frameworks for leading through chaos, change, and scale92 分钟
1. 00:00Introduction to Molly Graham
2. 04:28Molly’s background at Google, Facebook, Quip, and CZI
3. 11:29The “Give away your Legos” framework
4. 16:44Managing your inner monster
5. 19:49When not to give away your Legos
6. 21:28Embracing a long career
7. 23:25The J-curve vs. stairs approach to career growth
8. 32:00The gift of knowing yourself
9. 34:28Learning to be a professional idiot
10. 38:30The waterline model: snorkel before you scuba
11. 47:16Six rules for creating strong alignment around goals
12. 57:15Rules of thumb for leading through rapid scale
13. 01:07:49Investing in high performers vs. low performers
14. 01:10:54Lessons from Zuckerberg, Sandberg, and Bret Taylor
15. 1:21:15Pivoting from ambition to purpose
16. 1:26:32Finding stability in instability
17. 01:29:44Final thoughts
01-01We replaced our sales team with 20 AI agents—here’s what happened | Jason Lemkin (SaaStr)102 分钟
1. 00:00Introduction to Jason Lemkin
2. 04:36What SaaStr does
3. 07:13AI’s impact on sales teams
4. 10:11How SaaStr's AI agents work and their performance
5. 14:18How go-to-market is changing in the AI era
6. 19:19The future of SDRs, BDRs, and AEs in sales
7. 22:03Why leadership roles are safe
8. 23:43How to be in the 20% who thrive in the AI sales future
9. 28:40Why you shouldn't build your own AI tools
10. 30:10Specific AI agents and their applications
11. 36:40Challenges and learnings in AI deployment
12. 42:11Making AI-generated emails good (not just acceptable)
13. 47:31When humans still beat AI in sales
14. 52:39An overview of SaaStr's org
15. 53:50The role of human oversight in AI operations
16. 58:37Advice for salespeople and founders in the AI era
17. 01:05:40Forward-deployed engineers
18. 01:08:08What's changing and what's staying the same in sales
19. 01:16:21Why AI is creating more work, not less
20. 01:19:32Why Jason says these are magical times
21. 01:25:25The "incognito mode test" for finding AI opportunities
22. 01:27:19The impact of AI on jobs
23. 01:30:18Lightning round and final thoughts

2025 年 12 月

6 期

12-2810 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling)96 分钟
1. 00:00Introduction to Matt MacInnis and Rippling
2. 04:38The importance of extraordinary efforts
3. 08:37The challenges and rewards of relentless effort
4. 10:11Your job as a leader is to preserve intensity
5. 12:39You learn far more from success than failure
6. 16:34Transitioning to chief product officer
7. 19:54Fixing product management at Rippling
8. 25:27The “high alpha, low beta” framework
9. 28:55The PQL framework
10. 35:16Hiring frameworks and team dynamics
11. 36:52A helpful interview tactic
12. 40:00Leading as a COO vs. a CPO
13. 42:34The reality of product-market fit
14. 46:38The problem with venture capital
15. 49:29When founders should quit their startups
16. 41:48The immutable market
17. 54:13Lessons from Notion’s success
18. 57:43Investment strategies and narrative violations
19. 01:00:42The power of compounding, power law, and entropy
20. 01:07:02Maintaining intensity and fighting entropy
21. 01:11:33The importance of feedback and escalations
22. 01:14:31Rippling’s vision and success
23. 01:17:48AI’s impact on SaaS and business software
24. 01:23:42AI corner
25. 01:26:23Final thoughts and lightning round
12-21The coming AI security crisis (and what to do about it) | Sander Schulhoff93 分钟
1. 00:00Introduction to Sander Schulhoff and AI security
2. 05:14Understanding AI vulnerabilities
3. 11:42Real-world examples of AI security breaches
4. 17:55The impact of intelligent agents
5. 19:44The rise of AI security solutions
6. 21:09Red teaming and guardrails
7. 23:44Adversarial robustness
8. 27:52Why guardrails fail
9. 38:22The lack of resources addressing this problem
10. 44:44Practical advice for addressing AI security
11. 55:49Why you shouldn’t spend your time on guardrails
12. 59:06Prompt injection and agentic systems
13. 01:09:15Education and awareness in AI security
14. 01:11:47Challenges and future directions in AI security
15. 01:17:52Companies that are doing this well
16. 01:21:57Final thoughts and recommendations
12-18The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth)92 分钟
1. 00:00Introduction to Elena Verna
2. 05:19The scale and growth of Lovable
3. 08:55Confidence in Lovable as a business
4. 12:17Retention at Lovable
5. 15:02Lovable’s unique growth levers
6. 28:13The role of marketing in Lovable’s success
7. 38:09Launching new features
8. 40:59Hiring and team dynamics
9. 43:17The value of vibe coding
10. 49:46The importance of community
11. 51:47Giving away your product for free
12. 56:26Tripling their company size
13. 01:00:23Product-market-fit challenges
14. 01:08:50Advice for joining AI companies
15. 01:12:00Work-life balance
16. 01:15:20What it’s like to work at Lovable
17. 01:19:45Women in tech
18. 01:25:29Final thoughts and lightning round
12-14Why humans are AI’s biggest bottleneck (and what’s coming in 2026) | Alexander Embiricos (OpenAI Codex Product Lead)85 分钟
1. 00:00Introduction to Alexander Embiricos
2. 05:13The speed and ambition at OpenAI
3. 11:34Codex: OpenAI’s coding agent
4. 15:43Codex’s explosive growth
5. 24:59The future of AI and coding agents
6. 33:11The impact of AI on engineering
7. 44:08How Codex has impacted the way PMs operate
8. 45:40Throwaway code and ubiquitous coding
9. 47:10Shipping the Sora Android app
10. 49:01Building the Atlas browser
11. 53:34Codex’s impact on productivity
12. 55:35Measuring progress on Codex
13. 58:09Why they are building a web browser
14. 01:01:58Non-engineering use cases for Codex
15. 01:02:53Codex’s capabilities
16. 01:04:49Tips for getting started with Codex
17. 01:05:37Skills to lean into in the AI age
18. 01:10:36How far are we from a human version of AI?
19. 01:13:31Hiring and team growth at Codex
20. 01:15:47Lightning round and final thoughts
12-07The 100-person AI lab that became Anthropic and Google's secret weapon | Edwin Chen (Surge AI)71 分钟
1. 00:00Introduction to Edwin Chen
2. 04:48AI’s role in business efficiency
3. 07:08Building a contrarian company
4. 08:55An explanation of what Surge AI does
5. 09:36The importance of high-quality data
6. 13:31How Claude Code has stayed ahead
7. 17:37Edwin’s skepticism toward benchmarks
8. 21:54AGI timelines and industry trends
9. 28:33The Silicon Valley machine
10. 33:07Reinforcement learning and future AI training
11. 39:37Understanding model trajectories
12. 41:11How models have advanced and will continue to advance
13. 42:55Adapting to industry needs
14. 44:39Surge’s research approach
15. 48:07Predictions for the next few years in AI
16. 50:43What’s underhyped and overhyped in AI
17. 52:55The story of founding Surge AI
18. 01:02:18Lightning round and final thoughts
12-04Why LinkedIn is turning PMs into AI-powered "full stack builders” | Tomer Cohen (LinkedIn CPO)68 分钟
1. 00:00Introduction to Tomer Cohen
2. 04:42The need for change in product development
3. 11:52The full-stack builder model explained
4. 16:03Implementing AI and automation in product development
5. 19:17Building and customizing AI tools
6. 27:51The timeline to launch
7. 31:46Pilot program and early results
8. 37:04Feedback from top talent
9. 39:48Change management and adoption
10. 46:53Encouraging people to play with AI tools
11. 41:21Performance reviews and full-stack builders
12. 48:00Challenges and specialization
13. 50:05Finding talent
14. 52:46Tips for implementing in your own company
15. 56:43Lightning round and final thoughts

2025 年 11 月

7 期

11-30What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google)86 分钟
1. 00:00Introduction to Jeanne DeWitt Grosser
2. 05:26Defining go-to-market
3. 08:43The evolution of go-to-market roles
4. 11:23The rise of the go-to-market engineer
5. 14:21Implementing AI in sales processes
6. 15:28Optimizing sales with AI agents
7. 23:47Defining sales roles: SDRs and AEs
8. 26:04When to hire a GTM engineer
9. 29:04Hiring and scaling sales teams
10. 30:50The ideal go-to-market engineer
11. 34:24The go-to-market tool stack
12. 40:39Advice on building a great sales bot
13. 44:34Vercel’s unfair advantage
14. 46:37Go-to-market as a product
15. 47:04Innovative sales tactics at Stripe
16. 52:38Effective go-to-market tactics
17. 01:00:37Segmentation strategies
18. 01:09:31Building a sales org that engineers love
19. 01:14:00Thoughts on PLG and pricing
20. 01:16:44Sales compensation and hiring
21. 01:19:24Lightning round and final thoughts
11-23A guide to difficult conversations, building high-trust teams, and designing a life you love | Rachel Lockett105 分钟
11-20Slack founder: Mental models for building products people love ft. Stewart Butterfield91 分钟
1. 00:00Introduction to Stewart Butterfield
2. 04:58Stewart’s current life and reflections
3. 06:44Understanding utility curves
4. 10:13The concept of divine discontent
5. 15:11The importance of taste in product design
6. 19:03Tilting your umbrella
7. 28:32Balancing friction and comprehension
8. 45:07The value of constant dissatisfaction
9. 47:06Embracing continuous improvement
10. 50:03The complexity of making things work
11. 54:27Parkinson’s law and organizational growth
12. 01:03:17Hyper-realistic work-like activities
13. 01:13:23Advice on when to pivot
14. 01:18:36The importance of generosity in leadership
15. 01:26:34The owner’s delusion
11-16The Godmother of AI on jobs, robots, and why world models are next | Dr. Fei-Fei Li80 分钟
1. 00:00Introduction to Dr. Fei-Fei Li
2. 05:31The evolution of AI
3. 09:37The birth of ImageNet
4. 17:25The rise of deep learning
5. 23:53The future of AI and AGI
6. 29:51Introduction to world models
7. 40:45The bitter lesson in AI and robotics
8. 48:02Introducing Marble, a revolutionary product
9. 51:00Applications and use cases of Marble
10. 01:01:01The founder’s journey and insights
11. 01:10:05Human-centered AI at Stanford
12. 01:14:24The role of AI in various professions
13. 01:18:16Conclusion and final thoughts
11-13“Dumbest idea I’ve heard” to $100M ARR: Inside the rise of Gamma | Grant Lee (CEO)114 分钟
1. 00:00Introduction to Grant Lee and Gamma
2. 05:59The founding story of Gamma
3. 09:52Achieving product-market fit
4. 15:43Self-awareness as a founder
5. 17:17The power of onboarding
6. 20:41The original insight that led to Gamma
7. 22:42Founder-led marketing and growth tactics
8. 29:20Sharing online
9. 37:40Getting to $100M ARR
10. 41:19Influencer marketing as a growth strategy
11. 54:08Virality is not an accident
12. 58:30Investing in brand before paid ads
13. 01:02:04Tips for getting started with performance marketing
14. 01:04:49Prototyping and user feedback
15. 01:16:12Adapting and moving quickly
16. 01:19:21The concept of GPT wrapper companies
17. 01:22:16Deep dive into workflow and model utilization
18. 01:29:06Pricing strategies
19. 01:34:53Hiring philosophy and practices
20. 01:43:24Betting big on high performers
21. 01:45:03Final thoughts and lightning round
11-09"Sell the alpha, not the feature": The enterprise sales playbook for $1M to $10M ARR | Jen Abel82 分钟
1. 00:00Welcome back, Jen!
2. 04:38The myth of the mid-market
3. 08:08Targeting tier-one logos
4. 10:50Vision-casting vs. problem-selling
5. 15:35The importance of high ACVs
6. 20:45Don’t play the small business game with an enterprise company
7. 25:09Design partners: the double-edged sword
8. 28:11Finding the right company
9. 36:55Enterprise sales: the art of the deal
10. 43:21The problem with channel partnerships
11. 44:41Quick summary
12. 50:24Hiring the right enterprise salespeople
13. 56:49Structuring sales compensation
14. 01:01:01Building relationships in enterprise sales
15. 01:02:07The art of cold outreach
16. 01:07:31Outbound tooling and AI
17. 01:14:08Lightning round and final thoughts
11-02The woman behind Canva shares how she built a $42B company from nothing | Melanie Perkins66 分钟
1. 00:00Introduction to Melanie Perkins and Canva
2. 04:44Building a “column B” company
3. 06:36Operationalizing big visions
4. 13:13Crazy big goals and celebrations
5. 22:00Challenges and setbacks in Canva’s journey
6. 26:30Fundraising and investor rejections
7. 29:36Leadership and growth lessons
8. 34:38Canva’s goal-driven structure
9. 35:46Balancing work and personal life
10. 38:02Community-driven product development
11. 40:37The two-step plan for global impact
12. 45:04Canva’s biggest launch yet
13. 48:10How Canva approaches product expansion
14. 52:37AI integration in Canva
15. 53:56AI corner
16. 55:22Melanie’s vision for 2050 and beyond
17. 01:00:07Lightning round and final thoughts

2025 年 10 月

7 期

10-26How Block is becoming the most AI-native enterprise in the world | Dhanji R. Prasanna87 分钟
1. 00:00Introduction to Dhanji
2. 05:26The AI manifesto: convincing Jack Dorsey
3. 07:33Transforming into a more AI-native company
4. 12:05How engineering teams work differently today
5. 15:24Goose: Block’s open-source AI agent
6. 20:18Measuring AI productivity gains across teams
7. 21:38What Goose is and how it works
8. 32:15The future of AI in engineering and productivity
9. 37:42The importance of human taste
10. 40:10Building vs. buying software
11. 44:08How AI is changing hiring and team structure
12. 53:45The importance of using AI tools yourself before deploying them
13. 55:13How Goose helped solve a personal problem with receipts
14. 58:01What makes Goose unique
15. 59:57What Dhanji wishes he knew before becoming CTO
16. 01:01:49Counterintuitive lessons in product development
17. 01:04:56Why controlled chaos can be good for engineering teams
18. 01:08:07Core leadership lessons
19. 01:13:36Failure corner
20. 01:15:50Lightning round and final thoughts
10-23Al Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix)83 分钟
1. 00:00Introduction to Chip Huyen
2. 04:28Chip’s viral LinkedIn post
3. 07:05Understanding AI training: pre-training vs. post-training
4. 08:50Language modeling explained
5. 13:55The importance of post-training
6. 15:20Reinforcement learning and human feedback
7. 22:23The importance of evals in AI development
8. 31:55Retrieval augmented generation (RAG) explained
9. 38:50Challenges in AI tool adoption
10. 43:19Challenges in measuring productivity
11. 45:20The three-bucket test
12. 49:10The future of engineering roles
13. 55:31ML Engineers vs. AI engineers
14. 57:12Looking forward: the impact of AI
15. 01:05:48Model capabilities vs. perceived performance
16. 01:08:23Lightning round and final thoughts
10-19How to measure AI developer productivity in 2025 | Nicole Forsgren68 分钟
1. 00:00Introduction to Nicole Forsgren
2. 05:09The concept of developer experience (DevEx)
3. 08:33Flow state and cognitive load in the age of AI
4. 12:02Challenges in measuring productivity with AI
5. 21:19The importance of developer experience for business value
6. 22:20Common issues and solutions in developer experience
7. 26:49Signs your eng team is moving too slow
8. 29:52How AI is improving productivity
9. 33:32Real examples of productivity improvements
10. 36:35Introducing her new book, Frictionless
11. 43:40How to get started building a DevEx team
12. 45:15The impact of forming developer experience teams
13. 46:15How to measure the impact of DevEx teams
14. 48:53Measuring the impact of AI tools on productivity
15. 55:16Survey design for developer experience
16. 57:59Popular AI tools for developers
17. 59:08Bringing a product mindset to DevEx improvements
18. 01:00:40AI corner
19. 01:02:33Lightning round and final thoughts
10-16Figma’s CEO: Why AI makes design, craft, and quality the new moat for startups | Dylan Field87 分钟
1. 00:00Introduction to Dylan Field
2. 03:58The Adobe deal fallout
3. 05:50Maintaining team morale post-deal
4. 09:13Strategies for sustaining high performance
5. 13:37Maintaining Figma’s unique company culture
6. 16:22Dylan’s leadership evolution
7. 21:03How to improve clarity as a leader
8. 24:40The controversy behind FigJam
9. 31:06Lessons from expanding Figma’s core product line
10. 39:32Time-to-value
11. 45:14Introduction to Figma Make
12. 48:26AI app prototyping and the future of Figma Make
13. 53:38Lessons from Figma’s AI product launch
14. 57:47The importance of craft
15. 59:54Developing good taste
16. 01:05:35The future of product development
17. 01:10:32Why AI won’t steal your job
18. 01:14:37AI corner
19. 01:18:32Lightning round and final thoughts
10-10Inside Google's AI turnaround: The rise of AI Mode, strategy behind AI Overviews, and their vision for AI-powered search | Robby Stein (VP of Product, Google Search)82 分钟
10-09First interview with Scale AI’s CEO: $14B Meta deal, what’s working in enterprise AI, and what frontier labs are building next | Jason Droege84 分钟
1. 00:00Introduction to Jason Droege
2. 06:01Jason’s early career and lessons learned
3. 10:27The current state of Scale AI
4. 12:37The shift to expert data labeling
5. 17:02Challenges and strategies in finding experts
6. 18:48Reinforcement learning and AI environments
7. 28:18The future of AI and human involvement
8. 31:21The role of evals
9. 35:25What AI models will look like in the next few years
10. 41:43Building Uber Eats and understanding customer needs
11. 48:19The importance of independent thinking
12. 50:45Setting high standards for new businesses
13. 53:03Exploring and selecting business ideas
14. 57:07The McDonald’s story
15. 01:00:13The role of gross margins in business feasibility
16. 01:04:49Why Jason says, “Not losing is a precursor to winning”
17. 01:09:12Hiring and building teams
18. 01:12:11AI corner
19. 01:14:47Lightning round and final thoughts
10-05How to find hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com)85 分钟

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