Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

In his first in-depth interview since taking over as Scale AI CEO, Jason Droege shares: 🔸 What actually happened with Meta’s $14 billion investment 🔸 Where frontier labs are heading next 🔸 Why most enterprise data is useless for AI models 🔸 What it takes to keep making AI...

lennysan's profile picture

Lenny Rachitsky

358,288 subscribers

96,885 görüntüleme • 11 ay önce •via X (Twitter)

EğitimBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. Our goal with this conversation is to save you and your team a lot of pain and suffering while building your AI products. We discuss: 🔸 Two key ways AI products differ from traditional software 🔸 Common patterns and anti-patterns when building successful AI products 🔸 Their framework for iteratively building AI products 🔸 Why evals aren’t a cure-all 🔸 Why obsessing about customer trust and reliability is an underrated driver of successful AI products 🔸 The skills that matter most for builders in the AI era Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Strella — The AI-powered customer research platform: 🏆 Brex — The banking solution for startups:
1:32

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon Aish and Kiriti Badam have built 50+ enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. Our goal with this conversation is to save you and your team a lot of pain and suffering while building your AI products. We discuss: 🔸 Two key ways AI products differ from traditional software 🔸 Common patterns and anti-patterns when building successful AI products 🔸 Their framework for iteratively building AI products 🔸 Why evals aren’t a cure-all 🔸 Why obsessing about customer trust and reliability is an underrated driver of successful AI products 🔸 The skills that matter most for builders in the AI era Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: 🏆 Strella — The AI-powered customer research platform: 🏆 Brex — The banking solution for startups:

Lenny Rachitsky

176,860 görüntüleme • 7 ay önce

What is famed child psychologist Dr. Becky doing on Lenny's Podcast? There's a surprisingly large overlap between great parenting and great leadership. As Shreyas Doshi often says, "most adults are babies in disguise." In our very unique conversation, we discuss: 🔸 What it looks like to be a “sturdy” leader 🔸 The power of “I believe you" and "I believe in you” 🔸 Why repair—not perfection—defines strong leadership 🔸 The “most generous interpretation” framework for handling difficult behaviors 🔸 How to correctly set boundaries (vs. making requests) 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — Fast, secure integrations for your products and agents: 🏆 Metaview — The AI platform for recruiting: 🏆 Framer — Builder better websites faster:
1:08

What is famed child psychologist Dr. Becky doing on Lenny's Podcast? There's a surprisingly large overlap between great parenting and great leadership. As Shreyas Doshi often says, "most adults are babies in disguise." In our very unique conversation, we discuss: 🔸 What it looks like to be a “sturdy” leader 🔸 The power of “I believe you" and "I believe in you” 🔸 Why repair—not perfection—defines strong leadership 🔸 The “most generous interpretation” framework for handling difficult behaviors 🔸 How to correctly set boundaries (vs. making requests) 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — Fast, secure integrations for your products and agents: 🏆 Metaview — The AI platform for recruiting: 🏆 Framer — Builder better websites faster:

Lenny Rachitsky

98,226 görüntüleme • 7 ay önce

From managing people to managing AI with Julie Zhuo (Julie Zhuo) In a very special episode, my first-ever podcast guest returns (3 years and over 30M downloads later!) to explain why everyone's about to become a manager—of AI. Spoiler: The skills that make you a great manager also make you great at AI. In our conversation, we discuss: 🔸 The three core manager skills that translate directly to working with AI tools 🔸 Why her startup has zero PMs 🔸 How her team at Sundial uses AI to learn new skills 10x faster 🔸 The “diagnose with data, treat with design” framework for balancing instinct and data 🔸 How to give feedback that actually lands—including Julie’s exact script for difficult conversations Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury—The art of simplified finances: 🏆 DX—The developer intelligence platform designed by leading researchers: 🏆 PostHog—How developers build successful products:
1:29

From managing people to managing AI with Julie Zhuo (Julie Zhuo) In a very special episode, my first-ever podcast guest returns (3 years and over 30M downloads later!) to explain why everyone's about to become a manager—of AI. Spoiler: The skills that make you a great manager also make you great at AI. In our conversation, we discuss: 🔸 The three core manager skills that translate directly to working with AI tools 🔸 Why her startup has zero PMs 🔸 How her team at Sundial uses AI to learn new skills 10x faster 🔸 The “diagnose with data, treat with design” framework for balancing instinct and data 🔸 How to give feedback that actually lands—including Julie’s exact script for difficult conversations Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury—The art of simplified finances: 🏆 DX—The developer intelligence platform designed by leading researchers: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

183,085 görüntüleme • 11 ay önce

So many people talking about AI evals. Hamel Husain and Shreya Shankar show me how to actually build one. Live. Hamel and Shreya teach the world’s most popular course on evals, and have long been at the forefront of this emerging and important new skill for AI product builders. I'm so excited to finally have them on the podcast. Learn: 🔸 WTF are evals 🔸 A step-by-step live walkthrough of how to create an eval 🔸 Why evals have become so important 🔸 The debate between “vibes” and systematic evals 🔸 Code-based evals vs. LLM-as-judge 🔸 Why you only need 4-7 evals (not hundreds) 🔸 Building an LLM judge in Google Sheets 🔸 Why you always want to start with error analysis 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Fin — The #1 AI agent for customer service: 🏆 dscout — The UX platform to capture insights at every stage: from ideation to production: 🏆 Mercury — The art of simplified finances:
1:12

So many people talking about AI evals. Hamel Husain and Shreya Shankar show me how to actually build one. Live. Hamel and Shreya teach the world’s most popular course on evals, and have long been at the forefront of this emerging and important new skill for AI product builders. I'm so excited to finally have them on the podcast. Learn: 🔸 WTF are evals 🔸 A step-by-step live walkthrough of how to create an eval 🔸 Why evals have become so important 🔸 The debate between “vibes” and systematic evals 🔸 Code-based evals vs. LLM-as-judge 🔸 Why you only need 4-7 evals (not hundreds) 🔸 Building an LLM judge in Google Sheets 🔸 Why you always want to start with error analysis 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Fin — The #1 AI agent for customer service: 🏆 dscout — The UX platform to capture insights at every stage: from ideation to production: 🏆 Mercury — The art of simplified finances:

Lenny Rachitsky

125,296 görüntüleme • 11 ay önce

Ben Mann (Ben Mann) left OpenAI in 2020 with the entire safety team to co-found Anthropic (now reportedly valued at over $100B). In a rare interview, Ben opens up about: 🔸 What he saw at OpenAI that convinced him to leave 🔸 The AI nightmare scenarios that concern him most 🔸 His take on Meta’s $100M talent wars 🔸 Why he believes 20% unemployment is inevitable 🔸 His “economic Turing test” for knowing when we’ve achieved AGI—and why it’s likely coming by 2027-2028 🔸 How focusing on AI safety created Claude’s beloved personality 🔸 What three skills he’s teaching his kids to thrive in an AI future 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 —Turn customer pain into product revenue: 🏆 LucidLink—Real-time cloud storage for teams: 🏆 Fin—The #1 AI agent for customer service:
1:24

Ben Mann (Ben Mann) left OpenAI in 2020 with the entire safety team to co-found Anthropic (now reportedly valued at over $100B). In a rare interview, Ben opens up about: 🔸 What he saw at OpenAI that convinced him to leave 🔸 The AI nightmare scenarios that concern him most 🔸 His take on Meta’s $100M talent wars 🔸 Why he believes 20% unemployment is inevitable 🔸 His “economic Turing test” for knowing when we’ve achieved AGI—and why it’s likely coming by 2027-2028 🔸 How focusing on AI safety created Claude’s beloved personality 🔸 What three skills he’s teaching his kids to thrive in an AI future 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 —Turn customer pain into product revenue: 🏆 LucidLink—Real-time cloud storage for teams: 🏆 Fin—The #1 AI agent for customer service:

Lenny Rachitsky

1,211,828 görüntüleme • 1 yıl önce

I asked here on Twitter who's the best IC product manager you've ever worked with, and shot to the top of the list. Aman Khan is a long-time AI product manager. He's currently Director of Product at Arize AI, and was previously at Spotify, Victoria Clayton ❤️ Memecoin, Zipline, and Apple. In our conversation, we discuss: 🔸 What exactly is an “AI product manager”? 🔸 How to break into AI PM 🔸 What separates top 5% AI PMs 🔸 How to thrive as an individual-contributor PM 🔸 Common pitfalls to avoid when building AI products 🔸 The importance of energy and curiosity in product roles 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:
1:03

I asked here on Twitter who's the best IC product manager you've ever worked with, and shot to the top of the list. Aman Khan is a long-time AI product manager. He's currently Director of Product at Arize AI, and was previously at Spotify, Victoria Clayton ❤️ Memecoin, Zipline, and Apple. In our conversation, we discuss: 🔸 What exactly is an “AI product manager”? 🔸 How to break into AI PM 🔸 What separates top 5% AI PMs 🔸 How to thrive as an individual-contributor PM 🔸 Common pitfalls to avoid when building AI products 🔸 The importance of energy and curiosity in product roles 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:

Lenny Rachitsky

46,981 görüntüleme • 1 yıl önce

The ultimate guide to 0-to-1 sales with Jen Abel Jen and her team at JJELLYFISH have worked with over 300 early-stage founders teaching them how to do sales, early customer discovery, and to set up a repeatable sales motion. In our conversation, Jen explains 🔸 Each step of the enterprise sales process 🔸 What three channels work best for outreach 🔸 What to say on your first call, and subsequent calls 🔸 How to craft outreach messages 🔸 Where to find the good leads 🔸 How to maintain momentum with prospects 🔸 Strategies for navigating procurement 🔸 How to avoid common pitfalls in the sales process 🔸 Why founder-led sales is so crucial early on Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Brave — A smarter way to search: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:
1:10

The ultimate guide to 0-to-1 sales with Jen Abel Jen and her team at JJELLYFISH have worked with over 300 early-stage founders teaching them how to do sales, early customer discovery, and to set up a repeatable sales motion. In our conversation, Jen explains 🔸 Each step of the enterprise sales process 🔸 What three channels work best for outreach 🔸 What to say on your first call, and subsequent calls 🔸 How to craft outreach messages 🔸 Where to find the good leads 🔸 How to maintain momentum with prospects 🔸 Strategies for navigating procurement 🔸 How to avoid common pitfalls in the sales process 🔸 Why founder-led sales is so crucial early on Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Brave — A smarter way to search: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Paragon — Ship every SaaS integration your customers want:

Lenny Rachitsky

116,878 görüntüleme • 1 yıl önce

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:
1:16

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:

Lenny Rachitsky

35,599 görüntüleme • 1 yıl önce

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:
1:40

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Lenny Rachitsky

250,455 görüntüleme • 9 ay önce

🎧 Inside Google's AI turnaround with Robby Stein Robby is VP of Product at Google where he oversees all things Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other products now used by billions. We discuss: 🔸 Why Google’s AI products are suddenly taking off after years of stagnation 🔸 How AI is expanding Search rather than replacing it, contrary to what many predicted 🔸 The three product principles that have helped Robby build multiple billion-user products 🔸 Inside Instagram’s decision to build its own version of Snapchat Stories 🔸 His mantra of “relentless improvement” 🔸 How Google developed AI Mode from concept to launch in just one year 🔸 Why most teams give up too early on potentially transformative products Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows:
1:39

🎧 Inside Google's AI turnaround with Robby Stein Robby is VP of Product at Google where he oversees all things Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other products now used by billions. We discuss: 🔸 Why Google’s AI products are suddenly taking off after years of stagnation 🔸 How AI is expanding Search rather than replacing it, contrary to what many predicted 🔸 The three product principles that have helped Robby build multiple billion-user products 🔸 Inside Instagram’s decision to build its own version of Snapchat Stories 🔸 His mantra of “relentless improvement” 🔸 How Google developed AI Mode from concept to launch in just one year 🔸 Why most teams give up too early on potentially transformative products Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Atlassian Jira Product Discovery — Confidence to build the right thing: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows:

Lenny Rachitsky

278,550 görüntüleme • 10 ay önce

Oji and Ezinne Udezue (Oji Udezue and Ezinne Udezue) have over 50 years of combined product leadership experience across Atlassian, Microsoft, Twitter WP Engine, Typeform, and Calendly. They’ve witnessed every major shift in product management—from Waterfall to Agile to AI. Despite their experience, they’re taking beginner AI courses and learning from engineers half their age. Oji is coding more now than in the past decade. In our conversation, we discuss: 🔸 Why PMs are now often the bottleneck because engineers are moving so fast with AI 🔸 The “shipyard” framework: why the best AI teams embrace controlled chaos 🔸 The three skills that matter most for PMs in 2025: curiosity, humility, and agency 🔸 How to identify “sharp problems” 🔸 Their biggest product lesson from 50 combined years Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury — The art of simplified finances: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Coda — The all-in-one collaborative workspace:
0:59

Oji and Ezinne Udezue (Oji Udezue and Ezinne Udezue) have over 50 years of combined product leadership experience across Atlassian, Microsoft, Twitter WP Engine, Typeform, and Calendly. They’ve witnessed every major shift in product management—from Waterfall to Agile to AI. Despite their experience, they’re taking beginner AI courses and learning from engineers half their age. Oji is coding more now than in the past decade. In our conversation, we discuss: 🔸 Why PMs are now often the bottleneck because engineers are moving so fast with AI 🔸 The “shipyard” framework: why the best AI teams embrace controlled chaos 🔸 The three skills that matter most for PMs in 2025: curiosity, humility, and agency 🔸 How to identify “sharp problems” 🔸 Their biggest product lesson from 50 combined years Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Mercury — The art of simplified finances: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Coda — The all-in-one collaborative workspace:

Lenny Rachitsky

81,329 görüntüleme • 1 yıl önce

Zero to $50M in 4 months. $100M+ in 12 months. That's the story of how Handshake discovered they were sitting on AI's most valuable resource: 20 million students and experts. For a decade, Garrett Lord built a career network for students and PhDs. A great business, growing well. Then AI happened. Last Christmas, Garrett realized his network of 500,000 PhDs and 3 million master's is exactly what frontier AI labs desperately needed to train their models. He flew around the country during the holidays, talked to lab leaders, and launched a new business inside his existing company. Eight months in, they now work with all 7 major frontier AI labs and have become one of the fastest-growing businesses in Silicon Valley history. In our conversation, Garrett shares: 🔸 How Handshake found this opportunity 🔸 Why AI models need human experts (e.g. physics PhDs) to improve 🔸 What this “data labeling” actually involves 🔸 Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter 🔸 The playbook for building a startup inside a startup: separate teams, separate offices, separate everything 🔸 Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity 🔸 Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit — Cut code review time and bugs in half. Instantly: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows: 🏆 Anthropic — The AI for problem solvers and enterprise:
1:08

Zero to $50M in 4 months. $100M+ in 12 months. That's the story of how Handshake discovered they were sitting on AI's most valuable resource: 20 million students and experts. For a decade, Garrett Lord built a career network for students and PhDs. A great business, growing well. Then AI happened. Last Christmas, Garrett realized his network of 500,000 PhDs and 3 million master's is exactly what frontier AI labs desperately needed to train their models. He flew around the country during the holidays, talked to lab leaders, and launched a new business inside his existing company. Eight months in, they now work with all 7 major frontier AI labs and have become one of the fastest-growing businesses in Silicon Valley history. In our conversation, Garrett shares: 🔸 How Handshake found this opportunity 🔸 Why AI models need human experts (e.g. physics PhDs) to improve 🔸 What this “data labeling” actually involves 🔸 Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter 🔸 The playbook for building a startup inside a startup: separate teams, separate offices, separate everything 🔸 Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity 🔸 Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit — Cut code review time and bugs in half. Instantly: 🏆 Orkes — The enterprise platform for reliable applications and agentic workflows: 🏆 Anthropic — The AI for problem solvers and enterprise:

Lenny Rachitsky

197,252 görüntüleme • 1 yıl önce

"Sell the alpha, not the feature": The enterprise sales playbook for $1M to $10M ARR with Jen Abel Jen is GM of Enterprise at State Affairs, co-founder JJELLYFISH, and one of the sharpest minds I've ever met on all things enterprise sales. In this follow-up to our first chat two years ago (covering the founder-led sales zero to $1M phase), we focus on what founders need to know to grow from $1M to $10M ARR. We discuss: 🔸 The dangers of pricing your product $10K-$20K 🔸 Why tier-1 logos counterintuitively make the best early customers 🔸 Why the “mid-market” doesn’t exist 🔸 How to find and work with design partners 🔸 Why you need to vision-cast instead of problem-solve 🔸 Why services are the fastest way to get your foot in the door with enterprises 🔸 When to hire your first salesperson and what profile to look for 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Lovable—Build apps by simply chatting with AI: 🏆 Coda (Superhuman Docs)—The all-in-one collaborative workspace:
1:37

"Sell the alpha, not the feature": The enterprise sales playbook for $1M to $10M ARR with Jen Abel Jen is GM of Enterprise at State Affairs, co-founder JJELLYFISH, and one of the sharpest minds I've ever met on all things enterprise sales. In this follow-up to our first chat two years ago (covering the founder-led sales zero to $1M phase), we focus on what founders need to know to grow from $1M to $10M ARR. We discuss: 🔸 The dangers of pricing your product $10K-$20K 🔸 Why tier-1 logos counterintuitively make the best early customers 🔸 Why the “mid-market” doesn’t exist 🔸 How to find and work with design partners 🔸 Why you need to vision-cast instead of problem-solve 🔸 Why services are the fastest way to get your foot in the door with enterprises 🔸 When to hire your first salesperson and what profile to look for 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Lovable—Build apps by simply chatting with AI: 🏆 Coda (Superhuman Docs)—The all-in-one collaborative workspace:

Lenny Rachitsky

230,233 görüntüleme • 9 ay önce

What world-class GTM looks like in 2026 with Jeanne DeWitt Grosser (Jeanne Grosser) Jeanne built Stripe's legendary sales team from the ground up, and is currently COO at Vercel, where she oversees marketing, sales, customer Success, and rev ops. In our conversation, we discuss: 🔸 Why GTM is becoming a huge differentiator in the AI era 🔸 How AI is changing sales 🔸 The rise of the "GTM engineer" role 🔸 How Vercel made their SDRs 10x more efficient 🔸 A primer on segmentation 🔸 How to build a sales org that product teams love 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 Lovable — Build apps by simply chatting with AI: 🏆 Stripe — Helping companies of all sizes grow revenue:
1:41

What world-class GTM looks like in 2026 with Jeanne DeWitt Grosser (Jeanne Grosser) Jeanne built Stripe's legendary sales team from the ground up, and is currently COO at Vercel, where she oversees marketing, sales, customer Success, and rev ops. In our conversation, we discuss: 🔸 Why GTM is becoming a huge differentiator in the AI era 🔸 How AI is changing sales 🔸 The rise of the "GTM engineer" role 🔸 How Vercel made their SDRs 10x more efficient 🔸 A primer on segmentation 🔸 How to build a sales org that product teams love 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Datadog, Inc. — Now home to Eppo, the leading experimentation and feature flagging platform: 🏆 Lovable — Build apps by simply chatting with AI: 🏆 Stripe — Helping companies of all sizes grow revenue:

Lenny Rachitsky

79,415 görüntüleme • 9 ay önce

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:
0:58

Inside Every 📧: The AI-native startup with 5 products, 7-figure revenue, and 100% AI-written code With just 15 people, Every 📧 publishes a daily AI newsletter, ships AI products, and operates a million-dollar-a-year consulting arm—all while their engineers write virtually zero code. It’s the most radical example of an AI-first company, and Dan Shipper 📧 (CEO) is a prolific writer who has become a leading voice on how AI is transforming the way we live and work. In this conversation, we discuss: 🔸 Why every company needs an “AI operations lead” 🔸 The most underrated AI tool for non-programmers 🔸 Why Dan thinks AI will reshore jobs to the U.S. 🔸 An inside look at Every’s AI-first workflow 🔸 How Dan’s team uses an arsenal of AI agents (Claude, Codex, “Friday,” “Charlie”) in parallel, treating each AI like a specialist with unique strengths 🔸 Why generalists will thrive in an AI-first world, as rigid job titles blur and everyone becomes a “manager” of AI tools 🔸 Dan’s playbook for making any company AI-first—from the CEO setting the example, to hosting internal prompt-sharing sessions, to upskilling teams on AI tools 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 CodeRabbit—Cut code review time and bugs in half. Instantly: 🏆 DX—A platform for measuring and improving developer productivity: 🏆 PostHog—How developers build successful products:

Lenny Rachitsky

314,081 görüntüleme • 1 yıl önce

.Shopify was founded over 20 years ago, has over 10,000 employees, is fully remote, yet continues to operate with intensity, urgency, and a first-principled way of thinking. A lot of this is due to their Head of Engineering, Farhan Thawar (Farhan Thawar). In our conversation, Farhan shares: 🔸 How he fosters intensity within his org (without burnout) 🔸 Why pair programming is far too underutilized 🔸 Why choosing the harder path leads to better outcomes 🔸 How he hires without interviewing 🔸 His mission to create a “crafter’s paradise” for engineers 🔸 How he built one of the world’s largest internship programs 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 DX — A platform for measuring and improving developer productivity: 🏆 — A global leader in digital identity verification: 🏆 Vanta — Automate compliance. Simplify security:
1:13

.Shopify was founded over 20 years ago, has over 10,000 employees, is fully remote, yet continues to operate with intensity, urgency, and a first-principled way of thinking. A lot of this is due to their Head of Engineering, Farhan Thawar (Farhan Thawar). In our conversation, Farhan shares: 🔸 How he fosters intensity within his org (without burnout) 🔸 Why pair programming is far too underutilized 🔸 Why choosing the harder path leads to better outcomes 🔸 How he hires without interviewing 🔸 His mission to create a “crafter’s paradise” for engineers 🔸 How he built one of the world’s largest internship programs 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 DX — A platform for measuring and improving developer productivity: 🏆 — A global leader in digital identity verification: 🏆 Vanta — Automate compliance. Simplify security:

Lenny Rachitsky

44,912 görüntüleme • 1 yıl önce

🎧 Here's my conversation with the one and only Dylan Field We discuss: 🔸 Why AI makes design, craft, and quality the new moat for startups 🔸 What actually happened with the Adobe deal, and how he kept morale up after it fell through 🔸 His approach to maintaining pace and a sense of urgency 13 years in 🔸 How to systematically develop taste 🔸 How Figma decides which product lines to add 🔸 Why you need to be obsessed with “time to value” 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: ⭐ This entire episode is sponsored by Stripe — Helping companies of all sizes grow revenue:
1:25

🎧 Here's my conversation with the one and only Dylan Field We discuss: 🔸 Why AI makes design, craft, and quality the new moat for startups 🔸 What actually happened with the Adobe deal, and how he kept morale up after it fell through 🔸 His approach to maintaining pace and a sense of urgency 13 years in 🔸 How to systematically develop taste 🔸 How Figma decides which product lines to add 🔸 Why you need to be obsessed with “time to value” 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: ⭐ This entire episode is sponsored by Stripe — Helping companies of all sizes grow revenue:

Lenny Rachitsky

299,518 görüntüleme • 10 ay önce