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Figma co-founder and CEO Dylan Field (Dylan Field) on how AI will transform design and why craft and attention to detail will be the ultimate differentiators. At AI Startup School in San Francisco. 01:38 – How Dylan and Evan Started Figma 02:58 – WebGL: From Games to Tools 04:10... – Buying Time to Build 05:48 – Staying Motivated Through Early Exploration 06:10 – Cold Emails, Early Feedback & First Users 08:24 – Launch Timing and Lessons on Shipping Early 10:08 – Culture of Constraints & Creative Problem-Solving 10:50 – Recognizing Product-Market Pull 13:32 – Why Design is the Differentiator in the AI Era 16:34 – Figma’s AI Product Launches & Expanding Beyond Design 18:56 – The Blurring of Design, Development, and Product 21:00 – The “MS-DOS Era” of AI Interfaces & Future Surfaces 23:26 – The Role of Design in AI Research & the Future of Designers 27:36 – Audience Q&A: AI Tools, Open Source, Principles, and Adviceshow more

Y Combinator

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$FIG just launched the Figma Design Agent, a dedicated agent that works alongside users in Figma. The agent lives directly on the canvas, so you can prompt from any design layer, iterate and edit alongside the agent, and hand it boring tasks that would have otherwise taken up a lot of your time. $FIG CEO Dylan Field came on the show today to discuss the launch. Here's our full conversation. 01:18 – Clocking AI-generated designs 03:31 – Figma’s new Design Agent 05:40 – AI code bloat and slop 09:09 – Using AI to augment creativity and branding 15:08 – Why Figma should be the front door to building apps in the AI era 18:53 – How design becomes more important as code commoditizes

$FIG just launched the Figma Design Agent, a dedicated agent that works alongside users in Figma. The agent lives directly on the canvas, so you can prompt from any design layer, iterate and edit alongside the agent, and hand it boring tasks that would have otherwise taken up a lot of your time. $FIG CEO Dylan Field came on the show today to discuss the launch. Here's our full conversation. 01:18 – Clocking AI-generated designs 03:31 – Figma’s new Design Agent 05:40 – AI code bloat and slop 09:09 – Using AI to augment creativity and branding 15:08 – Why Figma should be the front door to building apps in the AI era 18:53 – How design becomes more important as code commoditizes

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THE LIBRARY OF MINDS: EPISODE 3 - Soleio Cuervo (Soleio) Early designer at Facebook & Dropbox, co-inventor of the Like button, and design-driven investor behind Figma, Perplexity, and Delphi. We discuss: • The untold story of the Facebook Like button • Defining the role of “Product Designer” at Facebook • Building world-class design cultures at scale • Balancing speed vs. excellence in product teams • When intuition fails - and data saves you Plus: Lessons in hybrid designer-engineers, hackathon culture, trust & safety, and how AI is redefining great UX. Bonus: Soleio on utility vs. beauty, system-centric design, and why digital minds might be the next design frontier. (00:00) - Intro (01:00) - Who is Soleio Cuervo (02:00) - Early web days: The origins of product design (04:37) - Inventing the ‘product designer’ role at Facebook (07:43) - Culture of speed, ownership, and building at Facebook (11:45) - Shipping fast: The story of Facebook’s Like button (13:54) - When to persist and when to quit: Loonshots, ‘false fails’, and user onboarding at Facebook (17:49) - Transitioning cultures: From Facebook’s speed to Dropbox’s trust (20:54) - Balancing speed with excellence: Lessons for AI-era startups (22:28) - Is speed or quality a stronger differentiator in today’s tech world? (24:35) - Can design be a moat in the age of AI? (27:35) - Rethinking UX in an AI-native world (29:08) - Why Soleio invested in Delphi: The “Oprahbot” idea and digital minds

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In this episode of Design Review, Aaron Epstein sits down with Jorn van Dijk, the CEO and Co-founder of Framer. Together they unpack the brutal “gray zone” between early revenue and real product-market fit, the pivot that reignited their growth, and how to adapt as AI reshapes how we build and design software. 00:00 - Intro to Jorn van Dijk, the CEO and co-founder of Framer 00:34 - Framer’s Scale: $2B Valuation, 120 People around the globe 01:06 - Jorn’s Design Roots 01:49 - Why Dutch Design Culture Is So Strong 03:43 - Sofa: The Studio That Shaped Jorn (and His Co-Founder) 04:39 - Building Mac Products: Checkout, Versions, Kaleidoscope 06:13 - Apple Design Awards And A Game Changing Email 07:24 - Facebook Acquisition: Why They Wanted Designers 09:27 - Culture Shock: From 15-Person Studio to Facebook Scale 10:27 - Leaving Facebook: Intentionally Learning to Build a Big Company 13:12 - Early Experiments: Bitcoin App, Fashion App, Framer Prototype Tool 18:37 - The Plateau: Why Framer Studio Hit a Ceiling Around $4–5M ARR 23:52 - The Decision: Sell, Quit, or Pivot 25:30 - The Big Insight: People Hate Rebuilding 34:55 - AI + Design: What’s Changing & What Isn’t

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AI is an extinction event for the traditional product playbook. Geoff Charles explains why Ramp is replacing classic PMs and burning their own code to maintain legendary velocity. (0:00) How AI Destroyed the Product Playbook? (1:08) What Are the 3 Levels of AI Proficiency? (3:55) When Should You Rip Up Your Own Code? (6:57) Why Did Charles Change Ramp’s Org Design? (8:21) How Did One Hackathon Change Everything? (13:08) Does the Product Manager Role Still Exist? (18:18) Why Are There Only 22 PMs at Ramp? (22:25) Is Middle Management Dead in the AI Era? (26:36) How Do You Pass an AI Product Interview? (31:13) Should New Grads Avoid Product Management? (36:16) Will Agents Replace Software QA Testing? (38:31) Is Traditional User Research Obsolete? (42:16) Overrated or Underrated: Product Specs? (46:36) Why Hasn't Ramp Logged Into Figma? (49:04) Are Stablecoins the Future of Agents?

AI is an extinction event for the traditional product playbook. Geoff Charles explains why Ramp is replacing classic PMs and burning their own code to maintain legendary velocity. (0:00) How AI Destroyed the Product Playbook? (1:08) What Are the 3 Levels of AI Proficiency? (3:55) When Should You Rip Up Your Own Code? (6:57) Why Did Charles Change Ramp’s Org Design? (8:21) How Did One Hackathon Change Everything? (13:08) Does the Product Manager Role Still Exist? (18:18) Why Are There Only 22 PMs at Ramp? (22:25) Is Middle Management Dead in the AI Era? (26:36) How Do You Pass an AI Product Interview? (31:13) Should New Grads Avoid Product Management? (36:16) Will Agents Replace Software QA Testing? (38:31) Is Traditional User Research Obsolete? (42:16) Overrated or Underrated: Product Specs? (46:36) Why Hasn't Ramp Logged Into Figma? (49:04) Are Stablecoins the Future of Agents?

Rex Salisbury

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a16z

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Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 Aufrufe • vor 1 Jahr

Netflix pays AI PMs up to $900K/year. How do you become (and succeed) as one? Marily Nika Marily Nika is an AI PM at Google, and was an AI PM at Meta. In today's episode, she breaks it down: How AI PM Roles Differ at Big Tech Companies – 06:56 How Technical an AI PM Needs to Be – 08:08 Data Handling Responsibilities for AI PMs – 13:10 How PMs Can Improve Collaboration with Researchers – 18:06 Interviewing for AI PM Roles at Big Tech Companies – 22:08 The Role of a PhD in AI Product Management – 26:03 Optimizing LinkedIn for Aspiring AI PMs – 31:55 Roadmap to Becoming an AI PM – 37:05 Transitioning into AI Product Management – 40:52 The Process of Boomeranging Back to a Company – 44:00 AI Tools Every PM Should Know – 48:08 What It’s Like to Be an AI PM at Google – 57:46 How to Develop a Strong Product Strategy – 01:01:21 The Evolution of PM Roles in the Age of AI – 01:05:11 How PMs Can Stay Relevant in an AI-Driven World – 01:08:12 Balancing a Side Business with a Full-Time Job – 01:13:42 The Process of Creating a Course – 01:17:12 LinkedIn Tips for Aspiring AI PM Creators – 01:21:21 Lessons from Product Failures – 01:25:27 Paid promotions included

Netflix pays AI PMs up to $900K/year. How do you become (and succeed) as one? Marily Nika Marily Nika is an AI PM at Google, and was an AI PM at Meta. In today's episode, she breaks it down: How AI PM Roles Differ at Big Tech Companies – 06:56 How Technical an AI PM Needs to Be – 08:08 Data Handling Responsibilities for AI PMs – 13:10 How PMs Can Improve Collaboration with Researchers – 18:06 Interviewing for AI PM Roles at Big Tech Companies – 22:08 The Role of a PhD in AI Product Management – 26:03 Optimizing LinkedIn for Aspiring AI PMs – 31:55 Roadmap to Becoming an AI PM – 37:05 Transitioning into AI Product Management – 40:52 The Process of Boomeranging Back to a Company – 44:00 AI Tools Every PM Should Know – 48:08 What It’s Like to Be an AI PM at Google – 57:46 How to Develop a Strong Product Strategy – 01:01:21 The Evolution of PM Roles in the Age of AI – 01:05:11 How PMs Can Stay Relevant in an AI-Driven World – 01:08:12 Balancing a Side Business with a Full-Time Job – 01:13:42 The Process of Creating a Course – 01:17:12 LinkedIn Tips for Aspiring AI PM Creators – 01:21:21 Lessons from Product Failures – 01:25:27 Paid promotions included

Aakash Gupta

42,853 Aufrufe • vor 1 Jahr

“Product Management isn’t going to exist in 5 years” - 2x CPO @ Qualtrics and Apollo That's just one of the bold takes Shek, my former manager, shares in today's episode. If you're observing the future of the PM role, this episode is a must-listen. Designers in the AI-Driven Era – 09:19 AI Tools for Rapid Prototyping – 17:44 Why PMs Must Be Technical with AI – 30:13 Product Engineers Taking on PM Roles – 40:50 The Two Categories of Product Engineers – 45:33 The Future of Product Management – 51:15 How Technical PMs Impact a Company – 57:11 How Companies Will Win by Embracing This Shift – 01:04:38 The Rise of the Feature Factory Era – 01:08:13 Why the Top Two Jobs of a PM Are the Same – 01:14:13 The Expanding Role of Product Engineers Beyond Building – 01:20:23 Lessons from Failures as a Product Builder – 01:27:19 Balancing Work and Execution as a Product Leader – 01:34:55 Paid Promotions Included

“Product Management isn’t going to exist in 5 years” - 2x CPO @ Qualtrics and Apollo That's just one of the bold takes Shek, my former manager, shares in today's episode. If you're observing the future of the PM role, this episode is a must-listen. Designers in the AI-Driven Era – 09:19 AI Tools for Rapid Prototyping – 17:44 Why PMs Must Be Technical with AI – 30:13 Product Engineers Taking on PM Roles – 40:50 The Two Categories of Product Engineers – 45:33 The Future of Product Management – 51:15 How Technical PMs Impact a Company – 57:11 How Companies Will Win by Embracing This Shift – 01:04:38 The Rise of the Feature Factory Era – 01:08:13 Why the Top Two Jobs of a PM Are the Same – 01:14:13 The Expanding Role of Product Engineers Beyond Building – 01:20:23 Lessons from Failures as a Product Builder – 01:27:19 Balancing Work and Execution as a Product Leader – 01:34:55 Paid Promotions Included

Aakash Gupta

34,037 Aufrufe • vor 1 Jahr

Congrats to Dylan Field and Figma on their IPO today! A few months ago, Dylan sat down with us to talk about Figma’s early days, why great design matters more than ever, and how they turned a meme generator into one of the most important tools in tech. ▶️

Congrats to Dylan Field and Figma on their IPO today! A few months ago, Dylan sat down with us to talk about Figma’s early days, why great design matters more than ever, and how they turned a meme generator into one of the most important tools in tech. ▶️

Y Combinator

18,532 Aufrufe • vor 1 Jahr

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

Y Combinator

224,320 Aufrufe • vor 11 Monaten

For nearly two decades, Box co-founder and CEO Aaron Levie (Aaron Levie) has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI. In his fireside with YC's David Lieb at AI Startup School, Aaron reflects on adapting a company for the long term, staying relevant across multiple waves, and why he believes AI is the most transformative shift yet. 00:00 – AI hype vs. reality inside companies 01:00 – Early days: starting Box in 2005 03:30 – Pivoting from consumer storage to enterprise cloud 05:45 – Cloud transition lessons vs. AI today 07:10 – Why unstructured data is AI’s biggest opportunity 09:05 – Will AI replace jobs or create more work? 13:15 – Startups vs. incumbents in the AI era 15:20 – Finding the next “nouns and verbs” for startups 20:25 – Rethinking SaaS business models for AI agents 27:05 – Why companies won’t just build everything in-house 31:15 – Advice to young founders 35:40 – Fulfillment and meaning of life 36:40 – Enterprise design and craft in SaaS 39:00 – Competing with incumbents

For nearly two decades, Box co-founder and CEO Aaron Levie (Aaron Levie) has been at the frontlines of how technology reshapes work—guiding the company through the rise of mobile, the cloud, and now the age of AI. In his fireside with YC's David Lieb at AI Startup School, Aaron reflects on adapting a company for the long term, staying relevant across multiple waves, and why he believes AI is the most transformative shift yet. 00:00 – AI hype vs. reality inside companies 01:00 – Early days: starting Box in 2005 03:30 – Pivoting from consumer storage to enterprise cloud 05:45 – Cloud transition lessons vs. AI today 07:10 – Why unstructured data is AI’s biggest opportunity 09:05 – Will AI replace jobs or create more work? 13:15 – Startups vs. incumbents in the AI era 15:20 – Finding the next “nouns and verbs” for startups 20:25 – Rethinking SaaS business models for AI agents 27:05 – Why companies won’t just build everything in-house 31:15 – Advice to young founders 35:40 – Fulfillment and meaning of life 36:40 – Enterprise design and craft in SaaS 39:00 – Competing with incumbents

Y Combinator

236,530 Aufrufe • vor 10 Monaten