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75개정렬
40:22ENBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5진행자 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
30:05EN100 Signups, 95 Drop-offs: How Gamma Turned AI Slides Into a $50 Million BusinessGamma founder Jon Noronha tells Sequoia's Training Data how a park-bench idea, image models, and relentless A/B testing built a cash-flow-positive visual storytelling platform.
51:19ENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product진행자 Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
51:16ENGoogle Labs Pops Champagne at 10,000 Weekly UsersJosh Woodward on fifty-day sprints, fading paragraph prompts, and why a number Search would never notice is the point of an AI incubator.
1:24:48ENCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat Box진행자 Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.
41:25ENEven If the Models Froze Today, We've Extracted One-Millionth of the Value진행자 Sarah Guo, Elad GilAirtable CEO Howie Liu on why a 2012 vision deck still maps the company, why enterprise AI is stuck on imagination, and why codegen will not kill no-code before AGI.
35:24ENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the Moat진행자 Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
1:32:19ENHis 2018 Prompting Paper Was Rejected. His Search API Now Beats Google진행자 Nathan LabenzRichard Socher traces You.com from a rejected unified NLP model to an LLM-native web index, three assistant modes, and a very low P(doom).
38:48ENShopify Built a Copilot, Not an Autopilot, for Every Merchant진행자 Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.
1:00:02EN98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the Deck진행자 Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.
1:47:05ENEdit Meaning, Not Tokens: Linus Lee on Latent-Space Interfaces진행자 Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.
1:21:44ENFrom Rowing to Steering: Inside OpenAI's Push Toward Persistent AI Coworkers진행자 Lenny RachitskyTara Seshan, who leads product for Codex and ChatGPT Work at OpenAI, explains how PM work changes when agents do the rowing and people do the steering.
1:26:22ENStart Small, Earn Autonomy: What 50+ AI Product Deployments Taught Two Builders진행자 Lenny RachitskyAishwarya Naresh Reganti and Kiriti Badam explain why AI products need a different build process, and how to grow agent autonomy step by step without losing customer trust.
1:21:35ENLook Outside the Building: Shaun Clowes on Why Most PMs Fall Short and How AI Changes the Job게스트 Shaun Clowes · 진행자 Lenny RachitskyConfluent's chief product officer explains how to become a far better product manager, why data matters more than models, and what AI will and won't do to SaaS.
1:08:29ENTaste, Authenticity and Small Pods: Instagram's Adam Mosseri on Building Products in an AI World진행자 Lenny RachitskyThe head of Instagram explains how Meta's product teams are shrinking, why human judgment and creator identity matter more as AI content grows, and what he learned from his biggest failures.
1:03:09ENCanva's Co-Founder on Joyful Products, Giving Away Your Lego, and Growing to $2.3 Billion게스트 Cameron Adams · 진행자 Lenny RachitskyCameron Adams, Canva's co-founder and chief product officer, explains how product obsession, coaching culture, onboarding, SEO, localization, freemium and AI shaped one of the fastest-growing profitable software companies.
1:31:22ENThe Super IC Playbook: 12 Years of Product Leverage Without Management진행자 Lenny RachitskyTal Raviv explains why he stayed an individual-contributor PM for 12 years, how he uses AI and self-reliant teams to scale his impact, and what failure has taught him.
1:07:25ENAlgorithms Need People: Adriel Frederick on Judgment, Diverse Teams and Growing Products게스트 Adriel Frederick · 진행자 Lenny RachitskyA product leader from Facebook, Lyft and Reddit explains why algorithmic products still need human judgment, how diverse teams move faster, and how to find the "marginal user".
1:33:50ENEvals Are the New PRDs: Inside Anthropic's Research Product Team진행자 Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.
1:31:41ENThe Worst Model You'll Ever Use: Kevin Weil on Building Products at OpenAI's Pace게스트 Kevin Weil · 진행자 Lenny RachitskyOpenAI's chief product officer explains how evals, light planning, fine-tuned model ensembles and a small PM team shape the way the company ships.
19:13ENJudgment Is the Craft: Robby Stein's Three-Chapter Playbook for Product Managers in the AI Era진행자 Lenny RachitskyGoogle Search's Robby Stein says a PM's core skill is decision making, and walks through how to understand people, diagnose root causes and polish the craft, with AI helping at each step.
48:58ENNotebookLM's Accidental Podcast Hit: A 20% Project, a Tiny Team, and a Remixable AI Editor진행자 Lenny RachitskyRaiza Martin explains how NotebookLM's Audio Overviews became a viral demo, how Google Labs let a tiny team ship like a startup, and where the product goes next.
28:48ENWhy Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Bets진행자 Lenny RachitskyAt the Lenny and Friends Summit, Anthropic's Ami Vora and Mike Krieger tell Dan Shipper how the product role is changing when technology shifts every couple of months.
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