Podcasts about lovable

Elena Verna is the head of growth at Lovable, the leading AI-powered app builder that hit $200 million in annual recurring revenue in under a year with just 100 employees. In this record fourth appearance on the podcast, Elena shares how the traditional growth playbook has been completely rewritten for AI companies. She explains why Lovable focuses on innovation over optimization, how they've shifted from activation to building new features, and why giving away their product for free has become their most powerful growth strategy.We discuss:1. Why 60% to 70% of traditional growth tactics no longer apply in AI2. Why you have to re-find product-market fit every 3 months3. The specific growth tactics driving Lovable's unprecedented growth4. Why giving away product is a growth strategy that beats paid ads5. “Minimum lovable product” as the new standard (not minimum viable product)6. Why activation now belongs to product teams, not growth teams7. Whether you should join an AI startup (honest tradeoffs)—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webPersona—A global leader in digital identity verification—Transcript: ⁠https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/181207556/my-biggest-takeaways-from-this-conversation⁠—Where to find Elena Verna:• X: https://x.com/elenaverna• LinkedIn: https://www.linkedin.com/in/elenaverna• Newsletter: https://www.elenaverna.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Elena Verna(05:19) The scale and growth of Lovable(08:55) Confidence in Lovable as a business(12:17) Retention at Lovable(15:02) Lovable's unique growth levers(28:13) The role of marketing in Lovable's success(38:09) Launching new features(40:59) Hiring and team dynamics(43:17) The value of vibe coding(49:46) The importance of community(51:47) Giving away your product for free(56:26) Tripling their company size(01:00:23) Product-market-fit challenges(01:08:50) Advice for joining AI companies(01:12:00) Work-life balance(01:15:20) What it's like to work at Lovable(01:19:45) Women in tech(01:25:29) Final thoughts and lightning round—Referenced:• Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more: https://www.lennysnewsletter.com/p/elena-verna-on-why-every-company• The ultimate guide to product-led sales | Elena Verna: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-product-led• 10 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey): https://www.lennysnewsletter.com/p/10-growth-tactics-that-never-work-elena-verna• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Stripe: https://stripe.com• What differentiates the highest-performing product teams | John Cutler (Amplitude, The Beautiful Mess): https://www.lennysnewsletter.com/p/what-differentiates-the-highest-performing• How to win in the AI era: Ship a feature every week, embrace technical debt, ruthlessly cut scope, and create magic your competitors can't copy | Gaurav Misra (CEO and co-founder of Captions): https://www.lennysnewsletter.com/p/how-to-win-in-the-ai-era-gaurav-misra• “Dumbest idea I've heard” to $100M ARR: Inside the rise of Gamma | Grant Lee (CEO): https://www.lennysnewsletter.com/p/how-50-people-built-a-profitable-ai-unicorn• Eric Ries on LinkedIn: https://www.linkedin.com/in/eries• Elena's post on LinkedIn about Lovable Missions: https://www.linkedin.com/posts/elenaverna_everythingispossible-lovableway-activity-7401627519646474242-hn6e• SheBuilds: https://shebuilds.lovable.app• Shopify + Lovable: https://lovable.dev/shopify• The Product-Market Fit Treadmill: Why every AI company is sprinting just to stay in place: https://www.elenaverna.com/p/the-product-market-fit-treadmill• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Unorthodox frameworks for growing your product, career, and impact | Bangaly Kaba (YouTube, Instagram, Facebook, Instacart): https://www.lennysnewsletter.com/p/frameworks-for-growing-your-career-bangaly-kaba• The adjacent user: https://brianbalfour.com/quick-takes/the-adjacent-user• Granola: https://www.granola.ai• Wispr Flow: https://wisprflow.ai• I'm worried about women in tech: https://www.elenaverna.com/p/im-worried-about-women-in-tech• Slack founder: Mental models for building products people love ft. Stewart Butterfield: https://www.lennysnewsletter.com/p/slack-founder-stewart-butterfield—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this episode, we break down how vibe-coding startup Lovable secured a massive $330M funding round at a $6.6B valuation and what that says about investor appetite for developer-first AI tools. In this episode, we explore what “vibe-coding” actually means, why Lovable is scaling so fast, and how this raise could shape the future of software creation.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, I'm taking you behind the scenes of a live app build where I create a fully functional mental health therapy app from scratch - in under an hour. No coding experience required. What makes this episode special is that it's completely unscripted and live. You'll watch as I prompt Lovable.dev with a single request and see it generate production-ready code, databases, and integrations in real-time. I also show how to create custom graphics using Google's Gemini Pro for a more personalized touch. Whether you're a coach, consultant, entrepreneur, or just someone with an app idea, this episode will show you exactly how to transform your vision into a working product that can take payments tomorrow. I walk through every step, share the exact prompts I use, and explain how these tools are democratizing software development.

Conversión en CRMsTítulo, CTA email o llamada, mostrar demo caso pluto.tvhttps://analizador.top/https://instaradar.top/Tutorial Lovable: https://www.youtube.com/watch?v=boMDBTedfbQConsigue 10 créditos extra con Lovable desde https://borjagiron.com/lovableComprar dominio con Hostinger con descuento: https://borjagiron.com/hostingerConviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/seo-para-google--1693061/support.Newsletter Marketing Radical: https://marketingradical.substack.com/welcomeNewsletter Negocios con IA: https://negociosconia.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com

10 créditos gratis: https://borjagiron.com/lovableTutorial Lovable: https://www.youtube.com/watch?v=boMDBTedfbQMis negocios con IA: https://borjagiron.com/negocios-inteligencia-artificial/Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/inteligencia-artificial-para-emprender--5863866/support.Newsletter Negocios con IA: https://negociosconia.substack.com/welcomeNewsletter Marketing Radical: https://marketingradical.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com

The "vibe coding will kill SaaS" narrative is everywhere right now, and I think it's completely wrong. Yes, anyone can spin up a Lovable or Bolt.new project in an afternoon. But there's a fundamental confusion happening: people are mistaking software products for software businesses. SaaS was never really about the software — it was always about the service, the operations, the years of edge cases and integrations and customer conversations that make a product actually work. In this episode, I break down why vibe-coded solutions fall apart the moment real customers show up, why "comprehension debt" is the hidden killer of AI-built projects, and how we might need to shift our messaging to make the invisible 20% of our work visible to buyers who now think they could build everything themselves.This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/vibe-coding-wont-kill-saas/The podcast episode: https://tbf.fm/episodes/427-vibe-coding-wont-kill-saas Check out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

I Mattias Miksches comeback i Technokratin dividerar han och radarpartnern Sabina Wizander om när AR-glasögon slår igenom, varför entreprenörer blir mer uppmärksammade när de försöker vara hemliga, vad som händer med e-handlare när SEO blir GEO och hur många som försökt köpa Mattias post med Lovableaktier de senaste månaderna.

Guest: Derek Baird, CEO & Co-founder, Switchboard HealthResources:Switchboard Health: https://switchboardhealth.com/Conduce Health: https://www.conducehealth.com/Connect with Derek: https://www.linkedin.com/in/debaird/Connect with Nick: https://www.linkedin.com/in/nick-crabbs-5674a233/ Product in Healthtech is community for healthtech product leaders, by product leaders. For more information, and to sign up for our free webinars, visit www.productinhealthtech.com.

In this episode of Future of UX, Patricia breaks down the most important tech and AI shifts of 2025 — the trends that fundamentally changed how we design, build, research, and work. If you missed anything this year or simply want the essential takeaways, this episode is your shortcut.From AI Agents and deepfake-proof UX to vibe-coding, AI-native browsers, research automation, and the rise of general-purpose robots — here are the big transformations shaping the future of design.Why 2025 was the year AI Agents became real — not as chatbots, but as autonomous coworkers running full workflows.• How MCP unlocked the agent ecosystem• Vibe coding and intent-driven development• The shift from execution to oversight in human rolesVisual trust collapsed — and UX became responsible for rebuilding it.• Why humans can't detect deepfakes anymore• What actually worked: C2PA, identity checks, and UI “micro-literacy”• Designing interfaces that communicate authenticity and uncertaintyHow tools like Lovable, Replit, and AI builders changed who gets to create.• From pixel pushing to strategic direction• Conversational creation flows• What this means for designers and innovatorsAI automated more than ever — but made human oversight more important.• Where full autonomy worked• Where humans stayed essential• Why the future depends on intentional human-in-the-loop designResearch and analysis were transformed by automated synthesis.• Superagency: managing research instead of doing it manually• The new trust problem in fast research• Data provenance, model transparency, and expert validationBrowsers became intelligence layers instead of navigation tools.• Context-aware, predictive UX• Browsers that act, not just display• How this changes product and interaction designWhy general-purpose robots finally left the lab in 2025.• Embodied AI• Real-world perception• Language-driven task executionAI for Designers: 5-week Bootcamp

Die AI Talk Hosts ⁠Jakob Steinschaden⁠ (Trending Topics, ⁠newsrooms⁠) und ⁠Clemens Wasner⁠ (⁠enliteAI⁠, ⁠AI Austria⁠) tauchen heute tief in Gemini 3 von Google ein und probieren aus, was das aktuell beste KI-Modell in Sachen Coding, Bild und Video so hergibt - und wo die Limits liegen:

In this episode, Prerna Singh, CPTO at Avaaz, walks us through how AI is reshaping the way we prototype, learn and build digital products. Rather than replacing teams or skipping straight to production, she argues that AI shines when used as a “thought partner” to accelerate early‑stage experimentation. Through her own journey building a community platform on weekends, she demonstrates how tools like ChatGPT, Lovable (and later Claude / Replet) and Figma AI enabled her to move from blank page to clickable prototype in hours — while retaining the human insight, iteration and context that underpin good product work. The conversation reframes common assumptions about “fast‑AI = bypass human work,” and instead proposes a balanced adoption path: start in “sandbox mode,” learn and play — before graduating to “architect mode” where the real value to business begins.Chapters00:00 – Introduction & AI's impact on product cycles01:43 – Meet Prerna Singh: her background in product and community building03:50 – The community problem: logistics over connection05:11 – Turning to AI to solve her own problem06:50 – What AI can't do: user insight and human judgment08:08 – From waterfall to short-cycle prototyping10:54 – Using ChatGPT as a Socratic thought partner13:07 – Working solo vs team: where AI fits17:17 – From prompt to prototype: using Lovable19:06 – Iterating with Figma AI and other tools23:00 – Real feedback from real users25:02 – Creating a feedback knowledge base with AI26:16 – AI vs design sprints: same principles, new toolsOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

In dieser Folge sprechen Tim und der deutsche Investor Florian Heinemann über die Ära der AI-Startups wie Lovable, Cursors oder Bolt und ihre Milliarden-Bewertungen. Mit seiner VC Company Project A hat Florian bereits in 130 Startups investiert und dieses Jahr einen neuen Fund mit 325 € Euro gestartet. Im Podcast erklärt, er warum Investoren sich niemals nur auf hohe Bewertungen verlassen sollten und worauf sie stattdessen schauen können. Jetzt reinhören!

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Minh Nguyen (@minhnxn). In this episode, we dive deep into the exciting world of AI and how it's revolutionizing the way we build businesses and gather information online.Minh, coming straight from the heart of tech in the Bay Area, shares his practical experiences using various Large Language Models like Claude, ChatGPT, and the often-overlooked Gemini for tasks ranging from coding to deep research.We explore his journey building Cash On, a powerful Chrome extension for real estate investors, and uncover the surprising potential of simple browser tools. Get ready to learn about AI-powered web scraping, the rise of directory websites and programmatic SEO, and how no-code platforms like Lovable and Bolt.new are empowering non-technical founders to bring their app ideas to life.Questions This Episode Answers:• What AI tools (like LLMs) do you use and for what specific purposes?• Why do you think people are "sleeping on" Gemini?• How can AI be utilized for web scraping and data acquisition?• What are some good types of app ideas to start with when using no-code or low-code tools?• How can I leverage my existing content (like podcast episodes) using AI?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Automating Data Collection for Real Estate02:59 Exploring AI Tools and Their Applications05:48 Building AI-Powered Web Scrapers09:10 The Future of Programmatic SEO12:07 Leveraging AI for Business Ideas14:54 Creating Chatbots for Business Analysis17:45 Building Without Coding: New Possibilities21:08 Frameworks for Identifying Business Opportunities

Busca cupón descuento LovableGemini PRO me dieron 4 meses gratis.Para crear FreenderLa estrategia de Lovable con 10 créditos extra si compartes y alguien se registra y publica una app.Como iPhone “Mandado desde iPhone” o Hotmail “Email gratis con Hotmail” o Dropbox 500mb gratis por usuario recomendado.Si compartes te saltas la cola de espera en Freender.Https://freender.topHttps://freender.lovable.appTransforma tu idea en una app gratis pidiéndoselo a la IA con Lovable:10 créditos extra gratis: https://borjagiron.com/lovableConviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/inteligencia-artificial-para-emprender--5863866/support.Newsletter Negocios con IA: https://negociosconia.substack.com/welcomeNewsletter Marketing Radical: https://marketingradical.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com

Dans cet épisode de Connected Mate, PPC et Alexandre explorent leurs meilleurs outils d'intelligence artificielle du moment, classés en trois catégories : les assistants généralistes, les outils de code, et les générateurs visuels.Ils commencent par ChatGPT, Manus, Perplexity et Notebook LM, en comparant leurs points forts et faiblesses. Alexandre dévoile comment il utilise ces IA au quotidien pour automatiser ses recherches, reformuler ses textes ou synthétiser des documents complexes.Puis direction le monde du code avec Cursor et Lovable. L'un est un véritable copilote pour développeurs, l'autre un outil plus “sexy” mais aux capacités plus limitées. Alexandre raconte comment il développe des apps iPhone sans être développeur, grâce à un système d'agents IA bien rôdé.Enfin, PPC et Alexandre s'attaquent aux IA visuelles, de Seelab à Sora 2, en passant par Higgsfield, et dressent un panorama puissant mais nuancé de ce que ces technologies permettent aujourd'hui… et de ce qu'elles ne permettent pas encore.Un épisode riche, concret et sans langue de bois.Pour suivre les actualités de ce podcast, abonnez-vous gratuitement à la newsletter écrite avec amour et garantie sans spam https://bonjourppc.substack.com Et pour découvrir l'ouvrage de PPC Réinventez votre entreprise à l'ère de l'IA, préfacé par Serge Papin, rdv ici https://amzn.to/4gTLwxSHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Tomer Cohen is the longtime chief product officer at LinkedIn, where he's pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He's also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: https://podcasts.apple.com/us/podcast/building-one-with-tomer-cohen/id1726672498—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Tomer Cohen(04:42) The need for change in product development(11:52) The full-stack builder model explained(16:03) Implementing AI and automation in product development(19:17) Building and customizing AI tools(27:51) The timeline to launch(31:46) Pilot program and early results(37:04) Feedback from top talent(39:48) Change management and adoption(46:53) Encouraging people to play with AI tools(41:21) Performance reviews and full-stack builders(48:00) Challenges and specialization(50:05) Finding talent(52:46) Tips for implementing in your own company(56:43) Lightning round and final thoughts—Referenced:• How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn): https://www.lennysnewsletter.com/p/how-linkedin-became-interesting-tomer-cohen• LinkedIn: https://www.linkedin.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Devin: https://devin.ai• Figma: https://www.figma.com• Microsoft Copilot: https://copilot.microsoft.com• Windsurf: https://windsurf.com• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• APB program at LinkedIn: https://careers.linkedin.com/pathways-programs/entry-level/apb• Naval Ravikant on X: https://x.com/naval• One Song podcast: https://podcasts.apple.com/us/podcast/%D7%A9%D7%99%D7%A8-%D7%90%D7%97%D7%93-one-song/id1201883177• Song Exploder podcast: https://songexploder.net• Grok on Tesla: https://www.tesla.com/support/grok• Reid Hoffman on X: https://x.com/reidhoffman—Recommended books:• Why Nations Fail: The Origins of Power, Prosperity, and Poverty: https://www.amazon.com/Why-Nations-Fail-Origins-Prosperity/dp/0307719227• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AGENDA: 04:20 Thrive and OpenAI Partnership  07:14 Databricks Raising $5BN at $134BN Valuation: Cheap or Not? 17:39 Eventbrite Acquired by Bending Spoons for $500M 21:39 Pagerduty's $1BN Market Cap, Just 2x Revenue 26:59 The TAM Trap: Why SaaS Is Like Japan 37:42 Lessons from Companies Hitting $100M ARR 44:57 The Future of Labour Markets is F****** 52:10 The Importance of Compounding in Investments 56:45 The Relevance Game in Venture Capital 01:05:01 Supabase at $5BN or Lovable at $6BN: Which One?  

Welcome back to another episode of Upside at the EUVC Podcast, where ⁠Dan Bowyer⁠,⁠ Mads Jensen⁠ of ⁠SuperSeed⁠, ⁠Lomax Ward⁠ of ⁠Outsized Ventures⁠⁠⁠, and this week's special guest Robin Haak break down the real stories behind the headlines shaping European tech and venture.Robin joins us as the founder of Robin Capital, an early employee at SmartRecruiters, angel in 100+ companies, including eight unicorns, and one of the most active emerging GPs in Europe. He brings deep operator insight, especially into the German ecosystem, politics, and economy, which this episode leans heavily into.We cover everything from UK policy signals to German recession warnings, AI dominance to Europe's bureaucratic drag, the rise of solo GPs, and why the next decade of tech will be won or lost on energy availability more than anything else.What's covered:04:00 EU wants to restrict social media for minorsThe team debates the proposals to ban or limit social media for children under 16, the mental health case, and the tension between safety and overreach.06:00 Surveillance creep & messaging regulationRobin explains concerning drafts that would've allowed governments to read private messages. The group breaks down the slippery slope of “protect the children” legislation.10:00 UK Budget: surprisingly startup-friendlyDan and Lomax unpack EMI reforms, EIS/VCT clarity, and why the market reacted calmly. Signals of a more innovation-forward UK emerge.12:45 Lovable.ai's VAT scandal & Europe's compliance mazeA Swedish engineer's viral post on LinkedIn sparks a discussion on Europe's inconsistent VAT rules, compliance complexity, and whether hypergrowth and European regulation can co-exist.17:00 N26's long struggle with German regulatorsRobin, an early angel, offers an insider's view on the fintech's challenges—BaFin restrictions, governance issues, and the counterfactual: “Would N26 be worth €20B if it were French?”20:00 Germany's big macro problem: stagnation + overloadA brutally honest breakdown of the German economy: energy scarcity, migration overload, rising welfare costs, labor shortages, and political paralysis.28:00 Education, welfare, pensions & the cost structure crisisRobin explains why Germany's systems are buckling: the collapse of PISA scores, overloaded municipalities, and an economic model no longer supported by productivity.33:00 Nuclear shutdowns & Europe's AI energy deficitWhy Germany shut down its safest reactors, how it backfired, and why France and the Nordics will become the new AI infrastructure hubs.40:00 Startup ecosystem: the good, the bad, the bureaucraticFrom Munich's deep tech boom to notary nightmares, ESOP fixes, GmbH limitations, and how founders are learning to hack the system.55:00 The rise of Solo GPsThe team discusses the American roots, European trajectory, operator funds, fund-of-funds appetite, and why founders increasingly prefer solo GPs.01:00:00 AI CornerOpenAI's trillion-dollar capex future, Google's TPU resurgence, Anthropic momentum, Michael Burry shorting AI (and why it's misguided), and the geopolitics of compute.

AGENDA: 04:06 Anthropic's $30BN Investment from Microsoft and NVIDIA 07:01 Google vs. OpenAI: Sam Altman's "War Mode" Memo 15:27 NVIDIA's Customer Concentration: Bull or Bear 22:12 Is "War Mode" BS: Does Hyper-Aggressive Ever Work? 36:12 Sierra Hits $100M ARR: Justify $10BN Price? 46:14 Implementation is the Biggest Barrier to Enterprise AI Growth 01:04:04 Is LLM Search Optimisation (GEO) Selling Snake Oil? What AI is a Fraud vs Real? 01:14:27 Figma Market Cap: Is the IPO Market F****** for 2026    

Le sujet :L'IA et le vibe coding ont révolutionné la création de side business : plus besoin d'être un expert de la tech pour lancer un site, une application ou un média. L'essentiel est ailleurs : savoir identifier les bonnes opportunités business et utiliser les meilleurs outils.L'invité du jour :Esther Moisy-Kirschbaum est responsable du développement de Magma, une newsletter d'identification de tendances et d'opportunités de business.Aux côtés de Matthieu Stefani, Esther et Christofer Ciminelli nous expliquent comment créer un side business rentable grâce au vibe coding et aux outils d'IA les plus accessibles.Découvrez : Pourquoi l'entrepreneuriat est un pilier de l'investissementComment identifier les opportunités de side businessQu'est-ce que le vibe coding et comment se lancerLes opportunités du faceless et du live shoppingComment combiner vibe coding, IA et APIAvantages :Bonne nouvelle ! Nous avons négocié pour vous un avantage exceptionnel. Avec le code BFLAMARTINGALE, obtenez 50% de réduction sur l'abonnement annuel à la newsletter Magma. Offre valable jusqu'au 31/12/2025 (au-delà, le code vous offre tout de même 50€ de réduction

In this special “build with me” episode, Aydin and Manuela walk through how Aydin used Lovable to build a unicorn-themed multiplication and division game with his nine-year-old twin daughters. They show how to go from a spoken idea to a working web app in minutes, then keep iterating to add playful design, timers, division mode, mix mode, and a leaderboard—using it as a fun way to teach kids both math and how to think and communicate clearly with AI.The episode closes with a push for parents, aunts, uncles, and anyone with kids in their lives to start doing, not just watching: use AI builders like Lovable as a playful way to get kids hands-on with AI, programming, and creative problem solving.Timestamps00:00 - Welcome to the episode01:07 – Why Aydin wants parents to teach kids AI through projects01:40 – Twin nine-year-olds and the idea for a multiplication game03:33 – Screen share: introducing Lovable and Super Whisper05:44 – Dictating the first prompt for the multiplication quiz08:13 – First working version of the game and scoring demo11:25 – Adding unicorn theme, confetti, poop emoji, and multiple choice13:49 – Using Lovable's free plan and email accounts for kids16:11 – Publishing the game and sharing it via a public link17:22 – Adding division mode, mix mode, and a timer22:12 – Demoing division mode and brainstorming a leaderboard24:38 – Explaining why the app now needs a database27:41 – Registration, login, and live leaderboards in action29:50 – “Now is the time to build” with tools like Lovable30:51 – Parting advice for parents, aunts, and uncles: start doing, not just watchingTools & Technologies Mentioned:Lovable (lovable.dev)Super WhisperLovable's built-in voice-to-textCloud database (via Lovable)Bolt.newClaudeChatGPTGoogle/Gmail family accounts for kidsFellow.aiSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

In this episode, Carlos Gonzalez de Villaumbrosia interviews Elena Verna, Head of Growth at Lovable—the fastest-growing AI startup to ever surpass $100M in ARR, hitting the milestone in just eight months. With a proven track record leading growth at Miro, Amplitude, Superhuman, and Dropbox, Elena brings unparalleled expertise in driving sustainable, product-led growth across both hyper-growth and turnaround environments.Elena shares how building in the fast-moving “vibe coding” category requires a radical shift in how we define product-market fit, structure growth teams, and measure success. From product-led monetization loops to redefining brand as a product responsibility, Elena outlines a bold vision for what growth looks like in the age of AI-native products.What you'll learn:How Lovable ships at record speed, with daily product updates and a 3-tier launch model.How AI-native products redefine activation, retention, and monetization.Why product teams must now own brand experience—not just featuresHow Elena designs feedback, education, and referral loops that turn users into growth engines.The evolving role of activation, retention, and monetization in AI-native PLG.Key Takeaways

For their 100th episode, Ray "Growth" Rike and Dave "CAC" Kellogg get philosophical, inspired by the notion that many hold, which is "nothing works" in B2B GTM anymore - especially in regards to pipeline development.They dive into the 2025 State of B2B GTM Report by Kyle Poyar and Maja Voijc to challenge this idea and find out what GTM leaders are actually prioritizing.In this episode, The Metrics Brothers break down:The State of the Market: Analyzing a survey of 195 GTM leaders, including data on small companies, growth rates, and the surprising lack of correlation between GTM motion and growth.The "Pipeline Crisis": Discussing why scaling existing GTM motions is the number one priority, even when many GTM leaders feel their current efforts aren't effective.Too Much Noise: A look at the "distraction chart" [slide 12] showing the staggering number of channels and strategies B2B companies are trying, and why the report suggests this is "too much".The Tried and True GTM Quadrant: Highlighting the activities with the biggest likelihood of impact, including Intimate Events, Intent-Based Inbound, and LinkedIn [slide 13].The Winner Take All Future: Exploring the massive trend of investing in Answer Engine Optimization (AEO) [slide 18] and breaking down tactical recommendations for optimizing for ChatGPT and other answer engines, emphasizing the importance of facts and platforms like Reddit and G2 [slide 19].Must Try GTM Tools: Reviewing the next generation of GTM tools, with a focus on cutting-edge platforms like Clay, Lovable, Sora, and Replit for data automation, outbound, and video generation [slide 29].Whether you're a Founder, CMO, CRO or GTM leader, this episode offers a data-driven look at where to focus your budget and attention in the year ahead.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ecco cosa è successo

Maor Shlomo is the Founder and CEO of Base44, the AI building platform that Maor built from idea to $80M acquisition by Wix, in just 8 months. Today the company serves millions of users and will hit $50M ARR by the end of the year. Before Base44, Maor was the Co-Founder and CTO of Explorium. AGENDA: 00:05 – 00:10: How Vibe Coding is Going to Kill Salesforce and SaaS 00:13 – 00:15: Do Vibe Coding platforms have any defensibility? 00:22 – 00:24: I am not worried about Replit and Lovable, I am worried about Google… 00:28 – 00:29: Margins do not matter, the price of the models will go to zero 00:31 – 00:32: Speed to copy has never been lower; has the technical moat been eroded? 00:47 – 00:48: How does Base44 beat Cursor? 00:56 – 00:57: Do not pay attention to competition: focus on your business 00:57 – 00:58: How Base44 is helped, not hurt by not being in Silicon Valley? 00:58 – 00:59: What percent of code will be written by AI in 12 months? 01:01 – 01:02: OpenAI or Anthropic: Why Maor is Long Anthropic? 01:03 – 01:04: If I could have any board member in the world it would be Jack Dorsey      

Pete Syme talks with Drew Falkman about vibe coding, a way for tour operators to build custom software tools using plain English prompts instead of traditional programming. Drew explains how AI tools like ChatGPT and Claude have been trained on code repositories, allowing them to generate working applications from simple descriptions. The conversation covers why this matters for small operators, what you can build, the learning curve, costs, security considerations, and how this technology could shift the relationship between tour operators and the software they depend on. Pete emphasizes that operators already have the same AI access as hundred million dollar companies and encourages spending at least an hour daily experimenting with these tools.Top 10 TakeawaysYou can build tools without coding knowledge. AI tools trained on code repositories can generate working applications from plain English descriptions, making app building accessible to anyone.Most SaaS tools don't fit your exact workflow. You end up paying for applications where 80% of features you're not using because they're designed for other industries, but the things you do use aren't quite refined enough.Start with internal workflows, not customer-facing apps. Build tools for internal processes first. Don't go public with what you build until you have experience, as you can get 80 to 90% correct quickly, but that last bit is more challenging.Map your processes before building. Write down all your processes on paper, rank what's most important, and list what you really don't like doing. This helps identify where custom tools can have the biggest impact.The learning curve has three main steps. First, learn to plan what you want to build (20 to 30 hours). Second, design the workflow and user interface (a few hours). Third, understand data and databases (a couple days). Total time to get comfortable is roughly a few weeks of focused learning.Tools like Lovable cost around $20 per month. There are small monthly fees for vibe coding platforms, plus hosting costs if your tool is public-facing. Tools like Lovable, Bolt, Replit, Magic Patterns, and N8n each serve different purposes.Keep data storage minimal for security. Don't store sensitive information like credit card numbers or social security numbers. Use third-party authentication (Google, Microsoft, Apple) and payment processors like Stripe to handle sensitive data.You can build custom booking flows and optimize conversions. Create your own booking engine where you control every step, then use analytics tools to see where people drop off and experiment with improvements to increase completion rates.This threatens the traditional SaaS industry. Large companies spending millions monthly on SaaS are already exploring vibe coding to reduce costs. What happens at that level will cascade down through the industry to the tools small operators use today.Just try it to understand the possibilities. Go to lovable.dev, run a prompt, and build something. You won't fully understand what you can do until you experiment. You have nothing to lose with free versions, and no one else will see your experiments.Want to learn vibe coding yourself? Drew teaches courses on building apps without code. Visit drewfalkman.com to explore free resources and paid courses that walk you through the process step by step.

Get our free Google Gemini bundle with our favorite prompts + workflows: https://clickhubspot.com/sce Ep. 380 Is Gemini 3 better than GPT-5? Kipp and Kieran dive into the seismic release of Gemini 3 and what it means for the future of marketing, search, and AI-driven business tools. Learn more on how Gemini's state-of-the-art multimodal reasoning unlocks custom interactive apps in search, why dynamic AI-generated UIs signal the end of the blue links era, and how marketers can leverage Gemini to automate research, customer insights, and content more effortlessly than ever before. Mentions Gemini 3 https://gemini.google.com/ ChatGPT 5 https://chat.chatbot.app/gpt5 Claude https://claude.ai/ Replit https://replit.com/ Lovable https://lovable.dev/ Fiverr https://www.fiverr.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

AGENDA: 04:47 Cursor Raises $2.3BN at $29BN Valuation 11:36 What Gemini 3 Means for Lovable, Cursor and Replit 30:54 Peter Thiel and Softbank Sell NVIDIA: The Bubble Bursting? 48:54 Oracle Credit Default Swaps: The Risk is Increasing 01:07:22 Stripe Does Tender at All-Time High: Why the Best Companies Will Never IPO 01:19:18 Why Retail WIll Cause a Surge of Capital into VC Funds  

There's a whole narrative right now that “vibe coding is a bubble” and all the MRR from AI-built apps isn't real.In this episode, we chat with Jacob Klug, founder of the agency Creme, which specializes in building lovable MVPs on top of tools like Lovable and AI coding assistants. Jacob makes the case that most of the “AI apps are trash” discourse is really a skill issue, not a tool issue—and he breaks down the exact process his team uses to ship full platform-level apps in two-week sprints.We dig into how to scope and design software that doesn't look AI-generated, how to think about personal operating systems vs. SaaS, why ideas are getting worse even as tools get better, and how creators and agencies can turn niche domain expertise into real products.If you're an operator, marketer, or founder trying to figure out how to actually use AI coding tools (instead of just tweeting about them), this one's for you.GuestJacob Klug — founder of Creme, an agency building “lovable MVPs” and full-stack products with Lovable + AI tools; helps founders, startups & enterprises ship production apps in weeks without sacrificing UX.Guest LinksWebsite: https://www.creme.digital/LinkedIn: https://www.linkedin.com/in/jacob-klug-37b254156/X (Twitter): https://x.com/JacobsklugWhat You'll LearnWhy the “vibe coding is a bubble” take is mostly a skill and discipline problemHow Jacob's agency ships full startup-grade products using Lovable and AIThe PRD-first formula they use before ever opening a builderHow to decide when to build vs. when to buy software in 2025Why we're entering a wave of personal OSes and custom internal toolsHow to avoid shipping janky AI UI and make your app look intentionally designedThe mindset shift from “I could build anything” → “I will build this one specific thing”Why specializing in one AI tool (Lovable, Cursor, n8n, etc.) beats being “the AI guy”Tactical content and lead-gen plays for agencies on LinkedIn and YouTubeHow to learn AI tooling without getting paralyzed by the infinite possibilitiesTimestamps00:00 — Vibe coding: bubble or breakthrough?02:23 — Effective use of no-code tools05:23 — Stack and scoping for MVP development07:08 — Trends in personal software development10:33 — Personal projects: blood work analysis tool13:00 — Steps to start building custom software17:49 — Successful and unsuccessful product categories21:01 — Learning and adopting AI tools27:45 — Creator collaboration in software development32:14 — Lead generation strategies for AI-powered agenciesKey Topics & Ideas1. Bubble or Skill Issue?Why early no-code/AI apps looked jankyHow tools like Lovable increased automation from ~50% → ~85%The remaining 10–15% where real engineering still mattersMany failures come from non-devs skipping fundamentals2. How Creme Builds Lovable MVPsEvery project starts with a clear PRD (often drafted with ChatGPT)AI is used to tighten scope before buildingWhen Creme stays fully in Lovable vs. moving code to CursorUsing Lovable Cloud for hosting, database, and analytics3. Personal Operating Systems & Internal ToolsPeople replacing SaaS subscriptions with their own custom toolsIn a 20-person cohort, nearly everyone built workflow appsRise of the Personal OS: one system for life + workExample builds:Bloodwork tracker from PDF uploadsUnified messaging CRM (WhatsApp, Telegram, SMS, email)Automated 30-second sales briefings4. How to Learn AI Coding ToolsHalf the cohort hadn't built anything before startingMain blocker: overwhelm, not skillLearn core concepts: frontend vs. backend, auth, roles, securityBuild daily reps, focus on the next thing you need—not “all of AI”5. Designing Apps That Don't Look AI-GeneratedGood design is still the hardest and biggest edgeCreme process: build a /components library, define buttons/cards/inputs, assign stable IDsTools: Mobbin, Figma Community kits, 21st.devBest prompt: “Here's a screenshot → copy this.”6. What Works in Product IdeasMost of Creme's builds are full startup platforms, not micro-toolsAI makes shipping easier, but ideas are getting worse without depthReal advantage = domain expertise + niche problem + AI speed7. Creators x SoftwareCreators can now ship products without capitalJacob prefers retainers over equityAnalogy: Like creator brands—most fail, a few go huge8. Career Strategy: SpecializeFuture = verticalized expertise, not “AI generalists”Specialist lanes: Lovable, Cursor, n8n, automationBe the person for one tool + one market9. Content & Lead GenJacob's two rules for content: people are selfish and people are boredBuild content that teaches, sparks emotion, and creates curiosityPost ~5x/week, prioritize visual postsLong-term: YouTube deep dives for high-intent inboundSponsorToday's episode is brought to you by Graphed – an AI data analyst & BI platform.With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one placeAsk:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you.

In this episode, Aydin sits down with Ryan McCready, who went from hating AI to becoming one of the most creative AI-powered content builders on the internet. After getting laid off in mid-2025, Ryan realized that every job interview demanded AI fluency. So he went all-in, teaching himself Zapier, Lovable, Supabase, and advanced prompting to engineer a “Content Factory” that turns a webinar into blog posts, clips, and social content in minutes.He shares the mindset shift from “AI is plagiarism” to “AI is an input-output engine,” why content engineering is the future, what makes AI workflows actually work, and how breaking big tasks into many small steps is the secret to non-sloppy AI content.You'll see how he built a 30-step Zapier workflow that analyzes a webinar transcript, extracts frameworks and insights, turns them into pitches, builds outlines, writes social posts, and even generates clip candidates for Descript. If you create content or run marketing—this one is a masterclass.Timestamps0:23.00 – Why he believed AI was a “plagiarism machine”2:04.00 – Getting laid off and realizing every employer wanted AI skills4:37.00 – The workflow that kickstarted his learning (LinkedIn voice extraction + employee advocacy shares)5:40.00 – Learning Lovable and Supabase by building real projects6:51.00 – Why “everyone is a builder now” because of AI tools7:52.00 – Introducing “Content Engineering” and why most marketers can't do it9:03.00 – Example: turning a webinar into 10+ pieces of content10:58.00 – Why webinars usually die after they're aired—and why that's a waste11:43.00 – The “Webinar Content Flywheel” teaser16:30.00 – Why Ryan moved back from n8n to Zapier17:55.00 – Zapier vs. n8n: simplicity, stability, and architecture19:03.00 – “Start small”: a two-step Zap example20:09.00 – Interface demo: uploading a transcript and hitting “Go”21:22.00 – Why Zapier Interfaces make deployment easy22:40.00 – Step-by-step breakdown of the workflow24:06.00 – Example: webinar analysis output (themes, chapters, frameworks)27:02.00 – Creating three blog pitches from the transcript30:43.00 – Sending the pitches to Slack for review31:03.00 – Clip extraction workflow + Descript integration32:14.00 – How he uses Descript's “Underlord” to auto-cut clips33:20.00 – Why this beats automated clip tools like Riverside for B2B35:02.00 – Social content workflow (framework angle, data angle, hot take, wildcard)37:12.00 – Why prompting manually is wasteful—build once, automate forever40:11.00 – “Big → small → big” framework: the secret to non-sloppy AI content41:21.00 – Google's “AI content penalty” myth, according to Ryan42:47.00 – Why your input quality determines whether your AI output is good43:44.00 – What excites him most in the next 12 monthsTools & Technologies MentionedZapier: Automation platform used to chain 30+ steps together: analysis, pitch creation, clip extraction, social content, Notion updates, etc.AI by Zapier: Zapier's built-in LLM module used for analysis, extraction, outline generation, and writing.n8n: Open-source workflow automation platform. Ryan tested it, but ultimately moved back to Zapier for stability and structure.Lovable: AI-enabled “vibe coding” tool that turns prompts into functional web apps.Supabase: A database + backend platform used for storing structured content data from builds.Descript (Underlord): Video editing tool with an AI agent that cuts clips based on transcript timecodes generated by the workflow.Notion: Used as the source of truth for storing transcripts, outlines, clip docs, and the full content tracker.Claude / ChatGPT: Used for second-pass expansion—turning outlines or social angles into fully polished blog posts and posts.Fellow.ai: AI meeting assistant—summarizes meetings, tracks decisions, and generates insights and performance summaries.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Decoding Shopify's Strategic Shift: What It Means for MerchantsIn Gartner's recent Magic Quadrant, Shopify has gained significantly in Execution and Vision. Whilst analyst reports shouldn't be seen as definitive, what's interesting is charting Shopify's fast ascent from challenger to leader.In this podcast, James & Paul look at the key strategic developments in 2025 that have fuelled this shift, and explore what they reveal about Shopify's direction of travel, as well as the implications for ecommerce teams.As Shopify continues to solidify its position as a market leader, understanding its strategic direction is crucial for businesses looking to leverage the platform effectively, as well as deciding if it's the right platform to bet on.What you'll get from the pod:Insightful analysis: get a deeper understanding of Shopify's strategic moves and how they impact the ecommerce landscape. Expert opinion: hear from industry experts as they dissect Shopify's latest initiatives. Actionable takeaways: discover practical insights that can help you leverage Shopify's capabilities.Key discussion points:AI and automation: Shopify's focus on AI capabilities aims to enhance automation and self-service, offering merchants new ways to streamline operations and improve customer experiences. Atlas AI store builder: empowers merchants to build stores with minimal developer support, expanding accessibility and innovation in store creation. Data strategy: Shopify's first-party data strategy is set to benefit advertising and customer insights, providing merchants with valuable data to drive decision-making. Payment focus: The integration with Lovable highlights Shopify's commitment to securing payment processes and enhancing brand awareness. Get James & Paul's informed perspective on how Shopify's strategic direction impacts your business.Key chapters:[00:30]- Introduction to Shopify's Strategy[03:30]- AI and Automation in Shopify[10:00]- Atlas AI Store Builder[16:00]- Shopify's Data Strategy[22:00]- Why Invest In Lovable?[28:00]- Omnichannel Experience

Scott's conversation with Freestyle Capital's Maria Palma ranges from venture capital hype cycles to ethics, engineering creativity, venture regret, and even the art of naming startups (“Cluster Fudge” stays). Palma also offers a personal take on her own journey—from GE supply chain to Harvard Business School to eventually discovering she was built for venture—all while keeping an engineer's mindset and a founder's empathy. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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In this special live Web Summit edition from Lisbon, I sit down with Tom Haworth, founder of D13 AI, to talk about why “good enough” AI might actually be one of the most dangerous places we can get stuck.And you'll hear Tom say it's time for the leaders of vibe coding platforms (e.g. Lovable, Replit, Cursor) to acknowledge that they're great when you need to “demo not memo”, but not great (today and maybe ever) at delivering production-grade, secure code. We also make a few detours as we detail a ridiculous week in Lisbon, including:How (shocker!) 90% of the conference was about AIWhy “good enough” AI is not a good place to beWhether we'll graduate to great AIAI's ROI now and in the futureWhy it's still iffy whether AI agents they can be trusted to accomplish complex jobsRobots wander Web Summit, do the Macarena, fall downHow tennis great Maria Sharapova uses (IBM's) AI How the presumptuous Web Summit's app prominently suggests we all message Maria… (as if!) Visa wants to help creators monetize (yay! it me!), using Web3 technologies (yes, they said “Web3”; no, I was not expecting to hear a non-ironic use of that phrase)Why self-driving cars are the best robots — and coming soon to more of EuropeHow much Web Summit pampers (and corrupts) the media: I was like a stuffed goose. Hurray for Portuguese custard and other delicacies!How even the beer at Web Summit was high tech---Featured voices:Tom Haworth: Founder of D13 AI, a UK-based consultancy that “builds intelligent tools that help businesses make sense of messy data.”Me (Dan Blumberg) — I'm the host of CRAFTED. and the founder of Modern Product Minds. HMU if you want to build something great. I love building from zero to one.---And if you please…Share with a friend! Word of mouth is by far the most powerful way for podcasts to growSubscribe to the CRAFTED. newsletter at crafted.fmShare your feedback! I'm experimenting with new episode formats and would love your honest feedback on this and other episodes. Email me: dan@modernproductminds.com or DM me on LinkedInSponsor the show? I'm actively speaking to potential sponsors for 2026 episodes. Drop me a line and let's talk.Get psyched!… There are some big updates to this show coming soon!

This episode is for entrepreneurs, small businesses, solopreneurs, creators, and consultants who feel overwhelmed by AI and don't know where to start. You'll learn how a completely non-technical founder used Generative AI to transform two businesses, pivot her career, and build AI-driven systems without writing a single line of code. In this episode of Open Tech Talks, host Kashif Manzoor speaks with UK-based entrepreneur Marnie Wills, whose journey with Generative AI began unexpectedly while franchising her children's PE business. A copywriting challenge introduced her to Jasper AI, and that single moment reshaped everything. Within two years, she used AI tools to fix messaging issues, transform her franchise model, exit her online fitness business, and finally launch her consulting practice. Marnie breaks down how she built her AI-first operating system using ChatGPT, Claude, Perplexity, Abacus AI, and NotebookLM. She explains why customizing your AI, training it on domain knowledge, and owning your data matters for the coming wave of agentic AI. She shares a powerful real example: building a full CRM + GPT workflow for a keynote speaker in 90 minutes using no-code tools. The system identifies events, drafts applications, and enables a VA to manage the entire pipeline, an example of how AI amplifies human roles rather than replacing them. The conversation also explores ethics, the myth of privacy, overwhelm in SMEs, and the misconception that AI = automation. Her philosophy is simple: AI should amplify humans first. Automation comes last. By the end, you'll understand why courses are no longer the main path, how "10,000 hours" has become "10,000 prompts," and why your next breakthrough may come simply from talking to an AI daily. Episode # 174 Chapters 00:00 Introduction to Marni Wills and Her Journey 02:49 The Impact of Generative AI on Business 06:03 Practical AI Implementation Strategies 08:51 Creating Custom AI Models and Data Ownership 11:56 Vibe Coding: No-Code Solutions for Entrepreneurs 14:38 Learning and Adapting in the AI Landscape 17:30 Ethics and Intellectual Property in AI 20:36 Common Challenges for Small Businesses 23:34 Future Skills in an AI-Driven World Today's Guest: Marnie Wills, Founder, Business with AI Strategist, AI Consultant & Trainer She is a multi-passionate entrepreneur and international athlete, dedicated to revolutionizing the integration of AI into everyday life and business. LinkedIn: MarnieWills What Listeners Will Learn: How a non-tech founder transformed two businesses using Jasper AI, ChatGPT, Perplexity, and agentic tools Why the AI-first mindset matters more than tools, coding, or technical background How to build your personal AI operating system using 5–6 core tools daily Why custom instructions, private models, and a "second brain" dramatically improve AI output Real examples of vibe coding and building no-code platforms with Lovable, Replit, and GoMocka How to reimagine your workday using AI as your Chief Operating Officer Why most people are "lazy AI users" and exactly how to avoid that trap Why automations should come last and why amplifying humans comes first The biggest challenge SMBs face (overwhelm) and the simplest way to begin The future of AI agents and agent-friendly websites Resources: MarnieWills

We have many amazing qualities that make us who we are. And it's the reason why we are so lovable! It's important to surround ourselves with those who love and support us. These are the people who will always be there for us, no matter what. They will encourage, uplift, and make us feel loved and valued. It's just as important to remember to love ourselves through positive talk and self-appreciation.

Join Jaeden and Jamie as they explore the meteoric rise of Lovable, an AI coding startup that's transforming the tech landscape. Discover how Lovable is empowering entrepreneurs with innovative tools, the challenges of security in AI development, and the exciting future of app creation. Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Eric Simons is the CEO and co-founder of StackBlitz, the company behind Bolt.new, which reached $40 million ARR in five months after launching in October 2024. Bolt.new is an AI-powered platform that allows anyone to build, edit, and deploy full-stack web applications directly in the browser.In this episode of World of DaaS, Eric and Auren discuss:The explosive growth from $0 to $40M ARRPioneering usage-based pricing for AI toolsCompeting with Replit, Lovable, and VercelBuilding WebContainers technology for seven yearsLooking for more tech, data and venture capital intel? Head to worldofdaas.com for our podcast, newsletter and events, and follow us on X @worldofdaas.You can find Auren Hoffman on X at @auren and Eric Simons on X at @EricSimons.Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

welcome to wall-e's tech briefing for tuesday, november 11th! dive into today's tech stories: lovable's rapid growth: the stockholm-based ai coding startup nears 8 million users, experiencing significant growth despite concerns over sustainability and traffic decline. kaltura's strategic acquisition: acquires eself.ai for $27 million to enhance its ai video platform with conversational avatar technology. wikipedia's api appeal: calls on ai companies to utilize its paid api to ensure responsible use and support for its nonprofit mission amidst increasing ai scraping. rad power bikes' financial challenges: faces potential shutdown without new funding or acquisition, highlighting broader micromobility industry struggles. stay tuned for tomorrow's tech updates!

In this episode of Crazy Wisdom, host Stewart Alsop sits down with Harry McKay Roper, founder of Imaginary Space, for a wide-ranging conversation on space mining, AI-driven software, crypto's incorruptible potential, and the raw entrepreneurial energy coming out of Argentina. They explore how technologies like Anthropic's Claude 4.5, programmable crypto protocols, and autonomous agents are reshaping economics, coding, and even law. Harry also shares his experiences building in Buenos Aires and why hunger and resilience define the city's creative spirit. You can find Harry online at YouTube, Twitter, or Instagram under @HarryMcKayRoper.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop welcomes Harry McKay Roper from Imaginary Space and they jump straight into space mining, Helium-3, and asteroid gold. 05:00 – They explore how Bitcoin could hold value when space mining floods markets and discuss China, America, and global geopolitics. 10:00 – Conversation shifts to Argentina, its economic scars, cultural resilience, and overrepresentation in startups and crypto. 15:00 – Harry reflects on living in Buenos Aires, poverty, and the city's constant hustle and creative movement. 20:00 – The focus turns to AI, Claude 4.5, and the rise of autonomous droids and software-building agents. 25:00 – They discuss the collapse of SaaS, internal tools, and Harry's experiments with AI-generated code and new workflows. 30:00 – Stewart compares China's industry to America's software economy, and Harry points to AI, crypto, and space as frontier markets. 35:00 – Talk moves to crypto regulation, uncorruptible judges, and blockchain systems like Kleros. 40:00 – They debate AI consciousness, embodiment, and whether a robot could meditate. 45:00 – The episode closes with thoughts on free will, universal verifiers, and a playful prediction market bet on autonomous software.Key InsightsSpace and Economics Are Colliding – Harry McKay Roper opens with the idea that space mining will fundamentally reshape Earth's economy. The discovery of asteroids rich in gold and other minerals highlights how our notions of scarcity could collapse once space resources become accessible, potentially destroying the terrestrial gold economy and forcing humanity to redefine value itself.Bitcoin as the New Standard of Value – The conversation naturally ties this to Bitcoin's finite nature. Stewart Alsop and Harry discuss how the flood of extraterrestrial gold could render traditional stores of value meaningless, while Bitcoin's coded scarcity could make it the only incorruptible measure of worth in a future of infinite resources.China and the U.S. in Industrial Tug-of-War – They unpack the geopolitical tension between China's industrial dominance and America's financial hegemony. Harry argues the U.S. is waking up from decades of outsourcing, driven by China's speed in robotics and infrastructure. This dynamic competition, he says, is good—it forces America to build again.Argentina's Culture of Hunger and Resilience – Living in Buenos Aires reshaped Harry's understanding of ambition. He contrasts Argentina's hunger to survive and create with the complacency of wealthier nations, calling the Argentine spirit one of “movement.” Despite poverty, the city's creative drive and humor make it a living example of resilience in scarcity.AI Is Making Custom Software Instant – Harry describes how Claude 4.5 and new AI coding tools like Lovable, Cursor, and GPT Engineer make building internal tools trivial. Instead of using SaaS products, companies can now generate bespoke software in minutes with natural language, signaling the end of traditional software development cycles.Crypto and AI Will Merge Into Incorruptible Systems – Harry envisions AI agents on-chain acting as unbiased judges or administrators, removing human corruption from law and governance. Real-world tools like Kleros, founded by an Argentine, already hint at this coming era of algorithmic justice and decentralized decision-making.Consciousness and the Limits of AI – The episode closes on a philosophical note: can a robot meditate or clear its mind? Stewart and Harry question whether AI could ever experience consciousness or free will, suggesting that while AI may mimic thought, the uniquely subjective and embodied nature of human awareness remains beyond automation—for now.

If you've ever caught yourself wondering, "Am I good enough? Lovable enough? Worthy enough?"... this episode is for you. Today, I'm diving into the powerful difference between external and internal validation, and how learning to validate yourself is the key to breaking free from codependency, people-pleasing, and enmeshment. When we rely on others to tell us who we are, we lose touch with our true selves. But when we start building that validation from within, everything changes: our confidence, our sense of worth, and the way we move through the world. In this episode, I share: How codependency develops when we seek our worth outside of ourselves Simple ways to practice self-validation every day Why internal validation becomes even more essential as we age How celebrating your small wins rewires your brain and boosts self-worth This episode is all about bringing it home. Finding your value from within and learning to celebrate the beautifully unique human you already are. ✨ Ready to deepen your connection with yourself? Join my free 30-Day Journaling Challenge at michellechalfant.com/journal and explore the power of daily reflection to build confidence, clarity, and self-trust.   Resources from this Episode: The Adult Chair book is NOW AVAILABLE!

Send us a textWhat if the voice you call “God” is actually your shame talking—and grace has been whispering under the noise the whole time? That question powers a raw, practical conversation with Dr. Kelly Flanagan, licensed clinical psychologist and author of Lovable, as we explore how men can trade ego armor for quiet strength and move from performance to presence.Ever think, “I'm just a guy… what real difference can I make?” You're not alone. But God isn't looking for perfect men — just obedient ones. Our I'm Just a Guy Bible study on YouVersion has helped 20,000+ men see how God uses ordinary guys to do extraordinary things.Check it out at thelionwithin.us/youversion or search The Lion Within Us directly in the Bible app.It's time to stop sitting on the sidelines.Step into the fight and become the man God called you to be. Join a brotherhood built on truth, strength, and action. Visit thelionwithin.us right now and start leading with boldness and purpose. Iron sharpens iron — let's go.

Ep. 376 This guest grew her Instagram from zero to over 418,000 followers in just a year—almost entirely on autopilot with AI-powered content repurposing. Kipp, Kieran, and guest Sabrina Romanov, of Blotato, dive into how solopreneurs and marketers can go from a simple app idea to launching viral lead magnets, driving traffic, and scaling their brand with AI, even if you don't have technical experience. Learn more on no-code “Vibe coding” tools to build micro apps, automation strategies for distributing your content across eight platforms, and the secret formula to creating content that actually gets noticed (and converts). Mentions Sabrina Romanov https://www.youtube.com/@sabrina_ramonov Blotato https://www.blotato.com/ Lovable https://lovable.dev/ Replit https://replit.com/ Zapier https://zapier.com/ Pegasystams https://www.pega.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Micky and I rank the top vibe coding apps in 2025, from Cursor and Claude Code to Lovable, V0, Bolt, Windsurf, and emerging mobile-focused platforms. They break down which tools work best for technical developers versus non-technical builders, discuss the trust and ecosystem factors that matter when choosing a platform, and share hard-won lessons about the mindset shift required to build software with AI assistance. Timestamps 00:00 – Intro 01:11 – Windsurf 03:46 – Cursor 06:33 – Lovable, v0, Bolt 10:17 – Mobile vibe coding: Rork, VibeCode App, Anything 15:04 – Codex 16:52 – Claude Code 18:28 – Replit 20:23 – Chef by Convex 21:39 – Advice for Vibe Coders Key Points Community size and tutorial availability matter as much as technical capability when choosing a vibe coding platform For technical developers, Cursor and Claude Code dominate; for non-technical builders, V0 offers the best balance of power and accessibility Mobile vibe coding platforms (Rourke, Vibe Code App, Anything) represent a new wave of opportunity, especially for consumer apps monetizing through TikTok discovery Non-technical builders need a mindset shift: building real software takes time, testing, and iteration—not five prompts Betting on a platform means betting on the team and founder behind it; follow their vision to choose the right tool The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MIC ON SOCIAL X/Twitter: https://x.com/rasmickyy  Youtube: https://www.youtube.com/@rasmic

I've tested over 500 AI tools, and most are a waste of time.But in this episode, I'll show you the ones that actually help grow your business.These are the exact tools I'm using across my companies to save time, boost productivity, and scale faster than the competition.✅ Get access to my Executive Assistant Playbook: https://go.danmartell.com/43EQAR7

Get Kyle's Top 1% ChatGPT Marketing Stack (free): https://clickhubspot.com/khv Ep. 374 Is ChatGPT the most impactful tool in the marketer's tech stack? Kieran and Kyle Poyar, creator and writer of Growth Unhinged, dive into the revolutionary ways marketers and go-to-market teams are using generative AI to transform their workflow—faster, smarter, and with more impact than ever before. Learn more on how marketers are leveraging ChatGPT for persona research with deep context, creating differentiated product positioning, and optimizing growth experiments to make better business decisions. Mentions Kyle Poyar https://www.linkedin.com/in/kyle-poyar Growth Unhinged https://www.growthunhinged.com/ ChatGPT https://chatgpt.com/ Clay https://www.clay.com/ Lovable https://lovable.dev/ Jellyfish https://jellyfish.co/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Sometimes, you only need one smart idea to change your whole business. On this episode, I talked with Bill McIntosh, an entrepreneur and tech builder, about how fast things are moving with A.I. and business. We broke down how people can build websites, sales funnels, and apps (even full businesses) with just a few prompts thanks to new A.I. technologies. Bill brought in real stories, lessons, and numbers from his hands-on experience and explained the concept of “vibe coding”—a fresh way people are creating online today. If you're wondering how to use A.I. to start or grow your own website, app, or business, you'll find plenty of practical ideas here.Topics DiscussedAI-Assisted Creation: How the evolution of AI is enabling rapid website, app, and sales funnel creation—even for non-technical entrepreneurs.Vibe Coding Explained: Bill demystifies the concept of “vibe coding,” discussing its opportunities and potential pitfalls.Entrepreneurial Principles: The timeless business fundamentals Bill still relies on—even as technology changes.Solving Real Problems: A step-by-step approach to using research and online communities to identify business opportunities and create solutions.Challenges of AI Tools: Early adopter experiences with AI coding platforms, and the need for more accessible, user-friendly solutions.Buildy AI: Bill introduces his new venture, detailing how it helps entrepreneurs launch and scale digital businesses easily.App & Funnel Creation: Practical tips and stories around building sales funnels, websites, and custom apps with AI.Fundraising & Startup Growth: Insights into scaling a tech company through fundraising versus bootstrapping.The Future of AI Entrepreneurship: Predictions for industry adoption, and how “one prompt” could unleash creative and business potential for anyone.Resources MentionedBuildy AI: https://www.buildy.ai/Base44: https://base44.com/Lovable: https://lovable.dev/Replit: https://replit.com/GitHub: https://github.com/Hustle & Flowchart is proud to be part of the HubSpot Network.Hubspot has launched a whole new suite of AI Tools, check them on the Hubspot Spotlight: https://www.hubspot.com/spotlightCheck out other podcasts on the HubSpot Podcast Network: https://www.hubspot.com/podcastnetwork

This season has been stupid, but it's been fun.

Dhanji R. Prasanna is the chief technology officer at Block (formerly Square), where he's managed more than 4,000 engineers over the past two years. Under his leadership, Block has become one of the most AI-native large companies in the world. Before becoming CTO, Dhanji wrote an “AI manifesto” to CEO Jack Dorsey that sparked a company-wide transformation (and his promotion to CTO).We discuss:1. How Block's internal open-source agent, called Goose, is saving employees 8 to 10 hours weekly2. How the company measures AI productivity gains across technical and non-technical teams3. Which teams are benefiting most from AI (it's not engineering)4. The boring organizational change that boosted productivity even more than AI tools5. Why code quality has almost nothing to do with product success6. How to drive AI adoption throughout an organization (hint: leadership needs to use the tools daily)7. Lessons from building Google Wave, Google+, and other failed products—Brought to you by:Sinch—Build messaging, email, and calling into your product: https://sinch.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Dhanji R. Prasanna:• LinkedIn: https://www.linkedin.com/in/dhanji/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Dhanji(05:26) The AI manifesto: convincing Jack Dorsey(07:33) Transforming into a more AI-native company(12:05) How engineering teams work differently today(15:24) Goose: Block's open-source AI agent(20:18) Measuring AI productivity gains across teams(21:38) What Goose is and how it works(32:15) The future of AI in engineering and productivity(37:42) The importance of human taste(40:10) Building vs. buying software(44:08) How AI is changing hiring and team structure(53:45) The importance of using AI tools yourself before deploying them(55:13) How Goose helped solve a personal problem with receipts(58:01) What makes Goose unique(59:57) What Dhanji wishes he knew before becoming CTO(01:01:49) Counterintuitive lessons in product development(01:04:56) Why controlled chaos can be good for engineering teams(01:08:07) Core leadership lessons(01:13:36) Failure corner(01:15:50) Lightning round and final thoughts—Referenced:• Jack Dorsey on X: https://x.com/jack• Block: https://block.xyz/• Square: https://squareup.com/• Cash App: https://cash.app/• What is Conway's Law?: https://www.microsoft.com/en-us/microsoft-365-life-hacks/organization/what-is-conways-law#• Goose: https://github.com/block/goose• Gosling: https://github.com/block/goose-mobile• Salesforce: https://www.salesforce.com/• Snowflake: https://www.snowflake.com/• Claude: https://claude.ai/• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• OpenAI: https://openai.com/• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Llama: https://www.llama.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Top Gun: https://www.imdb.com/title/tt0092099/• Lenny's vibe-coded Lovable app: https://gdoc-images-grab.lovable.app/• Afterpay: https://github.com/afterpay• Bitkey: https://bitkey.world/• Proto: https://github.com/proto-at-block• Brad Axen on LinkedIn: https://www.linkedin.com/in/bradleyaxen/• Databricks: https://www.databricks.com/• Carl Sagan's quote: https://www.goodreads.com/quotes/32952-if-you-wish-to-make-an-apple-pie-from-scratch• Google Wave: https://en.wikipedia.org/wiki/Google_Wave• Google Video: https://en.wikipedia.org/wiki/Google_Video• Secret: https://en.wikipedia.org/wiki/Secret_(app)• Alien Earth on FX: https://www.fxnetworks.com/shows/alien-earth• Slow Horses on AppleTV+: https://tv.apple.com/us/show/slow-horses/umc.cmc.2szz3fdt71tl1ulnbp8utgq5o• Fargo TV series on Prime Video: https://www.amazon.com/Fargo-Season-1/dp/B09QGRGH6M• Steam Deck OLED display: https://www.steamdeck.com/en/oled• Doc Brown: https://backtothefuture.fandom.com/wiki/Emmett_Brown—Recommended books:• The Master and Margarita: https://www.amazon.com/Master-Margarita-Mikhail-Bulgakov/dp/0802130119• Tennyson Poems: https://www.amazon.com/Tennyson-Poems-Everymans-Library-Pocket/dp/1400041872/Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

Chip Huyen is a core developer on Nvidia's Nemo platform, a former AI researcher at Netflix, and taught machine learning at Stanford. She's a two-time founder and the author of two widely read books on AI, including AI Engineering, which has been the most-read book on the O'Reilly platform since its launch. Unlike many AI commentators, Chip has built multiple successful AI products and platforms and works directly with enterprises on their AI strategies, giving her unique visibility into what's actually happening inside companies building AI products.We discuss:1. What people think makes AI apps better vs. what actually makes AI apps better2. What pre-training vs. post-training is, and why fine-tuning should be your last resort3. How RLHF (reinforcement learning from human feedback) actually works4. Why data quality matters more than which vector database you choose5. Why high performers are seeing the most gains from AI coding tools6. Why most AI problems are actually UX issues—Brought to you by:Dscout—The UX platform to capture insights at every stage: from ideation to production: https://www.dscout.com/Justworks—The all-in-one HR solution for managing your small business with confidence: https://ad.doubleclick.net/ddm/trackclk/N9515.5688857LENNYSPODCAST/B33689522.423713855;dc_trk_aid=616485030;dc_trk_cid=237010502;dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=;gdpr=$Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Chip Huyen:• X: https://x.com/chipro• LinkedIn: https://www.linkedin.com/in/chiphuyen/• Website: https://huyenchip.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Chip Huyen(04:28) Chip's viral LinkedIn post(07:05) Understanding AI training: pre-training vs. post-training(08:50) Language modeling explained(13:55) The importance of post-training(15:20) Reinforcement learning and human feedback(22:23) The importance of evals in AI development(31:55) Retrieval augmented generation (RAG) explained(38:50) Challenges in AI tool adoption(43:19) Challenges in measuring productivity(45:20) The three-bucket test(49:10) The future of engineering roles(55:31) ML Engineers vs. AI engineers(57:12) Looking forward: the impact of AI(01:05:48) Model capabilities vs. perceived performance(01:08:23) Lightning round and final thoughts—Referenced:• Chip's LinkedIn post on what actually improves AI apps: https://www.linkedin.com/posts/chiphuyen_aiapplications-aiengineering-activity-7358971409227792384-y0mf/• Prediction and Entropy of Printed English: https://www.princeton.edu/~wbialek/rome/refs/shannon_51.pdf• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody•Inside the expert network training every frontier AI model | Garrett Lord (Handshake CEO): https://www.lennysnewsletter.com/p/inside-handshake-garrett-lord• First interview with Scale AI's CEO: $14B Meta deal, what's working in enterprise AI, and what frontier labs are building next | Jason Droege: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course): https://www.lennysnewsletter.com/p/why-ai-evals-are-the-hottest-new-skill• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Stanford webinar—How AI Is Changing Coding and Education, Andrew Ng & Mehran Sahami: https://www.youtube.com/watch?v=J91_npj0Nfw• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Lenny's vibe-coded app made on Lovable: https://gdoc-images-grab.lovable.app/• Story of Yanxi Palace: https://www.imdb.com/title/tt8865016/• Steve Jobs's quote: https://www.goodreads.com/quotes/427317-remembering-that-i-ll-be-dead-soon-is-the-most-important—Recommended books:• The Complete Sherlock Holmes: https://www.amazon.com/Complete-Sherlock-Holmes-Volumes/dp/0553328255• AI Engineering: Building Applications with Foundation Models: https://www.amazon.com/AI-Engineering-Building-Applications-Foundation/dp/1098166302• The Selfish Gene: https://www.amazon.com/Selfish-Gene-Anniversary-Introduction/dp/0199291152• From Third World to First: The Singapore Story: 1965-2000: https://www.amazon.com/Third-World-First-Singapore-1965-2000/dp/0060197765—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com