Podcasts about replit

New episode with my good friends Sholto Douglas & Trenton Bricken. Sholto focuses on scaling RL and Trenton researches mechanistic interpretability, both at Anthropic.We talk through what's changed in the last year of AI research; the new RL regime and how far it can scale; how to trace a model's thoughts; and how countries, workers, and students should prepare for AGI.See you next year for v3. Here's last year's episode, btw. Enjoy!Watch on YouTube; listen on Apple Podcasts or Spotify.----------SPONSORS* WorkOS ensures that AI companies like OpenAI and Anthropic don't have to spend engineering time building enterprise features like access controls or SSO. It's not that they don't need these features; it's just that WorkOS gives them battle-tested APIs that they can use for auth, provisioning, and more. Start building today at workos.com.* Scale is building the infrastructure for safer, smarter AI. Scale's Data Foundry gives major AI labs access to high-quality data to fuel post-training, while their public leaderboards help assess model capabilities. They also just released Scale Evaluation, a new tool that diagnoses model limitations. If you're an AI researcher or engineer, learn how Scale can help you push the frontier at scale.com/dwarkesh.* Lighthouse is THE fastest immigration solution for the technology industry. They specialize in expert visas like the O-1A and EB-1A, and they've already helped companies like Cursor, Notion, and Replit navigate U.S. immigration. Explore which visa is right for you at lighthousehq.com/ref/Dwarkesh.To sponsor a future episode, visit dwarkesh.com/advertise.----------TIMESTAMPS(00:00:00) – How far can RL scale?(00:16:27) – Is continual learning a key bottleneck?(00:31:59) – Model self-awareness(00:50:32) – Taste and slop(01:00:51) – How soon to fully autonomous agents?(01:15:17) – Neuralese(01:18:55) – Inference compute will bottleneck AGI(01:23:01) – DeepSeek algorithmic improvements(01:37:42) – Why are LLMs ‘baby AGI' but not AlphaZero?(01:45:38) – Mech interp(01:56:15) – How countries should prepare for AGI(02:10:26) – Automating white collar work(02:15:35) – Advice for students Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Intercom's CPO Paul Adams joins The Product Experience to talk about how the company has radically transformed its approach in the wake of AI's acceleration. From ripping up roadmaps and reorganising teams to reinventing pricing models, Paul shares what it really takes to adapt—fast.Key takeaways"You're not selling users anymore. You're selling work."AI has shifted Intercom's business model from seat-based to outcome-based pricing—charging per resolution, not per person."We ripped up our strategy five days after ChatGPT launched."Intercom made a bold, immediate pivot to reorient its product and vision around AI, including launching a new website and scrapping existing roadmaps."The only thing that's persisted is our principles."While teams, triads and structures were dismantled, Intercom kept its core product principles intact—like 'start with the problem'."This isn't evolution—it's a new species of company."Intercom now compares itself to AI-native startups, not its former self. It has rebuilt the product team into flexible, role-fluid workstreams."People have left because it's not for them."The pace of change has human costs. Leadership must communicate directly and honestly to support people through radical transformation."I worry I'll be left behind too."Even senior leaders are actively relearning—Paul admits to using tools like Replit and Lovable to stay current with AI-native UX trends.Chapters00:00 – Opening thoughts: fear of being left behind in the AI era00:18 – Introduction to the episode and Paul Adams01:00 – Paul's journey from Google and Facebook to Intercom01:51 – What it's like to witness Intercom evolve over 11+ years02:22 – The energy and disruption brought on by AI03:17 – From seat-based to value-based pricing: the big shift05:06 – Why AI made Intercom rethink everything, fast07:58 – Sales team challenges: retraining to sell a new model09:43 – The business impact: Fin's rapid growth and dual-model tension11:02 – What it means to “sell work” instead of licences12:58 – New kinds of jobs emerging around AI tooling14:45 – Ripping up process: how Intercom builds products now16:00 – Competing with AI-native startups, not legacy Intercom17:49 – The one thing that stayed: Intercom's product principles18:54 – Why starting with the problOur 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.

Episode 59: Can artificial intelligence accurately predict the next billion-dollar startup? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) are joined by Jager McConnell (https://www.linkedin.com/in/jager/), CEO of Crunchbase and a leading product and data innovator in the tech and investment landscape. In this episode, the hosts dive deep into how Crunchbase has evolved into an AI-powered platform for investors, sales teams, job seekers, and anyone looking to get ahead in the startup ecosystem. Jager shares details on Crunchbase's cutting-edge prediction engine, which uses proprietary data, AI, and machine learning to forecast company fundraising, acquisitions, growth, and more. Find out how data signals can reveal when companies are preparing to raise rounds, how sales teams and investors can identify trends before the crowd, and why democratizing predictive analytics might reshape the entire investing world. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI-Driven Corporate Prediction Engine (03:43) Predicting Company Fundraising Timelines (06:50) Predictive Accuracy in Fundraising (11:15) API Prediction Score Integration (12:23) Programmatic Insights with Crunchbase (15:42) User Data to Investment Shift (20:58) Future AI Industry Heat Score (23:38) AI-Driven Business Workflow Evolution (27:20) AI-Driven Sales Conversations (29:41) Crunchbase Trends and Rankings (31:53) Podcast Appreciation and Subscription Invitation — Mentions: Want to create your own AI Agents? Get the playbook here: https://clickhubspot.com/dkc Jager McConnell: https://www.crunchbase.com/person/jager-mcconnell Crunchbase: https://www.crunchbase.com/ TensorFlow: https://www.tensorflow.org/ Replit: https://replit.com/ Cursor: https://www.cursor.com/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Aparna Chennapragada is the chief product officer of experiences and devices at Microsoft, where she oversees AI product strategy for their productivity tools and work on agents. Previously, she was the CPO at Robinhood, spent 12 years at Google, and is also on the board of eBay and Capital One.What you'll learn:1. How “prompt sets are the new PRDs” and why prototyping with AI is now essential for effective product development2. The three key characteristics of AI agents: autonomy (delegation of tasks), complexity (handling multi-step challenges), and natural interaction (conversing beyond simple chat)3. Why NLX (natural language experience) is the new UX, requiring deliberate design principles for conversational interfaces4. Why the PM role isn't dying in the AI era—it's evolving to emphasize tastemaking and editing5. How living “one year in the future” can be operationalized with programs like Microsoft's Frontier6. How even traditional enterprises can balance cutting-edge AI adoption with appropriate governance through dual-track approaches7. Insights on leadership differences between Microsoft's Satya Nadella (known for multi-level thinking and early trendspotting) and Google's Sundar Pichai (mastery of complex ecosystems)8. The vision for human and AI collaboration in the workplace, where people and agents achieve outcomes greater than either could alone9. A practical framework for evaluating zero-to-one product opportunities—Brought to you by:Eppo—Run reliable, impactful experimentsPragmatic Institute—Industry‑recognized product, marketing, and AI training and certificationsCoda—The all-in-one collaborative workspace—Where to find Aparna Chennapragada:• X: https://x.com/aparnacd• LinkedIn: https://www.linkedin.com/in/aparnacd/—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 Aparna Chennapragada(04:28) Aparna's stand-up comedy journey(07:29) Transition to Microsoft and enterprise insights(10:00) The Frontier program and AI integration(13:28) Understanding AI agents(17:59) NLX is the new UX(22:28) The future of product development(31:16) Building a custom Chrome extension(35:45) Leadership styles of Satya and Sundar(37:47) Counterintuitive lessons in product building(41:20) Inflection points for successful products(45:16) GitHub Copilot and code generation(48:34) Excel's enduring success(50:27) Pivotal career moments(54:55) The future of human-agent collaboration(56:25) Lightning round and final thoughts—Referenced:• Google Lens: https://lens.google/• Saturday Night Live: https://www.nbc.com/saturday-night-live• Reid Hoffman on LinkedIn: https://www.linkedin.com/in/reidhoffman/• Robinhood: https://robinhood.com/• eBay: https://www.ebay.com/• Capital One: https://www.capitalone.com/• Microsoft: https://www.microsoft.com/• Aparna's LinkedIn post about enterprise vs. consumer: https://www.linkedin.com/posts/aparnacd_every-enterprise-user-feature-has-a-shadow-activity-7321176091610542080-8X-E/• The Epic Split: https://en.wikipedia.org/wiki/The_Epic_Split• AI Frontiers: https://www.microsoft.com/en-us/research/lab/ai-frontiers/• 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• Deepseek: https://www.deepseek.com/• Satya Nadella on LinkedIn: https://www.linkedin.com/in/satyanadella/• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• Tobi Lütke's post on X about reflexive AI: https://x.com/tobi/status/1909251946235437514• GitHub Copilot: https://github.com/features/copilot• Sundar Pichai on LinkedIn: https://www.linkedin.com/in/sundarpichai/• South Park “Underwear Gnomes” episode: https://southpark.cc.com/episodes/13y790/south-park-gnomes-season-2-ep-17• Google Home: https://home.google.com/welcome/• Cursor: https://www.cursor.com/• v0: https://v0.dev/• Bolt: https://bolt.net/• Lovable: https://lovable.dev/• Replit: https://replit.com/• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• 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• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Microsoft Excel World Championship: https://fmworldcup.com/microsoft-excel-world-championship/• Google Now: https://en.wikipedia.org/wiki/Google_Now• Hacks on Max: https://www.max.com/shows/hacks/67e940b7-aab2-46ce-a62b-c7308cde9de7• Granola: https://www.granola.ai/• Alan Kay quote: https://www.brainyquote.com/quotes/alan_kay_100831• Sindhu Vee's website: https://sindhuvee.com/• Nate Bargatze's website: https://natebargatze.com/—Recommended book:• A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains: https://www.amazon.com/Brief-History-Intelligence-Evolution-Breakthroughs/dp/0063286351—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. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

May 14th, 2025. I talk about receiving the official first run of FIGHT NIGHT, my Affirm account getting hacked, 1StopBedrooms' impeccable customer service, deciding not to go to London, and using Replit to build out my AI project.

W szóstym odcinku "Limitów AI" rozmawiamy o kryzysie na polskim rynku IT – czy mamy już do czynienia z krachem, czy jedynie z korektą? Z czego to się bierze i na czym właściwie polega? Dlaczego polskie firmy zwalniają programistów? Jakiego typu firmy? Jakich programistów? Czy ten trend się utrzyma? Co można przewidywać? Do jakiego stopnia to zasługa AI, a do jakiego tańszej siły roboczej z Wietnamu, Meksyku, Egiptu, Argentyny czy Indii? Jak te zmiany wpływają na pracę programisty? Ile jest warta ta praca? Jakiej pracy biznes przestaje potrzebować, a jakiej poszukuje i nie może znaleźć? Co dziś musi umieć robić programista, aby wnosić wartość, której nie daje AI? Jak używać rozwiązań typu Cursor, Windsurf czy Replit? Jakie zadania i procesy warto augmentować? Naszym gościem jest Wiktor Żołnowski – Co-CEO i Co-Founder Pragmatic Coders (zał. 2014), wcześniej Co-Founder Code Sprinters (zał. 2007). Doświadczony przedsiębiorca, menadżer, agile coach i programista. Inwestor i twórca startupów (m.in. Health Folder / Teczka Pacjenta). Pasjonat efektywności. link do postu Wiktora na LinkedIn, który omawiamy: https://www.linkedin.com/posts/wiktorzolnowskiczytam-tutaj-ostatnio-sporo-post%C3%B3w-programist%C3%B3w-activity-7322240527582539776-wwd Special Guest: Wiktor Żołnowski.

Will AI replace God, steal your job, and change your future? Amjad Masad, Bret Weinstein, and Daniel Priestley debate the terrifying warning signs, and why you need to understand them now.  Amjad Masad is the founder and CEO of Replit, the world's leading online programming environment and community. Daniel Priestley is a serial entrepreneur and advises fast-growing companies on innovation, marketing, and the future of work in the age of AI. Bret Weinstein is an evolutionary biologist, expert in complex systems and host of the DarkHorse Podcast. In this debate, they explain:  Why AI threatens 50% of the global workforce. How AI agents are already replacing millions of jobs and how to use them to your advantage. How AI will disrupt creative industries and hijack human consciousness. The critical skills that will matter most in the AI-powered future. What parents must teach their kids now to survive the AI age. How to harness AI's power ethically. 00:00 Intro 07:14 What Is an AI Agent? 09:11 Who Is Bret and What Are His Views on AI? 12:58 Who Is Dan? 14:42 Where Are the Boundaries? 15:56 What Could AI Potentially Do? 17:01 Bret's Concerns: AI and a New Species 19:33 The Disruptive Potential of AI in Its Current Form 20:33 Is AI Just a Tool? 21:38 Those Who Leverage AI Will Be the Winners 25:15 What Abuse Are We Currently Seeing? 30:57 The Collateral Damage of AI 39:08 What Will Happen to Humans? 42:15 Which Jobs Will Be Replaced by AI? 45:34 Could AI Development Affect Western Economies? 49:00 Is AI Removing Our Agency? 57:39 Will Authenticity Be More Valued in the AI Era? 59:16 Will Markets Become Fairer or More Unbalanced? 1:03:45 The Economic Displacement 1:05:45 Worldcoin and the Case for Universal Basic Income 1:11:47 Are We Losing Meaning and Purpose? 1:14:44 AI's Impact on Loneliness, Relationships, and Connection 1:18:57 Can Education Adapt to the AI Era? 1:26:07 What Should AI Teach Our Children? 1:31:19 Ads 1:32:20 Is This Inevitable? 1:38:18 Will We Start Living Like House Cats? 1:44:44 Hyper-Changing World: Are We Designed for It? 1:50:25 The 5 Key Threats of AI 1:51:51 Deepfakes and AI Scams 1:59:43 An Optimistic Take on the AI Era 2:03:37 AI for Business Opportunities 2:08:34 Ads 2:10:32 AI Autonomous Weapons 2:17:59 Do We Live Among Aliens or in a Simulation? 2:21:31 How to Live a Good Life in the AI Era

Today we're in conversation with Siddhant Mehta, Project Manager at Skanska, to explore how AI is transforming construction. From choosing the right tools to critiquing SaaS pricing models, Sid shares insights on tech adoption, AI coding, and the future of project management.00:46 – Sid's Journey AbroadSid Mehta shares his story from Mumbai to the U.S., managing multimillion-dollar projects and finding his place in construction management.02:03 – Building Tech NetworksHow Skanska leverages emerging tech groups, vendor evaluations, and peer networks to spread innovation across teams.03:55 – Tech Adoption RealitiesSid challenges perceptions of slow adoption in construction, highlighting why pilot projects need time to show results.05:14 – The Feedback GapWhy construction tech tools often miss the mark, and how missing field feedback hurts tool development.06:43 – Choosing the Right ToolSid explains why not every tech solution fits every project, stressing the importance of aligning tools with project type and phase.09:06 – SaaS Pricing RantA frank critique of SaaS pricing in construction, questioning project-based fees versus simpler subscriptions.12:00 – Naming Names (Kinda) A playful yet pointed critique of familiar industry pricing models—without naming names (but we all know who).17:05 – Rise of AI CodingExploring tools like Replit, Claude, and Cursor, and the rise of “vibe coding” in construction tech and software development.23:02 – AI's Development ImpactHow AI coding shifts the role of developers, and why front-end engineering faces more disruption than back-end.28:00 – Data Centers & DemandHow AI's growth drives demand for data centers, reshaping infrastructure needs for GPUs, power, and cooling.35:00 – Environmental ImpactsA look at the ecological consequences of data center expansion, from water usage to energy demands.40:48 – AI Saves the DayReal-world examples of AI replacing executive assistants, saving hours on email, scheduling, and admin tasks in construction.45:00 – Skanska's Internal AIHow Skanska built internal chatbots to automate project schedules, saving schedulers hours every week.47:26 – Ripple Effect of AISid reflects on how AI's time savings can scale across thousands of employees, transforming workflows organization-wide.50:00 – Marketing's AI ShiftWhy SEO strategies are changing in an AI world, and how creative content is being reshaped by generative tools.54:00 – AI's Rapid AccelerationClosing thoughts on how quickly AI is evolving, and why getting on board now is key for construction leaders.Go build something awesome!CHECK OUT THE PARTNERS THAT MAKE OUR SHOW POSSIBLE: https://www.brospodcast.com/partnersFIND US ONLINE: -Our website: https://www.brospodcast.com -LinkedIn:   / constructionbrospodcast   -Instagram:   / constructionbrospodcast    -TikTok: https://www.tiktok.com/@constructionbrothers?lang=en-Eddie on LinkedIn:   / eddie-c-057b3b11   -Tyler on LinkedIn:   / tylerscottcampbell  If you enjoy the podcast, please rate us on Apple Podcasts or wherever you listen to us! Thanks for listening!

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu examine the growing phenomenon of "vibe coding" - a new AI-powered approach to software development that allows anyone to create functional applications by simply describing what they want in natural language. They discuss how tools like Lovable, Cursor, and Replit are making it possible to build complex, multi-file projects in minutes without writing a single line of code. Through live demonstrations, they show how this technology is making software development accessible to non-programmers while also exploring the potential impacts, benefits, and risks for higher education institutions.Introduction to Vibe Coding (00:00:06)Definition of vibe coding as a new paradigm in software developmentHow developers can create applications through natural language promptsOrigins in February 2023 with Andrew Karpathy's tweet about this approachThe paradigm shift from traditional coding to conversation-based developmentThe Evolution of Vibe Coding Tools (00:04:03)The meaning behind the term "vibe" - describing the output and guiding the processHow vibe coding differs from AI code assistantsOverview of leading tools including Cursor, Lovable, Replit, and Claude ArtifactsThe rapid growth of companies like Cursor (reaching $300 million in revenue)How Vibe Coding Works in Practice (00:10:31)The workflow: describe what you want, AI generates code, review, refineDemonstration of multifile project capabilitiesHow developers at Element451 are incorporating these toolsBuilding integrations without needing to understand APIs in detailLive Demonstration of Vibe Coding (00:22:10)Showcase of a compound improvement calculator built with LovableDemonstration of an AI agent demo landing page created in minutesCreation of a task management app for McDonald's employees with bonus trackingHow tools handle authentication, camera integration, and user managementThe Technical Aspects and Limitations (00:32:17)How the tools handle publishing and hosting applicationsIntegration with databases through services like SupabaseThe iterative refinement process when errors occurNew features allowing fine-grained control over componentsImplications for Higher Education (00:36:43)How non-technical staff at universities could build their own applicationsPotential for rapid prototyping of student-facing toolsExamples like grade appeal chatbots or orientation sign-up systemsOpportunities for micro-apps to solve specific campus problemsRisks and Challenges (00:41:14)Potential security and privacy concerns with generated codeMaintenance challenges for vibe-coded applicationsQuestions about ownership and governance of applicationsThe concept of "disposable software" that's cheaper to rebuild than maintainFuture Outlook and Getting Started (00:47:28)The expansion of "vibe" approaches to other domains like marketingRecommendations for experimenting with tools like LovableThe importance of human review for securityEncouraging safe experimentation with these accessible tools - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

Subscribe at Thisnewway.com to get the step-by-step AI workflows.In episode 2 of This New Way, Felipe Izquierdo, CEO of Quest, explains how a small, boot-strapped team runs both an educational game studio and a cohort-based learning program by leaning on AI for almost every function — prototyping multiplayer math games in hours instead of weeks, automating high-touch parent emails, and even building a 24/7 “executive-coach” phone agent from scratch.Along the way he shares the exact stacks (Cursor, Replit, Zapier, Anthropic, Twilio, 11 Labs) and design choices that let three people operate like fifty.Timestamps00:00 Felipe's path from non-technical founder to AI-assisted coder01:28 What Quest does and why AI keeps the team lean03:28 How AI shrinks game-prototype cycles from weeks to hours08:34 Daily workflow: Cursor, Replit, Super Whisper voice coding & Mac dictation14:00 Learning to code faster via screenshot-driven ChatGPT tutoring16:58 Show & Tell #1: Zapier + Anthropic email-drafting pipeline (live demo)30:59 Show & Tell #2: Building and calling “Maximo,” a voice executive-coach agent41:48 Future bets: voice as the primary UI and AI-only workflowsResources & Tools Mentioned:Coding & Prototyping: Cursor, Replit, Devin (reference), GitHub PR reviewsVoice / Dictation: Super Whisper (Mac), macOS built-in dictation, 11 Labs Voice & Conversational AI, OpenAI Real-Time APIAutomation & LLMs: Zapier (Zaps), Anthropic Claude, Google Sheets / Airtable, Twilio (SMS & voice)Products & Links:Quest math & strategy games – joinquest.comAI executive coach “Maximo” – meetmaximo.com

Today I break down Vibe Marketing, I explain how it leverages AI agents and workflows to execute marketing tasks that previously required large specialized teams. I outline essential tools for the Vibe Marketing toolkit including Replit, n8n, Gumloop, Manus, Claude, and OpenRouter, then shares practical workflows for content creation, sales automation, and data analysis that marketers can implement immediately. Get ideas, tools, and tactics to 10x your marketing: https://www.skool.com/the-vibe-marketers Episode Timestamps: 00:00 - Intro 01:24 - What is Vibe Marketing 02:34 - Why is Vibe Marketing happening NOW? 04:05 - Vibe Marketing Toolkit overview 10:51 - Practical workflows and examples 19:31 - The Future of Marketing (next 12-18 months 21:07 - Qualities of a good Vibe Marketer 21:38 - Learn more about Vibe Marketing Key Points: • Vibe Marketing combines vibe coding tools with AI agents and workflows to automate marketing campaigns • The convergence of improved AI, accessible automation tools, and collapsed custom tool costs has made Vibe Marketing possible • Small marketing teams using Vibe Marketing can accomplish what previously required much larger teams • Vibe Marketing will evolve to resemble high-frequency trading with AI agents working 24/7 1) What is Vibe Marketing? It's the combination of vibe coding tools (Bolt, Replet, Lovable) with workflow automation (Gumloop, Manus, N8n) to create AI-powered marketing campaigns. "Marketing will resemble high-frequency stock trading in the near future." 2) The Vibe Marketing Toolkit To get started, you'll need: • Vibe coding tools (Replit, Bolt, Lovable) • Workflow automation (N8n, Gumloop, Flow) • AI assistants (Manus, Claude) • Model router (OpenRouter) • Visual generation (Sora, ChatGPT ImageGen) Pro tip: Create a scorecard to track which AI models excel at specific marketing tasks! 3) The Future of Marketing (next 12-18 months): • Interconnected AI systems working together • Manager agents trained by human experts • Small teams accomplishing what required 50+ people • Goal-oriented systems ("Get me 50k visitors") • Real-time adaptation to market opportunities 4) What makes a good Vibe Marketer? • Think in SYSTEMS, not campaigns • Test relentlessly (50-100 variations, not just 2) • Front-load value in everything you create • Build once, distribute forever • Let machines handle the boring stuff 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 Sale: http://boringmarketing.com/ Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.co FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND BORING MARKETER ON SOCIAL: X/Twitter: https://x.com/boringmarketer

Episode 701: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk about Nick Saban's car dealership play, plus the most defensible ideas for AI startups.  — Show Notes:  (0:00) Car dealership billionaires (13:35) Local Maxima (17:07) Most defensible AI ideas right now 34:40) AI workflows for profitable newsletters (43:10) Spermracing  — Links: • Want to make $ with AI? Get the database here: https://clickhubspot.com/bfu • John Elway - https://www.elwaydealers.com/  • Lovable - https://lovable.dev/  • Replit - https://replit.com/ • Bolt - https://bolt.new/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

NLW builds off an essay by Replit's Gian Segato arguing that in a world where AI is the ultimate specialist in everything, agency becomes the most important determinant of success. Source: https://www.piratewires.com/p/agency-is-eating-the-worldGet Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The Automation Platform for AI Experts - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

API docs used to be by and for developers. Now, non-technical people use AI tools to build integrations into our SaaS products. We need to rethink how we communicate with them (and the AI agents that write their code).The blog post: https://thebootstrappedfounder.com/your-api-documentation-is-not-for-developers-anymore/ The podcast episode: https://tbf.fm/episodes/your-api-documentation-is-not-for-developers-anymoreCheck 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

Beyond the sales pitches, acronyms, and product talk, what does it mean to be a financial planner? In this episode of the Rational Reminder Podcast, we sit down with long-time industry leader and advocate Jason Pereira. Jason is a Canadian financial planner with over 20 years of experience, dual CFP certification (Canada and US), and a passion for professionalizing the field. In our conversation, Jason shares details about his client-centred investment philosophy, explains why fiduciary duty is foundational, and unpacks the complexities of index fund adoption in Canada. We also delve into the barriers to transparent, evidence-based advice, the true role of a financial planner, the impact of the Fintech revolution, and the pros and cons of mortality pooling. He also challenges common myths surrounding financial planning, shares best practices for vetting financial advisors, and explains why the industry is long overdue for a transformation. Join us for career insights, cautionary tales, and forward-looking ideas that challenge the conventional thinking of what financial planning is, with Jason Pereira! Key Points From This Episode:   (0:05:13) Jason's core investment philosophy and perspective on factor-based indexing. (0:07:15) Environmental, Social, and Governance (ESG) trends and client conversations. (0:12:36) What fiduciary duty means, why it matters, and why some institutions fight against it.  (0:18:09) Unpack the complexities of why Canada is behind the US in index fund adoption. (0:20:52) Learn about the true role and common misconceptions of a financial planner. (0:24:30) Explore how technology and the rise of generative AI are changing financial planning. (0:31:55) How advisors can maintain strong personal relationships with clients in a digital world. (0:37:00) Find out what a high-quality financial plan looks like and what it covers. (0:39:44) His favourite financial planning-related argument to get into on the internet. (0:41:20) Uncover how mortality and annuities should influence financial planning. (0:48:06) Permanent life insurance explained: best use cases and when to avoid. (0:50:48) Jason shares his nerdiest and most broadly applicable financial planning advice. (0:53:29) He explains the best practices for estimating a client's life expectancy.  (0:56:48) A breakdown of financial planner designations and how to vet a financial planner. (1:03:59) Hear about his expert witness work and the costs of bad advice. (1:08:55) Discover why Jason chooses to fight against financial misinformation online. (1:11:18) The origins and vision of FPAC and Jason's definition of success.    Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder Website — https://rationalreminder.ca/  Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on X — https://x.com/RationalRemind Rational Reminder on TikTok — www.tiktok.com/@rationalreminder Rational Reminder on YouTube — https://www.youtube.com/channel/ Rational Reminder Email — info@rationalreminder.ca Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://pwlcapital.com/our-team/ Cameron on X — https://x.com/CameronPassmore Cameron on LinkedIn — https://www.linkedin.com/in/cameronpassmore/` Jason Pereira — https://jasonpereira.ca/ Jason Pereira on Facebook — https://facebook.com/jasonpereirafinancialplanner/ Jason Pereira on X — https://x.com/jasonpereira Jason Pereira on LinkedIn — https://linkedin.com/in/pereirajm Jason Pereira on YouTube — https://youtube.com/@jasonperieraFP The Fintech Impact Podcast — https://jasonpereira.ca/the-fintech-impact-podcast-jason-pereira Conquest Planning — https://conquestplanning.com/en-ca/home Replit — https://replit.com/ FP Canada — https://fpcanada.ca/ Financial Planning Association of Canada (FPAC) — https://fpassociation.ca/ Episode 188: Prof. Ayelet Fishbach — https://rationalreminder.ca/podcast/188 Episode 236: Harold Geller — https://rationalreminder.ca/podcast/236   Papers From Today's Episode:    ‘Current Practices for Risk Profiling in Canada and Review of Global Best Practices' — https://osc.ca/sites/default/files/2021-02/iap_20151112_risk-profiling-report.pdf ‘Financial Risk Tolerance: A Psychometric Review' — https://dx.doi.org/10.2139/ssrn.3088292

When reports like Adecco's Global Workforce of the Future survey find that the average saving for workers using AI is 1 hour a day, we should question this. * What did those workers do with their time savings? * Should that time savings benefit the employer or the employee?* Can we trust such a hard-to-measure stat?Our latest episode tackles this and other disruptions happening to the creative and production processes. Matthew Krissel is the Co-Founder of the Built Environment Futures Council and a Principal at Perkins&Will. For over two decades, he has led transformative architectural projects across North America and internationally. We discussed how AI is disrupting architecture and lessons for digital product teams. He really struck powerful points many times during our conversation about questioning the role of time and permanence in a world when we want more, faster.Other points covered in the conversation:* Commoditizing design makes production easier, enabling societies to tackle challenges like housing shortfalls* Commoditizing design devalues other vital processes, like community engagement, respectful place-making, and longevity of projects* Over-indexing AI's potential as a workflow optimizer, while under-indexing the potential to reimagine how complex projects are planned and operationalizedListen on Spotify | Listen on Apple PodcastsIn this newsletter, I'd like to tackle the concept of time saving and what it means from the perspective of crafting an AI strategy. Here was the most important quote from the episode: So just because something took half the time it did before, what happened is we just did more. So we just filled the time. Is there something higher and better use? I suspect that somewhere along the line the designs got better. Also I suspect that somewhere along there was diminishing returns. We were just doing more because we could not that it was actually yielding anything better.  Are you gonna focus on fewer, but better increase your quality? Are you going to spend more time on business development or some entrepreneurial side hustle? Just go home early? What you decide to do as we start to gain productivity time is going to shape a lot of where this is all happening.Newsletter recommendation: Scott BelskyEssential insights and lessons from Scott Belsky that anyone building with AI must read. His newsletter is fantastic and a must-subscribe because of his unique cross-section of expertise across creativity, product, and innovation. His books have also always been pivotal reads to advance your craft. Hopefully, we can do some of the same with our Design of AI podcast and newsletter. Who should benefit most from your ability to learn AI: You or your employer?The challenge to creatives and builders is to decide who should benefit from these transformative technologies if you're self-taught:* Should you gift your employer the benefits if you've taught yourself ways of getting 25% more work accomplished in a day?* Should you gift yourself the benefits of your increased productivity and work on side projects, or spend more time with your family?Historically speaking, employers were responsible for the means and training of production. They paid for novel technologies —desktops, SaaS, big data— and were responsible for training you on how to use them. AI is different because employers are often lagging behind employees in embracing and educating on how to use the technology effectively. It is very easy to argue that the 200 hours you've spent learning AI outside of work hours should exclusively benefit you.AI Time Savings: Benefits & RisksTechnologies have consistently saved us time, but the resulting effects have been questionable. The internet and mobile phones connected the world, while also leading to increased poor health outcomes due to more time sitting. We also spend more time alone than ever.Further back, the Industrial Revolution raised the quality of life for everyone. Still, the commoditization of work led to industrialists exploiting child labour and putting everyone into deplorable working conditions that polluted communities. The time the workforce saved most benefited employers, with employees giving up their ways of life in favour of steady incomes. Most relocated to cities, got cut off from their families, and learned the pain of commuting for the first time.When it comes to AI, the benefits we hope for centre on automation and augmentation. The hope is that we will benefit from less shitty work (automated away) and that we can our new capabilities (augmented by AI) will enable us all become wealthy entrepreneurs. Sure, this may be true for the top 0.01% of AI users who learn how to run a typically 10-person business by themselves. For the rest of us our work may in fact get a lot shittier. At least that's what the authors of the upcoming book, The AI Con, believe. The authors (and upcoming Design of AI guests), Alex Hanna and Emily M. Bender tell a tale of how AI's risks have been severely hidden under the rug. In their book, they document many examples of the technology performing so poorly at tasks that products were shut down within weeks.Maybe the future of businesses will look a lot like Amazon: A business offering endless products of questionable quality and provenance with no humans in sight except those working the worst possible jobs in sorting information, like something out of Severance. In this scenario, the majority of humans will be employed as mall cops of the technology, swooping in when a problem happens that slips between the programming and policies. At this point, AI hypers would argue that even if the enshittification of work is inevitable, AI will open up new and better types of jobs. Only time will tell. How does AI change our relationship with time?When buying productivity-boosting hardware and software, the expectation has always been that the results are undeniable. Going from handwriting to using a typewriter was immensely faster. The same is true when buying a new Saas platform that makes managing projects infinitely easier. Now, with GenAI-powered products, the ROI is unpredictable. The vast majority of capabilities deliver the illusion of rapid progress. Think of image and video generation —the immediate results are shockingly impressive. But getting results to be production-ready requires mastery of probabilistic software and/or resetting your expectations. It all means that the operator —you— ultimately plays a bigger role in the ROI of using this technology than with previous ones.So-called Vibe coding is a major testament to the time savings that AI can create. Anyone can now build a website and app without writing a line of code.Vibe coding platforms —like Cursor, Lovable, Replit, and many more— are fantastically easy to use… until they're absolutely painful to use. The stunning early rewards turn into confusingly broken components all over.Again, results depend on the operator's ability to debug using an entirely new interface paradigm (conversational). This continues the technology's remarkable inversion of the value paradigm, where workers define the quality of outputs.Looking ahead, mastery of data will triumph over mastery of interfaces. This favours employers who unlock the power of their first-party data and build solutions that augment and automate the expertise of their employees.Always worth reading, strategist and tech critic Tom Goodwin posted an intriguing analysis on LinkedIn this week. At the core of the guiding philosophy regarding AI-assistance is that the more complex the task, the less qualified AI is to work on the task unassisted.Check our previous podcast episode and newsletter for more details on how to unlock the power of your data. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit designofai.substack.com

Today I'm joined by Jay Singh, AI expert and founder of Casper Studios, to explore how AI is transforming both product creation and internal workflows for creators and businesses alike.We dive deep into the future of personalized software, unlocking AI use cases for creators, and building tools with platforms like Cursor, MindStudio, and Replit. Jay shares how creators can implement fast, practical automations to save time, boost output, and stay ahead in a rapidly changing AI landscape.You'll learn how to identify your best automation opportunities, spin up AI-driven products from transcripts and meeting notes, and use AI to turn raw data into insight, revenue, and leverage.Timestamps:00:00 – Introduction02:17 – Why AI Helps 95% of Tasks—but Gets Used for 50%06:12 – Creators, Voice, and the Future of AI08:33 – Jay's Background at Microsoft & LinkedIn10:09 – The 3-Step Framework for AI Product Thinking13:26 – Automating Finance, Accounting & Accuracy18:02 – How Jay's Agency Designs AI Workflows20:19 – Zapier, MindStudio & Real AI Implementations24:36 – Going From Transcript to Product Requirements in Minutes27:11 – V0, Cursor & AI Product Design Workflows33:07 – Kit's App Store Vision & The Future of Personalized Software38:15 – Building AI Tools Without Knowing the Future42:24 – AI Tools Every Creator Should Be Using45:42 – Meeting Transcripts → LinkedIn Content48:19 – AI-Powered Weekly Metrics Reports for Creators51:06 – How to Spot Your Own Automation Opportunities55:09 – Why Everyone Thinks Their Job is “Safe” From AIIf you enjoyed this episode, please like and subscribe, share it with your friends, and leave us a review. We read every single one.Learn more about The Nathan Barry Show: https://nathanbarry.com/showFollow Nathan:Instagram: https://www.instagram.com/nathanbarryLinkedIn: https://www.linkedin.com/in/nathanbarryX: https://twitter.com/nathanbarryYouTube: https://www.youtube.com/@thenathanbarryshowWebsite: https://nathanbarry.comFollow Jay:LinkedIn: https://www.linkedin.com/in/jaysinghX: https://x.com/JSingh_08Website: https://casperstudios.xyzFeatured in this episode:MindStudio: https://mindstudio.comCursor: https://cursor.shV0: https://v0.devFireflies: https://fireflies.aiReplit: https://replit.comKit: https://kit.com

In this episode we talk about getting started. Founding a company means you are constantly learning to do new things, like hiring and selling. How do you handle these new situations where you have no experience? How do you avoid mistakes? We are here to help! In this episode we answer questions including:How is AI changing the nature of work?How do you stay ahead of how fast AI is changing today?Will my data advantage still be an advantage in the future?Can AI really replace employees for me?All of these questions were submitted by listeners just like you. You can submit questions for us to answer on our website TheStartupHelpdesk.com or on X/Twitter @thestartuphd - we'd love to hear from you!Your hosts:Sean Byrnes: General Partner, Near Horizon www.nearhorizon.vcAsh Rust: Managing Partner, Sterling Road www.sterlingroad.comNic Meliones: CEO, Navi www.heynavi.comReminder: this is not legal advice or investment advice.Q1: How is AI changing the nature of work?AI has transformed daily workflows across every part of the startup journey. From first drafts of sales and marketing copy, to deep research using tools like ChatGPT and Perplexity, it's become the first step for many creative processes. Internal tooling has gotten faster with tools like Replit and Cursor, while product discovery now often starts with AI instead of Amazon. Whether it's coding, devOps, or customer discovery, AI gives founders leverage.Q2: How do you stay ahead of how fast AI is changing today?The key is to stay focused on your customer. While tech shifts rapidly, true customer pain changes slowly. Solve real, urgent problems—and use AI tools along the way to stay nimble. It's totally fine to use APIs like OpenAI's or wrap an existing model. The winning strategy? Build something valuable today, and keep evolving it with your users.Q3: Will my data advantage still be an advantage in the future?"Proprietary data" is losing its edge. Even Bloomberg's private GPT underperformed public models. Unless your data is restricted, hyper-niche, or massive, it's probably not a moat. What matters more is how well you deliver value to users—accuracy, speed, experience, and reliability. That's your real advantage.Q4: Can AI really replace employees for me?It's not about replacing people—it's about hiring the right combination of people and AI. Founders need to build the muscle of managing both. The real opportunity is in learning when to hire a human, and when to "hire" an AI tool. Treat AI as an employee that never sleeps, but still needs thoughtful management. We are already seeing plenty of instances where founders are using AI to replace content marketing teams. Furthermore, there is a trend towards smaller engineering teams, with engineers using AI tools to complement and accelerate their efforts.

Amjad Masad set out more than a decade ago to pursue the dream of unleashing 1B software creators around the world. With millions of Replit users pre-ChatGPT, that vision was already becoming a reality. Turbocharged by LLMs, the vision of enabling anyone to code—from 12-year-olds in India to knowledge workers in the U.S.—seems less and less radical. In this episode, Amjad explains how an explosion in the developer population could change the economy, society and more. He also discusses his early days programming in Jordan, his unique management approach and what AI will mean for the global economy. Hosted by David Cahn and Sonya Huang, Sequoia Capital  Mentioned in this episode: On the Naturalness of Software: 2012 paper on applying NLP to code  Attention Is All You Need: Seminal 2017 paper on transformers I Am a Strange Loop: 2007 follow up to Douglas Hofstadter's 1979 classic Gödel, Escher, Bach that explores how self-referential systems can describe minds On Lisp: Paul Graham's 1993 book on the original programming language of AI

Interview with Keach Hagey The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's Latest Funding Round Comes With a $20 Billion Catch Startup Founder Claims Elon Musk Is Stealing the Name 'Grok' Elon Musk Says He Has Sold X to His A.I. Start-Up xAI Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year AI: history of a brand by Thomas Haigh Bloomberg Has a Rocky Start With A.I. Summaries First Trial of Generative AI Therapy Shows It Might Help With Depression Tinder wants you to chat with an AI bot before you fail with a real person Twitter (X) Hit by 2.8 Billion Profile Data Leak in Alleged Insider Job The hottest AI models, what they do, and how to use them Amazon Said to Make a Bid to Buy TikTok in the U.S. (Oh, no) Andreessen Horowitz in talks to help buy out TikTok's Chinese owners Trump to hold a meeting on possible investors to buy TikTok with possible ban at stake Amazon unveils Nova Act, an AI agent that can control a web browser Get ready! Catch Coachella 2025 live, only on YouTube Amazon Nova Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes AI accent conversion Kat Abughazaleh, from YouTube to Congress? Wurst cursor The fastest, most-accurate fast-food drive-throughs, and more! Hosts: Leo Laporte, Jeff Jarvis, and Richard Campbell Guest: Keach Hagey Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit bigid.com/im

Welcome to The Daily Deal — the new show with Harry Stebbings and Jason Lemkin, where we break down the biggest stories in tech, venture, and B2B. From market meltdowns to billion-dollar raises, wild valuations, and the drama behind the deals. We're covering it all! Plus, we'll be joined by some incredible guests to go deeper on the moves shaping the future of our industry.  Today we discuss:  Tech stocks were hammered in late trading today in response to the Trump administration's plans to levy tariffs of between 10% and 49% on imported goods, with Apple shares falling more than 6%. Rippling Deal: Illegal or Hustle? Emergence Raises $1B for B2B Investments Cursor, Replit, Windsurf: Who Wins? Lots of gen AI startups are crossing into the $100M ARR club. The latest entrant is talent marketplace Mercor, last valued at $2B. Is triple triple double double dead? ScaleAI at $25B: Pricey or Potential?  Discussion with Bhavin Shah @ Moveworks: ServiceNow Acquires Moveworks for $2.5B: AI Craze Continues Sequoia Makes 25x on Wiz: Is M&A Open Again? USD Stablecoin issuer Circle has filed to go public. The company, which has raised $1.2 billion in VC money, reported $1.7 billion in 2024 revenue, with $155.7 million in net income. Oracle Cloud Revenue Up 23%: Old Guard Wins in AI? Salesforce Customers Love AgentForce, But Will They Pay? Dustin Moskovitz Retires from Asana: Is SaaS Too Tough? Discussion with Andrew Feldman @ Cerebras: Coreweave's Redemption Provision: A Time Bomb for Coatue? Can OpenAI's $12B Deal Save Coreweave from $5B Loss? OpenAI Won't Profit Until $127B in Annual Revenue A lot of young founders raising big in chips; bullish or bullshit?    

Interview with Keach Hagey The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's Latest Funding Round Comes With a $20 Billion Catch Startup Founder Claims Elon Musk Is Stealing the Name 'Grok' Elon Musk Says He Has Sold X to His A.I. Start-Up xAI Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year AI: history of a brand by Thomas Haigh Bloomberg Has a Rocky Start With A.I. Summaries First Trial of Generative AI Therapy Shows It Might Help With Depression Tinder wants you to chat with an AI bot before you fail with a real person Twitter (X) Hit by 2.8 Billion Profile Data Leak in Alleged Insider Job The hottest AI models, what they do, and how to use them Amazon Said to Make a Bid to Buy TikTok in the U.S. (Oh, no) Andreessen Horowitz in talks to help buy out TikTok's Chinese owners Trump to hold a meeting on possible investors to buy TikTok with possible ban at stake Amazon unveils Nova Act, an AI agent that can control a web browser Get ready! Catch Coachella 2025 live, only on YouTube Amazon Nova Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes AI accent conversion Kat Abughazaleh, from YouTube to Congress? Wurst cursor The fastest, most-accurate fast-food drive-throughs, and more! Hosts: Leo Laporte, Jeff Jarvis, and Richard Campbell Guest: Keach Hagey Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit bigid.com/im

Interview with Keach Hagey The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's Latest Funding Round Comes With a $20 Billion Catch Startup Founder Claims Elon Musk Is Stealing the Name 'Grok' Elon Musk Says He Has Sold X to His A.I. Start-Up xAI Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year AI: history of a brand by Thomas Haigh Bloomberg Has a Rocky Start With A.I. Summaries First Trial of Generative AI Therapy Shows It Might Help With Depression Tinder wants you to chat with an AI bot before you fail with a real person Twitter (X) Hit by 2.8 Billion Profile Data Leak in Alleged Insider Job The hottest AI models, what they do, and how to use them Amazon Said to Make a Bid to Buy TikTok in the U.S. (Oh, no) Andreessen Horowitz in talks to help buy out TikTok's Chinese owners Trump to hold a meeting on possible investors to buy TikTok with possible ban at stake Amazon unveils Nova Act, an AI agent that can control a web browser Get ready! Catch Coachella 2025 live, only on YouTube Amazon Nova Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes AI accent conversion Kat Abughazaleh, from YouTube to Congress? Wurst cursor The fastest, most-accurate fast-food drive-throughs, and more! Hosts: Leo Laporte, Jeff Jarvis, and Richard Campbell Guest: Keach Hagey Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit bigid.com/im

Interview with Keach Hagey The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's Latest Funding Round Comes With a $20 Billion Catch Startup Founder Claims Elon Musk Is Stealing the Name 'Grok' Elon Musk Says He Has Sold X to His A.I. Start-Up xAI Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year AI: history of a brand by Thomas Haigh Bloomberg Has a Rocky Start With A.I. Summaries First Trial of Generative AI Therapy Shows It Might Help With Depression Tinder wants you to chat with an AI bot before you fail with a real person Twitter (X) Hit by 2.8 Billion Profile Data Leak in Alleged Insider Job The hottest AI models, what they do, and how to use them Amazon Said to Make a Bid to Buy TikTok in the U.S. (Oh, no) Andreessen Horowitz in talks to help buy out TikTok's Chinese owners Trump to hold a meeting on possible investors to buy TikTok with possible ban at stake Amazon unveils Nova Act, an AI agent that can control a web browser Get ready! Catch Coachella 2025 live, only on YouTube Amazon Nova Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes AI accent conversion Kat Abughazaleh, from YouTube to Congress? Wurst cursor The fastest, most-accurate fast-food drive-throughs, and more! Hosts: Leo Laporte, Jeff Jarvis, and Richard Campbell Guest: Keach Hagey Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit bigid.com/im

Interview with Keach Hagey The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's Latest Funding Round Comes With a $20 Billion Catch Startup Founder Claims Elon Musk Is Stealing the Name 'Grok' Elon Musk Says He Has Sold X to His A.I. Start-Up xAI Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year AI: history of a brand by Thomas Haigh Bloomberg Has a Rocky Start With A.I. Summaries First Trial of Generative AI Therapy Shows It Might Help With Depression Tinder wants you to chat with an AI bot before you fail with a real person Twitter (X) Hit by 2.8 Billion Profile Data Leak in Alleged Insider Job The hottest AI models, what they do, and how to use them Amazon Said to Make a Bid to Buy TikTok in the U.S. (Oh, no) Andreessen Horowitz in talks to help buy out TikTok's Chinese owners Trump to hold a meeting on possible investors to buy TikTok with possible ban at stake Amazon unveils Nova Act, an AI agent that can control a web browser Get ready! Catch Coachella 2025 live, only on YouTube Amazon Nova Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes AI accent conversion Kat Abughazaleh, from YouTube to Congress? Wurst cursor The fastest, most-accurate fast-food drive-throughs, and more! Hosts: Leo Laporte, Jeff Jarvis, and Richard Campbell Guest: Keach Hagey Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit bigid.com/im

Interview with Keach Hagey The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's Latest Funding Round Comes With a $20 Billion Catch Startup Founder Claims Elon Musk Is Stealing the Name 'Grok' Elon Musk Says He Has Sold X to His A.I. Start-Up xAI Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year AI: history of a brand by Thomas Haigh Bloomberg Has a Rocky Start With A.I. Summaries First Trial of Generative AI Therapy Shows It Might Help With Depression Tinder wants you to chat with an AI bot before you fail with a real person Twitter (X) Hit by 2.8 Billion Profile Data Leak in Alleged Insider Job The hottest AI models, what they do, and how to use them Amazon Said to Make a Bid to Buy TikTok in the U.S. (Oh, no) Andreessen Horowitz in talks to help buy out TikTok's Chinese owners Trump to hold a meeting on possible investors to buy TikTok with possible ban at stake Amazon unveils Nova Act, an AI agent that can control a web browser Get ready! Catch Coachella 2025 live, only on YouTube Amazon Nova Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes AI accent conversion Kat Abughazaleh, from YouTube to Congress? Wurst cursor The fastest, most-accurate fast-food drive-throughs, and more! Hosts: Leo Laporte, Jeff Jarvis, and Richard Campbell Guest: Keach Hagey Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit bigid.com/im

Alex breaks down his new business, Distro, the first AI content strategist.  — Show Notes: (0:00) A note from our sponsor (2:26) Welcome back to Founder's Journal (3:34) Be a student of AI (5:48) Post-It Note Pitch (7:08) Launch process (9:42) Create clarity before launch (12:18) Moats in AI (14:09) Go-forward plan (16:05) Conclusion — Thanks to our presenting sponsor, Gusto. Head to www.gusto.com/alex — Episode Links: • Distro: https://youdistro.com/ • AI cancer study: https://x.com/PeterDiamandis/status/1905266239720612160  • Replit: https://replit.com/  • Testing the idea: https://x.com/businessbarista/status/1847032386887770326  Check Out Alex's Stuff: • storyarb - https://www.storyarb.com/ • growthpair - https://www.growthpair.com/ • CTA - https://www.creatortalentagency.co/ • X - https://x.com/businessbarista • Linkedin - https://www.linkedin.com/in/alex-lieberman/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Leaked Signal group chat, xAI x X merger, Studio ChatGhibli-T Hayao Miyazaki's AI Nightmare Studio Ghibli has few legal options to stop OpenAI from ripping off its style No elephants: Breakthroughs in image generation Okay, I'm Starting to Think AI Can Do My Job After All Clearly we're talking about the WH Signal Leak Is it safe to travel with your phone right now? Musk shuffles $80 billion in assets, reshapes gov't — just another week at the office 23andMe has filed for bankruptcy and CEO Anne Wojcicki has stepped down Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year As AI Takes His Readers, A Leading History Publisher Wonders What's Next Madison Square Garden's surveillance system banned this fan over his T-shirt design China bans facial recognition without consent; where's US law on this? Google's new experimental AI model, Gemini 2.5 Pro, is now available to free users too Host: Leo Laporte Guests: Alex Kantrowitz, Iain Thomson, and Jacob Ward Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT Melissa.com/twit oracle.com/twit shopify.com/twit

Leaked Signal group chat, xAI x X merger, Studio ChatGhibli-T Hayao Miyazaki's AI Nightmare Studio Ghibli has few legal options to stop OpenAI from ripping off its style No elephants: Breakthroughs in image generation Okay, I'm Starting to Think AI Can Do My Job After All Clearly we're talking about the WH Signal Leak Is it safe to travel with your phone right now? Musk shuffles $80 billion in assets, reshapes gov't — just another week at the office 23andMe has filed for bankruptcy and CEO Anne Wojcicki has stepped down Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year As AI Takes His Readers, A Leading History Publisher Wonders What's Next Madison Square Garden's surveillance system banned this fan over his T-shirt design China bans facial recognition without consent; where's US law on this? Google's new experimental AI model, Gemini 2.5 Pro, is now available to free users too Host: Leo Laporte Guests: Alex Kantrowitz, Iain Thomson, and Jacob Ward Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT Melissa.com/twit oracle.com/twit shopify.com/twit

Leaked Signal group chat, xAI x X merger, Studio ChatGhibli-T Hayao Miyazaki's AI Nightmare Studio Ghibli has few legal options to stop OpenAI from ripping off its style No elephants: Breakthroughs in image generation Okay, I'm Starting to Think AI Can Do My Job After All Clearly we're talking about the WH Signal Leak Is it safe to travel with your phone right now? Musk shuffles $80 billion in assets, reshapes gov't — just another week at the office 23andMe has filed for bankruptcy and CEO Anne Wojcicki has stepped down Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year As AI Takes His Readers, A Leading History Publisher Wonders What's Next Madison Square Garden's surveillance system banned this fan over his T-shirt design China bans facial recognition without consent; where's US law on this? Google's new experimental AI model, Gemini 2.5 Pro, is now available to free users too Host: Leo Laporte Guests: Alex Kantrowitz, Iain Thomson, and Jacob Ward Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT Melissa.com/twit oracle.com/twit shopify.com/twit

Leaked Signal group chat, xAI x X merger, Studio ChatGhibli-T Hayao Miyazaki's AI Nightmare Studio Ghibli has few legal options to stop OpenAI from ripping off its style No elephants: Breakthroughs in image generation Okay, I'm Starting to Think AI Can Do My Job After All Clearly we're talking about the WH Signal Leak Is it safe to travel with your phone right now? Musk shuffles $80 billion in assets, reshapes gov't — just another week at the office 23andMe has filed for bankruptcy and CEO Anne Wojcicki has stepped down Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year As AI Takes His Readers, A Leading History Publisher Wonders What's Next Madison Square Garden's surveillance system banned this fan over his T-shirt design China bans facial recognition without consent; where's US law on this? Google's new experimental AI model, Gemini 2.5 Pro, is now available to free users too Host: Leo Laporte Guests: Alex Kantrowitz, Iain Thomson, and Jacob Ward Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT Melissa.com/twit oracle.com/twit shopify.com/twit

Terminal's launch week was also a bad week for CEOs, prepping for ReactMiami, Adam unintentionally pokes Replit, thoughts on the new AI image models, and Dax updates Adam on the world news he missed while travelling.Links:OpenAI ChatGPT Users Are Creating Studio Ghibli-Style AI ImagesOpenAI adopts rival Anthropic's standard for connecting AI models to data | TechCrunchClaude Code OverviewReact Miami EventsThePrimeTimeTerminal Initial CommitCommission-Free TradingFinance SmarterGameStop Short SqueezeI Love Gold!Game Boy Color OverviewAdam on ReplitSponsor: Terminal now offers a monthly box called Cron.Want to carry on the conversation? Join us in Discord. Or send us an email at sliceoffalittlepieceofbacon@tomorrow.fm.Topics:(00:00) - Adam loves goooooooooold (00:38) - Good... how are you? (01:39) - OpenAI and MCP (07:28) - Where can I use opencontrol? (16:10) - Are the vibes true? No cap? (21:29) - Poking Replit (29:30) - It was a bad week for CEOs (31:57) - Terminal's launch week (35:49) - Prepping for ReactMiami (41:05) - Thoughts on the new AI image model (47:17) - When things cross all the bubbles in Twitter (49:59) - Adam unplugged - what's happening in the world? ★ Support this podcast ★

Leaked Signal group chat, xAI x X merger, Studio ChatGhibli-T Hayao Miyazaki's AI Nightmare Studio Ghibli has few legal options to stop OpenAI from ripping off its style No elephants: Breakthroughs in image generation Okay, I'm Starting to Think AI Can Do My Job After All Clearly we're talking about the WH Signal Leak Is it safe to travel with your phone right now? Musk shuffles $80 billion in assets, reshapes gov't — just another week at the office 23andMe has filed for bankruptcy and CEO Anne Wojcicki has stepped down Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year As AI Takes His Readers, A Leading History Publisher Wonders What's Next Madison Square Garden's surveillance system banned this fan over his T-shirt design China bans facial recognition without consent; where's US law on this? Google's new experimental AI model, Gemini 2.5 Pro, is now available to free users too Host: Leo Laporte Guests: Alex Kantrowitz, Iain Thomson, and Jacob Ward Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT Melissa.com/twit oracle.com/twit shopify.com/twit

I sat down with Billy Howell to explore his journey into building and selling apps with AI as a self-taught solopreneur. Billy shared how he transitioned from defense consulting into the world of simple app creation. We talked about the power of AI-driven tools like Replit for rapidly creating simple solutions, and his first successful app. He talked about leveraging Upwork to find initial clients and build a freelance business. Billy also touched on his strategy for tackling "shiny object syndrome" and the potential for reselling custom-built apps. If you're curious about creating simple apps and potentially starting your own agency, Billy's experience is a must-hear. Find Billy on Twitter (Billy J Howell) and explore his work at https://stupid-simple-apps.com/.Timestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 From Zero to Full-Time: The Journey of a Self-Taught Coder02:59 Vibe Coding: Building Apps with Natural Language05:47 Choosing the Right AI Coding Tools09:06 Navigating Upwork: Finding Clients and Jobs11:58 Building Custom Solutions for Niche Markets14:56 The Last 10%: Overcoming Development Hurdles17:49 Shiny Object Syndrome: Managing Multiple Projects21:09 Scaling Your Freelance Business24:01 Distribution Strategies for SaaS Tools26:56 Personal Branding and Sharing Your Journey

Leaked Signal group chat, xAI x X merger, Studio ChatGhibli-T Hayao Miyazaki's AI Nightmare Studio Ghibli has few legal options to stop OpenAI from ripping off its style No elephants: Breakthroughs in image generation Okay, I'm Starting to Think AI Can Do My Job After All Clearly we're talking about the WH Signal Leak Is it safe to travel with your phone right now? Musk shuffles $80 billion in assets, reshapes gov't — just another week at the office 23andMe has filed for bankruptcy and CEO Anne Wojcicki has stepped down Replit CEO Amjad Masad says learning to code is a waste of time, citing Dario Amodei's prediction that AI may generate essentially all code by next year As AI Takes His Readers, A Leading History Publisher Wonders What's Next Madison Square Garden's surveillance system banned this fan over his T-shirt design China bans facial recognition without consent; where's US law on this? Google's new experimental AI model, Gemini 2.5 Pro, is now available to free users too Host: Leo Laporte Guests: Alex Kantrowitz, Iain Thomson, and Jacob Ward Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: NetSuite.com/TWIT Melissa.com/twit oracle.com/twit shopify.com/twit

Send us a textVibe coding represents a revolutionary AI-driven approach to software development that allows anyone to create functional applications using natural language instead of traditional programming.• Coined by Andrej Karpathy (former Tesla AI director and OpenAI co-founder) in February 2025• Dramatically lowers the barrier to entry for software development• Enables rapid prototyping and iteration through conversational feedback loops• Particularly useful for creating "software for one" - personal tools to solve specific problems• Major tools include Cursor, Replit, and even general AI assistants like ChatGPT and Claude• SEO professionals can use vibe coding to build custom data processing and analysis tools• Currently has limitations with complex systems and quality control• Best used for prototyping or solving personal workflow challenges• The technology is evolving rapidly, with capabilities expanding monthlyTry our SEO intelligence platform at keywordspeopleuse.com where we help you discover questions people ask online, organize them into topical groups, and optimize your content with personalized advice to grow your traffic.SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You can get your free copy of my 101 Quick SEO Tips at: https://seotips.edddawson.com/101-quick-seo-tipsTo get a personal no-obligation demo of how KeywordsPeopleUse could help you boost your SEO and get a 7 day FREE trial of our Standard Plan book a demo with me nowSee Edd's personal site at edddawson.comAsk me a question and get on the show Click here to record a questionFind Edd on Linkedin, Bluesky & TwitterFind KeywordsPeopleUse on Twitter @kwds_ppl_use"Werq" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/

In this episode, Michele Catasta, President of Replit, explores how AI-driven agents are transforming software development by making coding more accessible and automating application creation.Highlights include:- The difference between AI agents and copilots in software development.- How AI is democratizing coding, enabling non-programmers to build applications.- Challenges in AI agent development, including error handling and software quality.- The growing role of AI in entrepreneurship and business automation.- Why 2025 could be the year of AI agents and what's next for the industry.

In this conversation, Simon Grimm and Matt Palmer discuss the capabilities and evolution of Replit, a platform that allows developers to quickly turn ideas into applications using AI tools. They explore the features of Replit, including its ability to create full stack applications, the integration of AI, and the unique advantages it offers compared to other development tools. The discussion also touches on the possibilities and limitations of using Replit for various types of projects. In this conversation, Simon and Matt discuss the challenges of managing Python environments and the advantages of using Replit for development. They explore how developers can integrate various tools into their workflows, the benefits of building with AI for rapid prototyping, and the importance of effective prompt engineering. The discussion also touches on the future collaboration between Replit and Expo, highlighting the evolving landscape of software development.Learn React Native - https://galaxies.devMatt PalmerMatt leads developer relations and product marketing at Replit, creating everything from tutorials to technical content. He got his start in data, working as a product analyst at AllTrails before moving to data engineering and eventually DevRel. He's worked on content with companies like LinkedIn, O'Reilly Media, xAI and Y Combinator. Outside of work, you can find him lifting weights or exploring the outdoors. Matt currently lives in San Francisco, but hails from Asheville, North Carolina.https://x.com/mattppalhttps://youtube.com/@mattpalmerhttps://www.linkedin.com/in/matt-palmer/https://mattpalmer.io/LinksReplit: https://replit.com/Replit X: https://x.com/replitReplit YouTube: https://www.youtube.com/@replitReplit Expo / React Native template: https://replit.com/@replit/ExpoReplit Sign-up:  https://replit.comExpo tutorial: https://www.youtube.com/playlist?list=PLto9KpJAqHMRuHwQ9OUjkVgZ69efpvslMExpo Blog: https://expo.dev/blog/from-idea-to-app-with-replit-and-expoTakeawaysReplit allows developers to create applications quickly and efficiently.AI integration in Replit enhances the development process.The platform supports multiple programming languages, primarily JavaScript and Python.Replit's workspace is designed for ease of use, requiring no installations.Users can deploy applications with a single click.Replit is evolving rapidly with advancements in AI technology.The platform is suitable for both beginners and experienced developers.Replit's unique features set it apart from other development tools.The community around Replit is growing, with increasing interest and usage.Building complex applications still requires significant effort and planning.  Python environments can be cumbersome for developers.Replit excels in managing single directory projects.AI can significantly speed up the prototyping process.Disposable software allows for quick iterations and testing.Effective prompt engineering can enhance AI outputs.Developers should focus on minimum viable prompts for efficiency.Replit's integration with Expo is a promising development.AI tools can help in learning and understanding code better.Collaboration between tools can streamline the development process.Keeping up with new tools and technologies is essential for developers.

Amjad Masad is the co-founder and CEO of Replit, a programming environment for everyone that allows anyone to write and deploy code, regardless of experience. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world.Before Replit, Amjad was a tech lead on the JavaScript infrastructure team (which he helped start) at Facebook, where he contributed to popular open-source developer tools. Additionally, he played a key role as a founding engineer at the online coding school Codecademy.0:00 - Intro4:31 - Utopia, Dystopia, and Life in a Post-AI World11:28 - Replit and Expressiveness in Computing17:01 - Balancing Accessibility and Control in Products19:53 - Is AI a Sustaining or Disruptive Technology?25:04 - Building With AI and the Future of Company Structure29:32 - The Shape and Defensibility of Software in a World of AI33:37 - The Nation State and Stagnation in the Physical World38:28 - Technology and Resilience41:54 - What Shouldn't Get Automated?43:54 - What Becomes Valuable in a Post-AI World?47:10 - AI Augmenting vs Competing with Humans51:51 - What Should More People Be Thinking About?

Today's show: Alex interviews two incredible founders from the TWIST 500! First, Replit CEO Amjad Masad breaks down how AI-powered coding is changing software development and what the future of agents looks like. Then, Starfish Space co-founder Austin Link explains how they're building a satellite towing service to extend missions and clean up orbit. Two deep dives into the future of tech and space.Timestamps: (0:00) Alex kicks off the episode!(0:53) Discussing Replit's capabilities and introduction of CEO Amjad Masad(4:17) Replit's evolution and turning down a billion-dollar acquisition offer(9:48) Vapi - Go to https://vapi.ai/twist and get 1000 minutes free per month - for life.(11:42) Impact of LLMs and AI agents(17:13) Choosing Anthropic's Claude for Replit(19:46) LinkedIn Jobs - Post your first job for free at https://www.linkedin.com/twist (21:29) Anthropic success and closed source AI implications(24:37) Replit market response and economics of AI models(28:14) Future of Replit's AI tools and plans(33:41) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit http://northwestregisteredagent.com/twist today!(35:12) Introduction to Starfish Space and its mission(38:50) Core missions and challenges of the Otter satellite(47:29) First official mission with Otter and key partnerships(50:57) Economics and ownership of satellite services(53:11) Key components of the Otter project(57:19) Startups in the space economy and comparison with Orbit Fab(59:08) Starfish Space hiring push and final thoughtsSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpLinks from the show:Check out Starfish Space: https://www.starfishspace.com/Check out Replit: https://replit.com/Follow Amjad:X: https://x.com/amasadLinkedIn: https://www.linkedin.com/in/amjadmasad/Follow Austin Link:X: https://x.com/AustinLinkLinkedIn: https://www.linkedin.com/in/austin-link-space/Follow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmThank you to our partners:(9:48) Vapi - Go to https://vapi.ai/twist and get 1000 minutes free per month - for life.(19:46) LinkedIn Jobs - Post your first job for free at https://www.linkedin.com/twist (33:41) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit http://northwestregisteredagent.com/twist today!All rights for the video shared and linked below belong to the original copyright holder, and we are using the footage under the principle of fair use.*Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland*Check out Jason's suite of newsletters: https://substack.com/@calacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com*Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Anton Osika is the co-founder and CEO of Lovable, which is building what they call “the last piece of software”—an AI-powered tool that turns descriptions into working products without requiring any coding knowledge. Since launching three months ago, Lovable hit $4 million ARR in the first four weeks and $10 million ARR in two months with a team of just 15 people, making it Europe's fastest-growing startup ever.—What you'll learn:1. Why you need to be in the top 1% of AI tool users2. Watch Lovable build a functional Airbnb clone in 30 seconds—complete with working features and modern design3. The unconventional hiring approach that helped build a 15-person team capable of extraordinary execution4. How traditional product development will look with AI5. What skills will matter most to product teams going forward6. How Anton's team discovered a breakthrough in AI “unsticking itself”—Brought to you by:• Sinch—Build messaging, email, and calling into your product• Persona—A global leader in digital identity verification• Fundrise Flagship Fund—Invest in $1.1 billion of real estate—Find the transcript at: https://www.lennysnewsletter.com/p/building-lovable-anton-osika—Where to find Anton Osika:• X: https://x.com/antonosika• LinkedIn: https://www.linkedin.com/in/antonosika/—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 Anton and Lovable(05:12) Lovable's rapid growth(09:39) Live demo: Building an Airbnb clone(18:34) Tips for mastering Lovable(21:42) The origin story(26:50) Scaling laws and getting AI unstuck(33:20) Reliability and unique features(36:25) The vision and future of Lovable(38:14) Skills and job market evolution in the age of AI(40:30) Hiring philosophy and team dynamics(46:21) Building in Europe(48:02) Prioritization and product roadmap(51:38) Tools and work environment(53:17) Tactics for moving fast(54:37) Advice for building product teams(57:11) Empowering non-technical founders(58:31) Future developments and user support(01:01:23) Failure corner(01:05:20) Final thoughts and advice—Referenced:• Lovable: https://lovable.dev/• Lovable Launched: https://launched.lovable.app/• Cloudflare: https://www.cloudflare.com/• Supabase: https://supabase.com/• GPT engineer: https://github.com/gpt-engineer-org/gptengineer.app• Microsoft Copilot: https://copilot.microsoft.com/chats/cmFw8dTsGU8D6b9siqQ6U• Fabian Hedin on LinkedIn: https://www.linkedin.com/in/fabian-hedin-2377b0144/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Replit: https://replit.com/• Cursor: https://www.cursor.com• Bolt: https://bolt.new/• GitHub: https://github.com/• Lane Shackleton on LinkedIn: https://www.linkedin.com/in/laneshackleton/• FigJam: https://www.figma.com/figjam/• Linear: https://linear.app/• Sana Labs: https://sanalabs.com/• Duolingo: https://www.duolingo.com/• Claude: https://claude.ai/• ChatGPT: https://chatgpt.com/• Lovable on X: https://x.com/Lovable_dev—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. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

In this episode of the WP Builds podcast, Nathan Wrigley and guest Matt Medeiros discuss the role and impact of AI in web development, particularly within WordPress. They explore Matt's journey in developing an app called Pulse WP using various AI tools, such as chat GPT, Claude, Bolt, and Replit. The conversation touches on AI's potential benefits, challenges, and its implications for future web development. They also consider how AI may democratise technology but express concerns about its rapid growth and the need for understanding and adaptation within the WordPress community. Go listen...

In this episode: Jason sits down with Harrison Chase, CEO of LangChain, to explore how AI-powered agents are transforming the way startups operate. They discuss the shift from traditional entry-level roles to AI-driven automation, the importance of human-in-the-loop systems, and the future of AI-powered assistants in business. Harrison shares insights on how companies like Replit, Klarna, and GitLab are leveraging AI agents to streamline operations, plus a look ahead at what's next for AI-driven workflows. Brought to you in partnership with Google Cloud.*Timestamps:(0:00) Introduction to Startup Basics series & Importance of AI in startups(2:04) Partnership with Google Cloud & Introducing Harrison Chase from Langchain(4:38) Evolution of entry-level jobs & Examples of AI agents in startups(8:00) Challenges & Future of AI agents in startups(14:24) AI agents in collaborative spaces & Non-developers creating AI agents(18:40) Closing remarks and where to learn more*Uncover more valuable insights from AI leaders in Google Cloud's 'Future of AI: Perspectives for Startups' report. Discover what 23 AI industry leaders think about the future of AI—and how it impacts your business. Read their perspectives here: https://goo.gle/futureofai*Check out all of the Startup Basics episodes here: https://thisweekinstartups.com/basicsCheck out Google Cloud: https://cloud.google.com/Check out LangChain: https://www.langchain.com/*Follow Harrison:LinkedIn: https://www.linkedin.com/in/harrison-chase-961287118/X: https://x.com/hwchase17*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

In this episode, Michael and Abadesi dive into why Gen Z want to be in the office, tools like Replit that make app-building a breeze for entrepreneurs. They also look into the rise of on-demands security services aka “Uber for Guns,” and what it means about the state of the world. Finally, they tackle the ethics of investing—should you back a company that doesn't align with your values?Chapters 00:00 Gen Z and Remote Work 04:32 Why Replit Is a Game-Changing App Builder 08:29 New Protector App Wants to Be ‘Uber for Guns' 14:52 The Investor's Dilemma: Morality vs. Profit 21:55 The Trappings of Wealth Extra reading & resources Gen Z workers feel isolated by tech and crave more in-person interaction, survey says [CNBC]Only 1 in 10 Gen Zers want to work in the office full-time [The Times]On-Demand Armed Guard App Launches After UnitedHealthcare CEO Killing [The Hollywood Reporter] ————————————————————Disclaimer: The information provided in this podcast episode represents the personal opinions and experiences of the presenters and is for informational and entertainment purposes only. It should not be considered professional advice. Neither host nor guests can be held responsible for any direct or incidental loss incurred by applying any of the information. Always do your own research or seek independent advice before making any decisions. ———————————————————— Watch us on YouTube: https://www.youtube.com/@techishpod/Support Techish at https://www.patreon.com/techishAdvertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2————————————————————Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com...

Have you ever wondered how AI can revolutionize podcasting? I'm diving into my latest AI explorations, sharing how I built an automated podcast app using no-code tools like Replit and ChatGPT. Plus, I break down why selling before building is crucial to ensuring product demand. Solo podcasts have been a game-changer for me, and I'm here to show you why they should be part of your strategy too. Find out here.

Ejaaz and David are back this week with a new frontier model to dissect. With the release of Grok 3, xAI is now a real competitor to companies like Anthropic and OpenAI. Joining this news cycle is Kaito, set to launch it's airdrop and it turns out Ejaaz is... a top yapper?  Meanwhile, David tried to get a date with an AI agent and a Kardashian is quote tweeting Virtuals, it's been a weird week.  ------

Ejaaz and David reunite to dissect the AI Crypto sector's rebound from a 70% crash, fueled by Elon's rumored $97B OpenAI bid and the relentless rise of open-source devs being heads down. They explore how tokens might be the most accessible path to AI exposure, why ARC's curated launchpad could elevate agent quality, and what Virtuals' move onto Solana means for cross-chain expansion. Meanwhile, X (Twitter) embraces a new wave of AI agents, and AI16z reorganizes to stay competitive. Is this the turning point for AI and crypto—or just another plateau? Tune in to find out, anon. ------

Get our Business Monetization Playbook: https://clickhubspot.com/monetization Episode 670: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Andrew Wilkinson ( https://x.com/awilkinson ) about the AI tools that are replacing new hires.  — Show Notes:  (0:00) AI to kill admin work (7:37) the K-shaped future (16:29) 24/7 agents in your business (25:46) Software is the new commodity (38:40) Andrew's AI hedge investments (50:56) Buy, sell, or hold — Links: Lindy - https://www.lindy.ai/  Howie - https://howie.ai/  Fyxer - https://www.fyxer.com/  Fathom - https://fathom.video/  Otter - https://otter.ai/  Claude - https://claude.ai/  Zero - https://zerotax.ai/  Replit - https://replit.com/  Constellation - https://www.csisoftware.com/  — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano