Podcasts about replit

Jaeden & Conor discuss the rapid growth of AI coding applications like Lovable and Replit, highlighting their impressive revenue and valuation milestones. They also explore some personal experiences building functional apps and websites using these AI tools without prior coding experience.Our New AI in Faith podcast: https://podcasts.apple.com/us/podcast/ai-in-faith/id1807189802Get the top 70+ AI Models for $9 at AI Box: ⁠⁠https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustleWatch on YouTube: https://youtu.be/CnU4L19gBlsChapters00:00 The Growth of AI-Powered Applications05:53 Personal Experiences with AI Tools09:01 Building Custom Solutions with AI11:39 Conclusion and Call to Action See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hanover Park's Chris Hladczuk talks with TITV Host Akash Pasricha about the end of B2B SaaS and how AI is modernizing venture capital operations. We also talk with The Information's Stephanie Palazzolo and Aaron Tilley about Apple's crackdown on vibe coding apps like Replit, and Gecko Robotics CEO Jake Loosararian about his company's $71 million deal with the US Navy. Lastly, we get into Coinbase's ambition to build the payment layer for AI agents with our crypto reporter Yueqi Yang.Articles discussed on this episode: https://www.theinformation.com/articles/coinbase-dives-ai-agent-paymentshttps://www.theinformation.com/articles/apple-cracks-vibe-coding-appsSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

What happens when AI agents — not humans — become your primary customer? That's not a hypothetical. It's already happening, and the founders who recognize it earliest are rebuilding their entire infrastructure stacks from scratch. In this live episode of Founded & Funded from our IA Summit in Seattle, Madrona Venture Partner Jon Turow sits down with Parag Agrawal, former CEO of Twitter and founder of Parallel Web Systems, and Nikita Shamgunov, who led Neon through a rapid AI pivot before its acquisition by Databricks. What they cover: Why Parag is building a new search index from the ground up — and why existing ones weren't designed for AI agents The moment Nikita realized Replit agents were spinning up databases 4x faster than all human developers combined — and what that forced him to do How to pivot an established company in weeks, not months, when your customer base suddenly changes The "pagers vs. iPhones" framework for knowing when to lean into disruption vs. protect what you have Parag's two-person hiring rubric for teams operating in deep uncertainty Why Nikita added the head of product for ChatGPT to Neon's board — and what that signaled to the market The "two-way door" model for giving agents real autonomy without catastrophic downside Whether you're building infrastructure, running an AI-native startup, or trying to figure out where your product fits in an agent-first world — this conversation will sharpen your thinking. Full Transcript: https://www.madrona.com/twitter-ex-ceo-web-built-for-humans-make-it-work-for-ai-agents-nikita-Shamgunov-parag-agrawal Chapters (00:00) – Introduction (01:52) – Parag Agrawal: Why Parallel Was Built for AI Agents From Day One (03:22) – Why Existing Search Indexes Don't Work for AI Agents (05:08) – Nikita Shamgunov: How Replit Agents Outpaced the Entire World on Neon (08:27) – The Pager-to-iPhone Decision: Lean Into Disruption or Get Left Behind (11:13) – How Neon Built an AI Team in Two Weeks and Launched MCP Before Anyone Else (13:41) – Firing Bullets: Why a 4-Out-of-9 Batting Average Was Good Enough (15:37) – Parag on the Two Types of People You Need to Take Concentrated Risk (21:08) – Building Trust in Agents: Evals, Confidence Scores, and Read-Only Infrastructure (23:32) – Nikita's Two-Way Door Framework for Agent Autonomy (25:35) – Parallel Execution: Fork Environments and Let Agents Compete

AI just learned how to make itself smarter. That's not a hypothetical anymore. Recursive self-learning is here, and it's changing everything about how AI develops.   This week on AI For Humans, we break down Andrej Karpathy's new AutoResearch project and what recursive self-improvement actually means for the rest of us. Plus, Anthropic's massive Time magazine profile reveals just how fast Claude is writing its own code, Meta quietly acquired an AI agent social network called MoltBook, Replit drops V4, Perplexity launches computer use, Gemini finally shows up in Google Docs and Maps, Cloudflare does a full 180 on web scraping, Figure's robot cleans an entire living room, and there's a robot horse.    We're sure that's fine.   AI IS IMPROVING ITSELF AND WE'RE JUST SITTING HERE WATCHING.   #ai #artificialintelligence #aiforhumans  Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // Show Links // Karpathy's AutoResearch: Recursive Self-Learning https://x.com/karpathy/status/2031135152349524125?s=20 AutoResearch GitHub Repository https://github.com/karpathy/autoresearch Sam Altman on Multi-Day and Multi-Week AI Agent Work https://youtu.be/sTnl8O_BuuE?si=xaWYyqYbVJYzOvYZ HBR: When Using AI Leads to Brain Fry https://hbr.org/2026/03/when-using-ai-leads-to-brain-fry Anthropic's Big Time Magazine Profile: Claude, the Pentagon, and Disruption https://time.com/article/2026/03/11/anthropic-claude-disruptive-company-pentagon/ Claude's Rapid Shipping Pace https://x.com/claudeai/status/2032124273587077133?s=20 Paperclip Open Sourced: AI-Powered Company Management https://x.com/dotta/status/2029239759428780116?s=20 Meta Acquires MoltBook AI Agent Social Network https://www.axios.com/2026/03/10/meta-facebook-moltbook-agent-social-network Replit V4 Launch https://x.com/amasad/status/2031755113694679094?s=20 Perplexity Computer Use https://x.com/perplexity_ai/status/2031790180521427166?s=20 Claude Code Makes Videos Now https://x.com/josephdviviano/status/2031196768424132881?s=20 Gavin's Claude Code Video Experiment https://x.com/gavinpurcell/status/2031487595717226955?s=20 Gavin's Claude Code Bio Video https://x.com/gavinpurcell/status/2031620238689898770?s=20 Gemini Comes to Google Docs and More https://x.com/OfficialLoganK/status/2031374503599567113?s=20 Gemini in Google Maps: Ask Maps with Immersive Navigation https://blog.google/products-and-platforms/products/maps/ask-maps-immersive-navigation/ Gemini Embeddings https://x.com/OfficialLoganK/status/2031411916489298156?s=20 Runway Characters https://x.com/runwayml/status/2031028120971571687?s=20 Cloudflare Launches /Crawl So All Sites Can Be Scraped https://x.com/CloudflareDev/status/2031488099725754821?s=20 Figure Robot Does Full Autonomous Living Room Cleanup https://x.com/Figure_robot/status/2031038981333565949?s=20 Deep Robotics Robot Horse https://x.com/DeepRobotics_CN/status/2031910951465992535?s=20 Real-Time Skeletal Visualization with Three.js https://x.com/nick_bisesi/status/2031728629592289591?s=20 Taking Halo ISO and Getting It to Play on Mac https://x.com/JasonBotterill/status/2031855986303254926?s=20 AI Tennis Prediction https://x.com/phosphenq/status/2031400355167117498 Green Code YouTube Channel: AI Explainers https://www.youtube.com/@Green-Code LotR x Pawn Stars AI Video Mashup https://www.reddit.com/r/aivideo/comments/1rqgolw/wrong_universe_lotr_vs_pawn_stars_ai_mashup/  

HEADLINES:• UAE Economic Momentum Challenges Goldman Sachs' 5% Contraction Warning • DHL Pushes $577M Middle East Investment Despite Iran Attacks• Jordanian-American Amjad Masad's Replit Raises $400M at $9B valuation • UAE Hiring Slows Slightly but Job Market Remains Resilient: Recruitment Startup Founder Newsletter: https://aug.us/4jqModrWhatsApp: https://aug.us/40FdYLUInstagram: https://aug.us/4ihltzQTiktok: https://aug.us/4lnV0D8Smashi Business Show (Mon-Friday): https://aug.us/3BTU2MY

New products from Perplexity and Replit show vibe coding evolving beyond “AI helps you code” into systems that plan goals, spin up teams of agents, and execute entire workflows across apps and files. The emerging pattern combines persistent agents, collaborative canvases, and multi-agent orchestration—turning vibe coding into a broader interface for building and operating digital work. In the headlines: agents get credit cards, Anthropic surges in Ramp adoption data, OpenAI folds Sora into ChatGPT, Musk outlines an xAI–Tesla computer-use system, Netflix may buy Ben Affleck's AI startup, and Lovable adds $100M in ARR.Learn more about AGENT MADNESS: Our 64-Bracket tournament to find the coolest Agent of 2026 ⁠https://www.agentmadness.ai/⁠Brought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG's new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/Navigate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mercury - Modern banking for business and now personal accounts. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://mercury.com/personal-banking⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AIUC-1 - Get your agents certified to communicate trust to enterprise buyers - ⁠⁠https://www.aiuc-1.com/⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The 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/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Vibe Coding is about to change the world… and I recommend you be at the forefront of that!Try Replit for Free:  https://replit.com/refer/derekvidell-----Hosted by Derek VidellLearn How to Run Profitable Facebook Ads Yourself: socialbamboo.com/30 (free call) social bamboo.com/5roas (free course) socialbamboo.com/dwy (paid program) I have DWY and DFY Meta Ads services available. Book a free call to start. Build a Perfectly Trained AI Chatbot: https://pro-bots.ai/trial (free course + 14 day software trial)Instagram | YouTube | SocialBamboo.com

In this episode of Run the Numbers, CJ sits down with Mike Wilcox, CFO of Blockchain.com, to unpack the economics of crypto exchanges. They discuss how platforms serve both retail traders and institutional clients, the different ways exchanges generate revenue, and the tension between blockchain's radical transparency and the valuable first-party data exchanges control.—SPONSORS:Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.ai—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNMike: https://www.linkedin.com/in/mike-wilcox-65078a12/https://www.blockchain.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:Here's the trimmed version:0:00 Preview and intro2:12 Tradfi to crypto transition3:49 Blockchain.com origin5:45 CFO as business partner6:01 Finance team backgrounds7:02 Banking relationships8:51 On ramps and off ramps8:51 Retail vs. institutional10:53 Sponsors — Brex | Metronome | RightRev14:09 B2C to B2B motion16:04 Shared infrastructure18:31 Go-to-market differences19:00 Brand equity and low CAC20:06 Education as top-of-funnel21:13 Institutional vs. retail volatility22:37 Exchange vs. brokerage model23:56 How brokerages make money24:06 Sponsors — Rillet | Tabs | Abacum27:31 Setting take rates29:13 Distribution flywheel30:13 Data as a moat31:13 Nigeria market playbook31:44 Crypto balance sheet33:25 Duration matching34:37 Transaction-level risk36:12 Latency arms race37:28 Stablecoins and CFOs38:13 Risk vectors40:01 Annual planning41:51 Lightning round43:00 Finance software stack43:31 Advice to younger self44:09 Credits

Scott Stevenson is the Co-founder and CEO of Spellbook.Spellbook is an AI copilot for contract review and drafting, essentially “Cursor for lawyers.” They have 4,000 customers in 80 countries, and to my knowledge is the fastest growing AI company in Canada, and the largest company in the world built on a Microsoft Word plugin.Scott has been building in legal AI longer than almost anyone. We talk about why legal software was essentially untouched before LLM's, why the market is so hot right now, if it's sustainable, and how Spellbook navigates product differentiation compared to horizontal AI products like ChatGPT.We talk about why fine-tuning your own models was one of the biggest mistakes early AI companies made, how to build a network effect as a vertical AI product, and Spellbook's philosophy of “Don't sharpen your axe when the chainsaw is coming out tomorrow”.Spellbook spent a few years finding PMF before really taking off in 2022, and Scott shares their playbook for launching over 100 product experiments in three years, how to know when to lean in, and what it's been like scaling Spellbook post-PMF.Thank you to Numeral and Flex for supporting this episode.Try Numeral, the end-to-end platform for sales tax and compliance: https://www.numeral.comSign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(0:30) Spellbook: “Cursor for Contracts”(3:08) Building the world's largest Microsoft Word plugin(14:06) Why legal software was untouched before LLMs(18:32) $30 trillion moves through contracts annually(20:51) Why ChatGPT won't replace vertical tools(25:15) Fine-tuning was the biggest mistake in AI(30:00) Differences between pro and amateur gamers(37:38) Top-down vs. bottoms-up in legal AI(42:27) The long-tail of legal AI software(47:24) Building for models that don't exist yet(51:20) Skating where the puck is going(1:01:35) The legal bill that cost 50% of his bank account(1:09:33) Testing 100 landing pages in 3 years(1:14:06) The moment Spellbook hit PMF(1:19:17) Building new brands for each product experiment(1:23:10) Raising a Series B with a tweet(1:27:41) What Scott learned from Keith Rabois(1:31:16) Scott's favorite new AI toolReferencedSpellbook: https://www.spellbook.legal/Careers at Spellbook: https://www.spellbook.legal/careersPlaying to Win by David Sirlin: https://www.amazon.com/Playing-Win-becoming-David-Sirlin/dp/1413498817Find the Fast Moving Water by NFX: https://www.nfx.com/post/find-the-fast-moving-waterSpellbook's case study with Replit: https://replit.com/customers/spellbookTwin: https://twin.so/Follow ScottTwitter: https://x.com/scottastevensonLinkedIn: https://www.linkedin.com/in/scottasBlog: https://blog.scottstevenson.net/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Nvidia anuncia $26.000M para modelos open-weight y lanza Nemotron 3 Super. Cursor negocia una valoración de $60.000M por su editor con IA. Replit levanta $400M y apunta a $1.000M en ARR. Robotaxis de Uber, Nissan y Wayve llegan a Tokio. Y Atlassian despide 1.600 empleados para "invertir en IA"

Vibe Coding is about to change the world… and I recommend you be at the forefront of that!Try Replit for Free:  https://replit.com/refer/derekvidell-----Hosted by Derek VidellLearn How to Run Profitable Facebook Ads Yourself: socialbamboo.com/30 (free call) social bamboo.com/5roas (free course) socialbamboo.com/dwy (paid program) I have DWY and DFY Meta Ads services available. Book a free call to start. Build a Perfectly Trained AI Chatbot: https://pro-bots.ai/trial (free course + 14 day software trial)Instagram | YouTube | SocialBamboo.com

CJ sits down with Marshall Hawks, a 20-year veteran of venture lending and author of Venture Debt Deals. They cover the real rules of thumb behind deal sizing, why lenders underwrite likelihood of raising again (not breakout outcomes), how banks and private credit differ, the three real sources of repayment, and how to actually run a venture debt process without blowing your legal budget.---SPONSORS:Tabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjLINKS:Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNMarshall: https://www.linkedin.com/in/marshallhawks/Marshall's website: https://www.marshallhawks.comCJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.comTIMESTAMPS:0:00 Preview and intro3:23 Marshall's background and the book4:47 Venture Deals as inspiration6:30 Companies Marshall has worked with6:49 The venture debt sweet spot8:01 Why venture debt follows equity raises10:55 The 25–40% rule of thumb12:08 AI companies and the limits of the rule13:58 Sponsors — Abacum | Brex | Metronome17:15 How lenders think vs. investors19:12 The three sources of repayment21:37 Venture debt and the AI boom23:52 Banks vs. private credit26:28 Sponsors — RightRev | Rillet | Tabs29:57 Private credit pricing and warrants33:04 Syndicated deals35:04 Legal timelines38:13 Who pays the legal bill?40:06 Why your GC shouldn't quarterback the deal41:30 What forecast to give your lender43:37 Reporting cadence45:57 Bad news should travel fast47:49 The Twitch case study50:19 Are we over our skis in 2026?54:50 Where to get Venture Debt Deals55:09 Credits

Is your traditional SaaS experience becoming obsolete? In this new 20-minute rapid-fire format, Sam Jacobs, AJ Bruno, and Asad Zaman tackle a specific listener question: How does a senior operator transition from a legacy B2B SaaS role into a high-growth AI company? The market is shifting toward a meritocracy where recent hands-on capability outweighs decades of tenure on a CV. The hosts break down exactly how to position yourself for companies like CoreWeave and EliseAI. They discuss why hiding your lack of technical engineering skills is a mistake, how to build a portfolio of "work product" using low-code tools like Replit and Claude, and why being able to articulate the failures of AI models is actually the strongest signal of fluency. Key Takeaways: - Stop relying on a static resume and start building a portfolio of practical applications. As Sam Jacobs notes, the hiring landscape has shifted so that "your work product needs to speak for itself... demonstrating that you're capable of working with these tools, not theoretically, but practically through your conversations that you're having with hiring managers." - We are entering a career reset where agility beats seniority. Asad Zaman warns that "whenever there is a platform shift... the value of experience goes down a little bit," which creates a massive opportunity for younger leaders to "move up faster if you present in a very compelling manner because people are not looking at titles the same way." - Cultural currency matters as much as technical skill. To be taken seriously by founders in this space, you must consume information where they do. As Asad Zaman puts it, "If they find out that you're not on AI Twitter or AI X, I think they will think you're not a serious person... the information is not gonna be found in these old school channels." Connect with the Hosts: Host: Sam Jacobs - https://www.linkedin.com/in/samfjacobs/ Host: AJ Bruno - https://www.linkedin.com/in/ajbruno3/ Host: Asad Zaman - https://www.linkedin.com/in/azaman1/   Topline is not JUST a YouTube Channel! Subscribe to Topline Newsletter: https://www.joinpavilion.com/topline-newsletter Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack   Chapters: 00:00 Intro 01:58 Viewer Q: Transitioning to AI 02:48 Show Work Product, Not Just CVs 04:36 Applying SaaS Principles to AI 05:58 The AI-First Mentality 08:58 Articulating AI Limitations 11:30 The Meritocracy Shift 13:55 Unexpected AI Wins 21:27 Staying Culturally Relevant 24:29 Summary: How to Get Hired  

In this episode of Run the Numbers, CJ sits down with Superhuman's Head of Analytics Chris Byington. They break down where analytics should sit inside a company, why dashboards often fail, and how the best teams connect metrics, OKRs, and forecasting to real decisions. Chris also explains why “ship goals” can mislead teams and what CEOs and CFOs should expect from a truly decision-driving data function.—SPONSORS:Tabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cj—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNChris: https://www.linkedin.com/in/chris-byington/Superhuman: https://superhuman.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Matt Hudson Episodehttps://youtu.be/_FWGYkzhymQ—TIMESTAMPS:0:00 Preview and intro3:29 Centralized analytics team7:29 Start analytics with problems not tools9:41 Lead with the problem10:14 Align on growth model11:46 Pre-commit to decisions13:14 Sponsors — Tabs | Abacum | Brex16:35 Dashboards need growth context19:10 Where analytics should sit21:18 Pros and cons of analytics in finance23:18 Operations vs revenue org placement24:11 Hub-and-spoke analytics model25:18 What “embedded” actually means26:14 Sponsors — Metronome | RightRev | Rillet29:38 When self-service analytics works32:04 Self-serve pitfalls33:44 Buy vs build BI35:44 Analytics owns metrics38:26 Hero metric example41:41 Outcomes > shipping42:14 Set goals before build43:57 Metrics are outcome proxies46:40 Easy way to say no48:29 Start answers with yes52:17 Proving analytics impact56:19 Credits#RunTheNumbersPodcast

Get the Claude Code guide (12 prompts + 4 workflows): https://clickhubspot.com/rqm Ep. 405 Did you know it's possible to build and launch a fully interactive inbound marketing campaign—including research, copy, and lead magnets—without writing any code or ever touching a conventional workflow tool? Kipp, Kieran, and guest James Dickerson (co-founder of Boring Marketing) dive into the world of Claude Code, demystifying how Learn more as they break down the real power of Claude Code—including what makes it radically different from using Claude in the browser, how to use skills to multiply what you can accomplish, and tactical advice for automating website and campaign launches from scratch. Mentions James Dickerson https://www.linkedin.com/in/jadickerson/ Boring Marketing https://boringmarketing.com/ Claude Code https://code.claude.com/docs/en/overview Replit https://replit.com/ Cursor https://cursor.com/ Firecrawl https://www.firecrawl.dev/ Playwright https://playwright.dev/ Perplexity https://www.perplexity.ai/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Tod Sacerdoti is the CEO and co-founder of Pipedream, which recently sold to Workday. Tod is also a general partner at Flex Capital, where he's invested in over 400 companies including Chime, Vercel, Replit, CodeRabbit, Mercury, and many others. He previously founded BrightRoll, a programmatic video advertising platform that sold to Yahoo for $640 million in 2014. In this episode of Summation, Tod and Auren discuss:Why seed investing has the highest annualized returns of any venture asset classFirst-gen AI companies being the most vulnerable to AI disruptionQSBS and why it's the most important tax benefit nobody talks aboutThe founder code and what happens when people break itYou can find Auren Hoffman on X at @auren and Tod Sacerdoti on X at @tod

Want the prompt I used for this test? And my AI Prompt Library with 30+ outbound prompts?⁠Upgrade now in my newsletter here.-I tested seven AI models on the same account research prompt, 12 specific instructions, one target company (Replit), one buyer lens (TrackRec). This is my March 2026 benchmark.The models: Perplexity Sonar, GPT 5.2 Thinking, Grok 4.2 Beta, Grok 4, Claude Opus 4.6, Claygent (Argon), and Gemini 3 Pro. I scored every model on six weighted criteria, tracked which instructions each model actually completed, classified why they missed what they missed, and manually verified every disputed claim.Agenda:- Why I expanded from 3 scoring criteria to 6 — and how adding Business Relevance changed the rankings- What instruction completion reveals that scores alone don't (Perplexity: 10/12, Gemini: 1/12)- The difference between hallucinations and false claims — and why it matters for automation at scale- Why four models found September funding and stopped looking (the persistence failure pattern)- The $400M funding round that may or may not be real — REPORTED vs VERIFIED as a new verification category- Which model to use for high-value accounts vs volume enrichment in Clay- Web app vs API vs Clay: why your results will be different and what I'm testing in the next benchmarkReferenced:- TrackRec: https://www.trackrec.co- Replit: https://replit.com- Perplexity: https://www.perplexity.ai- Clay: https://www.clay.com- RepVue: https://www.repvue.com- The account research prompt: Available for Outbound Kitchen paid members-Who I am? Elric Legloire, founder of Outbound Kitchen. When you're ready⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

In this episode of Run the Numbers, CJ breaks down the 5,000-year history of marketplaces—from Mesopotamia to Amazon—and the economics behind take rates, trust layers, and vertical unbundling. We unpack Airbnb's fee backlash, Facebook Marketplace's hidden value, why inventory kills platforms, and how AI will reshape discovery—without eliminating the middleman.—SPONSORS:Rillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.com—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNCJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.comSlacker Stuff: https://www.slackerstuff.com/Ben: https://www.linkedin.com/in/slackerstuff/—RELATED EPISODES:The Mindshare Advantage Marketplace Success With Boris Wertz of Version One Ventureshttps://youtu.be/kN61sAxw_ykThe Marketplace Plus Model Explained | Colin Gardiner of Yonder VChttps://youtu.be/VIWFVwCfyLEA CFO Explains the History of EBITDAhttps://youtu.be/JySZv_fSNqs—TIMESTAMPS:0:00 Preview1:34 Marketplace Origins2:48 The Digital Shift5:55 Unbundling of Craigslist9:56 Sponsors — Rillet | Tabs | Abacum13:21 Smart Phone Revolution17:33 Take Rate Calculations21:08 When the Marketplace Crosses the Line24:49 Sponsors — Brex | Metronome | RightRev28:09 When Fees Become Friction30:37 The Marketplace Plus Model33:26 The $100B Flea Market36:14 The Inventory Trap40:07 The Disintermediation Problem42:35 Convenience Beats Inspection45:09 AI Compresses the Marketplace47:56 You Can't Cut Out the Middleman50:03 Credits#RunTheNumbersPodcast #Marketplaces #PlatformEconomy #Middleman #TechStrategy

Jesse Itzler is a billionaire. He sold a $5B jet company to Warren Buffett. And he's the Co-Owner of the Atlanta Hawks. But at 22, he was a kiddie pool attendant earning $7/hour. He'd spend his breaks dreaming of a more exciting life. In this conversation, Jesse shares the defining moments of his story. You'll walk away with 11 lessons that'll help you build a billion dollar network, master any skill in 100 hours, check off a hard task you didn't think you could do, and much more. Enjoy! Get Jesse's 2026 planning guide here: https://clickhubspot.com/a43e2f Start building with Replit today: https://replit.com/refer/calumjohnson9 Timestamps: 00:00 Intro 02:11 The mindset that took me from $7/hour to $5B in business 08:29 My life as a kiddie pool attendant (and the lesson boredom taught me) 12:34 Watch this if you've gotten rejected recently 18:26 The moment I proved to myself I could do anything 22:11 Apply this mindset to a problem you're dealing with right now (it works!)    27:22 The reason you don't need experience (watch this if you're a beginner!) 31:30 What was your peak success moment? 37:29 The “Misogi” rule (try this today!) 44:00 SIPS acronym: 5 things that determine how happy you are 48:20 The Rule of 100 (how to get better than 95% of people at anything) 53:59 The 3-minute habit to build a billion dollar network (you can use this today!) 57:23 If you lived with me for 15 days, this is what you'd see...

CJ sits down with Mike Jung, Co-Founder and Managing Partner of Founders Circle Capital. They unpack the rise of structured liquidity, how secondaries went mainstream, and what CFOs should know before running a tender. Mike shares lessons from the dot-com era, AI's “super cycle,” and what separates durable growth companies from hype.—SPONSORS:RightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNMike: https://www.linkedin.com/in/mikjunghttps://www.founderscircle.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/https://www.mostlymetrics.com—TIMESTAMPS:1:08 Founder Circle origin3:15 The founder liquidity insight5:16 Staying private longer problem6:04 Secondary market control vs chaos8:44 Secondaries over IPOs10:12 Liquidity keeps VC alive11:27 Ask Jeeves dot-com lesson12:26 $190 to $1 + AMT reality13:10 Sponsors — RightRev | Rillet | Tabs16:39 Private share opacity risk20:25 Founder + employee liquidity playbooks21:55 Early investors need liquidity too22:31 Cap table math actually matters24:17 SPV fee stacking insanity25:37 Sponsors — Abacum | Brex | Metronome28:54 Tender offer guardrails30:09 Minimum vs maximum liquidity balance33:01 Growth stage sweet spot + IPO bar rising34:17 AI Cambrian explosion34:58 Buying fear vs buying hype36:29 AI growth sustainability37:19 Founder-led advantage + product velocity38:47 TAM is created, not measured41:06 Anti-portfolio lessons43:01 What is a supercycle44:34 Do supercycles end in crashes?46:16 AI's unprecedented adoption curve48:31 Community as a moat52:50 Earning the right to be on the cap table

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview David Kaylor (https://x.com/@David__Kaylor). In this episode, we dive into the reality of AI adoption in the highly regulated banking sector and why the industry has been a slow follower. David, who works on digital banking services at Alchemy Technology, gives us an insider's look at how he leverages AI to eliminate repetitive tasks from his daily workflow. We discuss the specific strengths of different AI models like Gemini, Grok, ChatGPT, and Claude, and how to choose the right one for the job. Even if you have no technical coding background, David explains how you can use these AI assistants alongside tools like Replit and Google Apps Script to build powerful business automations, streamline team time tracking in Jira, and even create a fun clicker game in under 30 minutes.Questions This Episode Answers:1. Why is there so much fear around implementing AI tools in the banking and finance industry?2. How can you use AI to write simple scripts and automate repetitive business tasks without being a software developer?3. What are the unique advantages of using Gemini, Grok, and Claude over just relying on ChatGPT?4. How can you leverage Google Apps Script and Google Sheets to automatically send email alerts to your sales team?5. How can an AI-generated script seamlessly audit your team's Jira tickets and solve everyday time-tracking headaches?Enjoy the conversation!__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 AI in Everyday Work Life02:52 The Role of AI in Banking06:13 Personal AI Applications and Tools09:06 Creating with AI: Game Development12:04 Automating Tasks with Google Apps Script14:58 Exploring Automation Opportunities

Stripe, the programmable financial services company, has signed agreements with investors to provide liquidity to current and former Stripe employees through a tender offer at a $159B (€135B) valuation. While the majority of funds for the tender offer are being provided by investors including Thrive Capital, Coatue, a16z, and others, Stripe will also use a portion of its own capital to repurchase shares. Stripe also published its 2025 annual letter to the Stripe community, detailing a strong year for businesses on Stripe and the internet economy overall. Businesses running on Stripe generated $1.9 trillion in total volume, up 34% from 2024, and equivalent to roughly 1.6% of global GDP. Beyond payments, Stripe's Revenue suite (comprising Stripe Billing, Invoicing, Tax, and more) is on track to hit an annual run rate of $1 billion this year. In the letter, cofounders Patrick and John Collison wrote: "Our programmable financial services now power more than 5 million businesses directly or via platforms, including all of the top AI companies, many of the largest blue-chip companies (90% of the Dow Jones Industrial Average), most of the biggest tech companies (80% of the Nasdaq 100), and a significant fraction of freshly minted startups (25% of all Delaware corporations are now created with Stripe Atlas) […] Stripe remained robustly profitable, allowing us to continue investing heavily in product development (with more than 350 product updates last year) as well as acquisitions. […] All in all, 2025 was a strong year for the internet economy, and we're delighted to see so many of Stripe's customers do so well." Kareem Zaki, partner at Thrive Capital, said: "After a decade of partnership and seeing their work up close, we believe Stripe has built the premiere financial infrastructure stack for the internet economy, relied on by the fastest growing companies for payments, billing, fraud prevention, tax, and more. While their core business has never been stronger, we believe their most transformative chapters are being written right now. We believe Stripe's lead will only expand across the future of money movement due to their leadership in agentic commerce, stablecoins, and more." New businesses on Stripe are scaling at record speed The 2025 cohort of new businesses on Stripe is the highest performing in the company's history. More new companies joined Stripe in 2025 than ever before, with more than half (57%) based outside the US. Businesses in the 2025 cohort grew around 50% faster than the 2024 cohort. The number of companies reaching $10 million ARR within 3 months of launch was double the 2024 count. Companies incorporated via Stripe Atlas are also monetising sooner: in 2025, 20% of Atlas startups charged their first customer within 30 days, up from 8% in 2020. Businesses on Stripe are increasingly global by default Over the last few years, the country-by-country expansion model has melted away. The "domestic market" for a new generation of internet businesses is the internet itself. Nearly every recognisable AI product launched globally by default, including ChatGPT, Claude, Replit, Lovable, Base44, Vercel, Cursor, Midjourney, and many more. Among Stripe businesses with mostly international revenue, 30% of that revenue comes from countries that are neither their home market nor one of the top 10 global economies. "This isn't merely about incremental revenue from a 'long tail' of international users. In many cases, the 'long tail' is much of the dog," the Collisons wrote. Building the economic infrastructure for AI Agentic commerce has moved into a phase of building and real-world experimentation. As with the early internet, the future success of agentic commerce is contingent on universal interoperability. To that end, Stripe has been working with a broad set of partners across AI labs, retailers, and leading ecommerce platforms to lay the groundwork for this generational shift: With OpenAI, Stripe developed the Agentic Comm...

In this episode of Run the Numbers, CJ sits down with Mateo Bryant, CFO of Minted. They break down Minted's life-event flywheel and decades-long LTV, managing extreme seasonality when half the year happens in one month, and balancing long-term CAC with short-term monetization. Mateo also shares lessons from scaling Uber and Amazon globally, localization missteps, and making marketplaces work in emerging markets.—SPONSORS:Abacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/run—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNMateo: https://www.linkedin.com/in/bryantmatt/Minted: https://www.minted.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Peter Oey, CFO of Grab:https://youtu.be/tdq0AZO0dLU—TIMESTAMPS:00:00 Intro03:16 Fixer to CFO05:32 Mexico City Startups09:00 Minted Flywheel10:24 LTV Expansion11:04 Entry Points12:18 CAC and Cohorts13:42 Sponsors: Metronome | RightRev | Rillet17:06 Wedding Lifecycle19:49 Holiday Forecasting22:23 Retail Calendar24:03 Cash Flow Swings25:05 Marketing Over Sales26:06 Email Limits27:41 Sponsors: Tabs | Abacum | Brex31:02 Retail Strategy35:08 Global Experience40:47 Uber Cash Economics46:04 Cost of Not Localizing50:19 Importer of Record53:17 No Google Lesson55:34 QBR Mistake56:48 High Leverage Hours59:03 Finance Stack59:50 Seven Day Cruise Expense#RunTheNumbersPodcast #MarketplaceStrategy #EcommerceFinance #GigEconomy #CFOInsights

AI fatigue is real, but what if the solution isn't less AI but a smarter approach to how we validate and implement it? On this episode of Power Supply, we're joined by David Newton, SVP of Product, Customer Success, and AI Initiatives at HANDLE® Global and host of the Canopy podcast, to cut through the AI hype and talk about what's actually working in healthcare supply chain. David outlines why blockchain stalled while AI accelerated, how to turn proprietary data into a competitive advantage, and how to approach AI with the right mindset—trust but validate, start small, and focus on judgment over automation. He shares practical tips for using AI tools like ChatGPT and Replit, why storytelling matters as much as the technology itself, and how to build real value without chasing every new tool that comes along. Tune in to this episode for a refreshing take on how to cut through the noise and apply AI strategically -- without the burnout. Check out more AI insights from David on his podcast, Canopy -- https://www.youtube.com/@JoinCanopy Once you complete the interview, jump on over to the link below to take a short quiz and download your CEC certificate for 0.5 CECs! – https://www.flexiquiz.com/SC/N/ps17-04 #PowerSupply #Podcast #AHRMM #HealthcareSupplyChain #SupplyChain #AI #Validate #Technology #Innovation #Data

AGENDA: 04:14 Anthropic's $30B Raise at $380B 06:18 Why SaaS Stocks Keep Getting Crushed 18:15 Wall Street's New Religion: AI Replaces Headcount  22:42 The Bear Case for Shopify: What Could Go Wrong? 31:51 Replit and Lovable are Proof Figma Missed Out: Figma; Buy or Sell?  48:42 Stripe Raises at $140BN: Is Stripe Wildly Overvalued or Adyen Undervalued?  54:36 OpenAI Buys OpenClaw 01:06:28 Thrive's $10B Growth Fund 01:09:10 Arif Janmohamed Leaves Lightspeed for New Firm 01:17:12 Workday's Founder Returns as CEO: Will it Work?  01:20:34 Which Founder Returns Next: HubSpot, Twilio, Gitlab? 01:24:03 Is Monday.com a Screaming Buy? 01:28:25 Jason and Harry Bet $200,000  

In this episode of Run the Numbers, CJ sits down with Varsha Udayabhanu of Invisible to unpack what enterprise AI adoption actually looks like beyond the hype. They cover forward deployed engineers, eight-week solution sprints, value-based pricing when outcomes are hard to meter, ARR vs. services revenue, and why “momentum” beats traditional SaaS metrics. A tactical look at trust, expansion, and building durable AI revenue.—SPONSORS:Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.ai—LINKS: Varsha: https://www.linkedin.com/in/varshaudayabhanu/Company: https://invisibletech.ai/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Marketing as a Form of Capital Allocation With Carta's Head of Growth Angela Winegarhttps://youtu.be/rG09ehsrWv8—TIMESTAMPS:00:00 Intro03:21 What Invisible Technologies Does05:34 Enterprise AI Adoption Gap07:38 Forward Deployed Engineers09:44 Evolving GTM in AI Services10:36 Solution Sprints12:37 Sponsor — Brex | Metronome | RightRev15:56 Upfront Investment vs. Upside18:38 Bespoke Deals20:37 Value-Based Pricing in Enterprise AI22:12 Value Sold vs. Value Delivered23:31 Enterprise Revenue as a Portfolio of Bets24:53 Time-Bound Solution Sprints27:06 Sponsor — Rillet | Tabs | Abacum30:32 Humans in the Loop & Expert Incentives33:38 Niche Human Expertise34:10 Rethinking KPIs Beyond ARR35:44 Momentum Metrics39:00 Evaluating GenAI Financial Profiles40:47 Expansion as the Atomic Unit42:19 AdTech Lessons on Distribution & Brand43:23 Why Brand Matters for Enterprise47:10 Commoditization Risk48:31 Long-Ass Lightning Round53:20 Credits

SaaStr 842: The 90/10 Rule for AI Agents: What to Build vs Buy with SaaStr's CEO and CAIO SaaStr's Chief AI Officer, Amelia Lerutte, and SaaStr CEO & Founder Jason Lemkin break down SaaStr's evolving 90/10 rule for AI agents and apps: buy 90% off the shelf, build the 10% you can't find. In this episode, they walk through two recently built tools: an internal AI VP of Marketing and an external-facing customer portal, and share the real trade-offs of deploying vibe coding apps into production. Topics covered: Why we replaced a paid SaaS tool with a vibe-coded app (and what pushed us over the edge) How Claude Cowork changed the game for building more complex apps The role of writing a spec before vibe coding Tackling single sign-on as a non-engineer How we used Cowork to process 150+ customer contracts in hours instead of days Lovable's data on what people are actually vibe coding Maintenance costs and the hidden time suck of custom apps Why zero AI in your product should scare you The "jaw drop" test for SaaS products in 2026 -------------------------------------- Tools & resources mentioned: Replit, Claude Cowork, Clerk, Lovable, Zapier, Salesforce, Monaco

We're keeping the AI Tools series rolling with Adir Traitel, entrepreneur, product leader, and early adopter of just about every vibe coding tool out there. Adir joins Matt and Moshe to share hard‑won lessons from building real apps with v0, Bolt, Replit, Figma Make, and more, all while running his own startup and consulting on product builds across industries.From his early days in project management and mobile app startups, through work with companies like Moovit and across FinTech, AgTech, and credit scoring, Adir has consistently been the “try it first” person for new build tools. In this episode, he breaks down what these platforms actually do well, where they fall short, and how product managers can use them responsibly for experiments, prototypes, and beyond.Join Matt, Moshe, and Adir as they explore:Adir's journey from PM and founder to heavy user of vibe coding tools in his current startupHis 3-layer view of the ecosystem: AI dev assistants (Cursor, Antigravity, Claude Code), front-end mockup tools (v0, Figma Make), and full‑product builders (Lovable, Base44, Bolt, Replit)V0: where it shines for quickly building functional UIs (like his electricity consumption app) and where it starts to crackLovable: great for sites and simple flows, but not ideal for complex SaaS or CRM‑like productsBolt: fun and fast for concepts, but why it never got him close to productionReplit: stronger agents and capabilities, but weaker UI output and surprising backend defaults that can get very expensive very quicklyFigma Make and Google Stitch: when design quality trumps everything else, especially for SaaS interfacesThe real costs of vibe coding: AI token spend, hosting/pricing traps, and why production economics matter as much as build speedWhat his “dream product” would look like, including multi‑agent environments, better security/privacy, and built‑in QA and CI/CDHow all this is reshaping the product management role, and why curiosity and tool fluency are becoming must‑have skillsAnd much more!Want to connect with Adir or learn more?LinkedIn: https://www.linkedin.com/in/adirtraitel/ Website: https://adirtraitel.com/You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In today's Tech3 from Moneycontrol, we bring you a wrap from the India AI Impact Summit in Delhi. Venture Capitalist Vinod Khosla calls Emergent one of the fastest growing startups he has ever seen as it reportedly doubles ARR to $100 million in weeks. AI Coding firm Replit's CEO Amjad Masad spoke to Moneycontrol on India plans, AI bubble and Razorpay integration, Infosys cofounder Nandan Nilekani says AI is an execution risk not an opportunity gap, Zoho's Sridhar Vembu flags affordable AI momentum, Philips CEO Roy Jakobs highlight India's healthcare AI role, and Neysa's plans to use $1.2 billion to expand GPU infrastructure.

Which accounting firms really deliver sane hours and happy teams? Dom Piscopo (Big Four Transparency) reveals this year's best—and worst—by job satisfaction and hours, including surprising outliers. Blake and David also unpack how AI startups are carving up PwC-style services, why Hazel AI rattled wealth managers and Intuit/Xero stocks, and where GLs still hold a moat. Plus, a practical way to use AI for W‑4/withholding—and an accountant's take on Carvana's too-good-to-be-true margins.SponsorsOnPay - http://accountingpodcast.promo/onpayUNC - http://accountingpodcast.promo/uncFutureViews System - http://accountingpodcast.promo/bezChapters(01:19) - Pets, Candy, Jewelry & Prefixed Dinners: Where the Money Goes (03:14) - Live Chat Shoutouts + Today's Guest Tease: Big Four Transparency (05:53) - Yours, Mine & Ours: How Couples Split (or Merge) Money (08:56) - Financial Secrets vs. “Cheating”: The Bankrate Survey Findings (11:01) - Meet Dom Piscopo + 2025 Best/Worst Firms by Job Satisfaction (15:43) - How the Rankings Work: Sample Size, Methodology & Office Variance (19:28) - Service Lines Compared: Tax vs Audit vs Advisory Satisfaction Trends (22:28) - Hours Worked Rankings + Do Hours Actually Drive Happiness? (25:04) - Where the Big Four Land: Satisfaction & Hours Benchmarks (26:51) - AI Disruption Debate: “Every PWC Webpage Is a $10B Startup” Tweet (28:47) - AI Startups vs QuickBooks: The SaaS Attack Cycle Restarts (29:55) - Hazel AI Shakes Wealth Management: Tax Planning at Scale (32:19) - Consumers Trust AI Money Advice + A Withholding/W-4 Use Case (35:11) - “Good Enough” AI: How Firms Can Productize & Review AI Work (36:38) - What Humans Still Do: Taste, Comfort, and Serving the Underserved (41:51) - Intuit & Xero Stocks Drop: CEOs Defend the Data-and-Trust Moat (45:11) - TurboTax Disruption? Building Tax Engines with AI Agents (46:52) - Vibe Coding Reality Check: Small Tools Now, ERPs Much Later (51:32) - Carvana Accounting Red Flags: When Margins Don't Add Up (56:04) - Wrap-Up: Big Four Transparency + CPE Credits via Earmark  Show NotesValentine's Day Spending Expected to Reach New Records https://nrf.com/media-center/press-releases/valentine-s-day-spending-expected-to-reach-new-records Survey: Most Couples Keep At Least Some Of Their Money Separate https://www.bankrate.com/credit-cards/news/couples-finances/ Survey: 2 In 5 Americans In A Relationship Have Kept A Financial Secret From Their Partner https://www.bankrate.com/credit-cards/news/financial-infidelity-survey-2025/ AI Tax App Crashes Financial Stocks on Wall Street https://cpatrendlines.com/2026/02/10/ai-tax-app-crashes-financial-stocks-on-wall-street/ Americans Are Asking AI for Money Advice, But Should They Trust It? https://www.bestmoney.com/financial-advisor/learn-more/do-americans-trust-fin-ai 82% trust AI for financial information and guidance https://www.accountingtoday.com/news/82-trust-ai-for-financial-information-and-guidance Intuit Is Down 33% Year to Date. Here's Where the Stock Could Be Headed in 2026 https://www.tikr.com/blog/intuit-is-down-33-year-to-date-heres-where-the-stock-could-be-headed-in-2028 Intuit Stock Is Down 24% Already In 2026. Time to Buy? https://www.fool.com/investing/2026/01/30/intuit-stock-is-down-24-already-in-2026-time-to-bu/ Xero (ASX:XRO) Shares Crash 13% in Tech Selloff—Broker Urges Hold https://kalkine.com.au/news/technology/xero-asxxro-shares-crash-13-in-tech-selloffbroker-urges-hold Xero share price slides 14% in a week — what to watch next for ASX:XRO https://ts2.tech/en/xero-share-price-slides-14-in-a-week-what-to-watch-next-for-asxxro/ I've tested and ranked the 10 best vibe coding tools in 2026 https://www.techradar.com/pro/best-vibe-coding-tools Your Complete Guide To Vibe Coding Tools In 2026: Build Apps Just By Talking To AI https://softtechhub.us/2026/02/11/guide-to-vibe-coding/ AI startup Replit launches feature to vibe code mobile apps https://www.cnbc.com/2026/01/15/ai-startup-replit-launches-feature-to-vibe-code-mobile-apps.html Vibe coding - Wikipedia https://en.wikipedia.org/wiki/Vibe_coding What's actually driving Carvana's margins? https://www.cfo.com/news/whats-actually-driving-carvana-margins-ernie-garcia-drivetime-bridgecrest-zach-shefska-ray-shefska-/810911/Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsori...

In this episode, CJ talks with Paul Stansik of ParkerGale Capital about what separates Simplifiers from Complicators. They unpack why most board meetings miss the point, how to answer the actual question, and why naming the real problem builds trust.—SPONSORS:Abacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/run—LINKS: Paul on LinkedIn: https://www.linkedin.com/in/paulstansik/ParkerGale Capital: https://www.parkergale.com/https://hellooperator.substack.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Fixing Broken Windows in Investing3:08 What an Operating Partner Actually Does5:35 Managing Nine Portfolio Companies6:07 Where PE Investors Spend Their Time9:02 Do Investors Think About You All Day?10:16 The Operator “Bermuda Triangle”12:35 Sponsors — Abacum | Brex | Metronome15:52 The CFO “Triangle of Doom”17:47 How to Become an Investor Favorite18:42 Templates Build Trust in Board Communication20:54 Using Trusted Data22:10 The Board Payback Record Scratch23:18 Building Your “Data Diet” With the Board25:19 Sponsors — RightRev | Rillet | Tabs28:47 Signs a Team Isn't in Command31:30 Board Meetings Aren't a Performance34:16 “20 Board Meetings—Don't Waste Them”35:15 Ask Permission to Reallocate the Agenda37:54 When to Send Board Materials40:28 Simplifiers vs. Complicators41:58 The Simplifier Finds the One Question That Matters42:16 Three Traits of a Simplifier: Answer, Find, Do43:15 Why Complicated Operators Take You on a Ride44:26 Selling vs. Substance46:23 “Get There, Bob”47:25 Why We Hedge49:36 You Can't Fix a Secret52:50 Credits

In this episode of Run the Numbers, CJ Gustafson talks with Rivian CFO Claire McDonough about financing one of the most capital-intensive businesses in the world. They cover long-term investment decisions, capacity planning, cash management as production scales, lessons from Rivian's nearly $14B IPO, the risks of over- and under-building, and why federal EV tax credits matter more than most people think.—SPONSORS:Tabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cj—LINKS: Claire on LinkedIn: https://www.linkedin.com/in/claire-rauh-mcdonough-5291b946/Rivian: https://rivian.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Why Revenue Recognition Is the Next AI Battleground | Dan Miller of RightRevhttps://youtu.be/TxhTtwmOass—TIMESTAMPS:00:00:00 Craziest Expense Story at Rivian00:01:22 Intro to Claire McDonough00:03:09 Capital Intensity and Vertical Integration at Rivian00:06:44 Raising $14B: How Rivian Planned Its IPO Capital00:10:22 Capacity Planning and Scaling R2 Production00:12:13 Sponsors — Tabs, Abacum, Brex00:15:34 Sweating Existing Capacity vs Overbuilding00:18:22 Winning EV Adoption from ICE Buyers00:22:27 How Federal EV Tax Credits Shape EV Pricing00:26:03 Sponsors — Metronome, RightRev, Rillet00:29:27 R2 as a Driver of Long-Term Profitability00:33:14 Supply Chain as the Critical Path to Launch00:36:53 Product Roadmap as the Anchor for Capital and Headcount00:39:40 Peloton and Flipkart Lessons from Banking00:43:42 Biggest Career Mistake00:44:50 Advice to Younger Self00:47:19 Rivian's Finance Software Stack

In this episode, I take you even further down the rabbit hole of vibe coding and share what I have built in just one week using Replit and AI-assisted development. What started as curiosity quickly turned into a fully functioning software tool I am actively using in my own workflow. I walk through the evolution of my new app, PodBriefer—why I built it, how it works, and the real-world problems it solves for me as a coach working with entrepreneurs who are also content creators. I explain how the app lets me subscribe to podcasts, search the Apple Podcasts directory, store episodes locally for instant access, generate transcripts, download audio files, and analyze content without the friction I used to accept as normal. I also share how I am using custom GPTs to create deep-dive summaries, pull quotes, action items, and insights from transcripts. You will hear how I connected the app to Kindle to automatically turn podcast episodes into EPUBs, complete with cover art, show notes, transcripts, and a table of contents, so I can read, highlight, and extract notes directly into my thinking and journaling workflow. Along the way, I talk candidly about costs, tradeoffs, beta limitations, and what this kind of tool might make possible in the future, both for me and potentially for others. This episode is a behind-the-scenes look at how AI is changing the way I build, think, and work right now. Affiliate Link For Replit: If you are curious about vibe coding and want to explore Replit for yourself, visit podcastanswerman.com/replit to check it out. Next Level Mastermind or One-On-One Coaching If you are interested in the Next Level Mastermind, one-on-one coaching, or want to talk about whether any of this fits into your own creative or business journey, email me at cliff@cliffravenscraft.com.

Tim Martinez, Value Creation, Strategic, and Exit & Succession Planning Advisor—also known as “The Inside Man”—is on a mission to empower entrepreneurs and make the world a better place with his philosophy of “No entrepreneur left behind.”  In this episode, Tim shares how he evolved from starting small businesses as a teenager to advising founders on high-stakes growth and exit decisions. We explore Tim's 3 Exits Framework, which breaks exit planning into three critical phases: Mental Exit (separating identity from the business), Role Exit (building leadership and succession so the business can run without the owner), and Technical Exit (valuation, deal structure, and the formal sale process). Tim also explains why AI is accelerating business disruption, why minimalism is a competitive advantage, and what keeps so many businesses stuck at the $3M revenue ceiling. — 3 Ways to Exit Your Business with Tim Martinez Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group. And I have as my guest today Tim Martinez, who is a Value Creation, Strategic, and Exit & Succession Planning Advisor, also known as “The Inside Man.” Tim also has a successful Substack with lots of followers, which has a similar title, Inside Man. He's also built his own ChatGPT API, so he's running with the times. Tim, welcome to the show.  Thanks, Steve. Great to be here.  Finally, we have someone who is ahead of the curve on AI and the technological evolution that's part of this new industry revolution. So let’s start with my favorite question. What is your personal ‘Why’ and how are you manifesting it in your practice and in your business?  Yeah. My personal ‘Why’ is to make the world a better place and to empower entrepreneurs. “No entrepreneur left behind” has kind of been my motto. Since I was a kid—I started businesses very young, like 15 or 16—people would ask me, “How are you doing this?” And I would help however I could. And it was just always felt really good to help my fellow entrepreneurs, whether I was helping them in a small way or a big way. And there's nothing better than seeing some of the advice you're able to give someone actually get implemented.Share on X Then you see them go, “Wow, oh my gosh, this is great.” And again, sometimes it’s small, sometimes it’s big. But I believe entrepreneurs rule the world, and I do my part every day—whether it's writing my Substack, jumping on podcasts, or writing books. I'm always here just to share what I've learned, because I think that’s what makes the world go round.  Well, you have a boundless energy, because you are writing books, you are writing your blog, you are doing these podcasts. Then you also have to gather the information, right? You have to work with clients—otherwise there's no raw material. That is very impressive. So what took you to this point? How did you evolve? I mean, you started at 15, but surely you were not coaching or consulting people at 15.  Yeah, so I probably spent about 10 years just starting small businesses. I had the lemonade stand, then a coffee business and a silk-screen business. I had a DJ business, a retail store, a marketing and advertising agency, a small one, but I was able to sell it. And I got lucky and sold a couple of these small businesses. I built websites, built apps—I mean, anything you can do to make a buck. I was just kind of hustling and figuring it out on my own. And at a certain point in time, maybe like 10 years later, someone asked me to help them write their business plan. It was the first time I thought, “Huh, someone wants to pay me to help them write a business plan. That sounds interesting.” Okay. And I had written all of my own business plans for 10 years. I used to go to SCORE—the Senior Corps of Retired Executives, a division of the SBA—and they would consult for free. They still do, by the way. And I always said my long-term goal was to be an old advisor at SCORE, because they helped me so much when I was a kid.Share on X So I charged money for my first business plan. That person was able to raise money from their uncle. Then they said, “Well, hey, we got this money. What do we do now?” So I said, “Well, I think I can charge you. I think this is called consulting. Maybe I'll just charge you to help execute your business plan.” It was a small business, and I went to Barnes & Noble and bought a book that was like this big—How to Start a Consulting Business. I just sat there and highlighted the whole thing. It had CD-ROM forms in the back. I knew nothing about consulting. And probably for the next handful of years, I just focused on writing business plans and helping people. That's kind of what got me into consulting and working with bigger businesses. It really started with business plans and small businesses.Share on X  Yeah. I mean, business plans are great because you are envisioning the future of the business, crunching the numbers—what's going to happen with your top line, bottom line, costs, overhead, margins—and essentially it helps you visualize the skeleton of the business. Then you can put the meat on the bone, kind of thing.  Yeah. And I had worked on hundreds of business plans, and  pitch decks, financial models, and market research. That documentation aspect of a business, I had spent a good, let's say, 10 years working very heavily with clients as an analyst in consulting firms. And that’s really what got me into the game and got me into bigger and bigger businesses, because I got very good at doing that with no formal training—and we didn't really have what the internet is today. I remember going to the downtown library in Los Angeles, finding articles, and taking scanned copies of them. That’s how we did our market research. And business plans used to be like a dictionary. The SBA would require business plans to meet all these requirements, so we ended up with huge business plans. Now people want a one-pager, maybe a 10-slide deck, and call it a day. Where I got my chops was from understanding every imaginable nuance of every business in all verticals. I worked around the world with businesses, and I guess I was in the right place at the right time for it.Share on X  Yeah, that’s very humble. So one of the things that you do is you help people prepare for exit, and you came up with this framework called The 3 Exits Framework. I thought it was fascinating to think about exits from different perspectives and to have different mental models for them. How did you come up with this, and can you explain to the audience what it looks like, how it works, and how it helps entrepreneurs? Yeah. And it’s important to note that I started my career starting businesses, helping people get the start. And as I got older, the businesses I worked with were also getting older. And as I got a little more gray hair and a few more wrinkles, people would take me more seriously at the later stages of the business, when they maybe wouldn’t take me so seriously when I was in my early twenties. So my business had evolved from starting to growing and then eventually to exiting, and that’s where most of my clients are now. What I’ve discovered is most people enter the exit planning conversation at the very end, asking, “What is my business worth? Who wants to buy it?” Needing a business valuation is the most common first question: “Whoa, what's it worth?” But after working with a handful of companies through this whole exit process, you start to realize that there’s far more than just the numbers. The 3 Exits Framework says there are three exits that need to occur before you're out and on your yacht, sailing into the sunset.Share on X The first exit is the mental exit, which we can talk about at length. It's your role—your identity in the business. Who am I if I'm not the CEO? What am I going to do with my time if I'm not running this business? Who am I if people can't come to me with their every burning question? It’s this piece, it’s so important. And a lot of people don’t want to give up control. They don’t even know they’re control freaks, which I'll call them for lack of a better term. But they don’t even know that they are that. You have to help them through that.  The second exit is really your role exit, because eventually someone needs to run this business in your absence. The whole tenant of selling a business is that you're not going to be in it. You might have earnouts or some transitional involvement, but eventually, you will not run this business. So you have to replicate yourself. Most people say, “I've tried, but it hasn't worked.” Well, you know what? Now’s the time for this to work. It's time to build SOPs, standards of excellence, and get someone who could be better than you ever were in that seat. So that role exit is a big part, and that would be true succession. The other part of that is it’s not just the CEO or the owner. A lot of times it’s them and they’re number one, or they’re number two, or number three, because in many cases those people also have equity and ownership in the companies in some cases. So we need to get succession in line for multiple roles.  And then the third exit is your technical exit. It’s the one piece everyone feels like they start with that is your valuation, getting your documentation together, running a formal auction process, making sure that you’re looking at multiple buyers, whether strategic or financial. And just running a very thorough, formal process that’s going to get you the highest valuation possible. And structuring a deal that there’s going to be a little bit of give and take. Most deals die because of misaligned expectations. And they’re usually misaligned expectations on that final exit. So when you put those three things together and someone says, I want to sell my business, or we're thinking about exiting in the next couple years, I just start first with the identity part.Share on X Yeah. And people underestimate the significance of that. It can sound touchy-feely and like an afterthought in most cases. And people think that just by earning a sack of money, their life will be solved and all problems will disappear. But actually, problems exist at all levels. Elon Musk probably has more problems than most listeners here.  Sure.  So, it's not going to solve your problems, and identity is huge. I talk to people—I was also an M&A advisor for over 10 years, sold many businesses, visited former clients, and went out on their boats on the lake. Often, that was the one time they actually used the boat, because they didn't really need it. They thought they did, but they didn't. Next time, the engine wouldn't start, or the boat was full of water. Or they'd go out on the golf course, meet new people, and ask, “Who are they?” It turned out they were just retired rich people—not interesting entrepreneurs or CEO. That's a huge change. And with the Great Wealth Transfer and the aging Baby Boomer population, there's a statistic that says 50% of business owners are forced into an exit—meaning there’s some life event that occurs that says you now need to sell your business and get out. And you and I both know that if you’re forced to an exit, you’re going to be taking a major discount. But those forces can happen when you have a heart attack, or someone in your family has a health issue, or your grandkids and everybody moves multiple states and you want to go with them. All these things happen. So our recommendation is just start having the conversation now.  Yeah. And so I think it's a little bit like saving for retirement. A lot of people keep putting it off, and eventually there's no time left to do it, and then they’re in trouble. So how do you even raise awareness with people about this? How do you work with them to prepare this? Can you actually raise awareness and make them feel this is a real issue? How do you raise awareness?  Well, I have my blog, and that’s probably where I do most of my conversations. I wrote about the 3 Exits Framework. Any chance I get to speak, I always use it to raise awareness around the subject. In my consulting practice, I work with a handful of consulting firms and investment banks. Anytime I get pulled into a conversation about exit planning, I usually just pause for a second and just talk about their life goals.Share on X Like, what do you really want this exit to do for you? Because there are so many things you can do and a million ways to do it. So, what do you really want this exit to mean for you? Also, remember, Uncle Sam is going to take his cut—so not everyone gets the biggest check possible. Usually, what we hear is people say, “I'm just so exhausted. I don't have anything left in me for this thing, and anything I can get for it, I'd be happy to take, as long as it means I don't have to put out every single fire.” And this usually happens because they didn't build good systems to remove themselves from the business.  Otherwise, they would've been the chairman, and just meeting with their CEO, who's running the business. That’s usually not the case with these owner-operator businesses. And that doesn't mean they're small, by the way. I mean, they could be running a $50 million business and still the choke point where everything has to run through them and they’re just exhausted and burnt out.  Do you think that this AI revolution is going to change things? Is it going to make more people exit-ready because it's easier to create systems?  Perhaps. Yeah, I think it's helping the service provider world be more efficient. In my world as a management consultant, I'm 10 times more efficient. I’m sure you’re 10 times more efficient with tools like the one we’re using here, and it just helps us speed things up. I've noticed people use it as a thought partner, as a psychiatrist, even as a best friend. I've seen people go into deep dialogue like, “Should I sell my business? Give me five factors.” The ones who are aware of this are using it fully. The people who aren't are a little behind the times. And then from an operational standpoint, yeah, I mean with the bots and all the many things you could put in your business to make you more efficient, but that doesn’t apply to everybody. I would say there’s going to be a 10 to 20% group of people that are already on it, making it work for them, and then there are the laggards who will probably never touch it.  Or is it that—okay, maybe we can be more efficient with AI, but we'll have the appetite to do more, and there will be more complexity? Some things we'll simplify, but we'll create other complexities that replace the previous ones. What do you think about it?  Yes. So businesses typically have cycles. There's usually a five- to seven-year cycle where a business hits its peak, and then it starts to trend down. And they usually have some level of innovation that has to reoccur for it to hit another up cycle, and then there will be a down cycle and so on and so forth. So it's always like an up slope after an up slope. When you've been in business for 30 or 40 years, you've gone through multiple rounds of these cycles—three or four rounds of those cycles. What I’m hearing right now is business owners that are, let’s say, at retirement age, they’re saying, “I don't know if I have what it takes to go through this AI cycle. Maybe I had what it took to make it through the eighties, nineties, and two thousands, but now we're in 2026. I’m not sure I’m equipped, or my team who’s also very senior, they don’t feel like they have what it takes to get through that next cycle without hiring young talent. But even then, they don’t really understand what they’re talking about. So there’s this gap. And again, I’m hearing it more and more of people saying, I think now’s the time to get out and let some other company that has gas in the tank, vision, and capacity to come in and do that thing.  Yeah, that's interesting. Do you think a multiple-AI–enabled company versus a post-AI company is going to be markedly different?  Maybe. Because it all comes down to revenue—it comes down to the revenue story. I'll give you a perfect example. You have a very profitable company, but they're using an old CRM. A new company comes in and says, “Hey, you're already profitable. If we buy you and put in a new CRM, maybe we could be even more profitable.” That’s cool. So we don’t really need you to put in all the tech. We’ll come in and do all that, and then we’ll get the upside on that. Just as long as you’re profitable, as long as you’re profitable, yet you don’t have major client concentration, your business has all the components. A new company with new vision could come in. That would largely be a strategic buyer. The PE buyer, the financial buyer, most likely is going to want to inject capital into your business so you can go and reinvest, and build new tech, or become a platform, whatever you’re going to be. But that would be a different arrangement. So it's basically a numbers issue. It doesn't matter your technological evolution. And maybe it’s even worse if you've already implemented AI and that only allows you to make five million dollars—there's less upside for the buyer.  Yeah. The bigger concern is: Is your industry at risk because of AI? Is your particular business at risk? And that's why I think people need to adopt it—so they can say, “No, we're not at risk. We've adopted it, we're applying it in whatever fashion we're doing it, and we're going to see the results.” We've already seen a major downswing in a handful of industries because of AI. I mean, advertising agencies are getting hit really hard. People used to be able to charge for writing press releases, to write blogs, to write social, to do video editing on social media. A lot of that's gone, so the bottom tier of those agencies is just gone—there's no need for them anymore.  Do you see people proactively working on making themselves AI-resilient? Everyone knows that they need to do it. Nobody is unaware that today, it’s like websites. There was a time when everyone knew they needed a website. They just didn’t really know how they were going to build it or who was going to build it. They knew it was going to be expensive. It’s kind of where we’re at right now. Everybody knows they need AI. They’re just not exactly sure how they need AI, what it can actually, literally do for them.I think for some people, that big dream that it was going to do everything quickly got taken off the tableShare on X and they say, okay, we could do this much, but even this much is make me very effective.  But it’s just not going to do everything. Like, I still need an accountant. I still need an account manager. I still need someone to do these things, but maybe I don’t need as many people as I once did. So we’re seeing kind of some leveling off there. But I would say largely most people don’t know what AI can do for them, and they’re not really prepared to make those investments. We have a client right now that just made a half million dollar investment into an RFP tool that’s going to help them move faster than their competitors, submit more on RFPs, build everything out in a very complicated way, but they’re making a half million dollar investment. How many companies out there are saying, let’s go, give me the invoice. I’m ready to roll. There’s still a lot of pause there.  What you're describing feels more like a defensive play—okay, we know AI is coming, so we have to implement some AI tools. But I’m thinking more about the big picture. Is my industry going to be disrupted by AI? And how do I pivot my business before I lose momentum, so I become like Netflix—going from a video rental company to a streaming company? Yep.  Do you see companies rethinking their business model?  I think from what I’ve seen, people are rethinking everything—top to bottom. Because you have to start with labor. That’s usually where people start. “AI can do all these things—do I need less talent on the deck?” And if I do, then what can AI do so I don’t have such heavy overhead? Because overhead is also liability, and it has this employment risk behind it. So if you can go from a thousand staff to 800 or 750, great, let’s do it—why wouldn't you do it? Most people are saying, “Let's figure that part out first.” The next thing is the industry disruption, which is what’s our competitors doing to service clients better, manufacture faster, or do things cheaper, so then we’re not left in the dust. So from a production standpoint, we need to figure this out quickly. What I'd say—what I do—is, as an analyst, as a consultant and advisor coming in, that's why I built my AI. I built my AI to fire myself. I basically said, “What I used to do as a management consultant is now irrelevant, because AI is better than me.” So let me just build the digital me and not worry about that side of my business anymore. So I just don’t worry about that anymore. I don’t even really take on assignments that I used to, because AI can do it better and faster. Now, if you want to hire me and allow me to use my AI tool to handle the technical work, I'm more than happy to do that. But I'll tell you firsthand—save your money.  So you're giving it away, or are you selling it?  Yeah, it's free. It's free. It's on ChatGPT. What people can’t do is sit down and have an honest, sincere conversation and ask them the hard questions and challenge them. That's where AI still lacks the human component. I can take a client and say, “Hey, let's hang out. Let's get lunch. Let's go play golf. Let's bring in your kids. Let's talk to your kids. Let's talk about the family dynamic.” Let’s just have a sincere conversation. Let me hold space and create a forum where I can hear people. And that human component is the only thing that I’m worried, like I’m working on now. I'm out of the technical side, because that part of my job is gone.  So fascinating. So does it mean you have to be more of a social animal?  I think so. If you're not going to be a social animal and you're just going to sit at your desk, you should probably be building software using tools like Replit, n8n, or any of these different software tools and just go all in.Share on X But the way we used to do it—you probably see this on LinkedIn, with all the bots on LinkedIn, it’s not what it used to be. It used to be a place where you had a handful of connections and actually met people. Now it’s just so overrun with the bots. It’s like I don’t even want to accept connections anymore. I'd much rather have a conversation like this. To me, this is the future.  Yeah. But maybe we connected originally through LinkedIn. I don’t know where, how we connected, but we may have have connected through a bot—actually.  It’s possible.  Yeah.  It’s possible. But I'll tell you, I connect with maybe one or two percent of people now. Previously, because I didn't get so many inbound inquiries, I would connect with more, because I felt like there was a sincere person on the other end. Now, I really don't know. I've become very skeptical.  Yeah, I'm with you. Let's switch gears, because our time is running out. And there are a couple of things that in our pre-interview you talked about, and one was minimalism. Yeah.  What is minimalism? How do you do it? And what’s a low-hanging way to start to become a minimalist?  It's kind of like that first-principles idea of what really matters. It’s essentialism. It’s kind of getting down to the one thing, that was my recent blog, if there was only one thing you could do this year, but it would make all the difference, what would it be? And anything that gets in the way of that one thing is just noise. For me, minimalism is really about reduction, and kind of getting rid, and being aware and cognizant of things that really shouldn't be on your desk, on your to-do list.Share on X And using AI tools and assistance to get rid of everything that’s low-level activity. If you think of a pyramid, at the very top is where the most value that you can add would be. But yet we spend all of our time, if this is a time pyramid, most of our time is spent at the bottom, the wide part that pretty much anyone can do. So we kind of got to invert the pyramid. To get there, you have to reduce and extract. To protect your time, you have to treat it as very precious and focus only on the most important thing at all times. It is a very hard thing for all professionals to do, and it’s always been a hard thing, but I just take it upon myself and say, okay, well, as a minimalist, I mean, if you were to come to my house and see how sparse my furniture is on purpose. How sparse my closet is on purpose. I’m trying to get rid of options. It's like Steve Jobs and the black turtleneck—if I have one less thing, because I can only make so many choices and decisions in a given day, let me spend my time on the things that are the most important and most impactful.Share on X And that’s not always, because it’s going to put millions of dollars in my bank account. Sometimes it’s just helps me sleep better at night. So I don’t need 50 clients. If I’m going to have 50 headaches. What if I just have five clients? And every one of those was one that I felt very good about, and that would allowed me to charge more. It allowed me to go deeper with them. It's that concept—then you're free to see where your scalable opportunities are. It's the story I told you about a monk who was carving away at this beautiful elephant. Someone walks up and asks, “How did you learn to do this, carving away this elephant in the stone? And he says, Oh, I just chip away everything that's not the elephant. So for me, I have to have a very clear picture of what the elephant is. I have to see the picture in my brain first—like what my life is, what I’m trying to build, how good of a dad I’m trying to be, how good of a husband I’m trying to be, how good of a business partner or a service provider, an advisor. This is my life’s work as a masterpiece, so let me just get rid of anything that doesn’t belong as part of that picture. So that, to me, is kind of how I would explain it. And my approach toward it is I just get rid of everything. It’s not about accumulation. I don't really need more information, because AI already has all the information. Anything I'm going to absorb, I have to be very intentional about—why am I reading it? I see all the books on your shelf. I could show you my bookshelf—tons of books, right? I feel like I've read them all. Am I going to learn anything new? I could also just go back to the books I've already read. I try to highlight them and stuff, but it's like, what more do I need at this point?  Yeah. So I’m wondering about this idea of a lifestyle business versus a growth business. Because what I see is that people who are building a lifestyle business, it’s easier for them to be a minimalist. Because you just do this most valuable thing. You don’t have to build the business. You don’t have to worry about necessarily all the other people, systems, and processes, or making sure of quality control. You just do your high-value work, and at the end of the day, you can put things down and relax. Whereas a growth business, it's different.  I would say with the clients that I have—some have thousands of employees, some have hundreds—I still encourage them to reduce and subtract. Even though they're in high-growth, highly scalable businesses, sometimes the conversation is: How many direct reports do you have, and why do you have that many direct reports? How are you delegating? How are you giving authority? How are you limiting all the inputs? Because a lot of it is noise in your given day. So how do I make your day a little more silent so you can have a little more peace to make better decisions while you run this highly scalable business? Just because you're scaling doesn't mean it needs to be pure chaos. That's what people think—they think, “Oh, if I scale, that means chaos.” I'm anti-chaos.  Okay. But let me ask you this: Two of the most successful entrepreneurs of our time are Elon Musk and Jensen Huang. Elon Musk runs six companies, so he's got a lot of direct reports and goes deep in each of them. And then Jensen Huang has, I don't know, 20, 30, or 40 direct reports—he basically has a million direct reports as well. And that actually allows them to be closer to decisions and make sure things don't go off the rails and their vision gets manifested. So that's what I'm kind of wondering—whether minimalism means you're going to, maybe the flip side is you have to accept less growth, or maybe not.  So I’ve met with a lot of entrepreneurs in my life. Not one of them has been Elon Musk. So I would say we’re looking at the median of entrepreneurs, the average entrepreneur. Those are the people I deal with. I’m not dealing with Elon Musk. I would love to, but I don’t have those types. I have the family-owned business who took it over from their dad and they’ve been running it for 50 years, and he has 250 employees, and he’s got pure chaos, and I’m getting the call to go in and try to sort him out. These are not always the highly sophisticated Steve Jobs types of the world. If you really take a look under the hood with Elon—I read his book and listened to the audiobook with my kids, so I'm very familiar with his story, because I've heard it twice now—what they don't really mention is all the heroes underneath Elon. He wouldn't be who he is without all the many heroes, all the systems, and the Six Sigma and other processes and procedures. That's not to say he doesn't take a deep analytical look at everything, but who are those heroes and what are the processes? I'm far more interested in hearing about his VP of Operations than about Elon. Because what has his VP of Operations worked out? What systems have they implemented that allow him to scale and build a Tesla? Or his COO, like, what do they have going on? Elon's a face. Elon's a madman. He creates all this momentum and chaos, and then he has teams of people behind him who make sense and order out of that chaos. That's why you have what you have with Tesla. If he were just Elon Chaos, without that, I don't believe he would be where he is. But he had people that wanted to get in line. He had a lot of people that wanted to get in line. They believed in his vision. He had huge visions, and it's very inspiring to get behind those visions. Then they say, “Okay, give me the ball. We'll create the infrastructure that allows this thing to take off.” So I'm far more interested in the infrastructure that allows for that scale.  I agree. I'm just thinking whether there is this kind of dichotomy. Because I see that many entrepreneurs—when I was an investment banker—until they sold their business, they were not able to have that simple lifestyle they perhaps desired, because they were building, they were reinvesting. And it wasn't just reinvesting their cash—they were reinvesting their time. So every time they simplified, that was the opportunity cost of not using that time to improve their business. So they plowed it back in, plowed it back in.  Well, it's kind of like the E-Myth is a bit skewed. It's almost like the E-Myth is a myth. E-Myth is a dream—a dream that you can work on your business, step out completely, and everything about it runs itself. It doesn't really work that way. If you're going to be a successful entrepreneur, you're going to have late nights, long weekends, and you're going to feel like every major problem is your own because you're taking all the legal risks. I'm not telling people not to scale. I'm not telling them not to have chaos. What I'm trying to help them do is get clear on what they consider to be important.  And not get killed in the process, and not get divorced.  Statistically, that can happen—the more successful someone gets.  Yeah, it does. Because our time becomes much more valuable, and at some point, it's really hard to say no to the million-dollar hour—to spend that hour watching Netflix with your spouse, right? Exactly. Just feels harder to do.  Exactly.  Yeah.  That was good.  Alright, well, I enjoyed this tremendously. So one more question, one more question that I have to ask you. You talk about this $3 million rule—what do you mean by that? That’s a really interesting concept.  Yeah. So most small businesses get stuck around $3 million, statistically. The question is, why? Why do they get stuck there? A large majority gets stuck and it’s because they create a lifestyle for themself around $3 million. They’re taking enough off the table that they would never be able to find a job that would be able to replace that type of income. So they've made their small business their sole business, their job, and they say, “This is good enough for me,” because let's say half a million dollars, more or less, is going into their bank. They're filling up their 401(k), sending their kids to private school, giving themselves big bonuses. If they're profitable, they don't really see the need to take more risks or double down to go past that wall. I've seen many businesses kind of stay there. They’ll go fluctuate up and down through the years, but more or less they’ll hit that wall. They could stay there for 20 years and never make any progress. It’s not until they put on new thinking and say, we’re going to grow through acquisitions, we’re going to target a different market, new products, we’re going to innovate in some way. But that takes extra gas in the tank. Sometimes, a lot of entrepreneurs, once they hit that first level of success, say, “This is good enough for me,” because it usually takes them about five to seven years to get to that first major breathing point.  They're not hungry enough anymore.  Exactly.  Does someone has to be a little crazy to still want to eat more, even though they're already full?  Yeah. Some people are just wired that way. Some people just more and more, and that's no slight against them. They're never satisfied. They always want more—another dollar, another nickel. If they saw a nickel on the floor, they would stop and pick it up. They want every piece of everything. And those people usually are the ones that go and go and go and go. They’re usually the ones that just keep going because it’s an insatiable appetite. I'm not talking about people who get—well, I don't want to call it lucky—but sometimes things do fall out of the sky. Sometimes a big client falls out of the sky, or an opportunity opens up, and people are smart enough to buy their competitor when the competitor approaches them. Or sometimes they make these little moves, and that gives them a leap. I’m not talking about those people. Those are outliers to me. I’m talking about your average entrepreneur that built a $3 million business on his own with no major clients falling, just hard work, blood, sweat in tears. The average Joe typically gets stuck around that $3 million.  Yeah, that’s interesting. Fascinating. Alright, well, if you don't want to be stuck around $3 million, or if you want to get to the next level, then reach out to Tim and check out what he’s doing. So where can our listeners find you? Where can our listeners find you if they want to learn with you, learn about you, read your Substack, read your books? Where should they go?  Just go to Google or AI and type in Tim “The Inside Man” Martinez. The Inside Man is an acronym for Tim. You'll find my LinkedIn—happy to connect with you, just tell me you heard me on Steve's podcast. You can also check out my blog: it's Tim “The Inside Man” on Substack, or go to www.theinsideman.biz, my website. I'd love to connect with anyone. Well, do check out Tim's Substack—it's awesome. You're going to get more of what you heard on this podcast. And if you enjoy listening, make sure you follow us. Subscribe on YouTube, LinkedIn, Apple Podcasts, or wherever else you get your podcasts, because every week I'm inviting—and luckily more and more people want to come on the show—to have a conversation. So thank you, Tim, for coming, and thank you for listening. Important Links: Tim's LinkedIn Tim's website

AI is everywhere, but most Marketers still don't know what to actually do with it beyond asking for subject lines. Jay and Daniel break down the real AI tools they're using day to day to write faster, create decks, edit video, spin up ad creative, and even build entire business ideas without knowing how to code. They explain why Claude is the best for writing and tone, how Gamma can generate stunning presentations in minutes, why Descript is a cheat code for video and podcast editing, and how Replit makes “vibe coding” a real superpower for marketers. And, how is Google moving in the AI age? Get ready because Gemini and Nano Banana are about to be in your toolkit.  If you want the real marketing AI stack for 2026, this is the episode for you. Follow Jay: LinkedIn: https://www.linkedin.com/in/schwedelson/ Podcast: Do This, Not That Follow Daniel: YouTube: https://www.youtube.com/@themarketingmillennials/featured Twitter: https://www.twitter.com/Dmurr68 LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing Sign up for The Marketing Millennials newsletter: https://themarketingmillennials.com/ Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: https://workweek.com/

In this episode of Run the Numbers, CJ Gustafson sits down with Dan Miller, CFO at RightRev. They unpack why leasing is underused in software, how RevTech emerged, and why revenue recognition may be the next AI battleground. Dan also shares how he evaluates durable growth vs. hypergrowth.—SPONSORS:Rillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.com—LINKS: Dan on LinkedIn: https://www.linkedin.com/in/danmillercpa/RightRev: https://www.rightrev.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:00:00:00 Preview and Intro00:02:41 Why Operating Experience Matters for CFOs00:04:08 Defining Durable Growth00:06:06 Snowflake and Consumption Revenue Complexity00:10:17 Forecasting in Consumption Models00:11:29 AI's Role in Revenue Forecasting00:12:14 Sponsors — Rillet | Tabs | Abacus AI00:15:39 Comping Sales in Usage-Based Models00:18:15 Leasing as a Software Monetization Tool00:20:47 The CFO's Role in Sales and GTM00:22:29 How CFOs Help Close Deals00:24:14 Rev Tech vs RevOps00:26:20 Sponsors — Brex | Metronome | RightRev00:29:40 Where AI Actually Helps Rev Rec00:31:55 Deterministic vs Probabilistic AI00:33:05 Why Enterprises Hesitate on AI Agents00:34:18 Startups vs Incumbents in the AI Race00:35:13 FOMO, Overfunding, and Market Distortions00:38:13 CFO Playbooks Without Hypergrowth00:39:38 Finding PMF as a CFO00:41:15 Career Advice: Growth vs Shiny Objects00:42:00 Building the CEO–CFO Relationship00:42:49 Learning Beyond the Back Office00:43:22 Lightning Round00:44:28 Advice to My Younger Self00:45:09 Finance Tech Stack00:46:36 Credits

Welcome back to Impact Theory with Tom Bilyeu! In today's episode, we dive deep into the powerful and provocative conversation between Tom Bilyeu and Amjad Massad, CEO and founder of Replit. Picking up in part two of their discussion, the two explore the societal—and even existential—impacts of technology, with a special focus on AI. The conversation ranges from reflections on Ted Kaczynski's (the Unabomber's) warnings about technology's effects on our sense of purpose and meaning, to the potential for AI to both empower individuals and centralize control in the hands of the elite. You'll hear Tom Bilyeu and Amjad Massad tackle tough questions: Does technology inevitably make us less happy? Can society self-correct when things go wrong, or are we at the mercy of powerful systems? They discuss everything from government regulation and the rise of social antibodies—like shifts in attitudes around smoking and junk food—to the risks of social unrest, information overload, and the war between centralization and decentralization in the digital age. Whether you're passionate about the promise of AI, worried about its pitfalls, or just fascinated by the big-picture consequences of our technological evolution, this episode will challenge your thinking and give you new insights. Get ready for a nuanced, no-holds-barred discussion that blends philosophy, politics, entrepreneurship, and personal growth. Enjoy the episode! Shopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impactKetone IQ: Visit https://ketone.com/IMPACT for 30% OFF your subscription orderHuel: High-Protein Starter Kit 20% off for new customers at https://huel.com/impact code impactCape: 33% off your first 6 months with code IMPACT at https://cape.co/impactPique: 20% off at https://piquelife.com/impactPlaud: Get 10% off with code TOM10 at https://plaud.ai/tomQuince: Free shipping and 365-day returns at https://quince.com/impactpod What's up, everybody? It's Tom Bilyeu here: If you want my help... STARTING a business: join me here at ZERO TO FOUNDER:  https://tombilyeu.com/zero-to-founder?utm_campaign=Podcast%20Offer&utm_source=podca[%E2%80%A6]d%20end%20of%20show&utm_content=podcast%20ad%20end%20of%20show SCALING a business: see if you qualify here.:  https://tombilyeu.com/call Get my battle-tested strategies and insights delivered weekly to your inbox: sign up here.: https://tombilyeu.com/ ********************************************************************** If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. ********************************************************************** FOLLOW TOM: Instagram: https://www.instagram.com/tombilyeu/ Tik Tok: https://www.tiktok.com/@tombilyeu?lang=en Twitter: https://twitter.com/tombilyeu YouTube: https://www.youtube.com/@TomBilyeu Follow Amjad Massad:X (Twitter): https://twitter.com/amssadBlog: https://amasad.meReplit: https://replit.com Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of Impact Theory, host Tom Bilyeu sits down with Amjad Massad, founder and CEO of Replit, for a fascinating and timely conversation about the rapidly evolving world of artificial intelligence. Together, they cut through the hype and fear-mongering surrounding AI, exploring who's driving the panic and why, and how a wave of techno-optimism is starting to push back against the doomsday narrative. Amjad Massad shares an insider's perspective on how AI is transforming industries—from empowering non-coders to unleashing a new generation of "business generalists" and "vibe coders" who can automate and build without traditional training. The duo dives deep into the economic and philosophical implications of automation, job displacement, universal basic income, and the ever-changing definition of meaningful work. Get ready for a candid, thought-provoking discussion that not only untangles the technical realities of AI but also asks tough questions about the future of work, human purpose, and what it truly means to thrive in a world where machines increasingly handle the mundane. Whether you're an optimist, a skeptic, or just trying to keep up, this episode offers actionable insights on how to adapt and flourish in the age of AI. Shopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impactKetone IQ: Visit https://ketone.com/IMPACT for 30% OFF your subscription orderHuel: High-Protein Starter Kit 20% off for new customers at https://huel.com/impact code impactCape: 33% off your first 6 months with code IMPACT at https://cape.co/impactPique: 20% off at https://piquelife.com/impactPlaud: Get 10% off with code TOM10 at https://plaud.ai/tomQuince: Free shipping and 365-day returns at https://quince.com/impactpod What's up, everybody? It's Tom Bilyeu here: If you want my help... STARTING a business: join me here at ZERO TO FOUNDER:  https://tombilyeu.com/zero-to-founder?utm_campaign=Podcast%20Offer&utm_source=podca[%E2%80%A6]d%20end%20of%20show&utm_content=podcast%20ad%20end%20of%20show SCALING a business: see if you qualify here.:  https://tombilyeu.com/call Get my battle-tested strategies and insights delivered weekly to your inbox: sign up here.: https://tombilyeu.com/ ********************************************************************** If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. ********************************************************************** FOLLOW TOM: Instagram: https://www.instagram.com/tombilyeu/ Tik Tok: https://www.tiktok.com/@tombilyeu?lang=en Twitter: https://twitter.com/tombilyeu YouTube: https://www.youtube.com/@TomBilyeu Follow Amjad Massad:X (Twitter): https://twitter.com/amssadBlog: https://amasad.meReplit: https://replit.com Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Run the Numbers, CJ sits down with Brett Queener, Managing Director at Bonfire Ventures, to trace the origins of ARR and examine how new revenue models are reshaping B2B software. Drawing on Brett's time at Salesforce and SmartRecruiters, they explore the shift from annual contracts to outcome-based pricing, what it means for forecasting and gtm strategy, and where the next major inflection points in SaaS are likely to emerge.—SPONSORS:RightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS: Brett on LinkedIn: https://www.linkedin.com/in/brettqueener/Brett's Substack: https://queener.substack.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.comThe Staffing Ratios Salesforce Used, with Brett Queener of Bonfire VChttps://youtu.be/lJVgstAXjJs—TIMESTAMPS:00:02:54 Welcome Brett & episode setup00:03:51 On-prem software to SaaS00:05:54 Salesforce & recurring revenue00:07:15 On-prem costs & partner bloat00:09:58 Contracts, control & comp shifts00:14:15 Lock-in, renewals & SaaS drift00:16:20 Sponsors — RightRev | Rillet | Tabs00:19:48 From buying to hiring software00:21:59 Agents change pricing & planning00:25:59 Forecasting without ARR00:28:03 Talent models break00:29:45 Sponsors — Abacum | Brex | Metronome00:33:01 Rethinking sales & comp00:36:47 Selling by doing the job00:40:50 The future role of sales00:46:10 Zombie SaaS & category collapse00:51:07 Context as the moat00:56:07 Where AI hits next00:58:44 Vertical AI & hidden TAMs01:02:12 $1B startups vs mega rounds01:05:48 Dilution, fund math & pressure01:08:03 Choosing your founder path

In this special CFO Explains episode of Run the Numbers, CJ Gustafson sits down with executive producer Ben Hillman to unpack the real history of EBITDA. From John Malone and cable TV to private equity, SaaS, and today's AI boom, CJ explains how a metric invented out of desperation became the default language of valuation—and how adjusted EBITDA can both clarify and distort the truth about a business.—SPONSORS:Metronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metrics—LINKS: CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.comSlacker Stuff: https://www.slackerstuff.com/Ben on LinkedIn: https://www.linkedin.com/in/slackerstuff/—RELATED EPISODES:How Much Revenue Do You Need to IPO in 2025?https://youtu.be/7ajWVCNVDmI—TIMESTAMPS:00:00:00 Intro00:01:17 The Origins of EBITDA00:06:48 Sponsors — Metronome | RightRev | Rillet00:10:12 The Mechanics of EBITDA00:13:46 Impact on Other Industries00:15:38 The Many Faces of EBITDA00:19:09 Sponsors  — Tabs | Abacum | Brex00:22:30 EBITDA's AI Encore00:24:56 Wrap Up00:28:19 Credits#RunTheNumbersPodcast #CFOExplains #EBITDA #FinancePodcast #BusinessMetrics

Dr. Becky Kennedy is a clinical psychologist, the bestselling author of Good Inside, and the founder of a parenting platform used by millions. Known for her practical, psychology-based approach to parenting, Dr. Becky shares how the same principles that help parents raise resilient children can make you a much more effective leader. In this conversation, she breaks down why all human systems—whether families or companies—operate on the same fundamental principles, and how understanding these dynamics can make you more effective in every relationship.We discuss:1. Why repair—not perfection—defines strong leadership2. Why you need to connect before you correct to build cooperation and trust3. The “most generous interpretation” framework for handling difficult behaviors4. How to correctly set boundaries (vs. making requests)5. The power of “I believe you, and I believe in you”6. What it looks like to be a “sturdy” leader—Brought to you by:Merge—Fast, secure integrations for your products and agents: https://merge.dev/lennyMetaview—The AI platform for recruiting: https://metaview.ai/lennyFramer—Builder better websites faster: https://framer.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/dr-becky-on-the-surprising-overlap—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Dr. Becky Kennedy:• X: https://x.com/GoodInside• LinkedIn: https://www.linkedin.com/in/drbecky• Instagram: https://www.instagram.com/drbeckyatgoodinside• TikTok: https://www.tiktok.com/@drbeckyatgoodinside• Website: https://www.goodinside.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Dr. Becky Kennedy(05:14) Connecting parenting and leadership(08:40) The power of repair(11:05) Connecting before correcting(17:45) Good Inside framework at work(22:08) The most generous interpretation (MGI)(25:46) Curiosity over judgment(27:07) Understanding behavior change(31:08) What potty training can teach us about workplace behavior(34:40) Naming your intention(35:41) Sturdy leadership(40:52) How to set boundaries well(46:33) The role of leadership and consensus(50:50) The importance of being “locatable”(52:40) A powerful story of betrayal and realization(57:12) Building resilience over happiness(01:00:34) The power of the phrase “I believe you, and I believe in you.”(01:09:08) The Good Inside community and resources(01:16:22) AI corner(01:19:52) Good Inside's mission(01:22:26) Lightning round and final thoughts—Referenced:• Shreyas Doshi on pre-mortems, the LNO framework, the three levels of product work, why most execution problems are strategy problems, and ROI vs. opportunity cost thinking: https://www.lennysnewsletter.com/p/episode-3-shreyas-doshi• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• From ChatGPT to Instagram to Uber: The quiet architect behind the world's most popular products | Peter Deng: https://www.lennysnewsletter.com/p/the-quiet-architect-peter-deng• Punch: https://en.wikipedia.org/wiki/Punch_(play)• Figma: https://www.figma.com• Andrew Hogan on LinkedIn: https://www.linkedin.com/in/ahhogan• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Claude: https://claude.ai• ChatGPT: https://chatgpt.com• Secrets We Keep on Netflix: https://www.netflix.com/title/81697668• K Pop Demon Hunters on Netflix: https://www.netflix.com/title/81498621• Liberty puzzles: https://libertypuzzles.com—Recommended books:• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Revised-Kick-Ass-Humanity/dp/1250235375• Good Inside: A Practical Guide to Resilient Parenting Prioritizing Connection Over Correction: https://www.amazon.com/Good-Inside-Guide-Becoming-Parent/dp/0063159481• Leave Me Alone!: A Good Inside Story About Deeply Feeling Kids: https://www.amazon.com/Leave-Me-Alone-Inside-Feeling/dp/1250413117• The Power of Moments: Why Certain Experiences Have Extraordinary Impact: https://www.amazon.com/Power-Moments-Certain-Experiences-Extraordinary/dp/1501147765/• The Messy Middle: Finding Your Way Through the Hardest and Most Crucial Part of Any Bold Venture: https://www.amazon.com/Messy-Middle-Finding-Through-Hardest/dp/0735218072• Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration: https://www.amazon.com/Creativity-Inc-Expanded-Overcoming-Inspiration/dp/0593594649—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

On this episode of Possible, Reid Hoffman and Aria Finger sit down with Amjad Masad, founder and CEO of Replit, to explore how AI is fundamentally changing who gets to build software and what that means for work, creativity, and human agency. Masad traces his journey from growing up in Jordan teaching himself to code and connects it to his love of video games which helped inspire him to build a platform that turns natural language into working software. The conversation spans everything from why gaming mindsets make better builders, to how CEOs are rediscovering hands-on creation, to why “vibe coding” is the next form of literacy and why computational thinking is more important than syntax mastery. The conversation also digs into the future of AI agents, long-running autonomous workflows, and what it means to design environments for machines rather than humans. They also confront harder questions about jobs, fear, regulation, and society's responsibility during a cognitive industrial revolution. The episode ultimately reframes AI not as a replacement for human creativity, but as a force that can return people to a more entrepreneurial, expressive, and meaningful way of life. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/Masters of Scale weekly newsletter: https://mastersofscale.com/newsletter/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Mazen and Robin welcome back Cedric van Putten to discuss Expo Launch, a new tool that automates deploying React Native apps to the App Store. Learn how Expo is streamlining certificates, screenshots, and submission workflows.Show NotesExpo LaunchCedric van Putten's blog post: Introducing Expo LaunchMatt Palmer's blog post: From idea to app with Replit and ExpoExpo's AI StrategyConnect With Us!Cedric van Putten: @cedric_devRobin Heinze: @robinheinzeMazen Chami: @mazenchamiReact Native Radio: @ReactNativeRdioThis episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With over a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

In this episode of Run the Numbers, CJ sits down with Dan Griggs, CFO of Intercom, to break down how finance leaders should think about pricing, forecasting, and resource allocation in the AI era. Dan explains why “it's not zero” is his guiding forecasting principle, how Intercom landed on 99 cents per AI resolution for Fin, and what it means to build an AI product that could eventually cannibalize a successful SaaS core. A candid look at managing uncertainty while still making bold bets.—SPONSORS:Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.ai—LINKS:Dan on LinkedIn: https://www.linkedin.com/in/dan-griggs-0970181/Intercom: https://www.intercom.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Inside Rocket Companies: M&A, Metrics, and Mortgage Moats | Brian Brownhttps://youtu.be/ttedn4AULt8—TIMESTAMPS:00:00:00 Cold Open00:01:03 Intro to Dan Griggs and Intercom's AI Pivot00:02:45 From Ice Cream to SaaS: Early Finance Lessons00:04:19 Learning the Business by Living the Operations00:06:26 Why Operational Reality Shapes Better Forecasts00:08:00 “It's Not Zero”: Forecasting the Unknowable00:10:09 Scenario Planning, Ambiguity, and Psychological Safety00:11:23 Sponsors — Brex | Metronome | RightRev00:14:43 Keeping a Mental Model of Key Business Metrics00:16:15 Using Mental Math to Sanity-Check Forecasts00:17:28 Core Ratios Every CFO Uses to Vet Decisions00:19:13 The Burn-the-Boats Moment for Intercom's AI Pivot00:20:53 Why AI Was an Existential, Not Incremental, Bet00:22:21 Which SaaS Categories AI Can Fully Replace Work00:23:04 Why Finance Hasn't Had Its AI Moment Yet00:23:39 Sponsors — Rillet | Tabs | Abacum00:27:05 Why Fin Needed Outcome-Based Pricing00:28:59 The Tradeoff Behind $0.99 Per Resolution00:30:46 Why Support Conversations Vary in Complexity00:32:01 What Drives the Unit Economics of AI Resolutions00:33:08 How Intercom Chooses Models as Costs Fall00:35:19 Replacing Generic LLMs With Domain-Specific Models00:36:08 Selling an AI Product That Could Cannibalize the Core00:38:50 Founder CEOs Versus Professional CEOs00:41:47 Hiring Mistakes and Acting on Instincts00:44:28 Intercom's Finance Software Stack00:45:49 The Craziest Expense Request#RunTheNumbersPodcast #Intercom #AICustomerSupport #OutcomeBasedPricing #CFOInsights This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

AGENDA: 03:30 Can VC Survive With Public Market Prices Today 15:20 The Implosion of Thinking Machines 21:13 Elon Musk vs. OpenAI: The Legal Battle 40:50 Can OpenAI Win Ads? 55:50 ClickHouse's $15BN Deal: Analysed 58:55 Replit's $9BN Deal: Analysed 01:08:35 There Are Only Two Types of Deals VCs Want To Do Today      

Dan Nathan and Deirdre Bosa discuss recent advancements in AI-driven coding tools like Replit and Claude Cowork, sharing personal experiences and their potential to disrupt traditional software development. They elaborate on conversations with Amjad Masad of Replit and Aaron Levie of Box about the future of AI in software. The discussion also touches on the US-China AI rivalry, with CEOs from major tech companies urging policy support to compete with China's subsidized AI ecosystem. The conversation highlights concerns over software disruption, the impact of AI on the software market, and geopolitical implications for AI innovation. After the break, Dan chats with Gene Munster, Managing Partner at Deepwater Asset Management, discuss the current state and future trends in AI-related investments as of 2026. Gene shares his perspectives on the AI market's evolution over recent years, particularly focusing on key players like Nvidia and the dynamics around training versus inference. They talk about the impact of recent developments in coding assistants like Claude from Anthropic and its implications for the technology sector. The conversation also covers the valuation and growth prospects of major tech firms including Google, Apple, Microsoft, Amazon, and Meta, highlighting their individual strategies and market performance. The dialogue underscores a cautious optimism in the AI sector, with a focus on how technological advancements and market sentiment will influence investment decisions. Links Watch Dee's Convo with Replit's CEO: https://www.youtube.com/watch?v=GOa3SfkQ0vE Watch Dee's Convo with the CEO of Box: https://www.cnbc.com/video/2024/11/12/box-ceo-trumps-deregulation-could-spark-a-tech-supercycle.html —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Zevi Arnovitz is a product manager at Meta with no technical background who has figured out how to build and ship real products using AI. His engineering team at Meta asks him to teach them how he does what he does. In this episode, Zevi breaks down his complete AI workflow that allows non-technical people to build sophisticated products with Cursor.We discuss:1. The complete AI workflow that lets non-technical people build real products in Cursor2. How to use multiple AI models for different tasks (Claude for planning, Gemini for UI)3. Using slash commands to automate prompts4. Zevi's “peer review” technique, which uses different AI models to review each other's code5. Why this might be the best time to be a junior in tech, despite the challenging job market6. How Zevi used AI to prepare for his Meta PM interviews—Brought to you by:10Web—Vibe coding platform as an APIDX—The developer intelligence platform designed by leading researchersFramer—Build better websites faster—Episode transcript: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Zevi Arnovitz• X: https://x.com/ArnovitzZevi• LinkedIn: https://www.linkedin.com/in/zev-arnovitz• Website: https://zeviarnovitz.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Zevi Arnovitz(04:48) Zevi's background and journey into AI(07:41) Overview of Zevi's AI workflow(14:41) Screenshare: Exploring Zevi's workflow in detail(17:18) Building a feature live: StudyMate app(30:52) Executing the plan with Cursor(38:32) Using multiple AI models for code review(40:40) Personifying AI models(43:37) Peer review process(45:40) The importance of postmortems(51:05) Integrating AI in large companies(53:42) How AI has impacted the PM role(57:02) How to improve AI outputs(58:15) AI-assisted job interviews(01:02:57) Failure corner(01:06:20) Lightning round and final thoughts—Referenced:• Becoming a super IC: Lessons from 12 years as a PM individual contributor | Tal Raviv (Product Lead at Riverside): https://www.lennysnewsletter.com/p/the-super-ic-pm-tal-raviv• Wix: https://www.wix.com• Building AI Apps: From Idea to Viral in 30 Days: https://www.youtube.com/watch?v=j2w4y7pDi8w• Riley Brown on YouTube: https://www.youtube.com/channel/UCMcoud_ZW7cfxeIugBflSBw• Greg Isenberg on YouTube: https://www.youtube.com/@GregIsenberg• Bolt: https://bolt.new• 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• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• StudyMate: https://studymate.live• Dibur2text: https://dibur2text.app• Claude: https://claude.ai• Everyone should be using Claude Code more: https://www.lennysnewsletter.com/p/everyone-should-be-using-claude-code• Bun: https://bun.com• Zustand: https://zustand.docs.pmnd.rs/getting-started/introduction• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Wispr Flow: https://wisprflow.ai• Linear: https://linear.app• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Cursor Composer: https://cursor.com/blog/composer• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Base44: https://base44.com• Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo• v0: https://v0.app• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Cursor Browser mode: https://cursor.com/docs/agent/browser• Google Antigravity: https://antigravity.google• Grok: https://grok.com• Zapier: https://zapier.com• Airtable: https://www.airtable.com• Build Your Personal PM Productivity System & AI Copilot: https://maven.com/tal-raviv/product-manager-productivity-system• The definitive guide to mastering analytical thinking interviews: https://www.lennysnewsletter.com/p/the-definitive-guide-to-mastering-f81• AI tools are overdelivering: results from our large-scale AI productivity survey: https://www.lennysnewsletter.com/p/ai-tools-are-overdelivering-results-c08• Yaara Asaf on LinkedIn: https://www.linkedin.com/in/yaarasaf• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Severance on AppleTV+: https://tv.apple.com/us/show/severance/umc.cmc.1srk2goyh2q2zdxcx605w8vtx• Loom: https://www.loom.com• Cap: https://cap.so• Supercut: https://supercut.ai...References continued at: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Recommended books:• The Fountainhead: https://www.amazon.com/Fountainhead-Ayn-Rand/dp/0451191153• Shoe Dog: A Memoir by the Creator of Nike: https://www.amazon.com/Shoe-Dog-Memoir-Creator-Nike/dp/1501135910• Mindset: The New Psychology of Success: https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Today on the AI Daily Brief, why AI leadership is shifting decisively to the CEO—and why that shift is happening now as AI moves from experimentation to core enterprise strategy. Drawing on new survey data, the episode explores what happens when AI becomes recession-proof, ROI timelines pull forward, and agentic systems start reshaping organizations at scale. Before that, in the headlines: Replit pushes vibe coding all the way to mobile app stores, Higgsfield rockets to unicorn status on explosive growth, Thinking Machines Labs faces a wave of high-profile departures, and DeepMind's Demis Hassabis warns that Chinese AI models are now only months behind the frontier. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The 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/1680633614⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

The 5 things you need to know before the stock market opens today: shale producers Devon Energy and Coterra Energy are reportedly considering a merger, Mitsubishi will acquire shale gas assets in Louisiana and Texas, shares of J.B. Hunt fell on earnings, AI vibe-coding startup Replit is nearing a new funding round, and Lucasfilm's Kathleen Kennedy is stepping down after over a decade running the Star Wars universe.  Squawk Box is hosted by Joe Kernen, Becky Quick and Andrew Ross Sorkin.  Follow Squawk Pod for the best moments, interviews and analysis from our TV show in an audio-first format. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

- Escalation of Left-Wing Mobs and Fraud in Minnesota (0:11) - Trump's Strategy and the Insurrection Act (2:29) - Support for Israel and Anti-Islam Messaging (5:40) - Fraud in Government Grants and Money Laundering (12:31) - Criminal Prosecution and Mass Arrests (21:59) - Depopulation Agenda and Civil War (26:12) - Breakthrough Battery Technology and Conspiracy Theories (45:37) - Brighteon's New Name and AI Tools (1:04:23) - Silver Market and Economic Predictions (1:20:12) - Radical Abundance and Scarcity in 2026 (1:26:09) - Reinventing Yourself in the Automation Era (1:29:06) - Exploring Replit for Entrepreneurial Opportunities (1:30:43) - Monetizing Knowledge with Replit (1:34:59) - The Role of AI in Creating a Better Future (1:50:06) - The Era of Bullshit and the Age of Truth (1:50:25) - The Impact of AI on Decentralization and Knowledge Access (2:06:23) - The Role of Public Trust in AI and Decentralization (2:07:19) - The Future of AI and Decentralization (2:07:39) - The Importance of Public Trust in AI (2:09:24) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com