Podcasts about Saas

My guest today is ⁠Gokul Rajaram⁠, Founding Partner at Marathon Management. Gokul is one of the most prolific product builders and investors of the last twenty years. He has built the core ad and product businesses at Google, Facebook, Square, and DoorDash, working at each company during its most formative scaling periods. Alongside his operating career, Gokul has invested in more than 700 companies, giving him an unusually broad view into how products are built and scaled. This conversation is about how product building is changing with AI. We discuss the one thing Gokul believes is truly future-proof in AI, why companies like Zendesk and Slack are more exposed than Salesforce or NetSuite, and the only sources of defensibility.  We also talk about everything Gokul has learned from helping build the most important ads businesses, including the only three ways an ad business can make money, how those constraints shape product decisions, and what consumer behavior change threatens every major platform. Gokul shares lessons from working closely with Larry and Sergey, Mark Zuckerberg, Jack Dorsey, and Tony Xu. Please enjoy my conversation with Gokul Rajaram. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.  ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠Vanta⁠. Trusted by thousands of businesses, Vanta continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Visit ⁠vanta.com/invest⁠.  ----- This episode is brought to you by ⁠Rogo⁠. Rogo is an AI-powered platform that automates accounts payable workflows, enabling finance teams to process invoices faster and with greater accuracy. Learn more at ⁠Rogo.ai/invest⁠. ----- This episode is brought to you by⁠ ⁠WorkOS⁠⁠. WorkOS is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit⁠ ⁠WorkOS.com⁠⁠ to transform your application into an enterprise-ready solution in minutes, not months. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps (00:00:00) Welcome to Invest Like The Best (00:00:53) Meet Gokul Rajaram (00:02:05) How Product Development is Changing with AI (00:07:32) Philosophy of Product Management (00:10:19) What is Future-Proof in AI Era (00:11:25) Building AI Applications Today (00:15:03) Systems of Record vs Agent Companies (00:16:58) Which Legacy Software Companies Are Most Exposed (00:22:15) Stickiness in the AI Era (00:24:10) Learning from Larry Page and Sergey Brin (00:28:15) Learning from Mark Zuckerberg (00:31:31) Learning from Jack Dorsey (00:35:40) The Art of Great Product Design (00:36:49) Weekly CEO Communication (00:40:27) Three Ways to Succeed in Advertising (00:44:27) What Should Scare Major Ad Platforms (00:48:24) North Star Metrics (00:50:09) Self-Serve Products (00:54:50) Careers in the AI Era (00:59:03) Stay Long Enough to Have Impact (01:00:10) Founder Authenticity and Superpowers (01:02:21) Navigating the Idea Maze (01:03:42) Role of Boards (01:06:31) Excellence in Customer Acquisition  (01:09:11) The Kindest Thing 

AGENDA: 03:36 Brex Acquisition by Capital One for $5.15BN 10:54 Does Brex's Acquisition Help or Hurt Ramp? 16:28 TikTok Deal Completed: Who Won & Who Lost: Analysis 19:30 Anthropic Inference Costs Higher Than Expected 37:50 Open Evidence Raises at $12BN from Thrive and DST 53:56 Wealthront IPO Disaster: Is $1.5BN IPO Too Small? 01:07:27 Salesforce Wins $5BN Army Contract: The Last Laugh for SaaS  

Apoorv Sharma is an AI SEO strategist, co-founder of Derivate X, and a leader in AI-first marketing for SaaS and tech companies. Based in Bangalore, India, Apoorv helps brands navigate the rapid shift from traditional search engines to LLMs and AI platforms like ChatGPT and Gemini. By optimizing content for AI visibility instead of just Google rankings, he empowers organizations to appear where modern buyers make decisions. Known for his hands-on, research-driven process, Apoorv guides clients through the evolving world of AI search and digital discovery, helping them future-proof their presence, drive revenue, and adapt to the pace of technological change. https://youtu.be/Oh_O7PFdz9Y In this episode of Marketer of the Day, Apoorv joins Robert Plank to reveal the new playbook for AI SEO. He explains how business owners can adapt to shifting search patterns, why top-of-funnel content is fading, and the steps needed to win in AI-driven rankings. Discover the real challenges behind AI SEO: from accidental brand confusion and overcoming search system quirks to navigating a price-sensitive market and justifying the investment. Apoorv shares actionable strategies for targeting long-tail queries, associating SEO efforts with revenue, and continuously adjusting content and positioning to stay ahead as AI reshapes how buyers find and trust solutions online. Quotes: “Search behavior is shifting so fast, even people who don't know English are using ChatGPT more than Google.” “SEO without clarity is just wasted money.” “The top of the funnel is almost dead. Focus on the middle and bottom; those are your lowest-hanging fruits.” “AI SEO isn't just about rankings; it's about training the librarian so your content gets recommended to the right buyers.” Resources: Derivate X (official site) Apoorv Sharma on LinkedIn

In this mini-panel, Jack, Paige, Paul, and Noel discuss how AI reshaping developer tooling is impacting open source monetization, including the recent Tailwind layoffs and the collapse of Tailwind documentation traffic caused by AI. The conversation expands into broader developer tooling business models and reacts to claims like Ryan Dahl stating that the era of humans writing code is over. They also cover the Astro Cloudflare acquisition, what it means for the Cloudflare developer platform, and how this shapes the frontend frameworks future. Hot takes include light mode vs dark mode SaaS, shifting developer aesthetics, and why AI productivity for developers may now come down to workflow design rather than raw coding skill. Resources Tailwind Layoffs and AI Tailwind layoffs: https://www.businessinsider.com/tailwind-engineer-layoffs-ai-github-2026-1#:~:text=Tailwind%20laid%20off%2075%25%20of,on%20our%20engineering%20team%20lost Tailwind layoffs: https://github.com/tailwindlabs/tailwindcss.com/pull/2388#issuecomment-3717222957 Ryan Dahl Tweet: https://x.com/rough__sea/status/2013280952370573666 Apple and Google joint statement: https://x.com/NewsFromGoogle/status/2010760810751017017 Astro joins Cloudflare Astro joins Cloudflare: https://blog.cloudflare.com/astro-joins-cloudflare We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. ChaptersSpecial Guest: Jack Herrington.

Carlos Diaz, c'est l'histoire d'un entrepreneur français qui a compris très tôt que le jeu n'était pas le même selon le terrain. Tout commence à Limoges en 1997, quand il crée avec son frère Manuel une agence digitale totalement improbable, à une époque où Internet n'était encore qu'un bricolage pour initiés. Ils travaillent depuis la province, mais leurs clients sont déjà à Paris et l'un des plus importants leur confie même toute sa stratégie digitale, en France comme à l'international. Très vite, Carlos plonge dans la première vague tech : le web dynamique, le SaaS, le cloud et même un réseau social d'entreprise avant que Slack n'existe ! Mais en France, personne ne comprend. Les usages sont figés, l'ambition dérange, la prise de risque fait peur. Alors en 2010, Carlos traverse l'Atlantique pour les États-Unis avec femme et enfant. Ce qui devait être une parenthèse de 2 ans devient une immersion totale. Quinze ans plus tard, il vit toujours là-bas. Pendant toutes ces années, Carlos a décortiqué l'Amérique de l'intérieur : sa culture du dépassement, son obsession du business, son rapport décomplexé à l'argent. Cette mentalité du « All-in » permanent où tout peut exploser ou s'effondrer. Entrepreneur, il devient aussi VC, investit dans 57 startups et observe de près ceux qui tiennent le choc et ceux qui repartent, brisés par le choc culturel. Il voit les États-Unis aspirer les talents, les ambitions, les financements. Et il comprend que la réussite ici n'est pas qu'une question d'idée, mais de système, d'énergie, de brutalité aussi. Aujourd'hui, avec son podcast Silicon Carne, il construit un média devenu un vrai business, suivi par une audience ultra qualifiée de décideurs français. Un échange fascinant, brut, lucide avec un entrepreneur passionnant et passionné. Bonne écoute !===========================

Wes and Scott talk about building hyper-specific personal software with AI. They explore personal agents, home automation, JSON-as-a-database, and how LLMs unlock fast, custom apps that reduce friction and replace bloated SaaS. Show Notes 00:00 Welcome to Syntax! 01:53 What is personal software (and why it matters) 04:49 Using AI agents to build hyper-specific apps for yourself Clawdbot ClawdHub 13:43 Supercharging your dev workflow with Tailscale 19:06 Privacy when working with LLMs MLX-Audio 21:39 Brought to you by Sentry.io 22:21 Real-world personal app ideas 39:14 Sick Picks + Shameless Plugs Sick Picks Scott: FTPManager Wes: Roku Streaming Stick Shameless Plugs Syntax YouTube Channel Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

In this episode, we sit down with Adam Zimman, author and VC advisor, to explore the world of progressive delivery and why shipping software is only the beginning. Adam shares his fascinating journey through tech—from his early days as a fire juggler to leadership roles at EMC, VMware, GitHub, and LaunchDarkly – and how those... Read more »

SaaStr 839: Why Most SaaS Companies Will Fail at AI (And How to Avoid It) with Intercom's CPO The Brutal Truth About Transforming a SaaS Company into an AI Company Intercom's Chief Product Officer, Paul Adams, shares the unfiltered story of how they transformed from a struggling SaaS company with 5 quarters of declining growth into an AI-first company with a breakthrough product (Fin) that now handles 1M+ customer resolutions per week. What You'll Learn: Why AI transformation requires "refounding" your entire company - not just adding AI features The self-harming decisions you must make to win (including parting ways with ~33% of your team) How to go from 0 to 6,000+ AI customers with 65% average resolution rate Why demos ≠ products and the "marketing overhang" problem The complete shift in how you build software (empirical evaluation vs. traditional product development) Why designers now ship code to production at Intercom How the buyer has changed (hint: it's no longer just the department head) --------------------- This episode is Sponsored in part by HappyFox: Imagine having AI agents for every support task — one that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as 2 cents per successful action. All of it sits inside the HappyFox omnichannel, AI-first support stack — Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr   ---------------------   Hey everybody, the biggest B2B + AI event of the year will be back - SaaStr AI in the SF Bay Area, aka the SaaStr Annual, will be back in May 2026.    With 68% VP-level and above, 36% CEOs and founders and a growing 25% AI-first professional, this is the very best of the best S-tier attendees and decision makers that come to SaaStr each year.     But here's the reality, folks: the longer you wait, the higher ticket prices can get. Early bird tickets are available now, but once they're gone, you'll pay hundreds more so don't wait.    Lock in your spot today by going to podcast.saastrannual.com to get my exclusive discount SaaStr AI SF 2026. We'll see you there.

In this episode, Lily Smith and Randy Silver host Anu Jagga‑Narang, a product evangelist at AT&T, to explore premortems — a powerful technique for anticipating product failure before launch. Anu explains how premortems use prospective hindsight to uncover risks early, surface assumptions teams are reluctant to voice, and improve decision quality. The conversation covers practical steps for running premortems, risk classification using tigers, paper tigers and elephants, common pitfalls, and when to revisit the exercise as products evolve. They also examine how emerging AI capabilities influence product risk management — increasing the need for thoughtful planning rather than replacing human insight. This discussion offers product leaders a framework to strengthen strategic thinking, foster psychological safety and equip teams to build with confidence and clarity.Chapters 00:00 Introduction to Premortems01:39 Guest Introduction — Anu Jagga‑Narang02:14 Career Journey into Product05:03 What Is a Premortem?07:04 Framing Failure and Success in Premortems11:02 How to Conduct a Premortem15:04 Voting and Risk Classification17:00 Tigers, Paper Tigers, and Elephants20:22 Assigning Ownership and Actions21:28 When to Run a Premortem23:40 Who Should Participate and Duration25:14 Examples and Surprising Insights28:43 Common Mistakes and Anti‑patterns31:51 AI's Impact on Premortems34:13 Closing Remarks and CreditsOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Today on the Invest In Her Podcast, host Catherine Gray interviews Nomiki Petrolla, a product leader and tech founder on a mission to close the access gap for women in technology and entrepreneurship. With more than 15 years of experience leading product, design, and strategy across healthcare, fintech, artificial intelligence, and enterprise SaaS, Nomiki has built and scaled products in some of the most male-dominated sectors of tech. She is the founder of PDS Lab, an accelerator launched to help women build and launch tech companies from the ground up, and the creator of Theanna, a data-networking platform designed to bring transparency, insight, and connection to the female founder journey. Based in Ohio and a mother of four, Nomiki is also an active mentor, educator, and speaker, working with organizations such as Techstars and speaking at institutions including Harvard. In this conversation, Catherine and Nomiki explore the structural barriers women face in tech entrepreneurship and why access to product knowledge, data, and networks remains one of the biggest challenges for women founders. Nomiki shares what she observed firsthand while advising startups—how women are often excluded from critical early-stage information—and how that insight led to building platforms that democratize knowledge and connection. The discussion also dives into the importance of community, the role of data in leveling the playing field, and what investors, accelerators, and ecosystems must do differently to support women-led innovation at scale. This episode is a powerful look at how intentional infrastructure and transparency can transform outcomes for women founders—and the future of tech as a whole. Websites mentioned: https://theanna.ai https://www.showherthemoneymovie.com www.sheangelinvestors.com    Follow Us On Social Facebook @sheangelinvestors Twitter (X) @sheangelsinvest Instagram @sheangelinvestors & @catherinegray_investinher LinkedIn @catherinelgray & @sheangels   #InvestInHer #FinancialWellness #WomenInFinance #FinancialEmpowerment #MoneyMindset #InclusiveFinance #FintechForGood #BehavioralEconomics #WealthBuilding #FinancialHealth #EmpowerWomen #MoneyMatters #SheAngelInvestors #InvestInYourself #FinancialFreedom  

A story about users competitors can't stealThis episode is for SaaS founders wondering why their users like the product but don't love it.Second movers usually copy the leader's playbook.Pete Hunt, CEO of Dagster Labs, took a different path. He joined as Head of Engineering in 2022, became CEO ten months later, and inherited a company that was #3 or #4 in a crowded category. Today they're #2 overall—and #1 for greenfield deployments.The difference? Pete built a product with values so clear that choosing it feels like choosing sides.And this inspired me to invite Pete to my podcast. We explore what happens when users choose you for reasons competitors can't copy. Pete shares why being #2 means you have to be 10x more aggressive, why relabeling a version number created an inflection point without changing code, and what broke when his sales forecasts started slipping.You'll discover why the real challenge wasn't preserving his culture—it was changing it.We also zoom in on two of the 10 traits that define remarkable software companies: – Acknowledge you cannot please everyone – Master the art of curiosityPete's journey proves that remarkable companies don't just build tools—they build tribes.Here's one of Pete's quotes that captures his contrarian belief about technical buyers:"These technical folks connect with the values of the product in an emotional way. It's a very powerful thing. People would choose JavaScript frameworks based on their values—something that becomes their identity. People say brand marketing doesn't work on developers. I just think it's completely wrong.By listening to this episode, you'll learn:Why healthy pipeline numbers lieWhy crossing the chasm meant changing culture, not preserving itWhat a version number change did that new features couldn'tWhy sales teams hold onto deals they should killFor more information about the guest from this week: Guest: Pete Hunt, CEO of Dagster LabsWebsite: dagster.io

Adam Epstein, CEO of Gigi, joins Eric Franchi and Joe Zappa to discuss what it really means to build and sell a verticalized AI agent for advertising. Adam breaks down why Gigi focused on Amazon DSP, how selling agents differs from selling SaaS, why agents should be framed as jobs, how to price and pilot AI, and what it takes to prove value and onboard customers for agentic software.

For decades, the biggest barrier to building a SaaS company was technical talent. You needed a team of engineers to ship a world-class product. David Okuniev, Co-Founder of Typeform, believes that era is over. In this episode of the ProductLed 100 series, Wes Bush sits down with David Okuniev (Founder of Float) and Esben Friis-Jensen (Co-Founder of Userflow) to discuss why "Taste" is the only defensible moat left in the age of AI. David reveals how he is building his new venture, Supercut, by literally talking to Claude Code through a microphone - building full iOS apps in days without knowing Swift. He argues that since AI has commoditized the "How" of building software, the "What" and "Why" (Design and Taste) matter more than ever. They also explore why this shift allows for a "Minimum Viable Team" of just three people, why David regrets scaling Typeform into a large organization, and how to survive as a "Pioneer" founder without getting bogged down by professional management. Key Highlights: 01:21: The "Accidental" Origin: How a client project for a toilet showroom in Barcelona turned into Typeform.03:51: The Viral Launch: Generating 8,000 pre-signups and achieving immediate viral growth without traditional validation.09:53: The Taste Differentiator: Why design is the only way to distinguish yourself 13:00: The "Impulsive" Archetype: David's approach to building products based on intuition rather than validation.21:41: The "Professional CEO" Trap: Why David regrets stepping down and why founders should stay in the driver's seat.37:42: The Float Labs Model: How David runs a product lab to spin out new companies (like Supercut).42:09: The Minimum Viable Team: Why the modern startup only needs a Designer, a Tech Lead, and a Marketer.44:53: The "Tastemaker" Advice: You don't need to be a designer; you just need to be opinionated. Resources:

This Week In Startups is made possible by:Quo - http://quo.com/TWiSTLemon IO - https://lemon.io/twistNorthwest Registered Agent - https://www.northwestregisteredagent.com/twistToday's show: Jason is back from Davos and Tokyo! We are jumping right back in with a group of Clawdbot power users: Alex Finn, Matt Von Horn, and Dan Penguine.Clawdbot is a hot open source AI project that lets users automate… everything! Dan helped his automate his aging parent's tea shop, Matt built news sourcing bots, and Alex runs his one-man SAAS startup with Clawdbot as an AI employee!But with all of that power comes the responsibility of making sure you are not giving your AI too many authorizations that could come under fire! Whether fisching emails, “injections”, or bad decision making from incorrect information online.Check out how these 3 experts, Jason and Alex are thinking about the bleeding edge of AI!Timestamps:(00:00) Introducing today's Clawdbot experts!(04:09) How Matt Von Horn makes “Skills” with Clawdbot(10:53) Quo (formerly OpenPhone) gives you a clean, modern way to handle every customer call, text, and thread all in one place. Try it free at http://quo.com/TWiST.(13:25) Dan Penguine's “Normy” use case: automating his parent's tea shop(19:50) Lemon.io - Get 15% off your first 4 weeks of developer time at https://lemon.io/twist(22:23) Alex Finn breaks down how Clawdbot lets him run a one man startup(24:28) Alex Finn on Clawdbot autonomously building apps within his business(28:33) Security concerns with Clawdbot, can your AI get hacked?(32:46) Northwest Registered Agent. Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity —  Learn more at https://www.northwestregisteredagent.com/twist(35:07) Why is everyone buying Mac Minis?(37:39) How to think about LLM Token usage(46:02) Clawdbot will build CRMs, project management software, etc without being asked. Is this the end of SAAS?(46:58) Matt live uploads his new Clawdbot skill on aire!(48:22) Why was Clawdbot able to move so much quicker than Anthropic and OpenAI?(50:17) What is Clawdbot's business model as an open source AI?(53:27) Matt's recursive AI prompt loop and how AI prompts layer*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(10:53) Quo (formerly OpenPhone) gives you a clean, modern way to handle every customer call, text, and thread all in one place. Try it free at http://quo.com/TWiST(19:50) Lemon.io - Get 15% off your first 4 weeks of developer time at https://lemon.io/twist(32:46) Northwest Registered Agent. Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity —  Learn more at www.northwestregisteredagent.com/twistCheck out all our partner offers: https://partners.launch.co/

Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   _ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Listen to MOONSHOTS: Apple YouTube – *Recorded on January 20th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Suneera Madhani is back, and the lessons hit different this time. Suneera breaks down what it really took to scale Stax Payments to a $1.1B exit, why she chose to step away when the next milestone was “obvious,” and how she's approaching her next company, Worth, with clearer boundaries and a bigger vision for impact.We talk founder to CEO identity shifts, why “people, process, profit” scales every business, how women get stuck majoring in minor details, and the focus framework she teaches thousands of founders through CEO School. If you're building in a season where ambition is high but alignment matters more than ever, this episode is your reset.Connect with Suneera Madhani:Instagram: @suneeramadhaniWebsite: https://suneeramadhani.com/ 

Send us a textThis cluster of announcements illustrates how enterprise software vendors are converging on monetizable AI, composable ecosystems, and domain-specific depth rather than headline platform reinvention. Product expansions such as BillingPlatform's RevenueIQ suite, Epicor's outcomes-based ERP AI agent, and BlackLine's Verity for the CFO signal a shift toward AI that is tightly anchored to measurable financial and operational outcomes. At the same time, M&A and alliances—including IFS acquiring 7bridges, Salesforce's planned acquisition of Regrello, QAD partnering with Esker, and Versori partnering with Fluent Commerce—reinforce a strategy of filling execution gaps through targeted capabilities rather than broad-suite sprawl. Underpinning much of this activity, Oracle's deployment of GPT-5 across its database and SaaS portfolio underscores how foundational AI services are becoming embedded infrastructure, while workforce and go-to-market expansions from ActivTrak and Capacity's acquisition of KLaunch highlight continued investment in productivity, adoption, and execution at the edges of the enterprise stack.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds, including the direction and roadmaps of each enterprise software vendor. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=KdCqxl1NXBIQuestions for Panelists?

Mikel Lindsaar is the Founder and CEO of StoreConnect, a customer commerce platform that helps businesses unify e-commerce sales, services, and systems. As a seasoned technology entrepreneur, he founded multiple software companies, including Exec IO and reinteractive, and exited several SaaS ventures.  In this episode… Growth doesn't just stall when the business is underwater; it stalls when everything appears to be working, yet decisions slow, complexity piles up, and momentum fades. Leaders often feel the weight before they can recognize the cause, sensing friction in meetings, handoffs, and execution. What causes companies to break, and how can founders remove barriers before they compound? According to seasoned technology entrepreneur Mikel Lindsaar, the root issue is decision-friction, and he argues that leaders must design organizations to move decisions faster, not upward. He emphasizes replacing "maybe" with clear yes-or-no frameworks, pushing ownership closer to the work, and using simple metrics to reveal problems early. Leaders can also turn repeated questions into written guidance and coach teams to present solutions rather than just problems. These practices create speed, trust, and resilience at scale. In this episode of the Up Arrow Podcast, William Harris chats with Mikel Lindsaar, Founder and CEO of StoreConnect, about designing organizations that scale through clarity and speed. Mikel explains why indecision kills momentum, how policies and metrics empower teams, and what founders must do personally to sustain long-term leadership effectiveness.

What's on your mind? Let CX Passport know...B2B customer experience is often treated like B2C with bigger contracts and longer sales cycles. That shortcut causes real problems. In this episode, Rick talks with Kári Thor Runarsson about why B2B CX needs its own thinking, its own metrics, and far more attention to relationships that quietly drift long before renewal.Kári has spent his career in B2B, including startups and non-tech industries, questioning borrowed frameworks and shallow measurements. The result is a grounded conversation about silence, contracts, commoditization, and why experience is often the only real differentiator left.Key TakeawaysB2B decisions involve multiple stakeholders with competing success metricsSilence is one of the strongest churn signals in B2B relationshipsNet Promoter Score breaks down quickly in complex B2B environmentsCustomer experience becomes decisive as industries commoditizeStartups often overestimate how well they understand customer dissatisfactionCHAPTERS00:00 Introduction and first Iceland-based CX Passport guest 02:00 Marketing and CX are more fluid than organizations admit 04:50 What B2B leaders misunderstand about customer experience 07:45 Silence, contracts, and how churn really starts 10:40 Stakeholders, misaligned objectives, and missed signals 14:20 CX maturity across regions and markets 16:00 First Class Lounge 20:30 Why CX matters most outside of tech and SaaS 24:20 Where B2C thinking hurts B2B CX efforts 27:00 CX advice for B2B startups 28:50 Where to find Kári and closing thoughtsGuest LinksKári Thor Runarsson on LinkedIn https://www.linkedin.com/in/karithor/Cliezen: https://www.cliezen.comListen: https://www.cxpassport.com Watch: https://www.youtube.com/@cxpassport Newsletter: https://cxpassport.kit.com/signupI'm Rick Denton and I believe the best meals are served outside and require a passport.Disclaimer: This podcast is for informational and entertainment purposes only. The views and opinions expressed are those of the hosts and guests and should not be taken as legal, financial, or professional advice. Always consult with a qualified attorney, financial advisor, or other professional regarding your specific situation. The opinions expressed by guests are solely theirs and do not necessarily represent the views or positions of the host(s).

Amy Errett didn't just enter the hair‑color category — she rewired it. In a space dominated by legacy brands, fragmented salons, and decades of “the way it's always been done,” she built Madison Reed into a high‑growth, tech‑powered beauty company with hundreds of millions in revenue and a fiercely loyal customer base.In this conversation, Amy shares how she trusted her operator instincts, spotted a massive overlooked category, and built a business with SaaS‑like retention in a consumer wrapper. She breaks down the early decisions that shaped Madison Reed's trajectory, the pivotal moment Ulta came calling, and how the pandemic revealed the company's grit, resilience, and product superiority.We also explore how AI became a foundational advantage from color‑matching and personalization to labor modeling and customer experience and why staying obsessively focused on one thing has become Madison Reed's moat.If you're interested in category disruption, operational excellence, or building a brand that scales with intention, this episode is a masterclass in modern leadership.Show Notes• Amy's shift from investor to operator and the “itch” she couldn't ignore• Why hair color is a massive, misunderstood category hiding in plain sight• The early DTC years and the product‑quality proof points that changed everything• How Ulta became a breakthrough moment — and why Amy almost said no• The pandemic surge: demand, resilience, and the unexpected acceleration• Scaling from six stores to nearly 100 and building a membership‑driven model• The role of AI in formulation, staffing, personalization, and customer care• Why Madison Reed stays laser‑focused on hair color instead of expanding broadly• The economics behind the business — recurring revenue, retention, and margins• Amy's perspective on IPO potential and why predictable revenue matters• International expansion, retail partnerships, and what's next for the brandIf you're building, scaling, or reinventing a category, this episode is packed with insights you won't want to miss. Listen now and subscribe to The Retail Pilot for more conversations with leaders shaping the future of retail.Hosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode of the Profit First for Real Estate Investing podcast, I sit down with Jordan Mederich, founder of Revatto, to explore how mastering retention and reducing churn can massively increase your business value—especially if you're eyeing an exit. Jordan's journey from performing magic tricks to building and selling businesses with recurring revenue is anything but ordinary. We talk about what real estate investors can learn from subscription businesses and how landlords can build tenant loyalty that pays off long term.Jordan breaks down practical, repeatable ways to keep customers—and tenants—engaged for the long haul. Whether you're scaling a coaching business, SaaS platform, or a rental portfolio, the strategies we cover in this episode are essential listening if you're looking to create predictable profit and long-term success.Episode Highlights:[0:00] - Why recurring revenue is the “purest” form of business[4:35] - The origin of Revatto: born out of churn-related deal collapses[6:01] - A 24-year-old's churn reduction success story and multi-million-dollar exit[8:12] - The #1 mistake that causes customer or tenant turnover[10:31] - How your first payment cycle sets the tone for retention[12:36] - “Surprise and wow”: How landlords can radically increase tenant loyalty[15:14] - The real cost of ignoring retention: turnover headaches and lost profit[16:49] - Why even busy owners should find time to make retention personal[19:07] - How we've used client onboarding calls to strengthen relationships[20:54] - Retention mindset for wholesalers and flippers with recurring buyers[23:03] - Why filtering for the right clients or tenants matters more than you think[27:09] - A full-circle retention recap and actionable takeaways you can implement today5 Key TakeawaysRecurring revenue isn't optional—it's foundational. One-time transactions are unstable; real profit comes from long-term relationships.Retention starts at acquisition. Filtering for the right clients or tenants is the first defense against churn.You have one cycle to impress. Whether it's a client or tenant, you've got one “billing period” to create a positive, memorable experience.Surprise and wow wins. Go above and beyond with personal touches. It doesn't cost much but builds major loyalty.You can systematize retention. Whether it's onboarding calls, personalized videos, or gift baskets—these processes can be delegated and scaled.Links & ResourcesLearn more about Revatto: https://www.revatto.comWork with Simple CFO: https://www.simplecfo.comIf you enjoyed this episode, please be sure to rate, review, follow, and share the podcast. Your support helps us continue bringing clarity, cash flow, and consistent profit to real estate investors like you!

Allison Yazdian took over as CEO of Uscreen in June 2025, as the video SaaS platform entered a new growth phase. Founder PJ Taei moved into an executive chairman role, and a December chief-of-staff job ad confirmed the company's “fully remote, bootstrapped, and profitable” setup. Uscreen reports 13,000 creators, nearly $1 billion in GMV, and over 8 billion minutes streamed.Looking for Remote Work?Click here remoteworklife.io to access a private beta list of remote jobs in sales, marketing, and strategy — plus get podcasts, real-world tips and business insights from founders, CEOs, and remote leaders. subscribe to my free newsletter Connect on LinkedIn

ServiceNow is one of the world's biggest SaaS and digital transformation companies is ServiceNow. When their Chief Experience Officer Amy Lokey was recently in Dublin, I caught up with her to find about what her job entails and how AI is being used by ServiceNow.Amy talks about customers user experience, how ServiceNow has embraced AI, how AI has influenced how ServiceNow use CRM's and more.More about ServiceNow:ServiceNow helps organisations connect AI, data, and workflows on one platform. Work works better for everyone across every corner of the business. Their AI platform delivers apps that predict issues, automate processes, and make time for people-powered innovation.

In this episode, we're joined by Ben McAllister, the Chief Product and Technology Officer at CrossFit, and one of the most thoughtful product leaders I've had the pleasure of speaking with. Ben's path is anything but linear: with a degree in physics, a short stint in consulting, and time spent as a creative director at a design agency before moving into senior product roles at Under Armour. Now he's shaping one of the world's most iconic fitness ecosystems. In this episode, Ben shares: Why attention is the ultimate currency in product design, and how to design for the “spotlight” versus the periphery. The “Infovore” Advantage: Why the best product leaders borrow ideas from outside the tech world; and How to build a cohesive product strategy for a complex, decentralized network like CrossFit's global community of affiliates and athletes. Links LinkedIn: https://www.linkedin.com/in/mcallister/ X: https://x.com/benmcallister?lang=en CrossFit: https://www.crossfit.com/ Resources The Age of the Infovore: Succeeding in the Information Economy (https://tylercowen.com/dd-product/the-age-of-the-infovore-succeeding-in-the-information-economy/) On the Origin of Stories (https://www.hup.harvard.edu/books/9780674057111) Chapters 00:00: Introduction 00:41: Ben's non-linear career path: From physicist to product leader 03:23: The "infovore" mindset in product management 06:00: Storytelling, juxtaposition, and the science of learning 08:48: Designing product for attention 12:00: Why product leaders shouldn't ignore marketing 15:10: CrossFit's origins as an internet-native brand 19:44: What is the CrossFit Open? 24:37: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

For years, we've heard about AI transforming software development. But what if that same level of agentic, AI-driven collaboration could be applied not just to writing code, but to writing your entire go-to-market playbook? Agility requires that your go-to-market teams operate at the speed of insight, not at the speed of manual data entry and fragmented workflows. This means empowering them with tools that don't just provide data, but automate action based on strategic intent. Today, we're going to talk about the concept of an 'agentic' go-to-market platform, where AI doesn't just assist, but actively collaborates with sales and marketing teams to automate entire workflows, from strategy to execution. To help me discuss this topic, I'd like to welcome, Marcio Arnecke, Chief Marketing Officer at Apollo.io. About Marcio Arnecke As Apollo.io's Chief Marketing Officer, Marcio Arnecke brings a visionary approach to scaling high-growth B2B SaaS marketing in the AI-driven sales landscape. With over two decades of experience driving revenue acceleration across global markets, he has consistently transformed early-stage technology companies into market-defining brands. Hisexpertise in AI-powered go-to-market strategies uniquely positions him to accelerate Apollo's mission of empowering sales teams through intelligent data and automation. Previously, he played a pivotal role in scaling marketing functions at SaaS giants like Intercom and Zendesk, where he drove remarkable growth from $40M to $1.7B, culminating in a successful IPO that raised $100 million in 2014. Leveraging his comprehensive background in demand generation, product marketing, and strategic storytelling, Marcio is focused on positioning Apollo as the go-to AI sales platform for SMB and mid-market teams. His approach combines data-driven insights with targeted narrative strategies, translating Apollo's technological capabilities into practical business value. Drawing from his global experience across Silicon Valley and international markets, Marcio aims to expand Apollo's brand and demonstrate how AI can meaningfully improve sales engagement for growing businesses. Marcio holds advanced degrees from Stanford University's Graduate School of Business and Golden Gate University, complemented by a BS in Business Administration from Universidade Feevale in Brazil. Marcio Arnecke on LinkedIn: https://www.linkedin.com/in/marcioarnecke/ Resources Apollo.io: https://www.apollo.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile  The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agile Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

When a new user signs up, most companies add them to a standard drip campaign. Ryan Carson found a better alternative: his AI agent sends customized drip messages to every new registrant. It helps his company close more business. It’s just one way he uses AI to act as his VP of marketing. In this interview, he breaks down how he automated his marketing. Ryan Carson is a three-time founder and longtime SaaS entrepreneur. He's currently the founder of Untangle, an AI-powered platform designed to help people navigate divorce with clarity and less conflict. With over 25 years of startup experience, Ryan now focuses on building highly specialized AI agents that combine software, automation, and real-world business workflows. Sponsored byZapier More interviews -> https://mixergy.com/moreint Rate this interview -> https://mixergy.com/rateint

Max Junestrand is the Co-Founder and CEO @ Legora, the legal AI company that has scaled to $70M in ARR, 750 of the world's leading law firms as customers and over 300 employees in just 2 years. They have raised over $200M from some of the best in the business including Benchmark, General Catalyst, Redpoint and ICONIQ.  AGENDA: 04:16 Why Does Everyone Think Harvey When They Hear Legal AI? 07:35 Why OpenAI is Toast? Switching to Anthropic! 11:47 24 Months: Which Foundation Models Will Win?  23:53 Lessons Scaling from Europe into the US 28:53 Do Americans Work As Hard As They Say? 32:20 Why Seat Models Are Not Dead in SaaS? 36:17 How to Use Competition To Drive a Fire in Your Team? 40:59 Is Legal AI a Winner-Take-All Market? How Does It End? 47:18 The Future of Law Firms: Do Juniors Get Fired? 53:19 How We Raised $200M and 3 Rounds with No Deck 57:21 Quickfire Round: Best Advice, Closest Mentor, Biggest Mindset Shift  

Segment 1: Interview with Thyaga Vasudevan Hybrid by Design: Zero Trust, AI, and the Future of Data Control AI is reshaping how work gets done, accelerating decision-making and introducing new ways for data to be created, accessed, and shared. As a result, organizations must evolve Zero Trust beyond an access-only model into an inline data governance approach that continuously protects sensitive information wherever it moves. Securing access alone is no longer enough in an AI-driven world. In this episode, we'll unpack why real-time visibility and control over data usage are now essential for safe AI adoption, accurate outcomes, and regulatory compliance. From preventing data leakage to governing how data is used by AI systems, security teams need controls that operate in the moment - across cloud, browser, SaaS, and on-prem environments - without slowing the business. We'll also explore how growing data sovereignty and regulatory pressures are driving renewed interest in hybrid architectures. By combining cloud agility with local control, organizations can keep sensitive data protected, governed, and compliant, regardless of where it resides or how AI is applied. This segment is sponsored by Skyhigh Security. Visit https://securityweekly.com/skyhighsecurity to learn more about them! Segment 2: Why detection fails Caleb Sima put together a nice roundup of the issues around detection engineering struggles that I thought worth discussing. Amélie Koran also shared some interesting thoughts and experiences. Segment 3: Weekly Enterprise News Finally, in the enterprise security news, Fundings and acquisitions are going strong can cyber insurance be profitable? some new free tools shared by the community RSAC gets a new CEO Large-scale enterprise AI initiatives aren't going well LLM impacts on exploit development AI vulnerabilities global risk reports floppies are still used daily, but not for long? All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-443

Tech has looked unstoppable thanks to AI winners—but a huge part of the market is telling a very different story. In this episode, Simon and Dan break down the brutal valuation reset hitting SaaS (Software-as-a-Service) stocks, with many major names down 30–50%+ despite still-solid underlying businesses. They explain the classic “moats” that made SaaS so powerful—switching costs, ecosystems, and data—and why AI agents and LLM-driven automation are now challenging the seat-based pricing model that many software companies depend on. The discussion moves through a rapid-fire list of well-known SaaS names to unpack what’s driving the drawdowns, where the market may be overreacting, and where the risk of disruption is real. Bottom line: some of these stocks may be turning into genuine value opportunities—but the old playbook may no longer apply, and investors need to underwrite what the business looks like 2–5 years from now, not what it used to be. Tickers mentioned: CSU, CRM, ADBE, NOW, ADSK, INTU, TEAM, WDAY, TWLO, DOCU, ADP Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Jason William Johnson, PhD, Founder of SoundStrategist, is driven by two lifelong passions: creating and teaching. Through SoundStrategist, Jason designs AI-powered learning experiences and intelligent coaching systems that blend music, gamification, and experiential learning to drive real skill development and engagement for enterprises and entrepreneur support organizations. We explore Jason's journey as a musician, educator, and business coach, and how he fused those disciplines into an AI-first company. Jason shares his AI for Deep Experts Framework, showing how subject-matter experts can identify an industry pain point, envision a solution, brainstorm with AI, leverage AI tools to build it, and go after high-value impact—turning deep expertise into scalable products and platforms without needing to be technical. He also explains how AI accelerates research and product design, how “vibe coding” enables rapid MVP development, and why focusing on high-value B2B impact creates faster traction with less complexity. — Turn Your Expertise Into Software with Jason W. Johnson Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group, developing the Summit OS Business Operating System. And my guest today is Jason William Johnson, PhD, the Founder of SoundStrategist. His team designs AI-powered learning experiences and deploys intelligent coaching systems for enterprises and entrepreneur support organizations blending music, gamification, and experiential learning to drive real skill development and engagement. Jason, welcome to the show.  Thanks for having me, Steve.  I’m excited to have you and to learn about how you blend music and learning and all that together. But to start with, I’d like to ask you my favorite question. What is your personal ‘Why’ and how are you manifesting it in your business?  I would say my personal ‘Why’ is creating and teaching. Those are my two passions. So when I was younger, I was always a creative. I did music, writing, and a variety of other things. So I was always been passionate about creating, but I’ve also been passionate about teaching. I've been informally a teacher for my entire adult life—coaching, training. I've also been an actual professor. So through  SoundStrategist, I’m kind of combining those two passions: the passion for teaching and imparting wisdom, along with the passion for creating through music, AI-powered experiences, gamification, and all of those different things. So I'm really in my happy place.Share on X  Yeah, sounds like it. It sounds like you're very excited talking about this. So this is quite an unusual type of business, and I wonder how do you stumbled upon this kind of combination, this portfolio of activities and put them all into a business. How did that come about? So Liam Neeson says, “I have a unique combination of skills,” like in Taken. I guess that's kind of how I came up with SoundStrategist. I've pretty much been in music forever. I've been a musician, songwriter, producer, and rapper since I was a child. My father was a musician, so it was kind of like a genetic skill that I kind of adopted and was cultivated at an early age. So I was always passionate about music. Then got older, grew up, got into business, and really became passionate about training and educating. So I pretty much started off running entrepreneurship centers. My whole career has been in small business and economic development. SoundStrategist was a happy marriage of the two when I realized, oh, I can actually use rap to teach entrepreneurship, to teach leadership skills, and now to teach AI and a variety of other things.Share on X So pretty much it was just that fusion of things. And then when we launched the company, it was around the time ChatGPT came out. So we really wanted to make sure we were building it to be AI-first. At first, we were just using AI in our business operations, but then we started experimenting  with it for client work—like integrating AI-powered coaches in some of the training programs we were running and things like that. And that really proved to be really valuable, because one of the things I learned when I was running programs throughout my career was you always wanted to have the learning side and the coaching side. Because the learning side generalizes the knowledge for everybody and kind of level-sets everybody.Share on X But everybody’s business, or everybody’s situation, is extremely unique, so you need to have that personalized support and assistance. And when we were running programs in the entrepreneurship centers I were running and things like that, we would always have human coaches. AI enabled us to kind of scale coaching for some of the programs we’re building at SoundStrategist through AI. So with me having been a business coach for over 15 years, I knew how to train the AI chatbots. It started off as simple chatbots, and now it's evolved into full agents that use voice and all those other capabilities. But it really started as, let's put some chatbots into some of our courses and some of our programs to kind of reinforce the learning, personalize it, and then it just developed from there. Okay, so there's a lot in there, and I'd like to unpack some of it. When you say use rap to teach, I’m thinking about rap is kind of a form of poetry. So how do you use poetry, or how do you use rap to teach people? Is it more catchy if it is delivered in the form of a rap song? How does it work? So you kind of want to make it catchy. Our philosophy is this: when you listen to it, it should sound like a good song.Share on X Because there’s this real risk of it sounding corny if it's done wrong, right? So we always focus on creating good music first and foremost when we’re creating a music-based lesson. So it should be a good song. It should be something you hear and think, oh, between the chorus and the music, this actually sounds good. But then, the value of music is that once you learn the song, you learn the concept, right? Because once you memorize the song, you memorize the lyrics, which means you memorize the concept. One of the things we also make sure to do is introduce concepts. The best way I could describe this is this, and this might be funny, but I grew up in the nineties, and a lot of rappers talked about selling dr*gs and things like that. I never sold dr*gs in my life. But just by listening to rap music and hearing them introduce those concepts, if I ever decided to go bad, I would have a working theory, right? So the same thing with entrepreneurship, and the same thing with business principles. You can create songs that introduce the concepts in a way where if a person's never done it, they're introduced to the vocabulary.Share on X They’re introduced to the lived experiences. They’re introduced to the core principles. And then they can take that, and then they can go apply it and have a working theory on how to execute in their business. So that’s kind of the philosophy that we took, let’s make it memorable music, but also introduce key vocabulary. Let’s introduce lived experiences. Let’s introduce key concepts so that when people are done listening to the song, they memorize it, they embody it, and they connect with it. Now they have a working theory for whatever the song is about.  And are you using AI to actually write the song?  No, we're not. That’s one of the things we haven’t really integrated on the AI front, because the AI is not good enough to take what’s exactly in my head and turn it into a song. It’s good for somebody who doesn’t have any songwriting capability or musical capability to create something that’s cool. But as a musician, as somebody who writes, you have a vision in your head on how something should sound sonically, and the AI is not good enough to take what’s in my head and put it into a song. Now, what we are using are some of the AI tools like Suno for background music. So at first, we used that to create all our background music for our courses from scratch. We are using some of the AI to help with some of the background music and everything and all of that so that we can have original stuffShare on X as opposed to having to use licensed music from places like Epidemic Sound. So we are using it for like the background music. But for the actual music-based lessons, we're still doing those old school.  Okay, that's pretty good. We are going to dive in a little bit deeper here, but before we go there, I’d like to talk about the framework that you’re bringing to the show. I think we called it the AI for Deep Experts Framework. That's the working title right now, but yeah, we're still finalizing it. But that’s the working title. Yeah.  But the idea—at least the way I'm understanding it—is that if someone has deep domain expertise, AI can be a real accelerator and amplifier of that expertise. Yep.  So people who are listening to this and they have domain expertise and they want to do AI so that they can deliver it to more people, reach more people, create more value, what is the framework? What is the five-step framework to get them there?  Number one: provided that you have deep expertise, you should be able to identify a core pain point in your respective industry that needs solving.Share on X Maybe it’s something that, throughout your career, you wanted to solve, but you weren’t able to get the resources allocated to get it done in your job. Or maybe it required some technical talent and you weren’t a developer, or whatever, right? But you should be able to identify what’s the pain point, a sticking pain point that needs to be solved—and if it's solved, it could really create value for customers. That's just old-school opportunity recognition. Number two: now, the great thing about AI is that you can leverage AI to do a lot of deep research on the problem. So obviously, you're still going to have conversations to better understand the pain point further. You're going to look at your own lived experiences and things like that. But now you can also leverage AI tools—using Perplexity or Claude—to do deep research on a market opportunity. So whether or not you have experience in market research, you can use an AI tool to help identify the total addressable market. You can brainstorm with it to uncover additional pain points, and it help you flesh out your value proposition, your concept statement, and all of those things that are critical to communicating the offering. Because before we transact in money, we always transact in language, right? So pretty much, AI can help you articulate the value proposition, understand the pain point, all of those different things. And then also if you have like deep expertise and you haven't really turned it into a framework, the AI can help you framework it and then develop a workflow to deliver value.Share on X So now you have the framework, you have the market understanding, and all of those different things. AI can even help you think through what the product would look like—the user experience, the workflow, things like that. Now you can use the AI-powered tool to help you build that. You can use something like Lovable. You can use something like Bolt. You could use something like Cursor, all different AI-powered tools. For people who are newer to development and have never done development before, I would recommend something like Lovable or maybe Bolt. But once you get more comfortable and want to make sure you're building production-ready software, then you move to something like Cursor.  Cursor has a large enough context window—the context window is basically the memory of an AI tool. It has a large enough context window to deal with complex codebases. A lot of engineers are using it to build real, production-ready platforms. But for an MVP, Bolt and Lovable are more than good enough. So one of the things I recommend when building with one of these tools is to do what's called a PRD prompt. PRD stands for Product Requirements Document.Share on X For those who aren’t familiar with software development, typically, and this is not even really happening anymore, but traditionally with software development, you would have the product manager create a Product Requirements Document. So this basically outlines the goals of the platform, target audience, core features, database, architecture, technology stack, all of the different things that engineers would need to do in order to build the platform. So you can go to something like Claude, or ChatGPT, and you can say: “Create a PRD prompt for this app idea,” and then give as much detail as possible—the features, how it works, brand colors, all of those different things. Then the AI tool—whether you're using ChatGPT, Claude, or Gemini—will generate your PRD prompt. So it’s going to be like this really, really long prompt. But it’s going to have all of the things that the AI tool, web-building or app-building tool needs to know in order to build the platform. It’s going to have all the specifications. So you copy and paste.  Is this what people call vibe coding?  Yeah, this is vibe coding. But the PRD prompt helps you become more effective at vibe coding because it gives the AI the specifications it needs and the language that it understands to increase the likelihood that you build your platform correctly. Because once you build the PRD prompt, the AI is going to know, okay, this is the database structure. It's going to know whether this is a React app versus a Next.js app. It's going to know, okay, we're building a frontend with Netlify. The stuff that you may not know, the AI will know, and it will build the platform for that. So then you take that prompt, you paste it into Lovable, paste it into Cursor, and then you can kind of get into your vibe coding flow. Don't let the hype fool you, though, because a lot of people will say, “Oh, I built this app in 15 minutes using Lovable.” No—it still requires time. But if you can build a full-stack application in two weeks when it typically takes several months, that’s still like super fast. So pretty much, on average, you can build something in a couple of weeks—especially once you get familiar with the process, you can build something in a couple of weeks. But if this is your first time ever doing this, pay attention to things like when the app debugs and some of the other issues that come up.  Start paying attention because you’re going to learn certain things by doing. As you go through the process, you'll begin to understand things like, okay, this is what an edge function is, this is what a backend is. You’ll start learning these different things as you’re going through the process, right? So you get the platform built. Now the next step is you want to distribute the platform. So obviously, if you’ve been in your industry for a while and you have some expertise, you should have some distribution. You should have some folks in your space who are your ICP that you can kind of start having some customer conversations with and start trying to sell the platform. One of the things that I always recommend is going B2B and selling something for significant valueShare on X as opposed to going B2C and selling a bunch of $19.99 subscriptions. And the reason for that is a couple of different things. Number one, when you have to do a lot of volume, your business model becomes more complicated. And then you have to introduce things to manage that volume. Whereas if you’re selling a solution that’s a five-figure to six-figure offering, like 10 clients, 15 clients, the amount of money that you can get to with less complexity in your business model. So I always say go B2B, at least a five-figure annual offering, because I know most of the offerings that we offer are at least high five figures, low six figures—subscriptions, SaaS licensing, or whatever. And that way it just introduces less complexity to your business model, and it allows you to get as much revenue as possible. And then as you go to market, you’re going to learn. So the learning aspect, you’re going to learn maybe customers want this or this feature. We thought the people were going to use the platform this way, but they’re actually using it this way. So you’re always learning, always evolving, and adjusting the offering. Okay, so let's say I have deep expertise in some area—maybe investment banking or whatever. I want to use AI. I identify an industry pain point that I've addressed or maybe I personally experienced. I visualize a solution, then I brainstorm with ChatGPT or Claude or whatever, figure out what to do, and then I leverage AI tools like Cursor, Lovable, or Bolt. I set the price point. I go B2B. Is this something that, as a subject-matter expert, is efficient for me to do myself because I have the expertise and the vision? Or is it better for me to hire someone to do this?  It depends on what your bandwidth is. I mean, pretty much I’m of the firm belief that like these are skills that you probably want to unlock anyway. So it might be worth going through the process of learning the tools, leveraging them, and everything, and all of that. And that’s kind of how you future-proof yourself. Now, obviously, if you have bandwidth limitations, there are firms and organizations that you could hire, et cetera, et cetera, that can do it for you. Obviously, developers and things like that. But the funny thing about a lot of developers is, even though they're using AI, they're still charging the prices they charged before AI, right? They’re just getting it done faster, and their margins are a lot lower. So you're still going to pay, in a lot of instances, developer pricing for a platform. Those are the things that you have to consider as far as your own personal situation. But me personally, I believe these are skills worth unlocking.Share on X Because one of the things is, if you get very senior in your career—let's say you've been there 15, 16 years, 20 years—we all know there's this point where you either move up to the C-suite or you get caught in upper-middle-management purgatory, where you're kind of in that VP, senior director space, et cetera, et cetera, and you just kind of hover there. At that point, your career moves tend to be lateral—going from one VP role to another VP role, one senior director role to another senior director role, right? At that point, your income potential starts to get limited. So unlocking one of these skills and becoming more entrepreneurial is something I genuinely believe is worth developing personally. And what would you say is the time requirement for someone to get competent in vibe coding?  Three months minimal. You could be pretty solid in three months.  But three months full-time or three months part-time?  Three months part-time.  So three months. That's about 143 working hours in a regular month. So that's basically around 420–430 hours if you were full-time.  If you spend weekends working on your project, learning how to build it, taking notes, and actually going through the process, you can get pretty decent in a couple of months. Now, obviously, there are still levels as you continue and to progress and things like that, but you can get pretty solid in a couple months. Another thing you want to consider is who you're selling to. You obviously wanna make sure that your platform security is really well, is really done. So even if you build it yourself and then you have an engineer do code review, that’s cheaper than having them build it. I think if you spend three months, you can get really good at building solutions for what you need to get done. And then from there, you just get better and better and better and better.  How do I know that, let's say I hire someone in Serbia to do a code review for me? Let's say I learn the vibe coding thing and create the prototype, then I have someone to clean the code. How do I know that they did a good job or not?  You really don’t. You really don’t know until the platform’s in the wild, and it’s like, okay, it’s secure. So there are some things that you can do to check behind people. Let's say you don't have the money to do a full security audit or hire someone specifically for a security review, a developer for security review. One of the things that you can do is you can do multi-agent review. Like you take your codebase, have Claude review it, have OpenAI Codex review it, have a Cursor agent review it. You have multiple agents do a review. Then they kind of check each other’s work, if you will.  They kinda identify things that others may not have identified, so you can get the collective wisdom of those three to be able to be like, “Okay, I need to shore this up. I need to fix this. I need to address that.” That gives you more confidence. It still doesn’t replace a person who has deep expertise and making sure they build secure code, but it will catch common issues, like hard-coding API keys, which is a risk, right? It’ll catch those type of things that typically happen. But let’s say you do have a security, a code review, you could just kind of take that same approach also to check their work. Because they shouldn’t find any major vulnerabilities. The AI agents that come in after it shouldn’t really find any major vulnerabilities if it was like done securely securely. Another thing to consider is that a lot of these tools use Supabase for the backend and database. Supabase also has a built-in security advisor, including an AI security advisor, that points out security issues, performance problems, and configuration errors. So like you do have some AI-powered check and balances to check behind people.Share on X  Interesting. So basically, I can audit their applications, and the AI will check the code and tell me what needs to be improved?  Yeah. And they can make the fixes for you.  Yeah. Wow, that’s amazing. It still sounds a little bit overwhelming. It’s basically a language, a new language to learn, isn’t it?  It’s not really — it’s English. That’s the amazing thing about it—it’s English. I mean, you literally talk to AI in natural language, and it builds stuff for you, which is, if somebody is like, had a idea for a minute, because I mean, pretty much running entrepreneurship centers, I’ve known so many people who’ve had ideas that they were never able to launch or build, and then they see somebody build it later. If you learn these skills, you get to the point where anything that's in your head, you can kind of start bringing it to life in reality.Share on X And even if you've got to bring somebody in to make sure it's secure and production-ready, it's way cheaper than having them build it from scratch. And then another thing that you’ll find also is if you’re able to build something, let’s say you want to turn it into a startup or something, right? It’s a lot easier to bring in a technical co-founder when they don’t got to build the thing from scratch, and then they also see that you were able to build something, they’re able to see your product vision, et cetera, et cetera. It becomes a lot more easier to recruit people who actually have that expertise into the company because you’ve already handled the hard part. You got something and it works. And all they got to do is just come in, make it safe, and make it work better.  Yeah, that is very interesting. It feels analogous to writing a book yourself or having a ghostwriter. Because essentially, you are vibe coding with a ghostwriter, right? You tell the stories, and then the ghostwriter writes the book for you. Probably now you can use  AI to do that. Yep.  But that's a skill. Not everyone has the skill to write it themselves, and then they need to go to the ghostwriter, but still is their book, right?  Yep.  So it sounds a little bit similar. That’s fascinating. So what’s the path to launching an MVP? So let’s say I’m a subject matter expert, and I want to launch an MVP within a few weeks. Is there a path for me to go there?  Once you get good with the platform, once you get comfortable with the tools, yeah. So for example, we're launching an AI platform. It's an AI coaching platform, but it's also a data analytics platform. Basically, it's targeted to entrepreneur support organizations and municipalities supporting small businesses. So on the front end, it's an AI-powered advisor — it's a hotline that people can call 24/7. But on the back end, the municipalities and entrepreneur support organizations get access to analytics from each of those calls. We built this in two weeks. We’re already talking to customers, we’re already having conversations, and all of those things. We literally brought it to market in two weeks. So the thing is, once you kind of get caught up with the tools—and I'm not a developer, I'm not a developer by trade at all. I had a tech startup before, but I was a non-technical founder. I just know how to put together a product. But once you get good with the tools, that's very conceivable. And then you just go out there, and you go in the market, you start having conversations with your ideal customer profile.Share on X As you’re going through that process, you’re learning, okay, maybe this isn’t my ideal customer profile, this is their pain point. Or maybe instead of this being the feature they want, this is the feature they want. And the crazy thing about it is in the past you had to really get that ICP real tight and the feature set real tight because it cost so much money to go back and have to make tweaks and changes and to get it to market in the first place. Now, you can get a new feature added in the afternoon. It allows you to go to market a little bit faster. You don’t have to have the ideal feature set. You don’t have to have the ICP figured out. You get out there, you learn, and then you’re able to iterate a lot faster because the cost of development is super cheap now, and the speed in which like new features can be added or deprecated is a lot faster. So it allows you to go to market a lot faster than in the past.  Okay, I got it. You can do this, you can code. What do you recommend for someone who’s starting out? You mentioned Lovable, Bolt, and then Cursor. Is Cursor like an advanced product?  Cursor’s a little bit more advanced, but if you want to build production-ready software, it's something you're going to eventually have to use. But can you convert from Lovable to Cursor?  Yes, you can. Yep. So what you typically do — and I still do this to this day — is every time I launch a product, I build it in Bolt first. You could use Bolt or Lovable, either one's fine. I use Bolt because Bolt came out first, and that's what I started using. Then Lovable came out like a month later. But I use Bolt. I’ll spin up the idea in Bolt. And the reason I like doing it in Bolt or Lovable is that it's really good at doing two things. It's really good at quickly launching your initial feature set, and then spinning up your backend. Your database — it's really good at that. So I start off in Bolt, then I connect it to a repository.  For those who aren't familiar with GitHub, there's a button in Bolt or Lovable where you can easily connect it to a GitHub repository. So then once I kind of get the app to a point where the basic skeleton is set, then I go into Cursor. Then I pull the repository into Cursor and do the heavy work. The reason Cursor has a learning curve is because there are still some traditional developer things you need to know to spin up a project. Your initial database — it's a lot harder to spin up your initial database and backend in Cursor. It's also harder to identify your initial libraries and all of those things. If you're a developer, it's not difficult. But if you're new, it is. Bolt and Lovable abstract those things out for you. So you start it off in Bolt or Lovable. Basically, since they're limited in their context windows, when you're trying to build something complex, eventually they start making a whole bunch of errors. They basically start getting stup*d. That's when you know it's time to move to Cursor, because Cursor can handle the heavy lifting. So if you build in Bolt or Lovable until it gets stup*d, then you move to Cursor for the heavy lifting.  And then is there a point where Cursor gets stup*d as well? No. Cursor has a couple of different things that allow it to extend its context window, which is his memory. You can put documentation into Cursor. For example, whatever your PRD prompt was, you can save that as a document in Cursor. You can also set rules. One of my rules in Cursor is: I'm not technical, so explain everything in layman's terms. And then as you’re starting to build code, you can save that code or you can point it to that repository. So there's some more flexibility with Cursor as far as managing your context window.Share on X But with Bolt and Lovable, the context window is more limited right now. So I start off in those, and then once I kind of get the skeleton up, then I move to Cursor. And at that point, a lot of the complicated things like spinning up your dev environment and all those things are kind of abstracted out. Then you can just jump in and use it the same way you use Bolt and Lovable. Fantastic. Fantastic. So, Jason, super helpful information for domain experts who want to build an application that will help them promote their product or manifest their ideas in product form. I think that’s super powerful. So if someone would like to learn about SoundStrategist and what SoundStrategist can do for them in terms of learning and experiential products, incorporating music, or building curriculum, or they would just like to connect with you to learn more about what you can do for them, where should they go?  Jason William Johnson, PhD, on LinkedIn, or www.getsoundstrategies.com.  Okay. Well, Jason William Johnson, you are really ahead of the curve, especially connecting this whole idea of vibe coding to people who are subject matter experts and not technical. And you know it because you don't come from a technical background, yet you've mastered it. I’m living it. Everything I’m sharing—this is not like a theoretical framework. I'm living all of this. So everything I’m saying. Super authentic. And especially coming from you—you understand what it's like to not be technical person, learning this, applying this.  So if you'd like to do this, learn more, or maybe have Jason guide you, reach out to him. You can find him on LinkedIn at Jason William Johnson, PhD, or visit www.getsoundstrategies.com. And if you enjoyed this episode, make sure you follow us and subscribe on YouTube, follow us on LinkedIn, and on Apple Podcasts. Because every week I bring a super interesting entrepreneur, subject matter expert, or a combination of the two—like Jason—to the show, who will help you accelerate your journey with frameworks and AI frameworks in that gear. So thank you for coming, Jason, and thank you for listening. Important Links: Jason's LinkedIn Jason's website

In this weeks' Scale Your Sales Podcast episode, my guest is Simon Sharp.   I'm CEO of Verto, a UK SaaS platform, the no 1 solution powering portfolio, programme and project management (P3M) across the UK public sector. An entrepreneur and GTM leader, I've co-founded RiskXchange, founded RockSec360 and held global revenue leadership roles scaling SaaS, cybersecurity, and fraud prevention companies from £1M to £100M+ worldwide.   In today's episode of Scale Your Sales podcast, Simon examine how science-led, data-driven approaches—enhanced by AI—are reshaping revenue architecture and modern sales leadership. Explore what differentiates organizations that achieve predictable ARR growth from those that plateau, with a strong focus on customer-centric growth systems, meaningful client relationships, and the evolving role of technology in sales. Drawing on his experience scaling multiple PE-backed SaaS businesses and his work with Winning by Design methodologies, Simon shares practical insights into how AI is improving efficiency and customer focus.   Welcome to Scale Your Sales Podcast, Simon Sharp.     Timestamps: 06:04 Retention: The Key to SaaS 06:58 Customer-Centric Growth Strategy 10:31 AI Tools Streamline Sales Processes 14:00 Prioritizing Sales Team Coaching 17:48 Coaching Individuals Over Deals 23:22 Strong Investor Relationships Drive Growth 24:53 Business Strategy and Time Management 28:57 Building Habits Gradually Yields Results   https://www.linkedin.com/in/simonsharp360/   Janice B Gordon is the award-winning Customer Growth Expert and Scale Your Sales Framework founder. She is by LinkedIn Sales 15 Innovating Sales Influencers to Follow 2021, the Top 50 Global Thought Leaders and Influencers on Customer Experience Nov 2020 and 150 Women B2B Thought Leaders You Should Follow in 2021. Janice helps companies worldwide to reimagine revenue growth thought customer experience and sales.   Book Janice to speak virtually at your next event: https://janicebgordon.com   LinkedIn: https://www.linkedin.com/janice-b-gordon/   Twitter: https://twitter.com/JaniceBGordon   Scale Your Sales Podcast: https://scaleyoursales.co.uk/podcast   More on the blog: https://scaleyoursales.co.uk/blog   Instagram: https://www.instagram.com/janicebgordon   Facebook: https://www.facebook.com/ScaleYourSales   And more! Visit our podcast website https://scaleyoursales.co.uk/podcast/ to watch or listen.

Segment 1: Interview with Thyaga Vasudevan Hybrid by Design: Zero Trust, AI, and the Future of Data Control AI is reshaping how work gets done, accelerating decision-making and introducing new ways for data to be created, accessed, and shared. As a result, organizations must evolve Zero Trust beyond an access-only model into an inline data governance approach that continuously protects sensitive information wherever it moves. Securing access alone is no longer enough in an AI-driven world. In this episode, we'll unpack why real-time visibility and control over data usage are now essential for safe AI adoption, accurate outcomes, and regulatory compliance. From preventing data leakage to governing how data is used by AI systems, security teams need controls that operate in the moment - across cloud, browser, SaaS, and on-prem environments - without slowing the business. We'll also explore how growing data sovereignty and regulatory pressures are driving renewed interest in hybrid architectures. By combining cloud agility with local control, organizations can keep sensitive data protected, governed, and compliant, regardless of where it resides or how AI is applied. This segment is sponsored by Skyhigh Security. Visit https://securityweekly.com/skyhighsecurity to learn more about them! Segment 2: Why detection fails Caleb Sima put together a nice roundup of the issues around detection engineering struggles that I thought worth discussing. Amélie Koran also shared some interesting thoughts and experiences. Segment 3: Weekly Enterprise News Finally, in the enterprise security news, Fundings and acquisitions are going strong can cyber insurance be profitable? some new free tools shared by the community RSAC gets a new CEO Large-scale enterprise AI initiatives aren't going well LLM impacts on exploit development AI vulnerabilities global risk reports floppies are still used daily, but not for long? All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-443

Segment 1: Interview with Thyaga Vasudevan Hybrid by Design: Zero Trust, AI, and the Future of Data Control AI is reshaping how work gets done, accelerating decision-making and introducing new ways for data to be created, accessed, and shared. As a result, organizations must evolve Zero Trust beyond an access-only model into an inline data governance approach that continuously protects sensitive information wherever it moves. Securing access alone is no longer enough in an AI-driven world. In this episode, we'll unpack why real-time visibility and control over data usage are now essential for safe AI adoption, accurate outcomes, and regulatory compliance. From preventing data leakage to governing how data is used by AI systems, security teams need controls that operate in the moment - across cloud, browser, SaaS, and on-prem environments - without slowing the business. We'll also explore how growing data sovereignty and regulatory pressures are driving renewed interest in hybrid architectures. By combining cloud agility with local control, organizations can keep sensitive data protected, governed, and compliant, regardless of where it resides or how AI is applied. This segment is sponsored by Skyhigh Security. Visit https://securityweekly.com/skyhighsecurity to learn more about them! Segment 2: Why detection fails Caleb Sima put together a nice roundup of the issues around detection engineering struggles that I thought worth discussing. Amélie Koran also shared some interesting thoughts and experiences. Segment 3: Weekly Enterprise News Finally, in the enterprise security news, Fundings and acquisitions are going strong can cyber insurance be profitable? some new free tools shared by the community RSAC gets a new CEO Large-scale enterprise AI initiatives aren't going well LLM impacts on exploit development AI vulnerabilities global risk reports floppies are still used daily, but not for long? All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-443

' An author might be thinking, I can't wait till the book is out on a bookshelf... I would suggest focus on the experience of the writing and the pleasure of actually writing the book and the satisfaction you're going to get in doing that.' David Sinkinson, SaaS entrepreneur, podcaster, and co-author of Startup Different (all of this done in partnership with his brother, Chris) is a big fan of business books. On long commute after long commute they taught him pretty much everything he needed to know to start and succeed with his own business, and one of the reasons he wrote his own book was a desire to pay that back.  One of the ways he does that is by rejecting the easy myths: he's open about the doubt, the missteps and the WFIO moments (you'll have to listen) along the way, and along with the practical wisdom addresses the emotional weight of building a business, what he describes as 'baked-in empathy'. Having read a lot of business books is a great start when you're writing a business book, but nothing is ever going to make this easy. David has some great advice for anyone taking the job on (especially in partnership with a fellow author), and draws out the parallel with entrepreneurship: it's hard, you're constantly doubting yourself, but if you can let yourself appreciate the process while you're in it rather than obsessing about the outcome, you might just find it's one of the most grittily joyful experiences of your life. 

Jason Cohen is a four-time founder (including two unicorns, one being WP Engine) and an investor in over 60 startups, and has been sharing his lessons on company building at A Smart Bear for nearly 20 years. In this episode, Jason shares his methodical five-step framework for diagnosing stalled growth—a problem that faces almost every team.We discuss:1. Jason's five-step framework: logo retention, pricing, NRR, marketing channels, target market2. A small tweak that'll double response rates on your cancellation surveys3. Why “it's too expensive” is almost never the real reason customers cancel4. The “elephant curve” of growth5. How repositioning the same product can increase revenue 8x6. When to reconsider if growth is even the right goal for your business—Brought to you by:10Web—Vibe coding platform as an APIStrella—The AI-powered customer research platformBrex—The banking solution for startups—Episode transcript: https://www.lennysnewsletter.com/p/why-your-product-stopped-growing—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jason Cohen:• Preorder Jason's book: https://preorder.hiddenmultipliers.com/• X: https://x.com/asmartbear• LinkedIn: https://www.linkedin.com/in/jasoncohen• Blog: https://longform.asmartbear.com• Website: https://wpengine.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 Jason Cohen(05:19) Jason's writing journey(08:25) Questions to ask when your product stops growing(18:17) Getting real customer feedback(20:27) Analyzing cancellation reasons(26:54) Onboarding and activation(29:35) Quick summary(35:46) Revisiting pricing strategies(41:46) Positioning strategies(47:52) Why pricing is inseparable from your strategy(52:06) The importance of net revenue retention (NRR)(01:00:25) Asking whether or not this is good for the customer(01:04:34) Leveraging existing customers(01:06:42) Are your acquisition channels saturated? The “elephant curve”(1:09:41) Why all marketing channels eventually decline(01:12:04) Direct vs. indirect marketing channels(1:13:36) Getting creative with new channels(01:19:04) Do you actually need to grow?(01:25:57) Deciding when to quit(01:29:27) Book announcement(01:33:21) AI corner(01:34:35) Contrarian corner(01:37:43) Lightning round and final thoughts—Referenced:• Tyler Cowen's website: https://tylercowen.com• How to Perform a Customer Churn Analysis (and Why You Should): https://www.groovehq.com/blog/learn-from-customer-churn• Linear: https://linear.app• Jira: https://www.atlassian.com/software/jira• Patrick Campbell's post on X about pricing: https://x.com/Patticus/status/1702313260547006942• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.lennysnewsletter.com/p/the-art-and-science-of-pricing-madhavan• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://www.lennysnewsletter.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Pricing your SaaS product: https://www.lennysnewsletter.com/p/saas-pricing-strategy• M&A, competition, pricing, and investing | Julia Schottenstein (dbt Labs): https://www.lennysnewsletter.com/p/m-and-a-competition-pricing-and-investing• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• Buffer: https://buffer.com• AG1: https://drinkag1.com• How to find hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com): https://www.lennysnewsletter.com/p/how-to-find-hidden-growth-opportunities-albert-cheng• How Duolingo reignited user growth: https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth• The Elephant in the room: The myth of exponential hypergrowth: https://longform.asmartbear.com/exponential-growth• HubSpot: https://www.hubspot.com• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Adjacency Matrix: How to expand after PMF: https://longform.asmartbear.com/adjacency/• Ecosystem is the next big growth channel: https://www.lennysnewsletter.com/p/ecosystem-is-the-next-big-growth• ChatGPT apps are about to be the next big distribution channel: Here's how to build one: https://www.lennysnewsletter.com/p/chatgpt-apps-are-about-to-be-the• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths• Breaking the rules of growth: Why Shopify bans KPIs, optimizes for churn, prioritizes intuition, and builds toward a 100-year vision | Archie Abrams (VP Product, Head of Growth at Shopify): https://www.lennysnewsletter.com/p/shopifys-growth-archie-abrams• Geoffrey Moore on finding your beachhead, crossing the chasm, and dominating a market: https://www.lennysnewsletter.com/p/geoffrey-moore-on-finding-your-beachhead• ER on Prime Video: https://www.amazon.com/ER-Season-1/dp/B0FWK5WJQ4• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Wispr Flow: https://wisprflow.ai• Anker: https://www.anker.com—Recommended books:• Will: https://www.amazon.com/Will-Smith/dp/1984877925• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Hidden Multipliers: Small Things That Accelerate Growth: https://preorder.hiddenmultipliers.com• On Writing Well: The Essential Guide to Mastering Nonfiction Writing and Effective Communication: https://www.amazon.com/Writing-Well-Classic-Guide-Nonfiction/dp/0060891548• Crossing the Chasm, 3rd Edition: The Updated Version of the Insightful Guide on Bringing Cutting-Edge Products to the Mainstream: https://www.amazon.com/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986—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

Following on the discussion of the Cloud 1.0 to Cloud 2.0 transition, we explore what that future cloud might look like. SHOW: 996SHOW TRANSCRIPT: The Cloudcast #996 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Q1 - What didn't Cloud 1.0 achieve from the grand vision?Q2 - What seemed promising but might have been the wrong timing? Q3 - Why didn't more SaaS get bundled by the hyperscalers?Q4 - Does multi-cloud become easier?Q5 - Do primitives continue to be the core offering, or do more integrated offerings dominate the landscape?Q6 - Do a bunch of existing primitives get turned off to make room for new AI capabilities (DC capacity)?Q7 - Is security on by default? Q8 - Do more private/sovereign capabilities get offered?Q9 - What are the new AI capabilities that nobody has even thought of yet?Q10 - How does the mix of AI workloads get distributed across clouds, or across private and public? FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Apple da un giro importante y entra de lleno al modelo de suscripción con Creator Studio, agrupando iWork, Final Cut, Logic Pro y Pixelmator con funciones de IA. En el episodio analizamos si el precio tiene sentido y qué implica este cambio para creativos.También hablamos del retiro de ASUS del mercado de smartphones, el futuro incierto de los televisores Sony tras su alianza con TCL, la llegada de anuncios a Threads y ChatGPT, y el nuevo acuerdo que cambia la estructura de TikTok en Estados Unidos.

We're unpacking what China's structural issues mean for markets, why SaaS stocks are being punished so hard, and whether AI fears have gone too far. Plus, Bryce finally reveals how his $500 to $5,000 challenge actually ended...tune in to find out!Win a $500 Visa Digital eGift Card by completing the 2026 Equity Mates Media Community Survey! The Community Survey helps us understand how we can continue to improve our content to help you on your money and investing journey. You can either complete the five compulsory questions, or take 10 minutes to give us a bit more feedback: https://www.surveymonkey.com/r/WRWDVTV Are you the next member of the Equity Mates team? We're looking for a Graphic Designer to start on a 6 month full time contract role, apply here.In this episode: 02:37 The $500 to $5,000 challenge — final results are in09:33 China's collapsing birth rate13:23 China's property crisis & the wealth effect18:10 SaaS stocks vs AI: fear or opportunity?———Want to get involved in the podcast? Record a voice note or send us a message And come and join the conversation in the Equity Mates Facebook Discussion Group.———Want more Equity Mates? Across books, podcasts, video and email, however you want to learn about investing – we've got you covered.Keep up with the news moving markets with our daily newsletter and podcast (Apple | Spotify)———Looking for some of our favourite research tools?Download our free Basics of ETF handbookOr our free 4-step stock checklistFind company information on TIKRScreen the market with GuruFocusTrack your portfolio with Sharesight———In the spirit of reconciliation, Equity Mates Media and the hosts of Equity Mates Investing acknowledge the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respects to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander people today. ———Equity Mates Investing is a product of Equity Mates Media. This podcast is intended for education and entertainment purposes. Any advice is general advice only, and has not taken into account your personal financial circumstances, needs or objectives. Before acting on general advice, you should consider if it is relevant to your needs and read the relevant Product Disclosure Statement. And if you are unsure, please speak to a financial professional. Equity Mates Media operates under Australian Financial Services Licence 540697. Hosted on Acast. See acast.com/privacy for more information.

Summary In this episode, Amas Tenumah and Bob Furniss delve into the current state of Software as a Service (SaaS) and its intersection with artificial intelligence (AI), particularly in the context of contact centers. They discuss the recent downturn in stock prices for major SaaS companies like Salesforce and ServiceNow, attributing this to Wall Street's skepticism about the actual impact of AI on these platforms. Amas expresses concern that the hype surrounding AI is outpacing the reality of its implementation, suggesting that many companies are not yet ready to fully embrace AI-driven solutions. Bob echoes this sentiment, emphasizing the importance of expertise and experience in successfully implementing these technologies.   AI hype is ahead of customer readiness. Wall Street is skeptical about SaaS companies' future. Vibe coding may not replace the need for expertise. Experience in implementation outweighs potential of new tech. Both extremes of AI adoption are currently inaccurate. Sound bites "Service now stock hasn't been this cheap in like four years." "There's two different stories going on here." "Both extremes are wrong today." Chapters 00:00 Introduction and Current Market Overview 00:53 The Impact of AI on SaaS Companies 03:42 Building vs. Buying: The New Paradigm 07:18 Navigating Contract Renewals and New Technologies 10:49 The Future of AI in the Contact Center Industry 13:38 Conclusion and Key Takeaways

What does it actually take to build trust with developers when your product sits quietly inside thousands of other products, often invisible to the people using it every day? In this episode of Tech Talks Daily, I sat down with Ondřej Chrastina, Developer Relations at CKEditor, to unpack a career shaped by hands-on experience, curiosity, and a deep respect for developer time. Ondřej's story starts in QA and software testing, moves through development and platform work, and eventually lands in developer relations. What makes his perspective compelling is that none of these roles felt disconnected. Each one sharpened his understanding of real developer friction, the kind you only notice when you have lived with a product day in and day out. We talked about what changes when you move from monolithic platforms to API-first services, and why developer relations looks very different depending on whether your audience is an application developer, a data engineer, or an integrator working under tight delivery pressure. Ondřej shared how his time at Kentico, Kontent.ai, and Ataccama shaped his approach to tooling, documentation, and examples. For him, theory rarely lands. Showing something that works, even in a small or imperfect way, tends to earn attention and respect far faster. At CKEditor, that thinking becomes even more interesting. The editor is everywhere, yet rarely recognized. It lives inside SaaS platforms, internal tools, CRMs, and content systems, quietly doing its job. We explored how developer experience matters even more when the product itself fades into the background, and why long-term maintenance, support, and predictability often outweigh short-term feature excitement. Ondřej also explained why building instead of buying an editor is rarely as simple as teams expect, especially when standards, security, and future updates enter the picture. We also got into the human side of developer relations. Balancing credibility with business goals, staying useful rather than loud, and acting as a bridge between engineering, product, marketing, and the outside world. Ondřej was refreshingly honest about the role ego can play, and why staying close to real usage is the fastest way to keep yourself grounded. If you care about developer experience, internal tooling, or how invisible infrastructure shapes modern software, this conversation offers plenty to reflect on. What have you seen work, or fail, when it comes to earning developer trust, and where do you think developer relations still get misunderstood? Useful Links Connect with Ondrej Chrastina Learn more about CK Editor Thanks to our sponsors, Alcor, for supporting the show.

BONUS: Thinking Like an Architect in the Age of AI-Assisted Coding How can engineers leverage AI to write better code—and think like architects to build systems that truly scale? In this episode, Brian Childress, a CTO and software architect with over 15 years of experience, shares hard-won lessons from teams using AI coding tools daily, and explains why the real challenge isn't just writing code—it's designing systems that scale with users, features, and teams. The Complexity Trap: When AI Multiplies Our Problems "Most engineering projects and software engineers themselves lean more towards complexity, and I find that that complexity really is multiplied when we bring in the power of AI and its ability to write just tons and tons and tons of code."   Brian has observed a troubling pattern: AI tools can generate deeply nested components with complex data flows that technically work but are nearly impossible to understand or maintain. When teams don't guide AI through architectural decisions, they end up with code that becomes "a little too complex for us to understand what is actually going on here." The speed at which AI produces code makes understanding the underlying problem even more critical—we can solve problems quickly, but we must ensure we're solving them the right way. In this segment, we mention our longer AI Assisted Coding podcast series. Check that out for further insights and different perspectives on how our software community is learning to make better use of AI Assisted Coding tools.  Vibe Coding Has Its Place—But Know Its Limits "Vibe coding is incredibly powerful for designers and product owners who want to prompt until they get something that really demonstrates what they're trying to do."   Brian sees value across the entire spectrum from vibe coding to architect-driven development. Vibe coding allows teams to move from wireframes and Figma prototypes to actual working code much faster, enabling quicker validation with real customers. The key distinction is knowing when to use each approach:   Vibe coding works well for rapid prototyping and testing whether something has value Architect thinking becomes essential when building production systems that need to scale and be maintained What Does "Thinking Like an Architect" Actually Mean? "When I'm thinking more like an architect, I'm thinking more around how bigger components, higher level components start to fit together."   The architect mindset shifts focus from "how do I work within a framework" to "what is the problem I'm really solving?" Brian emphasizes that technology is actually the easiest part of what engineers do—you can Google or AI your way to a solution. The harder work is ensuring that the solution addresses the real customer need. An architect asks: How can I simplify? How can I explain this to someone else, technical or non-technical? The better you can explain it, the better you understand it. AI as Your Thought Partner "What it really forces us to do is to be able to explain ourselves better. I find most software engineers will hide behind complexity because they don't understand the problem."   Brian uses AI as a collaborative thought partner rather than just a code generator. He explains the problem, shares his thought process, and then strategizes back and forth—looking for questions that challenge his thinking. This approach forces engineers to communicate clearly instead of hiding behind technical jargon. The AI becomes like having a colleague with an enormous corpus of knowledge who can see solutions you might never have encountered in your career. Simplicity Through Four Shapes "I basically use four shapes to be able to diagram anything, and if I can't do that, then we still have too much complexity. It's a square, a triangle, a circle, and a line."   When helping colleagues shift from code-writing to architect-thinking, Brian insists on dead simplicity. If you can diagram a system—from customer-facing problems down to code component breakdowns, data flow, and integrations—using only these four basic shapes, you've reached true understanding. This simplification creates that "light bulb moment" where engineers suddenly get it and can translate understanding into code while in flow state. Making AI Work Culturally: Leading by Example "For me as a leader, as a CTO, I need to show my team this is how I'm using it, this is where I'm messing up with it, showing that it's okay."   Brian addresses the cultural challenge head-on: mid-level and senior engineers often resist AI tools, fearing job displacement or having to support "AI slop." His approach is to frame AI as a new tool to learn—just like Google and Stack Overflow were in years past—rather than a threat. He openly shares his experiments, including failures, demonstrating that it's acceptable to laugh at garbage code while learning from how it was generated. The Guardrails That Make AI Safe "If we have all of that—the guardrails, the ability to test, automation—then AI just helps us to create the code in the right way, following our coding standards."   The same engineering practices that protect against human errors protect against AI mistakes: automated testing, deployment guardrails, coding standards, and code review. Brian sees an opportunity for AI to help teams finally accomplish what they've always wanted but never had time for—comprehensive documentation and thorough automated test suites. Looking Ahead: More Architects, More Experiments, More Failures "I'm going to see more engineers acting like architects, more engineers thinking in ways of how do I construct this system, how do I move data around, how do I scale."   Brian's 2-3 year prediction: engineers will increasingly think architecturally because AI removes the need to deeply understand framework nuances. We'll have more time for safeguards, automated testing, and documentation. But expect both sides of the spectrum to intensify—more engineers embracing AI tools, and more resistance and high-profile failures from CEOs vibe-coding production apps into security incidents. Resources for Learning Brian recommends staying current through YouTube channels focused on AI and developer tools. His top recommendations for developer-focused AI content:   IndyDevDan NetworkChuck AI Jason   His broader advice: experiment with everything, document what you learn as you go, and be willing to fail publicly. The engineers who thrive will be those actively experimenting and learning.   About Brian Childress   Brian Childress is a CTO and software architect with over 15 years of experience working across highly regulated industries including healthcare, finance, and consumer SaaS products. He brings a non-traditional background to technology leadership, having built his expertise through dedication and continuous learning rather than formal computer science education. Brian is passionate about helping engineers think architecturally and leverage AI tools effectively while maintaining simplicity in system design.   You can link with Brian Childress on LinkedIn.

In this episode of Dividend Talk, we break down fresh warnings, dividend hikes, and the big stories in EuropeDividend growth investors need to understand right now.We start with the first earnings of the season, led by Johnson & Johnson, and dig into what its latest results tell us about dividend reliability, pipeline strength, and long-term growth. From there, we cover Fastenal and a mini dive into why its business model may be far more durable than “nuts and bolts” suggests, plus a closer look at the Swedish powerhouse Investor AB and its long-term compounding track record.Along the way, we also discuss:Recent dividend hikes from Essity, Tryg, Investor AB, L3Harris, and Valero EnergyWhether Europe's proposed wealth and unrealised gains taxes threaten long-term compoundingWhat Davos, Ray Dalio, gold, and shifting globalpower structures mean for dividend investorsThe role of gold, Bitcoin, and defensive assets in adividend-focused portfolioETF-based global dividend strategies vs.individual stock selectionHow we personally size positions and manageportfolio riskWhether owning highly profitable dividend payersraises ethical questionsListener Q&A on SaaS stocks, Evolution AB,airports, and portfolio construction

Klik je týždenný komentovaný prehľad technologických správ, o udalostiach, ktoré sa udiali vo svete IT, médií a sociálnych sietí. Moderátori: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ondrej Podstupka⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Martin Hodás Discord diskusný server nájdete tu: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://discord.gg/eqeqBcw2V8⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Linky: AI segment YouTube si posvieti na AI slop - https://blog.youtube/inside-youtube/the-future-of-youtube-2026/ Reklamy v ChatGPT - https://www.wired.com/story/openai-testing-ads-us/ Gemini bude poháňať asistenta od Apple https://www.cnbc.com/2026/01/12/apple-google-ai-siri-gemini.html SaaS firmy strácajú hodnotu https://finance.yahoo.com/news/no-reasons-own-software-stocks-140000103.html Asus končí so smartfonmi https://www.gsmarena.com/confirmed_asus_is_exiting_the_smartphone_market_-news-71158.php Tesla Tesla oficiálne prišla na Slovensko https://www.sme.sk/auto/c/tesla-oficialne-prichadza-na-slovensky-trh-na-nabrezi-dunaja-ukaze-svetelnu-sou Vesmír Blue Origin oznámil vlastnú satelitnú megakonšteláciu https://www.cnbc.com/2026/01/21/bezos-blue-origin-satellite-internet-spacex-amazon.html Spravili sme chybu, máte pripomienku? Napíšte nám na ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠klik@sme.sk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Kapitoly 00:00 Úvod01:26 AI segment (Reklamy v Chat GPT, YouTube chce potlačiť AI slop, softvér stráca hodnotu)36:58 Tesla na Slovensku46:38 Bezos rozbieha konkurenciu pre svoje vlastné satelity55:34 ZáverSee omnystudio.com/listener for privacy information.

This week, we discuss Claude and the ongoing AI acceleration, AI's impact on VC and SaaS, and the latest draft of the CLARITY Bill. We also dig into BitGo's upcoming IPO, Polygon's latest acquisitions, the Farcaster Sale, Larry Fink's WEF comments, and more. Enjoy! -- Follow Jason: https://x.com/JasonYanowitz Follow Rob: https://x.com/HadickM Follow Santi: https://x.com/santiagoroel Follow Empire:https://x.com/theempirepod    -- Coinbase crypto-backed loans, powered by Morpho, enable you to take out loans at competitive rates using crypto as collateral. Rates are typically 4% to 8%. Borrow up to $5M using BTC as collateral and up to $1M using ETH as collateral. Manage crypto-backed loans directly in the Coinbase app with ease. Learn more here:  https://www.coinbase.com/onchain/borrow/get-started?utm_campaign=0126_defi-borrow_blockworks_empire&marketId=0x9103c3b4e834476c9a62ea009ba2c884ee42e94e6e314a26f04d312434191836&utm_source=empire  -- Timestamps: (00:00) Intro (02:55) Claude And The AI Acceleration (11:53) Leveraging Expertise, Competing Models & Company Structure (21:02) AI's Impact On VC And SaaS (31:590 Ads (Coinbase) (32:44) Unpacking The CLARITY Bill (41:00) BitGo's IPO (53:53) Polygon Acquisitions (01:00;47) Farcaster Sale & Decentralized Social (01:08:30) Larry Fink And Content Of The Week -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

Young Entrepreneur John Magnor Shares B2B, SAAS and AI-Driven Business Success Strategies Youtube.com/@johnpmag About the Guest(s): John Magnor is a successful 24-year-old entrepreneur, primarily focused on building and scaling B2B companies, including software and service providers. With a career that began at 16, he has devoted himself over the past years to expand businesses through developing robust sales teams and streamlining marketing systems. John is the founder of Magner Equity Partners, aiming to create a portfolio of businesses scalable enough to be sold to private equity. His entrepreneurial journey is motivated by a passion for the business game and the art of marketing and sales. Episode Summary: In this riveting episode of The Chris Voss Show, host Chris Voss engages with John Magnor, a young yet remarkably proficient entrepreneur who has made significant impacts in the B2B industry. Broadcasting from Buenos Aires, John shares his journey from a 16-year-old eager to break norms to becoming a key player in software and service-associated entrepreneurship. This episode shines a light on John’s unique approach to scaling B2B companies, underlining the importance of sales and marketing in business growth. John Magnor narrates his story, highlighting foundational motivations stemming from personal needs and family influence. The discussion flows into the importance of learning sales and marketing, with Chris echoing the sentiment, noting their pivotal role in any business venture. The conversation naturally gravitates towards the future trajectory of businesses, exploring the intricacies of AI technology in revolutionizing traditional market landscapes. With an impressive track record and insightful perspectives, John discusses his investment strategies and shares an exclusive look into his upcoming project, Nova, an AI-driven sales trainer and role player. Key Takeaways: John Magnor started his entrepreneurial journey at a young age, driven by the desire to deviate from the norm and make a mark in the B2B scene by leveraging his skills in sales and marketing. Magnor Equity Partners focuses on helping businesses scale by refining their sales processes and marketing systems, aiming to add them to John's expanding portfolio. Artificial Intelligence (AI) is a crucial element in modern business strategies, offering unparalleled opportunities for growth and efficiency. The interplay between AI, sales, and marketing can drastically improve training and operational efficiency, as evidenced by the introduction of Nova, an innovative AI sales training platform. Chris Voss and John stress the importance of a solid business foundation, emphasizing the benefits of starting young and evolving with market changes. Notable Quotes: “Once you learn sales, you can work anywhere. Sales is an invaluable skill.” – John Magnor “AI is here to stay; companies not utilizing it are left in the dust.” – John Magnor “Business is the best sport…you can do this until you kick the grave.” – John Magnor “Build a foundation in your youth. It creates an amazing arc for the rest of your life.” – Chris Voss “Knowing sales and marketing is crucial. They are the building blocks of successful business ventures.” – John Magnor

Today on the show, we have Matthew Tharp, CEO of Hunter.io, the all-in-one email outreach platform used by over 4 million people to identify prospects and run cold email campaigns. Previously, Matthew was VP of Worldwide Retention at LogMeIn, where he owned NRR across nine products—giving him a rare masterclass in retention challenges at different stages and scales.In this episode, we uncover why retention isn't a problem you solve when growth stalls—it's DNA you build from day one. Matthew shares the paradox of his career: building a company with 95%+ annual retention that got acquired, versus joining a high-growth PLG business with churn issues that needed solving before scaling further.We explore why over-indexing on either growth or retention creates problems, how to identify the usage patterns that predict churn in the first three weeks, and why every company that tries to fix retention late struggles. The lesson: balance from the beginning beats transformation later.We also discuss how Hunter achieved 3X growth this year by going back to basics—running a rigorous ICP analysis, choosing battles they could win instead of markets where competitors were spending $100M, and layering new customer segments without creating product bloat.Finally, we dig into cold outreach data: why email lists under 100 people dramatically outperform larger ones, why shorter emails force the clarity that drives replies, and how constraints—not scale—are the real performance lever in outbound.As always, I'd love to hear from you. You can email me directly at andrew@churn.fm, and don't forget to follow us on X.Churn FM is sponsored by Vitally, the all-in-one Customer Success Platform.

In episode #348 of SaaS Metrics School, Ben Murray responds to a thoughtful LinkedIn comment that challenged a common assumption: that a well-structured SaaS P&L tells the whole story. While a properly built chart of accounts and SaaS P&L are foundational, Ben explains where hidden risks can still exist beneath clean financial statements. Using real-world examples from SaaS founders and finance teams, this episode explores how revenue commingling, misclassified expenses, role overlap, and customer concentration can quietly distort decision-making—despite an “immaculate” P&L. Resources Mentioned LinkedIn SaaS P&L Post: https://www.linkedin.com/posts/benrmurray_saas-activity-7418308514533552128-l2eG/ SaaS P&L Blog Post: SaaS Metrics Course: What You'll Learn Why a clean SaaS P&L can still hide structural business risk How revenue commingling and miscoding undermine financial clarity When and how to reclass employee costs across departments Why materiality matters more than perfection in early-stage accounting How customer concentration risk often surfaces late in due diligence Why It Matters A SaaS P&L is only as useful as the assumptions behind it Poor expense classification can distort margins and unit economics Misunderstanding departmental cost ownership leads to flawed decisions Customer concentration can materially impact valuation and investor confidence Strong financial systems require both structure and experienced oversight

Deepak Sindwani is Managing Partner at Wavecrest Growth Partners, an active growth equity firm backing bootstrapped and lightly funded SaaS founders. They work with practical founders who've built profitable businesses to $5–$20M ARR and want help growing without VC pressure or losing control. Wavecrest invests in vertical SaaS companies growing 30–60% annually, typically profitable or breakeven. They help founders scale sales, pricing, analytics, and leadership teams while staying capital efficient. Investments are usually $10–$30M total, with founders often taking some liquidity while continuing to lead. Even with the excitement around AI-first companies from VCs, Deepak sees efficient growth equity in practical vertical SaaS as a great investment and a big opportunity for founders. AI is helping serious practical founders, not making them irrelevant. Key Takeaways Capital Efficiency Matters — Wavecrest only backs profitable or breakeven SaaS companies that already respect the business model fundamentals. Founder Liquidity Helps — Taking some money off the table reduces stress and helps founders make better long-term decisions. Vertical SaaS Wins — Deep industry knowledge and data create defensibility AI-first competitors struggle to replicate. AI Is Additive — Software plus AI and data creates more value than AI replacing SaaS systems of record. No One-Size Playbook — Growth equity works best when strategies are customized, not forced by rigid PE-style playbooks. Quote from Deepak Sindwani, Managing Partner at Wavecrest Growth Partners "We don't think B2B SaaS is dead. It may create great headlines to say, AI eats software. We think software plus AI is the right approach. Software, AI plus data. So they're harvesting and creating that data moat that is going to help make them defensible. "Then, using the AI tools, why not use the AI tools to provide more automation for customers? That's what we really think AI does: increase the ability to automate the use of their product and to get value.  "Every company that we're involved with has some AI initiative. How am I changing how I run my business? How am I changing marketing and sales and finance and customer success using AI? Every company is doing something in every function in terms of new tools and tests." Links Deepak Sindwani on LinkedIn Wavecrest Growth on LinkedIn Wavecrest Growth Partners website Podcast Sponsor – Lighter Capital This podcast is sponsored by Lighter Capital. In the last 15 years, Lighter Capital has helped over 600 software and SaaS founders secure simple, non-dilutive financing to grow a little faster—without giving up any precious equity or board seats to investors.  Simple debt funding from Lighter Capital can range from $50K to $10 million, with straightforward terms, no personal guarantees or covenants, and up to a 4-year payback period. Go to LighterCapital.com to apply and get a quick pre-qualification. Then talk with their experienced team to create a practical funding plan to achieve your goals.  The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Damien Tanner (founder of Pusher, now building Layercode) is back for a reunion 17 years in the making. Damien officially returns to The Changelog to discuss the seismic shift happening in software development. From the first sponsor of the podcast to frontline builder in the AI agent era, Damien shares his insights on why SaaS is dying, why code review is a bottleneck (and non-existent for some), and how small teams can now build giant things.

(0:00) Jason and Sacks welcome Microsoft CEO Satya Nadella (1:31) Future of AI copilots and agents, impact on white collar work (8:01) How Microsoft has scaled revenue and profits with flat headcount (10:50) The extreme competition in AI: Microsoft, xAI, Google, OpenAI, Anthropic (12:39) Views on diffusion, how the US tech stack can win globally (19:59) OpenAI deal, owning the IP, thoughts on open-source winning AI, Microsoft's AI stack, do they need a foundation model? (26:08) What SaaS adoption looks like in the age of AI Follow Satya: https://x.com/satyanadella Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect