Podcasts about Saas

John Horn is the CEO of StubGroup, a digital marketing agency and Google Premier Partner. StubGroup has generated over half a billion dollars in revenue for over 2,000 clients spanning many verticals, including ecommerce, lead generation, B2B, B2C, local services, SAAS, and more. John has taught marketing to over 100,000 students via online courses. The videos he creates through StubGroup's YouTube channel have received millions of views and have helped make StubGroup the #1 resource for fixing Google Ads suspensions.Connect with John here:https://www.linkedin.com/in/johnjhorn1/https://www.facebook.com/StubGroup/https://www.instagram.com/stubgroupadvertising/https://stubgroup.com

Steve Ruiz joins us for a deep-dive on tldraw (a very good free whiteboard) and the business he's built selling SDKs that help others build very good whiteboards (and more) with tldraw's high-performance web canvas. Along the way, we discuss the excitement/fear we share about keeping our agents busy, how SDK and infra companies are affected differently by agentic software than SaaS companies, how Steve is approaching the coming era of internal tooling, what will happen when we equip LLMs with an infinite canvas, and more.

In this episode of No Priors, Sarah and Elad dive into the evolving landscape of software, exploring how AI is transforming the traditional SaaS model. They discuss whether SaaS as we know it is coming to an end, what new business and sales strategies are emerging, and how AI is reshaping the way software is built, sold, and scaled. The conversation also examines whether or not these shifts are a good thing for both big and small companies, and how coders and software experts are reacting to abrupt AI transitions. They also dig into how AI is reshaping sales, automating workflows, and enabling more predictive customer strategies. Beyond individual companies, they examine how tech giants are increasingly dominating the S&P 500, and what this concentration of power means for the future of startups, innovation, and the broader entrepreneurial ecosystem. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |  Chapters: 00:00 – Cold Open 00:35 – The SaaS-polcalypse discussion  4:55 – AI Change Management in Large vs. Small Companies 05:43 – “Is Software Eating the World?”  08:38 – Addressing the Unsolved Problems  14:00 – The Noise of the Last Month vs. Excitement  21:32  – What Proportion of GDP is Tech?  23:20 – Market Cap Shifts 25:02 – As a Company, When Should You Sell?  29:05 – Multi-Product Bundle Defense  30:45 – Conclusion

Czy da się skalować startup bez kolejnej rundy finansowania?Co zrobić, gdy inwestor wycofuje się w trakcie rundy, wybucha wojna, a pieniądze zaczynają się kończyć?I czy wzrost 30–40% rocznie to sukces… czy problem?W tym odcinku rozmawiamy z Grzegorzem Wójcikiem, CEO Autenti - platformy usług zaufania, przez którą przechodzą miliony dokumentów rocznie. To szczera rozmowa o budowaniu firmy SaaS, skalowaniu sprzedaży, presji inwestorów, breakeven i podejmowaniu trudnych decyzji.To nie jest historia o jednorożcu.To historia o realnym biznesie.W tym odcinku:

This is my second conversation with Josh Kushner, founder and managing partner of Thrive Capital. I recorded this conversation in October after publishing the Colossus cover story about him and Thrive. Given the overwhelming response, we created some breathing room before releasing it. Josh started Thrive in 2011. The firm now manages approximately $50 billion with a very small investment team. What makes Thrive different is how concentrated they are and how involved they get with their portfolio companies. We cover the iconic investments that defined Thrive: Instagram, Stripe, GitHub, and spend a lot of time on OpenAI. Josh explains how Thrive thinks about investing today and the three categories they're currently focused on. Josh also talks about building the firm, why they keep the team small, and what he's learned from A24 about enabling artists to do their best work. He shares personal stories that shaped him, including his grandmother's experience surviving the Holocaust, and lessons from Stan Druckenmiller, Jon Winkelried, and others at formative moments in Thrive's history. Please enjoy my great conversation with Josh Kushner. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠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. ----- 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.  ----- ⁠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. ----- ⁠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. ----- ⁠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 (00:02:43) Intro: Josh Kushner (00:03:46) How Thrive Has Changed Since 2023 (00:05:18) Thrive's Entrepreneurial Culture (00:12:22) The Power of Small Teams (00:13:35) Sponsors (00:14:35) Concentration as Differentiation (00:16:16) The Github Deal (00:18:08) Lesson from Stan Druckenmiller (00:20:37) Leading Stripe's $50 Billion Round (00:23:16) Instagram: Doubling an Investment in Days (00:25:43) Isomorphic: Thrive as an Enabling Technology (00:27:04) Thrive & A24 (00:28:19) OpenAI: The Product Josh Couldn't Unsee (00:32:09) Pricing the OpenAI Investment (00:33:40) OpenAI and Power (00:35:26) Finding Joy in Hard Work (00:39:15) Inside View of the Tech & AI Landscape (00:42:28) Three Investment Categories Thrive is Focused On (00:44:37) Thrive Holdings: Inside-Out Disruption (00:48:54) Competition in Venture (00:50:49) Sponsors (00:51:48) Thrive's Immutable Values (00:54:21) A Family Story of Survival (00:56:43) The American Dream (00:58:03) What Artists Can Teach Investors (01:00:26) Never Compromise Your Values (01:01:33) The Story Behind Josh's Forever Watch

On episode 452 of Animal Spirits, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Michael Batnick⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ben Carlson⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ discuss the software apocalypse, stock market blow-ups, AI fear-mongering, how AI will impact your job, in defense of SaaS, the ex-US trade is working, a bull market in Japan, Gen Z loves the stock market, prediction markets, a takedown of The Millionaire Next Door, middle-aged dad milestones and more. This episode is sponsored by Teucrium and YCharts Find out more at https://teucrium.com/agricultural-commodity-etfs Explore Hamilton Lane benchmarks on YCharts, and get 20% off your initial YCharts Professional subscription (new customers only). Sign up for The Compound newsletter and never miss out: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠thecompoundnews.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Find complete show notes on our blogs: Ben Carlson's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠A Wealth of Common Sense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Michael Batnick's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Irrelevant Investor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Feel free to shoot us an email at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠animalspirits@thecompoundnews.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with any feedback, questions, recommendations, or ideas for future topics of conversation.   Investing involves the risk of loss. This podcast is for informational purposes only and should not be or regarded as personalized investment advice or relied upon for investment decisions. Michael Batnick and Ben Carlson are employees of Ritholtz Wealth Management and may maintain positions in the securities discussed in this video. All opinions expressed by them are solely their own opinion and do not reflect the opinion of Ritholtz Wealth Management. The Compound Media, Incorporated, an affiliate of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ritholtz Wealth Management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, receives payment from various entities for advertisements in affiliated podcasts, blogs and emails. Inclusion of such advertisements does not constitute or imply endorsement, sponsorship or recommendation thereof, or any affiliation therewith, by the Content Creator or by Ritholtz Wealth Management or any of its employees. For additional advertisement disclaimers see here ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/advertising-disclaimers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Investments in securities involve the risk of loss. Any mention of a particular security and related performance data is not a recommendation to buy or sell that security. The information provided on this website (including any information that may be accessed through this website) is not directed at any investor or category of investors and is provided solely as general information. Obviously nothing on this channel should be considered as personalized financial advice or a solicitation to buy or sell any securities. See our disclosures here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/podcast-youtube-disclosures/⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Most businesses don't stall because the product is bad. They stall because the architecture can't handle scale. In Part Two of this live Scaling Online Q&A, I go deeper into the structural shifts that turn a working funnel into a scalable machine. This episode is a behind-the-scenes look at how I think through bottlenecks in real time - when webinars flop, when ad costs spike, when only 1% of visitors book a call, or when organic momentum is the only thing holding a funnel together. We talk VSL strategy, certification positioning, SaaS trials, bridge pages, continuity layers, and how to engineer predictable growth instead of riding emotional launch cycles. Key Highlights: ◼️Why certification often outsells coaching - and how to reposition your offer for career-driven buyers ◼️The difference between a Level 1 opportunity and a Level 10 opportunity (and why picking wrong caps your income) ◼️How to fix a funnel when only 1% of visitors book a call (and the exact VSL strategy I use) ◼️Why ad costs always rise over time - and how new angles and new VSLs reset your CPA ◼️How to structure SaaS webinars so prospects use the product live instead of just watching a demo ◼️How to scale paid workshops without depending on high-intensity organic pushes ◼️The real role of AI in writing, testing, and mass-producing new creative at speed This episode is about business architecture. It's about understanding that scale isn't luck - it's structure. When something stops converting, the answer isn't panic. It's new messaging, new angles, new front-end positioning, and smarter leverage. If part one was about identifying bottlenecks, part two is about redesigning the machine. ◼️If you've got a product, offer, service… or idea… I'll show you how to sell it (the RIGHT way) Register for my next event →⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://sellingonline.com/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ◼️Still don't have a funnel? ClickFunnels gives you the exact tools (and templates) to launch TODAY → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://clickfunnels.com/podcast Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Risk Reversal Podcast, Dan Nathan and Guy Adami break down the massive rotation rocking the tech sector. Why are investors dumping software darlings like Salesforce, Adobe, and Oracle while Apple hits new highs? The guys debate whether the "AI tailwind" has officially become a headwind for SaaS companies and if the massive infrastructure spend by Microsoft and Google will ever generate a real return. After the break, Dan sits down with Jason Wilk, Founder and CEO of Dave ($DAVE). Jason shares his incredible founder journey—from a professional golf aspirant to landing Mark Cuban as a lead investor who capped his salary at $30k. They discuss how Dave is using AI-driven underwriting to disrupt JPMorgan and Wells Fargo, slashing default rates from 20% to 1%, and the future of fintech in a high-rate environment. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

On this week's show, Patrick Gray, Adam Boileau and James WIlson discuss the week's cybersecurity news. They cover: Palo Alto threat researchers want to attribute to China, but management says shush An increasing proportion of ransomware is data extortion. Is this good? Cambodia says it's going to dismantle scam compounds CISA sufferers through yet another shutdown Google Gemini's training secrets are being systematically harvested to improve other LLMs Academics assess SaaS password managers' resilience against a malicious server This episode is sponsored by SSO-firewall integration vendor Knocknoc. Chief exec Adam Pointon joins to talk about the latest in defences… which is to say Knocknoc for Solaris/Sparc and HPUX on PA-RISC?! Okay also that other little known OS… Windows. This episode is also available on Youtube. Show notes Data-only extortion grows as ransomware gangs seek better profits | Cybersecurity Dive Arctic Wolf Threat Report 2026 Exclusive: Palo Alto chose not to tie China to hacking campaign for fear of retaliation from Beijing, sources say Risky Bulletin: Cambodia promises to dismantle scam networks by April - Risky Business Media Age of the ‘scam state': how an illicit, multibillion-dollar industry has taken root in south-east Asia | Cybercrime | The Guardian Critical flaw in BeyondTrust Remote Support sees early signs of exploitation | Cybersecurity Dive CISA Navigates DHS Shutdown With Reduced Staff - SecurityWeek Kimwolf Botnet Swamps Anonymity Network I2P – Krebs on Security BADIIS to the Bone: New Insights to a Global SEO Poisoning Campaign — Elastic Security Labs Over 500,000 VKontakte accounts hijacked through malicious Chrome extensions | The Record from Recorded Future News Password managers' promise that they can't see your vaults isn't always true - Ars Technica Zero Knowledge (About) Encryption: A Comparative Security Analysis of Three Cloud-based Password Managers Google finds state-sponsored hackers use AI at 'all stages' of attack cycle | CyberScoop Google: Gemini hit with 100,000+ prompts in cloning attempt Proofpoint acquires Acuvity to tackle the security risks of agentic AI | CyberScoop Cisco Redefines Security for the Agentic Era with AI Defense Expansion and AI-Aware SASE Sophos Acquires Arco Cyber to Bring CISO-Level, Agentic AI-Powered Expertise to Every Organization Dave Kennedy on X: "Regarding this, there was a couple questions on does the pacemaker continue to advertise - most BLE implantable devices go into a sleep type mode. In this case, we are lucky - it does not. We know based on law enforcement answers that she is using a more modern pacemaker with" / X Clash Report on X: "BIG: Dutch Defence Minister Gijs Tuinman hints that software independence is possible for F-35 jets. He literally said you can “jailbreak” an F-35. When asked if Europe can modify it without US approval: “That's not the point… we'll see whether the Americans will show https://t.co/f11cGvtYsO" / X Dutch police arrest man who refused to delete confidential files shared by mistake | The Record from Recorded Future News

Anthropic drops Sonnet 4.6 with a million-token context window and major gains in computer use, coding, and agentic workflows at a dramatically lower price point—immediately reshaping the economics of OpenClaw-style agents. Meanwhile, Grok 4.2 enters public beta with a multi-agent debate system and promises rapid weekly improvement, and Apple ramps up AI wearables. In the headlines: Apple's AI glasses push, Spotify engineers stop writing code by hand, Meta commits to millions of Nvidia GPUs, Chinese AI price wars, and a possible SaaS rebound. Want to build with OpenClaw?LEARN MORE ABOUT CLAW CAMP: ⁠⁠https://campclaw.ai/⁠⁠Or for enterprises, check out: ⁠⁠https://enterpriseclaw.ai/⁠⁠Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠https://blitzy.com/⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Dans cet épisode :

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

On the podcast, I talk with Michael and Mark about the boom in hardware-enabled subscriptions, why nothing worked until they stopped optimizing and started building a better product, and how they doubled their price to $79 even though the data said they could charge more.Top Takeaways:

Is SaaS really dead? Will AI take your job next year? In this Watson Weekly Interview, Rick Watson talks with Dr. Daniel Hulme, Chief AI Officer at WPP and CEO of Satalia, to debunk the biggest myths surrounding Artificial Intelligence. From the changing architecture of software to the rise of "Economic Singularity," Dr. Hulme provides a masterclass on how businesses and individuals can navigate the rapidly evolving tech landscape.We dive deep into:The Future of SaaS: Why LLMs are amplifying—not killing—software.The WPP Open Strategy: How AI unlocked creativity and content creation at scale.Why AI Projects Fail: From "intoxicated graduate" syndrome to the trap of low-hanging fruit.The Job Market: Transitioning from economic disruption to a world of abundance and UBI.GSO (Generative Search Optimization): Move over SEO—learn how to brand your business inside the "brains" of LLMs.Whether you are a SaaS founder, a marketer, or simply curious about the future of humanity, this conversation offers a grounded, expert perspective on the AI revolution.Chapters0:00 - Introduction to Dr. Daniel Hulme2:15 - Myth: Is SaaS Dead?5:40 - The 3-Layer Architecture of Modern Software8:20 - How WPP Open uses AI for Creative & Content12:45 - 5 Reasons Your AI Initiative Will Fail18:30 - AI vs. Jobs: The Path to Economic Singularity23:10 - Universal Basic Income and the Future of Work26:50 - Introduction to Generative Search Optimization (GSO)30:00 - Closing Thoughts: Living Your "True Humanity"#AI #SaaS #FutureOfWork #WPP #MachineLearning #GenerativeAI #TechTrends

We discuss the recent market dislocation where SaaS stocks are crashing while the broader market hits all-time highs. We break down the three main fears driving the sell-off and debate which companies—like Adobe and Salesforce—are actually at risk. Finally, we share how we are handling the volatility, with Jeff buying more Shopify and Jason using a "barbell strategy" to stay sane.02:27 Housekeeping03:53 Episode Setup06:37 Three AI Threats to SaaS: 09:23 Is AI Really Different? 12:59 Stock Spotlight: Adobe18:35 The Real Issue: Moats, Stickiness, Switching Costs, and Resetting SaaS Multiples23:18 LLMs Aren't Free23:49 Why SaaS Stocks Are Selling Off25:11 Shopify vs. Toast27:06 Disruption Timelines & Valuation Reratings29:19 Earnings Season as the Reality Check31:53 Tactical Moves: Selling Puts for Margin of Safety33:02 Barbell Portfolio Strategy: Growth on One Side, Dividends on the OtherCompanies mentioned: ABNB, ADBE, ASAN, CRM, CRWD, ENPH, EPR, MNDY, MSFT, NOW, O, PYPL, SHOP, SQ, TEAM, TOST, TTDFind where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com*****************************************To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscriptedListen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube*****************************************Join our PatreonSubscribe to our portfolio on Savvy Trader

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

We are live at the A.I. Impact summit in New Delhi where Mistral CEO Arthur Mensch tells CNBC that a large proportion of enterprise software could end up heavily disrupted by artificial intelligence. German chemicals giant Bayer settles a $7.25bn litigation deal regarding of thousands of lawsuits over the roundup weedkiller. The agreement has pushed shares up by more than 7 per cent at yesterday's market close in Europe. The Reform UK party is to launch its plans for the OBR and the BoE later today but the central bank's independence is not up for discussion.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

► Hier gehts zur nächsten Episode (Meine Geschichte): https://linkly.link/2WkUE  ► Download Sales Pitch Template: https://linkly.link/2ain0  ► Sales Gym Sparring mit mir buchen: https://2ly.link/24kPi Vertrieb Verkauf im Software Sales: In dieser Episode bekommst du eine klare Pitch Struktur, mit der deine nächste Software Demo nicht wie ein Feature Feuerwerk wirkt – sondern wie ein geführter Weg von Problem zu Entscheidung. So kann ich dir im Sales helfen: zur Software Sales Formula: https://www.softwaresalesformula.com zum Sales Gym: https://www.sales-gym.io Coaching & Training anfragen: https://2ly.link/24kPi Kickscale: Extended Free Version: https://2ly.link/1zdl4 Timestamps: (00:00) Pitch Intro (01:49) Was ein Pitch NICHT ist (03:52) Ohne Discovery keine gute Demo (07:42) Pitch Psychologie (10:16) Die 3 Ziele einer starken Demo (13:40) Die Value Pyramide: So baust du den Pitch vom Kunden aus auf (18:19) Lösung: Erst jetzt über dein Produkt sprechen (23:33) Slide-für-Slide Pitch-Deck (30:31) Demo-Flow & bessere Fragen (33:36) Social Proof richtig platzieren (35:37) Next Steps & Abschluss (38:18) Wrap-up & Call to Action Infos: jiri@softwaresalesformula.com https://www.softwaresalesformula.com  https://www.sales.gym.io 

The big regulatory guns are out for Grok. Memory chip shortage now hit the Steam Deck. Manus is already coming to your favorite messaging app. Turns out Buy Now Pay Later really works for vacations. And another lengthy AI essay, this time detailing what it's doing, and has the potential to do to SaaS companies. EU privacy watchdog opens probe into Elon Musk's X over sexualised AI images (FT) Valve's Steam Deck OLED will be ‘intermittently' out of stock because of the RAM crisis (The Verge) Raspberry Pi soars 40% as CEO buys stock, AI chatter builds (Reuters) Meta-owned Manus launches AI agents on Telegram (SiliconRepublic) Airbnb expands its “Reserve Now, Pay Later” globally (TechCrunch) 10 Years Building Vertical Software: My Perspective on the Selloff (@nicbstme) Learn more about your ad choices. Visit megaphone.fm/adchoices

With the rise of cloud services and SaaS, the browser has become a primary productivity tool. It's also a primary vector for malware, phishing, identity theft, data leaks, and other risks. On today's sponsored episode with Palo Alto Networks, we dive into browser security. We discuss risks to the browser and how they differ from... Read more »

David Rothstein is the CEO and Co-founder of Newsmatics, a next-generation news technology company dedicated to transforming the way organizations collect, analyze, and distribute information. Under his leadership, Newsmatics has grown to 70 employees and launched products like EIN Presswire, which processes 175,000 press releases annually, and Perspectify, a media bias tool.  David's career spans from pioneering internet publishing in 1990s Prague to building a network of 3,900 news sites and partnering with universities on innovation hackathons. He is passionate about using technology to promote transparency, combat misinformation, and help people navigate today's news landscape. In this episode… What does it take for a news technology company to survive three decades of disruption and still lead in the age of AI? From the early days of the internet to today's data-driven landscape, the rules of media have constantly changed. How do you stay relevant while the entire industry reinvents itself? David Rothstein, a pioneer in digital publishing and news technology, explains that longevity comes from listening obsessively to the market and evolving before you are forced to. He highlights the importance of shifting business models — from advertising to subscriptions to self-serve DaaS press release distribution — based on real customer demand. That adaptability allowed the company to remain independent and consistently profitable. By leveraging a massive news index, his team expanded into affinity publishing and media bias detection tools, pairing distribution with transparency. He also emphasizes building talent from within and partnering with universities through hackathons to fuel continuous innovation. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with David Rothstein, CEO and Co-founder of Newsmatics, to discuss transforming news delivery in an AI-driven world. They explore bootstrapping through the dot-com crash, pioneering self-serve DaaS press release models, and building tools that detect media bias and propaganda. David also shares insights on fostering internal talent and staying profitable while scaling innovation.

With the rise of cloud services and SaaS, the browser has become a primary productivity tool. It's also a primary vector for malware, phishing, identity theft, data leaks, and other risks. On today's sponsored episode with Palo Alto Networks, we dive into browser security. We discuss risks to the browser and how they differ from... Read more »

Send a textIn the sixth installment of He Said, She Said on the Risk Reversal Podcast, Kristen and Jen are joined by CNBC's Dan Nathan and Guy Adami to talk century bonds, Paramount / Warner Brothers update, and the existential angst surrounding AI. The episode kicks off with a listener question about Alphabet's recent $32 billion debt issuance, including a rare 100-year sterling bond, prompting a deep dive into who issues century bonds, who actually buys them, and what locking in ultra-long-term rates signals about corporate views on term premium and fiscal risk. From there, the group pivots to an update on the Warner Bros–Paramount–Netflix saga, Finally, the crew tackles the market's rapidly shifting narrative around AI. What was once a universal tailwind for SaaS and hyperscalers now feels like a sector-wide threat, with investors “shooting first and asking questions later.” The group weigh in on productivity, unemployment fears, private market risk, and whether today's selloff in software names is a buying opportunity or a warning sign. For a 14 day FREE Trial of Macabacus, click HERE Visit https://iconnections.io/ to learn more about iConnections!Shop our Self Paced Courses: Investment Banking & Private Equity Fundamentals HEREFixed Income Sales & Trading HERE Wealthfront.com/wss. This is a paid endorsement for Wealthfront. May not reflect others' experiences. Similar outcomes not guaranteed. Wealthfront Brokerage is not a bank. Rate subject to change. Promo terms apply. If eligible for the boosted rate of 4.15% offered in connection with this promo, the boosted rate is also subject to change if base rate decreases during the 3 month promo period.The Cash Account, which is not a deposit account, is offered by Wealthfront Brokerage LLC ("Wealthfront Brokerage"), Member FINRA/SIPC. Wealthfront Brokerage is not a bank. The Annual Percentage Yield ("APY") on cash deposits as of 11/7/25, is representative, requires no minimum, and may change at any time. The APY reflects the weighted average of deposit balances at participating Program Banks, which are not allocated equally. Wealthfront Brokerage sweeps cash balances to Program Banks, where they earn the variable APY. Sources HERE.

Ian sits down with Peeyush Dubey, Chief Marketing Officer of Tech Mahindra, to unpack how he built the company's first global marketing organization. Peeyush explains his four-pillar marketing strategy (brand, demand, expand, and grand). The conversation goes deep on Tech Mahindra's Global Chess League, a bold brand experiment that has evolved into a flagship marketing, customer experience, and talent branding platform. Key Takeaways:Marketing's real job is reducing friction to sales. Everything else is in service of that goal.Brand experiments can outperform sponsorships. Building owned IP creates control, longevity, and compounding value.Innovation budgets should never be cut. Even in downturns, experimentation is non-negotiable.Episode Timestamps: *(03:34) Trust Tree: Reducing friction for sales*(22:09) The Playbook: Building a global ches league*(43:13) Quick Hits Sponsor:Pipeline Visionaries is brought to you by Qualified.com. Qualified helps you turn your website into a pipeline generation machine with PipelineAI. Engage and convert your most valuable website visitors with live chat, chatbots, meeting scheduling, intent data, and Piper, your AI SDR. Visit Qualified.com to learn more.Links:Connect with Ian on LinkedInConnect with Peeyush on LinkedInLearn more about Tech MahindraLearn more about Caspian Studios Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today, we're joined by Tim Schumacher, Co-Founder of saas.group, a conglomerate of independent SaaS businesses founded by experienced industry veterans with proven entrepreneurial, investing, and product backgrounds. We talk about:The new exit options saas.group brings to startupsGrowing small SaaS companies while preserving what's good & made them strongCharacteristics of successful startups, including lean companies with a very clear focusAdvice for SaaS founders – to sell or not to sell?The SaaS market in Europe

In this episode, Matt sits down with Greg Mehfoud, Head of Procurement at Twenty/20 Management, to unpack what really happens when you cross the line between operations and the vendor side in senior living.Greg shares what surprised him most about SaaS sales, what operators often misunderstand about vendors (and vice versa), and how procurement isn't about being sold — it's about stewardship. The conversation dives into purchasing power, relationship-driven growth, and why clarity around priorities is the missing piece in most vendor-operator conversations.If you've ever felt tension between “the dark side” and operations, this episode brings nuance, humility, and practical insight to the table.Guest Bio:Greg Mehfoud is the Head of Procurement at Twenty/20 Management, where he leads strategic purchasing and vendor partnerships across the organization's senior living communities. With experience on both the operations and SaaS vendor sides of the industry, Greg brings a rare dual perspective to procurement, sales relationships, and long-term growth strategy. He is passionate about stewardship, operational excellence, and building vendor partnerships that truly enhance resident and team member experiences.Timestamps01:35 – Pants shopping, friendship, and career pivots03:25 – Why Greg left operations for SaaS sales05:46 – The biggest surprise about being on the vendor side08:00 – Missing the impact of day-to-day operations10:41 – How vendor “wins” add up at the community level12:05 – What procurement really means (hint: it's not about being sold)14:13 – Purchasing power, stewardship, and due diligence16:00 – Calling out fluff: integrations, transparency, and hard questions18:00 – Building trust between vendors and operators20:11 – What each side misunderstands about the other23:39 – Stop stringing vendors along (and vendors, respect operator time)25:50 – Advice for anyone considering crossing sides

Fraud hasn't disappeared - it got smarter. Organized rings now aim upstream at SaaS platforms and ISVs that embed payments, where a single gap in onboarding, transaction logic, or refund flows can be scaled into thousands of attacks overnight. We sit down with Brian Rust, SVP and Deputy Chief Information Security Officer at Worldpay, to map the real fraud journey (entry, action, exit) and the concrete moves product and security leaders can make right now to protect merchants and brand trust.We start with the why: platforms offer leverage. Brian explains how bots and AI generate convincing synthetic businesses that pass weak KYC, and what early signals still break the spell - impossible form completion times, IP and address mismatches, and brand-new domains claiming long histories. From there, we dive into the middle of the kill chain: card testing. You'll hear how velocity spikes, elevated decline rates, and geo anomalies betray large-scale testing and how adaptive limits for new merchants can contain losses and prevent network penalties. Then we confront refund abuse, where attackers exploit trust by refunding to different instruments or flooding high-value returns. The fix isn't blanket friction - it's precision: refund-to-original-card only, refund velocity caps, and targeted reviews that slow bad actors while keeping good customers moving.Brian lays out the layers that matter now: device fingerprinting, behavioral analytics, and transaction monitoring that can halt suspect money movement before funds leave your orbit. He also makes the case for a fraud-cyber fusion model, aligning teams and intelligence using frameworks like MITRE ATT&CK to anticipate tactics as cyber and financial motives blend. Finally, we close with three actions you can ship this quarter: audit onboarding with bot controls and threat modeling, enforce velocity controls that adapt as trust grows, and tap your processor's data and filters (AVS, CVV) to harden defaults.If you lead product, risk, or engineering for a payments-enabled platform, this conversation gives you a practical blueprint to raise attacker costs, protect your merchants, and guard your reputation. 

In this episode, Jeff Mains sits down with Michael Ferranti, a veteran of developer tools and cloud-native infrastructure with over a decade of experience at companies like PortWorks, Teleport, and Unleash. Michael shares insights on feature management, the critical role of feature flags in modern software delivery, and how to effectively market to developers. The conversation explores why "friends don't let friends build their own feature flag system," the evolving landscape of product-led growth, and how AI is reshaping go-to-market strategies for developer tools.Key Takeaways[5:27] - The Common Thread in Category Creation[7:17] - What is Feature Management?[11:56] - The Cost of Downtime[18:28] - The Race Car Analogy[19:59] - Marketing to Developers[24:18] - User vs. Buyer[30:30] - Easy to Try is Essential[35:30] - Organic Search is Declining[36:29] - AIO (AI Optimization)[40:26] - The PLG Myth[44:17] - The AI ShiftTweetable Quotes"The thing that makes product development and success in SaaS really easy is when you have a product that solves real problems in a market that's big enough.""Friends don't let friends build their own feature flag system. You're not writing your own version of Git—feature management is no different.""Feature flags are like brakes on a race car. They don't slow you down—they let you go faster by allowing you to take turns safely and accelerate out of them.""Marketing to developers is no more complicated than marketing to dentists. People are people—they respond to emotion, logic, and pain.""The biggest objection to feature flags is that people think it's gonna slow them down, when in fact it's all about speeding them up.""If you're doing go-to-market the same way you were doing it 12 months ago, you're probably doing it wrong. Now it's six months. Now it's three months."SaaS Leadership Lessons1. Market Size Trumps Perfect Execution Even with the best product and conversion rates, growth will plateau if your addressable market isn't large enough. Evaluate market size as rigorously as you evaluate product-market fit.2. Speed Requires Safety Mechanisms The fastest-moving teams aren't reckless—they've invested in systems (like feature flags) that allow them to ship confidently and recover instantly. Build your "brakes" before you try to accelerate.3. Know Your User vs. Your Buyer Developer tools require a dual strategy: serve the hands-on-keyboard users who will love (or hate) your product, while convincing budget holders of business value. Neglect either and you'll struggle.4. Friction is the Enemy of Adoption In developer tools, the ability to try your product without a sales conversation isn't optional—it's existential. Whether through open source, free trials, or freemium models, eliminate barriers to first value.5. Proprietary Data is Your AI Moat As AI reshapes discovery, the companies that win will be those with unique data sources that LLMs cite as authoritative. Think "Zillow for home prices" in your category.6. Adaptability is the New Competitive Advantage The pace of change has accelerated to the point where strategies have a 3-6 month shelf life. Build a culture of curiosity, experimentation, and rapid learning rather...

Episode Info Wayne Slavin is the CEO and Co-Founder of Sure, a VC backed insurtech startup. Prior to Sure he was the VP of Product Management at Tapingo, TechCrunch's Most Innovative Company of 2013. His other past projects and companies include NetStumbler, a consumer app with more than 1.5 billion downloads, the Barnes & Noble Nook eBook reader, Buddy Media (now part of salesforce), and BackupRight the enterprise SaaS company he sold in 2012. He has a Masters Degree from Columbia University. You can see Wayne from his appearance on the show in April of 2024 in the final episode of Season 5. Episode Overview: SURE's Role: SURE provides the technology infrastructure and services that enable large brands, including Fortune 500 companies and major auto manufacturers, to launch and manage their own digital insurance businesses. This allows these brands to control the customer experience and build long-term, durable insurance operations. Embedded Insurance: The trend of "embedded insurance" is driven by the fact that insurance is often a necessary component of a core product (like cars or homes) or can be a friction point in a sale. Companies are recognizing the value of offering insurance directly to their customers to enhance the overall experience and capture economic benefits. The "One-Stop-Shop" Vision: Many large consumer brands aim to be a comprehensive provider for their customers, whether it's for car ownership, homeownership, or financial well-being. Insurance is a natural extension of this strategy, allowing them to create a complete ecosystem around their core offerings. Structural Advantage: Brands that already have a customer base have a significant advantage. Acquiring these customers for insurance purposes costs them next to nothing, giving them better economics than external insurance providers. Evolution of SURE: Over the past year, SURE has focused on helping its partners achieve "permanence" in their insurance offerings. This means enabling them to build stable, long-term insurance programs that are not subject to the fluctuating appetites or market conditions of traditional insurers. Challenges for Traditional Insurers: The existing insurance industry has had ample opportunity to improve its technology and customer experience but has largely failed to do so. This has created an opening for new models. The "Build vs. Buy" Dilemma: While some companies attempt to build their own insurance carriers, this is capital-intensive and distracts from their core business. Partnering with a third-party carrier often results in a loss of control over customer experience and technology, leading to suboptimal outcomes. SURE's Sweet Spot: SURE offers a middle ground, enabling brands to have their own differentiated insurance programs with control and economic upside without the need to become full-fledged insurers or rely on inadequate partnerships with traditional carriers. Speed to Market: SURE can bring partners to market with approved insurance products in as little as 90 days, or even faster for simpler offerings, demonstrating a significant advantage over the lengthy internal development times typical for such initiatives. Industry Inertia: The insurance industry often suffers from a lack of incentive for long-term growth and innovation. Decisions are often based on avoiding blame (omission vs. commission) rather than proactively pursuing new opportunities. This makes it difficult for established players to adapt to new models. The Future of Insurance Distribution: The future will likely involve insurance being more deeply integrated into the customer journey, moving away from discrete purchases and towards seamless, embedded solutions. The current models of comparison engines and traditional carrier partnerships are becoming less relevant. Investor Appetite: There is a significant appetite from investors like private equity and sovereign wealth funds for insurance-like returns, especially for well-defined, scalable programs that leverage existing customer bases. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.

In this episode, we're joined by Maryam Ashoori, VP of Product and Engineering at IBM's Watsonx platform. With a background that includes 2 master's degrees in AI, a PhD in Systems Design Engineering, and named on over 30 patents at IBM, she's been on the bleeding edge for over a decade. Currently leading the charge on Agentic AI and AI Governance at IBM, Maryam is a bridge between the theoretical frontier of AI and the messy reality of enterprise deployment. In this episode, Maryam: Tells why AI has been stuck in pilot purgatory for longer than expected, and what you need to do today for a successful enterprise deployment Calls shenanigans on the “biggest, best model” crowd, and why often a smaller, more focused tool is the right choice Explains how to build an agnostic architecture that can handle the realities of an AI world where models advance faster than anybody can keep up Links LinkedIn: https://www.linkedin.com/in/mashoori/ IBM: https://www.ibm.com/us-en Resources Reinventing SaaS: Zuora's AI Transformation | Karthik Chakkarapani and Shakir Karim (Zuora): https://www.youtube.com/watch?v=gHVxnLikMpQ Linear's Secret to Building Powerful AI Products | Nan Yu, Head of Product (Linear): https://www.youtube.com/watch?v=27rGB-6XQJg Chapters 00:00 Intro 02:18 From ChatGPT hype to enterprise reality: use cases, ROI, and the rise of agents 06:11 Security, accountability & governance: who's responsible when agents go wrong? 10:37 Risk-based rollout: use-case scoping, Risk Atlas, and guardrails like PII detection 17:10 Observability for agentic workflows 18:21 Why compute optimization matters 22:58 Designing for model agility: abstraction layers, routing, and picking the right model 27:23 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.Special Guest: Maryam Ashoori.

Listening is the most underrated sales skill because it's the one that actually tells you what the buyer is thinking, not what you wish they were thinking.  Most salespeople believe they listen well, but in real conversations—especially under pressure—we drift into habits that feel like listening while we're actually rehearsing our next line. In Japan, in the US, in Europe—whether you're selling to an SME, a startup, or a multinational—buyers can feel when you're not fully present. Are you really listening to the buyer—or just waiting to talk? Most salespeople aren't listening; they're mentally queuing up their next point, and the buyer can hear the delay. This shows up in every market: a SaaS rep in San Francisco, a relationship banker in London, or an account manager in Tokyo can look attentive while their mind is sprinting ahead. The trigger is usually one "important" phrase—budget, competitor, timing—then your attention snaps away from the buyer and into your internal monologue. You're still hearing, but you're not taking in. That gap matters because buyers don't only communicate in words. In executive-level meetings at firms like Toyota or Rakuten, meaning often sits inside tone, pace, hesitations, and what goes unsaid. Post-pandemic, with more hybrid calls on Zoom or Teams, these cues are easier to miss—unless you deliberately train for them. Do now: Treat every buyer conversation like a live intelligence feed: if you're writing your reply in your head, you've stopped listening. What are the five levels of listening in sales? There are five levels—Ignore, Pretend, Selective, Attentive, and Empathetic—and most sales calls hover around levels 2 or 3.  Ignore doesn't mean staring at your phone; it can mean being hijacked by your own thoughts the moment the buyer says something provocative. Pretend looks like nodding, eye contact, "mm-hmm"—but your brain is busy building the pitch. Selective listening is the killer in modern B2B: you filter for "yes/no" buying signals, but you miss the conditions attached to them (timeline, stakeholders, risk concerns). Attentive listening is full-focus: no interruptions, no filtering, paraphrasing to confirm. Empathetic listening goes further—eyes and ears—reading what's behind the words and "meeting the buyer in the conversation going on in their mind." That's as relevant in procurement-heavy Japan as it is in fast-moving US sales teams. Do now: Identify which level you default to under pressure—and train upward, not sideways. What does "ignoring the client" look like if you're still in the room? You can "ignore" a buyer while looking directly at them—by following your own thoughts instead of their words. This is common when the client says something that sparks urgency: "We're also talking to your competitor," "Budget is tight," "We need this by Q2." The moment you latch onto that, the rest of what they say fades into the mist because you're fixated on the counterpoint you must deliver. In enterprise sales, this is where deals quietly die: you respond to the wrong problem, at the wrong depth, to the wrong stakeholder. In Japan, where meaning can be indirect and consensus-based, this is riskier—what's not said can be the real message. In Australia, where communication is often more direct, you can still miss the nuance in tone—especially in remote calls where you're juggling slides, notes, and chat. Do now: When you feel triggered, pause and mentally label it: "That's my ego talking—back to the buyer." Why do salespeople "pretend" to listen—and how can you spot it? Pretend listening happens when your body language says "I'm with you" but your mind is already pitching, defending, or debating.  You nod. You lean in. You look professional. But internally you're preparing the product dump, building the objection-handling case, or rehearsing the "killer story." It's the classic "lights are on, but you're not home" dynamic—common across industries like consulting, insurance, tech, and professional services. The modern version is worse: you're also glancing at CRM notes, Slack messages, or the next meeting timer. Buyers notice because your responses don't quite match what they said. You answer a question they didn't ask, or you jump too early. In negotiation-heavy environments (Japan, Germany, regulated sectors), this reads as disrespect. In faster markets (US startups), it reads as shallow. Do now: After the buyer speaks, summarise in one sentence before you respond with anything else. Is "selective listening" efficient—or does it sabotage sales outcomes? Selective listening is efficient for hearing buying signals, but it often sabotages effectiveness by skipping the context that makes the "yes" or "no" meaningful.  Salespeople are trained to hunt for signals: interest, hesitation, resistance. But if you only listen for yes/no, you miss the conditions attached—like internal politics, compliance concerns, implementation capacity, or fear of change. You also jump the gun: you hear the "no" early and start crafting your rebuttal while the buyer is still explaining why. The Japan example is instructive: because the verb often arrives at the end of the sentence, you're forced to hear the whole thought before reacting. In English, you can start manufacturing your reply mid-sentence, which feels fast but can be sloppy. Across APAC, where indirectness can be a politeness strategy, selective listening becomes a deal-killer because the meaning sits in the qualifiers. Do now: Don't respond to the first "yes/no." Wait for the full sentence—then ask one clarifying question. What's the difference between attentive listening and empathetic listening—and which closes deals? Attentive listening makes you accurate; empathetic listening makes you influential because it reveals what the buyer is really protecting.  Attentive listening is full presence: you don't interrupt, you don't filter, you paraphrase to confirm understanding. This alone differentiates you in any market—Japan, the US, Europe—because most professionals are distracted. Empathetic listening is the next level: you listen with your eyes and ears, tracking tone, body language, and what isn't being said. You sense anxiety behind a budget objection, or politics behind a "we'll think about it." You aim to "meet the buyer in the conversation going on in their mind," which is exactly what executive-level selling requires. In leadership cultures where saving face matters (Japan, parts of Asia), empathy helps you surface concerns safely. In direct cultures (Australia, US), empathy helps you avoid brute-force pitching and instead guide the decision. Do now: Paraphrase the facts, then reflect the feeling: "It sounds like timing isn't the only concern here." Conclusion If you want to sell more, stop trying to be more persuasive and start trying to be more present. The five levels of listening are a diagnostic tool: most salespeople drift between Pretend and Selective because their brain is busy performing. Attentive listening earns trust. Empathetic listening uncovers truth. And the fastest way to improve your buyer conversations is to practise listening where it's hardest—at home, with people who don't have to pay you to stay polite. Author credentials Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results.  He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー).  Greg also publishes daily business insights on LinkedIn, Facebook, and Twitter, and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews, which are widely followed by executives seeking success strategies in Japan. 

Many SaaS businesses lose 5%–9% of revenue to failed payments yet they classify it as product churn instead of a billing system problem. In conversations with guest founders like Roman...

Sebastian Siemiatkowski is the co-founder and CEO of Klarna, the global digital bank with over 114 million global active users and 3.4 million transactions per day. Seb is one of the leading public company CEOs pushing the boundaries of AI.  AGENDA: 04:50 — The Real Threat to SaaS is The Switching Cost Coming Down 05:57 — What revenue multiple will software companies trade at in the future? 14:12 — Why you need to build your own customer service AI to win 23:51 — Klarna has two times the customer base of Revolut. They will beat Revolut 25:39 — How I lost a billion dollars not investing in Nubank 30:57 — Why Nubank are more likely to win the US than Revolut? 34:28 — We used to be 6,000 people. Now we are just 3,000 39:58 — When is a high valuation too high and can be dangerous? 42:45 — How we got Sequoia to invest and Michael Moritz to join the board 53:14 — If you are an investor today that is not building then you're at a fundamental disadvantage 01:11:43 — I have changed my mind on the adoption cycle... I think it will take longer than people think 20VC: Is SaaS Dead: Klarna Replaces 1,500 Internal SaaS Products | Why Systems of Record Will Die in an Agentic World | What Revenue Multiple Will Software Companies Trade At? | From 7,000 to 3,000: We Need Less People Than Ever with Sebastian Siemiatkowski

I sit down with Frey Chu to go deep on how to use Claude Code to build AI-coded directories, specifically how to tackle the hardest part: getting valuable data. Frey walks us through three real-world directory examples (a funeral home directory, a senior living directory, and GasBuddy), we play a game guessing their traffic and monetization, and then he does a full live walkthrough of the seven-step process he used to build a luxury restroom trailer directory in four days for under $250. I also ask him about the future of directories in a world where LLMs are changing how people search. Timestamps 00:00 – Intro 02:15 – What you'll learn 03:00 – Directory Game:Parting(Funeral Home Directory) 05:42 – Directory Game: A Place for Mom (Senior Living Directory) 08:00 – Directory Game: GasBuddy (Crowdsourced Gas Price Directory) 12:32 – The Data Moat Thesis 14:02 – Luxury Restroom Trailers: The Niche Directory Demo 15:52 – Before & After: WordPress Directory vs. Claude Code Directory 19:04 – Cost Breakdown: Built in 4 Days for Under $250 21:23 – Step 1: Scraping Raw Data with Outscraper 22:25 – Step 2: Cleaning Data with Claude Code 23:27 – Step 3: Using Crawl4AI for Automated Website Verification 28:01 – Step 4: Enriching Trailer Inventory Data 31:33 – Step 5: Scraping & Verifying Images with Claude Vision 36:33 – Step 6: Amenities, Features & Filter Data 38:31 – Step 7: Service Areas 39:15 – Niche Directory Ideas: Dementia Care, ADA Bathrooms, Tap Water Quality 43:38 – For Naysayers: Is Building a Directory Worth It in 2026? 47:51 – LLMs, AI Search & the Future of Directories Links Mentioned: Outscraper: https://startup-ideas-pod.link/outscraper Crawl4AI: https://startup-ideas-pod.link/crawl4AI Key Points Data is the moat for any successful directory — and with Claude Code plus Crawl4AI, the hardest part (data cleaning and enrichment) is now dramatically faster and cheaper. Every successful directory helps people save time, save money, or make money — and price transparency is a massive, underserved opportunity across boring niches. Frey built a fully enriched luxury restroom trailer directory in four days for under $250, a process that would have taken 2,000+ hours of manual work. Monetization depends on the niche: lead generation, vertical SaaS, agency services, ads, debit cards, affiliate, and marketplace models all work. Directories remain strong in an AI search world because users browsing a directory are in the decision-making phase, especially in high-stakes niches like health, legal, finance, and senior living. Building a directory is one of the best playgrounds to learn Claude Code, SEO, and lead generation — even if the first one is just a learning exercise. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND FREY ON SOCIAL X/Twitter: https://x.com/freychu YouTube: https://www.youtube.com/@FreyChu/featured ShipYourDirectory: https://www.shipyourdirectory.com/

In this episode of Make It Happen Mondays, John sits down with Saif Khan, Regional VP of EMEA and APAC at Semrush, one of the top SaaS platforms helping digital marketers drive visibility, traffic, and growth. But this episode isn't just about tools or tactics—it's about the real human side of sales leadership.From growing up in a council estate in West London to building elite sales teams across two continents, Saif shares how a single ride-along with his uncle sparked his lifelong passion for sales. He breaks down how five years in retail taught him more about buyer psychology than any formal sales training ever could—and why emotional intelligence, not just methodology, is the real differentiator in today's market.The conversation dives into:• How burnout creeps in even during “success”• Why Saif hit pause on his career for a solo journey through Southeast Asia• The coaching crisis in frontline management• The line between AI augmentation and AI dependency—and what it means for the future of leadership.Whether you're an SDR, a VP, or somewhere in between, this episode is packed with real stories, fresh takes, and valuable lessons for anyone navigating the evolving world of modern sales.Are you interested in leveling up your sales skills and staying relevant in today's AI-driven landscape? Visit www.jbarrows.com and let's Make It Happen together!Connect with John on LinkedIn: https://www.linkedin.com/in/johnbarrows/Connect with John on IG: https://www.instagram.com/johnmbarrows/Check out John's Membership: https://go.jbarrows.com/pages/individual-membership?ref=3edab1 Join John's Newsletter: https://www.jbarrows.com/newsletterConnect with Saif on LinkedIn: https://www.linkedin.com/in/saif-khan-cism/Check out Saif's Website Semrush: https://www.semrush.com/Check out these additional links for SemrushEmployment Opportunities: https://careers.semrush.com/jobs/Apple Podcast: https://podcasts.apple.com/es/podcast/technically-her/id1871241654?l=en-GBSpotify: https://open.spotify.com/show/7nBfeFVia9d7ClK7CVOBcV?si=9ef5467e40644435Instagram: https://www.instagram.com/semrush_life/#Youtube: https://www.youtube.com/@SemrushLifeLinkedIn:

Simon and Braden reunite for a throwback 1-on-1 to break down what’s behind the recent “SaaS apocalypse.” They discuss why AI uncertainty is crushing software multiples, how coding agents could reduce seat counts, and where value capture might shift next (subscriptions vs. usage-based and hybrid pricing). They also separate the real risks (in-house tools at large enterprises, margin pressure from AI features) from the overhyped ones (easy competition without distribution). The episode wraps with a candid check-in on Constellation Software’s selloff and what they’re watching going forward. Tickers of stocks discussed: CSU.TO, ADSK, MSFT, CRM, ACN, DSG, LSPD.TO, SHOP.TO, MNDY Subscribe to our Our New Youtube Channel! 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.

In this episode of the Investor Fuel podcast, host Olivia interviews Daniel Turro, a seasoned real estate investor and developer of a unique SaaS platform designed for real estate analysis. Daniel shares his journey in the industry, the challenges he faced in building his platform, and the importance of networking and maintaining relationships. He discusses the innovative features of his platform that set it apart from others in the market and emphasizes the significance of staying positive and adaptable in a fluctuating market. The conversation concludes with Daniel's insights on future goals and the value of community in real estate investing.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

This episode covers multiple active threats and security changes. It warns of an actively exploited critical BeyondTrust remote access vulnerability (CVE-2026-1731, CVSS 9.9) enabling pre-authentication remote code execution in Remote Support and Privileged Remote Access, noting SaaS was patched while on-prem deployments require urgent manual updates and may already be compromised. Microsoft details an evolution of the ClickFix social engineering technique where victims are tricked into running NSLookup commands that use attacker-controlled DNS responses as a malware staging channel, leading to payload delivery (including a Python-based RAT) and persistence via startup shortcuts, alongside increased Lumma Stealer activity.  Cybersecurity Today  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale.  You can find them at Meter.com/cst Researchers also report Mac-focused campaigns abusing AI-generated content and malicious search ads to push copy-paste terminal commands that install an info stealer (MaxSync) targeting Keychain, browsers, and crypto wallets. T The show describes fake recruiter campaigns targeting developers with coding tests containing malicious dependencies on repositories like NPM and PyPI, linked to the "Gala" operation and nearly 200 packages. Finally, it reviews NPM's authentication overhaul after a supply-chain worm incident—revoking classic long-lived tokens, moving to short-lived session credentials, encouraging MFA and OIDC trusted publishing—while noting remaining risks such as MFA phishing, non-mandatory MFA for unpublish, and the continued ability to create long-lived tokens. 00:00 Sponsor: Meter + Today's Cybersecurity Headlines 00:48 Urgent Patch: BeyondTrust Remote Access RCE (CVE-2026-1731) Actively Exploited 02:45 ClickFix Evolves: DNS Lookups (nslookup) Used as Malware Staging 04:34 Mac Malware via AI Search Results: Fake Terminal Commands Deliver Info-Stealer 06:08 Fake Recruiters, Real Malware: Coding Tests Poison Dev Environments 07:19 NPM Security Overhaul After Supply-Chain Worm—What's Better, What Still Risks 09:11 Wrap-Up, Thanks, and Sponsor Message

Cheryl Platz, Cheryl Platz, former UX Director for Riot Games, Scopely and Author of "The Game Development Strategy Guide," returns to The Product Experience to explore how video game design principles can transform product development. From her time at Riot Games and Marvel Strike Force to teaching at Carnegie Mellon, Cheryl shares hard-won lessons about player motivation, onboarding, and building products that thrive. Discover why competition is no longer the primary driver of modern gaming, how a children's game taught her about gendered design assumptions, and how she turned a catastrophic server outage into a UX win that made Reddit happy.Chapters06:03 Game development is cloud services plus filmmaking07:08 The problem with silos in game studios08:24 “Modern” games: live service, messy business models, shifting tastes09:58 Defining a game: players decide if you got it right11:41 Motivators of play and why they matter to product people12:26 Disney Friends: the moment a playtest rewrote the design17:19 Classic vs modern motivators: what technology changed20:41 The research that challenged the “games are competition” assumption22:36 Why game lessons translate to enterprise software (and where gamification goes wrong)25:19 Pro-social design: trust, safety and communities at scale28:33 Designing for companionship and shared experiences34:43 Onboarding as growth strategy, not a “nice to have”37:38 Journey mapping 100 levels: making invisible drop-off visible39:25 On-demand learning beats one-and-done tutorials41:58 Advice for people trying to break into games during layoffs44:36 Turning a sixth anniversary outage into a UX win Our 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.

AI investment is accelerating at historic levels, but so are the questions. From trillion-dollar semiconductor forecasts and 100-year bonds to the debate over AI's impact on jobs, Ep. 292 explores whether we are witnessing a sustainable transformation or a systemic shock.   The handpicked topics for this week are: $650B+ AI CapEx Surge and the Bubble Debate: Hyperscalers are dramatically increasing infrastructure investment, raising questions about near-term returns versus long-term survival. Is this a bubble, or is it the cost of staying relevant in the AI era? Anthropic's Valuation, AI Acceleration, and Regulatory Pressure: Private market enthusiasm continues as Anthropic's valuation climbs and CEO Dario Amodei sounds alarms about AI's pace and societal readiness. At the same time, regulatory funding and lobbying activity intensify. AI and Job Displacement: The "All At Once" Flip Debate: A viral essay argues AI could upend white-collar work within years. The hosts debate whether integration, friction and regulatory industries will slow disruption, or whether society is underestimating the speed of change. The SaaS Rerating and Software Model Reset: With AI agents building workflows and coding environments evolving rapidly, markets are reassessing SaaS multiples. Is this a temporary repricing or a permanent structural shift? AI Infrastructure Financing: Alphabet's 100-Year Bond: The company's $31B debt raise, including a century bond tranche, signals long-term conviction in its infrastructure build-out. Demand has reportedly exceeded supply by multiples. Semiconductor Expansion and the Trillion-Dollar Forecast: Applied Materials highlights accelerating semi-cap demand, reinforcing projections that semiconductor spending could approach $1 trillion faster than previously expected. Energy and Data Center Constraints: As compute scales, power becomes the gating factor. Energy-linked data center plays are emerging as strategic infrastructure enablers.  Be sure to subscribe to The Six Five Pod so you never miss an episode.

Is AI eating the software industry, or is it just making it more powerful?In this episode, we sit down with Braden Dennis, CEO and co-founder of Fiscal.ai, to discuss the shift happening in enterprise SaaS. If you've watched our videos, you know we use Fiscal's charts every single day to analyze the markets, so it was great to get Braden's perspective on where the industry is headed.We dive deep into the software apocalypse narrative and whether it's based in reality or just a market overreaction. Braden explains why maintaining software is getting easier, how his engineering team has achieved 10x productivity, and why internal AI solutions are coming for the "busy work" that off-the-shelf SaaS can't solve.Join us on Discord with Semiconductor Insider, sign up on our website: www.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formChapters:0:00 – Is AI Eating Software? 1:12 – Meet Braden Dennis, CEO of Fiscal.ai 1:45 – Why Software Engineering Has Changed Completely 2:40 – 2026 Outlook: Opportunities vs. Traps 3:30 – What Software is Becoming Obsolete? 4:30 – Automating the "Unsolvable" Internal Busy Work 5:15 – "Intelligence in the Sky": A New Data Layer 6:10 – Pricing Power Debate: Will Clients Pay Less? 7:45 – Broadcom & VMware Case Study8:55 – Comparing the Software Correction to 2018 Semiconductors 11:45 – Lessons on Market Cyclicality 13:55 – The Problem with Late-Stage Venture Capital 16:00 – Why We Need More Tech IPOs 18:10 – The Incentive for Founders to Stay Private 20:00 – Evaluating Figma and Adobe in the AI Age21:30 – ServiceNow: Narrative vs. Financial Reality 22:45 – Final Verdict: Being Selective in a Sell-offIf you found this video useful, please make sure to like and subscribe!*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. #AI #SaaS #SoftwareStocks #Investing #ChipStockInvestor #FiscalAI #TechInvesting #ServiceNow #stockmarket2026 Nick and Kasey own shares of Adobe, Figma, ServiceNow

What does it really take to scale a startup when early traction turns into real momentum? In this episode of 10 Minute Tech Talks, Jonathan Kersting of the Pittsburgh Technology Council and TechVibe Radio breaks down a powerful segment from his TechVibe interview with Wendy McSparren and John Mihalik, co-founders of Admirra, a fast-growing mental health technology startup. You'll learn how they: Scaled from early customers to national growth Built a strong startup team without losing focus Kept their SaaS product simple and competitive Used customer feedback to guide development Prepared their company and infrastructure for long-term success This episode is packed with practical insights for entrepreneurs, startup founders, and business leaders who want to grow smarter, not just faster. After listening, check out the full TechVibe interview to hear Wendy and John's complete story, including their origin, partnership, and mission to expand access to mental health care through technology. If you're building, scaling, or planning your next move, this episode is for you. Subscribe, follow, and keep learning with 10 Minute Tech Talks.

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Drop us a message!In this episode, we're joined by Sharon Gwati, Demand Generation Manager at Agilio Software, to explore how data storytelling can transform the way marketers design and optimise customer journeys. Drawing on insights from her BrightonSEO talk, Sharon explains how principles from hip hop, rhythm, and flow can help marketers rethink how owned data is structured and used.We unpack the most common mistakes brands make with owned data, why dashboards alone don't create clarity, and how narrative thinking leads to smoother, higher-converting SaaS customer journeys. Sharon also shares lessons from working with global brands and fast-moving SaaS teams, revealing how data can genuinely shape customer behaviour when used with intent.Plus, we're also speaking to Michelle Jay, Head of Social at Giraffe Social, to get her thoughts on why trust remains one of the most powerful (and hardest to measure) drivers of engagement, conversion, and long-term loyalty. We explore how marketers can build and protect trust in social-first, highly visible environments.Want to be featured on the pod? Drop us a voice note on Instagram at @GiraffeSM. About Giraffe Social's Social in 10 Podcast Giraffe Social is a multi-disciplined digital marketing agency specialising in social media marketing based on the South Coast of the United Kingdom. We work with a wide range of industries, spanning from Fintech and L&D, to Beauty and Retail. Social in 10 is a weekly podcast about all things digital marketing. We discuss all the things social media managers want to know, including the latest platform updates, emerging trends, campaign ideas, and best practices to help you stay ahead of the curve. Whether you're managing multiple clients or growing your brand in-house, each episode is packed with actionable insights… all delivered in under ten minutes. Hosted by the Giraffe Social team, this is your fast, fun, no-fluff guide to making sense of social. New episodes every week, so tune in and level up your marketing game!

This week's episode features a fascinating conversation with Melissa Collett, CEO of Insurtech UK — the only trade association dedicated to representing the UK's thriving Insurtech sector.Since starting in 2018, Insurtech UK has grown from 30 to over 150 member companies, working alongside 50 partners and insurers to advocate for and connect the entire insurance value chain. Melissa brings a deep understanding of where the sector has come from, and where it's heading.In this episode, Alex and Melissa explore:

Timestamps: 03:06 - How the AI Boom is pushing energy back to the top of the agenda10:34 - Impact of new Funds on Founders35:22 - Startup Agenda Switzerland: Key Challenges49:14 - Prioritizing Startup Needs in SwitzerlandThis episode was co-produced with ⁠⁠Swiss Startup Days⁠⁠, the leading Swiss deep-tech catalyst event for startups, investors, enablers, and corporates.Checkout Newcomers - the ultimate pitching format for pre-seed and seed startups in Switzerland. Applications open in December 2025.Episode Summary:In this Febuary Swisspreneur Briefing, we go live with ⁠Sophie Lamparter⁠ (Founder & Managing Partner at ⁠VitaminºC⁠) and ⁠Laurent Decrue⁠ (Co-Founder & Co-CEO of ⁠Holycode⁠) to break down what's moving and shaking in the Swiss startup ecosystem in the last month -  from funding and liquidity to what founders should read between the headlines.This episode dives into three founder-relevant themes. First, the Swiss Venture Capital Report: funding is stabilising: but is CHF 2.95B remotely enough if we want global relevance? Second, AI's real impact on startups: cheaper building, higher expectations, longer bootstrapping, and bigger later rounds. Third, structural competitiveness: why capital, speed, and investor density matter more than celebratory rankings — and why Switzerland still struggles to fund late-stage ambition.We also go deeper into the nuances: the tension between hype cycle and fundamental shift in AI, why SaaS public market corrections signal changing assumptions - not collapse - and what a “Startup AG” could mean for Switzerland. From pension funds allocating to venture, taxation misalignment, to why the Delaware C-Corp still beats the AG in ease of setup, this conversation is less about criticism and more about unrealised potential. The takeaway: Switzerland doesn't lack talent or capital - it lacks structural urgency.The cover portrait was edited by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.smartportrait.io⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.‍Don't forget to give us a follow on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Youtube ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠so you can always stay up to date with our latest initiatives. That way, there's no excuse for missing out on live shows, weekly giveaways or founders' dinners.

Links & ResourcesFollow us on social media for updates: ⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠Check out our recommended tool: ⁠⁠⁠⁠⁠⁠⁠⁠Prop Stream⁠⁠⁠⁠⁠⁠⁠⁠Thank you for listening!

Today's minisode features Carlos Delatorre as he shares two hard-earned leadership lessons that every sales leader scaling an organization needs to hear. He reflects on an early moment in his career when he learned the difference between being a top-performing rep and becoming a true manager, and why doing the work for your team might feel helpful in the moment but ultimately breaks scale. If you're a manager trying to transition into leadership, or a CRO navigating rapid growth and wondering whether your leadership bench is ready to scale, this clip is for you. Carlos Delatorre is a seasoned sales leader with over 25 years of enterprise software and SaaS experience. He has served as CRO at MongoDB (driving 100%+ annual revenue growth), TripActions/Navan, and ClearSlide, and as CEO of Vera. Carlos is also an active investor and advisor to high-growth software companies including Starburst, Outreach, and Modern Treasury, and serves on the board of Yalo.Connect with Carlos:LinkedIn Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

AI is no longer just a tool — it's becoming a business operator. In this episode of Right About Now, Ryan Alford talks with Ethan Ouyang, Head of U.S. Operations at DeepWisdom, about the rise of agentic AI and how their platform Atoms enables anyone to build revenue-ready products without writing code or managing teams. Ethan explains how Atoms differs from traditional AI tools by running a full autonomous decision loop — from market research and planning to execution, launch, and SEO-driven monetization. The discussion covers real-world use cases including DTC brands, SaaS products, internal tools, and small-business systems. Topics Covered: What agentic AI actually means Why most AI tools stop at tasks — and Atoms doesn't How AI coordinates multiple agents autonomously Building MVPs without engineering teams Human judgment vs AI execution Cost efficiency through open-source models Who this technology is really for This episode breaks down why the barrier to building businesses has fundamentally changed — and what that means for founders willing to adapt. Sponsors Are you interested in effortlessly growing your bitcoin portfolio?  ↳Gemini Crypto – https://www.gemini.com/card?utm_source=podcast&utm_medium=audio&utm_campaign=right_about_now&utm_content=host_read&_bhlid=160d7f4fc923d552d3acfd8e1b631d57799c5196