Podcasts about CTO

David Beitel is the co-founder and Chief Technology Officer of Zillow. David was previously the CTO and one of the earliest team members of Expedia. David joins Adam to share his journey and his best lessons learned along the way. David and Adam discuss a wide range of topics: leadership, leading remotely, how leaders can leverage AI, how technical contributors can develop soft skills and as leaders, career success, product development, and more.

The Big Unlock · Aditya Bansod, CTO & Co-Founder, Luma Health In this episode, Aditya Bansod, CTO and Co-Founder of Luma Health, about why healthcare AI often underdelivers — and what leaders must do to turn promise into performance. Aditya argues that AI's challenge in healthcare isn't ambition, but execution. While new tools are emerging rapidly, most remain point solutions that fail to integrate into the complex workflows that move patients from scheduling to care delivery. True impact, he says, depends on orchestrating the “last mile” of healthcare, referrals, intake, documentation, and the countless operational handoffs that determine whether care actually happens. He shares how Luma approaches AI adoption with flexible guardrails, allowing health systems to calibrate automation based on confidence thresholds and maturity. The conversation also explores the rise of agentic AI, the tension between human-in-the-loop oversight and autonomy, and why CIOs are navigating a messy but necessary consolidation phase. Looking ahead, Aditya is optimistic that AI will transform patient access and engagement, only if it's deeply embedded into workflows, not layered on top of them. Take a listen.

When Dave Mabe backtested his strategy, it outperformed his own discretionary trading — and changed how he approached everything. In this episode, we discuss gapping breakouts, expectancy, systematic trading, drawdowns, and the reality gap between backtests and live execution. A practical conversation for traders serious about building durable edge. In this episode, we explore: ·        How Dave got introduced to markets: From early exposure to investing through his family to actively seeking more control over his capital and moving from swing trading into day trading. ·        Why rules matter: The transition from discretionary decisions to systematic frameworks — and why trading without a process is a fast path to inconsistency. ·        Backtesting as a “superpower”: What backtesting really does for strategy development and confidence in your edge. ·        Reconciling backtests with real life: Practical realities of execution, slippage, and market structure — and how to build a feedback loop so your live results get closer to your imulations. ·        Drawdowns and mindset: How to handle periods where a strategy doesn't behave as expected, and why many traders quit in drawdowns rather than at all-time highs. ·        Scaling a trading business: The difference between scaling size versus scaling breadth — and why uncorrelated strategies matter. ·        Practical first step for systematic traders: How to start adding structure to your trading with backtesting, even if you're not a programmer.   About the guest:   Dave has been a professional trader and technologist for over two decades. As a former CTO of Trade-Ideas, he has unique experience at the intersection of algorithm design, real-time market data, and automated execution. Outside trading, he writes a popular daily newsletter on backtesting and systematic strategy development, and hosts the Line Your Own Pockets podcast focused on systematic approaches to markets. Links + Resources: · Link to Better Backtesting —Dave's free multi-day email course on building strategies and improving them over time. · Trade-Ideas, Amibroker, RealTest — examples of backtesting and strategy development platforms discussed in context.   Sponsor of Chat With Traders Podcast:  Trade The Pool:  http://www.tradethepool.com Time Stamps: Please note: Exact times will vary depending on current ads. 00:00 Intro and Background 08:29 Stock Selection and Systematic Trading Rules 11:32   Position Sizing, Expectancy and Risk Management 16:50   Discovering Backtesting and First Backtests 18:40   Backtesting Principles, Sample Size and Common Pitfalls 20:34   Gradual Automation and Live Trading Implementation 22:17   Trading Journal and Reconciling Backtest vs Live 27:27   Scaling through Automation: More Trades, Better Results 29:26   Drawdowns, Psychology and Handling Setbacks 34:14   Tools, AI and Software for Backtesting and Coding 39:56   Common Trading Myths Debunked (Partials, Stops) 48:01   Getting Started: Practical Steps, Resources and Closing   Trading Disclaimer:   Trading in the financial markets involves a risk of loss. Podcast episodes and other content produced by Chat With Traders are for informational or educational purposes only and do not constitute trading or investment recommendations or advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Startup journeys are rarely clean. In this episode, Brandon shares the behind-the-scenes story of hiring the wrong CTO twice, discovering betrayal at the worst possible moment, and betting everything on a third leader with a 90-day rebuild plan. You'll hear how Seamless survived by moving 1,000 paying customers to manual services just to stay alive, why leadership resilience matters more than perfect hiring, and the real lesson: mistakes are inevitable — survival and courage are optional. This episode is about grit, trust, and the moments that determine whether your company dies… or scales.

Chaque mois, plus de 30 millions de Français passent par leboncoin. Pour chercher un appart, vendre un canapé, acheter une voiture... Simple, fluide, intuitif : on clique, on poste, on vend, on achète... Et ça marche. Mais derrière cette apparente simplicité se cache l'une des machines e-commerce les plus complexes de France.Dans cet épisode, Laurent Kretz reçoit Julien Jouhault, CTO de leboncoin, accompagné de Kévin Couvet, CTO de Cosa. Ensemble, ils parlent de ce qu'il se passe derrière l'écran : comment faire évoluer une plateforme utilisée par plus d'un Français sur deux chaque mois ? Comment l'IA s'invite dans les parcours, la recherche, le dépôt d'annonces ou la modération ? Et comment on optimise en continu le pricing et la performance du produit ? 00:00:00 - Introduction00:03:12 - leboncoin : 30 M d'utilisateurs, 153 M d'échanges, 27 Md € de volume d'affaire00:06:53 - L'app Leboncoin dans ChatGPT00:15:45 - Historique IA : premiers modèles dès 2014, 100 use cases d'IA “invisibles”00:18:48 - L'IA côté interne00:30:07 - Refonte de la stack00:33:43 - Passage du monolithe à plus de 1000 microservices : pourquoi ce choix00:40:32 - De petites annonces à premier site e-commerce français00:46:30 - Notifications et CRM : emails, push, logique de repeat00:50:30 - Enjeux d'international00:54:09 - Conclusion Et quelques dernières infos à vous partager :Suivez Le Panier sur Instagram @lepanier.podcast !Inscrivez- vous à la newsletter sur lepanier.io pour cartonner en e-comm !Écoutez les épisodes sur Apple Podcasts, Spotify ou encore Podcast Addict Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Kris Kovacs sits down with Colin Phillips, CTO of Lodestar, to talk about how credit unions can stop relying on spreadsheets and start treating data like a strategic asset. Colin breaks down what a modern data journey really looks like—pulling information out of core and other systems into a single source of truth, building a practical data strategy with quick wins, and putting smart governance (like a clear data dictionary) in place so teams can trust what they're seeing. They also dig into near real-time reporting, what success looks like for small vs. large credit unions, and how AI will change analytics next—without replacing the need for clean, well-defined data.Follow the Pod:https://twitter.com/fintechcombineFollow Kris Kovacs:https://twitter.com/ManagementByteshttps://www.linkedin.com/in/kriskovacs/https://www.instagram.com/kriskovacs/The Fintech Combine is Produced and Edited by Anson Beckler-JonesFollow Anson Beckler-JonesInstagram - @ansonandcoYoutube - @ansonandco

Bryan Cantrill, the co-founder and CTO of Oxide Computer company, speaks with host Jeremy Jung about challenges in deploying hardware on-premises at scale. They discuss the difficulty of building up Samsung data centers with off-the-shelf hardware, how vendors silently replace components that cause performance problems, and why AWS and Google build their own hardware. Bryan describes the security vulnerabilities and poor practices built into many baseboard management controllers, the purpose of a control plane, and his experiences building one in NodeJS while struggling with the runtime's future during his time at Joyent. He explains why Oxide chose to use Rust for its control plane and the OpenSolaris-based Illumos as the operating system for their vertically integrated rack-scale hardware, which is designed to help address a number of these key challenges. Brought to you by IEEE Computer Society and IEEE Software magazine.

Before you open another Google Docs, you need to hear this episode. Today, we're talking to Anand Narasimhan, CTO at S Docs. We discuss why organizations pay $94,000 in compliance penalties due to documentation errors, how 57% of employees bypass official tools when under deadline pressure, and why automation must come before autonomous AI in enterprise workflows.  All of this right here, right now, on the Modern CTO Podcast!  Thank you to S-Docs for sponsoring this episode. To learn more, check out their website here.

hema.to is building AI-powered diagnostic infrastructure for cytometry—a specialized area of laboratory medicine analyzing immune system data to detect blood cancers like leukemia and lymphoma. Unlike radiology or pathology where AI solutions are abundant, cytometry has remained largely untouched by the AI wave, creating both opportunity and isolation for the Munich-based company. In a recent episode of BUILDERS, we sat down with Karsten Miermans, CEO at hema.to GmbH, to discuss why they're deliberately keeping sales founder-led despite having paying customers, how South America became an unexpected beachhead market, and what it actually means to build infrastructure versus point solutions in healthcare. Topics Discussed:  From consulting project to venture-backed company: recognizing scalability in hindsight  The workflow integration problem killing healthcare AI implementations  Infrastructure versus technology: why healthcare AI isn't just about the algorithm  Learning ideal customer profile after 18 months of being "all over the place"  Why South America's governance structure enables faster adoption than the US  Resisting the urge to hire sales before achieving true repeatability  The 10-year vision: shifting from "watch and wait" to "predict and prevent" in immune disease GTM Lessons For B2B Founders: Pattern matching fails when you're an outsider—budget 18+ months to find your beachhead: Karsten assumed every application of their diagnostic method was the same and spent a year and a half "blue eyed" (naively optimistic) before identifying their true ICP. The outsider advantage lets you reimagine workflows insiders can't, but you'll incorrectly assume transferability across use cases. Don't expect repeatability in year one when entering regulated, workflow-dependent markets. Infrastructure requires multi-stakeholder orchestration—resource for enterprise complexity from day one: Karsten distinguishes technology (point solutions, single users) from infrastructure (shared resources requiring data exchange and workflow integration). In healthcare, this means integration into hospital systems, databases, and electronic health records across multiple stakeholders. "Every sale becomes enterprise sales" even for individual labs because of this infrastructure requirement. Founders building horizontal platforms should model sales cycles and resource requirements as enterprise from the start, regardless of deal size. Your ICP is cognitively overloaded—they won't understand your category innovation: Doctors are "under so much pressure that they just don't have any cognitive capacity left" to philosophically evaluate why AI might be difficult to implement or how infrastructure differs from technology. They need problems solved within their existing mental models. Skip the category education. Frame everything as workflow enhancement, not innovation. Let sophistication emerge through implementation, not pitch decks. Revenue doesn't equal repeatability—know when you're still in discovery mode: Despite having paying customers, Karsten explicitly states "we're not at product-market fit yet" because they're "discovering and learning things with every new laboratory hospital" around data privacy, integration, and AI deployment. The PMF signal isn't customer count or revenue—it's when the process becomes predictable, customers refer others, and you stop discovering new requirements. Hiring sales before this point scales complexity, not revenue. Regulatory friction determines market sequencing, not just market size: US governance complexity turns every deal into heavy enterprise sales with "many stakeholders," while South America proved "much more willing to move with fewer processes," making them "just much faster to adopt innovative technology." This wasn't strategy—Karsten's CTO speaks Spanish through a personal connection. But the lesson transfers: for infrastructure plays in regulated markets, test adoption velocity in lower-governance environments first to build proof points, even if TAM looks smaller on paper. In healthcare, marketing is clinical evidence—customer success creates your GTM flywheel: Karsten spends minimal time on marketing because beyond the first 5-10 users, doctors "want to see clinical evidence, they want to see papers, they want to see maybe that a friend of theirs is using it." Marketing in healthcare isn't content or demand gen—it's peer validation and published proof. Founders should structure early customer engagements to generate this evidence, not just revenue. The "marketing sales flywheel really does kick in much more once you have product market fit" because PMF enables the evidence generation required for credibility. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Artificial intelligence is not merely influencing cybersecurity — it is redefining it. What was once a battle of firewalls and antivirus software has become an intelligence war between automated defenders and increasingly automated attackers. As discussed in the Snowpal podcast conversation with Alex Lanstein, CTO of StrikeReady , the landscape has evolved from spam botnets and early cybercrime to highly targeted, state-sponsored, and supply-chain-level attacks. Today, AI accelerates both sides of the battlefield.

Critical minerals are in just about every device you can think of, and there's a global race underway to find and finance the production of these materials because they're in short supply. This week, we hear how Earth AI uses predictive algorithms to find new deposits and how TechMet's capital and partnerships carry those opportunities through to production and market impact.We Meet: Roman Teslyuk is the CEO/CTO of EARTH AI              Brian Menell is the CEO of TechMet Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

#339: DNS has been around since the 1980s. Nobody's writing blog posts about how it changed their life. But every single thing on the internet depends on it -- including all those AI tools everyone's excited about. Anthony Eden has been in the DNS business since the late nineties, when he was CTO of one of the first seven domain registrars after the .com deregulation. In 2010 he started DNSimple, and he did it without a dime of venture capital. Sixteen years later, his 20-person team runs a global DNS infrastructure with 14 edge nodes and 9 origin servers spread across multiple continents. The conversation covers the mistakes companies make with their domains -- running production DNS on a registrar that was never built for it, sharing logins with no access control, zero documentation on why records exist. Anthony breaks down how DNS actually works at scale (unicast vs anycast, the onion layers of resolvers), why your email deliverability problems are probably a DNS problem, and what the www vs no-www debate looks like in 2026. On AI tools, Anthony's take is practical. They're giving his engineers more time to think about problems instead of typing out solutions. But he's not buying the vibe coding hype -- when you run critical internet infrastructure, everyone on the team needs to understand the systems they're building. And for AI startups hoping to cash out? Most will fail. The twist you put on somebody else's model won't be a moat. It'll just become a feature for something bigger.   Anthony's contact information: X: https://x.com/aeden Bluesky: https://bsky.app/profile/anthonyeden.bsky.social LinkedIn: https://www.linkedin.com/in/aeden/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

In this episode of Valley of Depth, we dive into Aalyria's newly announced $100 million raise at a $1.3 billion valuation with cofounder and CTO Brian Barritt and unpack why investors are betting big on the future of networks that don't sit still. Aalyria is building two core technologies born inside Google: Spacetime, a software orchestration layer designed to manage networks in motion, and Tightbeam, a laser communications system delivering fiber-like speeds through the atmosphere. Together, they aim to solve one of the hardest infrastructure challenges in aerospace and defense: how to coordinate satellites, aircraft, drones, ships, and ground systems into a seamless “network of networks.” The conversation spans laser physics, diffraction challenges in space-to-ground links, feeder link bottlenecks in mega-constellations, and why routing data across moving infrastructure is fundamentally different than routing across fixed networks. We cover: Why Aalyria's $100M raise signals a shift from R&D to deployment What “network in motion” really means and why it's so hard How laser communications can reach 100 gigabits per second through atmosphere The technical challenge of Earth-to-space vs. space-to-Earth optical links Why interoperability has been a 40-year ambition inside the DoD How open APIs could become the connective tissue for JADC2 and beyond What resilience and roaming look like in hybrid satellite architectures Why optical ground stations require orchestration software to scale   • Chapters • 00:00 - Intro 00:59 – The history of Aalyria 02:47 – Aalyria's Spacetime 06:09 – Building the connective software stack that links all of Aalyria's technology together 07:12 – The non-geostationary network problem 11:12 – The rebirth of Loon Technology 14:50 – How Tightbeam ties in to Aalyria 17:21 – 100gb/s through the atmosphere 19:42 – Brian's mandate as CTO when Aalyria forms 20:37 – State of Tightbeam at formation of Aalyria 22:17 – Why can't other companies do what Spacetime does yet? 26:05 – The significance of having different architectures with different source codes talk to each other without modification 28:21 – How Aalyria integrates a new customer's network 31:05 – What is a long distance for Tightbeam and customer reaction to demos 32:48 – Who has Aalyria surprised the most with their demos? 34:28 – What has prevented the government from making a network of networks? 39:14 – Why wouldn't a space version of the Tightbeam terminal not work? 42:01 – How Aalyria is thinking about customer adopting Tightbeam 45:15 – Aalyria in the defense industry 47:05 – Aalyria's commercial aspects 48:30 – Aalyria's latest investment round 51:39 – Next milestones 53:00 – What keeps Brian up at night? 54:00 – Longterm vision for Aalyria 56:16 – What does Brian do for fun?   • Show notes • Aalyria's website — https://www.aalyria.com/ Mo's socials — https://x.com/itsmoislam Payload's socials — https://twitter.com/payloadspace / https://www.linkedin.com/company/payloadspace Ignition's socials — https://twitter.com/ignitionnuclear /  https://www.linkedin.com/company/ignition-nuclear/ Tectonic's socials  — https://twitter.com/tectonicdefense / https://www.linkedin.com/company/tectonicdefense/ Valley of Depth archive — Listen: https://pod.payloadspace.com/   • About us • Valley of Depth is a podcast about the technologies that matter — and the people building them. Brought to you by Arkaea Media, the team behind Payload (space), Ignition (nuclear energy), and Tectonic (defense tech), this show goes beyond headlines and hype. We talk to founders, investors, government officials, and military leaders shaping the future of national security and deep tech. From breakthrough science to strategic policy, we dive into the high-stakes decisions behind the world's hardest technologies. Payload: www.payloadspace.com Tectonic: www.tectonicdefense.com Ignition: www.ignition-news.com

FOLLOW UP: JUDGE UPHOLDS HUGE AWARD AGAINST TESLAIn August 2025 a jury awarded a payout against Tesla of $243 million, for their partial responsibility in a fatal crash where Autopilot was in use. Tesla appealed this but that has been rejected. The expectation is they will appeal again. To read more, click this article link from TechCrunch.EU TO BRING IN RULES BENEFITTING EUROPEAN BUILT EVSThe European Union (EU) is working on legislation that would push for any state subsidies or incentives to be tied to EVs being made in Europe. The likelihood is that a vehicle will have to contain parts, excepting the battery, that have been 70% made in the EU. If you wish to learn more, click this electrive article link here.The news has caused concern in the UK, as this would mean cars made here would not meet the criteria for state incentives. You can read about this by clicking the link here from Modern Diplomacy.RENAULT TAKES FULL CONTROL OF FLEXISRenault has now taken full control of the electric light commercial vehicle company it created a joint-venture with Volvo Group and CMA CGM to form. Renault has agreed to buy out the 55% that the two other partners held, but the Volvo Group will remain a ‘strategic partner'. For more on this story, click this electrive link here.AUDI GETS A NEW CTOGeoffrey Bouquot is leaving Audi and his role as Chief Technology Officer, after only a year. He will be replaced by Rouven Mohr, who is Lamborghini's CTO, to become Head of Technical Development. The wording of the electrive article is quite interesting, you can see more for yourself by clicking this link here.STAGECOACH BRINGS MORE EBUSES TO DEVONStagecoach is bringing 110 electric buses to Devon, working on routes from Tobay, Barnstable and Exeter. Let's hope they have measured the road widths and checked this time! To read more, click this electrive article link here.TFL AWARD RAPID CHARGER CONTRACTTotalEnergies has been awarded the contract for installing 43 rapid charge points across London. These will be a mix of 100 and 200kW power. You can find out more by clicking this electrive article link here.If you like what we do, on this show, and think it is worth a £1.00, please consider supporting us via Patreon. Here is the link to that CLICK HERE TO SUPPORT THE PODCASTNEW NEW CAR NEWS -Omoda 5 SHS-SOmoda are bringing a hybrid version of the 5 model to the UK, from March 2026. Called the 5 SHS-S, which stands for “Super Hybrid System - Hybrid”. Priced at £25,740 this undercuts the Nissan Qasqai by around £5,000. The company makes it clear the electric capability of this is to aid economy and efficiency.

In this episode, we dive into the seismic shifts happening in industrial AI, from the so-called 'SaaS-mageddon' disrupting established software models to the rise of AI-powered agents that promise to redefine productivity. We share first-hand insights on how large language models and open-source projects are reshaping the landscape, and what this means for the future of industry solutions. We then turn to the frontier of pharmaceutical innovation with Stanisław Jastrzębski, CTO & Co-Founder from molecule.one, who reveals how deep learning, automation, and custom data are accelerating drug discovery. Join us as we connect the dots between industrial AI trends, the evolution of personal assistants, and the chemistry breakthroughs powering tomorrow's medicines. Tune in for a global perspective and a dash of inspiration straight from the heart of Istanbul.

In deze aflevering van CEO van mijn leven vertelt Jeroen Van Hautte, computerwetenschapper en CTO van TechWolf, hoe een hackathon bij Belfius de vonk was voor wat nu een Belgisch AI-succesverhaal is. TechWolf helpt grote bedrijven met tienduizenden werknemers om hun mensen te begrijpen op basis van skills, niet alleen jobtitels — en doet dat met de werknemer in het midden, niet als Big Brother. Jeroen legt uit waarom hij de academische carrière in Cambridge liet voor het ondernemerschap, hoe de "zone of genius" filosofie diep in TechWolf's cultuur zit, en waarom transparantie en open source publicaties essentieel zijn voor verantwoorde AI. Hij deelt ook de realiteit van €500 per maand verdienen als founder, de uitdaging om als CTO los te laten, en waarom hij funding ziet als het geven van opties aan het bedrijf. Daarnaast gaat het gesprek over de snelheid van AI-transformatie, waarom één ethical officer geen oplossing is, en hoe Jeroen met slechts drie grote prioriteiten in zijn leven bewust kiest voor diepgang boven breedte. Trends is een podcastkanaal van de redactie van Trends. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

SolarWinds patches four critical remote code execution vulnerabilities. A ransomware attack on Conduant puts the data of over 25 million Americans at risk. RoguePilot enables Github repository takeovers. ZeroDayRat targets Android and iOS devices. North Korea's Lazarus group deploy Medusa ransomware against organizations in the U.S. and the Middle East. Attackers' breakout times drop to under half an hour.  CISA maintains its mission despite staffing challenges. Russian satellites draw fresh scrutiny. Two South Korean teenagers are charged with breaching Seoul's public bike service. Krishna Sai, CTO at SolarWinds, discusses why leaders should focus less on speculating about an AI bubble, and more on how to quantify AI's tangible contributions. The Pope pushes prayerful priests past predictable programs.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Krishna Sai, CTO at SolarWinds, discussing why leaders should focus less on speculating about an AI bubble, and more on how to quantify AI's tangible contributions. Selected Reading Critical SolarWinds Serv-U flaws offer root access to servers (Bleeping Computer) Massive Conduent Data Breach Exfiltrates 8 TB Affects Over 25 Million Americans (GB Hackers) GitHub Issues Abused in Copilot Attack Leading to Repository Takeover (SecurityWeek) New ZeroDayRAT Malware Claims Full Monitoring of Android and iOS Devices (Hackread) North Korean state hackers seen using Medusa ransomware in attacks on US, Middle East (The Record) CrowdStrike says attackers are moving through networks in under 30 minutes (CyberScoop) Shutdown at D.H.S. Extends to Cyber Agency, Adding to Setbacks (The New York Times) From Cold War interceptors to Ukraine: how Russia came to park spy satellites next to the West's most sensitive tech in orbit (Meduza) Korean cops charge two teens over Seoul bike hire breach (The Register) Pope tells priests to use their brains, not AI, to write homilies (EWTN News) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Every employer knows to conduct background checks. However, conducting background checks on IT professionals requires an extra layer of verification, given the privileged access they typically have to IT systems and tools. Moreover, in this AI era, background checks need to be deeper and more effective than before–in the past we didn't need to verify... Read more »

Every employer knows to conduct background checks. However, conducting background checks on IT professionals requires an extra layer of verification, given the privileged access they typically have to IT systems and tools. Moreover, in this AI era, background checks need to be deeper and more effective than before–in the past we didn't need to verify... Read more »

Of all the industries AI will transform, Kira Radinsky believes chemistry and biology will change the most. Kira is the co-founder and CTO of Diagnostic Robotics, which uses AI to automate the administrative work that's crushing healthcare teams — so clinicians can actually focus on patients. She's also the co-founder of Mana.bio, where they're accelerating drug discovery by orders of magnitude.She'll tell you she's terrible in the lab. Not because she isn't brilliant, but because she can't pipette without killing the cells. So she's thrilled that thanks to her skills in data and AI she was able to realize her childhood dream of being a scientist: “I'm not trying to automate everything… Like when, when you say automate drug discovery, I'm not gonna discover everything. I just want to accelerate it, which comes back to my childhood dream: I just didn't want to do it myself. I just want AI to replace me as a scientist. That's it.”But this episode is about more than healthcare. It's about how to build systems that get smarter over time — feedback loops, causal inference, incentivizing algorithms to take risks, and knowing when to optimize for ROI instead of accuracy. Lessons that apply whether you're building in biotech or not.We cover:How growing up Jewish in Soviet Ukraine — and fleeing to Israel just before the Gulf War — shaped Kira's obsession with predicting the futureHow she built a system that successfully predicted real-world events, including Cuba's first cholera outbreak in Cuba in 130 yearsHow Mana.bio is using AI to build "rocketships" that deliver drugs to the right cells — and how they've done in three months what used to take 20 yearsWhy predictions are only valuable if there's something you can do about them — and why that makes healthcare an ideal field for AI How to incentivize algorithms to make bolder predictions (it's easy to predict there won't be an earthquake today; it's much harder to say there will be)Why causal inference is the most underrated tool in machine learning right nowHow healthcare AI can perpetuate racial bias — and what builders need to do differentlyNote: this interview originally aired in October 2024. Chapters:(01:44) - Why predictions are so important to Kira: lessons from fleeing Soviet-era Kyiv (05:10) - Building a prediction engine from 150 years of news (08:35) - How Kira predicted the Cuba cholera outbreak (09:50) - Returning to biology by way of data (12:50) - Predicting healthcare outcomes by finding your patient's twin (17:53) - The racial bias hiding in healthcare AI (19:15) - Building Mana.bio and accelerating drug discovery (24:33) - "In three months, what did what used to take 20 years" (31:44) - Builder tips: ROI, causal inference, and teaching algorithms to explore (35:07) - Planning: Where generative AI needs improve Links & Resources:Kira Radinsky on LinkedInDiagnostic RoboticsMana.bioSupport Future Around & Find OutGet the free newsletterAnd consider becoming a paid subscriber and help future proof this thing!Sponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com---Music by Jonathan Zalben

Late last year MyCelsius launched their cooling bracelet in the UK and they are planning to launch it in Ireland this year. I recently caught up with Aonghus O'Donovan the CTO and Co-Founder of MyCelsius.Aonghus spoke about his background, how MyCelsius was founded, the technology behind MyCelsius, their plans to launch the Cooling Bracelet in Ireland in 2026 and more.More about MyCelsius:MyCelsius Cooling Bracelet is a groundbreaking innovation developed to support people affected by heat and hot flushes.  At the heart of what they do, they developed one of the smallest and most powerful cooling systems in the world.Founded with the mission to close the gap in women's health innovation, the company has designed a stylish, science-driven wearable that brings comfort, confidence and wellbeing to women. 

John Grange, Co-Founder of Move Venture Capital and CTO of OpsCompass, joins us from Omaha, Nebraska to unpack what AI is really changing — and what it's quietly breaking.From the collapse of digital trust in a world of deepfakes to the hype around AI agents and “GPT wrappers,” John brings the perspective of a technical founder turned investor. We dig into why value creation matters more than ever, why compliance doesn't equal security, and how AI is lowering the cost of building — and attacking — software systems.We also explore the harder questions:Are we headed toward an era where nobody believes what they see?Does AI amplify existing cybersecurity weaknesses?Is regulation the solution — or a competitive liability?And in a world where technology is commoditized, what's the real moat left for startups?This episode connects venture capital, cloud security, AI infrastructure, social media's psychological impact, and the future of trust into one central theme: AI is accelerating everything — including our mistakes.If you care about startups, cybersecurity, infrastructure, or the societal consequences of AI, this conversation goes well beyond the buzzwords.Want to learn more about securing your fleets, platforms, or mission critical systems? Contact us at FleetDefender.com.

This episode from CES 2026 features Michael O'Shea, CTO and COO of MOTER Technologies, discussing the company's approach to usage-based insurance through in-vehicle AI deployment. MOTER Technologies, backed by a major Japanese insurance company, places software directly in vehicles to analyze sensor data and generate fair driver risk scores while maintaining privacy through edge computing. O'Shea explains how their collaboration with Sonatus AI Director enables standardized deployment of their lightweight AI models across different vehicle platforms, benefiting drivers through potentially lower insurance costs, OEMs through revenue sharing and customer loyalty programs, and insurance companies through more accurate risk assessment. The conversation covers the evolution from traditional OBD dongles and smartphone apps to sophisticated in-vehicle systems that provide contextual understanding of driving behavior. O'Shea also discusses their DriveSAGE coaching application that provides feedback to help drivers improve their safety scores, emphasizing the importance of transparency and customer consent in data usage.

If your main lens for the outside world and the industry is based on social media and LinkedIn, you're probably getting a very distorted view of reality. It can be depressing, demotivating, or just derailing. It doesn't have to be that way!Grab a copy of my books, Capitalizing Your Technology and  The Tech Executive Operating System.Subscribe to the best newsletter for tech executives.For any questions or comments, reach out to me directly: aviv@avivbenyosef.com

Late last year MyCelsius launched their cooling bracelet in the UK and they are planning to launch it in Ireland this year. I recently caught up with Aonghus O'Donovan the CTO and Co-Founder of MyCelsius Aonghus spoke about his background, how MyCelsius was founded, the technology behind MyCelsius, their plans to launch the Cooling Bracelet in Ireland in 2026 and more. More about MyCelsius: MyCelsius Cooling Bracelet is a groundbreaking innovation developed to support people affected by heat and hot flushes. At the heart of what they do, they developed one of the smallest and most powerful cooling systems in the world. Founded with the mission to close the gap in women's health innovation, the company has designed a stylish, science-driven wearable that brings comfort, confidence and wellbeing to women. See more podcasts here.

Marty sits down with Alex Leishman, CEO and CTO of River, to discuss Bitcoin adoption trends in the current bear market, the Lightning Network's growing momentum, institutional vs. individual ownership shifts, AI's impact on productivity and hiring, quantum computing risks to Bitcoin, and River's vision for the future of Bitcoin banking. Alex on X: https://x.com/Leishman River report: https://x.com/SDWouters/status/2024507942708351443 STACK SATS hat: https://tftcmerch.io/ Our newsletter: https://www.tftc.io/bitcoin-brief/ TFTC Elite (Ad-free & Discord): https://www.tftc.io/#/portal/signup/ Discord: https://discord.gg/VJ2dABShBz Opportunity Cost Extension: https://www.opportunitycost.app/ Shoutout to our sponsors: Bitkey https://bit.ly/4pOv2L4 Promo Code: TFTC99 Unchained https://unchained.com/tftc/ SLNT https://slnt.com/tftc Lygos: https://bit.ly/4koiJmB Salt of the Earth: https://drinksote.com/tftc Join the TFTC Movement: Main YT Channel https://www.youtube.com/c/TFTC21/videos Clips YT Channel https://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQ Website https://tftc.io/ Newsletter tftc.io/bitcoin-brief/ Twitter https://twitter.com/tftc21 Instagram https://www.instagram.com/tftc.io/ Nostr https://primal.net/tftc Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/martybent Newsletter https://tftc.io/martys-bent/ Podcast https://www.tftc.io/tag/podcasts/

In this episode, Dave and Jamison answer these questions: A listener named Derek asks, I am the CTO and cofounder of a startup. Now that vibecoding is a thing, our CEO has kind of gone rogue, and and he's vibecoding a bunch of random stuff, one of which he bought a domain for and has pushed a potential customer to pay for, without talking to our team. I feel like this is fragmenting our focus, but I don't want to ban our CEO from vibecoding and being creative. how should I handle this without damaging relationships? AdmiralFox asks, Hi Dave and Jamison! Longtime listener, first-time question asker here. After 14 years at a consultancy firm, I'm moving to a major retailer to become their Java Learning and Community Lead. Instead of shipping code, my new role will be shipping knowledge. I will be managing learning paths, organizing internal knowledge sharing events, and help managers screen candidates. Basically, I'm moving from a ‘Maker' role to a ‘Multiplier' role. I have 13 weeks of notice period (Standard European “I'm not leaving yet after 14 years” protocol) and I want to use my free evenings to prepare. My questions for you: How do I transition from “the guy with the technical answers” to “the guy who helps everyone else find the answers”? How can I use the remaining time of my notice period to prepare for the people side of this role? Love the show! Keep up the ‘quit-your-job' advice coming (although I've already taken it!)

Arnie Katz has been running product and engineering under one roof since before most companies even considered combining the roles. As CPTO at GoFundMe, he oversees the teams behind a platform processing over 2.5 donations every second, with more than $40 billion in help facilitated worldwide. Arnie breaks down why the CPTO title keeps gaining traction, how he thinks about the role like a portfolio manager, and where the real trade offs live when one person holds both the product and technology reins.Key TakeawaysThe CPTO role works like a portfolio manager. Arnie manages the company's largest investment center by balancing short term business wins against long term platform bets, knowing when to take on technical debt and when to pay it down.Velocity, coordination, and alignment are the three biggest wins. When product and engineering report to one leader, decisions happen faster, roadmap conflicts get resolved without executive tug of war, and technical investments stay tied to business outcomes.The disadvantages are real. Without separate CPO and CTO voices at the executive table, certain perspectives can get muted. His fix: build a leadership bench strong enough to create the right tension underneath him.AI is changing what small teams can deliver. GoFundMe's eight person team behind Giving Funds is shipping at a pace that would have been impossible five years ago.Timestamped Highlights[00:38] The scale most people don't realize about GoFundMe, including 2.5 donations per second and GoFundMe Pro for nonprofits.[02:02] How Arnie first landed the CPTO title at StubHub seven years ago, and why it clicked.[09:11] The real downside of collapsing two C suite roles into one, and how Arnie designs around it.[13:57] His portfolio approach to technical debt, sequencing re platforming in areas like identity and payments while other teams ship business value.[18:38] AI reshaping engineering velocity, the future of the SDLC, and product teams prototyping without writing code.[23:06] Where the CPTO model is headed as the industry evolves.The Line That Stuck"I often think of myself as a portfolio manager. My job is to invest money where the company gets the best returns, where the mission gets the best return, where the shareholder gets the best returns."Pro TipsSequence your bets instead of spreading them thin. GoFundMe gave their identity and payments teams nine months of runway to re platform with no feature expectations while other squads picked up the pace on near term results.Build leadership that creates productive friction. Without CPO vs. CTO tension at the exec level, let your VPs and SVPs push back against each other. That tension is where the best decisions come from.Think in time horizons, not just priorities. Short term moves for 0.1% to 0.5% metric lifts. Midterm bets for 1% to 5% gains. Long term swings that could transform the business. Allocate across all three.If this conversation changed how you think about product and engineering working together, share it with someone on your team. Subscribe to The Tech Trek so you never miss an episode, and connect with Arnie on LinkedIn to keep the conversation going.GoFundMe is offering listeners of The Tech Trek a chance to open their own Giving Fund. For the first 50 people who open a Giving Fund and add $25 or more to their Giving Fund, GoFundMe will add an additional $25 to that Giving Fund. If you have a Giving Fund but have never contributed into it, you can also participate. The deadline for this incentive is March 13. To get this incentive, click here to start your Giving Fund.

Hey there leader! Today in Leadership Lost and Found join Randy and Jim as they talk with Barry Vandeveer about his journey from software developer to CTO, CIO and now COO, and the leadership lessons he's learned along the way. We cover practical topics like transitioning from individual contributor to people leader, hiring and mentoring talent, navigating cultural change after acquisitions, making data-driven spend decisions, and the importance of listening and being available for your team. Barry also shares personal anecdotes — founding Travelocity, a brief stint as a flight attendant, earning an MBA while raising a family, recovering from burnout, and his current focus on integrating AI at Datacore — giving real-world examples of leadership in action.

In this episode of Forward Thinking Experts, Sher Downing, PhD sits down with Andrew Lawrence, PhD — Co-Founder and CTO of New Light IO — to explore how AI-driven solutions are transforming K–12 education.Andrew shares how their platform, IntelliTier, simplifies MTSS (Multi-Tiered System of Supports) by unifying behavioral and academic data, improving consistency across schools, and accelerating personalized student support. The conversation dives into how AI can reduce delays in intervention, improve documentation, protect student data through FERPA compliance, and help schools move away from reactive discipline toward proactive, evidence-based strategies.They also discuss fairness in AI, ethical data use, SIS integration, and the long-term vision of leveraging large-scale insights to improve outcomes for students nationwide.If you care about student success, educational equity, and the responsible use of AI in schools, this is a must-listen conversation.Takeaways:AI helps schools identify struggling students sooner — not months later.When academic and behavior data work together, interventions get smarter.Proactive support beats reactive discipline every time.Ethical, FERPA-compliant AI is essential — not optional.The future of student success is tech-enabled but human-led.Andrew says, "My parting advice: focus on solving meaningful problems, listen to the people you serve, and ensure your technology empowers, not intimidates."Learn more about New Light IO and Andrew here:https://www.linkedin.com/in/andrew-r-lawrence/https://www.linkedin.com/company/neulighthttps://www.facebook.com/people/Neulight/61559694274342/https://www.instagram.com/neulight.iohttps://www.threads.net/@neulight.ioKeywords:#AIinEducation#EdTech#K12Education#StudentSuccess#PersonalizedLearning#MTSS#EducationInnovation#DigitalTransformation#FERPA#SchoolLeadership#FutureOfEducation#DataDrivenEducation

In this episode of the GSD Presents Silicon Valley AI & Tech series, we sit down with the visionary founders of Matrix Edge Therapeutics, Elaine Phan and Andreas Taylor.We dive deep into how they are building the "Signal → Cure → Longevity" AI infrastructure to revolutionize drug discovery and patient stratification. Learn how continuous patient signals and agentic AI are being used to reduce clinical trial-and-error, speed up cure development, and ultimately extend human healthspan.Key Topics Covered:The shift from reactive medicine to AI-driven Precision Medicine.How "Continuous Patient Signals" improve subtyping and stratification.The role of AI in streamlining the lifecycle from drug discovery to post-market management.The future of longevity and bio-tech innovation.About the Guests:Elaine Phan: Founder of Matrix Edge Therapeutics, Biopharma leader (20+ years), NIH AI strategist, and UC Berkeley/Stanford/Georgia Tech alumna.Andreas Taylor: Co-Founder & CTO, Genentech veteran, Data Scientist, and expert in agentic AI applications and drug delivery.Connect with GSD Venture Studios: gsdvs.com#PrecisionMedicine #AIinHealthcare #Longevity #DrugDiscovery #Biotech #GSDVS #TopGlobalStartups #HealthTech #BioPharma

In this episode of The Effortless Podcast, Dheeraj Pandey speaks with Dr. Abhishek Bhowmick about how quantum mechanics reshaped our understanding of determinism and why that shift matters for AI today.  From the Einstein–Bohr debates to the idea that nature is fundamentally probabilistic, they explore how the collapse of “if-then” thinking began nearly a century ago. The discussion draws parallels between quantum superposition and modern LLM behavior. At its core, the episode reframes AI as a rediscovery of how reality computes. The conversation then moves from physics to computing architecture, tracing the evolution from scalar CPUs to GPUs, TPUs, tensors, and eventually quantum computing. They examine why probabilistic systems and vector math feel more natural than purely deterministic software. Hybrid computing models show that classical systems still matter. The episode also unpacks what quantum computers are truly good at, especially in cryptography and simulation. Ultimately, it reflects on whether the future of computing lies in embracing probability rather than resisting it. Key Topics & Timestamps 00:00 – Welcome, context, and how Dheeraj & Abhishek met 04:00 – Abhishek's journey: IIT, Princeton, Apple, Snowflake 08:00 – The 1927 Solvay Conference and physics at a crossroads 12:00 – Einstein vs. Bohr: determinism vs. probability 16:00 – Superposition and the collapse of the wave function 20:00 – Fields vs. particles: what is an electron really? 25:00 – Matter particles, force particles, and the Standard Model 30:00 – Transistors, voltage, and the rise of deterministic computing 35:00 – From scalar CPUs to vectors and matrices 40:00 – Tensors, linear algebra, and modern AI systems 45:00 – Principle of Least Action and gradient descent parallels 50:00 – Hallucinations, probability mass, and LLM behavior 55:00 – Vector databases, embeddings, and KNN search 59:00 – GPUs vs. TPUs: matrix vs. tensor architectures 1:05:00 – What quantum computers are actually good at 1:10:00 – Post-quantum cryptography and the future of computing Host -  Dheeraj Pandey Co-founder & CEO at DevRev. Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work. Guest -  Dr Abhishek Bhowmick                                                                                                                                                                                                                Co-Founder and CTO of Samooha, a secure data collaboration platform acquired by Snowflake. He previously worked at Apple as Head of ML Privacy and Cryptography, System Intelligence, and Machine Learning, and earlier at Goldman Sachs. He attended Princeton University and was awarded IIT Kanpur's Young Alumnus Award in 2024. Follow the Host and Guest - Dheeraj Pandey: LinkedIn - https://www.linkedin.com/in/dpandey Twitter - https://x.com/dheeraj Abhishek Bhowmik  LinkedIn –  https://www.linkedin.com/in/ab-abhishek-bhowmick Twitter/X – https://x.com/bhowmick_ab Share Your Thoughts Have questions, comments, or ideas for future episodes?

AI can make mistakes – and AI chatbots like ChatGPT warn you about that whenever you ask them anything.These mistakes sometimes involve making up entirely fictitious, factually false statements known as “hallucinations”.Whether these hallucinations matter depends on what you're using AI for, and whether they are spotted and corrected.The team on More or Less were slightly surprised to read a headline in Fortune magazine, claiming that a top academic AI conference accepted research papers which contained 100 AI-hallucinated citations.You might think that the top AI researchers in the world would be careful about using AI to write their research papers.Alex Tui, CTO and co-founder of GPTZero – whose company discovered the hallucinations – explains what's going on.CREDITS: Presenter and producer: Tom Colls Sound mix: James Beard Production co-ordinator: Brenda Brown Editor: Richard Vadon

Jim Love discusses how rapid adoption of agentic AI is repeating the industry pattern of shipping technology without security, citing issues like vulnerabilities in Anthropic's MCP and insecure open-source agent tools. He interviews Ido Shlomo, co-founder and CTO of Token Security, who argues AI agents are fundamentally hard to secure because they are non-deterministic, have infinite input/output space, and often require broad permissions to be useful.  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 Shlomo proposes focusing security on access, identity, attribution, least privilege, and auditability rather than trying to filter prompts and outputs, and describes Token's "intent-based permission management" approach that maps agents and sub-agents as non-human identities tied to their purpose and allowed actions. The conversation covers real-world risks such as developer tools like Claude Code running with extensive access, widespread over-provisioning of admin permissions and API keys, exposure of unencrypted local token files, and misconfigurations that leak data publicly. Shlomo recommends organizations build governance processes for agents—discovery/inventory, boundary setting, continuous monitoring, and secure decommissioning—and says AI is needed to help police AI. He also highlights emerging trends like agent teams and multi-day autonomous tasks, and notes Token Security is a top-10 finalist in the RSA Innovation Sandbox 2026, planning to present an intent-and-access-focused security model for AI agents. 00:00 Sponsor: Meter's integrated networking stack 00:19 Why agentic AI security is breaking (MCP & open-source chaos) 02:53 Meet Token Security: practical guardrails for AI agents 04:57 Why you can't just ban agents at work (shadow AI reality) 06:24 Tel Aviv's cybersecurity pipeline: gaming, military, and startups 08:57 Why AI/agents are fundamentally hard to secure (new OS + 'human spirit') 13:44 Trust, autonomy, and permissions: managing the blast radius 18:17 Real-world exposure: Claude Code and the developer identity attack surface 20:16 A workable approach: treat agents as untrusted processes with identity + least privilege 22:33 Zero Trust for Agents: Access ≠ Permission to Act 23:27 Token's "Intent-Based Permission Management" Explained 25:29 Building the Identity Map: Tracing What Agents Touch 26:52 The Secret Sauce: Using AI to Secure AI in Real Time 28:10 Real-World Case: 1,500 Agents and Wildly Over-Provisioned Access 30:57 CUA 'Computer-Use' Agents: Exciting, Personal… and Terrifying 34:44 Secure-by-Default & Sandboxing: Fixing 'Always Allow' Dark Patterns 35:36 What Security Teams Should Do Now: Inventory, Boundaries, Governance 37:59 What's Next: Agent Teams and Multi-Day Autonomous Work 40:10 Tony Stark Vision: Agents That Improve the Human Experience 41:02 RSA Innovation Sandbox: Token's Big Bet on Intent + Access 43:01 Wrap-Up, Audience Q&A, and Sponsor Message

Pour l'épisode de cette semaine, je reçois Gilles Barbier, entrepreneur récidiviste et fondateur de TinyStaff.Gilles évolue dans l'écosystème tech depuis plus de 20 ans : créateur de startups, ancien CTO de The Family, contributeur open source… Il suit aujourd'hui de très près la révolution en cours autour des agents IA et des nouveaux outils de développement.Au cours de cet épisode, nous avons parlé d'OpenClaw, le projet open source qui a explosé en quelques semaines (plus de 200 000 stars sur GitHub), et de ce qu'il change concrètement dans la façon de travailler.Nous avons abordé :Ce qu'est réellement OpenClaw et pourquoi il a suscité un tel engouementLa différence entre une IA “chat” classique et une IA agentique proactiveComment Gilles a construit TinyStaff au-dessus d'OpenClaw pour proposer des “virtual employees” prêts à l'emploiL'impact des outils comme Claude Code, Codex ou Cursor sur la productivité des développeursLe coût réel des tokens et la question des abonnements vs APIL'avenir des SaaS face aux agents : disparition, transformation ou adaptation ?Pourquoi les éditeurs devront rendre leurs produits “agent-compatible” (API, CLI, MCP…)Ce que cette révolution va changer, au-delà des développeurs, pour tous les métiersUn épisode un peu différent, plus “actu chaude” que d'habitude, mais passionnant pour comprendre la vague en cours et anticiper ses conséquences sur l'écosystème SaaS.Vous pouvez suivre Gilles sur LinkedIn.Bonne écoute !Pour soutenir SaaS Connection en 1 minute⏱ (et 2 secondes) :Abonnez-vous à SaaS Connection sur votre plateforme préférée pour ne rater aucun épisode

Introduction In this episode of the Insurtech Leadership Podcast, host Josh Hollander sits down with Gemma Ros, CTO at The Zebra, to unpack their 2026 State of Auto Insurance Report. They explore what's driving premium divergence across states, how affordability pressure is reshaping consumer behavior, and where regulation, loss costs, and distribution dynamics collide. Guest Bio Gemma Ros is CTO at The Zebra, one of the largest insurance comparison platforms in the United States. Born in Spain, Gemma built her career across engineering and data roles before joining The Zebra, where she leads the technology organization responsible for data infrastructure, product engineering, and AI capabilities. She brings a unique perspective as both a technologist and an insurance industry insider who sees real-time consumer shopping behavior at scale. Key Topics • State-by-state premium divergence — Auto insurance premiums are not stabilizing uniformly. Regulatory environments, loss cost trends, and competitive dynamics are creating vastly different realities depending on where you live. • Affordability pressure and coverage erosion — Consumers facing higher premiums are choosing higher deductibles, lower coverages, and state minimums — creating knock-on effects for uninsured/underinsured motorist exposure across the market. • Carrier growth signals in ad spending — When carriers increase advertising, it signals growth appetite and competitive pricing — a cue for consumers to reshop their policies. • Rate filing dynamics — New rates are being filed and going into effect daily, making the market a moving target for both consumers and distribution partners. • Telematics and ADAS impact on underwriting — Usage-based insurance and advanced driver assistance systems are beginning to reshape how risk is priced, though widespread impact is still unfolding. • Autonomous vehicles and insurance implications — The shift from driver liability to product/manufacturer liability as autonomy scales, and what that means for carriers. • Taking AI from fun to material impact — Gemma's 2026 engineering theme: moving AI adoption from experimental to scalable, repeatable, and operationalized across the entire engineering organization. Quotes • "It's never a bad idea to shop around. Educate yourself — you might be leaving money on the table." • "If you start seeing a lot more ads for insurance companies on TV or on podcasts, that's a good time to reshop — the carriers are signaling they want to grow." • "My main theme for 2026 is taking AI from fun to material impact." Resources • The Zebra's 2026 State of Auto Insurance Report: Available at thezebra.com • The Zebra: thezebra.com — insurance comparison platform Subscribe & Review If you enjoyed this episode, subscribe to the Insurtech Leadership Podcast on YouTube, Apple Podcasts, Spotify, or wherever you listen. Leave a review — it helps other insurance and technology professionals find the show.

The threat of military conflict between the U.S. and Iran is escalating as tense diplomatic talks remain at a stalemate. While the Trump administration seeks a comprehensive deal addressing nuclear enrichment, Tehran is demanding the elimination of sanctions as a precursor to any serious negotiation. Former CIA Chief of Station, Director of Middle East Operations, and FOX News contributor Daniel Hoffman joins the Rundown to discuss why the Iranian regime may be using these talks to buy time against a rising domestic protest movement and whether the U.S. is inevitably headed toward "kinetic strikes" to maintain its global credibility. Will AI take your job—or make it better? Some headlines warn of mass layoffs, while others promise an economic golden age. This comes as many corporate giants are trimming headcounts, but the manufacturing floor is seeing a surprising twist—AI-driven efficiency is actually sparking a hiring spree. Shyam Sankar, CTO of Palantir Technologies, joins the Rundown to discuss his perspective on "human agency" in technology and how AI can be used to strengthen the American industrial base. Plus, commentary by Jason Chaffetz, FOX News contributor and the host of the Jason In The House podcast on FOX News Radio. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Can designing for human error become the strongest cybersecurity strategy in an AI-accelerated world? In this episode, I sit down with Yaz Bekkar, Principal Consulting Architect for Barracuda XDR and a member of the company's Office of the CTO, to explore why the speed introduced by AI is changing the risk equation for every organization. As automation allows teams to move faster, it also means small mistakes can scale at machine speed. Yaz argues that resilience in 2026 is no longer about trying to prevent every incident. It is about anticipating failure, containing the blast radius, and recovering quickly without bringing the business to a standstill. Our conversation challenges one of the most persistent narratives in security, the idea that people are the weakest link. Yaz explains why safeguarding the workforce begins with reshaping the environment they operate in. When the secure option is also the easiest and fastest path, risky shortcuts begin to disappear. From secure defaults and least-privilege access to paved-road workflows for administrators, he shares practical examples of how organizations can reduce complexity, limit exposure, and support better decisions under pressure. We also tackle the limits of annual compliance training and the cultural shift required to build real cyber resilience. Yaz makes the case for continuous, bite-sized practice embedded into everyday work, from three-minute phishing simulations that teach without blame to short, hands-on misconfiguration drills for technical teams. The result is stronger habits, faster response times, and a security posture designed for real human behavior rather than ideal conditions. If AI is accelerating both innovation and risk, how do leaders move from a prevention-only mindset to resilient operations that protect business continuity when controls fail? And what would change in your organization if every system was designed with the assumption that someone, somewhere, will eventually make a mistake?

Most companies don't realize it yet, but the way they built their technology foundations is quietly becoming a liability.Cloud costs are rising. Platforms change underneath you. AI is reshaping infrastructure from hardware to data to governance. And the strategies that once felt “safe” are now the ones creating the most risk.In this episode of IT Visionaries, host Chris Brandt sits down with Mano Bhattacharya, CTO of Nutanix, to unpack what's really happening inside enterprise technology right now. This isn't a conversation about chasing the newest tools or betting on a single future. It's about why adaptability has become the most important design principle in modern tech.Mano explains why many organizations are rethinking long-held assumptions about virtualization, cloud, and containers, and why the smartest teams are building infrastructure that gives them options over the next three to five years. They explore how AI changes the entire stack, not just applications, why data has become the real bottleneck, and why moving fast without a coherent plan can be more dangerous than moving slowly. Chapters:00:00 - The VMware Exodus Wave is Coming03:34 - VMware Broadcom Acquisition: What Changed and Why It Matters05:56 - Three Migration Paths: Stay, Move to Cloud, or Modernize09:59 - Why Containers on VMs Make Sense for Most Enterprises15:40 - The Five Stages of VMware Migration Grief21:20 - VMware Admin to Nutanix Admin: Closing the Skills Gap24:14 - The Cloud-in-a-Box Philosophy: From Boxes to Software32:30 - Opening Up the Platform: Pure Storage and Third-Party Integrations40:54 - AI Infrastructure: The End-to-End Challenge48:01 - Enterprise AI Strategy: Use Cases, Economics, and Governance56:44 - What's Next: Building the Invisible Platform for AI  -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens when AI agents inherit access to enterprise systems but nobody governs their identities? Ido Shlomo, Co-Founder and CTO of Token Security, joins the conversation to unpack a rapidly growing challenge that many organizations face but few have addressed. As businesses accelerate AI adoption, agents are being deployed to fetch data from CRMs, process emails, and execute actions across platforms. The problem is that these agents often operate with persistent access, no clear ownership, and little visibility into what they can reach.How should security teams approach AI agent identity governance? Shlomo explains that the first step is discovery. Most companies do not know what their AI agent inventory looks like, and without that baseline, effective governance is impossible. The good news, he notes, is that agents do not suffer from politics. They do exactly what they are told and operate within the boundaries they are given. That predictability makes the challenge more manageable if the right tooling is in place.What makes an effective access policy for AI agents? Rather than relying on prompt filtering or output controls that add latency and friction, Shlomo advocates for intent-based permission models that scope each agent to access only what it needs, when it needs it. He frames the prioritization process as a matrix of access and autonomy, where the agents with the highest levels of both deserve immediate attention. For business leaders, the visibility that comes from this approach also reveals waste and inefficiency, highlighting departments and services that are not delivering on their intended value. To learn more about how to identify, govern, and secure AI agent identities, connect with the Token Security team and follow Ido Shlomo for practical guidance.This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTIdo Shlomo, Co-Founder & CTO of Token SecurityOn LinkedIn: https://il.linkedin.com/in/ido--shlomoRESOURCESToken Security (Website): https://www.token.security/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSIdo Shlomo, Token Security, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, AI agent identity, non-human identity, identity governance, AI agent security, identity risk, least privilege, AI agent access, machine identity, NHI security, AI agent inventory, intent-based access Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send a textIn this special February compilation episode of AI and the Future of Work, we explore what it truly takes to build AI companies designed to last.While AI innovation moves fast, enduring companies are built on fundamentals. Clear problem selection. Thoughtful product design. Ethical intent. Leadership under uncertainty. And the resilience required to keep going when the market pushes back.This episode brings together insights from founders and operators who have built, scaled, and sustained AI-driven companies across different stages and industries. Their stories reveal a shared truth. Long-term success depends less on hype and more on discipline, courage, and trust.Featured GuestsEric Olson, CEO and Co-founder of Consensus - Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/11574063 Rich White, Founder of UserVoice and CEO of Fathom - Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/11911533 Dmitry Shapiro, CEO of MindStudio - Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/14866979 Daniel Marcous, Founder and CTO of April, former CTO of Waze - Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/12679210 George Sivulka, CEO of Hebbia - Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/16572788 What You'll LearnWhy founders must act before certainty appearsHow solving real pain leads to stronger, longer-lasting companiesWhat ethical intent looks like in practical AI system designWhy trust, accuracy, and discipline matter more than speedHow resilience shapes leadership through uncertaintyWhat separates durable AI companies from short-lived experimentsInspired by something you heard in this episode?Share your favorite insight on social and tag us. We'd love to hear what resonated with you. And don't forget to subscribe to AI and the Future of Work for more conversations with the founders and leaders shaping what comes next.Other special episodes: Lessons from Four Unicorn CEOs Disrupting Massive Markets with AI (Special Episode)Artificial General Intelligence: Can Machines Really Think Like Us? (Special Episode)Ethical AI in Hiring: How to Stay Compliant While Building a Fairer Future of Work (HR Day Special Episode)AI and the Law: How AI Will Change Legal Careers (Special Episode)AI and Safety: How Responsible Tech Leaders Build Trustworthy Systems (National Safety Month Special)Lessons from Leaders: How AI Is Redefining Work and the Human Experience (Labor Day Special Episode)365: What We've Learned from 364 Expert Conversations (Special Episode)

Regaining clarity at work is one of the biggest challenges developers face as responsibilities grow, distractions multiply, and expectations rise. Burnout rarely appears overnight. More often, it creeps in quietly—through constant context switching, mental fatigue, and the feeling that you're busy all day but not making real progress. For developers and technical leaders, clarity isn't a "nice to have." It's what allows you to make good decisions, focus deeply, and enjoy the work you're doing. Without it, even small tasks feel heavier than they should. About Andrew Hinkelman Andrew Hinkelman is a certified executive coach and former Chief Technology Officer who works with tech founders, CTOs, and engineering leaders to strengthen their leadership and people skills. With over 25 years of corporate experience, including 8 years as a CTO, Andrew understands firsthand the pressures technical leaders face as they move from hands-on execution to leading teams and organizations. His coaching focuses on helping leaders build trust, develop others, and stay strategic as responsibilities grow. Andrew's philosophy is simple: all professional development is personal improvement. After experiencing burnout in his own leadership journey—constantly stepping in to fix problems and being needed by everyone—he learned the value of trusting his team instead of controlling outcomes. Today, Andrew helps leaders avoid that same trap by building resilient teams, focusing on relationships, and creating environments where others can succeed. Follow Andrew on Instagram and LinkedIn. Why Regaining Clarity at Work Matters for Developers When regaining clarity at work starts to slip, the symptoms are subtle at first. Decisions take longer. You second-guess yourself more often. Work that once felt engaging starts to feel draining. This isn't a motivation problem. It's a clarity problem. Developers often push through this phase by working longer hours, assuming effort will fix it. In reality, the lack of clarity compounds the problem—leading to frustration, reduced quality, and eventually burnout. How Distractions Undermine Regaining Clarity at Work Modern work environments make regaining clarity at work especially difficult. Messages, emails, meetings, and notifications constantly pull attention away from focused thinking. Even well-intentioned tools can fragment your day into shallow work. The issue isn't that developers aren't capable of focus—it's that focus is constantly interrupted. Over time, this makes it harder to think clearly, prioritize effectively, or feel confident in decisions. The result is mental overload, not progress. Regaining Clarity at Work Through Better Daily Habits One of the most practical ways to regain clarity at work is by examining daily habits. Not in a rigid or extreme way, but by noticing patterns. What creates a good day? What leaves you feeling depleted? Sleep, movement, downtime, and boundaries play a much larger role in clarity than most developers expect. Clarity isn't created in moments of intensity—it's supported by consistency. Self-Discipline as a Foundation for Regaining Clarity at Work Self-discipline is often misunderstood as pushing harder. In reality, it's about protecting the habits that keep your energy stable. Waiting for weekends or vacations to reset burnout doesn't work if every weekday drains you. Regaining clarity at work means building routines that prevent depletion before it happens. Regaining Clarity at Work by Trusting Yourself When developers feel stuck, the instinct is often to search for more input—another article, another video, another framework. But more information rarely creates clarity. In many situations, you already know how to handle the challenge in front of you. Learning to pause, quiet your mind, and trust your experience can be more effective than consuming more advice. Regaining clarity at work often comes from removing noise, not adding insight. Regaining Clarity at Work with Allies and Peer Support Clarity is much easier to regain when you're not working in isolation. Talking through challenges with trusted peers helps break mental loops and introduce new perspectives. These allies don't need to be your manager. In fact, regaining clarity at work often comes faster when support comes from peers across teams or outside your organization—people who understand the context but aren't tied to the outcome. Expanding Beyond Your Manager to Regain Clarity at Work Strong peer relationships act as soundboards. They help you reality-check assumptions, think through decisions, and feel less alone in complex situations. Over time, these relationships become one of the most reliable ways to avoid burnout. Regaining Clarity at Work with Coaching and AI Tools Coaching and AI tools can both support regaining clarity at work, but they serve different roles. Some developers find value in AI prompts or structured reflection. Others need human conversation, body language, and shared experience. For many, a hybrid approach works best—using tools when they're helpful, and people when nuance, accountability, or emotional context matters. The goal isn't to replace connection, but to support clarity when it's needed most. Signs You're Losing Clarity at Work Constant distraction, overthinking, and decision fatigue Relying on weekends or time off as the only recovery strategy Simple Habits That Restore Clarity Daily actions that protect energy and focus Consistency over intensity when rebuilding clarity When to Use Coaching, AI, or Allies Choosing the right support for the situation Combining human insight with practical tools Conclusion Regaining clarity at work isn't about doing more—it's about doing what matters consistently. By protecting your energy, trusting yourself, and leaning on the right support, developers can avoid burnout and move forward with confidence. Take one small step this week toward regaining clarity at work, and start building habits that support sustainable, focused growth. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Detecting and Avoiding Burnout Three Ways To Avoid Burnout Avoid Burnout – Give Time To Yourself Building Better Foundations Podcast Videos – With Bonus Content

Lenny's Podcast: Product | Growth | Career ✓ Claim : Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- Brian Halligan co-founded HubSpot, ran it as CEO for about 15 years, and now coaches Sequoia's fastest-growing founders as their in-house CEO coach.We discuss:1. His LOCKS framework for evaluating founders2. Why you should build your team like the 2004 Red Sox3. Why hiring “spicy” candidates beats consensus picks4. Why enterprise sales will be the last white-collar job AI replaces5. Some of my favorite “Halliganisms”—Brought to you by:Sentry—Code breaks, fix it faster: http://sentry.io/lennyDatadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/sequoia-ceo-coach-why-its-never-been—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Brian Halligan• X: https://x.com/bhalligan• LinkedIn: linkedin.com/in/brianhalligan• Delphi: https://www.delphi.ai/bhalligan• Podcast: https://sequoiacap.com/series/long-strange-trip—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Brian Halligan(03:56) The perpetual state of constructive dissatisfaction(05:25) Coaching CEOs(07:49) The art of interviewing and hiring(11:21) Getting the most out of reference calls(13:10) Homegrown talent vs. big company hires(16:31) Traits of successful CEOs(19:40) Brian's LOCKS framework for evaluating founders(21:34) Are great CEO's born or made?(23:41) Giving effective feedback(25:54) The future of go-to-market strategies(31:56) Understanding forward deployed engineers(34:17) How the CEO role has evolved over the last 20 years(38:10) Halliganisms(01:01:18) The CEO's role in scaling a company(01:02:41) Lightning round and final thoughts—Referenced:• Dev Ittycheria on LinkedIn: https://www.linkedin.com/in/dittycheria• HubSpot: https://www.hubspot.com• Parker Conrad on LinkedIn: https://www.linkedin.com/in/parkerconrad• McKinsey & Company: https://www.mckinsey.com• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Jensen Huang on LinkedIn: https://www.linkedin.com/in/jenhsunhuang• Winston Weinberg on LinkedIn: https://www.linkedin.com/in/winston-weinberg• James Cadwallader on LinkedIn: https://www.linkedin.com/in/jsca• Gabriel Stengel on LinkedIn: https://www.linkedin.com/in/gabestengel• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Scaling Entrepreneurial Ventures: https://orbit.mit.edu/classes/scaling-entrepreneurial-ventures-15.392• OpenClaw: https://openclaw.ai• Ruth Porat on LinkedIn: https://www.linkedin.com/in/ruth-porat• Mike Krzyzewski: https://goduke.com/sports/mens-basketball/roster/coaches/mike-krzyzewski/4159• Dalai Lama's 18 Rules for Living: https://www.prm.nau.edu/prm205/Dalai-Lama-18-rules-for-living.htm• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Kareem Amin on LinkedIn: https://www.linkedin.com/in/kareemamin• Glassdoor: https://www.glassdoor.com• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• Katie Burke on LinkedIn: https://www.linkedin.com/in/katie-burke-965767a• Jerry Garcia: https://en.wikipedia.org/wiki/Jerry_Garcia• Bob Weir: https://en.wikipedia.org/wiki/Bob_Weir• Phil Lesh: https://en.wikipedia.org/wiki/Phil_Lesh• Ron “Pigpen” McKernan: https://en.wikipedia.org/wiki/Ron_%22Pigpen%22_McKernan• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• The American Revolution: https://www.pbs.org/kenburns/the-american-revolution• Delphi: https://www.delphi.ai• Sonos: https://www.sonos.com• Yamini Rangan on LinkedIn: https://www.linkedin.com/in/yaminirangan• The Boston Red Sox: https://www.mlb.com/redsox—Recommended book:• Marketing Lessons from the Grateful Dead: What Every Business Can Learn from the Most Iconic Band in History: https://www.amazon.com/Marketing-Lessons-Grateful-Dead-Business/dp/0470900520—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

I sat down with Max Kaplan, CTO of SolStrategies ($STKE), to break down how Solana validators actually make money — and why most people misunderstand the business model.We covered:•⁠ ⁠Every revenue source for validators•⁠ ⁠Why speed is existential (not cosmetic)•⁠ ⁠Why data centers should behave like power plants — not treasuries•⁠ ⁠Could a Solana validator operate in space?•⁠ ⁠How they acquire and maintain state•⁠ ⁠What 4M delegated SOL actually meansThis is infrastructure alpha most retail never sees.---

The CPG Guys are joined in this episode by Joshua Gebhardt CEO & Co-Founder and Brandon Nutter, CTO & Co-Founder of Ampd which connects paid social campaigns to actual sales at retailers, unlocking new, full-funnel targeting capabilities for brands that want to scale CPG sales from Meta and TikTok ads.Follow Joshua Gebhardt on LinkedIn here: https://www.linkedin.com/in/joshuagebhardt/Follow Brandon Nutter on LinkedIn here: https://www.linkedin.com/in/brandonnutter/ Follow Ampd on LinkedIn here: https://www.linkedin.com/company/ampd-ads/ Follow Ampd online here: https://www.ampd.io/This episode is sponsored by Ampd.We ask Joshua & Brandon these questions:What exactly does Ampd exist to do, and why did you and Brandon set off on this journey as co-founders?Where do you see the media world most ripe for disruption? Where are the biggest "old problems" waiting for new solutions?When you look at paid social today, what are some things brands' competitors are doing that should honestly trigger a little FOMO for anyone not keeping up?You've said discovery and commerce engines are fundamentally disconnected—how did we end up here, and why is that such a big problem for CPG brands?Shopper Journey, and touch on a topic that I know energizes you. “Where to Buy” used to be the standard—why doesn't it work anymore in a social-first, mobile-first world?You talk about brands needing to “move at the speed of culture.” What breaks down when teams can't optimize paid social in-flight?How does a one-click shopper journey change conversion behavior compared to traditional paths to purchase?Can you share the details of that creative split-test you ran for one of the world's leading CPG portfolios?You've built a Next Gen MMM specifically for offsite traffic to Amazon—why is that so important, and what did the beverage brand learn when Meta showed an 8x sales contribution in their ad console?How do you address fair and equitable requirements without limiting growth or causing massive headaches for operators?For CPG leaders who feel like paid social isn't delivering retail results, what's the first step they should take—and how can Ampd help?CPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comSheCOMMERCE Website: https://shecommercepodcast.com/Rhea Raj's Website: http://rhearaj.comLara Raj in Katseye: https://www.katseye.world/DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent.CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

In this conversation, Ricky Ho (CEO of SourceReady) shares his journey as a tech entrepreneur and the insights he has gained in the realm of product sourcing for small businesses. Ricky has spent seven years building in supply chain tech. He previously founded Treelab and now leads SourceReady, backed by $4.5M from investors including the former CTO of Alibaba, the former COO of Flexport, and Peter Diamandis. Brands like Ralph Lauren, Kohl's, and Lidl, along with emerging D2C brands, already use SourceReady to scale their product sourcing with confidence and speed.Ho discusses the challenges faced by small business owners, the role of AI in simplifying sourcing processes, and the emerging product categories that present opportunities for entrepreneurs. Ricky also delves into the intricacies of fundraising and the importance of leveraging attention in the creative economy.KeywordsAI, product sourcing, small business, entrepreneurship, supply chain, creative economy, fundraising, e-commerce, trends, market insights

Jonathan Hillis is the founder and caretaker of Cabin, a network of co-living spaces which link up and vet members in other communities via blockchain technology. His "neighborhood" of intentional living is in beautiful Texas Hill Country an hour outside of Austin, where he lives with friends in a hub-and-spoke model of private accommodation surrounding communal social spaces. He's the former CTO of Coinbase, and you can see how his tech background influences his obsession with scalability (we talk about Metcalf's Law, and the optimum size of "one sauna teams") as well as the non-financial elements of blockchain to that end. It actually reminds me a bit of Neil Stephenson's Franchise-Organized Quasi-National Entities or "burbclaves" in Snow Crash. Cabin strikes me as a kind of libertarian commune (though neither Hillis nor myself ever uses the term). It's big scattered geographic network of modular co-ops you can plug into and out of. Vetting community members is a big thing in communes, and Cabin relies on blockchain technology and somethin akin to personal Yelp reviews to allow people to skip up from Austin, TX to like-minded communities in Santa Fe or Portland, or wherever. He joins to discuss his model, and what day-to-day life is like living in an intentional co-living community.

AI Assisted Coding: Stop Building Features, Start Building Systems with AI What separates vibe coding from truly effective AI-assisted development? In this episode, Adam Bilišič shares his framework for mastering AI-augmented coding, walking through five distinct levels that take developers from basic prompting to building autonomous multi-agent systems. Vibe Coding vs AI-Augmented Coding: A Critical Distinction "The person who is actually creating the app doesn't have to have in-depth overview or understanding of how the app works in the background. They're essentially a manual tester of their own application, but they don't know how the data structure is, what are the best practices, or the security aspects."   Adam draws a clear line between vibe coding and AI-augmented coding. Vibe coding allows non-developers to create functional applications without understanding the underlying architecture—useful for product owners to create visual prototypes or help clients visualize their ideas.  AI-augmented coding, however, is what professional software engineers need to master: using AI tools while maintaining full understanding of the system's architecture, security implications, and best practices. The key difference is that augmented coding lets you delegate repetitive work while retaining deep knowledge of what's happening under the hood. From Building Features to Building Systems "When you start building systems, instead of thinking 'how can I solve this feature,' you are thinking 'how can I create either a skill, command, sub-agent, or other things which these tools offer, to then do this thing consistently again and again without repetition.'"   The fundamental mindset shift in AI-augmented coding is moving from feature-level thinking to systems-level thinking. Rather than treating each task as a one-off prompt, experienced practitioners capture their thinking process into reusable recipes. This includes documenting how to refactor specific components, creating templates for common patterns, and building skills that encode your decision-making process. The goal is translating your coding practices into something the AI can repeatedly execute for any new feature. Context Management: The Critical Skill For Working With AI "People have this tendency to install everything they see on Reddit. They never check what is then loaded within the context just when they open the coding agent. You can check it, and suddenly you see 40 or 50% of your context is taken just by MCPs, and you didn't do anything yet."   One of the most overlooked aspects of AI-assisted coding is context management. Adam reveals that many developers unknowingly fill their context window with MCP (Model Context Protocol) tools they don't need for the current task. The solution is strategic use of sub-agents: when your orchestrator calls a front-end sub-agent, it gets access to Playwright for browser testing, while your backend agent doesn't need that context overhead. Understanding how to allocate context across specialized agents dramatically improves results. The Five Levels of AI-Augmented Coding "If you didn't catch up or change your opinion in the last 2-3 years, I would say we are getting to the point where it will be kind of last chance to do so, because the technology is evolving so fast."   Adam outlines a progression from beginner to expert:   Level 1 - Master of Prompts: Learning to write effective prompts, but constantly repeating context about architecture and preferences Level 2 - Configuration Expert: Using files like .cursorrules or CLAUDE.md to codify rules the agent should always follow Level 3 - Context Master: Understanding how to manage context efficiently, using MCPs strategically, creating markdown files for reusable information Level 4 - Automation Master: Creating custom commands, skills, and sub-agents to automate repetitive workflows Level 5 - The Orchestrator: Building systems where a main orchestrator delegates to specialized sub-agents, each running in their own context window The Power of Specialized Sub-Agents "The sub-agent runs in his own context window, so it's not polluted by whatever the orchestrator was doing. The orchestrator needs to give him enough information so it can do its work."   At the highest level, developers create virtual teams of specialized agents. The orchestrator understands which sub-agent to call for front-end work, which for backend, and which for testing. Each agent operates in a clean context, focused on its specific domain. When the tester finds issues, it reports back to the orchestrator, which can spin up the appropriate agent to fix problems. This creates a self-correcting development loop that dramatically increases throughput.   In this episode, we refer to the Claude Code subreddit and IndyDevDan's YouTube channel for learning resources.   About Adam Bilišič Adam Bilišič is a former CTO of a Swiss company with over 12 years of professional experience in software development, primarily working with Swiss clients. He is now the CEO of NodeonLabs, where he focuses on building AI-powered solutions and educating companies on how to effectively use AI tools, coding agents, and how to build their own custom agents.   You can connect with Adam Bilišič on LinkedIn and learn more at nodeonlabs.com. Download his free guide on the five levels of AI-augmented coding at nodeonlabs.com/ai-trainings/ai-augmented-coding#free-guide.

In this episode, I'm joined by Bill Briggs, CTO at Deloitte, for a straight-talking conversation about why so many organizations get stuck in what he calls "pilot purgatory," and what it takes to move from impressive demos to measurable outcomes. Bill has spent nearly three decades helping leaders translate the "what" of new technology into the "so what," and the "now what," and he brings that lens to everything from GenAI to agentic systems, core modernization, and the messy reality of technical debt. We start with a moment of real-world context, Bill calling in from San Francisco with Super Bowl week chaos nearby, and the funny way Waymo selfies quickly turn into "oh, another Waymo" once the novelty fades. That same pattern shows up in enterprise tech, where shiny tools can grab attention fast, while the harder work, data foundations, APIs, governance, and process redesign, gets pushed to the side. Bill breaks down why layering AI on top of old workflows can backfire, including the idea that you can "weaponize inefficiency" and end up paying for it twice, once in complexity and again in compute costs. From there, we get into his "innovation flywheel" view, where progress depends on getting AI into the hands of everyday teams, building trust beyond the C-suite, and embedding guardrails into engineering pipelines so safety and discipline do not rely on wishful thinking. We also dig into technical debt with a framing I suspect will stick with a lot of listeners. Bill explains three types, malfeasance, misfeasance, and non-feasance, and why most debt comes from understandable trade-offs, not bad intent. It leads into a practical discussion on how to prioritize modernization without falling for simplistic "cloud good, mainframe bad" narratives. We finish with a myth-busting riff on infrastructure choices, a quick look at what he sees coming next in physical AI and robotics, and a human ending that somehow lands on Beach Boys songs and pinball machines, because tech leadership is still leadership, and leaders are still people. So after hearing Bill's take, where do you think your organization is right now, measurable outcomes, success theater, or somewhere in between, and what would you change first, and please share your thoughts?   Useful Links Connect With Bill Briggs Deloitte Tech Trends 2026 report Deloitte The State of AI in the Enterprise report

Brian Halligan co-founded HubSpot, ran it as CEO for about 15 years, and now coaches Sequoia's fastest-growing founders as their in-house CEO coach.We discuss:1. His LOCKS framework for evaluating founders2. Why you should build your team like the 2004 Red Sox3. Why hiring “spicy” candidates beats consensus picks4. Why enterprise sales will be the last white-collar job AI replaces5. Some of my favorite “Halliganisms”—Brought to you by:Sentry—Code breaks, fix it faster: http://sentry.io/lennyDatadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/sequoia-ceo-coach-why-its-never-been—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Brian Halligan• X: https://x.com/bhalligan• LinkedIn: linkedin.com/in/brianhalligan• Delphi: https://www.delphi.ai/bhalligan• Podcast: https://sequoiacap.com/series/long-strange-trip—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Brian Halligan(03:56) The perpetual state of constructive dissatisfaction(05:25) Coaching CEOs(07:49) The art of interviewing and hiring(11:21) Getting the most out of reference calls(13:10) Homegrown talent vs. big company hires(16:31) Traits of successful CEOs(19:40) Brian's LOCKS framework for evaluating founders(21:34) Are great CEO's born or made?(23:41) Giving effective feedback(25:54) The future of go-to-market strategies(31:56) Understanding forward deployed engineers(34:17) How the CEO role has evolved over the last 20 years(38:10) Halliganisms(01:01:18) The CEO's role in scaling a company(01:02:41) Lightning round and final thoughts—Referenced:• Dev Ittycheria on LinkedIn: https://www.linkedin.com/in/dittycheria• HubSpot: https://www.hubspot.com• Parker Conrad on LinkedIn: https://www.linkedin.com/in/parkerconrad• McKinsey & Company: https://www.mckinsey.com• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Jensen Huang on LinkedIn: https://www.linkedin.com/in/jenhsunhuang• Winston Weinberg on LinkedIn: https://www.linkedin.com/in/winston-weinberg• James Cadwallader on LinkedIn: https://www.linkedin.com/in/jsca• Gabriel Stengel on LinkedIn: https://www.linkedin.com/in/gabestengel• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Scaling Entrepreneurial Ventures: https://orbit.mit.edu/classes/scaling-entrepreneurial-ventures-15.392• OpenClaw: https://openclaw.ai• Ruth Porat on LinkedIn: https://www.linkedin.com/in/ruth-porat• Mike Krzyzewski: https://goduke.com/sports/mens-basketball/roster/coaches/mike-krzyzewski/4159• Dalai Lama's 18 Rules for Living: https://www.prm.nau.edu/prm205/Dalai-Lama-18-rules-for-living.htm• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Kareem Amin on LinkedIn: https://www.linkedin.com/in/kareemamin• Glassdoor: https://www.glassdoor.com• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• Katie Burke on LinkedIn: https://www.linkedin.com/in/katie-burke-965767a• Jerry Garcia: https://en.wikipedia.org/wiki/Jerry_Garcia• Bob Weir: https://en.wikipedia.org/wiki/Bob_Weir• Phil Lesh: https://en.wikipedia.org/wiki/Phil_Lesh• Ron “Pigpen” McKernan: https://en.wikipedia.org/wiki/Ron_%22Pigpen%22_McKernan• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• The American Revolution: https://www.pbs.org/kenburns/the-american-revolution• Delphi: https://www.delphi.ai• Sonos: https://www.sonos.com• Yamini Rangan on LinkedIn: https://www.linkedin.com/in/yaminirangan• The Boston Red Sox: https://www.mlb.com/redsox—Recommended book:• Marketing Lessons from the Grateful Dead: What Every Business Can Learn from the Most Iconic Band in History: https://www.amazon.com/Marketing-Lessons-Grateful-Dead-Business/dp/0470900520—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com