Podcasts about API

In this groundbreaking first in-studio episode of The Authentic Dentist Podcast, Dr. Allison House and Shawn Zajas sit down with Adrian Lefler, founder of My Social Practice, to unpack the seismic shifts reshaping dental marketing and practice management.Adrian's journey into dentistry began unconventionally—emerging from bankruptcy in 2009, he discovered how to get businesses on the front page of Google and partnered with a colleague who had access to 3,500 dental practice contacts. What started as survival became a 15-year deep dive into understanding the unique challenges dentists face in marketing their practices.The conversation reveals why dentists make ideal clients: they're intelligent, ethical, pay their bills on time, and navigate extraordinary complexity managing both clinical excellence and business operations. Yet this same complexity creates vulnerability to marketing companies that don't understand the nuances of local, relationship-based dental practices versus national brand strategies.Adrian delivers immediately actionable insights, emphasizing that Google Reviews remain the most critical marketing investment. With three out of four potential patients checking reviews before making decisions, a robust Google Review profile becomes the filtering system for all other marketing efforts—making or breaking even six-figure advertising campaigns.The discussion takes a fascinating turn into AI's disruption of traditional search engine optimization. As Google integrates AI overviews at the top of search results, conventional advertising models are collapsing. Ad costs have doubled or tripled as fewer people scroll past AI-generated answers to click on paid advertisements. Adrian explains how AI doesn't just match keywords—it analyzes context, sentiment, and nuance in longer conversational search queries, fundamentally changing how dental practices must approach content creation.Perhaps most provocative is the revelation about practice management system data ownership. While doctors legally own their patient data, PMS companies charge multiple third-party vendors for API access to that same information—costs ultimately passed to dentists. Adrian proposes a revolutionary solution: an open-source PMS where dentists receive payment when vendors access their data, potentially reducing costs by hundreds of dollars monthly while maintaining superior functionality.The conversation doesn't shy away from emerging challenges: cloud-based systems that hold data hostage when contracts end, the rapid proliferation of AI products promising to revolutionize everything from scheduling to note-taking, and the consolidation wave that will inevitably follow as successful solutions absorb competitors.Adrian's vision for dentistry's future includes AI receptionists that never tire, conversational interfaces replacing traditional search, and the potential for collaborative dental centers—hospital-like facilities where practitioners share expensive technology like CBCT machines, CEREC equipment, and specialists under one roof, dramatically reducing individual overhead while elevating care quality.This episode challenges dentists to think differently about marketing, data ownership, and practice structure. It's a masterclass in understanding not just what's changing, but why it matters and how to position yourself for success in an AI-transformed landscape.Subscribe to the podcast on APPLE: https://podcasts.apple.com/us/podcast/the-authentic-dentist/id1487586274Or SPOTIFY: https://open.spotify.com/show/6qapfaNRkcIlCjgIsftb60?si=d02c74cf4f924897

We weigh the promise and peril of the AI agent economy, pressing into how overprovisioned non-human identities, shadow AI, and SaaS integrations expand risk while go-to-market teams push for speed. A CMO and a CFO align on governance-first pilots, PLG trials, buyer groups, and the adoption metrics that sustain value beyond the sale.• AI adoption surge matched by adversary AI• Overprovisioned agents and shadow AI in SaaS• Governance thresholds before budget scale• PLG trials, sandbox, and POV sequencing• Visualization to reach the aha moment• Buying groups, ICP, and economic buyer alignment• Post‑sales usage, QBRs, NRR and churn signals• Zero trust limits and non-human identities• Breach disclosures as industry standards• Co-sourcing MSSP with in-house oversightSecurity isn't slowing AI down; it's the unlock that makes enterprise AI valuable. We dive into the AI agent economy with a CMO and a CFO who meet in the messy middle. The result is a practical blueprint for moving from hype to governed production without killing momentum.We start by mapping where controls fail: once users pass SSO and MFA, agents often operate beyond traditional identity and network guardrails. That's how prompts pull sensitive deal data across Salesforce and Gmail, and how third‑party API links expand the attack surface. From there, we lay out an adoption sequence that balances trust and speed. Think frictionless free trials and sandboxes that reach an immediate “aha” visualization of shadow AI and permissions, then progress to a scoped POV inside the customer's environment with clear policies and measurable outcomes. Along the way, we detail the buying group: economic buyers who sign and practitioners who live in the UI, plus the finance lens that sets pilot capital, milestones, and time-to-value expectations.We also challenge sacred cows. Zero trust is essential, but attackers increasingly log in with valid credentials and pivot through integrations, so verification must include non-human identities and agent-to-agent controls. Breach disclosures, far from being a greater threat than breaches, are foundational to ecosystem trust and faster remediation. And while MSSPs add critical scale, co-sourcing—retaining strategic oversight and compliance ownership—keeps accountability inside. If you care about ICP, PLG motions, PQLs, NRR, or simply reducing AI risk while driving growth, this conversation turns buzzwords into a playbook you can run.Vamshi Sriperumbudur: https://www.linkedin.com/in/vamsriVamshi Sriperumbudur was recently the CMO for Prisma SASE at Palo Alto Networks, where he led a complete marketing transformation, driving an impact of $1.3 billion in ARR in 2025 (up 35%) and establishing it as the platform leader.  Chithra Rajagopalan - https://www.linkedin.com/in/chithra-rajagopalan-mba/Chithra Rajagopalan is the Head of Finance at Obsidian Security and former Head of Finance at Glue, and she is recognized as a leader in scaling businesses. Chithra is also an Investor and Advisory Board member for Campfire, serving as the President and Treasurer of Blossom Projects.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

Neem is a Pakistan-based fintech startup building the payments infrastructure that simply doesn't exist in the world's fifth largest country. While 71% of transactions still happen in cash, businesses juggle 10+ payment providers just to collect money or pay vendors. Neem has built the full stack: collections, disbursements, branded wallets, and unified reconciliation—all through a single API.Founded by Vladimira, Nadeem, and Naeem—a former fintech accelerator builder, the ex-CEO of Pakistan's largest fintech JazzCash, and a former Pakistani Minister of Investment—Neem went live in January 2025 and already powers 50+ enterprise clients including the country's largest logistics provider (2 million packages/day), three top insurers, and healthcare platforms serving millions of patients.With digital transactions growing 40% year over year and government backing the shift to cashless, Neem is laying the financial rails for 2.5 million+ underserved businesses in a market where Stripe, Razorpay, and Adyen don't operate.Angel investor Mahrukh Qadeer joins the Investor Talk at the end of this podcast.Hosted by Maaike Doyer & Hester Spiegel, founders of Epic Angels.

Google lanza Nano Banana Pro con texto claro, control avanzado y mejor razonamiento visual para creadores  Por Félix Riaño @LocutorCo  Si quieres apoyar este pódcast y escucharlo sin comerciales en la app de Spreaker, puedes unirte al Club de Supporters por solo 2 dólares al mes. Gracias por apoyar el Flash Diario y ayudar a que siga creciendo.  Nano Banana Pro mejora la creación visual con texto legible, razonamiento avanzado y controles de edición precisos.Google presentó Nano Banana Pro, una actualización que hace más natural la creación de imágenes dentro de Gemini. El texto dentro de las fotos ya no parece escrito al revés, las referencias se mezclan con más orden y las instrucciones largas se entienden sin enredos. Es una mejora que se siente cuando la herramienta responde por fin como querías desde el principio.Y eso deja una duda muy realista: si ya crea imágenes con tanto detalle, ¿cuánto falta para que también arme una serie completa… y la historia tenga más sentido que la última temporada de nuestra serie favorita?Invitación al apoyo del pódcast  Nano Banana Pro evoluciona lo que ya hacía el modelo anterior, pero ahora se apoya en Gemini 3 Pro para interpretar mejor las instrucciones. El cambio más visible está en el texto dentro de las imágenes. Ya no hay letras deformes ni frases incompletas. Las palabras aparecen bien formadas, incluso en varios idiomas, lo que permite crear etiquetas, diagramas y diseños con más claridad.El modelo también permite usar hasta 14 imágenes de referencia y conserva la identidad de hasta cinco personas dentro de una misma composición. No distorsiona rasgos ni cambia rostros cuando se mezclan varias fuentes. Esto ayuda en diseño, publicidad, educación y creación de personajes. La herramienta entiende mejor la idea general y arma una imagen final con más orden y coherencia.  Esta mejora trae un reto que no podemos ignorar: ya no es tan fácil detectar imágenes creadas con IA. Las fallas tipográficas eran una pista rápida para saber si una foto era falsa. Esa pista desapareció. Esto complica la verificación de contenido en redes sociales, donde las imágenes se comparten sin contexto.Google usa SynthID, un marcador invisible que permite identificar si una imagen viene de sus modelos. Pero algunos estudios demostraron que estas marcas se pueden borrar con herramientas avanzadas. Además, muchas plataformas todavía no muestran alertas automáticas sobre imágenes generadas con IA. Eso significa que la verificación queda en manos de cada usuario, lo que abre una brecha entre lo que vemos y lo que podemos confirmar.  Nano Banana Pro ofrece controles que antes solo se encontraban en estudios profesionales. Puedes ajustar iluminación, ángulos de cámara, profundidad de campo, colores y transformaciones completas en escenas, como cambiar de día a noche. También genera contenido en 2K y 4K para pantallas grandes o impresos.El modelo está disponible en la app de Gemini, en la API para desarrolladores, en Google Ads, en Workspace, en NotebookLM y dentro de Adobe Firefly y Photoshop. En estas herramientas permite crear piezas visuales complejas, ajustar detalles con precisión y trabajar con varias referencias sin perder coherencia. Con este lanzamiento, Google acerca funciones avanzadas a más personas.  Nano Banana Pro convierte instrucciones simples en diagramas e infografías basadas en datos reales. Gracias a su conexión con Google Search, puede representar recetas, estados del tiempo o información educativa sin pasos intermedios. Esto puede ser útil para estudiantes, profesores, periodistas o equipos creativos.En precios, la orientación profesional es clara. Una imagen 2K cuesta $0,139 dólares y una imagen 4K cuesta $0,24 dólares. En la app de Gemini, las cuentas gratuitas tienen un número limitado de generaciones antes de volver al modelo anterior.Las imágenes generadas llevan SynthID y, en planes básicos, un distintivo visible llamado “Gemini sparkle”. En el plan Ultra, esta marca visible no aparece. Google planea llevar la verificación también a audio y video con esta misma tecnología.Segmento adicional: agradecimiento para oyentesGracias por estar aquí cada día. Este espacio existe para que entendamos juntos la tecnología sin ruido y con buena energía. A quienes escuchan desde hace tiempo, gracias por su compañía constante. Y a quienes llegan por primera vez, bienvenidos. Este pódcast es para ustedes.  Nano Banana Pro ya aparece en varios servicios de Google. En Workspace funciona dentro de Slides y Vids para crear presentaciones visuales completas. En Google Ads permite generar piezas adaptadas a campañas. En Google Antigravity ayuda a diseñar prototipos e interfaces desde bocetos.Adobe integró el modelo dentro de Firefly y Photoshop. En Photoshop impulsa Generative Fill con ajustes de iluminación, perspectiva y textura. En Firefly combina referencias y genera composiciones complejas para proyectos editoriales o publicitarios. Esto acelera la creación visual y sube el nivel de detalle disponible para cualquier persona. Medios, empresas y creadores independientes verán una transformación en sus flujos de trabajo.  )Nano Banana Pro mejora la creación visual con texto claro, ediciones detalladas y composiciones más estables. Ofrece nuevas opciones creativas y abre preguntas sobre cómo verificamos lo que vemos en pantalla.Puedes seguir el pódcast en Flash Diario en Spotify.  Nano Banana Pro crea texto claro, mezcla referencias y trabaja en 4K. Facilita diseños avanzados y complica distinguir imágenes reales.Bibliografía The VergeInteresting EngineeringAdobe BlogCNETThe RegisterZDNetTechRadarTechCrunchGoogle Blog – TipsGoogle Blog – DeepMindGoogle Blog – Español

Aujourd'hui, les IA nous répondent. Demain, elles agiront pour nous.Charles Sonigo a compris que la vraie révolution de l'IA ne se joue pas dans les modèles de langage, mais dans leur capacité à interagir avec nos outils.En 2024, après avoir observé des agents IA galérer sur des actions pourtant simples, il se convainc qu'il faut repenser la façon dont l'IA communique avec les services existants.Début 2025, il cofonde Alpic, une startup entièrement dédiée au protocole MCP (Model Context Protocol), qui permet aux agents IA d'utiliser nativement les produits et services web.Dans cet épisode, Charles nous explique ce qu'est MCP, comment il se différencie d'une API traditionnelle, et pourquoi ce protocole pourrait bien devenir une des couches critiques de l'Internet de demain.On parle aussi de sécurité, d'expérience agentique, et des erreurs à éviter quand on conçoit un MCP serveur.————— PARTENARIAT —————Cet épisode est réalisé en partenariat avec NextLevel, qui accompagne les équipes tech dans l'adoption de l'IA et la création de Playbooks IA pour les équipes tech.————— CHARLES SONIGO —————Retrouvez Charles sur LinkedIn : https://www.linkedin.com/in/charles-sonigo-135a4340/Découvrez Alpic : https://alpic.ai————— CHAPITRAGE —————(01:12) Introduction à l'Opinionated(02:32) L'expertise de Charles(03:35) Qu'est-ce qu'un MCP ?(09:09) La différence avec une API traditionnelle(09:46) L'expérience agentique(17:57) Genèse du protocole MCP(19:14) Évolutions du MCP(21:46) Les enjeux de sécurité(34:58) Comment concevoir un MCP ?(49:54) Déploiement et Distribution(52:21) Intégration des MCP Serveurs(01:01:35) Mission d'Alpic et Hébergement(01:03:47) Cas d'Usage de MCP(01:09:27) Sécurité et Confiance dans les MCP(01:11:37) Erreurs et antipatterns des MCP(01:17:57) Ressources pour développeurs————— RESSOURCES —————Protocole MCP (Model Context Protocol)Services de LLM : Le Chat (Mistral), Claude (Anthropic), ChatGPT (OpenAI)Cursor et VS CodeMCP Server utilisés par Charles : GitHub, Sentry, LinearFrameworks d'authentification : Stitch, WorkOS, ScaleKitMCP Inspector (Anthropic)MCP JamCloudflareZillowStreamrootPassport.dev, le sponsor de ce hors-sérieAlpic : plateforme de hosting MCP cofondée par Charles————— 5 ÉTOILES —————Si cet épisode vous a plu, pensez à laisser une note et un commentaire - c'est la meilleure façon de faire découvrir le podcast à d'autres personnes !Envoyez-moi une capture de cet avis (LinkedIn ou par mail à dx@donatienleon.com) et je vous enverrai une petite surprise en remerciement.

The US and allies sanction Russian bulletproof hosting providers. The White House looks to sue states over AI regulations. The US Border Patrol flags citizens' “suspicious” travel patterns. Lawmakers seek to strengthen the SEC's cybersecurity posture. A new Android banking trojan captures content from end-to-end encrypted apps. A hidden browser API raises security concerns. Fortinet patches a zero-day. A Philippine former mayor gets life in prison for scam center human trafficking. Our guest is Cliff Crosland, CEO and Co-founder at Scanner.dev, discussing why security data lakes are ideal for AI in the SOC. Green energy gets hijacked for a blockchain side-hustle.  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 On our Industry Voices segment, we are joined by Cliff Crosland, CEO and Co-founder at Scanner.dev, discussing why security data lakes are ideal for AI in the SOC. Listen to Cliff's full conversation here. Selected Reading Russian bulletproof hosting provider sanctioned over ransomware ties (Bleeping Computer) White House drafts order directing Justice Department to sue states that pass AI regulations (Washington Post) Border Patrol is monitoring US drivers and detaining those with 'suspicious' travel patterns (Associated Press) Lawmakers reintroduce bill to bolster cybersecurity at Securities and Exchange Commission (The Record) Multi-threat Android malware Sturnus steals Signal, WhatsApp messages (Bleeping Computer) Hidden API in Comet AI browser raises security red flags for enterprises (CSO Online) Eternidade Stealer Trojan Fuels Aggressive Brazil Cybercrime (Infosecurity Magazine) Fortinet Patches Actively Exploited FortiWeb Zero Day Flaw (HIPAA Journal) Ex-Philippine mayor Alice Guo given life sentence for human trafficking (Reuters) Wind farm worker sentenced after turning turbines into a secret crypto mine (Bitdefender) 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

In this episode of Mission Matters, ⁠Adam Torres⁠ welcomes ⁠Kasey Ma⁠, Founder and CEO of Untamed Agency. They discuss Casey's unique journey from studying economics at NYU to becoming a fashion influencer and ultimately founding her own influencer marketing agency. Casey shares insights about the mission of her agency, her experiences as an Asian-American influencer, and the significance of the API community. The conversation also touches on her involvement in reality TV, and the upcoming AAPI Holiday Charity Gala hosted by Untamed Agency. Follow Adam on Instagram at ⁠https://www.instagram.com/askadamtorres/⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠https://missionmatters.lpages.co/podcastguest/⁠ Visit our website: ⁠https://missionmatters.com/⁠ More FREE content from Mission Matters here: ⁠https://linktr.ee/missionmattersmedia⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Rahul Vohra is the Founder and CEO of Superhuman Mail.Rahul sold his company to Grammarly in July of 2025, which had just acquired Coda in 2024. Following the acquisitions, the combined companies rebranded to Superhuman in October of 2025.And it's quietly one of the most underrated businesses that no one is talking about, with over $700 million ARR and 40 million Daily Active Users. Grammarly spent 15+ years building integrations with over a million other products, that they're now layering more AI products on top of.We talk about Rahul's journey building Superhuman, go inside the acquisition, all the lessons he's learned from selling two companies, why you should design your product like a video game, and we also re-visit his famous quantitative guide to finding PMF.Thanks to Todd Goldberg, Ed Sim, Shomik Ghosh, Ryan Hoover, and Rahul's brother Gaurav Vohra for helping brainstorm topics for this conversation.Thank you to Hanover Park for supporting this episode! Upgrade your fund admin to the 21st century https://www.hanoverpark.com/TurnerTimestamps:(2:42) Inside the Superhuman acquisition(11:09) Grammarly: $700M ARR, 40M DAUs(18:53) How to sequence your product roadmap(24:43) Vision for the new Superhuman(32:43) Build your product like a video game(38:24) Designing Karamja island in Runescape(41:10) Build products like toys and games(44:53) Starting a Machine Learning PhD in 2006(48:49) Dropping out to start his first company(50:47) Rapportive's crazy accidental launch(57:56) Meeting Superhuman co-founders(1:02:17) Being 1 of 20 to access LinkedIn's API(1:06:38) Almost getting acquired by LinkedIn(1:10:32) Nearly dieing, getting acquired with 2 weeks of runway(1:20:08) Diligence from VCs vs Acquirers(1:26:37) Rahul's quantitative framework for PMF(1:30:45) How to build an enduring brand(1:31:51) Rahul's AI-powered productivity stack(1:35:01) Todd and Rahul's angel fund(1:36:45) We need more solo foundersReferencedSuperhuman: https://www.superhuman.comGrammarly: https://www.grammarly.comHigh Resolution Fundraising: https://paulgraham.com/hiresfund.htmlHigh Resolution Fundraising: https://paulgraham.com/hiresfund.htmlSuperhuman Quantitative Framework for Finding PMF: https://review.firstround.com/how-superhuman-built-an-engine-to-find-product-market-fit/Whisper Flow: https://wisprflow.aiFollow RahulTwitter: https://x.com/rahulvohraLinkedIn: https://www.linkedin.com/in/rahulvohra/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

In this episode of Mission Matters, ⁠⁠Adam Torres⁠⁠ welcomes ⁠⁠Kasey Ma⁠⁠, Founder and CEO of Untamed Agency. They discuss Kasey's unique journey from studying economics at NYU to becoming a fashion influencer and ultimately founding her own influencer marketing agency. Kasey shares insights about the mission of her agency, her experiences as an Asian-American influencer, and the significance of the API community. The conversation also touches on her involvement in reality TV, and the upcoming AAPI Holiday Charity Gala hosted by Untamed Agency. Follow Adam on Instagram at ⁠⁠https://www.instagram.com/askadamtorres/⁠⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠⁠https://missionmatters.lpages.co/podcastguest/⁠⁠ Visit our website: ⁠⁠https://missionmatters.com/⁠⁠ More FREE content from Mission Matters here: ⁠⁠https://linktr.ee/missionmattersmedia⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Semaine marquée par la panne mondiale de Cloudflare qui a ralenti 20% du web, tandis que Google lançait Gemini 3 Pro, son modèle d'IA destiné à concurrencer ChatGPT et redéfinir la bataille des géants.Le chaos Cloudflare et ses effets en cascadeLa semaine a été secouée par une panne majeure chez Cloudflare, un acteur essentiel mais discret du web mondial. Ce service, pilier de la sécurité et de l'accélération des sites, a connu un incident critique causé par un fichier de configuration devenu trop volumineux. Résultat : environ 20% du web mondial perturbé pendant plusieurs heures. Des plateformes comme X, Reddit, Discord ou encore des services de paiement et de transport ont été touchés.Cet épisode rappelle la dépendance extrême de l'infrastructure mondiale à quelques acteurs clefs et montre à quel point des erreurs humaines peuvent provoquer des perturbations massives. Une fragilité inquiétante à l'heure où les usages numériques explosent.Google relance la bataille avec Gemini 3 ProAu même moment, Google a dévoilé discrètement mais clairement son nouveau modèle Gemini 3 Pro, pensé pour concurrencer frontalement ChatGPT 5.1 et Claude Opus 4.1.Selon les benchmarks, notamment LM Arena, Gemini 3 Pro prend la tête grâce à des évaluations humaines. Sa force : une multimodalité native (texte, image, audio) encore améliorée, une grande rapidité pour la génération d'images et un duo de modes — rapide ou “thinking” — qui lui permet soit de répondre instantanément, soit de vérifier rigoureusement ses hypothèses avant de produire une réponse.L'agentification, clé de la nouvelle génération d'IAGemini 3 Pro introduit aussi des capacités agentiques plus avancées via les nouvelles API et des plateformes comme Google Antigravity. L'objectif : permettre à l'IA d'exécuter des actions complexes et de générer du code en fonction d'objectifs, le fameux “vibe coding”.Google promet un modèle moins “psychophantique”, plus direct, même si les premiers tests montrent une tendance persistante à la flatterie. Reste l'enjeu majeur : la conquête du public. Avec 500 millions d'utilisateurs contre 800 millions pour ChatGPT, Google mise sur un déploiement massif — Android, iOS, Search — même si certaines fonctions ne sont pas encore disponibles en France.-----------♥️ Soutien : https://mondenumerique.info/don

The source is an excerpt from a radio interview featuring Dani García Cron, an experienced security auditor and ethical hacker, who discusses the current landscape of cybersecurity with the hosts. A major theme of the discussion is the critical need for effective and accessible cybersecurity education, with Cron emphasizing that "studying and learning are not the same" and that training should be concise and easy to understand. The conversation also heavily focuses on API security, which Cron identifies as a significant, growing problem for large corporations, noting that traditional security measures are often inadequate for protecting these essential communication interfaces in modern applications. Furthermore, the participants address the need for better security training within development teams, acknowledging the disconnect and communication gap often present between developers and security professionals. Twitter: @ciberafterwork Instagram: @ciberafterwork Panda Security: https://www.pandasecurity.com/es/ +info: https://psaneme.com/ https://bitlifemedia.com/ https://www.vapasec.com/ VAPASEC https://www.vapasec.com/ https://www.vapasec.com/webprotection/

Check the episode transcript hereABOUT SCOTT SAUNDERS Scott Saunders is a Senior Vice President with Asset Preservation, Inc. (API), A subsidiary of Steward Information Services Corporation. Scott has an extensive background in IRC §1031 exchanges, having been involved in hundreds of thousands of 1031 exchanges during his 37 years in the exchange industry. Mr. Saunders presents classes on advanced §1031 exchange strategies to accountants, attorneys, financial advisors, real estate brokers and principals. Mr. Saunders received his bachelor degree in Business Economics from the University of California at Santa Barbara.  THIS TOPIC IN A NUTSHELL:  Understanding the Basics of 1031 Exchanges What qualifies as a "like-kind" property? Why 1031 exchanges are a key tool in deferring capital gains tax The role and importance of a Qualified Intermediary The 45-day identification window explained The 180-day completion requirement How to identify replacement properties Trading up from residential to commercial or multifamily Simplifying your portfolio through consolidation Geographic diversification to manage risk Reverse and build-to-suit exchanges The most common mistakes investors make during a 1031 Why early planning is crucial for a successful transaction Growing interest in DSTs (Delaware Statutory Trusts) How inflation and rising interest rates are changing investor strategy Regional investment shifts and institutional-style diversification Final Takeaways Connect with Scott   KEY QUOTE:  “Deferred taxes are dollars you can reinvest — and that's how portfolios grow faster."  ABOUT THE WESTSIDE INVESTORS NETWORK    The Westside Investors Network is your community for investing knowledge for growth. For real estate professionals by real estate professionals. This show is focused on the next step in your career... investing, for those starting with nothing to multifamily syndication.    The Westside Investors Network strives to bring knowledge and education to real estate professionals that is seeking to gain more freedom in their life. The host AJ and Chris Shepard, are committed to sharing the wealth of knowledge that they have gained throughout the years to allow others the opportunity to learn and grow in their investing. They own Uptown Properties, a successful Property Management, and Brokerage Company. If you are interested in Property Management in the Portland Metro or Bend Metro Areas, please visit www.uptownpm.com. If you are interested in investing in multifamily syndication, please visit www.uptownsyndication.com.    #1031Exchange #Reverse1031 #RealEstateInvesting #RealEstateInvestor #TaxStrategy #RealEstateTaxBenefits #RealEstatePortfolio #InvestmentProperty #ReverseExchange #CashFlowRealEstate #PassiveIncome #WealthBuilding #BuildWealth #ScaleYourPortfolio #RealEstateEducation #RentalPropertyInvesting #LongTermInvesting #WealthStrategy #GenerationalWealth #AssetProtection #TaxDeferral #PropertyInvesting #RealEstateTips #InvestorMindset #FinancialFreedom #RealEstateTaxes #CostSegregation #BonusDepreciation #SmartInvesting #RealEstateGrowth   CONNECT WITH SCOTT: LinkedIn: https://www.linkedin.com/in/scott-r-saunders-6278273      CONNECT WITH US    For more information about investing with AJ and Chris:  · Uptown Syndication | https://www.uptownsyndication.com/  · LinkedIn | https://www.linkedin.com/company/71673294/admin/   For information on Portland Property Management:  · Uptown Properties | http://www.uptownpm.com  · Youtube | @UptownProperties    Westside Investors Network  · Website | https://www.westsideinvestorsnetwork.com/  · Twitter | https://twitter.com/WIN_pdx  · Instagram | @westsideinvestorsnetwork  · LinkedIn | https://www.linkedin.com/groups/13949165/  · Facebook | @WestsideInvestorsNetwork  · Tiktok| @WestsideInvestorsNetwork  · Youtube | @WestsideInvestorsNetwork  

My guest on the show today is Jacob Stephan, Senior Research Analyst at Lake Street Capital Markets. He recently authored a “Crypto Industry” white paper, and I invited him on to break it down. In this episode, Jacob lays out why digital assets have crossed into institutional viability—a “normalization phase” driven by clearer regulation, enterprise-grade infrastructure, and real corporate adoption. We discuss the internet-style adoption curve (crypto at ~7% global penetration), why regulation is the cornerstone of investability (FIT 21 progress, the new FASB fair-value accounting, and pending clarity in the U.S.), and how stablecoins—“dollars with an API”—are emerging as the killer app with multi-trillion settlement volumes. Jacob walks through concrete examples from Visa, Mastercard, and JPMorgan moving beyond pilots to on-chain settlement, and contrasts stablecoins' payment utility with Bitcoin's treasury/“digital gold” role. We also cover the nuanced risks: centralization at the access layer (custody, cloud, compliance), state-by-state regulatory differences, speculative micro-cap “crypto treasury” raises, and why bipartisan momentum reduces—but doesn't eliminate—policy risk. Finally, Jacob shares the “picks and shovels” angle—cloud, fintech/payments, and semiconductors—as scalable ways to participate in the build-out without direct token exposure, and why even low single-digit institutional allocations could materially move the asset class. We discussed a number of crypto currencies in today's episode. Jacob owns SOL, SUI and BTC, and for full disclosure, I also own BTC. For more information about Lake Street Capital Markets, please visit: https://www.lakestreetcapitalmarkets.com/ Planet MicroCap Podcast is on YouTube! All archived episodes and each new episode will be posted on the Planet MicroCap YouTube channel. I've provided the link in the description if you'd like to subscribe. You'll also get the chance to watch all our Video Interviews with management teams, educational panels from the conference, as well as expert commentary from some familiar guests on the podcast. Subscribe here: http://bit.ly/1Q5Yfym Click here to rate and review the Planet MicroCap Podcast The Planet MicroCap Podcast is brought to you by SNN Incorporated, The Official MicroCap News Source, and the Planet MicroCap Review Magazine, the leading magazine in the MicroCap market. You can Follow the Planet MicroCap Podcast on Twitter @BobbyKKraft

In this episode of Technology Reseller News, Publisher Doug Green speaks with Robert Galop and Kevin Nethercott, Co-Founders of Creo Solutions, about how service providers can turn years of “dark” conversation data into immediate, recurring revenue. Creo Solutions, founded two and a half years ago, focuses on helping carriers, CSPs and MSPs 2x–3x their revenue by layering AI-driven services on top of the UCaaS, CCaaS and CPaaS platforms they already sell. Their flagship offering, Pulse Conversation Intelligence, combines vCon-based conversation capture with AI analytics to unlock business value from every call. Galop explains that most organizations are still effectively “flying blind” with their customer conversations. Contact centers typically QA only about 2% of calls, leaving 98% unreviewed and unanalyzed. With Pulse, service providers can give their customers full visibility into compliance issues, churn signals, missed opportunities and coaching moments across all calls. As Galop puts it, “Within the first week, we're usually finding immediate ROI — a compliance risk, a security problem or a saveable customer that would have slipped away.” Nethercott emphasizes that the magic is in leveraging what service providers already have: their network, their platforms and their customer base. Using vCon as the standardized container, Pulse ingests existing call recordings and CDRs via API, processes them with Creo's AI stack, and returns focused insights, alerts, summaries and dashboards. There's no heavy integration project for the provider — “We can go to contract today, get integrated tomorrow, and by day three they can have it running in a customer,” notes Nethercott. Everything is delivered white-label, so the service provider owns the customer relationship and the new AI-powered revenue. For end customers, the platform is designed to reduce noise, not create more of it. Instead of a “data dump,” managers get the exceptions and patterns that matter: which agents handle certain call types best, which phrases correlate with successful sales, what recurring complaints are driving churn, and where frontline staff need coaching. Different roles see different slices of value: marketing can mine real customer language and enthusiasm, sales can see what actually moves deals forward, operations can spot systemic issues, and executives finally get a single source of truth about what customers are really saying. Creo sees strong early traction in healthcare, insurance, legal and home services—sectors where people spend their entire day on the phone but leadership can't possibly listen to every call. By turning every conversation into structured, searchable, AI-analyzed data, Pulse Conversation Intelligence gives service providers a high-impact, easy-to-launch AI story for 2026: a new, sticky revenue stream built entirely on top of services they're already delivering. Learn more about Creo Solutions and Pulse Conversation Intelligence at https://www.creosolutions.tech/ and intelligence.cloud.

Banking on Fraudology is presented by Sardine.ai.In this episode of Banking on Fraudology, Hailey Windham sits down with Ravi Loganathan, Co-founder and President of Sonar AI and Head of Banking and Policy at Sardine. Ravi, who has over 20 years in banking and consortium work with institutions like Early Warning Services, Zelle, and Bank of America, has been leading the charge at Sardine to make intelligent sharing accessible and actionable for all institutions.The conversation dives deep into the concept of collective intelligence, which Ravi describes as a "must-have" in the age of accelerating AI-driven scams. Fraudsters exploit information sharing gaps by jumping from one institution (like a fintech) to another (like a large regulated bank), making an ecosystem-wide defense essential.Key Takeaways: Unlocking Collective Intelligence with Sonar AIThe Sonar AI Origin Story: Sonar AI was kickstarted three years ago by a group of banks and fintechs to fill a critical gap: the lack of infrastructure for real-time risk information sharing when funds movement or instant settlement is authorized. This was driven by the need to combat authorized push payment (APP) fraud, particularly concerning the lack of insights on the recipient.How Sonar AI Works: Sonar AI is an industry utility. Before an institution authorizes a fund movement or account opening, they can inquire into Sonar on the entity conducting the transaction. Sonar returns curated signals (often simplified to "high, medium, low" risk, block list status, etc.) for the institution to augment their existing risk decisioning process. In return, the institution provides feedback, benefiting the next inquiring member.Regulatory Foundation: Sonar AI is built on a strong regulatory framework, having worked with FinCEN to receive 314(b) designation to form an association of financial institutions. It also facilitates broader fraud signal sharing under the Gramm-Leach-Bliley Act (GLBA).Empowering Smaller FIs: Sonar AI offers features specifically for smaller community banks and credit unions, including batch contribution and batch inquiry to eliminate the need for immediate API tech builds. Ravi details their collaboration with the Independent Community Bankers of America (ICBA) accelerator program to embed Sardine's solutions into core providers and invite FIs to join Sonar as members.Future Innovations: Ravi reveals Sonar AI's newest services, including Footprint, which provides a broader view of a consumer's financial standing by tracking their transactions across crypto exchanges, marketplaces, and fintechs , and the expansion of the Red Flag service for monitoring credentials leaked on the dark web.This is a must-listen for investigators, executives, and anyone working in the financial crimes space who is serious about strengthening prevention efforts and is ready to embrace the future of shared, collective defense.About Hailey Windham:As a 2023 CU Rockstar Recipient, Hailey Windham, CFCS (Certified Financial Crimes Specialist) demonstrated unbounding passion for educating her community, organization and credit union membership on scams in the market and best practices to avoid them. She has implemented several programs within her previous organizations that aim at holistically learning about how to prevent and detect fraud targeted at membership and employees. Windham's initiatives to build strong relationships and partnerships throughout the credit union community and industry experts have led to countless success stories. Her applied knowledge of payments system programs combined with her experience in fraud...

Az elmúlt hónapokban egymásra licitáló, szenzációs jóslatokkal foglalkozunk: egyes vélemények szerint ha leválunk az orosz energiahordozókról, a rezsi kétszeresére, háromszorosára, sőt négyszeresére ugrik. Sokáig mindez csak légvárnak tűnt – nem láttuk, milyen számításokból nőnek ekkorára ezek a számok. Most azonban a Portfolio kezébe került egy modell, amely papíron valóban igazolja az árrobbanást. Csakhogy amikor szétszedjük a gépházat, leegyszerűsítések és feltételezések sora bukkan elő. Mit jelent ez a számláinkra nézve, és hol csúszik el a matek? Erről kérdezzük Kabát Krisztiánt, a Portfolio energetikai elemzőjét. A folytatásban a vállalati API-okat nézzük meg közelebbről. Ezek leegyszerűsítve egy olyan “kapuk”, amin keresztül a cég saját rendszerei közvetlenül tudnak a bankkal “beszélgetni”, így gyorsabb és kevesebb manuális munka lesz a pénzügyekben. De hogy működik mindez a gyakorlatban, és miért éri meg egy banknak egy ilyen fejlesztés? A Checklist vendége Kuhárszki András, az OTP Bank digitális banki területek ügyvezető igazgatója volt. Főbb részek: Intro − (00:00) Mennyivel nőhet valójában a gáz-és áramár? − (02:08) Hogy működnek az API-ok? − (19:38) Kép forrása: Getty ImagesSee omnystudio.com/listener for privacy information.

Thomaz Teixeira, CEO of BRL1, and Ben Reid, Head of Stablecoins at Bitso, join host Aaron Stanley to discuss the BRL1 stablecoin project.BRL1 is a one-to-one Brazilian real-pegged token developed by a unique consortium of major crypto exchanges including Mercado Bitcoin, Bitso, Foxbit, and Cainvest. We explore how competitors joined forces to build shared infrastructure that reduces friction for market makers and liquidity providers moving value across global exchanges. Teixeira and Reid highlight BRL1's impressive early traction, with the token already ranking as the sixth or seventh highest-volume asset on Brazilian exchanges despite launching just months ago. We examine how the consortium model creates network effects that drive adoption, the growing interest from institutional market makers positioning for local currency stablecoins, and how BRL1 addresses interoperability challenges similar to those the now-shuttered Drex project aimed to solve.You can connect with Thomaz and Ben on Linkedin------------------------------------------------------------------Brazil Crypto Report is presented by AveniaIf you're building a wallet, a crypto consumer app, or a global payment platform, Avenia is your bridge to Latin America. Instantly connect to PIX, SPEI, and CBU using stablecoins — with one API. No banks. No FX desks. No SWIFT. Move money globally, with full compliance and real-time settlement. Learn more at ⁠⁠⁠⁠avenia.io⁠⁠⁠⁠.------------------------------------------------------------------Figment is the leading independent provider of staking infrastructure with $18B assets under stake and provides the complete solution for over 1000 institutional clients in Latin America and globally. Through its enterprise-grade infrastructure, Figment enables clients such as banks and exchanges, to earn rewards on Proof-of-Stake assets such as Ethereum and Solana, while maintaining the highest standards of security, compliance, and performance.Learn more at ⁠⁠figment.io⁠⁠-------------------------------------------------------------------

Get a private, on-screen walkthrough of Google's new Gemini 3.0 with Logan Kilpatrick. We vibe-code full apps, games, and product UIs in real time. You'll see how to go from raw idea to working product in a single prompt, then iterate visually with design, features, and AI workflows. They turn an IdeaBrowser concept into a live talent-matching platform, screenshot-clone the IdeaBrowser UI, wire up a “generate tomorrow's idea” feature grounded in Google Search, and even add co-founder matching on top. If you're building with AI or still on the fence, this episode shows what's now possible with Gemini 3.0 Pro in AI Studio. Timestamps 00:00 – Intro 01:00 – What Gemini 3 is and where it lives (Gemini app, AI Studio, API) 03:03 – Vibe Coding 3D games 09:27 – Vibe Coding an idea from IdeaBrowser 25:02 – Screenshot-cloning the IdeaBrowser UI and regenerating it in Gemini Key Points Gemini 3.0 Pro in AI Studio lets you “vibe code” full apps—UI, logic, and AI features—from natural-language prompts, then iteratively refine them. Games and complex simulations are a stress-test and showcase for the model's capabilities, not just toys. You can paste an entire business idea (like IdeaBrowser's generational talent-matching concept) into AI Studio and get a working, multi-screen product with AI-powered workflows. Gemini 3.0 Pro is free to use inside AI Studio up to generous limits, and the API is priced at $2 per million input tokens and $12 per million output tokens under 200K input tokens. Screenshot-driven UI cloning plus “add five more features” prompts are powerful loops for product and UX ideation. You can layer social features like co-founder matching directly on top of idea-discovery products with only a few additional prompts. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND LOGAN ON SOCIAL X/Twitter: https://x.com/OfficialLoganK  Youtube: https://www.youtube.com/@LoganKilpatrickYT  LinkedIn: https://www.linkedin.com/in/logankilpatrick/

There was a day not long ago where a Google Chrome browser update left any page with a CodePen Embed on it throwing a whole big pile of red JavaScript errors in the console. Not ideal, obviously. The change was related to how the browser handles allow attributes on iframes (i.e. ). CodePen was calculating the appropriate values inside an iframe for a nested iframe. That must have been a security issue of sorts, as now those values need to be present on the outside iframe as well. We documented all this in a blog post so hopefully we could get some attention from Chrome on this, and for other browser makers as well since it affects all of us. And I posted it on the ol' social media: Huge thanks to Bramus Van Damme who saw this, triaged it at Chrome, and had a resolution within a day: I think the patch is a great change so hats off to everyone involved for getting it done so quickly. It's already in Canary and don't really know when it'll get the stable but that sure will be good. It follows how Safari is doing things where values that aren't understood are just ignored (which we think is fine and inline with how HTML normally works). Fortunately we were able to mitigate the problem a little until then. For most Embedded Pens, a is loaded on the page embedding it, and we dynamically create the for you. This is just nice as it makes making an accessible fallback easier and gives you access to API-ish features for the embeds. We were able to augment that script to do a little browser user-agent sniffing and apply the correct set of allow attributes on the iframe, as to avoid those JavaScript errors we were seeing. But there's the rub: we'd rather not do any user-agent sniffing at all. If we could just put all the possible allow attributes we want on there, and not be terribly concerned if any particular browser didn't support any particular value, that would be ideal. We just can't have the scary console errors, out of concern for our users who may not understand them. Where we're at in the saga now is that: We're waiting for the change to Chrome to get to stable. We're hoping Safari stays the way it is. OH HI FIREFOX. On that last point, if we put all the allow attributes we would want to on an in Firefox, we also get console-bombed. This time not with red-errors but with yellow-warnings. So yes, hi Firefox, if you could also not display these warnings (unless a reporting URL is set up) that would be great. We'd be one less website out there relying on user-agent sniffing.

In "Orchestrating Chaos: Lully's Take on the Top Warehousing Challenges", Joe Lynch and Mike Myers, the Founder and CEO of Lully.ai discuss how to supercharge existing Warehouse Management Systems with bolt-on algorithms for labor and cost savings. About Mike Myers Mike Myers is the Founder and CEO of Lully.ai, a bolt on technology that allows warehouses to ship more orders on time, with fewer resources, using the equipment, capabilities, and systems you already have. Mike's career has included roles at a large apparel brand, multiple national 3PL leaders, and finally a automation firm focused on autonomous vehicles. Mike describes himself as "obsessed with warehouses," and it shows! About Lully.ai Lully.ai helps customers drive both cost and labor savings, by leveraging a combination of simple operating rules and world-class algorithms, all available via API. Their approach enables you to supercharge your WMS without the typical pains of technology integration. Lully's focus is on making the work easier for the team on the floor; less travel, fewer location visits, better utilized equipment. The end result is happier employees and bolstered bottom lines. Key Takeaways: Orchestrating Chaos: Lully's Take on the Top Warehousing Challenges The "Orchestrating Chaos" Philosophy: Warehousing challenges are framed not as insurmountable problems, but as "chaos" that can be "orchestrated" using smart, targeted technology. The core message is that efficiency is found in harmonizing existing equipment and processes, rather than in complete overhauls. Supercharge, Don't Replace (The "Bolt-On" Approach): Lully.ai's solution is a "bolt on technology... available via API." This takeaway emphasizes that warehouses can achieve massive optimization by supercharging their existing WMS without the typical high-cost and painful technology integration, making advanced algorithms accessible and fast to deploy. The Dual Bottom Line Focus: The solution directly addresses the two critical pressures in logistics: driving both cost and labor savings. The algorithms are designed to improve the financial bottom line while simultaneously tackling the labor crisis by making floor work more efficient. Human-Centric Optimization: Lully.ai translates optimization directly into benefits for the floor team, leading to happier employees. Key improvements include significantly less travel, fewer location visits, and better utilized equipment, which reduces fatigue, increases accuracy, and improves retention. Experience-Driven Solution: Mike Myers' diverse background—which spans a large apparel brand, 3PL leaders, and autonomous vehicle automation—provides a unique, holistic, and deeply practical understanding of warehouse operations. This real-world expertise informs a solution that is grounded in operational necessity. The Algorithm/Rules Combination: The technology's effectiveness stems from blending "simple operating rules and world-class algorithms." This suggests that complex optimization is delivered via practical, easily adoptable rules, ensuring the technology is not only intelligent but also simple for floor managers and workers to implement. Maximizing Existing Assets (Capital-Light Efficiency): A major takeaway for warehouse leaders is that the solution helps ship more orders on time, with fewer resources, using the equipment, capabilities, and systems you already have. This focus on maximizing current assets offers a capital-light path to high-performance warehousing. Learn More About Orchestrating Chaos: Lully's Take on the Top Warehousing Challenges Mike Myers | Linkedin Lully.ai | Linkedin Lully.ai Lully.ai | YouTube Logistics of Logistics Listeners special offer The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

In "This Week in WordPress #355," Nathan Wrigley, Michelle Frechette, and Rhys Wynne discuss the Kagi search engine, Michelle's job search, and WordPress updates including 6.9's new features like collaborative editing and abilities API. The episode covers the challenges faced by open source projects like FFmpeg, security concerns with AI-powered tools such as Telex, the Global Partner Program for WordPress event sponsorships, and developments in full site editing, highlighting the Ollie theme. Listener comments add depth to discussions about the future and risks of WordPress plugin and block creation through AI.

Youth banking is transforming how credit unions engage families and prepare the next generation for financial success. In this episode of Credit Union Conversations, host Mark Ritter sits down with Alexey Krasnoriadtsev, CEO and co-founder of boucoup, to explore innovative family banking solutions that are changing the game for credit unions. Alexey shares his remarkable journey from Soviet-era Belarus to becoming a fintech entrepreneur in Austin, Texas, and explains why digital banking tools for kids and teens are no longer optional—they're essential. The conversation reveals how to teach kids about money using banking apps through practical features like parental oversight, chores and allowance tracking, and even simulated loans that build real-world financial literacy.What You Will Learn in This Episode: ✅ How youth banking programs have evolved from money-losing initiatives to profitable opportunities for credit unions, with kids now holding $800-$1,500 in deposits and generating full asset yields on no-cost accounts.✅ Why family banking tools with parental controls, money management features, and digital chores and allowance systems are essential for teaching financial literacy in a cashless society, where kids need cards earlier than ever before.✅ The critical mistakes credit unions make during digital banking implementation, including inadequate testing of edge-case scenarios and a lack of proper project planning that leads to production problems.✅ How innovative banking education features like parent-supervised loans with interest and late fees help teens experience real-world financial concepts like amortization before entering adulthood.Subscribe to Credit Union Conversations for the latest credit union trends and insights on loan volume and business lending! Connect with MBFS to boost your credit union's growth today.TIMESTAMPS: 00:00 Intro: The 25-year challenge credit unions face in attracting young people, and a conversation about youth banking solutions03:17 Alexey Krasnoriadtsev shares his origin story, from Soviet-era Belarus to America, working as a dishwasher and theme park cleaner before founding his mobile banking app company10:30 Banking On solves a California credit union's digital banking crisis, transforming thousands of one-star reviews into five-star ratings through API-connected mobile banking apps13:32 Boucoup, the family banking concept, explains how financial literacy tools help parents supervise kids' spending through chores and allowance, loans, and kid debit cards26:22 Critical advice on credit union innovation implementation, emphasizing the importance of comprehensive testing, project planning, and quality assurance KEY TAKEAWAYS: ✅ Youth banking is now a profitable strategy—today's cashless society means kids need cards early, resulting in average deposits of $800 for 13-year-olds and $1,500 for 17-year-olds, generating full 4% asset yields on no-cost accounts.✅ Family banking tools create emotional bonds and practical financial literacy through features like peer-to-peer transfers with photos, digital chores and allowance tracking, and parent-supervised loans with interest rates and late fees that teach real-world financial concepts.✅ Successful digital banking implementation requires comprehensive testing. Credit unions must demand detailed project plans, test 60+ edge-case scenarios with multiple accounts, and invest in quality assurance before production launch.✅ Member engagement with the next generation starts with solving parent pain points—giving kids supervised debit cards instead of credit cards creates sticky family banking relationships where entire households bank together at one...

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Andrew Pignanelli (https://x.com/@ndrewpignanelli). I sat down with Andrew, founder of The General Intelligence Company of New York, to dive into his incredible product, CoFounder. The core idea behind CoFounder is facilitating one person billion dollar companies. As entrepreneurs, we constantly struggle with the million paper cuts problem, all those tiny daily tasks that take up huge chunks of our time and brain capacity. Andrew explains how CoFounder acts as a chief of staff or self completing to-do list, extending your capacity without needing to hire a huge team.We discuss how these AI agents use a persistent memory system and deep API integrations to understand you and automate crucial tasks like scheduling and managing emails. You won't believe how easy Andrew has made building complex automations using simple natural language, you can skip the need for complicated tools like Zapier altogether! We also explore powerful use cases like automated competitor monitoring, how CoFounder uses guardrails to manage tasks like sending calendar invites, and even integrating with tools like Limitless. If you want to see the future of autonomous companies and learn how to scale your business without scaling people, you need to hear this.Questions This Episode Answers:1. How can I grow my business without having to scale the people side of things?2. What is the million paper cuts problem and how can AI agents fix it?3. How can I build complex automations using just natural language?4. What is the difference between an API and the Model Context Protocol (MCP)?5. What specific tasks like scheduling, email, and competitor monitoring are CoFounder users automating the most?__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 – Intro: One-person billion-dollar companies00:40 – What CoFounder is and why it's exploding03:05 – How AI connects all your tools (email, Slack, CRM)05:28 – The “million paper cuts” problem CoFounder solves07:44 – Top use cases: scheduling, email, research, monitoring10:07 – Treating AI like a human assistant12:33 – Live demo: reading calendar, creating tasks, using tools15:00 – The easiest automation builder (natural language flows)22:04 – Onboarding: how CoFounder learns your style and workflow29:12 – Competition, vision, and the future of autonomous companies

Thomas Monz, CEO of AQT (Alpine Quantum Technologies), joins Sebastian Hassinger on The New Quantum Era to chart the evolution of ion-trap quantum computing — from the earliest breakthroughs in Innsbruck to the latest roll-outs in supercomputing centers and on the cloud. Drawing on a career that spans pioneering research and entrepreneurial grit, Thomas details how AQT is bridging the gap between academic innovation and practical, scalable systems for real-world users. The conversation traverses AQT's trajectory from component supplier to systems integrator, how standard 19-inch racks and open APIs are making quantum computing accessible in Europe's top HPC centers, what Thomas anticipates from AQT launching on Amazon Braket, a quantum computing service from AWS, and what it will take for quantum to deliver genuine economic value.Guest Bio  Thomas Monz is the CEO and co-founder of AQT. A physicist by training, his work has helped transform trapped-ion quantum computing from a fundamental research topic into a commercially viable technology. After formative stints in quantum networks, high-precision measurement, and hands-on engineering, Thomas launched AQT alongside Peter Zoller and Rainer Blatt to make robust, scalable quantum computers available far beyond the university lab. He continues to be deeply engaged in both hardware development and quantum error correction research, with AQT now deploying systems at EuroHPC centers and bringing devices to Amazon Braket.Key Topics  From research prototype to rack-ready: How the pain points converting lab experiments into user-friendly hardware led AQT to build its quantum computers in the same form factors and standards as classical infrastructure, making plug-and-play integration with the supercomputing world possible.  Hybrid quantum–HPC deployments: Why systems-level thinking and classic IT lessons (such as respecting 19-inch rack and power standards) have enabled AQT to place ion-trap quantum computers in Germany and Poland as part of the EuroHPC initiative — and why abstraction at the API level is essential for developer adoption.  Error correction and code flexibility: How the physical properties of trapped ions let AQT remain agnostic to changing error-correcting codes (from repetition and surface codes to LDPC), enabling swift adaptation to new breakthroughs via software rather than expensive new hardware — and why end-users should never have to think about error correction themselves.  Scaling and networking: The challenges moving from one-dimensional to two-dimensional traps, the emerging role of integrated photonics, and AQT's vision for interconnecting quantum computers within and across HPC sites using telecom-wavelength photons.  From local to cloud: What AQT's move to Amazon Braket means for the range and sophistication of end-user applications, and how broad commercial access is shifting priorities from scientific exploration to real-world performance and customer-driven features.  Collaboration as leverage: How AQT's open approach to integration—letting partners handle job scheduling, APIs, and orchestration—positions it as a technology supplier while benefiting from advances across Europe's quantum ecosystem.Why It Matters  AQT's journey illustrates how “physics-first” quantum innovation is finally crossing into scalable, reliable real-world systems. By prioritizing integration, user experience, and abstraction, AQT is closing the gap between experimental platforms and actionable quantum advantage. From better error rates and hybrid deployments to global cloud infrastructure, the work Thomas describes signals a maturing industry rapidly moving toward both commercial impact and new scientific discoveries.Episode Highlights  How Thomas's PhD work helped implement the first three-qubit ion-trap gates and formed the foundation for AQT's technical strategy.  The pivotal insight: moving from bespoke lab systems to standardized products allowed quantum hardware to be deployed at scale.  The surprisingly smooth physical deployment of AQT machines across Europe, thanks to a “box-on-a-truck” design.  Real talk on error correction, the importance of LDPC codes, and the flexibility built into trapped-ion architectures.  The future of quantum networking: sending entangled photons between HPC facilities, and the promise of scalable cluster architectures.  What cloud access brings to the roadmap, including new end-user requirements and opportunities for innovation in error correction as a service.---- This episode offers an insider's perspective on the tight coupling of science and engineering required to bring quantum computing out of the lab and into industry. Thomas's journey is a case study in building both technology and market readiness — critical listening for anyone tracking the real-world ascent of quantum computers. In the spirit of full disclosure, Sebastian is an employee of AWS, working on quantum computing for the company, though he is not a member of the Braket service team. 

-If you're experiencing internet issues this morning, you're far from alone. Infrastructure company Cloudflare has been hit with what it calls "widespread 500 errors, with Dashboard and API also failing." The company said that services are starting to recover, but customers may continue to see "higher-than-normal errors rates" as it continues to work on the problem. As of 8:13 am, the company said that "the issue has been identified and a fix is being implemented." The company added that "we have made changes that have allowed Cloudflare Access and WARP to recover. Error levels for Access and WARP users have returned to pre-incident rates." -Tesla has secured a ruling to strip a 2017 lawsuit claiming a racist work environment of its class-action status, as reported by Reuters. The lawsuit could not proceed with class-action status because the plaintiffs' attorneys had failed to find 200 class members willing to testify. -Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global weather predictions." Learn more about your ad choices. Visit podcastchoices.com/adchoices

Major banks once built their own Linux kernels because no distributions existed, but today commercial distros — and Kubernetes — are universal. At KubeCon + CloudNativeCon North America, AWS's Jesse Butler noted that Kubernetes has reached the same maturity Linux once did: organizations no longer build bespoke control planes but rely on shared standards. That shift influences how AWS contributes to open source, emphasizing community-wide solutions rather than AWS-specific products.Butler highlighted two AWS EKS projects donated to Kubernetes SIGs: KRO and Karpenter. KRO addresses the proliferation of custom controllers that emerged once CRDs made everything representable as Kubernetes resources. By generating CRDs and microcontrollers from simple YAML schemas, KRO transforms “glue code” into an automated service within Kubernetes itself. Karpenter tackles the limits of traditional autoscaling by delivering just-in-time, cost-optimized node provisioning with a flexible, intuitive API. Both projects embody AWS's evolving philosophy: building features that serve the entire Kubernetes ecosystem as it matures into a true enterprise standard.Learn more from The New Stack about the latest in Kube Resource Orchestrator and Karpenter:  Migrating From Cluster Autoscaler to Karpenter v0.32How Amazon EKS Auto Mode Simplifies Kubernetes Cluster Management (Part 1) Kubernetes Gets a New Resource Orchestrator in the Form of KroJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jamie and Jaeden explore Wikipedia's decision to launch a paid API as a new revenue model in the AI age. They discuss the platform's fading relevance, community tensions, and what AI-generated content means for the future of global information. Our Skool Community: https://www.skool.com/aihustle Get the top 40+ AI Models for $20 at AI Box: https://aibox.aiSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week, Lois Houston and Nikita Abraham are joined by Principal OCI Instructor Orlando Gentil to explore what truly keeps data safe, and what puts it at risk.   They discuss the CIA triad, dive into hashing and encryption, and shed light on how cyber threats like malware, phishing, and ransomware try to sneak past defenses.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------ Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hey everyone! Last week, we discussed how you can keep your data safe with authentication and authorization. Today, we'll talk about various security risks that could threaten your systems. 00:48 Lois: And to help us understand this better, we have Orlando Gentil, Principal OCI Instructor, back with us. Orlando, welcome back! Let's start with the big picture—why is security such a crucial part of our digital world today? Orlando: Whether you are dealing with files stored on a server or data flying across the internet, one thing is always true—security matters. In today's digital world, it's critical to ensure that data stays private, accurate, and accessible only to the right people.  01:20 Nikita: And how do we keep data private, secure, and unaltered? Is there a security framework that we can use to make sense of different security practices? Orlando: The CIA triad defines three core goals of information security.  CIA stands for confidentiality. It's about keeping data private. Only authorized users should be able to access sensitive information. This is where encryption plays a huge role. Integrity means ensuring that the data hasn't been altered, whether accidentally or maliciously. That's where hashing helps. You can compare a stored hash of data to a new hash to make sure nothing's changed. Availability ensures that data is accessible when it's needed. This includes protections like system redundancy, backups, and anti-DDoS mechanisms. Encryption and hashing directly support confidentiality and integrity. And they indirectly support availability by helping keep systems secure and resilient. 02:31 Lois: Let's rewind a bit. You spoke about something called hashing. What does that mean? Orlando: Hashing is a one-way transformation. You feed in data and it produces a unique fixed length string called a hash. The important part is the same input always gives the same output, but you cannot go backward and recover the original data from the hash. It's commonly used for verifying integrity. For example, to check if a file has changed or a message was altered in transit. Hashing is also used in password storage. Systems don't store actual passwords, just their hashes. When you log in, the system hashes what you type it and compare the stored hash. If they match, you're in. But your actual password was never stored or revealed. So hashing isn't about hiding data, it's about providing it hasn't changed. So, while hashing is all about protecting integrity, encryption is the tool we use to ensure confidentiality. 03:42 Nikita: Right, the C in CIA. And how does it do that? Orlando: Encryption takes readable data, also known as plaintext, and turns it into something unreadable called ciphertext using a key. To get the original data back, you need to decrypt it using the right key. This is especially useful when you are storing sensitive files or sending data across networks. If someone intercepts the data, all they will see is gibberish, unless they have the correct key to decrypt it. Unlike hashing, encryption is reversible as long as you have the right key. 04:23 Lois: And are there different types of encryption that serve different purposes? Orlando: Symmetric and asymmetric encryption. With symmetric encryption, the same key is used to both encrypt and decrypt the data. It's fast and great for securing large volumes of data, but the challenge lies in safely sharing the key. Asymmetric encryption solves that problem. It uses a pair of keys: public key that anyone can use to encrypt data, and a private key that only the recipient holds to decrypt it. This method is more secure for communications, but also slower and more resource-intensive. In practice, systems often use both asymmetric encryption to exchange a secure symmetric key and then symmetric encryption for the actual data transfer. 05:21 Nikita: Orlando, where is encryption typically used in day-to-day activities? Orlando: Data can exist in two primary states: at rest and in transit. Data at rest refers to data stored on disk, in databases, backups, or object storage. It needs protection from unauthorized access, especially if a device is stolen or compromised. This is where things like full disk encryption or encrypted storage volumes come in. Data in transit is data being sent from one place to another, like a user logging into a website or an API sending information between services. To protect it from interception, we use protocols like TLS, SSL, VPNs, and encrypted communication channels. Both forms data need encryption, but the strategies and threats can differ. 06:19 Lois: Can you do a quick comparison between hashing and encryption? Orlando: Hashing is one way. It's used to confirm that data hasn't changed. Once data is hashed, it cannot be reversed. It's perfect for use cases like password storage or checking the integrity of files. Encryption, on the other hand, it's two-way. It's designed to protect data from unauthorized access. You encrypt the data so only someone with the right key can decrypt and read it. That's what makes it ideal for keeping files, messages, or network traffic confidential. Both are essential for different reasons. Hashing for trust and encryption for privacy. 07:11 Adopting a multicloud strategy is a big step towards future-proofing your business and we're here to help you navigate this complex landscape. With our suite of courses, you'll gain insights into network connectivity, security protocols, and the considerations of working across different cloud platforms. Start your journey to multicloud today by visiting mylearn.oracle.com.  07:39 Nikita: Welcome back! When we talk about cybersecurity, we hear a lot about threats and vulnerabilities. But what do those terms really mean? Orlando: In cybersecurity, a threat is a potential danger and a vulnerability is a weakness an asset possess that a threat can exploit. When a threat and a vulnerability align, it creates a risk of harm. A threat actor then performs an exploit to leverage that vulnerability, leading to undesirable impact, such as data loss or downtime. After an impact, the focus shifts to response and recovery to mitigate damage and restore operations.  08:23 Lois: Ok, let's zero in on vulnerabilities. What counts as a vulnerability, and what categories do attackers usually target first?  Orlando: Software and hardware bugs are simply unintended flaws in a system's core programming or design. Misconfigurations arise when systems aren't set up securely, leaving gaps. Weak passwords and authentication provide easy entry points for attackers. A lack of encryption means sensitive data is openly exposed. Human error involves mistakes made by people that unintentionally create security risks. Understanding these common vulnerability types is the first step in building more resilient and secure systems as they represent the critical entry points attackers leverage to compromise systems and data. By addressing these, we can significantly reduce our attack surface and enhance overall security.  09:28 Nikita: Can we get more specific here? What are the most common cybersecurity threats that go after vulnerabilities in our systems and data? Orlando: Malware is a broad category, including viruses, worms, Trojans, and spyware. Its goal is to disrupt or damage systems. Ransomware has been on the rise, targeting everything from hospitals to government agencies. It lock your files and demands a ransom, usually in cryptocurrency. Phishing relies on deception. Attackers impersonate legitimate contacts to trick users into clicking malicious links or giving up credentials. Insider threats are particularly dangerous because they come within employees, contractors, or even former staff with lingering access. Lastly, DDoS attacks aim to make online services unavailable by overwhelming them with traffic, often using a botnet—a network of compromised devices. 10:34 Lois: Orlando, can you walk us through how each of these common cybersecurity threats work? Orlando: Malware, short for malicious software, is one of the oldest and most pervasive types of threats. It comes in many forms, each with unique methods and objectives. A virus typically attaches itself to executable files and documents and spreads when those are shared or opened. Worms are even more dangerous in networked environments as they self-replicate and spread without any user action. Trojans deceive users by posing as harmless or helpful applications. Once inside, they can steal data or open backdoors for remote access. Spyware runs silently in the background, collecting sensitive information like keystrokes or login credentials. Adware might seem like just an annoyance, but it can also track your activity and compromise privacy. Finally, rootkits are among the most dangerous because they operate at a low system level, often evading detection tools and allowing attackers long-term access. In practice, malware can be a combination of these types. Attackers often bundle different techniques to maximize damage.  12:03 Nikita: And what about ransomware? Why it is such a serious threat? Orlando: Ransomware has become one of the most disruptive and costly types of cyber attacks in recent years. Its goal is simple but devastating, to encrypt your data and demand payment in exchange for access. It usually enters through phishing emails, insecure remote desktop protocol ports or known vulnerabilities. Once inside, it often spreads laterally across the network before activating, ensuring maximum impact. There are two common main forms. Crypto ransomware encrypts user files, making them inaccessible. Locker ransomware goes a step further, locking the entire system interface, preventing any use at all. Victims are then presented with a ransom note, typically requesting cryptocurrency payments in exchange for the decryption key. What makes ransomware so dangerous is not just the encryption itself, but the pressure it creates. Healthcare institutions, for instance, can't afford the downtime, making them prime targets.  13:18 Lois: Wow. Thanks, Orlando, for joining us today.  Nikita: Yeah, thanks Orlando. We'll be back next week with more on how you use security models to tackle these threats head-on. And if you want to learn about the topics we covered today, go to mylearn.oracle.com and search for the Cloud Tech Jumpstart  course. Until next time, this is Nikita Abraham… Lois: And Lois Houston, signing off! 13:42 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

**GPT-5.1 just changed the AI game with 3 superpowers most people are completely missing.** In this complete guide, I break down exactly how to use Speed + Warmth, Adaptive Reasoning, and Instruction-Following Precision to 10x your productivity in sales, marketing, and strategy.**What You'll Learn:**✅ How to choose between GPT-5.1 Instant and Thinking modes for maximum ROI✅ The secret adaptive reasoning feature that makes GPT-5.1 85% more accurate✅ Why speed + warmth eliminates endless revision cycles (and saves hours weekly)✅ The 4-part prompt framework for repeatable, reliable AI workflows✅ Real-world applications across sales, marketing, GTM, and executive decisions✅ 5 workflows you can implement TODAY to delegate entire projects to AI**Quick Answer: What is GPT-5.1?**GPT-5.1 is OpenAI's November 2025 release featuring two modes: Instant (prioritizes speed + warmth with adaptive reasoning) and Thinking (deep analysis for complex tasks). It scored 85% on AIME 2025 benchmarks and introduces 8 personality presets for tone control.**Quick Answer: What are GPT-5.1's 3 Superpowers?**1. Speed + Warmth - 2x faster on simple tasks with conversational, human-like tone2. Adaptive Reasoning - Automatically decides when to think deeper (85% AIME score)3. Instruction-Following Precision - Follows specifications exactly, enabling repeatable systems**Quick Answer: Should I use GPT-5.1 Instant or Thinking mode?**Use Instant for 80% of daily tasks (emails, content drafts, quick research). Instant now has adaptive reasoning that automatically engages deeper thinking when needed. Use Thinking mode only for complex strategic decisions, multi-step analysis, or long-context workflows requiring 196K token limit.**Q: What is GPT-5.1?**A: GPT-5.1 is OpenAI's November 2025 AI model release featuring adaptive reasoning, speed optimization, and improved instruction-following. It comes in two modes: Instant (default, fast, with adaptive reasoning) and Thinking (deep analysis for complex tasks).**Q: What are the 3 superpowers of GPT-5.1?**A: 1) Speed + Warmth - 2x faster responses with natural, conversational tone, 2) Adaptive Reasoning - automatically decides when to think deeper (85% AIME benchmark), 3) Instruction-Following Precision - executes exact specifications for repeatable workflows.**Q: Should I use GPT-5.1 Instant or Thinking?**A: Use Instant for 80% of tasks (emails, content, quick analysis). Instant has adaptive reasoning built-in. Use Thinking only for complex strategic decisions, multi-step reasoning, or tasks requiring the 196K token context window.**Q: How much does GPT-5.1 cost?**A: GPT-5.1 is available to ChatGPT Plus ($20/month), Pro ($200/month), Team, and Enterprise users. Free tier access rolled out after paid users. API pricing varies by mode (Instant vs Thinking).**Q: Is GPT-5.1 better than GPT-5?**A: Yes. GPT-5.1 scored 85% on AIME 2025 (vs GPT-5's 75%), responds 2x faster on simple tasks, follows instructions more precisely, and includes adaptive reasoning which GPT-5 lacked. Users describe it as "what GPT-5 should have been."----------------Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies → https://www.aiforrevenue.com/superhumanrevenue-newsletterRyan Staley - https://ryanstaley.io/podcast/LinkedIn - https://www.linkedin.com/in/ryan-staley/Explore the latest advancements in **artificial intelligence** with GPT-5! This video explores how to leverage **chatgpt** and other **ai tools** to create powerful **ai productivity tools**. Discover the potential of **generative ai** and create your own **ai teammate** with the newest **gpt5** features.

SummaryIn this episode of the Fuel Podcast, Grace Gill sits down with Amit Hasak, CEO of Transship Corp, to dive into the challenges and innovations reshaping the logistics and supply chain industry. As a seasoned supply chain logistics professional, Amit recounts his two-decade journey running a cold storage warehouse in Chicago. His deep involvement with exporters of perishable goods gave him firsthand insight into the chaos and inefficiency plaguing traditional shipping. After fielding endless complaints from clients about the unpredictable and costly shipping process, Amit saw the need for change, prompting the birth of Transship in 2020.Transship's mission is simple: empower shippers. By leveraging API connectivity, AI, and robust data analytics, Transship streamlines bookings, provides competitive rates, and delivers real-time shipment visibility down to temperature and tampering alerts, something the industry desperately lacks. But as Amit emphasizes, technology alone isn't enough; the human element in customer service remains crucial.The conversation also touches on the entrepreneurial realities of bootstrapping a startup. Amit candidly shares the stresses, risks, and ultimate rewards of maintaining control of his company, offering practical advice for founders navigating similar paths. Listeners get a glimpse of why he is excited about Bentonville, Arkansas, and how participation in the Fuel Accelerator is fueling Transship's global growth. The episode is a testament to resilience, innovation, and the ongoing importance of human connection in a tech-forward world!Show Notes(00:00) Introduction(05:30) Shipment Tracking Beyond Devices(08:41) Bootstrapping: Vision, Struggles, and Rewards(11:27) Transship's Global Expansion(14:12) Freight Tech Solutions and SupportLinksGrace GillFuel AcceleratorAmit HasakTransship Corp

Viktor Gamov talks to Matthias J. Sax (Confluent) about his career in stream processing and, specifically, Kafka Streams. Matthias' first job: an electrician-in-training on BMW's assembly lines. His challenge: building Kafka Streams at Confluent with a focus on API design, backward compatibility, and a library-first approach that also fits microservices.SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo

In a surprise move, Snapchat open sources its cross-platform UI Valdi. Valdi lets devs write UI components in TypeScript then compiles them to native views on iOS, Android, and macOS, offers instant hot reload without recompiling, and integrates well into already existing native apps. GitHub Universe 2025 wrapped up just a few weeks ago, and it had a bunch of new AI agent updates to share. Think: a single source to manage agents across GitHub, Mobile, CLI, and VS Code, custom agents with tailored prompts and tools, new Copilot integrations and agentic code review, and Plan Mode. TanStack DB released v0.5 and Query-Driven Sync. With Query-Driven Sync, a component's query is the API call and DB handles the fetching, caching, and updating, and provides different sync modes for different use cases. Chapter Markers:0:47 - Snapchat open sources cross-platform tool Valdi7:08 - GitHub Universe updates15:45 - TanStack DB query-driven sync19:54 - GitHub eliminates toasts22:49 - Firefox has an updated mascot24:09 - Vibe coding named word of the year33:26 - What's making us happyNews:Paige - Snapchat open sources cross-platform UI ValdiJack - TanStack DB query-driven syncTJ - GitHub Universe recapLightning News:GitHub eliminates toasts from their designsFirefox has an updated mascotVibe coding named word of the yearWhat Makes Us Happy this Week:Paige - Holiday light displaysJack - Cursor ComposerTJ - Inflatable dragon yard decorationThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

In this video, I compare Dividend Stocks against a much lesser known, but often higher yielding passive income challenger, in Royalty Trusts. And stick around until the end, because I reveal Michael Burry's billion-dollar warning to the tech sector, then share some startling new job numbers, and wrap up with Warren Buffett's emotional goodbye letter he just posted. Join the world's largest free Dividend Discord ➜ https://discord.gg/kkSr5FY Join my channel membership as a GenEx Partner to access new perks: https://www.youtube.com/channel/UCuOS-UH_s4KGhArN6HdRB0Q/join Seeking Alpha Affiliate Referral Link ➜ https://link.seekingalpha.com/2352ZCK/4G6SHH/ Click my FAST Graphs Link (Use coupon code AFFILIATE25 to get 25% off your 1st payment) ➜ https://fastgraphs.com/?ref=GenExDividendInvestor Please use my Amazon Affiliates Link ➜ https://amzn.to/2YLxsiW Thanks! As an Amazon Associate I earn from qualifying purchases. Support me & get Patreon perks ➜ https://www.patreon.com/join/genexdividendinvestor Use my Financial Modeling Prep affiliate link for awesome stock API data (up to a 25% discount) ➡️ https://site.financialmodelingprep.com/pricing-plans?couponCode=genex25

After three years of waiting, Brazil's central bank has finally released comprehensive VASP regulations. In this episode, Carlos Eduardo Russo (Bluegreen) and Cesar Carvalho (Baptista Luz Advogados) join host Aaron Stanley to break down the regulatory framework that will reshape Brazil's digital asset industry. We discuss the phased authorization process, capital requirements ranging from R$11-37 million, how stablecoins are now integrated into Brazil's FX market, and whether these rules truly level the playing field between local and international exchanges. Both guests have been deeply involved with AB Token's government affairs work and provide insider perspectives on what comes next for the industry.You can connect with Carlos and Cesar on Linkedin------------------------------------------------------------------Brazil Crypto Report is presented by AveniaIf you're building a wallet, a crypto consumer app, or a global payment platform, Avenia is your bridge to Latin America. Instantly connect to PIX, SPEI, and CBU using stablecoins — with one API. No banks. No FX desks. No SWIFT. Move money globally, with full compliance and real-time settlement. Learn more at ⁠⁠⁠avenia.io⁠⁠⁠.------------------------------------------------------------------Figment is the leading independent provider of staking infrastructure with $18B assets under stake and provides the complete solution for over 1000 institutional clients in Latin America and globally. Through its enterprise-grade infrastructure, Figment enables clients such as banks and exchanges, to earn rewards on Proof-of-Stake assets such as Ethereum and Solana, while maintaining the highest standards of security, compliance, and performance.Learn more at ⁠figment.io⁠-------------------------------------------------------------------

This week we learned the Japanese investment firm Softbank sold all of its stake in the juggernaut chipmaker Nvidia. We'll get into why on today's “Marketplace Tech Bytes: Week in Review.” Plus, Apple is reportedly pushing back the release of its thinnest iPhone, the Air, and Wikipedia is asking AI companies, once again, to pay for scraping its data.But first, back to that big move by Softbank and its CEO, Masayoshi Son. It cashed out its stake in Nvidia in October, the same month that the chipmaker hit a $5 trillion valuation. The $5.8 billion it netted will be redirected to OpenAI, part of a promised $30 billion to be invested in the maker of ChatGPT.Marketplace's Meghan McCarty Carino spoke with Anita Ramaswamy, columnist at The Information, about what all this means.SoftBank Sells Its Nvidia Stake for $5.8 Billion to Fund OpenAI Bet - The Wall Street JournalSoftBank sells its entire stake in Nvidia for $5.83 billion - CNBCApple Delays Release of Next iPhone Air Amid Weak Sales - The InformationiPhone Air Sales Are So Bad That Apple's Delaying the Next-Generation Version - MacRumorsWikipedia urges AI companies to use its paid API, and stop scraping - TechCrunchIn the AI era, Wikipedia has never been more valuable - the Wikimedia Foundation

This week we learned the Japanese investment firm Softbank sold all of its stake in the juggernaut chipmaker Nvidia. We'll get into why on today's “Marketplace Tech Bytes: Week in Review.” Plus, Apple is reportedly pushing back the release of its thinnest iPhone, the Air, and Wikipedia is asking AI companies, once again, to pay for scraping its data.But first, back to that big move by Softbank and its CEO, Masayoshi Son. It cashed out its stake in Nvidia in October, the same month that the chipmaker hit a $5 trillion valuation. The $5.8 billion it netted will be redirected to OpenAI, part of a promised $30 billion to be invested in the maker of ChatGPT.Marketplace's Meghan McCarty Carino spoke with Anita Ramaswamy, columnist at The Information, about what all this means.SoftBank Sells Its Nvidia Stake for $5.8 Billion to Fund OpenAI Bet - The Wall Street JournalSoftBank sells its entire stake in Nvidia for $5.83 billion - CNBCApple Delays Release of Next iPhone Air Amid Weak Sales - The InformationiPhone Air Sales Are So Bad That Apple's Delaying the Next-Generation Version - MacRumorsWikipedia urges AI companies to use its paid API, and stop scraping - TechCrunchIn the AI era, Wikipedia has never been more valuable - the Wikimedia Foundation

This week, we discuss Facebook scams, engineering management trends, and the past and present of curl. Plus, when's the right time to put up the Christmas tree? Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/Zmu61wJDuc8?si=vjtzyCGTvdOpUsIC) 546 (https://www.youtube.com/live/Zmu61wJDuc8?si=vjtzyCGTvdOpUsIC) Runner-up Titles Matt has a lot of room tone. I shut the kitchen door . You gotta just reboot all of Australia every morning. Did you see my water dragons? Didn't he die? I'm worried about the future. Quality of revenue. The spatula is higher than the plunger. This discussion has really raised my morale. I know what your API is. Rundown Meta estimates that it earns 10% of its revenue from scams, report says (https://techcrunch.com/2025/11/06/meta-estimates-that-it-earns-10-of-its-revenue-from-scams-report-says/) "Good engineering management" is a fad (https://lethain.com/good-eng-mgmt-is-a-fad/) When CEO pay exploded (https://www.npr.org/2025/09/17/nx-s1-5543496/when-ceo-pay-exploded) Yes (https://daniel.haxx.se/blog/2025/11/04/yes-really-curl-is-still-developed/), (https://daniel.haxx.se/blog/2025/11/04/yes-really-curl-is-still-developed/) really, curl is still developed (https://daniel.haxx.se/blog/2025/11/04/yes-really-curl-is-still-developed/) Relevant to your Interests Apple Nears $1 Billion-a (https://www.bloomberg.com/news/articles/2025-11-05/apple-plans-to-use-1-2-trillion-parameter-google-gemini-model-to-power-new-siri?utm_source=www.therundown.ai&utm_medium=newsletter&utm_campaign=apple-taps-gemini-for-siri-overhaul&_bhlid=f3b07e5cbf4d320ee5c9499c78df1c65a1d98608)- (https://www.bloomberg.com/news/articles/2025-11-05/apple-plans-to-use-1-2-trillion-parameter-google-gemini-model-to-power-new-siri?utm_source=www.therundown.ai&utm_medium=newsletter&utm_campaign=apple-taps-gemini-for-siri-overhaul&_bhlid=f3b07e5cbf4d320ee5c9499c78df1c65a1d98608)Year Deal to Use Google AI for Siri (https://www.bloomberg.com/news/articles/2025-11-05/apple-plans-to-use-1-2-trillion-parameter-google-gemini-model-to-power-new-siri?utm_source=www.therundown.ai&utm_medium=newsletter&utm_campaign=apple-taps-gemini-for-siri-overhaul&_bhlid=f3b07e5cbf4d320ee5c9499c78df1c65a1d98608) Sam Altman on Trust, Persuasion, and the Future of Intelligence (https://conversationswithtyler.com/episodes/sam-altman-2/) ‘Vibe coding' named Collins Dictionary's Word of the Year | CNN Business (https://www.cnn.com/2025/11/06/tech/vibe-coding-collins-word-year-scli-intl) Automattic Inc. Claims It Owns the Word 'Automatic' (https://www.404media.co/automattic-automatic-trademark-matt-mullenweg-kevin-geary/) IKEA Debuts 21 HomeKit-Compatible Smart Bulbs, Sensors, and Controls (https://www.macrumors.com/2025/11/06/ikea-homekit-compatible-matter-products/) The wildest stuff Elon Musk said at Tesla's shareholder meeting (https://sherwood.news/tech/the-wildest-stuff-elon-musk-said-at-teslas-shareholder-meeting/) CNCF Launches Kubernetes AI Conformance Program (https://www.cncf.io/announcements/2025/11/11/cncf-launches-certified-kubernetes-ai-conformance-program-to-standardize-ai-workloads-on-kubernetes/) Russia's grand reveal of humanoid robot couldn't have gone worse (https://www.msn.com/en-ca/news/us/russia-s-grand-reveal-of-humanoid-robot-couldn-t-have-gone-worse/vi-AA1QhJo4) How AWS is losing the younger generation with complexity (https://www.theregister.com/2025/11/04/aws_genz_misery_nope/) OpenAI Races to Quell Concerns Over Its Finances (https://www.nytimes.com/2025/11/06/technology/openai-finances-debt-data-centers.html) 'Big Short' investor Michael Burry accuses AI hyperscalers of artificially boosting earnings (https://www.cnbc.com/2025/11/11/big-short-investor-michael-burry-accuses-ai-hyperscalers-of-artificially-boosting-earnings.html) Here's How Much OpenAI Spends On Inference and Its Revenue Share With Microsoft (https://www.wheresyoured.at/oai_docs/?ref=ed-zitrons-wheres-your-ed-at-newsletter) Apple Announces Launch of U.S. Passport Feature in iPhone's Wallet App (https://www.macrumors.com/2025/11/12/apple-launches-digital-id-passport-feature/) Nonsense Interview with Dying Company's VP (https://www.youtube.com/watch?v=VCivp2qnhr8) As Seen on TV (https://youtu.be/UWRyj5cHIQA?si=fc1qwhZNEC62rJLy) Conferences Wiz Wizdom Conferences (https://www.wiz.io/wizdom), November 17-19, London The good hospitality from Keith Townsend (https://x.com/CTOAdvisor/status/1988456002425933930). DevOpsDayLA at SCALE23x (https://www.socallinuxexpo.org/scale/23x), March 6th, Pasadena, CA Use code: DEVOP for 50% off. CFP open until Dec. 1st. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Pluribus (https://www.google.com/aclk?sa=L&ai=DChsSEwisxpqP-eqQAxVFSn8AHR6FOMQYACICCAEQABoCb2E&co=1&gclid=CjwKCAiA2svIBhB-EiwARWDPjjmD6718HOOqC414OXZs0u8dW0PE4XbbLxKCesXBmHz2DD96k2KgCxoCvOEQAvD_BwE&cid=CAASlwHkaMetL8oRnrsnuPeFVXImYyu1usmDal_aspRDhe2cNIhNToYYI1jSmG_Bxslc264Q76jo4kz7dVIHuqYJzst_jfMmHITrqoBOlK2AE8EloWvO2XvKvxqrxqBZgEmFDH377MXBF-DwA7t4YO3HduIMQxO8nlCnGIgfexXWgnl2P5YlNEhC7HqF4ZwzVO3nsboWT_W1BI59&cce=1&sig=AOD64_3wbnGZJFkbzu50fr2-mB9XrnrbiA&q&adurl&ved=2ahUKEwitx5OP-eqQAxVvmmoFHZbLAAsQ0Qx6BAhKEAQ) Matt: Hades 2 (https://www.supergiantgames.com/games/hades-ii) Coté: Camo (https://reincubate.com/camo/) Photo Credits Header (https://unsplash.com/photos/a-large-christmas-tree-is-lit-up-with-lights-KS6IYAwbZHM)

In this episode of Defender Fridays, we talk to Alec Fenton, VP Security Operations at Foresite Cybersecurity, practical career advice for defenders, SOC metrics that actually matter and AI in security operations.Join the Defender Fridays community, live every Friday, to discuss the dynamic world of information security in a collaborative space with seasoned professionals.Alec is a seasoned Cyber Security professional with over 15 years of extensive experience across many IT domains. With a career spanning more than a decade, Alec has honed his expertise in addressing a broad spectrum of cybersecurity challenges, leveraging his analytical prowess and hands-on approach to leadership.Throughout his career, Alec has navigated the intricate landscape of IT security, working across various sectors including managed service providers and private companies. His tenure as an analyst in the cybersecurity space has not only equipped him with a deep understanding of emerging threats and vulnerabilities but has also shaped his leadership philosophy of "lead from the front."Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform. This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at limacharlie.io.

Inside The Kale Logistics WonderworldWriting for the FlyingTypers is a pretty unique experience.You just need to keep your brain connected and let your imagination run: thepages open up in front of your eyes as though you were in a picture movie.Today our inspiration comes from Rajan Subramanian, Chief Product and Chief AI Officer at Kale Logistics. If you hear his name and you think that he is dealing with AI and all the hottest topics that are on today's menu in logistics automation, your picture is there: you are directly plunged in the haunting rhythm of the Sorcerer's Apprentice in Fantasia, the 1940 superb cinematic artwork.  I was curious tounderstand how complicated (or simple in fact) is Rajan's work, delivering top-tier digital products to a vast audience of logistics enterprises.     Rajan Subramanian is a strategic and hands-on technology leader with over two decades' experiencedriving enterprise-scale transformations through innovative digital platforms,unlocking measurable business value with data drive products. He also has deep expertise in data engineering, machine learning and cloud architecture.  With due respect the most interesting idea for us is this one: integrating generative AI to transform complex data intoactionable intelligence. Bridging executive strategy with engineeringexecution, Rajan has helped Fortune 500 organizations across fin-tech,healthcare, communications and supply chain evolve into data-driven, API-first enterprises.

Hello, all you great people trying to figure out how to do right by patients. Welcome to it. I was and am always extremely curious if any of what we talk about over here on Relentless Health Value has, in any way, percolated over to your average employer CEO—the ones who do not listen to this show, I mean. For a full transcript of this episode, click here. If you enjoy this podcast, be sure to subscribe to the free weekly newsletter to be a member of the Relentless Tribe. This is what I try to figure out during my conversation upcoming here with John Quinn from Wellnecity® today, and I score some advice to boot for employers in the face of any of these revelations that they may have. That's what's gonna go down today, and this whole endeavor is a decent plan, if I do say so myself, because John Quinn chats up a lot of employer CEOs. He's certainly got a bit of a catbird seat there. So, taking it from the top, I wanted to see how clued in these employer C-suites might be to a fundamental myth, which, if employer folks don't realize it is in fact a myth, it means that a whole lot of transformational power is going nowhere fast. And this myth is the mother of all myths: the "there is a market in healthcare" myth. We've been on a tear about this for three episodes now, at least as it relates to hospitals and health systems. I'm gonna refer everybody to LinkedIn because Luke Trocchio put up a, I don't know what you call it, a reel, highlighting something that Shane Cerone said in episode 490. And then I'm gonna tell you why whatever CEOs at self-insured employers are thinking here makes all the difference in the world. But what Shane said is this, "The myth is that we have a functioning marketplace, and we don't." Shane continues, "What I mean by [there is no actual healthcare market], as somebody who's been a CEO of multiple hospitals and health systems, hospitals don't compete on price for patients. It … doesn't work that way. And so, we don't really have a normal market incentive to reduce cost or, in this case, the price of services in order to remain competitive." Now look, and this isn't rocket science, but it needs to be said out loud. The reason there is no healthcare market largely is because self-insured employers have not insisted upon there being one. Is that fair? I don't know. And whether or not it's fair is irrelevant to this point. Self-insured employers pay for healthcare for, like, 160 million Americans. They are largely the demand curve. They are the demand side of any market that exists. Because you know something that doesn't our market make? You can't ask the supply side to create demand elasticity. You can't get a seller to get a buyer to buy or not buy at some price point. That would be like a comedy skit. Except in this case, you know, patients die or go bankrupt because they can't afford care. So, it's not really all that funny. But if in this country we are depending on health system prices being constrained by a market, and then you don't have a buyer who doesn't buy when the price is higher than the buyer wants to pay or a buyer who doesn't buy unsafe stuff or low-quality goods or services, you're gonna get sky-high prices. Welcome to it right now. Also, if there's no competition, again, no market. But competition a lot of times doesn't surface if there's no point in starting up a business because there's no demand for lower prices or higher-quality care. I mean, if no one cares if you have lower prices or higher quality, then how are you gonna attract patient volume or steal market share, right? Like, unless you're really good at marketing, I guess, or have accumulated market power. I'll say this again. If our whole, the whole healthcare sector pricing structure is built on the myth that there is a market and then there's no market and employers aren't filling for whatever reason, the vital demand side role that they have to play for there to be a market, then, right … hello, 37% renewals like we see coming up in New Jersey. Listen to the show with Kevin Lyons (EP487, Part 1). So, I say all this to say, do employer CEOs even know they have one job here? And I'm not talking about, again, whether or not this is fair, whether they're capable of pulling this off. I'm just distilling this whole thing down to this is the question that remains on the ground. So anyway, this is first and foremost what I go after John Quinn from Wellnecity to figure out today: Where's your average CEO in this learning curve? Now here's some demand curve optimism. The show from two weeks ago with Elizabeth Mitchell (EP491) from PBGH, the Purchaser Business Group on Health. In that show from a couple weeks ago, we talk about what PBGH members, who are very large employers, what they're up to. So, certainly go back and listen to that if you haven't. Okay, so with that, here's my conversation with John Quinn from Wellnecity, as I have mentioned; and you'll get two things out of this conversation. Number one, a level set on what employers' leadership teams are figuring out and why they are figuring this out. (Renewal shocks and employees complaining about affordability much?) But also how the mindset needs to shift in the C-suite for anything to really happen here. In other words, what's the assignment and what's some very top-line advice to get there? That's how I finish up the conversation with John Quinn today. Do just wanna note that Wellnecity so kindly offered to pick up some of the tab to produce this Relentless Health Value show, which, as I keep saying is … yeah, it is expensive to keep this train on the track. People often forget it's not just what goes into the recording, the hosting, the producing, the editing of a podcast, but there also is a whole Web site and an API feed and headshots and graphics and transcriptions and a proofreader. It's a whole thing, guys, even if the host is a volunteer with a day job. So, thanks much to Wellnecity for the contribution to the fund and for coming on the pod today. John Quinn is CEO of Wellnecity. Wellnecity does health plan management for employers that self-fund their health plan. The key role Wellnecity plays is how do they help those employers better manage the spend category called health benefits. This podcast, as I said, is partially sponsored by Wellnecity and also Aventria Health Group. Also mentioned in this episode are Wellnecity; Luke Trocchio; Shane Cerone; Kevin Lyons; Elizabeth Mitchell; Purchaser Business Group on Health (PBGH); Paul Holmes; Peter Hayes; Healthcare Purchaser Alliance; Mark Cuban; Lauren Vela; Cora Opsahl; Andreas Mang; Jon Camire; Eric Bricker, MD; and Christine Hale, MD, MBA. For a list of healthcare industry acronyms and terms that may be unfamiliar to you, click here. You can learn more at Wellnecity and follow John on LinkedIn.   John Quinn is the founder and CEO of Wellnecity, a health tech innovator on a mission to measurably improve the quality and affordability of employer-sponsored health plans in the United States. Under John's leadership, Wellnecity developed the groundbreaking Smart Hub platform, which integrates data from multiple vendors to simplify health plan management. Smart Hub enables organizations to measure ROI objectively, uncover savings, enhance member engagement, and reduce fiduciary risk. Building on this foundation, Wellnecity has launched its next-generation plan management platform, equipping HR leaders with real-time oversight, vendor accountability, and measurable ROI. The platform empowers leaders to act in the moment, redirecting spend, simplifying oversight, and delivering better healthcare for employees. John is also the author of Benefits Revolution: The Next Generation of Employer-Sponsored Healthcare and is widely regarded as a thought leader in the healthcare space. He believes healthier businesses are built on smarter healthcare for employees, and that data is the key to driving this transformation. Prior to founding Wellnecity, John spent 25 years at Andersen Consulting, Diamond Technology Partners, and McKinsey & Company. He advised Global 1000 companies and high-growth start-ups, helping them build new businesses, products, and channels. His expertise in digitized information and network effects has driven meaningful business model innovation. John is a sought-after speaker on topics such as the benefits revolution, the power of data, fixing what's broken, and health tech leadership. Helping organizations deliver innovation is his mission; fixing what's broken is his passion.   07:06 Why CEOs are looking more closely at healthcare spend. 08:06 EP397 with Paul Holmes. 08:21 How savings and health benefits are directly connected. 10:45 EP436 with Elizabeth Mitchell. 11:46 What missed earnings look like in relation to healthcare. 14:27 How costs have been shifting to employees for years, and why this doesn't work anymore. 17:36 EP475 with Peter Hayes. 18:23 What employers need to do instead of cost shift. 19:12 EP406 with Lauren Vela. 21:30 Why it's important to make health benefit changes at the speed of business, not at the speed of the benefits year. 26:17 Why is it important to put a finance function into your benefits? 27:10 EP488 with Mark Cuban and Cora Opsahl. 27:33 EP478 (Part 1) with Andreas Mang and Jon Camire. 27:35 Why daily data matters. 31:10 EP487 (Part 1) with Kevin Lyons. 31:21 Why it's important to hold vendors accountable. 31:47 Why it's important to move on from vendors who can't hold up to your scrutiny and needs. 33:46 EP472 with Eric Bricker, MD. 34:46 EP471 with Christine Hale, MD, MBA.   You can learn more at Wellnecity and follow John on LinkedIn.   John Quinn gives advice to #employer #CEOs on the #healthcaremarket on our #healthcarepodcast. #healthcare #podcast #financialhealth #patientoutcomes #primarycare #digitalhealth #healthcareleadership #healthcaretransformation #healthcareinnovation   Recent past interviews: Click a guest's name for their latest RHV episode! Dr Sam Flanders and Shane Cerone (EP492), Elizabeth Mitchell (EP491), Shane Cerone and Dr Sam Flanders (Part 1), Dan Greenleaf (Part 2), Dan Greenleaf (Part 1), Mark Cuban and Cora Opsahl, Kevin Lyons (Part 2), Kevin Lyons (Part 1), Dr Stan Schwartz (EP486), Dr Cristin Dickerson

In This Episode Today on Breaking Banks we feature the newest addition to the Provoke.fm family, Breaking Banks Africa. In this episode Breaking Banks Africa Host and Executive Producer Matteo Rizzi sits down with Sandra Yao, Ecobank's Group Head: Cross Border Remittance, Payments & BaaS (Fintech). With 20 years of experience driving fintech and payment innovation across Africa, Sandra brings a unique “builder's mindset” into one of the continent's largest financial institutions, operating in 39 markets. From pioneering mobile money to tackling fragmented infrastructure and regulatory environments, Sandra shares how interoperability, accessibility, and digital transformation are reshaping the future of payments in emerging economies. Additionally, Sandra reveals how Ecobank is empowering young African talent, forming major tech partnerships (including Google), and creating API-first solutions to help fintech founders scale across borders. This episode is a must-listen for anyone passionate about Africa's digital growth story, inclusive innovation, and hearing about those turning vision into execution—from Nairobi to the world.

In this episode, host Josh interviews Matt Altman, marketplace lead at Right Side Up, about advanced strategies for launching and scaling brands on Amazon. Matt shares actionable insights on budgeting for product launches, optimizing PPC campaigns by focusing on conversion rates, and leveraging Amazon's internal data tools. He emphasizes the importance of consistently launching new, non-competing products to avoid cannibalization and drive growth. The discussion concludes with practical takeaways for sellers aiming to scale, plus an offer for a free brand audit from Matt's agency, Right Side Up.Chapters:Introduction to Matt Altman and Right Side Up (00:00:00)Josh introduces Matt Altman, his background, and the success of his agency, Right Side Up.Current Product Launch Strategies on Amazon (00:00:31)Matt discusses effective modern tactics for launching new products and the importance of a sufficient launch budget.Budgeting for Product Launches (00:01:02)Explanation of current budget requirements, category selection, and why launch budgets have increased.Estimating Launch Budgets and Pre-Launch Data Collection (00:02:54)How to estimate launch budgets, use Amazon Ads, and gather pre-launch data using search query reports.Leveraging Search Query Performance Reports (00:04:14)Matt explains the value of Amazon's search query performance reports versus brand analytics.Keyword Targeting and PPC Campaign Setup (00:05:19)Details on targeting specific keywords, campaign types, and optimizing for conversion rates over ACOS/TACOS.ASIN Targeting and Relevancy Building (00:07:44)Using ASIN targeting campaigns to build relevancy for launch keywords and leveraging historical data.Scaling to Eight Figures and Beyond (00:08:09)Advice for established sellers on scaling, focusing on new product launches, and avoiding complacency.Avoiding Product Cannibalization and Diversifying Product Lines (00:10:41)Strategies to prevent keyword overlap, expand product lines, and increase brand reach without cannibalizing sales.Actionable Takeaways for Sellers (00:12:54)Josh summarizes three main takeaways: aggressive product launches, PPC optimization via conversion rates, and image optimization.Strategic Delegation and Removing Bottlenecks (00:15:04)Matt advises stepping back, identifying bottlenecks, and delegating to scale the business effectively.Conclusion and Free Audit Offer (00:16:20)Matt shares where listeners can learn more and offers a free audit for podcast listeners.Links and Mentions:ToolsRight Side UpAmazon Search Query ReportsBrand AnalyticsPacvueEcom AnalyticsData DiveTranscript:Josh 00:00:00  Today, I'm super excited to introduce you to Matt Altman. Matt leads the marketplace at right side up. Matt has over 12 years of selling experience. He's launched and sold multiple personal brands, all starting from a retail arbitrage budget. Four years ago, he started an agency right Side up to help high growth CPG brands focus on dominating the marketplace. They've been able to scale many brands from 0 to 3 million in monthly sales. Welcome to the podcast, Matt.Matt 00:00:29  Thanks for having me. Josh, how are you doing?Josh 00:00:31  Doing great. What are some of the key things that you, you advise or recommend when launching a brand new product on Amazon that are working today? Because, as you know, a lot of those black hat tactics, you know, have come and gone. you also have the, you know, the rebates that everybody was doing, and now it's kind of leveled the playing field a little bit more. Tell me what you're doing that's been working for you guys.Matt 00:00:55  Yeah. So first off, I think that the biggest thing is making sure you have a big enough budget to launch your products.Matt 00:01:02  like the days of 5 to $10,000 budgets to launch products are just gone in my eyes, at least in the spaces that I work in. so we usually overestimate our budgets by like 20 to 30% of what we actually think it would be just to make sure that we're in a good place in case it doesn't go the way that we want it to. but outside of that, we're looking for a couple of major things. one is we want to see continued growth in the category. Amazon's making that way easier now with like the search query reports, the product Opportunity Explorer. There's so many internal tools that they're giving you access to now that you can really easily find that. And then the other big thing that we're looking for is categories that you've got maybe like 3 or 4 power players in. And by power players they aren't really doing that much. They're still kind of growing, but they're ahead of like the other 20 items there. really it just kind of is showing us that, hey, there's enough sales to go around.Matt 00:02:01  If these four people can all kind of be around the same and customers really don't care which one they're choosing right now, they're just basically picking whichever ones at the top from what we can see. So yeah, we used to go into very heavy like categories where you would just, I mean, like launches would be half 1 million to $1 million. Wow. and if you could make them work. Yeah. The payback is amazing because of the volume that some of those categories do. But if you lose, like, it absolutely sucks. so for sure, what we're looking at like 50 to $75,000, to launch a product right now and the supplement space that we're kind of going after, and we've seen it, it's kind of the sweet spot for everything. so if we do find a product and we think it's going to cost more than that to actually launch it, we'll hold off for a bit and see if we can find some other ones that are within our kind of thresholds.Josh 00:02:53  That makes sense.Josh 00:02:54  So how do you estimate, you know, that budget, right. What's the difference between a half 1 million to $1 million product launch budget versus something that's 50 to $75,000? And how do you estimate that?Matt 00:03:07  Yeah. So the the biggest thing is ads. I mean, we've really in the last like three months, all of our launches have been almost exclusively on Amazon through Amazon Ads. so we're pulling averages of cost per clicks through the advertising API and really just looking at, okay, what is the conversion rate of the top products? If we wanted to spend to get that conversion rate on that keyword, like what would it cost us per day and working that backwards? the other big thing that I don't know anyone else that's kind of touched on this, but what we what we've been doing here recently is we have a seller account where we'll create the product beforehand. It's not the product that we're actually going to sell. We'll put some items as merchant fulfilled, and then we'll just have ourselves by the products.Matt 00:03:54  So that way we get all the search query report data for that product before we actually launch it.Josh 00:03:58  Oh, that's that's fascinating. So you do that in a separate account then? Is that what you're saying?Matt 00:04:03  We've been doing it in the same account, just like a different brand name. and throw up a listing merchant fulfilled and do a couple buys through it, and then you get all that data.Josh 00:04:14  Intere...

In this episode of The CSS Podcast, Una and Bramus cover building customizable select menus. Have you ever had to build a dropdown menu where you want to do something as simple as change the color, or add little flag icons? You know how hard it can be! Discover how the web platform is solving this once and for all with the new customizable select API. Resources: Customizable select demos → https://goo.gle/43G5ruv    Una Kravets (co-host) Bluesky | Twitter | YouTube | Website Making the web more colorful @googlechrome  Bramus Van Damme (co-host) Bluesky | Mastodon | YouTube | Website @GoogleChrome CSS DevRel; @CSSWG; Scuba Diver

In this Building Better Foundations episode, hosts Rob Broadhead and Michael Meloche continue their conversation with Greg Lind, founder of Buildly and OpenBuild. They explore how automating quality in software development changes the way teams build and test software. Greg explains that AI and automation can improve collaboration and prevent errors before they happen. As a result, teams can deliver code faster, maintain consistency, and build stronger foundations for long-term success. Greg's experience across startups and open-source projects has shown him one simple truth: quality can't be bolted on at the end—it must be built into the process from the start. "QA often gets left until the end. But it has to start from the developer." — Greg Lind About the Guest — Greg Lind Gregory Lind is an American software developer, author, and entrepreneur with over 20 years of experience in open-source innovation, software efficiency, and team transparency. He's the founder of Buildly in Brooklyn and co-founder of Humanitec in Berlin, helping organizations modernize systems through collaboration and automation. A frequent speaker at Open Gov and Open Source conferences, Greg advocates for open, scalable solutions and smarter software processes. His upcoming book, "Radical Therapy for Software Teams" (Apress, 2024), explores how transparency and AI can transform how teams build software. Automating Quality Starts with Developers Greg explains that every developer should think like a QA engineer. Testing isn't something done after code is written—it's something built into how code is written. He stresses that developers should write unit tests early and often, focusing on verifying object-level functionality rather than simply checking UI forms or user flows. QA should then expand from there, building additional layers of testing as complexity grows. "I learned that I need to think like a QA person from the very beginning." — Greg Lind By shifting QA upstream, teams reduce rework, accelerate release cycles, and improve code confidence. Automating Quality in Software Development Across the Pipeline At Buildly, Greg and his team integrate testing automation into every stage of the development pipeline. Tools like Robot Framework and Selenium handle both front-end and API-level testing, while Git pre-commit hooks ensure tests are written before code even reaches the repository. "You have to make sure those tests have already been written. If there isn't a test, it pulls it back and says, 'make sure that you have your test in before you check it in.'" — Greg Lind This system ensures that developers can't skip testing—and that QA has visibility into every build. It's a workflow that blends accountability with automation, reinforcing a culture where quality is everyone's job. AI's Role in Continuous Improvement Greg sees AI as a critical ally in maintaining software quality at scale. Rather than replacing QA engineers, AI helps automate the tedious parts of the process—like generating basic test cases, reviewing commits, or spotting missing standards in pull requests. "I don't mean to put that out there as a replacement for QA in any way. Developers need to be in the process, and QA are developers as well." — Greg Lind AI's ability to analyze large volumes of commit history and testing data helps teams identify trends, recurring issues, and areas for improvement. This frees human testers to focus on strategic validation, exploratory testing, and creative problem-solving. Transparency, Collaboration, and Learning Another major theme Greg highlights is transparency. Buildly's AI-driven summaries and automated reports make quality metrics visible to everyone on the team—developers, product managers, and QA alike. "It's not about who wrote the bad test—it's a learning process. Every pull request is an opportunity to make the code better." — Greg Lind This openness removes blame from the process and instead encourages collaboration and improvement. Code reviews become opportunities to mentor, learn, and evolve—not just check boxes. Evolving Agile for the AI Era As Rob and Michael point out, Agile principles still apply—but the implementation must evolve. Traditional sprint structures don't always fit AI-accelerated environments. Greg agrees, noting that the key is flexibility: adapt the process, automate what you can, and always look for ways to improve. "You don't have to be a slave to what you think the process is. Agile literally tells you—adjust it as your team and your project evolve." — Rob Broadhead Automation and AI are simply the latest tools in that evolution—helping teams move faster, collaborate better, and keep quality at the core of every release. Final Thoughts on Automating Quality in Software Development Greg Lind's insights in this episode reinforce a powerful truth: automating quality isn't about replacing people—it's about empowering them. When developers, QA, and AI systems work together, software development becomes a continuous cycle of improvement, learning, and trust. As teams embrace automation and transparency, they don't just ship faster—they build stronger, smarter, and more sustainable software foundations. 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 Boost Your Developer Efficiency: Automation Tips for Developers Automating Your Processes Automating Solutions – Solve First, Then Perfect Building Better Foundations Podcast Videos – With Bonus Content

MishiPay has scaled from processing $10 million to over $250 million in annual transactions by abandoning product purity for market pragmatism. What started as a mobile-first scan-and-go solution evolved into a comprehensive checkout platform spanning self-checkout kiosks, RFID systems, mobile POS, and traditional cash registers—now deployed across 2,000+ stores in North America, Europe, the Middle East, and Australia. In this episode of Category Visionaries, we sat down with Mustafa Khanwala, CEO and Founder of MishiPay, to dissect why the "inferior" product often wins in retail tech, how trust-building mechanics differ fundamentally across geographies, and what it actually takes to maintain startup agility at enterprise scale. Topics Discussed: The seven-year journey from consumer mobile app to B2B checkout infrastructure Why MishiPay nearly failed by over-indexing on superior UX instead of adoption curves The 2022 pivot that unlocked triple-digit revenue growth with flat headcount How checkout solution requirements vary by customer visit frequency (weekly grocery vs. annual travel retail) Trust-building in enterprise sales: face-to-face requirements in Middle Eastern markets vs. video-first Western sales cycles Delivering two-week go-live timelines and 10-minute UI changes while maintaining 99.9999% uptime AI integration strategy: internal efficiency first, then customer-facing analytics and autonomous POS management GTM Lessons For B2B Founders: Adoption friction kills better products: Mustafa spent years refusing to build self-checkout because scan-and-go was objectively superior UX. The company nearly died defending this position. "Should we have started on some of our other products in 2019 instead of 2022? Probably." The lesson isn't about building inferior products—it's about understanding that customers evaluate "better" through implementation risk, training overhead, and behavior change required. B2B founders must map the gap between current state and ideal state, then build the bridge products that de-risk each transition step, even if those bridges feel like compromises. Customer frequency determines viable solution complexity: Scan-and-go requires significant user education investment that only generates ROI with weekly-plus usage. In travel retail where 70-80% of customers visit 1-2x annually, that education cost never pays back. MishiPay now matches solution types to visit patterns: scan-and-go for high-frequency grocery, staff-assisted mobile POS for low-frequency travel retail, RFID self-checkout for mid-frequency fashion. B2B founders should calculate the learning curve payback period against actual usage frequency—if users won't encounter your product enough times to justify the learning investment, you need a different entry point regardless of how good the end-state experience is. Enterprise stability with startup agility is a wedge, not a platitude: Every vendor claims this. MishiPay operationalizes it through specific SLAs: two-week store go-lives, 10-minute button changes, two-day promotion additions, two-week payment method integration—all while maintaining 99.9999% uptime that enterprise POS demands. This isn't about "moving fast," it's about architecture decisions that enable rapid customization without stability trade-offs (mobile-first, cloud-native, API-driven). B2B founders should define their agility claims in measurable timelines and uptime guarantees, not adjectives. If you can't operationalize "flexibility" into specific hours or days for changes, it's not a differentiator. Geographic trust-building fundamentally differs in mechanism, not degree: Western enterprise sales: product merit → pilot → relationship building → expansion. Middle Eastern enterprise sales: relationship building → pilot opportunity → product merit demonstration → deal. The difference isn't relationship importance (both require it), but sequencing. Mustafa noted Middle Eastern business culture evolved from pearl diving where "their whole job was to be able to look at someone in the eyes and decide if that person was going to scam them." Face-to-face happens pre-deal in Middle East, post-deal in the West. B2B founders expanding globally must rebuild their sales motion sequencing by geography, not just translate materials or add local reps. Staff productivity scales by solving the manager's problem, not the user's pain: MishiPay's roadmap progression reveals a pattern: first solve for store staff (checkout experience), then assistant managers (store operations), then store managers (performance analytics), then HQ (multi-store optimization). Each layer up requires data aggregation from the layer below. The AI analytics launch targets store-level decisions (pricing, promotions, inventory) using transaction data from POS—this expands buyer persona from IT/Operations to Finance/Merchandising. B2B founders should map their product expansion as a vertical climb through the org chart, where each new buyer persona requires accumulated data from the previous user tier.   // 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  

On this episode of The SaaS CFO Podcast, Ben Murray welcomes Matt Blumberg, CEO of Markup AI, to discuss his remarkable journey through the tech startup world. With over two decades of leadership experience—including building moviefone.com, scaling Return Path to $100 million in revenue, and leading executive search disruptor Bolster—Matt Blumberg brings a wealth of insight into startup growth, business transformation, and adapting to evolving technology. In this conversation, Matt Blumberg shares the story behind Markup AI, a company redefining how businesses safeguard their content using AI-powered “content guardian agents.” He discusses the recent rebranding from Acrolinx, the impact of large language models on both product and customers, and their transition into a new API-first, consumption-based business model. Listeners will hear lessons about navigating private equity ownership, fundraising for transformative pivots, and crafting multi-pronged go-to-market strategies—from enterprise sales to developer-driven adoption. Tune in for an honest look at leadership, innovation, and what's next for Markup AI in the dynamic world of SaaS and AI content management. Show Notes: 00:00 "AI Guardian for Perfect Content" 03:51 Acrolinx's AI Evolution 09:33 "Defining AI Content Guardians" 11:18 Private Equity Risks in Mid-Market 13:57 AI Adoption Strategies in Enterprises 18:44 "AI Growth and Rebrand Focus" Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/markup-ai-raises-27-5-million-in-funding Matt Blumberg's LinkedIn: https://www.linkedin.com/in/blumbergmatt/ Markup AI's LinkedIn: https://www.linkedin.com/company/markupai/ Markup AI's Website: https://markup.ai/ To learn more about Ben check out the links below: Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

SHOW: 975SHOW TRANSCRIPT: The Cloudcast #975 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:LaunchAny websiteapicoach.io (note)Lessons learned after a decade of API StrategyLatest book: “Principles of Web API Design: Delivering Value with APIs and Microservices (Addison-Wesley under the Vaughn Vernon signature series)Upcoming report on AI-Assisted API DesignJames on The Cloudcast #153James on The Cloudcast #435Topic 1 - Welcome back to the show James. It's hard to believe it's been 11 years since we last spoke on the show! Give everyone a brief introduction.Topic 2 - To say we've come a long way with APIs as an industry is an understatement. But let's set the table for everyone. In your interactions with Enterprise customers, what trends or standards are currently top of mind? Topic 3 - You wrote an article (link in show notes) titled Lessons after a Decade of API Strategy. What struck me from the article was the combination of technology, business, and even culture, all of which have to come together. When talking to Enterprises these days, have we moved past understanding what APIs are and straight to solving problems with APIs?Topic 4 - What are the most common use cases you see today? API transformation? API sprawl and consolidation/documentation? Integration of SaaS/3rd party services?Topic 5 - No conversation would be complete without a discussion about AI and AI's impact on API's. I view this in several different ways. AI is creating APIs, and AI is being consumed through APIs. How do you think about AI and its impact? What's changed and what has stayed the same?Topic 6 - Second aspect to the AI topic, where and how does security fit into this intersection of AI and APIs?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

The expiration of the Cybersecurity Information Sharing Act (CISA) on September 30, 2025, has resulted in a notable decline in U.S. cyber defense capabilities, with a reported drop of over 70% in the sharing of threat indicators. This lapse has created a legal and operational vacuum, leading to increased delays in alert dissemination and a rise in cyber threats, particularly in critical sectors such as healthcare and energy. Federal agencies and private companies are now hesitant to report incidents without the liability protections that CISA previously provided, resulting in a fragmented response to cyber threats.In response to the growing concerns over cybersecurity, the U.S. Congress has included a provision in the federal government shutdown legislation to extend CISA through the end of January 2026. This extension is crucial for facilitating the sharing of threat data between businesses and government agencies. Meanwhile, the Cybersecurity and Resilience Bill introduced in the UK mandates that medium and large IT management and cybersecurity service providers comply with minimum security standards, reflecting a shift towards greater accountability in protecting critical infrastructure.Additionally, Microsoft and 1Password are advancing passwordless technology, with Microsoft enabling the syncing of passkeys across devices and 1Password integrating a new native Passkeys plugin API for Windows 11. These developments aim to enhance user convenience and security, signaling a shift away from traditional password reliance. EasyDMARC has also launched Touchpoint, an AI-driven sales enablement tool for MSPs, while Enable has introduced a cyber warranty program offering financial protection for cyber incidents.For MSPs and IT service leaders, these developments underscore the importance of adapting to evolving cybersecurity regulations and technologies. The expiration of CISA highlights the need for private networks and MSPs to fill the intelligence gap left by government agencies. As compliance requirements tighten in the UK and the U.S., MSPs that can navigate these changes and assist clients in maintaining security and compliance will find significant opportunities in a rapidly changing landscape. Three things to know today00:00 U.S. Cyber Defense Falters as CISA Act Expires, Threat Sharing Plummets 70% Amid Budget Cuts04:35 Compliance Crossroads: New EU, UK, and U.S. Rules Reshape Data Protection and Cybersecurity for MSPs09:42 Vendors Push Simpler, Smarter Security: Microsoft Syncs Passkeys, N-able Adds Cyber Warranty, EasyDMARC Targets MSP Sales This is the Business of Tech.     Supported by:  https://getflexpoint.com/msp-radio/https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship

On this episode of The Cybersecurity Defenders Podcast we speak with Navroop Mitter, CEO of ArmorText, about the role of Out-of-Band (OOB) communication in cyber incident response.ArmorText Named a Leader in The Forrester Wave™: Secure Communications Solutions, Q3 2024Cyber Resilience: Incident Response Tabletop ExercisesNavroop Mitter is the CEO of ArmorText, a mobile security and privacy company based in the Washington, D.C. area.Before founding ArmorText, Navroop was a Senior Manager in Accenture's North American Security Practice, where he built and led information security programs across multiple regions. He helped double Accenture's Scandinavian security practice within a year and established the firm's first near-shore security delivery center in Argentina, hiring and training over 30 practitioners in under 30 days.Navroop has led large-scale international security engagements, working across cultures and time zones to strengthen teams in the U.S., India, and abroad. Recognized for his entrepreneurial mindset and expertise in identity and access management, he became one of Accenture's most sought-after leaders for complex, multi-country security initiatives.Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform. This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at limacharlie.io.

When four MIT grads decided to build a code editor while everyone else was building AI agents, they created the fastest-growing developer tool ever built. Cursor CEO Michael Truell joins a16z's Martin Casado to discuss the deliberate constraints that led to breakthroughs: why they rejected the "democratization" narrative to focus on power users, how their 2-day work trials test for agency over credentials, and the strategic decision to own the editor when conventional wisdom said it was impossible. Resources:Follow Michael on X: https://x.com/mntruell Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.