Podcasts about CTO

In times of major change–whether in IT or the economy–organizations should take a fresh look at their sourcing strategy. Companies outsourcing key functions need to re-examine the reasoning and scrutinize the results. The same goes for in-house functions. IT leaders need to ask: is our sourcing strategy in line with our current corporate and IT... Read more »

With massive context windows and new agent frameworks, do vector databases still matter? Ram Sriharsha, CTO at Pinecone, joins the conversation to make the definitive case that they're more critical than ever. He explains that at the core of all AI is search, and externalizing this function is non-negotiable for security, auditability, and control.Ram offers a clear starting path for engineering leaders: begin with simple Retrieval-Augmented Generation (RAG) applications, but immediately implement a robust evaluation framework to manage hallucinations and ensure quality. He shares his perspective on the skills that matter most now, arguing that curiosity and the rise of the generalist engineer are critical in an AI-powered world. This episode is a guide to building the AI stack from the ground up, from using AI as a "good junior engineer" for testing to cultivating the engineering mindset of tomorrow.Bring AI into your code review process with LinearBFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Pinecone: pinecone.ioPinecone Tutorials & Blog: Explore guides on RAG, vector databases, and moreConnect with Ram Sriharsha: LinkedInReferenced in today's show:Your New 500K AI Coworkers Just ArrivedHow I influence tech company politics as a staff software engineerCoinbase says 40% of code written by AI, mostly tests and TypescriptCelebrating 1 Trillion Web Pages ArchivedSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

What if your business banking clients could ask a question, in plain English, and get an instant, intelligent answer? No spreadsheets. No manual reports. Just the client, their data, and AI working together. It sounds like science fiction, but it's happening right now. Grasshopper Bank has become the first U.S. bank to enable customers to connect their business banking data directly to Anthropic's Claude AI assistant, and the implications are staggering. We're joined on the Banking Transformed podcast by two visionaries who made it happen: Chris Tremont, Chief Digital Officer, and Pete Chapman, CTO of Grasshopper Bank. They'll reveal how they built a secure bridge between banking and artificial intelligence, why they raced to be first, and what this means for every banking organization in America. This is the conversation where the future of banking gets written. The companies that understand this shift will thrive. Those who don't will be left behind.

As the founder and CEO of Taazaa Inc., Yasir Drabu leads hundreds of passionate engineers in building advanced software solutions for healthcare, finance, eCommerce, and other industries. He has more than 16 years of experience in software development, design, and architecture and has deep expertise in multiple technologies. Yasir is passionate about finding promising new startups and helping them build the software they need to rocket to success. He enjoys working with thought leaders, learning their processes and needs, and then creating software products that make a meaningful impact on humanity. He's also the Co-founder and CTO of Innago, creators of a cloud-based property management software that simplifies the rental process for landlords and tenants. Audiences interested in software trends, SaaS, and the latest technology breakthroughs will gain insights into the future of custom software development for society and industries. Connect with Jon Dwoskin: Twitter: @jdwoskin Facebook: https://www.facebook.com/jonathan.dwoskin Instagram: https://www.instagram.com/thejondwoskinexperience/ Website: https://jondwoskin.com/LinkedIn: https://www.linkedin.com/in/jondwoskin/ Email: jon@jondwoskin.com Get Jon's Book: The Think Big Movement: Grow your business big. Very Big!   Connect with Yasir Drabu: Website: https://www.taazaa.com/ LinkedIn: https://www.linkedin.com/in/yasirdrabutaazaainc/                                                                             *E – explicit language may be used in this podcast.

Best practices once drove growth. But in the AI era, they might be your biggest barrier to progress. Courtney Baker, David DeWolf, and Mohan Rao break down why rigid frameworks like Lean, Agile, and NPS are no match for real-time transformation. They explore how AI is rewriting the rules—and why success now depends on constant reinvention, not static playbooks. David steps into “AI in the Wild” to unpack a headline-grabbing statement from Walmart's CEO: every job—2 million of them—is about to change because of AI. What does that mean for leaders everywhere? Later, Courtney sits down with Andy Sitison, CTO of Share More Stories, to talk about human-centered transformation. They dig into practical AI ethics, how to protect authenticity in a world of generative noise, and what it really takes to build trust with technology.

Please enjoy this encore of Career Notes. Founder and CTO of ShiftLeft, Chetan Conikee shares his story from computer science to founding his own company. When choosing a career, Chetan notes that "the liking and doing has to matter and be in conjunction with each other." Explaining the parallels in his home country of India and where he studied his for his masters in the US, Chetan stresses the need to find someone who inspires you to follow and learn from. On being an entrepreneur, he says, "The entrepreneurial mindset is a sum total of many sufferings that lead to success." Chethan advises you take time out to write narratives so that you are remembered and so that others following a similar path may learn from you. We thank Chetan for sharing his story with us. Learn more about your ad choices. Visit megaphone.fm/adchoices

Please enjoy this encore of Career Notes. Founder and CTO of ShiftLeft, Chetan Conikee shares his story from computer science to founding his own company. When choosing a career, Chetan notes that "the liking and doing has to matter and be in conjunction with each other." Explaining the parallels in his home country of India and where he studied his for his masters in the US, Chetan stresses the need to find someone who inspires you to follow and learn from. On being an entrepreneur, he says, "The entrepreneurial mindset is a sum total of many sufferings that lead to success." Chethan advises you take time out to write narratives so that you are remembered and so that others following a similar path may learn from you. We thank Chetan for sharing his story with us. Learn more about your ad choices. Visit megaphone.fm/adchoices

Aymeric Augustin, c'est le CTO de Qonto, la pépite française qui a révolutionné la gestion des comptes bancaires pros. Dans cet épisode d'Off The Record, il se confie sans filtre sur son parcours, son rôle au sein de Qonto, et les défis quotidiens d'un CTO à la tête d'une scale-up devenue une référence de la French Tech.On parle de management, d'équilibre entre innovation et stabilité, de culture tech à grande échelle, et bien sûr… de l'impact de l'intelligence artificielle sur son métier et sur l'avenir du développement logiciel.

A economia digital requer que plataformas de mobilidade, pagamentos, superapps, varejo, cidades, etc operem em tempo real com alto desempenho e segurança. Redes de alta performance são fundamentais para garantir tais operações escaláveis e eficientes em diversos setores de negócios, especialmente com o aumento das demandas de processamento impulsionadas por inteligência artificial. É crucial que essas redes cumpram rígidos padrões de funcionamento ponta a ponta, já que isso vem moldando a competitividade futura do mercado. O Start Eldorado desta semana mostra a terceira parte do debate gravado em mais um evento da série 'Conexões', realizado na Japan House, e que reuniu executivos que discutiram a relevância das redes para o desenvolvimento de produtos e serviços inteligentes, essenciais para a economia moderna. O painel contou com a participação de Carlo Gonçalves, founder e COO da Greenpass e VP da Abepam (Associação Brasileira das Empresas de Pagamento Automático para Mobilidade); Daniel Elidio, vice-presidente de Tecnologia da Fiserv no Brasil; Renier Souza, CTO da Cisco Brasil; e Roberto Murakami, vice‑presidente de Redes e Telecom da NEC América Latina. Com apresentação de Daniel Gonzales, o Start vai ao ar às 21h, na Rádio Eldorado FM 107,3 (para toda Grande SP), site, apps, canais digitais e assistentes de voz.See omnystudio.com/listener for privacy information.

BONUS: Consulting is Different—How Consulting Contracts Work Against Agile Development, With Jakob Wolman and Wilko Nienhaus  In this BONUS episode, we explore the critical differences between building software as a consultant versus inside a product company. Jakob Wolman contributed an insightful article to the Global Agile Summit book examining how third-party software development operates under entirely different constraints than in-house product development. Joined by Wilko Nienhaus, CTO of Vaimo, a consulting company in Estonia, we dive into ownership dynamics, misaligned incentives, contracting challenges, and the business pressures that shape consulting—along with practical stories from the field about what really works. The Cobbler's Shoes Problem "I come back to the office from this workshop, and suddenly, with these eyes on looking for improvements in process, I just suddenly am hit by this revelation of why things are so slow here? Why are we working so inefficiently?" Jakob describes the striking paradox many consultancies face: they excel at helping clients improve their processes while their own internal operations remain inefficient. This "shoemaker's children" phenomenon reflects a fundamental challenge in consulting—the difficulty of investing in your own improvements when all energy flows toward billable client work. Digital agencies often have outdated or poorly implemented websites despite building sophisticated solutions for others, illustrating how consultancies struggle to apply their own expertise internally. Misaligned Incentives Create Antagonistic Dynamics "It's almost as if the clients are actually paying us to be slow, because our incentive is to spend more time on achieving what the client wants, because we get paid by the hour." The incentive structures in consulting create inherent conflicts that don't exist in product companies. Consultants typically bill by the hour, creating a perverse incentive to spend more time rather than deliver efficiently. Meanwhile, clients pursue business outcomes and want results as quickly and cheaply as possible. This fundamental misalignment leads to: Clients adopting a procurement mindset, treating software development like ordering from a catalog A "wall" between stakeholders and development teams that's even stronger than in product companies Antagonistic relationships where scope changes feel like financial traps rather than necessary learning Contracting processes that reinforce waterfall thinking even when both parties claim to want agility Wilko emphasizes that contracting has a huge impact on these dynamics, and companies must deliberately change their engagement models to break free from these patterns. The Budgeting Trap and Specification Overload "Because of this budgeting process where you now need to motivate what this budget does, or you need to spend that budget, you essentially create this necessity to define everything." Consulting projects often suffer from the same problem that plagued waterfall development: annual budgeting cycles that force stakeholders to cram everything into a single specification. When there's only one chance per year to secure funding, everyone stuffs the requirements document with every conceivable feature, leading to: Massive specifications that attempt to predict all needs upfront Endless discovery meetings and documentation that add cost without improving outcomes Developers working from outdated assumptions with delayed feedback Clients who don't really know what they want but feel pressured to specify everything Jakob points out the frustration that "we've already fixed this problem" in product development through iterative approaches, yet it keeps reappearing in consulting because of the separation between entities. Ownership and Quality in Consulting Environments "Skilled engineers will be frustrated if they're not allowed to do a proper job. People that have spent a lot of time in an environment where they're never allowed to do a proper job, or maybe even punished for doing a proper job, they will have given up, and not care." The difference in ownership between product and consulting development profoundly affects how engineers think about quality, technical debt, and long-term design. In product companies, developers know they'll maintain their code, creating natural incentives for quality. In consulting, the transient nature of engagements can erode quality standards. Key challenges include: Engineers knowing they won't return to the codebase, reducing long-term thinking Clients who lack technical expertise dictating approaches they don't understand Pressure to complete fixed-scope contracts regardless of quality trade-offs The role of estimates in forcing teams to "just complete this thing" even when learning suggests changes Wilko notes that teams controlled by clients versus teams managed as stable units by the consultancy show markedly different levels of ownership and engagement. Engineers want to do great work, but without real-world feedback loops, they may either overengineer based on theoretical ideals or give up on quality entirely. Breaking the Cycle: Going Live in Two Weeks "We said to them, what if we try to actually go live in a single sprint, which in most companies is 2 weeks. And they were like, nah, we're not so sure. And we said, don't worry, you're going to get everything you want in your scope by the end. But just let's try these first 2 weeks." Wilko shares a transformative story about an e-commerce project where his team convinced a client to abandon their two-year roadmap and instead focus on going live with something—anything—in two weeks. The goal: enable one existing customer to place one order for one product they already knew. This constraint forced radical prioritization. The team didn't need images, extensive product catalogs, or elaborate descriptions. They delivered a minimal but functioning system, and the results were revelatory: The client's internal discussion shifted from "we need everything" to "what should we prioritize next?" Real customer interaction revealed unexpected problems, like internal incentive conflicts where salespeople wouldn't direct customers to the website because it threatened their commissions Senior leadership embraced the iterative approach more readily than middle management The faster feedback cycle enabled genuine agility even in a consulting context This story demonstrates that iterative approaches are more likely to lead to success in consulting, and that senior leadership is often more receptive to faster feedback cycles than people expect. The key is changing the dynamic from "deliver a complete spec" to "let's go live quickly and learn." AI as a Game-Changer for Consulting Dynamics "The groundbreaking thing that's happening right now is AI, and it really feeds into this direction. Because instead of speaking, you can actually be building, you can see things, you can do stuff that you can really test in a much more real way than you could just a few years ago." Both Jakob and Wilko see artificial intelligence as a potential solution to many consulting challenges. AI tools enable rapid prototyping and visualization, allowing teams to show rather than tell. This addresses the fundamental problem that clients don't know what they want until they see it, by dramatically reducing the cost of creating tangible demonstrations that generate meaningful feedback. If you want to know more about how AI is reshaping programming, check out our AI Assisted Coding series of episodes.  Quality and Testing Should Not Be Negotiable "I just simply think it shouldn't be a choice. We have to be very firm on this is how we work. We are the experts you are paying us." When clients ask to skip testing, reduce code reviews, or cut corners on infrastructure, Jakob argues consultancies must stand firm. Quality practices shouldn't be line items that clients can negotiate away. One consulting company that works strictly with Extreme Programming principles demonstrates this approach—they don't explain every detail to clients, but they clearly establish that "this is how we do all our projects. It's not a choice." Wilko adds that testing often saves time rather than adding cost, serving as a development tool that eliminates repetitive manual verification. The challenge comes during estimation, where padding for testing can make consultancies less competitive, creating pressure to compromise on quality. Jakob emphasizes that some responsibility lies with consultancies themselves, which sometimes over-promise and underbid to win business, then struggle to deliver quality within unrealistic constraints. This "race to the bottom" hurts the entire industry. The Path Forward: Deliberate Collaboration "It is fixable in a consultancy setting as well. I've seen it. I've been part of it. But you have to be very deliberate in your collaboration with the customer." Success in consulting requires deliberately designing the engagement model to support iterative development: Working backward from customer needs, not forward from specifications Establishing short feedback loops with both client stakeholders and end users Creating stable teams rather than assembling ad-hoc groups based on client requests Changing contracting models to align incentives (as explored in Sven Ditz's article in the Global Agile Summit book on delivering incrementally) Being firm about quality practices while remaining flexible about features Using AI and rapid prototyping to generate early, concrete feedback The consulting model doesn't have to default to waterfall, but it requires conscious effort to overcome the structural forces pushing in that direction. Recommended Reading In this episode, we refer to multiple resources for further reading. Here's a list of those resources:  Secrets of Consulting by Gerald Weinberg The Global Agile Summit book, including articles by the speakers at the conference Real World Agility by Daniel Gullo The #NoEstimates book by Vasco Duarte Extreme Programming principles About Jakob Wolman and Wilko Nienhaus Jakob Wolman is an experienced engineering leader who knows how to build great software, and how to mess it up. He has worked in both product companies and consulting environments, giving him unique insight into the contrasts between these models. You can connect with Jakob Wolman on LinkedIn. Wilko Nienhaus is CTO of Vaimo, a consulting company in Estonia, where he focuses on the challenges of delivering software in a consulting environment. He concentrates on delivery mechanisms and technical solutions for challenging projects. You can connect with Wilko Nienhaus on LinkedIn.

Blaise Agüera y Arcas's talk took us on a journey through What is Intelligence?, his groundbreaking new work connecting the evolutionary dots between life, computation, and symbiogenesis. He explores how, in our symbiotic world, things combine to make larger things all the time. We might think of humanity in terms of the individual — but we're already part of everything we're creating, which is in turn co-creating us. In the story of technology and humanity, are we distinct from the technologies that we make? Agüera y Arcas' cuts through the essentialist dogma with a functionalist view: Biological computing — computation through DNA, RNA, and proteins — is not a strange outcropping of life but its very nature. Blaise Agüera y Arcas is a VP and Fellow at Google, where he is the CTO of Technology & Society and founder of Paradigms of Intelligence (Pi). Pi is an organization working on basic research in AI and related fields, especially the foundations of neural computing, active inference, sociality, evolution, and artificial life. During his tenure at Google, Blaise has innovated on-device machine learning for Android and Pixel; invented Federated Learning, an approach to decentralized model training that avoids sharing private data; and founded the Artists + Machine Intelligence program.

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

Are you ready for commerce without websites? In this Omni Talk Expert Series conversation, hosts Chris Walton and Anne Mezzenga sit down with Jon Cleaver (CTO, Sportshoes.com) and Malte Ubl (CTO, Vercel) to explore how composable architecture and AI are reshaping retail's future. Jon shares the inside story of Sportshoes.com's aggressive 7-month website transformation... moving from a frustrating monolithic system to a flexible, composable stack. Malte reveals how modern infrastructure makes it possible to scale from zero to 100,000 compute instances instantly, and why retailers must think API-first to survive the agentic commerce revolution. Key topics covered: • Why composable commerce beats monolithic systems for AI readiness • How to transform your website in 7 months (and keep your job) • The real cost of AI in retail and how to manage it • Why your website won't disappear... but how customers will use it will • Starting your agentic AI experiments with logged-in customers • The critical role of product data enrichment for AI discovery Whether you're a CTO evaluating your tech stack or a merchant trying to understand where retail is heading, this conversation delivers practical insights you can act on today. #RetailTech #ComposableCommerce #AgenticAI #Ecommerce #RetailInnovation #APIFirst #DigitalTransformation

  “(I recognized that)… having machines see stuff could now be more lucrative… I started to think about trash as an underappreciated problem.” Matanya Horowitz, Founder & CTO, AMP  

What happens when a telehealth CTO takes AI beyond code generation and into the heart of the software development lifecycle?Matt Buckleman, Co-founder and CTO of Hone Health, joins to share how his team uses AI not just to accelerate development, but to rethink workflows—from documentation and traceability to sentiment analysis across teams. This episode dives deep into how he's blending engineering fundamentals with modern AI agents to create a smarter, more adaptive SDLC.Key Takeaways• Why AI's biggest near-term value isn't in code generation—it's in improving process and communication.• How Hone Health evolved its SDLC from three engineers on Slack to a 30+ person organization using agent-based automation.• The hidden advantage of consistent naming conventions and traceability when applying AI to production systems.• How AI can automate the “soft” but essential parts of software delivery, like documentation, requirements gathering, and developer sentiment tracking.• What it takes to create feedback loops that make AI genuinely useful inside technical workflows.Timestamped Highlights[02:09] Flexible, anti-dogmatic SDLC: why strict process frameworks can slow learning.[09:00] When more engineers doesn't equal more output—the hidden cost of coordination.[13:00] AI for experts vs. juniors: why prompting mirrors domain mastery.[18:38] Offloading the unglamorous work: how LLMs now handle code comments, documentation, and swagger generation.[23:50] Shared ownership and experimentation: how Hone's engineering team pilots new AI tools.[28:40] Turning meeting transcripts into smarter requirements: how agents refine specs automatically.[32:00] Using sentiment analysis to spot risk and burnout across engineering projects.Memorable Line“LLMs are great at patterns in text—and that makes them better than people at understanding what's really happening inside your workflow.”Call to ActionIf you enjoyed this conversation, follow The Tech Trek on Spotify or Apple Podcasts for more real-world discussions at the intersection of AI, engineering, and leadership. Share this episode with a teammate rethinking their own SDLC.

Aydin and Kieran Klaassen (Cora) unpack Compound Engineering—treating every task as an investment so the next time is faster. Kieran shares his path from film composer to startup CTO and live-demos how he plans → prototypes → ships a feature using AI agents (Claude Code), then runs multi-agent reviews. They discuss why managers are primed to orchestrate agents, how to capture your own feedback patterns, and why there's “no excuse not to have a prototype” anymore.Timestamps0:07 — “Every piece of work should be an investment.”2:15 — What Cora is: an AI Gmail layer that auto-archives ~80% and briefs you twice daily.3:32 — Launch notes & early user reactions.5:21 — The Claude Code pricing saga and “finding the limits.”8:06 — Compound Engineering defined (codify how you work so AI does it next time).15:01 — From “automation” to pattern-capturing systems; natural-language rules over brittle workflows. 22:03 — Demo kickoff: planning the “Invite friends” improvement inside Cora.26:11 — Rapid mockups from a screenshot + voice description; iterate in seconds.33:06 — Multi-agent planning: repo research, best-practices scout, framework researcher.41:01 — Human judgment on plans; simplify when encryption/perf add hidden complexity.50:00 — Feature running end-to-end; agentic PR + test flow; sub-agent code reviews.Tools & Technologies MentionedCora — AI inbox copilot for Gmail that prioritizes, summarizes, and drafts replies; batches the rest into twice-daily briefs.Claude Code (Anthropic) — Agentic coding/terminal assistant used for planning, building, and reviews.Monologue — Voice-to-text for quickly describing UI and generating mockups.Every.to — Partner/design/content hub Kieran collaborates with; also publishes his writing on Compound Engineering.GitHub + GitHub CLI — Issues, branches, PRs automated by agents from plan → code → review.VS Code (with Claude Code extension) — IDE setup for hands-on edits when needed.Anthropic Console Prompt Generator — Used to scaffold robust prompts/agents, then refined manually.Model mix for reviews (e.g., “GPT-5 Codecs,” “Claude Opus”) — Alternative model passes for plan/code critique.Fellow.ai — Aydin's AI meeting assistant for accurate notes, actions, and privacy-aware summaries.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

How we build products, why we build them, and what we think they're for have always changed, but these days developers and engineers who love things like product roadmaps might find the current AI scene a little disorienting. That's because there often isn't a roadmap. If there is? It's constantly changing.This week, we meet the CTO of IBM Research and she tells us about the current landscape and what she imagines for the future. This episode was recorded at TEDAI in Vienna, Austria. We Meet:  IBM Research CTO Anna Topol Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens, and special thanks to Dajana Doskoc and Alina Nikoloau at TEDAI Vienna. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

Yosi Dediashvili-Drossos, Co-Founder and CTO of City Hive, joins Amir to unpack how a hyper-focused approach helped transform a niche idea into the dominant e-commerce platform for the liquor industry. From bootstrapping into a complex, highly regulated space to giving small brands a voice, Yosi shares how City Hive built the connective tissue across the entire alcohol supply chain—bridging brands, distributors, and local retailers through data, trust, and mission-driven execution.Key Takeaways• Why narrowing your focus often creates more growth than going broad• How City Hive turned regulatory complexity into a competitive advantage• The power of connecting all layers of an industry—brands, distributors, and retailers—through one platform• Why small, single-SKU brands now have a real chance to compete• What founders need to know before tackling a regulated industryTimestamped Highlights00:36 – The origin story: building an e-commerce engine for liquor stores04:00 – When niche focus becomes a gateway to full-scale growth06:49 – Why the liquor supply chain is one of the most fragmented in the U.S.10:22 – The uphill battle for small brands trying to reach consumers12:16 – Empowering micro-brands through digital visibility and data16:42 – How narrowing your scope can actually open new opportunities19:48 – Lessons from scaling in a regulated market22:49 – Yosi's advice for founders navigating complex industriesStandout Moment“You can't solve everything at once. Focus on the next real problem that's in front of you—if you do that well, you'll eventually build something that can solve the bigger picture.”Pro TipsFor founders entering regulated markets: Don't start by trying to fix the system. Start by understanding one piece of it deeply enough that you can actually move it forward.Call to ActionIf you enjoyed this episode, follow The Tech Trek for more conversations with founders building technology that powers real-world industries. Share this episode with someone tackling a complex market—there's a lot they'll take away.

How can AI transform the future of smart cities to create a more efficient, sustainable, and inclusive urban environment for citizens? Antibes, a city on the French Riviera, is leading the way in its AI-driven innovation to enhance public services and operational efficiency.  From automating budget alignment with sustainability goals to running on-premise AI for data privacy, Antibes is redefining digital transformation in the public sector. Tune in as experts explore how technology is driving ethical, citizen-focused innovation across government services.  Featured experts Patrick Duverger, CIO and CTO, City of AntibesMichael Bradshaw, SVP & Global Practice Leader, Applications, Data, and AI, Kyndryl

We've entered what I call The Friction Era—a period where every organization, from the fastest-growing startup to the most entrenched enterprise, is advancing so rapidly that the internal systems meant to support growth are straining under their own ambition. Mergers, acquisitions, product expansions, tech integrations, AI disruption, competitive parity—all of it is hitting at once. And yet, none of it signals failure. Quite the opposite. It signals acceleration.But acceleration brings turbulence. And when the temperature inside an organization rises—not because things are breaking, but because the stakes are higher—you learn quickly who your real operators are. The CHRO, the CFO, and the CTO become the three anchors in the storm. They are the triad balancing the organization's emotional intelligence, financial discipline, and technological infrastructure. And if they're not in sync, the company drifts into chaos, no matter how strong the product or how brilliant the strategy.In this episode, we go behind the scenes into how these three executives navigate what most companies never talk about publicly—the fragile, high-stakes process of scaling without losing the core of what made the business great.We'll unpack:How CHROs are redefining their role from HR operator to cultural engineer—embedding trust, energy, and clarity into the revenue architecture itself, not just engagement programs.How CFOs are reframing financial discipline not as constraint, but as a creative tool to shape psychological safety, focus, and long-term decision-making velocity.How CTOs are engineering unification—breaking down redundant systems, harmonizing data, and turning technology stacks into living frameworks that guide behavior, not just performance.We'll also dive into what happens when growth gets ahead of structure: when a company's narrative outpaces its people systems, when speed starts to erode judgment, and when competing incentives fracture collaboration between sales, product, and finance. Because at that point, it's not just about “alignment”—it's about survival through sophistication.The most forward-thinking executives know that emotional discipline is operational discipline. They know that culture without commercial intent is theater—and that commercial intent without culture is chaos. So this conversation is about what it takes to build the internal architecture of a billion-dollar organization before you actually reach a billion.This is a raw, unfiltered look at the modern enterprise from the inside out. A masterclass in executive endurance, systemic awareness, and the courage to build stability inside complexity.Core Question: When your organization is in motion—growing, merging, integrating, evolving—how do you maintain the psychological precision, financial rigor, and operational unity to keep the whole thing from tearing apart at the seams?

In today's crowded SaaS market, having a great product simply isn't enough. understanding why human psychology still wins in B2B SaaS sales is very crucial. Many companies generate significant interest, such as leads, web traffic, or downloads, but still struggle to convert that attention into reliable revenue. The real issue isn't a lack of data; it's a misunderstanding of how B2B buyers actually make decisions.In this episode of Grow Your B2B SaaS, Joran Hofman hosts Jessica Pely, co-founder of Loyee.ai and former fintech CTO, to discuss why great products alone do not win in SaaS. Jessica emphasizes the need to align go-to-market strategies with real buyer behavior. Her approach combines behavioral science, data, and AI and delivers a clear takeaway: sustainable growth comes from better targeting based on behavioral signals and executing with focus.Key Timecodes(0:00) – Cold Open: Signals vs. Noise in Go-To-Market, Sales Overconfidence in B2B SaaS(0:49) – Guest Intro: Jessica Pely – LOI AI, Behavioral Economics Meets SaaS(1:30) – Origin Prompt: Behavioral Targeting in SaaS Sales(1:43) – PhD to CTO: Rational Biases & Enterprise Sales Strategy(2:58) – Founding LOI AI: Identifying Pain-Driven Accounts & Buyers(3:13) – Conversion Struggles: Interest ≠ Paying Customers in SaaS(3:38) – Targeting Models: Spray-and-Pray vs. Signal-Based Go-To-Market(4:56) – Chasing Logos: How Social Bias Derails SaaS Sales Focus(5:05) – Psychology in B2B Sales: Biases from Both Sides of the Table(5:21) – Buyer Biases: Status Quo, Risk Aversion, Loss Aversion(6:50) – Adoption Dynamics: Early Adopters vs. Most-in-Pain Accounts(8:23) – Sales Overconfidence: Deal Cycles, Forecasting & Coaching(8:30) – Sponsor Break: SaaStock Dublin – Founders, VCs, Meetings(9:39) – AI in Sales: Misconceptions & The Human Element(9:58) – 3 AI Use Cases: Automation, Insights, Autonomous Decisioning(11:17) – AI as R&D: Hire AI Like a Junior, Align with GTM(12:54) – Garbage In, Garbage Out: Build Your Sales Knowledge Base(13:43) – ICP vs. TAM: Best-Fit Profiles & Signal-Based Markets(15:15) – Customer First: Twin Companies & Lookalike Targeting(16:02) – Competitor Displacement: Migration Targeting via Pain Points(16:47) – Too-Broad Signals: Salesforce ≠ Clear Jobs-To-Be-Done(17:37) – JTBD + Job Ads: Scraping for AE Needs & Verification Pain(19:27) – Early-Stage Focus: Iterate, Learn, Focus on Fit(21:00) – AI for ICP Scoring: Cut Through Noise with Fit + Pain(22:38) – Qualitative Signals: Culture, Pricing, Sales Motions & ML(23:48) – Operating Rhythm: Reassess ICP Quarterly(24:29) – More Data Isn't Better: Limit GTM Signals to 10–15(25:45) – Human vs. AI Outbound: 2x2 Matrix for Outreach Strategy(28:33) – Growth Principle: Focus Over More – Execute Deeply(29:01) – Future of SaaS Sales: Automation + Human Differentiation(30:02) – Stage-Based GTM: Scaling from 0 → $10M ARR(31:24) – Document Everything: Train AI, Onboard Faster

In this podcast, Vishal Iyengar, Principal at Deloitte, and Mike Stimpson, CTO at enGen, discuss the strategic value that AI Agents can unlock to transform healthcare outcomes, operations, and stakeholder experience. They explore the practical use of Agents to answer foundational questions and address requests for information from members and providers that routinely cause abrasion, confusion, and administrative overhead. Vishal and Mike also highlight what is needed for these Agentic solutions to be deployed and adopted for organizations to achieve the expected results – data integrity, cyber security, governance and compliance, and targeted talent. In this episode, they talk about:How AI has grown from traditional machine learning to GenAI to today's Agentic capabilitiesA simple 3-layer setup: domain agents (specialists), reasoning agents (the organizer), and an enterprise model (the professor)Real-life use cases, like “Is this service covered?” or “Why was my claim denied?”What enGen focuses on to succeed: fresh thinking, outside perspectives, curiosity, a willingness to rebuild, and the right teamenGen's vision is transforming healthcare by supporting members on their whole health journey and creating seamless experiencesSmarter data with AI-enabled APIs that make information easy to use across different needsWhy speed matters but not at the cost of security and trustA Little About Vishal and Mike:Vishal brings over 2 decades of technology and business transformation experience in the Health Care industry. He specializes in the infusion and adoption of new-age technologies into today's complex ecosystem that enables Payers and Providers to manage, deliver, and reimburse for care. Most recently, he has focused on real-world use of AI to augment technologists, operators, and business experts to meaningfully change how Health Care systems support their stakeholders. Mike comes to enGen with over 25 years of experience in technology and operations within both the health care and financial services industries. For the past 20 years, he consulted with health care organizations in transforming their businesses through technology-enabled solutions and large-scale business transformations specifically focused in core administration and service transformation . Mike leads enGen's person-centric solutions focused on digital, clinical and provider transformation that puts the member and patient at the center of their healthcare journey.

LLMs at Scale: Infrastructure That Keeps AI Safe, Smart & Affordable // MLOps Podcast #341 with Marco Palladino, Kong's Co-Founder and CTO.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractWhile conversations around AI regulations continue to evolve, the responsibility for AI continues to be with developers. In this episode, Marco Palladino, CTO and co-founder of Kong Inc., explores what it means to build and scale AI responsibly when the rulebook is still being written. He explains that infrastructure should be the frontline defense for enforcing governance, security, and reliability in AI deployments. Marco shares how Kong's technologies, including AI Gateway and AI Manager, help organizations rein in shadow AI, reduce LLM hallucinations, improve observability, and act as the foundation for agentic workflows.// BioMarco Palladino is an inventor, software developer, and internet entrepreneur. As the CTO and co-founder of Kong, he is Kong's co-author, responsible for the design and delivery of the company's products, while also providing technical thought leadership around APIs and microservices within both Kong and the external software community. Prior to Kong, Marco co-founded Mashape in 2010, which became the largest API marketplace and was acquired by RapidAPI in 2017. // Related LinksWebsite: https://konghq.com/ https://www.youtube.com/watch?v=odpPVeQZjHU https://www.thestack.technology/the-big-interview-kong-cto-marco-palladino/ ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Marco on LinkedIn: /marcopalladino/Timestamps:[00:00] Agent-mediated interactions shift[01:17] Kong connectivity and agents[04:36] Transcript cleanup request[08:11] MCP server use cases[12:37] Agent world possibilities [15:55] Business communication evolution[18:55] System optimization[25:36] AI gateway patterns[31:30] Investment decision making[35:54] Building conviction process[41:34] Polished customer conversation[46:37] AI gateway R&D future[50:52] Wrap up

Vijay Ravindran joins The Great Battlefield podcast to talk about his career in tech, being the founding CTO of Catalist (the longest running data trust in progressive politics) and founding Floreo, a firm that brings VR tools to help neurodiverse learners.

Technology is moving faster than it ever has, so how do you actually scale? Today, we're talking to Robert Duffy, CTO at HealthEdge. We discuss how AI is changing traditional scaling strategies, why rapidly bootstrapping trust is crucial in merged organizations, and how assuming positive intent can transform leadership and team dynamics. All of this right here, right now, on the Modern CTO Podcast!  To learn more about HealthEdge, check out their website here.

Александр Зинченко, CTO Яндекс 360, в гостях у Андрея Смирнова из Weekend Talk. Конференция avito.tech.conf | leads&managers – https://clc.to/44ybKw Телеграм-канал Андрея Смирнова – https://t.me/itsmirnov 00:00 Начало 00:35 Чем можешь быть известен моей аудитории? 01:13 Рекламная пауза 02:27 Что стало поворотным моментом, когда ты решил уйти с завода в IT? 10:52 Куда можно расти, если ты уже стал CTO? 16:55 Почему визуальные метафоры и рисунки так хорошо работают в IT-командах? 22:55 Кем бы ты стал, если бы не было IT-сферы? 28:24 Для чего нужен был личный бренд, когда ты писал статьи на Хабре? 34:54 В чём сейчас главная проблема современного IT? Ссылки по теме: 1) Статья про разработку игр на Svelte – https://habr.com/p/726462/ 2) Выступление про сторителлинг с помощью рисунков – https://youtu.be/sgo2REZZKBU

A economia digital requer que plataformas de mobilidade, pagamentos, superapps, varejo, cidades, etc operem em tempo real com alto desempenho e segurança. Redes de alta performance são fundamentais para garantir tais operações escaláveis e eficientes em diversos setores de negócios, especialmente com o aumento das demandas de processamento impulsionadas por inteligência artificial. É crucial que essas redes cumpram rígidos padrões de funcionamento ponta a ponta, já que isso vem moldando a competitividade futura do mercado. O Start Eldorado desta semana mostra a segunda parte do debate gravado em mais um evento da série 'Conexões', realizado na Japan House, e que reuniu executivos que discutiram a relevância das redes para o desenvolvimento de produtos e serviços inteligentes, essenciais para a economia moderna. O painel contou com a participação de Carlo Gonçalves, founder e COO da Greenpass e VP da Abepam (Associação Brasileira das Empresas de Pagamento Automático para Mobilidade); Daniel Elidio, vice-presidente de Tecnologia da Fiserv no Brasil; Renier Souza, CTO da Cisco Brasil; e Roberto Murakami, vice‑presidente de Redes e Telecom da NEC América Latina. Com apresentação de Daniel Gonzales, o Start vai ao ar às 21h, na Rádio Eldorado FM 107,3 (para toda Grande SP), site, apps, canais digitais e assistentes de voz.See omnystudio.com/listener for privacy information.

What happens when a CTO and a CIO of a global tech company sit down together to talk about AI? That's the starting point of today's episode, where I'm joined by Jeremy Ung, CTO at Blackline, and Sumit Johar, the company's CIO. Rather than chasing the hype, we focus on what AI really means for executive decision making, governance, and business outcomes. Both leaders open up about how their partnership is blurring the traditional lines between product and IT, and why the board is demanding answers on topics that once sat deep in the technology stack. Jeremy and Sumit explain why AI is not just another SaaS subscription and why expectations have changed so dramatically. For decades, technology was seen as predictable, a rules-based engine that followed instructions without error. AI feels different because it speaks, reasons, and sometimes makes mistakes. That human-like experience is what excites employees, but it is also what unsettles them. This is where education and governance come in, helping teams learn how to question, verify, and trace AI outputs before they make critical decisions. We also explore how AI agents are beginning to work across tools like SharePoint and email, raising new compliance and security questions that CIOs and CTOs must answer together. The conversation turns to AI sprawl, a problem that mirrors the SaaS explosion of a decade ago. With new AI tools emerging every week, enterprises risk overlapping investments and fragmented initiatives. Sumit shares how Blackline uses two governance councils to keep projects aligned. One is dedicated to risk, pulling in voices from legal, security, and privacy. The other is focused on transformation, evaluating whether requests for new AI capabilities make sense, or whether they duplicate what already exists. The signal that sprawl is taking root, he says, is when requests for tools suddenly jump from a few each month to a dozen. We also tackle the build versus buy dilemma. Budgets haven't magically increased just because AI is hot. Jeremy argues that building only makes sense when it reinforces a company's core advantage. Everything else should be bought, integrated, and kept flexible so that organizations can pivot as the AI landscape changes. Both leaders stress that trust, auditability, and value delivery must sit at the center of every investment decision.  

Zeta Global's CTO, Chris Monberg talks about building AI that helps brands grow with repeatable, scalable programs without losing the spark that makes a brand feel human. Zeta's promise is simple to say and hard to do. Help marketers deliver better results with less waste by pairing strong data, clear identity, and practical AI inside the Zeta Marketing Platform. What stood out first was Chris's view of design as a contact sport. He hires builders who live in the work, and he still enjoys rolling up his sleeves himself. That mindset shows up in how Zeta approaches AI for marketing. Rather than shouting for the next click, he wants systems that perceive intent and context. He described an early lesson from retail floors in Seattle. The best experience came from people who noticed a customer's posture and pace before speaking.  Empathetic design translates that awareness into algorithms that understand latent signals and respond with care, not noise. We also dug into a tension many leaders feel. Automation is exciting, but nobody wants generic content. Chris answered with a practical frame. Give marketers a way to create a personal “super agent” that learns from their choices, their brand voice, and the paths they take through the platform. Offload the repetitive chores, keep creative control, and grow pride of ownership. That pride matters because it breeds adoption. When teams feel the system reflects them, they keep using it and keep improving it. Another thread was trust. In Chris's words, the market still underestimates what these tools can do, partly because users are unsure where the value comes from. Zeta is leaning into transparency so teams can see how decisions are made and how results tie back to their inputs. Data and identity are the moat, but privacy and compliance are the foundation. He was candid about the weekly grind of meeting new regulatory needs region by region. That operational discipline shapes how Zeta decides to build, buy, or partner. Acquisitions must make sense on day one and integrate fast, with people as the primary asset. Chris also spoke directly to younger builders who feel stuck. There are no shortcuts. The only way through is work, curiosity, and a willingness to learn in public. He sees small teams pushing new protocols and patterns forward, and he wants more marketers and technologists to join that frontier with clear eyes and a bias for doing. We closed on culture. Zeta Live in New York brings sports and tech onto the same stage, and there is a reason. When the wider world pays attention, ideas travel further. If you care about marketing that respects customers and still moves the needle, this episode will give you a practical blueprint. It is about AI that makes room for people, systems that earn trust, and a product leader who still enjoys getting a little grease under his nails.

Praveen Ghanta, founder of Fraction and former CEO of HiddenLevers, shares how he turned his experience scaling a bootstrapped SaaS company into a fast-growing fractional talent marketplace. After HiddenLevers reached $8M in ARR and sold for over $100M, he realized that senior fractional engineers were the secret to delivering efficiently without expensive full-time hires. Fraction now serves over 100 SaaS clients with a vetted pool of 500 senior U.S.-based engineers and CTOs. Typical engagements run 10–30 hours a week, helping founders tackle scaling challenges in vertical SaaS, AI engineering, DevOps, and legacy system conversions. The company has reached $10M ARR in just three years while keeping half its own team fractional. Praveen explains how clients use Fraction to save costs, speed development, and even prepare for M&A due diligence with fractional CTOs. He also highlights how AI has boosted senior developer productivity by 4x, why U.S.-only context matters, and how fractional-to-full-time hiring often becomes a win-win path. This interview is perfect for SaaS founders at $1M–10M ARR, hitting scaling issues, vertical SaaS leaders needing senior engineers without VC funding, and founders considering AI-powered product features and engineering talent. Key Takeaways Fractional Individual Contributors: Not just execs—senior engineers deliver hands-on code, marketing, and DevOps part-time. AI Productivity Boost: Senior developers using AI tools are delivering 2–4x more than peers without them. Cost Advantage: Starting at $5K/month, founders access senior dev talent without $200K+ full-time salaries. Best ICP Fit: Vertical SaaS companies at $1–10M ARR facing scaling issues or legacy migrations. Developer Productivity: Fraction leveraged its experience with over 100 clients to build DevHawk.ai, a tool that manages fractional talent and delivers results even more efficiently. This Interview Is Perfect For SaaS founders stuck at scaling challenges without a budget for big teams Bootstrappers and practical founders looking for senior engineering firepower Founders facing legacy code, scaling issues, or AI feature rollouts Non-technical founders struggling to manage offshore or junior dev teams Quote from Praveen Ghanta, founder of Fraction “There are a lot of very experienced engineers who get into a senior developer role, but if they're not going to become the manager of the team, there's not a really good and obvious career path for them. “They start to get bored because they know their job inside and out and it's relatively easy for them to keep delivering.  “So working on a startup on the side is actually a way for both for them to sort of enrich their career and see new things and have that creative satisfaction, but at the same time, not take the risk. There are plenty of folks that want to be full-time at the startup, but there's risk in being at a startup.”  Links Praveen Ghanta on LinkedIn Fraction on LinkedIn Fraction website (fraction.work) DevHawk website Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Send us a textIn this episode, Matt Brown sits with Douglas Chrystall, Co-founder and CTO of TruVideo, to explore how enterprise video delivers real transparency in complex workflows. Douglas explains how TruVideo dominated automotive service before expanding into heavy trucking and marine, why fitting natively into daily operations beats any feature checklist, and how the team uses AI to produce accurate translations and turn video into structured data that proves process compliance. They dig into prompt craft, combating hallucinations, training on first-party media at scale, and the difference between skinning an LLM and building domain-native capability. They also touch on personal AI use, skepticism around .ai branding, and whether agents will disrupt aggregators and change the role of websites.Support the show

It's YOUR time to #EdUpIn this episode, part of our Academic Integrity Series, sponsored by ⁠Pangram Labs,⁠YOUR guests are Dr. Joseph F. Brown, Director, Academic Integrity Program, The Institute for Learning & Teaching, & Dr. Sarah Gutierrez, Assistant Director for Student Conduct Services, The Student Resolution Center, Colorado State UniversityYOUR cohost is ⁠Bradley Emi , ⁠Cofounder & CTO, ⁠Pangram Labs⁠YOUR host is ⁠Elvin Freytes⁠How does redefining academic integrity as "authentic engagement with learning" change everything about how universities approach AI & student misconduct?What happens when time management at 2am becomes the #1 reason students cheat & how do you build proactive support systems instead of reactive punishment?How do you convince students their work has value when AI can produce "smarter-sounding" essays & why failure is actually essential for learning?Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want to get early, ad-free access & exclusive leadership content to help support the show? Then ⁠⁠​subscribe today​⁠⁠ to lock in YOUR $5.99/m lifetime supporters rate! This offer ends December 31, 2025!

On this episode of Screaming in the Cloud, Corey welcomes back Chris Weichel, CTO of Ona (formerly Gitpod). Chris explains the rebrand and why Ona is building for a future where coding agents, not just humans, write software.They discuss what changes when agents spin up environments, why multi-agent workflows feel addictive, and how Ona is solving the scaling and safety challenges behind it.If you're curious about the next wave of software engineering and how AI will reshape developer tools, this episode is for you.About Chris: Chris Weichel is the Chief Technology Officer at Ona (formerly Gitpod), where he leads the engineering team behind the company's cloud-native development platform. With more than two decades of experience spanning software engineering and human–computer interaction, Chris brings a rare combination of technical depth and user-centered perspective to the systems he helps design and build.He is passionate about creating technology that empowers people and tackling complex engineering challenges. His expertise in cloud-native architecture, programming, and digital fabrication has earned him multiple publications, patents, and industry awards. Chris is continually exploring new opportunities to apply his broad skill set and enthusiasm for building transformative technology in both commercial and research settings.Show Highlights(00:00) Introduction to Modern Software Interfaces(00:55) Welcome to Screaming in the Cloud(01:02) Introducing Chris Weichel and Ona(02:23) The Evolution from Git Pod to Ona(03:26) Challenges and Insights on Company Renaming(05:16) The Changing Landscape of Software Engineering(05:54) The Role of AI in Code Generation(12:04) The Importance of Development Environments(15:44) The Future of Software Development with Ona(21:31) Practical Applications and Challenges of AI Agents(30:01) The Economics of AI in Software Development(38:11) The Future Vision for Ona(39:41) Conclusion and Contact InformationLinks: Christian Weichel LinkedIn: https://www.linkedin.com/in/christian-weichel-740b4224/?originalSubdomain=deOna: https://ona.com/https://csweichel.de/Sponsor: Ona: https://ona.com/

More than four out of ten (41%) Chief Information Officers (CIOs) report cybersecurity as their top concern, yet these same leaders are simultaneously increasing security budgets (77%), expanding cloud infrastructure (68%), and accelerating artificial intelligence (AI) capabilities (67%). According to the new Future Forward: CIO 2025 Outlook report released by Experis, a global leader in IT workforce solutions and part of the ManpowerGroup (NYSE: MAN) family of brands, modern technology leaders are walking a tightrope between protecting their organizations and driving innovation in an era of relentless cyber threats and rapid digital transformation. Amanda Jack, CTO at Manpower Group, joins Business Security Weekly to share the finding, including: 77% of organizations plan to increase cybersecurity budgets in 2025, followed by cloud infrastructure (68%) and AI (67%) 76% of IT employers worldwide report difficulty finding skilled tech talent 52% of tech leaders are embedding AI skills into existing roles rather than creating new positions Relationship with the Chief Operating Officer (COO) is identified as the most important C-suite partnership outside IT 56% of IT leaders say senior leadership lacks sufficient knowledge about the CIO role and its responsibilities Segment Resources: https://www.experis.com/en/cio-outlook In the leadership and communications segment, Is Your Board Too Collegial?, Cybersecurity, AI, and Economic Uncertainty: How Internal Audit Teams Are Managing 2025's Top Risks, Burnout in the corporate middle: when leadership becomes an issue, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-415

In this episode, Jaeden speaks with Cory Ondrejka, CTO of Smart News, about the impact of AI on news delivery and consumption. They discuss the launch of NewsArc, an AI-powered news app designed to provide balanced and personalized news experiences. Ondrejka explains how the app differs from traditional news aggregators by focusing on quality journalism and avoiding sensationalism. The conversation also touches on the challenges of news consumption in a polarized environment and the importance of delivering accurate information. Ondrejka shares insights on personalization, the role of AI in enhancing news quality, and the future of news consumption.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleVisit NewsArc: https://www.newsarc.com/Chapters00:00 Introduction to AI in News02:40 The Role of AI in News Aggregation04:33 Exploring NewsArc's Unique Features08:04 Personalization and User Experience in NewsArc11:46 Balancing News Coverage and Political Polarization18:44 The Future of News Consumption26:04 Reflections on Competitors and Industry Challenges

Arkham transforma datos dispersos en una IA práctica para que tu equipo la use todos los días.

More than four out of ten (41%) Chief Information Officers (CIOs) report cybersecurity as their top concern, yet these same leaders are simultaneously increasing security budgets (77%), expanding cloud infrastructure (68%), and accelerating artificial intelligence (AI) capabilities (67%). According to the new Future Forward: CIO 2025 Outlook report released by Experis, a global leader in IT workforce solutions and part of the ManpowerGroup (NYSE: MAN) family of brands, modern technology leaders are walking a tightrope between protecting their organizations and driving innovation in an era of relentless cyber threats and rapid digital transformation. Amanda Jack, CTO at Manpower Group, joins Business Security Weekly to share the finding, including: 77% of organizations plan to increase cybersecurity budgets in 2025, followed by cloud infrastructure (68%) and AI (67%) 76% of IT employers worldwide report difficulty finding skilled tech talent 52% of tech leaders are embedding AI skills into existing roles rather than creating new positions Relationship with the Chief Operating Officer (COO) is identified as the most important C-suite partnership outside IT 56% of IT leaders say senior leadership lacks sufficient knowledge about the CIO role and its responsibilities Segment Resources: https://www.experis.com/en/cio-outlook In the leadership and communications segment, Is Your Board Too Collegial?, Cybersecurity, AI, and Economic Uncertainty: How Internal Audit Teams Are Managing 2025's Top Risks, Burnout in the corporate middle: when leadership becomes an issue, and more! Show Notes: https://securityweekly.com/bsw-415

The U.S. government remains shut down but President Trump says his administration will use the opportunity to save money in key areas. Markets remain sanguine with the Stoxx 600 and the S&P 500 recording all-time highs. In Copenhagen, European leaders back the introduction of drone walls to block increasing Russian incursions. The bloc falls short of agreeing to use frozen Russian assets to help with the reconstruction of Ukraine. OpenAI unveils its latest partnership with South Korea's Samsung and SK Hynix, sending both companies' shares soaring. Meanwhile, we are live at Italian Tech Week in Turin where the CTO of Microsoft, Kevin Scott, tells us OpenAI is key to his firm's future. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

More than four out of ten (41%) Chief Information Officers (CIOs) report cybersecurity as their top concern, yet these same leaders are simultaneously increasing security budgets (77%), expanding cloud infrastructure (68%), and accelerating artificial intelligence (AI) capabilities (67%). According to the new Future Forward: CIO 2025 Outlook report released by Experis, a global leader in IT workforce solutions and part of the ManpowerGroup (NYSE: MAN) family of brands, modern technology leaders are walking a tightrope between protecting their organizations and driving innovation in an era of relentless cyber threats and rapid digital transformation. Amanda Jack, CTO at Manpower Group, joins Business Security Weekly to share the finding, including: 77% of organizations plan to increase cybersecurity budgets in 2025, followed by cloud infrastructure (68%) and AI (67%) 76% of IT employers worldwide report difficulty finding skilled tech talent 52% of tech leaders are embedding AI skills into existing roles rather than creating new positions Relationship with the Chief Operating Officer (COO) is identified as the most important C-suite partnership outside IT 56% of IT leaders say senior leadership lacks sufficient knowledge about the CIO role and its responsibilities Segment Resources: https://www.experis.com/en/cio-outlook In the leadership and communications segment, Is Your Board Too Collegial?, Cybersecurity, AI, and Economic Uncertainty: How Internal Audit Teams Are Managing 2025's Top Risks, Burnout in the corporate middle: when leadership becomes an issue, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-415

Sure, some days you hate your job. But how do you know when an IT position has gone from being run-of-the-mill annoying to truly toxic? And what do you do about it? Johna Johnson and John Burke are joined by Sandy Miller, a pseudonym for a CIO at a major global company who talks about... Read more »

As CTO of Block, Dhanji Prasanna has overseen a dramatic enterprise AI transformation, with engineers saving 8-10 hours a week through AI automation. Block's open-source agent goose connects to existing enterprise tools through MCP, enabling everyone from engineers to sales teams to build custom applications without coding. Dhanji shares how Block reorganized from business unit silos to functional teams to accelerate AI adoption, why they chose to open-source their most valuable AI tool and why he believes swarms of smaller AI models will outperform monolithic LLMs. Hosted by: Sonya Huang and Roelof Botha, Sequoia Capital Mentioned in the episode: goose: Block's open-source, general-purpose AI agent used across the company to orchestrate workflows via tools and APIs.  Model Context Protocol (MCP): Open protocol (spearheaded by Anthropic) for connecting AI agents to tools; goose was an early adopter and helped shape. bitchat: Decentralized chat app written by Jack Dorsey Swarm intelligence: Research direction Dhanji highlights for AI's future where many agents (geese) collaborate to build complex software beyond a single-agent copilot. Travelling Salesman Problem: Classic optimization problem cited by Dhanji in the context of a non-technical user of goose solving a practical optimization task. Amara's Law: The idea, originated by futurist Roy Amara in 1978, that we overestimate tech impact short term and underestimate long term. 00:00 Introduction 01:48 AI: Friend or Foe? 03:13 Block's Journey with AI and Technology 04:47 Block's Diverse Product Range 07:04 Driving AI at Block 14:28 The Evolution of Goose 27:45 Integrating Goose with Existing Systems 28:23 Goose's Learning and Recipe Feature 29:41 Tool Use and LLM Providers 31:40 Impact of AI on Developer Productivity 34:37 Block's Commitment to Open Source 39:09 Future of AI and Swarm Intelligence 43:05 Remote Work at Block 45:15 Vibe Coding and AI in Development 48:43 Making Goose More Accessible 51:28 Generative AI in Customer-Facing Products 54:09 Design and Engineering at Block 55:38 Predictions for the Future of AI

As the federal government races to adopt AI, many agencies are looking to buy and build the same exact solutions. Recognizing this, the General Services Administration earlier this year launched USAi, a platform that offers agencies access to leading commercial AI models that they can deploy in a streamlined manner, eliminating redundancy across government and leading to greater efficiencies at scale. Zach Whitman, chief data scientist and chief AI officer for the GSA, recently joined me for a discussion at the Agentic AI Government Summit and Jamfest in Washington, D.C., to highlight the USAi effort, how it's progressing, the challenges GSA faces and what's next. The Department of Health and Human Services has tapped DOGE affiliate Zachary Terrell to be its chief technology officer, sources told FedScoop. Terrell's CTO title was confirmed by three officials, who were granted anonymity to be more candid. Taking on the role of CTO comes after his involvement in Department of Government Efficiency work at both HHS and the National Science Foundation, including the cancellation of grants at the science agency. One of those sources told FedScoop that Terrell has been in the technology chief role since the beginning of this month and is still at the NSF as well. While his leadership role is new, Terrell has previously been involved in work at HHS, including as a member of the department's DOGE team, according to a recent legal filing by the government. Per that document, Terrell was listed as one of the 10 team members given access to at least one sensitive system as part of the DOGE work. Specifically, Terrell was one of five team members who weren't directly employed by the U.S. DOGE Service — the White House home for the group. Congress is poised to make yet another run at legislation to reform agency software purchasing practices, with the reintroduction in the House last week of the Strengthening Agency Management and Oversight of Software Assets Act. The SAMOSA Act, which passed the House last December, would require federal agencies to comprehensively assess their software licensing practices, a move aimed at curbing duplicative tech, streamlining future purchases and reducing IT costs. Rep. Nancy Mace, R-S.C., chair of the House Oversight Subcommittee on Cybersecurity, Information Technology, and Government Innovation, said in a press release: “The GAO has found the federal government spends more than $100 billion annually on information technology and cybersecurity, including software licenses. Far too often, taxpayer dollars are wasted on these systems and licenses agencies fail to use.” The SAMOSA Act, Mace goes on to say, “requires agencies to account for existing software assets and consolidate purchases: reducing redundancy, increasing accountability, and saving potentially billions for American taxpayers.” Also in this episode: Salesforce Global Digital Transformation Executive Nadia Hansen joins SNG host Wyatt Kash in a sponsored podcast discussion on how Agentic AI is reshaping the way government teams work and why agencies need top-level sponsorship, transparent governance and workforce training to realize its potential. This segment was by sponsored by Salesforce. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Sure, some days you hate your job. But how do you know when an IT position has gone from being run-of-the-mill annoying to truly toxic? And what do you do about it? Johna Johnson and John Burke are joined by Sandy Miller, a pseudonym for a CIO at a major global company who talks about... Read more »

Rajeev Hans and Naresh Ram discuss the opportunities found at intersection of digital transformation and AI in manufacturing. Rajeev is CTO at AAXIS, a company at the forefront of helping manufacturers accelerate digital transformation. Naresh is Chief AI Officer; both are experts in modern eCommerce platforms, AI, and enterprise software. Listen as these thought-leaders explore leveraging data and AI to drive smarter, more connected manufacturing systems. Host, Kevin Craine Do you want to be a guest? https://DigitalTransformationPodast.net/guest Do you want to be a sponsor? https://DigitalTransformationPodcast.net/sponsor

What happens when a tech executive with a passion for flying gets the chance to combine both worlds? In this episode of Behind the Prop, hosts Bobby Doss and Wally Mulhearn welcome Barry Knuttila, President and CEO of King Schools, to explore that exact story.Barry recounts his early flying background, how a corporate collapse unexpectedly redirected his career, and the fateful moment he reached out to John and Martha King. That outreach led to a role as CTO during King Schools' transition to the internet era, eventually growing into leadership of the company itself. Along the way, Barry earned advanced ratings, flew Falcons with John and Martha, and became a familiar on-camera instructor.The discussion highlights King Schools' unique ethos—authenticity, humility, and an unwavering focus on student success. Barry explains how listening to customer feedback and treating students like friends has guided the company from the days of shipping VHS tapes to today's mobile-friendly apps, flashcards, and integrated flight school tools.Listeners will hear about how the flight training industry has shifted from primarily self-paced, individual learning to ab initio, career-focused programs. Barry shares how King Schools has responded by expanding its B2B offerings for universities and flight schools while continuing to serve individual learners. The conversation also covers innovations in course design, the importance of breaking training into smaller, more consumable segments, and King Schools' efforts to reduce checkride anxiety through immersive preparation courses.From personal reflections on flying helicopters and biplanes for fun to insights on the future of aviation training, Barry's perspective underscores both the timeless values and forward-looking vision that continue to shape King Schools. Whether you're a student pilot, CFI, or aviation enthusiast, this episode offers inspiration and practical wisdom for every stage of the journey.

Anthony Vinci, former CTO of the National Geospatial-Intelligence Agency and author of the upcoming book The Fourth Intelligence Revolution, joins as Second Breakfast's first ever guest. Outtro Music: Otis Redding, Something is Worrying Me https://www.youtube.com/watch?v=g2ughAT80R8 Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of the Identity at the Center podcast, hosts Jeff and Jim dive into the concept of device identity within a Zero Trust framework. They are joined by Shea McGrew, CTO of Maricopa County Arizona, who provides insights into the importance of managing not just human but also device identities. The discussion explores the philosophical debate on whether machines can have identities, Zero Trust principles, and their application in a diverse and semi-autonomous organizational structure like that of the county government. Shea also shares her career journey, emphasizing the importance of curiosity, customer service, and continuous learning in IT. The episode wraps up with a light-hearted conversation on the never-ending pursuit of knowledge.Connect with Shea: https://www.linkedin.com/in/shea-m-6b82a36/Timestamps:00:00 Introduction and Podcast Theme00:17 Defining Identity in Cybersecurity01:34 Debate: Can Non-Humans Have Identities?01:57 Guest Introduction: Shea McGrew04:15 Shea's Career Journey and Role as CTO09:28 Challenges and Rewards of Being a CTO11:41 Identity Strategy at Maricopa County14:48 Device Identity and Zero Trust Architecture29:56 Managed vs. Unmanaged Devices40:15 Understanding the NIST Framework42:52 Balancing Technology and People43:58 Training and Partner Collaboration48:03 Organizational Change Management50:40 Future of Device Identity54:40 Debating Machine Identity01:06:36 Curiosity as an Olympic Sport01:13:00 Conclusion and Final ThoughtsConnect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.com

Matt McLarty, CTO at Boomi, joins the show to break down what enterprise AI adoption really looks like in 2025. From navigating the hype cycle to identifying practical first steps, Matt shares what separates companies that are seeing value from those stuck in endless pilots. If you're a tech leader wondering how to move beyond experimentation and into measurable outcomes, this episode is your playbook.Key Takeaways• AI adoption is not binary—it's a spectrum, and success depends on linking it to business value, not just “using AI.”• Orientation matters: every company needs an honest assessment of where they are on their digital maturity curve before jumping in.• Small, low-risk bets build the organizational muscle memory required for bigger wins.• The fastest wins often come from augmenting existing automation rather than chasing moonshots.• Companies that succeed treat AI as a tool to solve business problems, not as an end goal.Timestamped Highlights01:38 – Why AI's hype cycle feels like “Mount Everest” compared to cloud and mobile04:50 – Why AI adoption can't be compared to past waves like blockchain or cloud07:36 – The hidden foundation: digital transformation work still matters11:11 – The inversion that changes everything: AI isn't the goal, business outcomes are16:26 – Defining “adoption” as a multi-dimensional spectrum, not a checkbox19:50 – How to recover if your first AI projects fall short28:04 – Building adaptability as a core enterprise competency31:25 – The common traits of companies succeeding with AI right nowA standout moment“AI isn't the end goal—it's just another tool. The real question is, what business problems can we finally solve with it?” – Matt McLartyCall to actionIf this episode gave you a clearer path toward enterprise AI adoption, share it with a colleague and follow the show so you never miss a conversation on where tech leadership is heading.

Announcing our new show, Monitoring the Situation, hosted by a16z General Partners Erik Torenberg and Katherine Boyle, with guest Eddie Lazzarin, CTO of a16z crypto. In this first episode, we ask how American Dynamism, consumer, games, and crypto all fit together, from Palmer/Oculus to Marc Andreessen's Techno-Optimist Manifesto, while also exploring crypto × AD values, parenting in the AI era, and how internet subcultures shape the news. Timecodes: 0:00 Introduction1:25  Tech Coherence: American Dynamism & Consumer Crypto4:55 The Hero's Journey in Tech5:59 Games, Toys, and Defense Innovation6:38 Crypto & American Values11:25 Decentralization, Federalism, and Tech13:08 AI, China, and Competing Values14:18 Medicine, Parenting, and the Wisdom of Crowds20:47 ADHD, Diagnosis Incentives, and Education27:31 Alternative Schooling & AI Tutors35:46 Parenting, Family, and Modern Support Systems42:24 Zoomer Culture, Internet Fragmentation, and X54:38 Media, Social Networks, and Cultural Shifts Resources: Find Eddy on X: https://x.com/eddylazzarinFind Katherine on X: https://x.com/KTmBoyleFind Erik on X: https://x.com/eriktorenberg 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.