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Podcast: The Work Item - Real Talk on Tech's Toughest Career Choices (LS 27 · TOP 10% ) Episode: #94 - Exploiting Your Unfair Advantages - Shirley Wu (Shirley Wu Studio) Pub date: 2025-10-20 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Shirley Wu is back-to-back on The Work Item - we previously talked about her unexpected career in data visualizations, but for this episode we're switching things up a little bit and instead focus on building long-term career advantages based on Shirley's experience. This is an especially important topic in the era of AI, where folks have a lot of uncertainty about their career tracks and what it means to build durable moats that can survive the industry being upended by new tools and approaches to getting things done. Shirley's experience is particularly relevant here as an independent studio owner - she's someone who has years of experience to lean on flying solo and seeing how one can establish their own reputation and image in the space. You can find Shirley on the following sites: Shirley Wu StudioBlueskyLinkedInInstagram The podcast was produced by Den Delimarsky. Feedback If you haven't already, make sure to subscribe to the show and leave a review or a rating, wherever you are getting your podcast. I really appreciate your feedback and am working to make this podcast more useful for you, the listener, with every episode. Ratings and feedback make it so others can easily discover and enjoy the insights you listen to here!

Podcast: Developers! - mer än bara kod Episode: 272. Vad händer när man tappat gnistan? Pub date: 2026-04-23 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization En lyssnare har kodat sedan högstadiet, programmering var hans grej – men nu är gnistan borta. Han undrar om det är AI som tagit något ifrån honom, småbarnsåren, eller om han helt enkelt växt ifrån det. Vi pratar om vad som händer med motivationen när verktygen börjar lösa problemen åt dig, om "kod som personlighet" och vad som händer med självbilden när den identiteten rubbas, och om det faktiskt är okej att bara… inte vara en sådan där som älskar kod längre. Vi tittar också på färsk data från Gallup om hur AI-adoption faktiskt ser ut bland Gen Zs och på Gallerix-skandalen där AI-genererade motiv lades ut för försäljning utan att konstnärerna visste om det. 🤓 Svårighetsnivå: 2/5 🔗 Länkar: Gallup: Gen AI Adoption Steady, Skepticism Climbs SVT: Efter AI-kritik – Gallerix tar bort 50 motiv 💬 Ställ en anonym fråga eller insändare som vi kan ta upp i podden! 💌 Håll kontakten med oss: Discord Instagram Facebook hello@developerspodcast.com https://www.developerspodcast.com Om du gillar podden får du gärna stötta oss genom att köpa vår merch, bli en Patreon, subscriba till podden eller skriva en recension! ★ Support this podcast on Patreon ★

Podcast: The Growth Podcast (LS 37 · TOP 2.5% ) Episode: How to Become a "Builder PM" with n8n, Claude Code, and OpenClaw | Mahesh Yadav (ex-Google, AWS, Meta, Microsoft; Founder LegalGraph AI) Pub date: 2026-04-20 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Today’s episode LinkedIn just changed the title of its product managers to product builders. What does it even mean to be a “builder PM”? Well, tools only get you so far. Learning Claude Code is helpful, but means nothing if you don’t have an understanding of the underlying first principles. That’s today’s episode. Mahesh Yadav created one of our most popular episodes, with over 35K views on YouTube, and now he’s back. Earlier, he taught you AI agents. Today, he’s touching you how to become a builder PM: If you want access to my AI tool stack - Dovetail, Arize, Linear, Descript, Reforge Build, DeepSky, Relay.app, Magic Patterns, Speechify, and Mobbin - grab Aakash’s bundle. I’m giving a free talk on how to get interviews at the top AI PM companies on Thursday, April 23rd 2026 @ 9:00AM PDT. Grab your seat. ---- Check out the conversation on Apple, Spotify, and YouTube. Brought to you by: * Maven - Build cohort-based courses that scale * Amplitude - The market leader in product analytics * Jira Product Discovery - Prioritize what matters with confidence * NayaOne - Airgapped cloud-agnostic sandbox to validate AI tools faster * Product Faculty - Get $550 off their #1 AI PM Certification with my link ---- Key Takeaways: 1. Builder PM defined - A builder PM talks to customers, figures out what to build, and ships the first version to 10 customers without talking to any developer. The skill is knowing what to build, not knowing how to code. 2. Four agent components - Every agent that works has intelligence (model), tools (actions), memory (session context), and knowledge (your company data). Every agent that disappoints is missing at least one. 3. n8n for foundations - n8n is the best learning tool because you visually see every component of the agent architecture as separate nodes. Build your first multi-agent system and evaluation pipeline here. 4. Claude Code ate three company types - Context companies, action companies, and evaluation companies all got replaced by one agentic loop inside Claude Code. The three pieces collapsed into one tool. 5. Computer control is the real unlock - File system access plus bash commands equals full laptop capability. This is why Claude Code went from coding tool to work operating system. 6. Long-horizon jobs changed the game - AI agents went from 3-minute tasks to 3-6 hour sustained jobs in six months. This turns Claude Code from assistant to autonomous worker. 7. Continuous learning loops - Build a second agent that watches your corrections to the first agent's work. After five repeated patterns, it proposes a skill update. Your tools get better every day. 8. OpenClaw pattern - Delegation through existing channels, full machine sandboxing, model-agnostic. Not a product but a pattern that Google and AWS will copy inside their ecosystems. 9. AI PM interviews changed - At L5 and L6, product sense questions are being replaced with live building exercises and system design for AI architectures. Pull out Claude Code during the interview or you are already out. 10. Compensation trajectory - From $120K at Microsoft to $1.3M at Google over 13 years, doubling every 18 months through AI-focused switches. Left because big companies kill innovation with six-week approval cycles. ---- Where to find Mahesh Yadav * LinkedIn * Maven Course Related content Podcasts: * Claude Code Team OS with Carl Vellotti * OpenClaw + Claude Code with Naman Pandey * Claude Code OS with Dave Killeen Newsletters: * The complete context engineering guide * How to use Claude Code like a pro * Practical AI agents for PMs ---- PS. Please subscribe on YouTube and follow on Apple & Spotify. It...

Podcast: Latent Space: The AI Engineer Podcast (LS 44 · TOP 1% ) Episode: Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different" Pub date: 2026-04-03 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z’s legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change. This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube! We discuss: * Marc’s long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today’s moment as the culmination of decades of compounding technical progress * Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not * AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong * Scaling laws, Moore’s Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models * The dot-com crash and AI infrastructure risk: Marc’s comparison between today’s AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here * Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints * Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI * American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they’re free but because they teach the world how things work, and how open source strategies may shift as the market consolidates * Why Pi and OpenClaw matter so much: Marc’s claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades * Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is * The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept * Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems * Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first * Proof of human vs. proof of bot: why Marc thinks the internet’s bot problem is now unsolvable via detection alone, and why...

Podcast: Latent Space: The AI Engineer Podcast (LS 44 · TOP 1% ) Episode: Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review — Ryan Lopopolo, OpenAI Frontier & Symphony Pub date: 2026-04-07 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization We’re proud to release this ahead of Ryan’s keynote at AIE Europe. Hit the bell, get notified when it is live! Attendees: come prepped for Ryan’s AMA with Vibhu after. Move over, context engineering. Now it’s time for Harness engineering and the age of the token billionaires. Ryan Lopopolo of OpenAI is leading that charge, recently publishing a lengthy essay on Harness Eng that has become the talk of the town: In it, Ryan peeled back the curtains on how the recently announced OpenAI Frontier team have become OpenAI’s top Codex users, running a >1m LOC codebase with 0 human written code and, crucially for the Dark Factory fans, no human REVIEWED code before merge. Ryan is admirably evangelical about this, calling it borderline “negligent” if you aren’t using >1B tokens a day (roughly $2-3k/day in token spend based on market rates and caching assumptions): Over the past five months, they ran an extreme experiment: building and shipping an internal beta product with zero manually written code. Through the experiment, they adopted a different model of engineering work: when the agent failed, instead of prompting it better or to “try harder,” the team would look at “what capability, context, or structure is missing?” The result was Symphony, “a ghost library” and reference Elixir implementation (by Alex Kotliarskyi) that sets up a massive system of Codex agents all extensively prompted with the specificity of a proper PRD spec, but without full implementation: The future starts taking shape as one where coding agents stop being copilots and start becoming real teammates anyone can use and Codex is doubling down on that mission with their Superbowl messaging of “you can just build things”. Across Codex, internal observability stacks, and the multi-agent orchestration system his team calls Symphony, Ryan has been pushing what happens when you optimize an entire codebase, workflow, and organization around agent legibility instead of human habit. We sat down with Ryan to dig into how OpenAI’s internal teams actually use Codex, why the real bottleneck in AI-native software development is now human attention rather than tokens, how fast build loops, observability, specs, and skills let agents operate autonomously, why software increasingly needs to be written for the model as much as for the engineer, and how Frontier points toward a future where agents can safely do economically valuable work across the enterprise. We discuss: * Ryan’s background from Snowflake, Brex, Stripe, and Citadel to OpenAI Frontier Product Exploration, where he works on new product development for deploying agents safely at enterprise scale * The origin of “harness engineering” and the constraint that kicked off the whole experiment: Ryan deliberately refused to write code himself so the agent had to do the job end to end * Building an internal product over five months with zero lines of human-written code, more than a million lines in the repo, and thousands of PRs across multiple Codex model generations * Why early Codex was painfully slow at first, and how the team learned to decompose tasks, build better primitives, and gradually turn the agent into a much faster engineer than any individual human * The obsession with fast build times: why one minute became the upper bound for the inner loop, and how the team repeatedly retooled the build system to keep agents productive * Why humans became the bottleneck, and how Ryan’s team shifted from reviewing code directly to building systems, observability, and context that let agents review, fix, and merge work autonomously * Skills, docs, tests, markdown trackers, and...

Podcast: Level-up Engineering (LS 33 · TOP 5% ) Episode: Building a new engineering team by turning another one around - Tips from Tinder Pub date: 2024-10-16 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Transforming teams doesn’t go without its challenges. Let’s look at Tinder’s example. In this episode, Chris O'Brien, Director of Engineering at Tinder, shares his insights on building and leading engineering teams, particularly focusing on turning around existing teams. He discusses transforming teams, transitioning into a leadership role, Tinder’s culture and hiring process and a lot more. Sign up to the Level-up Engineering newsletter! In this interview we're covering: Excerpt from the interview: “Change isn't easy for anyone, especially in the workplace where stability and predictability matter. Switching teams suddenly can be unsettling, and it takes time for people to adapt and build trust with their new colleagues. That's why I've always believed in prioritizing relationship-building. It's something my mentor taught me early on, and it's proven to be invaluable. When there's already a foundation of trust and camaraderie, transitions become smoother, and teams become stronger.”

Podcast: Product Thinking (LS 48 · TOP 1% ) Episode: Episode 265: How Marketplace Teams Decide What to Build Pub date: 2026-03-25 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Creating great product organizations takes more than setting roadmaps. It requires clear priorities, shared decision-making, and a strong sense of what makes the business uniquely valuable. In this episode, Melissa Perri brings together insights from three product leaders on how teams can create focus, alignment, and clarity as they scale. You’ll hear from Kristin Dorsett, Chief Product Officer at Viator at the time, on balancing top-down priorities with bottom-up autonomy and why doing fewer things at once leads to more meaningful progress. Craig Saldanha, Chief Product Officer at Yelp, explains how explicit product principles help teams make better decisions and stay aligned, especially in a two-sided marketplace. Mauricio Monico reflects on lessons from eBay and Wish, including the risks of copying competitors, the importance of explaining strategy clearly across the organization, and why turnarounds often begin by fixing marketplace fundamentals before chasing growth. Together, these perspectives offer a practical look at how product leaders create alignment without losing adaptability. You’ll hear us talk about: Kristin Dorsett explains how her organization combines top-down company priorities with team-level ownership. Some teams are aligned to a small number of company-wide big bets, while others are given lightweight charters and room to define their own roadmap. The conversation shows how strategic direction and local autonomy can work together when expectations are clear. A major theme in Kristin’s segment is the discipline of focus. She describes the company’s evolution from trying to pursue dozens of major initiatives at once to narrowing that list down to just three. The result was stronger alignment across departments and better progress on the work that mattered most. Craig Saldanha shares how Yelp codified its product culture into a set of decision-making tenets. He discusses how those principles help teams handle trade-offs, move faster on reversible decisions, and stay thoughtful on harder-to-reverse choices. He also explains how Yelp thinks about marketplace dynamics, consumer and business needs, and the flywheel that drives sustainable growth. Mauricio Monico reflects on how eBay struggled when it tried to imitate Amazon instead of leaning into its own value proposition. He also walks through Wish’s turnaround, where the initial focus was not growth but restoring marketplace health through better merchant standards, product quality, and delivery performance. His examples show why clarity, differentiation, and strong fundamentals matter more than reactive strategy. Episode resources: Try Granola today: http://granola.ai/productinstitute Check our courses: https://productinstitute.com/ Episode 221: Balancing Strategy and Execution at Scale with Kristin Dorsett:https://www.produxlabs.com/product-thinking-blog/episode-221-kristin-viator-strategy-experimentation Episode 162: Product Roadmap: Building a Platform for the Next Decade with Craig Saldanha, Chief Product Officer at Yelp:https://www.produxlabs.com/product-thinking-blog/2024/3/13/episode-162-product-roadmap-building-a-platform-for-the-next-decade-with-craig-saldanha-chief-product-officer-at-yelp Episode 158: Turning the Tide with Mauricio Monico’s Lessons from eBay, Facebook, and Google:https://www.produxlabs.com/product-thinking-blog/2024/2/14/episode-158-turning-the-tide-with-mauricio-monicos-lessons-from-ebay-facebook-and-google Kristin Dorsett on LinkedIn:https://www.linkedin.com/in/kristindorsett/ Craig Saldanha on LinkedIn:https://www.linkedin.com/in/craigsaldanha/ Mauricio Monico on LinkedIn:https://www.linkedin.com/in/mspmonico/

Podcast: Adfærd Episode: 123. Bonusepisode: Første kapitel af Afdelingen for Magisk tænkning Pub date: 2025-11-25 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization *Find podcastens nyhedsbrev lige her: https://mortenmunster.com/podcasts/* Så er der en lille tidlig julegave til dig:-) Bonusepisoden i dag er nemlig første kapitel af lydbogsudgaven af Afdelingen for Magisk Tænkning. Så hvis du ikke har købt bogen endnu, kan du høre første kapitel kvit og frit her. Og hvis du er en af de smukke mennesker, der allerede har læst den, kan du få fornøjelsen af at genbesøge første kapitel i lyd. Der er i øvrigt en del, der har spurgt, hvornår lydbogen udkommer. Svaret er, at den allerede er her. I forhold til streaming på Mofibo og den slags, så er meldingen, at den burde komme engang til næste år. Hvornår ved jeg ikke. Find bogen lige her: Papirudgave: SAXO Bog&idé Lydbog: Bog&idé SAXO

Podcast: Lenny's Podcast: Product | Career | Growth (LS 62 · TOP 0.1% ) Episode: From skeptic to true believer: How OpenClaw changed my life | Claire Vo Pub date: 2026-03-29 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Claire Vo is the host of our sister podcast, “How I AI,” a former product executive and engineer, and founder of an AI startup called ChatPRD. Claire now runs her business, podcast, and family life with the help of nine OpenClaw agents running on multiple Mac Minis and old laptops. In this episode, Claire shares her journey from OpenClaw skeptic (it deleted her family calendar the first time she tried it) to true believer, and gives a masterclass in using AI agents in real life. We discuss: 1. The exact step-by-step process to install and set up OpenClaw (it’s easier than you think) 2. How to avoid the biggest OpenClaw mistakes (don’t install it on your main computer) 3. Actual use cases that have changed Claire’s life (e.g. family scheduling, inbound sales, podcast prep, and course management) 4. Why multiple specialized agents beat one general-purpose agent 5. The security risks everyone worries about—and how to handle them 6. Browser limitations, memory issues, and practical workarounds — Brought to you by: Mercury—Radically different banking Omni—AI analytics your customers can trust Orkes—The enterprise platform for reliable applications and agentic workflows — Where to find Claire Vo: • X: https://x.com/clairevo • LinkedIn: https://www.linkedin.com/in/clairevo • Podcast: https://www.youtube.com/@howiaipodcast • Website: https://clairevo.com • ChatPRD: https://www.chatprd.ai — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Claire and OpenClaw (08:00) The journey from OpenClaw skeptic to believer (11:50) What OpenClaw actually does that’s useful (13:35) OpenClaw vs. other AI agent products (17:05) How to actually install OpenClaw: the basics (18:49) Setting up like you’d onboard a real assistant (20:41) Security and privacy considerations (24:53) Live demo: Installing OpenClaw step-by-step (28:47) Setting up Q: an agent for her kids’ homework (34:08) Understanding “soul,” “identity,” and “memory” (40:40) The unlock: multiple agents, not just one (45:02) How to run multiple agents on one machine (47:28) Jesse Genet’s homeschooling use case (49:58) Real examples and use cases (56:41) Finn, Claire’s family agent (1:00:05) Sage the Course Bot (1:02:15) Common issues and workarounds (1:08:08) The Exa/Perplexity web search workaround (1:09:29) Memory management and context overload (1:12:09) Pro tip: Screen sharing to manage Mac Minis (1:14:18) Using Google Workspace for agent collaboration (1:16:24) What makes OpenClaw special (1:20:15) The “yappers API” and ramble mode (1:22:04) Using Claude Code as your OpenClaw brain surgeon (1:25:16) Bringing management skills to AI agents (1:29:32) Why this matters (1:32:37) Lightning round and final thoughts — Referenced: • OpenClaw: https://openclaw.ai • Claude Cowork: https://claude.com/product/cowork • Fry’s Electronics: https://en.wikipedia.org/wiki/Fry%27s_Electronics • Peter Steinberger on LinkedIn: https://www.linkedin.com/in/steipete • Telegram: https://telegram.org • WhatsApp: https://www.whatsapp.com • Fin: https://fin.ai • Why OpenClaw feels alive even though it’s not (this AI has a heartbeat but not a brain): https://x.com/clairevo/status/2017741569521271175 • 5 OpenClaw agents run my home, finances, and code | Jesse Genet: https://www.youtube.com/watch?v=96Vl8s3EQhk • Executive Playbook for AI in Engineering, Product, and Design: https://maven.com/clairevo/ai-native-epd-org • Zach Davis on LinkedIn: https://www.linkedin.com/in/zach-m-davis/ • ChatGPT Atlas: https://chatgpt.com/atlas •...

Podcast: Den Agile Agenda Episode: Er sprints en nøgle til agil succes eller præcis det modsatte? Lyt med, og få en rationel forklaring. Pub date: 2026-03-13 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Er man kun agil, hvis man arbejder i sprints? Det er der nogen, der mener, men kunne det synspunkt mon være en af de mange vedtagne sandheder omkring det agile, som ikke helt holder vand, hvis man tænker lidt nærmere over sagerne? Det er tit sådan, at hvis der er mange nok, der siger den samme ting, så bliver det pludselig rigtigt, men denne ting skal jo helst også vise sig at være rigtig, når man ser på resultaterne ude i den virkelige verden. Et eksempel på sådan en næsten vedtagen sandhed, er fænomenet ”et sprint”. Jeg møder igen og igen den holdning, at man ikke kan arbejde agilt, hvis man ikke arbejder i sprints. Nu har jeg sat mig for at se nærmere på den påstand. Hvad sker der egentlig, når man sprinter, og hvad med den proces, der ligger udenom? Er sprints virkelig så agile, som mange mener, de er, eller kunne det i virkeligheden være sådan, at man faktisk ifører sig en stram, uagil spændetrøje, når man sprinter? Jeg går til sagen så objektivt, som jeg overhovedet formår, og som altid læner jeg mig op ad den viden jeg har samlet op – nogle gange på den hårde måde - gennem de sidste snart 20 år. Den viden hænger selvfølgelig stærkt sammen mine praktiske erfaringer fra de Scrum, SAFe og Kanban transformationer jeg har stået i spidsen for eller været en del af ude i virkeligheden. I den sidste ende er det jo det, der tæller, for virkeligheden vinder hver gang.

Podcast: No Nonsense Agile Leadership (LS 25 · TOP 10% ) Episode: #0123 - Effective Technical Leadership with Daniel Terhorst North Pub date: 2026-01-06 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization In this episode, we're joined by Daniel Turhurst North, a veteran technical leader and consultant with more than 30 years of experience in software delivery, executive leadership, and organizational change. We dig into what effective technical leadership really is, why performance problems are often system problems, and how incentives and structures drive bad behavior. Daniel gives practical advice on building stronger peer alliances, using feedback to surface issues without drama and staying steady when politics kicks in. Join us for some really practical and insightful advice from Daniel North.

Podcast: Coaching for Leaders (LS 63 · TOP 0.1% ) Episode: 776: Forge Connections That Help You Thrive, with Neri Karra Sillaman Pub date: 2026-03-30 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Neri Karra Sillaman: Pioneers Neri Karra Sillaman is a refugee-turned-entrepreneur, academic, and author whose work focuses on the importance of resilience, purpose, and vision in business and in life. She is the recipient of the Thinkers50 Radar Award, an entrepreneurship expert at the University of Oxford, and the founder of Neri Karra, a global luxury leather goods brand. She is the author of Pioneers: 8 Principles of Business Longevity from Immigrant Entrepreneurs (Amazon, Bookshop)*. We all know that the right connections can help in our careers, but how do we actually get more intentional about forging the connections that will be most meaningful and sustainable? In this conversation, Neri and I explore the key lessons from immigrant entrepreneurs and how their successes can help us all thrive. Key Points Resources Mentioned Pioneers: 8 Principles of Business Longevity from Immigrant EntrepreneursAmazonBookshop Interview Notes Download my interview notes in PDF format (free membership required). Related Episodes Three People Who Will Help You Grow, with Andrew C.M. CooperThe Way to Build Collective Power, with Ruchika T. MalhotraUsing AI to Make Networking Easier, with Ruth Gotian Discover More Activate your free membership for full access to the entire library of interviews since 2011, searchable by topic. To accelerate your learning, uncover more inside Coaching for Leaders Plus.

Podcast: Book Overflow (LS 32 · TOP 5% ) Episode: Is Strategy Worth It? - Crafting Engineering Strategy by Will Larson Pub date: 2026-03-30 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization In this episode of Book Overflow, Carter and Nathan finish discussing Crafting Engineering Strategy by Will Larson!Try Mailtrap for free with our link! https://l.rw.rw/book_overflow_1Join the Book Overflow Discord here! https://discord.gg/ZwS2fqW7ZZ -- Want to talk with Carter or Nathan? Book a coaching session! ------------------------------------------------------------Carterhttps://www.joinleland.com/coach/carter-m-1Nathanhttps://www.joinleland.com/coach/nathan-t-2-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------Crafting Engineering Strategy by Will Larsonhttps://amzn.to/4uuUg3J------Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Podcast: Stellar Work Episode: #55 Allen Holub About The Evolution Of Agility And Its AI Future Pub date: 2026-03-30 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Summary Agility was supposed to change everything. And it did — just not always in the way we hoped. In this episode, Ben sits down with Allen Holub to talk about how agile methodology shaped the software industry, where it went off the rails, and why AI might be repeating the same mistakes. From the original promise of the Agile Manifesto to the certification industrial complex, and from developer empowerment to the next wave of AI-driven disruption, this is a candid, no-holds-barred conversation about what went wrong and what it takes to actually get it right. Allen Holub is a software development thought leader, consultant, trainer, and author who helps organizations become more effective at creating software. With a career that started building robots and writing compilers, Allen has since served as CTO for early-stage startups, Principal Architect for a medium-sized one, and Distinguished Professor of Computer Science at Mills College where he taught what he calls "real agile," not the Agile-industrial-complex version. He's worked with hundreds of companies from startups to large enterprises, engaging at every level from CEO coaching to mobbing with individual teams. Allen is widely published, with bestselling books like Taming Java Threads and Compiler Design in C (used as a textbook at Berkeley, CalTech, MIT, and IIT), and was a contributing editor at Dr. Dobb's Journal and JavaWorld. He co-moderates the 200K+ member Agile and Lean Software Development group on LinkedIn and is a sought-after international speaker many of his talks are available on YouTube. A dual US-EU citizen, Allen continues to consult and train on both agile process and software architecture, with a focus on building flexible systems that can evolve gracefully over time, with and without AI. Allen on Linkedn: https://www.linkedin.com/in/allenholub/ Allens Mail: allen@holub.com Allens Website: https://holub.com/ Allen on Mastodon: https://mstdn.social/@allenholub Stellar Work: Here is the Stellar Work Newsletter: https://substack.com/@stellarwork Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.stellarwork.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more information about how evolutionary agile transformations work Make sure to follow us on your podcast player 🔔

Podcast: Drunk Agile (LS 29 · TOP 10% ) Episode: Episode 116 - Backtesting Monte Carlo Pub date: 2026-03-04 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Episode 116 - Backtesting Monte Carlo by Dan Vacanti & Prateek Singh

Podcast: Think Fast Talk Smart: Communication Techniques (LS 59 · TOP 0.1% ) Episode: 273. Quick Thinks: How to Create Messages People Remember Pub date: 2026-03-19 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Memorable communication isn’t about saying more—it’s making the right idea stick. No matter how compelling a presentation feels in the moment, most of what you say won’t last in your audience’s memory. The key isn’t trying to make people remember everything — it’s ensuring they remember what matters most. Carmen Simon is a cognitive neuroscientist, author, and expert on how the brain pays attention and forms memories. Her research explores how communication can move beyond passive listening and become an experience the brain actually holds onto. “The way we come to know the world is through the interaction of brain, body, and environment,” she explains. “The more you invite your audiences to interact with anything, especially physically, the more you impact cognition.” In this Quick Thinks episode of Think Fast Talk Smart, Simon and host Matt Abrahams explore practical, research-backed ways to make communication more memorable. They discuss why handwriting notes can deepen understanding, how curiosity and tension capture attention, and why communicators should avoid overwhelming audiences with too much information. Instead, Simon encourages speakers to structure ideas so audiences can recognize patterns and return to a clear core message. Episode Reference Links: Carmen SimonImpossible to IgnoreEp.39 Brains Love Stories: How Leveraging Neuroscience Can Capture People's Emotions Connect: Premium SignupThink Fast Talk Smart PremiumEmail Questions & Feedback Episode Transcripts Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning FasterSmarter.ioThink Fast Talk Smart LinkedIn InstagramYouTubeMatt Abrahams LinkedIn Chapters: ******** Thank you to our sponsors. These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost. This episode is sponsored by Grammarly. Let Grammarly take the busywork off your plate so you can focus on high-impact work. Download Grammarly for free today Join our Think Fast Talk Smart Learning Community and become the communicator you want to be.

Podcast: Partnering Leadership (LS 37 · TOP 2.5% ) Episode: 441 The AI Ultimatum: What Leaders Must Decide Now with Steve Brown Pub date: 2026-03-17 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization In this episode of Partnering Leadership, Mahan Tavakoli sits down with Steve Brown, a leading AI futurist and former executive at organizations including Intel and DeepMind. Brown brings a rare combination of technical depth and leadership perspective, shaped by decades at the forefront of technological change and his work advising leaders around the world on the implications of artificial intelligence. The conversation centers on Brown’s book, The AI Ultimatum, and the core argument behind it: AI is not simply another productivity tool or IT upgrade. It represents a fundamental shift in how intelligence is created, scaled, and applied inside organizations. Leaders who treat AI as incremental technology risk missing the much larger transformation underway. Brown explains why he believes we are entering an “intelligence age,” comparable in scope to the Industrial Revolution, but unfolding at a dramatically faster pace. As the cost of intelligence approaches zero, organizations will face new strategic choices about workforce design, value creation, leadership identity, and ethical responsibility. These choices, Brown argues, cannot be delegated or delayed without consequence. Throughout the episode, Mahan challenges Brown to bridge theory and practice. They explore real organizational examples, from AI agents working alongside humans to scientific breakthroughs like AlphaFold, and examine how leaders can shift from efficiency-driven thinking toward value creation, judgment, and human amplification. This is not a conversation about tools or trends. It is a candid discussion about leadership responsibility in a period of accelerated change, and what CEOs and senior executives must rethink now to ensure their organizations remain relevant, resilient, and human-centered. Actionable Takeaways Connect with Steve Brown Steve Brown Website Steve Brown LinkedIn The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation Connect with Mahan Tavakoli: Mahan Tavakoli Website Mahan Tavakoli on LinkedIn Partnering Leadership Website

Podcast: The Bike Shed (LS 46 · TOP 1% ) Episode: 497: Diagrams we love Pub date: 2026-03-10 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Aji and Joël get into a flow as they discuss the different diagrams that help guide their thought processes when working. Together they compare their go to diagrams and why they find them so useful, the different analysis tools a diagram can offer and the alternative perspective on your work it provides, as well as how using diagrams can help communicate your mental models more effectively with your colleagues. — Be sure to check out these resources on diagrams and conditionals for some wider reading on today’s episode - BeautifulMermaid Repo - Visualising RSepc - Structuring Conditionals You can also find our hosts speaking at various conferences over the next few months - Haggis Ruby - Blue Ridge Ruby Your hosts for this episode have been thoughtbot’s own Joël Quenneville and Aji Slater. If you would like to support the show, head over to our GitHub page, or check out our website. Got a question or comment about the show? Why not write to our hosts: hosts@bikeshed.fm This has been a thoughtbot podcast. Stay up to date by following us on social media - YouTube - LinkedIn - Mastodon - BlueSky © 2026 thoughtbot, inc. Support The Bike Shed

Podcast: Book Overflow (LS 32 · TOP 5% ) Episode: How Engineering Leaders Approach Strategy - Crafting Engineering Strategy by Will Larson Pub date: 2026-03-16 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization In this episode of Book Overflow, Carter and Nathan discuss Crafting Engineering Strategy by Will Larson!Join the Book Overflow Discord here! https://discord.gg/ZwS2fqW7ZZ -- Want to talk with Carter or Nathan? Book a coaching session! ------------------------------------------------------------Carterhttps://www.joinleland.com/coach/carter-m-1Nathanhttps://www.joinleland.com/coach/nathan-t-2-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------Crafting Engineering Strategy by Will Larsonhttps://amzn.to/4uuUg3J------Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Podcast: Scrum Master Toolbox Podcast: Agile storytelling from the trenches (LS 48 · TOP 0.5% ) Episode: BONUS Why Every Organization Reinvents Silos—And What to Do About It With Roland Flemm Pub date: 2026-03-20 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization BONUS: Why Every Organization Reinvents Silos—And What to Do About It Today we speak with Roland Flemm, co-creator of Org Topologies and co-author of 10X Org — Powered by Org Topologies. Roland has spent decades in the trenches—first as a developer, then in infrastructure, and finally as a Scrum Master, trainer, and organizational design consultant. In this episode, he explains why even teenagers with zero corporate experience instinctively create departmental silos, why making every team faster doesn't make the whole organization faster, and how leaders can use the Org Topologies map to see their organization as it actually is—not as the org chart says it should be. From Developer to Org Designer: Four Decades of Hitting the Same Wall "I felt many, many times the limitations of organizational structures stopping me from using my common sense to make people work together in a proper way." Roland's career spans over 40 years, starting as a developer in 1984. After a decade writing code and another decade in infrastructure, he moved into Scrum and agile coaching. But even as a highly effective Scrum Master, he kept hitting the same ceiling: local team improvements couldn't break through organizational boundaries. You could have wins with your team, but the moment you needed multiple teams to work together, someone higher up would shut it down. That frustration led him to Large-Scale Scrum (LeSS) by Bas Vodde and Craig Larman, which offered a more educated approach to multi-team collaboration—and eventually to co-creating Org Topologies as a way to help leaders see and change the structures that block real collaboration. Bas has been on the podcast to share his view on scaling Scrum with LeSS, listen to his episode here. The Hydrogen Car That Built Its Own Silos "If you don't think about your org design—the way that you want to collaborate—then something like this happens." One of the most striking stories in Roland's book comes from the Technical University of Delft, where student engineers were thrown together to build a hydrogen racing car. These were teenagers—no corporate experience, no boss who'd worked in a traditional company. And within weeks, they'd organized themselves into departmental silos, each sticking to their specialty. The mechanical engineers stayed on their turf, the electrical engineers on theirs. It was automatic. Roland traces this instinct deep: from school, where you choose a specialty; from the army and the church, where hierarchy is the default; from society itself, where "you're a plumber, so then we know what you are." The pattern of drawing boundaries and appointing leads when faced with complexity isn't corporate culture—it's human nature. And the problem isn't that it exists. The problem is that we don't know there are alternatives. The Ferrari Effect: Why Local Speed Creates Global Congestion "It's not that people choose to do fewer things. They just push more into the system because it can handle it. And that's where things go wrong." Roland uses a vivid analogy from the book: swapping every car on the road for a Ferrari doesn't fix traffic congestion. The same principle applies in organizations. Everyone feels faster individually—teams are delivering, sprints are moving—but the whole isn't getting better. The HealthCare.gov story makes the case dramatically: 55 vendor firms, $1.7 billion in spending, and on launch day, six people successfully enrolled. Then a ten-person cross-functional team fixed it in six weeks. Roland sees this pattern repeat in banks that adopt delivery-oriented structures like SAFe: they create value streams, but because they don't make hard choices about...