Podcasts about Figma

AGENDA: 03:32 Lightspeed's $9 Billion Fundraise 05:20 The Impact of Mega Funds on Seed VCs 10:09 The Supercycle of Growth and Late-Stage Investments 13:06 Disney Invests $1BN into OpenAI and What It Means 23:19 Oracle Hit Hard: Is Now the Time to Buy 28:34 Broadcom's Market Cap Drop and Anthropic's AI Chip Orders 35:04 Cursor Competes with Figma: The Convergence of Design and Coding Tools 46:20 The Biggest Danger for Incumbents: Being Maimed by AI 55:28 Boom Supersonic Raising $300M to… Power Data Centres… WTF 01:00:24 Will SpaceX IPO at $1.5TRN and The Elon Option Value    

Sure, design might be going through a tough period...But as the saying goes, "never waste a good crisis."So this moment of uncertainty, where everyone is wondering if (or rather when) AI will take over their job, might actually be our biggest opportunity to rise up.It is a unique chance to reclaim our core focus of designing services that genuinely improve people's lives, rather than just extracting value to maximize shareholder returns.Of course to discuss an existential topic like this we had to find someone who's been around the block for some time. And boy did we find someone!For this episode we sit down with the legendary Dan Saffer to chat about what we can learn from the last two decades of design evolution.We try to wrap our heads around what caused the erosion of strategic design from its heyday, which, frankly, wasn't even that long ago.We look into how we somehow got identified with the outputs, like running workshops or creating interfaces in Figma, rather than the outcomes. And more importantly, what we can do to prevent that from happening again, whether that's with journey management or crafting smart prompts.And finally we also tackle the big question of why design isn't having a greater influence on the current wave of AI, and how we can change that.So bring your cassette player for this one, because we're going back in time for some nostalgia and a healthy dose of hope.Enjoy the conversation and keep making a positive impact!~ Marc--- [ 1. GUIDE ] --- 00:00 Welcome to Episode 24303:00 Why Design Has Failed the Enterprise07:15 Defining a 'Well-Designed Service'11:00 4 Stages of Design Maturity13:45 The Critical Challenge of Design at Scale16:30 Debunking the Myth being Design as a 'Luxury'19:30 Is Service Design an Attitude or a Practice?20:45 Impact of Cloud & Mobile on Design Challenges23:15 Designing for the 'Cloud Age' 29:00 Service Design vs. Interaction Design31:45 Focus on the System, Not Just the Artifact35:00 The Challenge of Hiring True System-Level Designers37:30 Moving Design from Extractive to Generative44:45 Only Way to Win Is to Not Play the Game48:15 Driving Organizational Change Through Design Culture52:45 Why Designers Burn Out56:45 How to Measure the Impact of Generative Design1:00:00 Why AI is a People Problem1:03:15 What Makes a Great Design Leader?1:06:15 The Essential Mindset Shift for Modern Design Leadership1:09:15 The Great Opportunity of AI in Service Design1:13:45 Final Takeaway1:14:15 Question to Ponder --- [ 2. LINKS ] --- LinkedIn - https://www.linkedin.com/in/dansaffer/Blue Sky - https://blueskydirectory.com/profiles/odannyboy.bsky.socialMedium - https://medium.com/ui-for-ai/welcome-to-ui-for-ai-eb22aef8d26c --- [ 3. CIRCLE ] --- Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle--- [4. FIND THE SHOW ON] ---Youtube ~ https://go.servicedesignshow.com/243-youtubeSpotify ~ https://go.servicedesignshow.com/243-spotifyApple ~ https://go.servicedesignshow.com/243-appleSnipd ~ https://go.servicedesignshow.com/243-snipd

In this episode, we're joined by Youssef Hounat, product leader, ex-auditor, and (unexpectedly) freestyle-rap-ready builder of tools for accountants. He went from training at Ernst & Young to helping scale DataSnipper into one of the Netherlands' unicorns, and now he's building again as Head of Product at ComplianceWise. We unpack what's actually changing inside product teams: AI stops being a rewrite/search tool and becomes a teammate that takes real work off your plate. Youssef shares how the best teams reduce context switching, turn customer research into a habit, and use agentic workflows + MCPs to connect tools like email, Jira, Figma, and docs without becoming a “fleshy meat puppet” copy-pasting between 10 tabs. Here are some of the key questions we address: Why do 99% of teams still use AI wrong, and what mindset shift fixes it? How do you turn customer research into a continuous habit using transcripts + automated pipelines? What's a real example of AI helping product push back on “build this to close the deal” and finding the true request underneath? How do top teams use MCP + coding agents to move from idea → PRD → Jira tickets without leaving the terminal? What's the difference between a prototype you build to learn vs a product you build to earn — and why vibe-coded output can't go straight to production? How do you avoid reinventing the wheel and start with small weekly automations that compound? What's the real risk behind shadow AI usage  and how do you get IT onside instead of blocked?

As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.Featuring:Jason Beutler – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

David George is a General Partner at Andreessen Horowitz, where he leads the firm's Growth investing team. His team has backed many of the defining companies of this era, including Databricks, Figma, Stripe, SpaceX, Anduril, and OpenAI, and is now investing behind a new generation of AI startups like Cursor, Harvey, and Abridge. AGENDA: 03:05 – Why Everyone is Wrong: Mega Funds Does Not Reduce Returns 10:40 – Is Public Market Capital Actually Cheaper Than Private Capital? 18:55 – The Biggest Advantage of Staying Private for Longer 23:30 – The #1 Investing Rule for a16z: Always Invest in the Founder's Strength of Strengths 31:20 – Why Fear of Theoretical Competition Makes Investors Miss Great Companies 35:10 – Does Revenue Matter as Much in a World of AI? 44:10 – Does Kingmaking Still Exist in Venture Capital Today? 49:20 – Do Margins Matter Less Than Ever in an AI-First World? 53:50 – My Biggest Miss: Anthropic and What I Learn From it?  56:30 – Has OpenAI Won Consumer AI? Will Anthropic Win Enterprise? 59:45 – The Most Controversial Decision in Andreessen Horowitz History 1:01:30 – Why Did You Invest $300M into Adam Neumann and Flow?    

Listen now: Spotify, Apple and YouTubeWhat actually changes inside a product and engineering org when a company commits to becoming AI-native—not as a side project, but as the new operating system?In this episode of Supra Insider, Marc and Ben sit down with Gaurav Hardikar, VP of Product at HomeLight, to unpack the company's ambitious transformation: an executive team hackathon, ten AI initiatives across tech debt and product debt, and a completely new way of scoping, shipping, and collaborating across product, engineering, and design.Gaurav walks through how HomeLight reshaped their workflows to move dramatically faster, built an AI-powered scoping assistant that consolidates inputs across functions, and created a shared “source of truth” that removes one of the biggest product bottlenecks—misalignment.He also introduces a brand-new role inside the org: the AI Product Builder—what it is, why PMs can't do all of it, and the skills that separate great builders from average ones as AI-native development becomes standard.Whether you're a product leader trying to accelerate your roadmap, an engineer rethinking how AI changes execution, or a PM who wants to understand what skills will still matter in an AI-native world, this episode gives a practical, inside-the-org look at what real transformation requires.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

We're thrilled to welcome back Eva Hongyan Gao, Head of Product ESG at AMCS Group, a returning guest (episode 102) and a product leader in B2B SaaS, circular economy, and ESG, for a special episode on using LLMs securely inside the enterprise. Eva joins Matt and Moshe to offer a candid, hands-on look at how AI fits into enterprise toolkits, the challenges of data compliance, and the realities of integrating tools like Microsoft Copilot Studio within strict security frameworks.Eva brings deep experience building for demanding enterprise customers, where success is measured not just by innovation, but by strict ISO, SOC 2, and GDPR compliance. She shares what happens behind the scenes as product leaders and IT teams try to balance innovation, cost, and data protection, sometimes losing sleep over responsible tool usage and ever-climbing AI integration costs.Join Matt, Moshe, and Eva as they explore:Using AI tools in highly regulated, security-conscious B2B enterprise settingsThe compliance process: from ISO and SOC2 to GDPR and internal AI guidelinesWhy Microsoft Copilot is becoming the default LLM in enterprises, and what you still need to watch out forBuilding internal agents and chat interfaces to answer roadmap questions and handle stakeholder requestsLessons learned moving from over-engineered platforms to simpler, compliant AI toolsCreative AI workflows, including removing branded assets between Copilot and Figma and orchestrating information for various departmentsThe ongoing struggle: data redaction, internal transparency, and the limits of controlling generative modelsLLM orchestration: mixing old-school logic with new AI capabilities, and knowing when not to use AISecurity best practices and the importance of a trust-based compliance mindset across the organizationWhat happens when stakeholders use AI tools in ways product never expectedOpportunities for Copilot and DevOps to streamline maintenance, documentation, and stakeholder requestsThe future of AI in sustainability, product management, and business decision-makingAnd much more!Want to connect with Eva or learn more?LinkedIn https://www.linkedin.com/in/evagaodeYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Show DescriptionChris and Jessica from Studioworks join us to talk about their new app, why they're uniquely qualified to run an invoicing app, what the long term vision is for Studioworks, pricing models of subscription apps, how invoicing isn't just for web nerds anymore, helping neurospicy people get paid for their work, and what it's like to transfer to a new invoicing app. Listen on WebsiteWatch on YouTubeGuestsJessica HischeGuest's Main URL • Guest's SocialJessica Hische is a lettering artist and author with a tendency to overshare and a penchant for procrastiworking. Chris ShiflettGuest's Main URL • Guest's SocialChris Shiflett is a husband, father, entrepreneur, community leader, author, speaker, and amateur athlete. Links Studioworks.app The web's grain by Frank Chimero SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

Listen now: Spotify, Apple and YouTubeIf you've been hearing phrases like “taste is the only thing that will matter for PMs in the AI era” but aren't sure what that actually means—or more importantly, how to build it—this episode is for you.In this conversation, Marc and Ben sit down with Sachin Rekhi, founder, former LinkedIn product leader, and creator of LinkedIn Sales Navigator, to unpack the real mechanics of taste: where it comes from, how to sharpen it, and why it's already the defining skill of AI-native product teams.Sachin shares the frameworks he teaches inside companies and in his Reforge course—from Rick Rubin's “sensitivity & canon” model, to daily design-critique habits, to the patterns he saw across design-driven, metrics-driven, strategy-driven, and sales-driven org cultures.He also tells the untold story of how Sales Navigator went from a tiny skunkworks project to one of LinkedIn's biggest product lines—why social capital mattered, how he managed leadership skepticism, and how he used prototypes, real customer quotes, and narrative-building to secure executive conviction.Whether you're trying to level up your product intuition, navigate organizational taste cultures, or use AI without slipping into “AI slop,” you'll walk away with practical models you can apply immediately to your product work, leadership communication, and team workflows.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

I've probably learned more about visual design from MDS than anyone in the design community.So I wanted to go deep into the creative process behind the all-new Shift Nudge website to see how he explores visual ideas.He takes us through his Figma file that is full of very good ideas that didn't ship.And he even shows us how he built his own Mosaic tool in v0 which became the core motif of the site.So if you're interested in seeing the windy creative process behind one of the truly great designers today then I think you're going to enjoy this one.

Every few years, the world of product management goes through a phase shift. When I started at Microsoft in the early 2000s, we shipped Office in boxes. Product cycles were long, engineering was expensive, and user research moved at the speed of snail mail. Fast forward a decade and the cloud era reset the speed at which we build, measure, and learn. Then mobile reshaped everything we thought we knew about attention, engagement, and distribution.Now we are standing at the edge of another shift. Not a small shift, but a tectonic one. Artificial intelligence is rewriting the rules of product creation, product discovery, product expectations, and product careers.To help make sense of this moment, I hosted a panel of world class product leaders on the Fireside PM podcast:• Rami Abu-Zahra, Amazon product leader across Kindle, Books, and Prime Video• Todd Beaupre, Product Director at YouTube leading Home and Recommendations• Joe Corkery, CEO and cofounder of Jaide Health • Tom Leung (me), Partner at Palo Alto Foundry• Lauren Nagel, VP Product at Mezmo• David Nydegger, Chief Product Officer at OvivaThese are leaders running massive consumer platforms, high stakes health tech, and fast moving developer tools. The conversation was rich, honest, and filled with specific examples. This post summarizes the discussion, adds my own reflections, and offers a practical guide for early and mid career PMs who want to stay relevant in a world where AI is redefining what great product management looks like.Table of Contents* What AI Cannot Do and Why PM Judgment Still Matters* The New AI Literacy: What PMs Must Know by 2026* Why Building AI Products Speeds Up Some Cycles and Slows Down Others* Whether the PM, Eng, UX Trifecta Still Stands* The Biggest Risks AI Introduces Into Product Development* Actionable Advice for Early and Mid Career PMs* My Takeaways and What Really Matters Going Forward* Closing Thoughts and Coaching Practice1. What AI Cannot Do and Why PM Judgment Still MattersWe opened the panel with a foundational question. As AI becomes more capable every quarter, what is left for humans to do. Where do PMs still add irreplaceable value. It is the question every PM secretly wonders.Todd put it simply: “At the end of the day, you have to make some judgment calls. We are not going to turn that over anytime soon.”This theme came up again and again. AI is phenomenal at synthesizing, drafting, exploring, and narrowing. But it does not have conviction. It does not have lived experience. It does not feel user pain. It does not carry responsibility.Joe from Jaide Health captured it perfectly when he said: “AI cannot feel the pain your users have. It can help meet their goals, but it will not get you that deep understanding.”There is still no replacement for sitting with a frustrated healthcare customer who cannot get their clinical data into your system, or a creator on YouTube who feels the algorithm is punishing their art, or a devops engineer staring at an RCA output that feels 20 percent off.Every PM knows this feeling: the moment when all signals point one way, but your gut tells you the data is incomplete or misleading. This is the craft that AI does not have.Why judgment becomes even more important in an AI worldDavid, who runs product at a regulated health company, said something incredibly important: “Knowing what great looks like becomes more essential, not less. The PM's that thrive in AI are the ones with great product sense.”This is counterintuitive for many. But when the operational work becomes automated, the differentiation shifts toward taste, intuition, sequencing, and prioritization.Lauren asked the million dollar question. “How are we going to train junior PMs if AI is doing the legwork. Who teaches them how to think.”This is a profound point. If AI closes the gap between junior and senior PMs in execution tasks, the difference will emerge almost entirely in judgment. Knowing how to probe user problems. Knowing when a feature is good enough. Knowing which tradeoffs matter. Knowing which flaw is fatal and which is cosmetic.AI is incredible at writing a PRD. AI is terrible at knowing whether the PRD is any good.Which means the future PM becomes more strategic, more intuitive, more customer obsessed, and more willing to make thoughtful bets under uncertainty.2. The New AI Literacy: What PMs Must Know by 2026I asked the panel what AI literacy actually means for PMs. Not the hype. Not the buzzwords. The real work.Instead of giving gimmicky answers, the discussion converged on a clear set of skills that PMs must master.Skill 1: Understanding context engineeringDavid laid this out clearly: “Knowing what LMS are good at and what they are not good at, and knowing how to give them the right context, has become a foundational PM skill.”Most PMs think prompt engineering is about clever phrasing. In reality, the future is about context engineering. Feeding models the right data. Choosing the right constraints. Deciding what to ignore. Curating inputs that shape outputs in reliable ways.Context engineering is to AI product development what Figma was to collaborative design. If you cannot do it, you are not going to be effective.Skill 2: Evals, evals, evalsRami said something that resonated with the entire panel: “Last year was all about prompts. This year is all about evals.”He is right.• How do you build a golden dataset.• How do you evaluate accuracy.• How do you detect drift.• How do you measure hallucination rates.• How do you combine UX evals with model evals.• How do you decide what good looks like.• How do you define safe versus unsafe boundaries.AI evaluation is now a core PM responsibility. Not exclusively. But PMs must understand what engineers are testing for, what failure modes exist, and how to design test sets that reflect the real world.Lauren said her PMs write evals side by side with engineering. That is where the world is going.Skill 3: Knowing when to trust AI output and when to override itTodd noted: “It is one thing to get an answer that sounds good. It is another thing to know if it is actually good.”This is the heart of the role. AI can produce strategic recommendations that look polished, structured, and wise. But the real question is whether they are grounded in reality, aligned with your constraints, and consistent with your product vision.A PM without the ability to tell real insight from confident nonsense will be replaced by someone who can.Skill 4: Understanding the physics of model changesThis one surprised many people, but it was a recurring point.Rami noted: “When you upgrade a model, the outputs can be totally different. The evals start failing. The experience shifts.”PMs must understand:• Models get deprecated• Models drift• Model updates can break well tuned prompts• API pricing has real COGS implications• Latency varies• Context windows vary• Some tasks need agents, some need RAG, some need a small finetuned modelThis is product work now. The PM of 2026 must know these constraints as well as a PM of the cloud era understood database limits or API rate limits.Skill 5: How to construct AI powered prototypes in hours, not weeksIt now takes one afternoon to build something meaningful. Zero code required. Prompt, test, refine. Whether you use Replit, Cursor, Vercel, or sandboxed agents, the speed is shocking.But this makes taste and problem selection even more important. The future PM must be able to quickly validate whether a concept is worth building beyond the demo stage.3. Why Building AI Products Speeds Up Some Cycles and Slows Down OthersThis part of the conversation was fascinating because people expected AI to accelerate everything. The panel had a very different view.Fast: Prototyping and concept validationLauren described how her teams can build working versions of an AI powered Root Cause Analysis feature in days, test it with customers, and get directional feedback immediately.“You can think bigger because the cost of trying things is much lower,” she said.For founders, early PMs, and anyone validating hypotheses, this is liberating. You can test ten ideas in a week. That used to take a quarter.Slow: Productionizing AI featuresThe surprising part is that shipping the V1 of an AI feature is slower than most expect.Joe noted: “You can get prototypes instantly. But turning that into a real product that works reliably is still hard.”Why. Because:• You need evals.• You need monitoring.• You need guardrails.• You need safety reviews.• You need deterministic parts of the workflow.• You need to manage COGS.• You need to design fallbacks.• You need to handle unpredictable inputs.• You need to think about hallucination risk.• You need new UI surfaces for non deterministic outputs.Lauren said bluntly: “Vibe coding is fast. Moving that vibe code to production is still a four month process.”This should be printed on a poster in every AI startup office.Very Slow: Iterating on AI powered featuresAnother counterintuitive point. Many teams ship a great V1 but struggle to improve it significantly afterward.David said their nutrition AI feature launched well but: “We struggled really hard to make it better. Each iteration was easy to try but difficult to improve in a meaningful way.”Why is iteration so difficult.Because model improvements may not translate directly into UX improvements. Users need consistency. Drift creates churn. Small changes in context or prompts can cause large changes in behavior.Teams are learning a hard truth: AI powered features do not behave like typical deterministic product flows. They require new iteration muscles that most orgs do not yet have.4. The PM, Eng, UX Trifecta in the AI EraI asked whether the classic PM, Eng, UX triad is still the right model. The audience was expecting disagreement. The panel was surprisingly aligned.The trifecta is not going anywhereRami put it simply: “We still need experts in all three domains to raise the bar.”Joe added: “AI makes it possible for PMs to do more technical work. But it does not replace engineering. Same for design.”AI blurs the edges of the roles, but it does not collapse them. In fact, each role becomes more valuable because the work becomes more abstract.• PMs focus on judgment, sequencing, evaluation, and customer centric problem framing• Engineers focus on agents, systems, architecture, guardrails, latency, and reliability• Designers focus on dynamic UX, non deterministic UX patterns, and new affordances for AI outputsWhat does changeAI makes the PM-Eng relationship more intense. The backbone of AI features is a combination of model orchestration, evaluation, prompting, and context curation. PMs must be tighter than ever with engineering to design these systems.David noted that his teams focus more on individual talents. Some PMs are great at context engineering. Some designers excel at polishing AI generated layouts. Some engineers are brilliant at prompt chaining. AI reveals strengths quickly.The trifecta remains. The skill distribution within it evolves.5. The Biggest Risks AI Introduces Into Product DevelopmentWhen we asked what scares PMs most about AI, the conversation became blunt and honest. Risk 1: Loss of user trustLauren warned: “If people keep shipping low quality AI features, user trust in AI erodes. And then your good AI product suffers from the skepticism.”This is very real. Many early AI features across industries are low quality, gimmicky, or unreliable. Users quickly learn to distrust these experiences.Which means PMs must resist the pressure to ship before the feature is ready.Risk 2: Skill atrophyTodd shared a story that hit home for many PMs. “Junior folks just want to plug in the prompt and take whatever the AI gives them. That is a recipe for having no job later.”PMs who outsource their thinking to AI will lose their judgment. Judgment cannot be regained easily.This is the silent career killer.Risk 3: Safety hazards in sensitive domainsDavid was direct: “If we have one unsafe output, we have to shut the feature off. We cannot afford even small mistakes.”In healthcare, finance, education, and legal industries, the tolerance for error is near zero. AI must be monitored relentlessly. Human in the loop systems are mandatory. The cycles are slower but the stakes are higher.Risk 4: The high bar for AI compared to humansJoe said something I have thought about for years: “AI is held to a much higher standard than human decision making. Humans make mistakes constantly, but we forgive them. AI makes one mistake and it is unacceptable.”This slows adoption in certain industries and creates unrealistic expectations.Risk 5: Model deprecation and instabilityRami described a real problem AI PMs face: “Models get deprecated faster than they get replaced. The next model is not always GA. Outputs change. Prompts break.”This creates product instability that PMs must anticipate and design around.Risk 6: Differentiation becomes hardI shared this perspective because I see so many early stage startups struggle with it.If your whole product is a wrapper around an LLM, competitors will copy you in a week. The real differentiation will not come from using AI. It will come from how deeply you understand the customer, how you integrate AI with proprietary data, and how you create durable workflows.6. Actionable Advice for Early and Mid Career PMsThis was one of my favorite parts of the panel because the advice was humble, practical, and immediately useful.A. Develop deep user empathy. This will become your biggest differentiator.Lauren said it clearly: “Maintain your empathy. Understand the pain your user really has.”AI makes execution cheap. It makes insight valuable.If you can articulate user pain precisely.If you can differentiate surface friction from underlying need.If you can see around corners.If you can prototype solutions and test them in hours.If you can connect dots between what AI can do and what users need.You will thrive.Tactical steps:• Sit in on customer support calls every week.• Watch 10 user sessions for every feature you own.• Talk to customers until patterns emerge.• Ask “why” five times in every conversation.• Maintain a user pain log and update it constantly.B. Become great at context engineeringThis will matter as much as SQL mattered ten years ago.Action steps:• Practice writing prompts with structured context blocks.• Build a library of prompts that work for your product.• Study how adding, removing, or reordering context changes output.• Learn RAG patterns.• Learn when structured data beats embeddings.• Learn when smaller local models outperform big ones.C. Learn eval frameworksThis is non negotiable.You need to know:• Precision vs recall tradeoffs• How to build golden datasets• How to design scenario based evals for UX• How to test for hallucination• How to monitor drift• How to set quality thresholds• How to build dashboards that reflect real world input distributionsYou do not need to write the code.You do need to define the eval strategy.D. Strengthen your product senseYou cannot outsource product taste.Todd said it best: “Imagine asking AI to generate 20 percent growth for you. It will not tell you what great looks like.”To strengthen your product sense:• Review the best products weekly.• Take screenshots of great UX patterns.• Map user flows from apps you admire.• Break products down into primitives.• Ask yourself why a product decision works.• Predict what great would look like before you design it.The PMs who thrive will be the ones who can recognize magic when they see it.E. Stay curiousRami's closing advice was simple and perfect: “Stay curious. Keep learning. It never gets old.”AI changes monthly. The PM who is excited by new ideas will outperform the PM who clings to old patterns.Practical habits:• Read one AI research paper summary each week.• Follow evaluation and model updates from major vendors.• Build at least one small AI prototype a month.• Join AI PM communities.• Teach juniors what you learn. Nothing accelerates mastery faster.F. Embrace velocity and side projectsTodd said that some of his biggest career breakthroughs came from solving problems on the side.This is more true now than ever.If you have an idea, you can build an MVP over a weekend. If it solves a real problem, someone will notice.G. Stay close to engineeringNot because you need to code, but because AI features require tighter PM engineering collaboration.Learn enough to be dangerous:• How embeddings work• How vector stores behave• What latency tradeoffs exist• How agents chain tasks• How model versioning works• How context limits shape UX• Why some prompts blow up API costsIf you can speak this language, you will earn trust and accelerate cycles.H. Understand the business deeplyJoe's advice was timeless: “Know who pays you and how much they pay. Solve real problems and know the business model.”PMs who understand unit economics, COGS, pricing, and funnel dynamics will stand out.7. Tom's Takeaways and What Really Matters Going ForwardI ended the recording by sharing what I personally believe after moderating this discussion and working closely with a variety of AI teams over the past 2 years.Judgment becomes the most valuable PM skillAs AI gets better at analysis, synthesis, and execution, your value shifts to:• Choosing the right problem• Sequencing decisions• Making 55 45 calls• Understanding user pain• Making tradeoffs• Deciding when good is good enough• Defining success• Communicating vision• Influencing the orgAgents can write specs.LLMs can produce strategies.But only humans can choose the right one and commit.Learning speed becomes a competitive advantageI said this on the panel and I believe it more every month.Because of AI, you now have:• Infinite coaches• Infinite mentors• Infinite experts• Infinite documentation• Infinite learning loopsA PM who learns slowly will not survive the next decade. Curiosity, empathy, and velocity will separate great from goodMany panelists said versions of this. The common pattern was:• Understand users deeply• Combine multiple tools creatively• Move quickly• Learn constantlyThe future rewards generalists with taste, speed, and emotional intelligence.Differentiation requires going beyond wrapper appsThis is one of my biggest concerns for early stage founders. If your entire product is a wrapper around a model, you are vulnerable.Durable value will come from:• Proprietary data• Proprietary workflows• Deep domain insight• Organizational trust• Distribution advantage• Safety and reliability• Integration with existing systemsAI is a component, not a moat.8. Closing ThoughtsHosting this panel made me more optimistic about the future of product management. Not because AI will not change the job. It already has. But because the fundamental craft remains alive.Product management has always been about understanding people, making decisions with incomplete information, telling compelling stories, and guiding teams through ambiguity and being right often.AI accelerates the craft. It amplifies the best PMs and exposes the weak ones. It rewards curiosity, empathy, velocity, and judgment.If you want tailored support on your PM career, leadership journey, or executive path, I offer 1 on 1 career, executive, and product coaching at tomleungcoaching.com.OK team. Let's ship greatness. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit firesidepm.substack.com

Ed Elson speaks with Dylan Field, co-founder and CEO of Figma. They discuss the future of design in the age of AI, how his management style has changed over time, and what it was like to go public. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Neste episódio do Semiose Podcast, converso com Igor dos Anjos sobre o que é Design Sprint, quando aplicar, como funciona na prática e por que essa metodologia ajuda times de design e produto a validar ideias com muito mais velocidade. Uma conversa essencial pra quem trabalha com inovação, UX e times multidisciplinares.✅Recomendações de Conteúdo:Curso de UX/UI Design: ⁠⁠⁠⁠https://cursouidesign.com.br/⁠⁠⁠⁠Curso de Figma: ⁠⁠⁠⁠https://cursofigma.com.br⁠⁠⁠⁠Fundamentos do Design Visual: ⁠⁠⁠⁠https://fundamentosdodesign.com.br⁠⁠⁠⁠Ebook Heurísticas de Nielsen: ⁠⁠⁠⁠http://papodeux.com.br/conteudo/ebook-heursticas-de-nielsen⁠⁠⁠⁠✅Siga o Semiose nas Redes Sociais:Instagram: ⁠⁠⁠⁠https://www.instagram.com/semiosepodcast/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/company/semiosedesign/⁠⁠⁠⁠TikTok: ⁠⁠⁠⁠https://www.tiktok.com/@semiosepodcast⁠⁠⁠#podcastbrasil #podcastdesign #semiosepodcast

Para precio y disponibilidad, vaya a este vínculo: https://amzn.to/4on7YRV ogitech MX Creative Console te da el control total de tu flujo creativo con 9 teclas LCD personalizables y un dial giratorio preciso. Perfecto para edición de fotos, video y diseño — desde Adobe Photoshop hasta Premiere Pro, Lightroom o Figma — permite asignar atajos, abrir apps, ajustar herramientas o navegar con fluidez sin depender del teclado. Con solo un giro o un toque, automatizas tareas repetitivas y mantienes tu enfoque creativo. Compatible con Mac y PC, ideal para diseñadores, editores y creadores que buscan trabajar más rápido y eficiente.

O movimento do Figma ao instalar um escritório oficial de representação para a América Latina, e escolher São Paulo como casa, é um sinal poderoso. Um marcador luminoso de que o Brasil deixou de ser apenas um ponto no mapa e se tornou um polo estratégico para o futuro do design digital. A comunidade cresceu, se sofisticou, influenciou… e o Figma percebeu.E para entender o que isso significa de verdade, para o mercado, para as pessoas de design e para o futuro dessa disciplina que atravessa tecnologia, negócios e cultura, convidamos Débora Mioranzza que é GTM Executive, Latin America do Figma (linkedin.com/in/deb-mioranzza/). Ela vem compartilhar como o Figma enxerga esse ecossistema efervescente e quais caminhos se desenham no horizonte pela lente da ferramenta mais usada e amada no universo de UX design hoje.

Tomer Cohen is the longtime chief product officer at LinkedIn, where he's pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He's also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: https://podcasts.apple.com/us/podcast/building-one-with-tomer-cohen/id1726672498—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 Tomer Cohen(04:42) The need for change in product development(11:52) The full-stack builder model explained(16:03) Implementing AI and automation in product development(19:17) Building and customizing AI tools(27:51) The timeline to launch(31:46) Pilot program and early results(37:04) Feedback from top talent(39:48) Change management and adoption(46:53) Encouraging people to play with AI tools(41:21) Performance reviews and full-stack builders(48:00) Challenges and specialization(50:05) Finding talent(52:46) Tips for implementing in your own company(56:43) Lightning round and final thoughts—Referenced:• How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn): https://www.lennysnewsletter.com/p/how-linkedin-became-interesting-tomer-cohen• LinkedIn: https://www.linkedin.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Devin: https://devin.ai• Figma: https://www.figma.com• Microsoft Copilot: https://copilot.microsoft.com• Windsurf: https://windsurf.com• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• APB program at LinkedIn: https://careers.linkedin.com/pathways-programs/entry-level/apb• Naval Ravikant on X: https://x.com/naval• One Song podcast: https://podcasts.apple.com/us/podcast/%D7%A9%D7%99%D7%A8-%D7%90%D7%97%D7%93-one-song/id1201883177• Song Exploder podcast: https://songexploder.net• Grok on Tesla: https://www.tesla.com/support/grok• Reid Hoffman on X: https://x.com/reidhoffman—Recommended books:• Why Nations Fail: The Origins of Power, Prosperity, and Poverty: https://www.amazon.com/Why-Nations-Fail-Origins-Prosperity/dp/0307719227• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

It's time to Caps Lock in and Esc into another episode, as Tim Van Damme joins us to talk about his passion for designing mechanical keyboards. He describes how a pre-made keyboard that he customized by designing his own keycaps, ignited a passion for treating keyboards as both functional tools and artistic statements. Tim collaborates with a local CNC machine specialist to prototype and manufacture keyboards from raw materials like brass, copper, and semi-translucent plastics that age over time, prioritizing the honesty of the material over painted finishes. He finds freedom in the hobby's spectrum from boring, ergonomic designs to extravagant art pieces, and talks about how long it takes him to feel comfortable enough to overcome the small imperfections and use his own projects.Guest BioTim Van Damme (he/him) (you might also know him as Max) has been a software UI designer for over 2 decades at a wide variety of tech companies including Instagram, Dropbox, and currently Figma. Lately, he's been getting more and more interested in designing physical objects, specifically luxury mechanical keyboards and key caps under the moniker MVKB (Maxvoltar Keyboards). He lives in Belgium together with his wife, 3 kids, 4 chickens and dog.LinksTim's website: https://www.timvandamme.com/MaxVoltar Keyboards: https://mvkb.com/CreditsCover design by Raquel Breternitz.

My guest today is David George. David is a General Partner at Andreessen Horowitz, where he leads the firm's growth investing business. His team has backed many of the defining companies of this era – including Databricks, Figma, Stripe, SpaceX, Anduril, and OpenAI – and is now investing behind a new generation of AI startups like Cursor, Harvey, and Abridge. This conversation is a detailed look at how David built and runs the a16z growth practice. He shares how he recruits and builds his team a “Yankees-level” culture, how his team makes investment decisions without traditional committees, and how they work with founders years before investing to win the most competitive deals. Much of our conversation centers on AI and how his team is investing across the stack, from foundational models to applications. David draws parallels to past platform shifts – from SaaS to mobile – and explains why he believes this period will produce some of the largest companies ever built. David also outlines the models that guide his approach – why markets often misprice consistent growth, what makes “pull” businesses so powerful, and why most great tech markets end up winner-take-all. David reflects on what he's learned from studying exceptional founders and why he's drawn to a particular type, the “technical terminator.” Please enjoy my conversation with David George. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ramp.com/invest to sign up for free and get a $250 welcome bonus. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. ----- This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like The Best (00:04:00) Meet David George (00:03:04) Understanding the Impact of AI on Consumers and Enterprises (00:05:56) Monetizing AI: What is AI's Business Model (00:11:04) Investing in Robotics and American Dynamism (00:13:31) Lessons from Investing in Waymo (00:15:55) Investment Philosophy and Strategy (00:17:15) Investing in Technical Terminators (00:20:18) Market Leaders Capture All of the Value Creation (00:24:56) The Maturation of VC and Competitive Landscape (00:28:18) What a16z Does to Win Deals (00:33:06) David's Daily Routine: Meetings Structure and Blocking Time to Think (00:36:34) Why David Invests: Curiosity and Competition (00:40:12) The Unique Culture at Andreessen Horowitz (00:42:46) The Perfect Conditions for Growth Investing (00:47:04) Push v. Pull Businesses (00:49:19) The Three Metrics a16z Uses to Evaluate AI Companies (00:52:15) Unique Products and Unique Distribution (00:54:55) Tradeoffs of the a16z Firm Structure (00:59:04) a16z's Semi-Algorithmic Approach to Selling (01:00:54) Three Ways Startups can Beat Incumbents in AI (01:03:44) The Kindest Thing

Welcome to episode 333 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and Matt are taking a quick break from re:Invent festivities. They bring you the latest and greatest in Cloud and AI news. This week, we discuss Norad and Anthropic teaming up to bring you Christmas cheer. Wait, is that right? Huh. We also have undersea cables, some Turkish region delight, and a LOT of Opus 4.5 news. Let's get into it! Titles we almost went with this week Boring Error Pages Not Found Claude Goes Native in Snowflake: Finally, AI That Stays Where Your Data Lives Cross-Cloud Romance: AWS and Google Make It Official with Interconnect Google Gemini Puts OpenAI in Code Red: The Tables Have Turned Azure NAT Gateway V2: Now With More Zones Than a Parking Lot From ChatGPT to Chat-Uh-Oh: OpenAI Sounds the Alarm as Gemini Steals 200 Million Users Scheduled Actions: Because Your VMs Need a Work-Life Balance Too Finally, Your 500 Errors Can Look as Good as Your Homepage Foundry Model Router: Because Choosing Between 47 AI Models is Nobody’s Idea of Fun Google Takes the Scenic Route: New Cable Avoids the Sunda Strait Traffic Jam Azure Application Gateway Gets Its TCP/IP Diploma Google Cloud Gets Its Türkiye Dinner: 2 Billion Dollar Cloud Feast Coming Soon Microsoft Foundry: Turning AI Chaos into Compliance Gold AI Is Going Great, or How ML Makes Money  02:59 Nano Banana Pro available for enterprise Google launches Nano Banana Pro (Gemini 3 Pro Image) in general availability on Vertex AI and Google Workspace, with Gemini Enterprise support coming soon. The model supports up to 14 reference images for style consistency and generates 4K resolution outputs with multilingual text rendering capabilities. The model includes Google Search grounding for factual accuracy in generated infographics and diagrams, plus built-in SynthID watermarking for transparency. Copyright indemnification will be available at general availability under Google’s shared responsibility framework. Enterprise integrations are live with Adobe Firefly, Photoshop, Canva, and Figma, enabling production-grade creative workflows. Major retailers, including Klarna, Shopify, and Wayfair, report using the model for product visualization and marketing asset generation at scale. Developers can access Nano Banana Pro through Vertex AI with Provis

Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiFramer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

Show DescriptionWhy do we turkey when there's so many (better) options for meals, how many hobbies do we really need and why can't we do all of them, Clues by Sam difficulties and doing the puzzle game circuit, does Dave like D&D or does Dave like systems, the ongoing web monetization attempts, and Brecht on range group. Listen on WebsiteLinks Alton Brown Cooks Food | Episode 1: The Big Bird Big Green Egg Tobi Workwear Clues By Sam Stars – Daily Puzzle | Inkwell Games Fields – Daily Puzzle | Inkwell Games Tiled Words 646: Hard Code & Soft Skills – ShopTalk Lasers & Feelings by John Harper Greetings, Scoundrel | Blades in the Dark RPG Monster of the Week – Evil Hat Mothership RPG – Tuesday Knight Games Pathfinder Roleplaying Game | Paizo Baldur's Gate 3 on Steam 633: Thomas Steiner on AI in Chrome and the Web – ShopTalk Web Monetization is Still Inching Along – Frontend Masters Blog Open Letter Interledger Foundation Web Monetization – Chrome Web Store GateHub Grid Paper utilitybend Blog SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

Listen now: Spotify, Apple and YouTubeIn the first-ever live recording of Supra Insider, Marc and Ben sat down with Jacob Bank, founder of Relay.app, to unpack one of the most urgent questions facing product leaders today: How do AI agents actually change the way we work? Instead of abstract predictions, Jacob shares the very real workflows, failures, and breakthroughs behind running a 10-person company that delegates work to more than 300 AI agents.Across the conversation, the three dig into what PMs must learn next: writing job descriptions for agents, architecting responsibilities, managing automated execution, and understanding how agents influence velocity, product quality, and cross-functional collaboration. Jacob also discusses why PMs are lagging behind engineering and ops in adopting agentic workflows, and what will happen to teams who don't catch up.If you're a PM, founder, or operator trying to understand how AI is reshaping product development, or you've struggled to translate “agent hype” into concrete, repeatable workflows, this episode gives you a realistic, practitioner-level framework for building with agents today, and preparing for what's coming next.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

I get shown a lot of tool demos and one thing is clear…Canvas-based UX will play a pivotal role in how we interface with AI.It's a big reason why Figma just bought Weavy

Recorded 8/13/25Vincent co-founder Slava Rubin and Sacra's Jan-Erik Asplund discuss the design startup Figma's recent IPO, its competitive landscape, financial metrics, and the impact of AI on the design software market. They explore Figma's core products, growth potential, and the risks associated with its valuation. The conversation also touches on the broader implications of AI in the design space and the future projections for Figma as a public company.

Points of Interest0:01 – 01:27 – Introduction: Marcel welcomes returning guest Vito Peleg, CEO of Atarim, and frames the conversation around how agencies can streamline creative collaboration and leverage AI to improve delivery efficiency and profitability.01:28 – 03:27 – From Touring Musician to Collaboration Software Founder: Vito shares his backstory as a touring musician building websites from a van, then running a web agency, and how constant friction getting clients to give timely, clear feedback led to the first version of Atarim as a WordPress plugin.03:27 – 06:46 – The True Cost of Collaboration on Delivery Timelines: Marcel highlights how reducing delivery time by 50–70% transforms profit and cash flow, and Vito reframes the issue by showing that collaboration with clients and stakeholders routinely increases project timelines by 500–700%.06:46 – 10:06 – Why Text-Based Feedback Breaks Creative Work: Vito explains that human feedback is naturally three to five words and visual, but agencies force clients into long, text-heavy descriptions via email, docs, and tickets, creating procrastination, dead time, and constant misalignment.08:39 – 10:06 – Vague Feedback and Week-Long Clarification Cycles: Citing Atarim's data, Vito notes that 68% of creative comments written in text are too vague to action on first pass, leading to clarification cycles that typically add a full week to even simple tasks like updating a slide.10:12 – 15:07 – Building Momentum and “Two Days and a Weekend”: In response to Marcel's question about where agencies lose the most efficiency, Vito argues the biggest gap is at project start and introduces the “two days and a weekend” framing plus fast, simple deliverables (like a sitemap) to create momentum and urgency.15:15 – 17:28 – Getting Imperfect Work in Front of Clients Early: Marcel and Vito discuss reframing early deliverables explicitly as rough first passes so clients expect to react rather than receive perfection, reducing sunk-cost risk and speeding up alignment on direction.17:28 – 24:49 – How AI Is Compressing Build Time and Changing UI: Vito describes the evolution from hand-coded sites to drag-and-drop builders and now prompt-driven interfaces, arguing that AI will shrink creation time so dramatically that collaboration will become an even larger relative drag on projects.22:29 – 25:56 – The Future of Figma, Builders, and Dynamic Interfaces: Vito predicts that the traditional Figma-to-dev pipeline will erode as tools let teams go from prompt to production UI, while Marcel adds a Google perspective on a future where AI dynamically renders interfaces tailored to each user.30:37 – 37:42 – Agencies as Orchestrators of AI Agents, Not Just Humans: Vito outlines a future where agency owners orchestrate a team of AI agents instead of being the “talent,” potentially pricing work by tokens instead of dev hours, and using agents to automate follow-ups, support, and clarification cycles like Atarim's Claro.39:14 – 45:19 – Atarim's Agentic Creative Team Vision and Next Steps: Vito explains how Atarim is building a multi-human, multi-agent collaboration environment where specialized AI teammates (design, accessibility, performance, PM) work together in threads, and invites listeners to explore the early-access experience at Atarim.io.Show NotesConnect with Vito via LinkedInWebsite: Atarim.ioLove the PodcastLeave us a review here. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Show DescriptionDave has famous people blindness, a cologne life hack is dropped, what is the killer feature of web components, MCPs are so done—focus on skills instead, should custom events exist, and thoughts about streaming HMTL. Listen on WebsiteWatch on YouTubeLinks Good Hang With Amy Poehler - The Ringer Sebastian Maniscalco Has a Little More Pepper in His Hair These Days - The Ringer Guitar Center Austin Music Store normansrareguitars.com – Norman's Rare Guitars The killer feature of Web Components - daverupert.com figma/code-connect: A tool for connecting your design system components in code with your design system in Figma Chrome DevTools (MCP) for your AI agent | Blog | Chrome for Developers Stop Using CustomEvent SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

Listen now: Spotify, Apple and YouTubeIf you've ever wondered whether you could teach a course, how to validate demand for your expertise, or how AI is reshaping learning and personal brand building, this episode is for you.In this conversation, Marc and Ben sit down with Claire Chen, leading Growth at Maven and the person who originally recruited Ben to teach on the platform. Together, they unpack the real mechanics behind becoming a successful instructor - how to choose a topic, validate demand, build credibility, and grow a sustainable “portfolio career” alongside a full-time job. Claire shares the signals she looks for when sourcing new instructors, the biggest misconceptions operators have about teaching, and why course-based learning is booming right now.Whether you're thinking about launching your first lightning lesson, building a personal brand, diversifying your income, or simply want an inside look at how Maven finds and supports world-class instructors, you'll walk away with actionable frameworks, candid insights, and plenty of clarity on what it really takes to teach in the AI era.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

☃️ Slush Eindrücke 

Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.Featuring:Krish Ramineni – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Fireflies AISponsors:Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at [Miro](https://miro.com).Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at [framer.com/design](https://www.framer.com/design/) with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

What happens when design meets the AI revolution? In the latest episode of Boz to the Future, Meta CTO Andrew "Boz" Bosworth sits down with Figma Co-Founder and CEO Dylan Field, the visionary who started Figma at just 19 years old and transformed how millions of product builders create today.Boz and Dylan dive deep into the intersection of technology and creativity, from the early days when designers were scarce to today's collaborative, cloud-based workflows. They talk about the imminent paradigm shift in interfaces and what comes after text prompting. They discuss what stays evergreen despite rapid technological change, and why the pursuit of craft remains fundamentally human.Plus, don't miss the speed round where Dylan weighs in on everything from dark mode to the eternal question: which Thanksgiving side reigns supreme?Whether you're a designer, builder, or just curious about the future of human creativity in an AI-powered world, this conversation will challenge how you think about the tools we use to bring ideas to life.Leave Boz feedback on Instagram, X, and Threads @boztank.

Former Treasury Secretary Larry Summers has resigned from OpenAI's board days after Congress released an extensive cache of emails with convicted sex offender Jeffrey Epstein, which included details of intimate affairs. OpenAI is pushing deeper into retail, with Target set to debut a new ChatGPT-powered app for shoppers in coming weeks. The news follows OpenAI's move last month to start adding dedicated retail apps to ChatGPT, including Canva, Coursera, Figma, Expedia, Spotify, and Zillow. It also comes as OpenAI races to rake in AI-driven commerce via new products like “Instant Checkout” that let users make purchases within conversations with retailers like Etsy and Shopify. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this mini episode, Megan Wimberley highlights the importance of planning and organization for artists, revealing how these strategies can set the tone for a successful year. She encourages artists to reflect on their past year by celebrating their accomplishments, which is crucial in a field where self-doubt can easily creep in. This reflection not only provides motivation but also helps artists recognize their growth and set a positive mindset moving forward.Megan delves into practical steps for organizing the upcoming year, emphasizing the necessity of a clear system that allows artists to visualize their goals and deadlines. She suggests creating a “year at a glance” with quarterly breakdowns, using whiteboards or digital tools like Figma to help manage their schedules effectively. By incorporating color-coded milestones and deadlines, artists can obtain a clearer picture of their commitments, making it easier to balance work and personal life. Throughout her discussion, the overarching message is one of empowerment: that by planning realistically and flexibly, artists can reduce stress, protect their time, and create space for both artistic and personal fulfillment.Takeaways: Getting organized and planning ahead is crucial for a successful year in art. Reflecting on past accomplishments helps artists recognize their progress and avoid burnout. Creating a 'Year at a Glance' calendar allows for better time management and prevents over-scheduling. Incorporating color-coded systems in calendars can help track important deadlines and milestones effectively. Setting aside time for personal activities is essential to maintaining balance in a busy schedule. Flexibility in planning is important; artists should adapt their goals and schedules as needed throughout the year. Links referenced in this episode:figma.comgoogle.com/calendarCompanies mentioned in this episode: Cowgirl Artists of America Figma Google Calendar

Show DescriptionWhat do Balatro streamers do when the game is over, Random in CSS is so hot right now, Dave has a better idea for charts and graphs that would change the world, Quiet UI follow up, Dave tries vibe coding a tennis app and doesn't completely John McEnroe his laptop, Chris wonders about better cursor UI on the web, and debating affordances vs conventions. Listen on WebsiteWatch on YouTubeLinks Jynxzi - Twitch BALL x PIT on Steam Could Open Graph Just Be a CSS Media Type? | Scott Jehl, Web Designer/Developer https://webawesome.com Podcast Awesome Quiet UI A Beautiful Site Eleventy is a simpler static site generator Don't use custom CSS mouse cursors – Eric Bailey Home | Rach Smith's digital garden The Two Button Problem – Frontend Masters Blog SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

130 IPOs from over 400 startups. IVP is now in its 18th fund, with companies like Perplexity, Glean, Slack, Figma, Twitter, Uber, and Abridge in its portfolio. Somesh Dash, general partner at the 45-year-old firm, has been part of IVP for more than 20 years.We start with something we are both passionate about, building in the US-India corridor. Somesh talks about the group of people who put the silicon in Silicon Valley, the immigrants. From Andy Grove to Elon Musk to Chennai-born Aravind Srinivas.He recalls the first time he met Aravind at a WeWork, when Perplexity had just 20 employees and a beta product or how Dylan (Founder of Figma) had the vision nobody else had on the future of design, way before ai. The early signals Somesh saw in these founders, long before any signs of massive success were visible. He also talks about the companies they missed, giants like DoorDash, OpenAI, and Anthropic.Though this seasoned investor truly believes in AI, he says the sector is due for a correction. The bubble will burst. Most Gen 1.0 AI companies are unlikely to reach billion-dollar valuations or go public. But as always in tech, the lessons from this first wave will shape Gen 2.0 companies. And the teams that understand and adapt from this early wave will build the next generation of successful AI companies. Also, when the bubble bursts, that's the time to invest. Why?Somesh Dash shares in this episode.0:00 – Trailer1:12 – Immigrants who built Silicon Valley4:27 – India's incredible contribution to the Valley5:30 – How the India–US friction will actually help6:29 – What's at stake for both countries10:42 – Where India stands in AI11:45 – First meeting with Aravind Srinivas13:47 – Why IVP invested in Perplexity two years ago17:11 – In AI, don't take product–market fit for granted18:43 – Courage to fail & double down on early wins19:36 – Why multiple investors on a cap table isn't bad22:14 – How IVP invested in Figma24:28 – IPO is a milestone, not the end25:56 – Why US public markets are not overvalued27:50 – How a VC defines startup success31:08 – The best thing about failed startups32:12 – Why IVP missed DoorDash34:54 – How IVP decides to invest or pass38:27 – The doctor who builds tech45:05 – Future of Content is honesty and vulnerability47:11 – Meeting OpenAI & Anthropic in the early days48:52 – AI “startups” with capex the size of nations49:53 – The power law in venture capital50:45 – Why we're close to an AI correction54:11 – Gen 2.0 startups are built on Gen 1.0 foundations56:45 – Will the AI bubble burst?1:01:32 – Do high valuations during peaks still make sense?1:05:04 – What keeps IVP strong for five decades1:08:11 – The Co's making IVP more bullish on India–US corridor-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------Send us a text

In der heutigen Folge sprechen die Finanzjournalisten Nando Sommerfeldt und Holger Zschäpitz über gute Chancen auf steigende Aktienkurse, Tristesse beim Bitcoin und drei Deutschland-Reformen, die jetzt auf den Weg gebracht wurden.  Außerdem geht es um: CoreWeave, Microsoft, Oracle, ServiceNow, Meta, Alphabet, Berkshire Hathaway, Uniper, Eon, RWE, Siemens Energy, Lufthansa, Fraport, BMW, Stellantis, Amazon, Intel, Block, Lift, Robinhood, Pinterest, Arista Networks, Roblox, Duolingo, Nu Holdings, Broadcom, Confluent, Micron Technology, Kenvue, Walmart, Keurig Dr Pepper, Freeport McMoran, Las Vegas Sands, BP, Bank of America, Nuccor, D.R. Horten, Chubb, Dominos Pizza, Meta, Nvidia, Figure Technology Solution, Disney, Sunrun, CMS Energy, Merus, Indivior, iShares MSCI EM ETF (WKN: A0RPWJ), Stubhub, CRH, Vistra, Klarna, Bullish, Figma, AMD, Fiserv, American Airline, Trust Financial, XBP Global Holdings, iShares Bitcoin Trust ETF (WKN: A3ERHE). Wir freuen uns über Feedback an aaa@welt.de. Noch mehr „Alles auf Aktien“ findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast „Deffner&Zschäpitz“ hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Listen now: Spotify, Apple and YouTubeIf you're a product leader trying to navigate the shift from single-product focus to a broader portfolio—or wondering how AI is reshaping execution, team design, and strategic planning—this episode is for you.In this episode of Supra Insider, Marc and Ben sit down with Brian Balfour, CEO of Reforge, to explore how product orgs can expand into multi-product portfolios without losing focus, momentum, or clarity. Brian shares how his team shipped five new products in under a year, what most companies miss when trying to adopt AI, and how to avoid common traps like “Frankenstein workflows” and slow-to-die experiments.From deciding when to build vs. buy, to managing zero-to-one teams in parallel, to evaluating strategic threats in the AI era—this conversation is packed with practical frameworks and hard-earned lessons. You'll hear Brian's candid takes on M&A, cross-functional execution, PM bottlenecks, and the future of product development when language, code, and design start to collapse into one.Whether you're expanding your roadmap, building AI-native products, or simply trying to execute faster with fewer resources, this one's worth a listen.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

In this episode, host Kendall Hotchkiss welcomes Jake Bartlett, and they discuss his journey from motion designer to educator, his latest course launch, and his embrace of AI tools for creative work.This episode covers:Animation Principles course launch: Jake's new course focusing on 8 core principles of motion design (condensed from the original 12 Disney principles), featuring projects like the Ease-N-Out Burger animation made with Blender and After Effects' Advanced 3D render engineGenerous course giveaway: Jake offered free access to his Animation Principles course to all live attendees, demonstrating his commitment to education and community supportAI-powered tool development: Jake's exploration of vibe coding with Claude AI and Claude Code to create After Effects scripts and extensions, marking a significant shift in how motion designers can build custom toolsCareer evolution through generalist experience: How starting as a generalist at a production company (doing motion design, editing, camera work, and graphic design) helped Jake identify his passion for kinetic text and animated lyric videosLyric video specialization: Jake's journey to becoming known for lyric videos, culminating in work for Norah Jones and establishing a niche that combined his motion design skills with his music backgroundSoftware exploration beyond After Effects: Jake's experiments with Blender, Rive, Figma, and interest in DaVinci Resolve's Fusion, while maintaining After Effects as his primary toolYouTube content strategy: Jake's spontaneous approach to video creation based on excitement rather than strict planning, and his upcoming 30-day series covering every panel in After EffectsEfficient production workflow: How Jake optimizes his home studio setup with integrated camera, lighting, and teleprompter to streamline the tutorial creation process from recording to editingTeaching as ultimate career path: Jake's progression from full-time motion designer to freelancer to full-time educator, discovering that teaching was his true passion after trying different rolesUpcoming Events:Game Night: Wednesday, December 3rd - Gartic Phone and other games (watch for announcement in Monday Meeting channels)Visit MondayMeeting.org for this episode and other conversations from the motion design community!SHOW NOTES:⁠⁠⁠⁠⁠⁠⁠⁠⁠Monday Meeting Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Monday Meeting Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MondayMeeting LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MondayMeeting Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MondayMeeting Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MondayMeeting Newsletter⁠Jake's YouTubeJake's website“Level Up” Free SOM CourseNorah Jones - Flipside (Lyric Video)MUTEMATH - Walking Paranoia (Lyric Video)Plastic Planets - Useless (Official Lyric Video)The Pink Dust - Night Vices (OFFICIAL LYRIC VIDEO)The Pink Dust - Open Your Eyes (OFFICIAL LYRIC VIDEO)Jordyn Jones - I'm Dappin (Lyric Video)

In today's Tech3 from Moneycontrol, Groww steals the spotlight with a blockbuster market debut, as shares jump 31% on listing day. Capillary trims its IPO size amid improving cash flows. India's tech industry pushes back against MeitY's draft deepfake rules, warning of overbroad definitions. The EV rivalry heats up with Ather outperforming Ola Electric on key metrics, and Figma opens its first India office in Bengaluru, joining global tech majors expanding their footprint here.

Listen now: Spotify, Apple and YouTubeWhat happens when a creative side project starts to gain traction—but the founders have different ideas about how far to take it?In this unusually raw episode of Supra Insider, Marc and Ben invite their longtime friend and coach Josh Herzig-Marx to facilitate a live coaching session—on the podcast. Together, they explore the tension between friendship and business, how to manage an unequal split in effort, and whether to go “all in” on Insider Loops or preserve what's already working.This episode is for anyone navigating high-stakes collaborations, co-founder relationships, or creative projects that start as fun, but might be worth so much more.Expect vulnerability, laughter, some hard truths, and surprisingly actionable advice on alignment, contribution, and staying friends while building together.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Melanie Perkins is CEO and co-founder of Canva, currently valued at over $42 billion, generating over $3 billion in annual revenue, with more than 240 million monthly active users and, incredibly, eight consecutive years of profitability. But the journey was far from smooth. Melanie was rejected by over 100 investors during her first fundraising round, her team spent two years without being able to ship a new feature during a technical rewrite, and the company pivoted early from a yearbook publishing platform to become the design powerhouse it is today. Through it all, she maintained what she calls “column B” thinking: building toward a dream future rather than just using the bricks around you.We discuss:1. How “column B” thinking helped Melanie build Canva, by starting with an impossible vision rather than existing constraints2. The power of setting “crazy big goals”3. How Canva survived a painful two-year period without shipping any new features while rewriting their codebase4. How Melanie pushed through 100 investor rejections, and how she used each rejection to strengthen her pitch5. Canva's “two-step plan”: build one of the world's most valuable companies, then do the most good possible6. Melanie's vision for 2050 and why she believes imagination is the first step toward a better world—Brought to you by:Vanta—Automate compliance. Simplify security. https://vanta.com/lennyStripe—Helping companies of all sizes grow revenue: https://stripe.com/Justworks—The all-in-one HR solution for managing your small business with confidence: https://ad.doubleclick.net/ddm/trackclk/N9515.5688857LENNYSPODCAST/B33689522.424104489;dc_trk_aid=616485033;dc_trk_cid=237010502;dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=;gdpr=$—Transcript: ⁠https://www.lennysnewsletter.com/p/the-making-of-canva⁠⁠—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/176082995/my-biggest-takeaways-from-this-conversation—Where to find Melanie Perkins:• X: https://x.com/melaniecanva• LinkedIn: https://www.linkedin.com/in/melanieperkins/—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 Melanie Perkins and Canva(04:44) Building a “column B” company(06:36) Operationalizing big visions(13:13) Crazy big goals and celebrations(22:00) Challenges and setbacks in Canva's journey(26:30) Fundraising and investor rejections(29:36) Leadership and growth lessons(34:38) Canva's goal-driven structure(35:46) Balancing work and personal life(38:02) Community-driven product development(40:37) The two-step plan for global impact(45:04) Canva's biggest launch yet(48:10) How Canva approaches product expansion(52:37) AI integration in Canva(53:56) AI corner(55:22) Melanie's vision for 2050 and beyond(01:00:07) Lightning round and final thoughts—Referenced:• Canva: https://www.canva.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Building high-performing teams | Melissa Tan (Webflow, Dropbox, Canva): https://www.lennysnewsletter.com/p/building-high-performing-teams-melissa• UserTesting: https://www.usertesting.com/• Figma: https://www.figma.com/• Adobe: https://www.adobe.com/• Calm: https://www.calm.com/• Gandhi's quote about happiness: https://www.brainyquote.com/quotes/mahatma_gandhi_105593• Help us improve Canva: https://www.canva.com/help/get-in-touch/general-feedback/—Recommended books:• Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration: https://www.amazon.com/Creativity-Inc-Expanded-Overcoming-Inspiration/dp/0593594649/• The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses: https://www.amazon.com/Lean-Startup-Entrepreneurs-Continuous-Innovation/dp/0307887898/• The Power of Moments: Why Certain Experiences Have Extraordinary Impact: https://www.amazon.com/Power-Moments-Certain-Experiences-Extraordinary/dp/1501147765• Designing the Obvious: A Common Sense Approach to Web and Mobile Application Design: https://www.amazon.com/Designing-Obvious-Common-Approach-Application/dp/0321749855—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

It's spooky season, and Midjourney's acting possessed — new UI, style creator, and a personalization trick you weren't supposed to find.Drew and Rory break down why Midjourney's entire system is quietly evolving—from Style Creator and V6 personalization inside V7 to what V8 might unlock. They also unpack Figma's surprise grab of Weavy, Adobe Max's wild AI experiments, and Google's Pomelli quietly rewriting ad generation. This episode connects the dots: how personalization, node-based canvases, and real creative workflows are converging into one massive shift.Topics: Midjourney V8, Style Creator, personalization, V6 profiles, V7 update, Weavy Figma acquisition, Adobe Max AI, node workflows, Pomelli AI ads, Magnific Precision V2, creative OS, AI image generation, design evolution, Google Pomelli---⏱️ Midjourney Fast Hour00:00 – Halloween cold open, 80s kid-movie nostalgia (Stranger Things, Sandlot, Little Giants)04:18 – AI → physical: tees, stickers, and print-on-demand in minutes06:05 – Midjourney Office Hours: UI first, then V8; timing shifts to Jan-Feb range07:45 – New UI before V8; hopes and fears about “chatty” editors09:28 – Style Creator incoming; sharing styles like SRF codes; what creation might look like12:17 – Editing wishlist: Nano-style natural-language edits, object/text consistency14:01 – Character & product consistency: why keyframes still morph and how to fix it15:32 – Typography rant: fonts, spacing, and why AI text still isn't there yet20:21 – Live unlock: using V6 profile codes inside V7 (and what counts as an “image”)28:07 – Upscale behavior confirmed; where Magnific/Topaz still help33:31 – Magnific Precision V2: Sublime vs Photo; smart grain and practical settings37:13 – Weavy → Figma: why a 13-person team got acquired in 4 months40:00 – Aggregator era: Runway, Freepik, Adobe, node canvases, and UX moats44:23 – Adobe Max recap: node workflows, Surface/Trace/Light tools, image→3D, camera moves51:10 – Live lighting tweak (Light Touch) and perspective shifts; finishing vs. generation1:01:33 – AI → physical again: Womp and useful 3D prints (beyond desk toys)1:04:18 – Google Pomelli: drop a URL, get brand-on-voice ad concepts fast1:10:04 – T-shirt workflow: face/style refs → Printify in ~1 hour1:16:28 – Wrap: “weeks are short” in AI; Midjourney says V8 is their most exciting yet

This Week's Topics: Parents out on school's use of AI, surveillance Figma acquires AI-media generation company Grokipedia launches with AI-clone of Wikipedia Episode's chat: https://britishtechnetwork.com/chat/view.php?dt=2025-10-30 Guests: Jeff Gamet, Patrice Brend'amour #podcast #technology

This Week's Topics: Parents out on school's use of AI, surveillance Figma acquires AI-media generation company Grokipedia launches with AI-clone of Wikipedia Episode's chat: https://britishtechnetwork.com/chat/view.php?dt=2025-10-30 Guests: Jeff Gamet, Patrice Brend'amour #podcast #technology

As companies grow and rely more on technology, they often lose the close connection they once had with customers. This "scaling paradox" creates a distance between business leaders and genuine customer feedback, while frontline teams, who interact with customers daily, are often overlooked. That disconnect makes it harder for your business to stay competitive. In this episode of Doing CX Right®, Stacy Sherman talks to Michael Nguyen, who leads Customer Intelligence at Enterpret and has held key roles at Asana and Figma, about how to turn customer complaints into opportunities for loyalty and profitable growth. You'll learn how modern feedback systems and AI reveal patterns in what customers think and feel, which enables leaders to make smarter, faster business decisions. Michael shares examples from companies he works with, like Canva, that show how "closing the loop" by listening, responding, and learning from every customer drives measurable impact. Listen now to discover proven ways to transform customer pain into your most powerful driver of innovation and success. Learn more at DoingCXRight.com and subscribe to the newsletter for more actionable strategies. Book time with Stacy here.

Today's show:*Amazon's dropping a LOT of employees for AI and robots… are Jason's darkest predictions coming true?Legendary investor Elad Gil joins Jason and Alex for the full show today! Together, they're digging into the Amazon news, looking back at Jason's predictions from just last month, and theorizing about just how many people will lose their jobs to computers, and what we're going to do about it. (Is it possible the US hasn't been massively hit by job displacement so far because those gigs already moved overseas?)PLUS… Anthropic's Dario Amodei responds to criticisms from JCal's bestie David Sacks, Sesame emerges from stealth to work on AI wearables, and where will people in the future interact with their favorite apps? A headset? Phones? Somewhere else? The great debate continues.Timestamps:(00:04:04) Our guest is iconic angel investor Elad Gil! What's he working on…(00:04:54) Alexandria AI translates public domain books into all commonly spoken languages… Do people actually prefer AI translations?(00:09:16) Why compute tends to centralize over time… (It's because of economies of scale!)(00:09:29) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(00:12:49) So are we building TOO MANY datacenters? Will AI apps eventually run on your phone anyway?(00:16:39) Jason says “The Age of Efficiency is upon us.”(00:19:24) When companies trade inference for market share(00:19:27) Sentry - New users get 3 months free of the Business plan (covers 150k errors). Go to http://sentry.io/twist and use code TWIST(00:21:57) Why one of the main challenges of adopting AI is buy-in and convincing teams to use it.(00:25:47) Elad's robotics questions: (1) What % of winners will be incumbents?(00:27:50) Jason called the Amazon news last month and we have the receipts!(00:29:36) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first yea(00:45:33) Jason says Adobe and Figma should abandon the UK entirely.(00:45:55) Time for a Polymarket: The sharps say 80% chance Tesla beats their quarterly earnings(00:51:02) What is Sesame? They just emerged from stealth, they raised $250M, and they're working on AI wearables.(00:53:21) Jason has concerns about AI wearables that are always recording… Does Elad share these concerns?(01:03:17) The crypto industry is now one of the largest purchasers of US government debt… what does that mean? Who owns who?(01:08:53) Anthropic responded to JCal's Bestie David Sacks… Is Dario Amodei a doomer? Fearmongering?(01:19:12) Why Jason thinks AI companies need to self-regulateSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWISTSentry - New users get 3 months free of the Business plan (covers 150k errors). Go to http://sentry.io/twist and use code TWISTPilot - Visit https://www.pilot.com/twist and get $1,200 off your first yeaGreat TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Show DescriptionBen's got an updated edition of his book, Responsive Web Design with HTML5 and CSS, to chat about as well as how much AI is being inserted into writing, layers, scope, color contrast vs contrast color, shouldn't AI bots pay for data they slurp, iFrames permissions issues in Chrome, anchor positioning, and where have all the bloggers gone? Listen on WebsiteWatch on YouTubeGuestsBen FrainGuest's Main URL • Guest's SocialI write web development books, make online courses, and publish YouTube videos. Links Ben Frain – author and web developer Responsive Web Design with HTML5 and CSS available at Amazon benfrain (GitHub) Ben Frain - YouTube JavaScript for Everyone - Piccalilli BCD Watch SponsorsAtomic Design Certification CourseMaster tokens AND atomic design to elevate your design systems game. Get access to both courses, which include hours of comprehensive video lessons, sample token architecture for Figma & Code, process diagrams, exercises, and exclusive Slack!

Dylan Field is co-founder and CEO of Figma, a beloved tool used by every modern product team. Founded in 2012, Figma has expanded from a single design tool to a comprehensive platform including FigJam, Slides, Dev Mode, and, most recently, Figma Make. After a $20 billion acquisition by Adobe fell through due to regulatory pushback, Dylan led the company to a successful IPO in 2025.What you'll learn:• How Dylan kept internal morale up after the Adobe acquisition fell through• His approach to maintaining pace and a sense of urgency 13 years in• How to systematically develop taste• How Figma decides which product lines to add• Why Dylan obsesses over “time to value”• How AI is making design more valuable—Brought to you by:Stripe—Helping companies of all sizes grow revenue—Transcript: ⁠https://www.lennysnewsletter.com/p/why-ai-makes-design-craft-and-quality-the-new-moat⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/175569466/my-biggest-takeaways-from-this-conversation⁠—Where to find Dylan Field:• X: https://x.com/zoink• LinkedIn: https://www.linkedin.com/in/dylanfield/—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 Dylan Field(03:58) The Adobe deal fallout(05:50) Maintaining team morale post-deal(09:13) Strategies for sustaining high performance(13:37) Maintaining Figma's unique company culture(16:22) Dylan's leadership evolution(21:03) How to improve clarity as a leader(24:40) The controversy behind FigJam(31:06) Lessons from expanding Figma's core product line(39:32) Time-to-value(45:14) Introduction to Figma Make(48:26) AI app prototyping and the future of Figma Make(53:38) Lessons from Figma's AI product launch(57:47) The importance of craft(59:54) Developing good taste(01:05:35) The future of product development(01:10:32) Why AI won't steal your job(01:14:37) AI corner(01:18:32) Lightning round and final thoughts—Referenced:• Dylan Field live at Config: Intuition, simplicity, and the future of design: https://www.lennysnewsletter.com/p/dylan-field-live-at-config• Figma: https://www.figma.com/• Adobe: https://www.adobe.com/• Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product at Figma): https://www.lennysnewsletter.com/p/vision-conviction-hype-mihika-kapoor• Notion's lost years, its near collapse during Covid, staying small to move fast, the joy and suffering of building horizontal, more | Ivan Zhao (CEO and co-founder): https://www.lennysnewsletter.com/p/inside-notion-ivan-zhao• $46B of hard truths from Ben Horowitz: Why founders fail and why you need to run toward fear (a16z co-founder): https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz• FigJam: https://www.figma.com/figjam/• Cursor chat: https://help.figma.com/hc/en-us/articles/4403130802199-Use-cursor-chat-in-Figma-Design• Figma Slides: https://www.figma.com/slides/• Figma Sites: https://www.figma.com/sites/• Figma Buzz: https://www.figma.com/buzz/• Figma Draw: https://www.figma.com/draw/• Figma Design: https://www.figma.com/design/• Dev Mode: https://www.figma.com/dev-mode/• Figma Make: https://www.figma.com/make/• Zach Lloyd on X: https://x.com/zachlloydtweets• Warp: https://www.warp.dev/• Dylan's post on X about Figma on an AI product leaderboard: https://x.com/zoink/status/1968588014935801884• Kurt Cobain: https://en.wikipedia.org/wiki/Kurt_Cobain• Damien Correll on LinkedIn: https://www.linkedin.com/in/damiencorrell/• Marcin Wichary on LinkedIn: https://www.linkedin.com/in/mwichary/• Loredana Crisan on LinkedIn: https://www.linkedin.com/in/loredanacrisan/• Amber Bravo on LinkedIn: https://www.linkedin.com/in/amberbravo/• Figma's 2025 AI report: Perspectives from designers and developers: https://www.figma.com/blog/figma-2025-ai-report-perspectives/• Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox#Energy_conservation_policy• AI prompt engineering in 2025: What works and what doesn't | Sander Schulhoff (Learn Prompting, HackAPrompt): https://www.lennysnewsletter.com/p/ai-prompt-engineering-in-2025-sander-schulhoff• Pantheon: https://www.imdb.com/title/tt11680642/• Retro: https://retro.app/• Thiel Fellowship: https://thielfellowship.org/—Recommended books:• Understanding Comics: The Invisible Art: https://www.amazon.com/Understanding-Comics-Invisible-Scott-McCloud/dp/006097625X• The Spy and the Traitor: The Greatest Espionage Story of the Cold War: https://www.amazon.com/Spy-Traitor-Greatest-Espionage-Story/dp/1101904216• Codex Seraphinianus: https://www.amazon.com/Codex-Seraphinianus-Anniversary-Luigi-Serafini/dp/0847871045Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

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Figma burst into the public eye in 2022 after Adobe was blocked from buying the design startup for $20 billion. This chapter set the stage for an even bigger milestone at Figma: a splashy IPO this summer at nearly double that valuation. Dylan Field, Figma's co-founder and CEO, joins Rapid Response to share what distinguishes Figma from competitors, and why design is increasingly at the center of every industry in today's software-driven economy. Field also reflects on the pressures and opportunities of leading as a next-generation, tech-native CEO, and offers practical advice on upskilling in an AI-powered world.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.