Podcasts about ui ux

Shalimdar quit his 9-to-5 as a UI/UX designer, went full-time freelance, and hit a new income high. The problem? He's working more hours than ever—and still doesn't feel like he owns his time. Preston and AJ Cassata from Revenue Boost dig into exactly why this happens and walk through a practical framework for diagnosing where your time is actually going, what to cut, what to automate, and what to hand off—so you can stop trading every hour for a dollar and start running your business like a founder. Links: Support our show sponsors -> ⁠⁠https://freelancetofounder.com/sponsors⁠⁠ Submit your own question -> ⁠⁠https://freelancetofounder.com/ask⁠ Attend The "10X Your Freelancing" Summit -> ⁠⁠https://10XFreelance.com⁠⁠ (FREE) Learn more about your ad choices. Visit megaphone.fm/adchoices

# TEMA LA ERA DE LA UI/UX AGÉNTICA con Paco Corrientes# PRESENTA Y DIRIGE 

Konuklar: Tuğba Yurtsever Kara, Eren Dengiz, Gizem Çelikoğlu, Merve Yılmaz Ulaş, Mine Merih Önal 92. bölümümüzde konuğumuz Storefront UI/UX ekibi oldu. Ekip yapısını, projelerini, teknoloji stack seçimlerini ve çok daha fazlasını konuştuk! Trendyol Talks'da Trendyol'daki kültürümüzü, kültürümüzden beslenen iş yapış biçimlerimizi ve ritüellerimizi konuşuyoruz. Trendyol Talks podcast kanalımızı takip etmeyi unutmayın!

Godforge Beta is giving players a lot to test — from starter hero choices and Faith vs Speed builds to UI/UX flow, spirit management, and camera options. In this episode, Jacek and Misstical share their beta experiences while Dirk and Brad discuss what is working, what needs polish, and how player feedback is shaping the game. Fateless is a dynamic game studio founded by passionate content creators Simon Lockerby (Hellhades), Dan Francis (Phixion), and Hisham Saleh (Sham). Our mission is to create community-driven, immersive RPG Hero Collector games that emphasize player agency, storytelling, and strategic gameplay. Join us as we share our journey from concept to launch and beyond.Support the show

Nu AI een behoorlijk impact aan het maken is op ons werk als webdesigners, UI/UX designer etc. Is het goed om na te denken over hoe je verschillende verdienmodellen in je bedrijf kunt intergreren, zodat je altijd iets hebt om op terug te vallen als projecten uit blijven. Steeds vaker hoor je men praten over een "Paid Discover". Maar wat is dat? Werkt het voor iedereen? En hoe richt je zoiets in, waar wordt je dan precies voor betaald? Dat hoor je in deze podcast aflevering. ----------------------------------------------------------------Heb jij mijn boek al? Bestel hier jouw exemplaar van "Word een Webdesign Master".----------------------------------------------------------------Meer van dit soort tips? Schrijf je gratis in voor de Webdesign Insights: www.opleidingvoorwebdesigners.nl/webdesign-insights/ Volg mij ook op social media
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Stewart Alsop sat down with Michael Shackelford to discuss their experiences building applications through vibe coding—the practice of using AI to create software without traditional programming expertise. Stewart, who runs the AI Whispers community in Buenos Aires and hosts the Crazy Wisdom podcast (with over 660 interviews), shared how he went from teaching people prompt engineering to building his own video conferencing software as a Riverside.fm replacement, while Michael opened up about his year-long journey creating Genrupt Inc, an AI-powered content generation tool for e-commerce sellers. The conversation covered everything from the decline in quality of Claude's reasoning capabilities and how Chinese companies used distillation attacks to copy Anthropic's models, to the importance of spaced repetition systems for managing knowledge in the age of LLMs, with both sharing battle-tested prompting strategies like asking AI to "explain it to me in genius terms" and using deep research queries to reverse engineer how competitors build their products.Show Notes:- Dan Martell's book "Buy Back Your Time" was mentioned as one of the best business books for thinking about life and business- Check out John Vervaeke's "Awakening from the Meaning Crisis" for understanding relevance realization and why AI fundamentally cannot determine what's relevant to humans without being toldTimestamps00:00 Michael discusses being exhausted from getting his app ready for launch, working nonstop with AI to prepare landing page for podcast traffic driving beta signups05:00 Stewart explains starting AI Whispers in Buenos Aires after leaving OpenAI vendor company, meeting early adopters like Torin who was building mind-reading EEG technology10:00 Discussion of how corporations resist AI adoption due to political games and job security fears while some companies use AI as excuse for pandemic-era layoffs15:00 Stewart describes teaching workshops on using LLMs as linguistic tools rather than coding tools, noting technical people often lack humanities background needed for prompting20:00 Explaining chatbot wrappers, API calls, and how Anthropic's reasoning quality declined after Chinese distillation attacks copied their secret sauce developed with philosophers25:00 Technical discussion of model training, fine-tuning versus RAG for new information, and different approaches to updating AI knowledge beyond initial training30:00 Stewart describes building podcast recording software to replace expensive Riverside, struggling with syncing audio and video files across different computer clocks35:00 Discussion of critical factors in vibe coding, discovering unknown technical requirements, and how AIs don't automatically reveal missing information40:00 Stewart's reverse engineering process using deep research function to study competitors' hiring and technology stacks, separating planning agents from coding agents45:00 Prompting techniques including "explain like I know everything" and using spaced repetition systems to capture valuable prompts and technical knowledge50:00 Michael explains his Generux app for generating ecommerce content using Amazon review data analysis to inform high-converting listing images and videos55:00 Discussion of founder mentality involving self-delusion about project timelines, Michael working nine-plus hours daily for nine months on app development60:00 Comparing Amazon's expert software to prosumer software approach, discussing distribution challenges and future robotics applications for customized products65:00 Stewart demonstrates spaced repetition app for memory improvement and knowledge retention, explaining relevance realization problem that AI agents cannot solve without embodimentKey Insights1. Stewart Alsop started AI Whisperers in Buenos Aires after leaving his role at Invisible Technologies, which was OpenAI's largest vendor for RLHF work. He noticed that machine learning engineers at tech companies lacked the humanities background needed to properly interact with large language models, which are fundamentally linguistic tools. This led him to create weekly workshops teaching non-technical people how to use AI effectively, running events every Thursday for two years straight. The group attracted intense geeks from the start and eventually led to Stewart speaking right after Vitalik Buterin at DevConnect, marking a significant milestone for the community.2. Large corporations are resistant to AI adoption due to multiple factors including political dynamics within organizations and employees fearing job loss. Many companies that grew during the pandemic are now using AI as an excuse to downsize when the real issue is inefficiency from rapid expansion. Stewart observed that even technical people in machine learning often don't understand how to properly use AI tools because they lack linguistic and humanities training. The fundamental problem is educational, requiring companies to train people how to use these new tools while those same people resist learning them.3. Vibe coding has evolved significantly with Claude Code being a game changer that reduced the technical barrier to entry. Before Claude Code, developers needed substantial technical knowledge to work through constant doom loops and debugging cycles. The success of coding AI tools stems from thirty years of testing infrastructure that provides clear yes or no feedback on whether code works. This infrastructure doesn't exist in the same way for manufacturing, science, and other fields, which is why software became the dominant area for AI assistance initially.4. Claude's quality degradation over recent months resulted from multiple factors including distillation attacks by Chinese companies who reverse engineered Anthropic's reasoning capabilities. Anthropic had hired philosophers, sociologists, and psychologists to develop exceptional reasoning in Claude 4.5, but this was expensive to run. When Chinese models like Kimi copied these capabilities at one tenth the cost, and when mainstream users flooded the platform before Anthropic's planned IPO, the company had to reduce quality to manage computational costs. This represents a significant loss for power users who relied on Claude's superior reasoning abilities.5. Stewart built a podcast recording application to replace Riverside because he needed API access to automate workflows, which Riverside wanted one thousand dollars monthly to provide. The technical challenge involves syncing audio and video from local recordings on multiple computers with different clocks through a server, then merging them so voices match lip movements. This problem requires understanding complex timing issues across different network conditions and file formats. Stewart has been working through AI psychosis for months on this FFMPEG pipeline problem, illustrating how vibe coding still requires building intuition about technical problems even without traditional coding knowledge.6. The transition from expert software to prosumer software represents a major opportunity for AI-enabled tools. Expert software like Photoshop, Blender, and terminal interfaces have extreme complexity that intimidates beginners, but AI is making these capabilities accessible through natural language. The reign of specialists is ending as generalists with broad knowledge and curiosity can now build complete applications by leveraging AI to fill technical gaps. This shift particularly benefits entrepreneurs and founders who specialize in getting into difficult situations and figuring them out, even when they originally thought tasks would be easier than they turned out to be.7. Building applications with AI requires accepting massive time investments beyond initial estimates and developing strategies for overcoming knowledge gaps. Michael estimated his ecommerce content generation app would take months but spent nearly a year working over nine hours daily, while Stewart spent months solving audio-video sync issues. Success requires using tools like deep research to understand how competitors solve problems, maintaining separate planning and coding agents, and learning to ask the right questions. The key insight is that vibe coders can achieve ninety percent of functionality independently, but the final ten percent often requires understanding specific technical concepts that AI cannot intuit without proper context and domain knowledge.

Dan Nathan hosts David Schamis (CEO, Hyperliquid Strategies) and Jeroen Nieuwkoop (COO, Hyperliquid Strategies) to explain Hyperliquid, a three-and-a-half-year-old L1 blockchain built for high-throughput exchange activity and best known for perpetual futures trading. They discuss how Hyperliquid aims to be an “AWS of on-chain trading,” enabling permissionless exchanges like Trade XYZ to list perps on assets such as major U.S. equities, gold, silver, and oil, and why decentralized custody, speed, and UI/UX differentiate it from prior DEXs. They outline HYPE tokenomics, including using ~99% of protocol fees for token buybacks and burns, and define perp pricing via funding rates. The conversation covers U.S. regulatory constraints, Hyperliquid Strategies' Nasdaq-listed DAT (PURR) formed via reverse merger to provide U.S. access to HYPE exposure, and emerging use cases like pre-IPO perps (e.g., SpaceX) for 24/7 price discovery. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Before you build your app in 2026, watch this.

Quand on commence à développer un jeu vidéo en indé, le problème n'est pas le manque de ressources. C'est l'inverse : tutos, outils, packs d'assets, guides marketing, bases de données Steam, simulateurs de palettes accessibles… tout existe, mais éparpillé sur des dizaines de sites, de fils Twitter et de threads Reddit. Beaucoup de contenus précieux passent inaperçus, et on se perd avant même d'avoir ouvert son moteur.C'est ce constat qui a poussé Jessie Chica, community manager arrivée dans l'industrie du jeu vidéo, à lancer Pick'n Craft : une archive croissante de plus de 50 outils, guides et assets pour les créateur·trices indépendant·es, classés par discipline : art, dev, game design, narrative design, sound design, UI/UX, producing, marketing.On parle avec elle de la genèse du projet, de sa méthode pour qualifier une ressource et de ce qu'elle a appris en travaillant aux côtés de devs indés.Liens :https://pickncraft.com/https://www.linkedin.com/in/jessiechica/https://www.instagram.com/saikasouls/Pour nous suivre : https://linktr.ee/pointnthinkDiscord de Point'n Think : https://discord.gg/UGbMN8u3dXHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

QuickBooks Online is retiring Classic Reports on May 22nd, and Hector Garcia is back to make sure Intuit is listening. He crowd-sourced a massive feedback thread from the accounting community and walks Alicia through what's still broken in Modern Reports — from PDF formatting and Excel export issues to drill-down behavior, column sorting, and features gated behind the Advanced SKU. Both hosts are rooting for Modern Reports to succeed, and this episode is their detailed, direct message to Intuit on what needs to get done before the deadline hits.Sponsors:Fishbowl  - http://uqb.promo/fishbowl(00:00) - Welcome to the Unofficial QuickBooks Accountants Podcast (00:31) - Classic reports sunset (02:18) - Community feedback roundup (04:41) - Canny board and priorities (06:17) - PDF header order debate (09:54) - Shading and subtotal lines (14:46) - Advanced only report features (20:56) - Comparative columns control (22:34) - Excel export pain points (26:46) - Big data export limits (30:01) - UI UX drilldown quirks (34:42) - Bookmarking report URLs (37:02) - Fonts zoom and columns (39:09) - Scrolling and laptop reality (41:17) - Better Monitor Setup (41:59) - Default Columns Chaos (44:11) - Drilldown Workflow Fixes (48:29) - Missing Report Toggles (50:08) - Sorting and Grouping Bugs (54:01) - Reports We Still Need (56:24) - Transaction Totals Polarity (58:34) - May 22 Survival Plan (01:07:53) - Right Tool and Enterprise Suite (01:09:31) - Reframe Event and AI Reality (01:13:30) - Dates and Practical Takeaways (01:14:57) - Wrap Up and Next Steps LINKS4/28/26: Converting from QBDT to QBO: http://royl.ws/QBDT2QBO?affiliate=53939075/12/26: QBO Ledger: http://royl.ws/ledger?affiliate=53939075/19/26: QBO Solopreneur: http://royl.ws/QuickBooks-SelfEmployed?affiliate=53939075/26/26: QBO Advanced: http://royl.ws/QBO-Advanced?affiliate=53939076/2/26: Intuit Enterprise Suite: http://royl.ws/intuit-enterprise-suite?affiliate=53939076/9/26: Intuit Accountant Suite: http://royl.ws/QBOA?affiliate=5393907Hector's RightTool.app best add-on for QuickBooks Online via a Chrome Extension, designed by Hector Garcia(Use code ROYALWISE for a discount when you upgrade to PRO)ReframeAccounting.com REFRAME 2026: Innovate Advisory (IA); flipping the AI narrative… join us in November 5-7, 2026 in Miami for the best event you will ever attendWe want to hear from you!Send your questions and comments to us at unofficialquickbookspodcast@gmail.com.Join our LinkedIn community at https://www.linkedin.com/groups/14630719/Visit our YouTube Channel at https://www.youtube.com/@UnofficialQuickBooksPodcast?sub_confirmation=1 Sign up to Earmark to earn free CPE for listening to this podcasthttps://www.earmark.app/onboarding 

"Building with native capabilities allows us to create an optimised experience. It reduces dependency on third-party apps, ensuring better performance and flexibility to adapt as business needs evolve. This approach empowers us to maintain control over the user experience and make dynamic changes without being constrained by external limitations." Michael Klim, Co-founder & CTO at Commerce-UI.ABOUT THIS EPISODE:What drives a business to replatform varies; from current platform constraints, to changing business operational needs and onerous running costs. Project complexity also varies, depending on the size of business, systems architecture, business processes and geographical spread. However, all projects share common challenges, including the need to unearth how a business really works and build a solution that delivers on functional and operational needs whilst being usable and fixing known issues, all within an acceptable cost model. To achieve this clarity is required, and businesses and their agency partners need to make compromises to deliver the project within agreed guardrails.This podcast explores how Commerce UI took a brief from Lupine's CEO to rebuild everything, unify everything & rebrand everything across a hybrid DTC and B2B business, and collaborated with the client to build a viable solution based on detailed analysis of the wider business needs for ecommerce.We focus on the process Commerce UI and Lupine went through to achieve project goals, not the platform they chose.What you can expect:Replatforming challenges: every project is unique, with different technology decisions and complexities. Common challenges include change management and making compromises for optimal outcomes.Discovery process: a thorough discovery process is crucial, involving understanding branding, digital UI/UX and operational improvements. This helps align the technical solution with the brand's vision.Front-end decision-making: choosing between headless and theme-based solutions depends on team composition, future plans and specific project needs. A theme was chosen for its B2B advantages and design flexibility.B2B Capabilities: Shopify is evolving in the B2B space, offering open APIs and tools like Shopify Flow for custom logic, though it doesn't yet match enterprise-grade solutions.UI/UX Considerations: balancing the needs of D2C and B2B users requires distinct approaches, as each group has different intents and requirements.Product Configuration: Using native tools like metaobjects allows for flexible and scalable product configurations, reducing dependency on third-party apps.Change management: successful projects require managing client-side change, as new systems alter team operations and expectations.Get inbox alerts when new episodes drop: https://insidecommerce.us11.list-manage.com/subscribe?u=ab993353c2b4b829879d3553d&id=07d636b707

"Not a creative"?

This week, we recap what we saw and heard at the 2026 NAB Show, covering themes, content, the West Hall exhibit floor and what speakers presented at the Streaming Summit. We highlight some of the topics discussed most, including sports, workflow orchestration, MOQ, scaling live events, multiview, UI/UX, and how AI tech is being implemented into the video stack. I also cover what I want to improve at the Streaming Summit next year, what exhibitors can do to improve their messaging and booth presence, and where we both see room for improvement in the attendee experience.Podcast produced by Security Halt Media

จะเป็นอย่างไร หากเครื่องมือที่เราใช้สร้างอาชีพมาตลอด กำลังจะถูกทำลายลงในชั่วข้ามคืน? เมื่อ Anthropic เพิ่งเปิดตัว Claude Design แพลตฟอร์ม AI ล่าสุดที่สามารถเสกหน้าแอปพลิเคชันที่โต้ตอบได้จริงขึ้นมา โดยที่ผู้ใช้ไม่จำเป็นต้องเปิดโปรแกรมออกแบบใดๆ ขึ้นมาเลยแม้แต่นิดเดียว การปรากฏตัวของมัน ทำเอาหุ้นของ Figma ร่วงลงถึง 7 เปอร์เซ็นต์ภายในไม่กี่ชั่วโมง ผู้บริหารระดับสูงของ Adobe ถึงกับนั่งไม่ติด และบีบบังคับให้นักออกแบบทั่วโลกต้องรีบเปลี่ยนชื่อตำแหน่งตัวเองใน LinkedIn ไปเป็น Prompt Engineer ความสามารถของ Claude Design น่ากลัวขนาดไหน และนี่จะเป็นการตอกฝาโลงปิดฉากอาชีพนักออกแบบ UI/UX แบบเดิมไปตลอดกาลหรือไม่ เรื่องราวนี้เป็นอย่างไร จะเล่าให้ฟัง เลือกฟังกันได้เลยนะครับ อย่าลืมกด Follow ติดตาม PodCast ช่อง Geek Forever's Podcast ของผมกันด้วยนะครับ #ClaudeDesign #Anthropic #Opus47 #Figma #AIออกแบบ #อวสานนักออกแบบ #จุดจบUIUX #ข่าวเทคโนโลยี #ปัญญาประดิษฐ์ #PromptEngineer #เทรนด์AI #สร้างแอปด้วยAI #สายเทค #เครื่องมือAI #ข่าวไอที #geekdaily #geekforeverpodcast 

Based on the book The Accidental Billionaires with a screenplay by Aaron Sorkin and directed by David Fincher, The Social Network is a dramatization of Facebook's founding. The fictional story shows the grit, tenacity, and ruthlessness of its creators. Guests Scott Amyx and Cameron Tau talk about the movie, and how Facebook has caused disruptions impacting people at a very human level, resulting in isolationism and addiction, damaging mental health. But Uplifty aims to do something very different, helping people build relationships.-Scott Amyx is a global innovation expert, venture capitalist, and futurist focused on the intersection of humans and exponential technologies. He is the Founder and CEO of Uplifty, where he builds platforms to enhance human connection in an increasingly automated world, and Chair and Managing Partner at Astor Perkins, a deep-tech and sustainability venture firm. A Harvard Business Review Advisory Council Member, TEDx speaker, and author, Scott has advised governments, Fortune 500s, and startups on breakthrough innovation, smart cities, and the future of work. His work combines cutting-edge technology with human-centered strategies to help people and organizations thrive in the Fourth Industrial Revolution.https://uplifty.ai/about-us/ https://astorperkins.com/ Strive: How Doing The Things Most Uncomfortable Leads to Success by Scott Amyxhttps://amzn.to/4sU2elb -Cameron Tau is a UX and product design professional with a background in psychology, marketing, and data analytics. She served as a UI/UX team lead at Uplifty, driving the app's wireframes and overall user experience while integrating user-centered design principles. Skilled in user research, prototyping, and data-driven decision making, Cameron has created high-fidelity designs that enhance usability and engagement across digital platforms. Her work combines design thinking with analytical insights to deliver seamless and impactful user experiences.https://uplifty.ai/about-us/ -Upliftyhttps://uplifty.ai/ https://www.instagram.com/upliftyai/ -The Social Network (2010)https://www.imdb.com/title/tt1285016/https://youtu.be/lB95KLmpLR4?si=vKPKWSVjCNTHxulx -The Accidental Billionaireshttps://amzn.to/4tJ6a8T -Social media and recent fallouthttps://www.bbc.com/news/articles/c747x7gz249o https://www.bbc.com/news/technology-68161632 https://lite.cnn.com/2026/03/25/media/meta-google-social-media-verdict-advocates

Piyush Jain, Founder and CEO of Simpalm and co-founder of Ducknowl, is on a mission to solve real-world challenges by combining technology and entrepreneurship. With over 15 years of experience building custom software solutions, Piyush helps businesses turn complex ideas into practical applications by blending technical depth, business acumen, and a strong problem-solving mindset. We explore Piyush's AI Ideation Framework—Validate idea, Proof of concept, Design, Competitor analysis, and Feature selection—a practical approach to building software in the post-AI era. Piyush explains how AI can help teams better understand user personas, validate product assumptions, and rapidly prototype ideas, while human expertise remains essential in design, architecture, and production-grade development. He also shares how prompt engineering, peer-reviewed prompting, and a right-shoring delivery model can help businesses build smarter, faster, and more cost-effectively. — 3D Print Your Software with Piyush Jain Good day, dear listeners. Steve Preda here with the Management Blueprint, and my guest today is Piyush Jain, the Founder and CEO of Simpalm, a custom software development company, and the co-founder of Ducknowl, a candidate screening and assessment application business for high-volume recruiting. Piyush, welcome to the show.  Thank you, Steve. Thanks for inviting me.  Well, I’m very curious about the stuff that you have to share with us, and I’d like to ask first about your personal purpose. What is your “why,” and how are you manifesting it in your business?  Yeah, so that’s a very interesting question. And I think for every entrepreneur or tech founder, really, that's the motivation—why you want to do certain things. So for me, if I look at it, my personal “why” is: why are we not solving challenges? Or why are we not solving them the right way? Why are we not transforming our lives? I grew up in India and then came to the US, so I've seen many different parts of the world—from Asia to North America. I see people face different challenges, but then we are not focusing on solving those problems. A lot of it I see is there’s a lot of challenges in the world because I believe there are not enough entrepreneurs. Because entrepreneurs are the ones who really take risks, combine everything, and create solutions. That was like me, right? That’s what I learned growing up, that I think I can do that, right? I can combine the technical knowledge and the business acumen and create solutions that people like, solve their challenges. Growing up, like I'm more on the technical side.Share on X I was inclined more toward science and technology, but then as I got into my undergrad and grad school, I realized that I have that entrepreneurship aspect, but it's still around science and technology. That’s when I realized that, you know what, I cannot be a pure scientist or maybe a pure entrepreneur, but I can be someone who can combine these two, because my main driving factor is problem-solving. I can combine these two and then live my life, be very happy with what I do. That has been my motivation. I like it. So solving challenges and being an entrepreneur, and kind of combining the two—being the technical expert and the entrepreneur in one. Now, one of the things that we always talk about on this podcast is frameworks. And you have developed a really good one for AI ideation, which I think is something that everyone needs to do these days or use these days, and it helps you create business apps and other business applications. Can you share with me how that framework works, and what are the steps in it?  Sure, yeah, definitely. So just to give you a brief background, we've been building software for the last 15 years. Some companies have used different frameworks, whether it's Agile or Waterfall in SDLC, in building the software, right? There are different methodology that companies have used, and they've been good, successful—they've played their role. But now, with the advent of AI, things have changed. We had to figure out, in our organization, how to use AI, and that's how this framework was built. My team helped me building this framework as well.Share on X But we realized that we were losing business—we were losing clients—since we didn't have an AI framework that would fit our clients. Again, for me, it's a challenge. So anytime I see a challenge, it create brain juice in me, right? So I said, okay, let's figure out how we create this framework. How did you do it?  So really, we built this framework—very interesting. A lot of the steps are similar, but then a lot of things are different.Share on X Whenever client comes to us and says, “Hey, we want to solve this challenge,” what we do is we do enough research. And now we use a lot of AI tools to really understand the problem better and understand the user persona. When you build any software application, there is a person who's going to use that. Sometimes we used to do user research or focus studies to understand that. Now, with the help of AI, we can get a lot of ideas about the user persona. For example, maybe we are building a healthcare application for an anesthesiologist. I don’t know much about that. I know, I mean, because I have been through some medical surgery and all that, but I can't fully understand their user persona or their requirements with respect to the application we're building. But now, with AI, I can actually ask different AI models, “Hey, we are building this app for anesthesiologists. What are their pain points? How would they see it?” So all that deeper mindset and psychology we can get using AI.  You are validating the idea by interrogating AI applications.  What users are going to like and all that. So I will always use this term earlier. In software engineering, now we have this pre-AI and post-AI, right? If you read history, we talk about before Christ and after Christ, right? Yeah. So it's a similar thing now. Yeah, exactly. Or before Covid, after Covid. Before AI, after we did all the user research and everything and created a requirements document, we would usually do design, create like a visual design of the software. But now, with the AI framework, we don't do that. That's not the next step. What we do instead is create a quick prototype using AI platforms.Share on X  So there are a lot of AI platforms—like Lovable, Claude. Now ChatGPT launched Codex for coding, and Replit. Depending on what kind of application you're building—for example, maybe if you're building a web-based application—then I recommend using Lovable or Replit. They're very good at creating that. Whatever software you want to build, whatever user personas that you’re addressing, you can feed into that and it’ll create like a prototype application. Okay.  So what that does is actually, then this prototype, clients can just take it to their customers or internal users and get feedback. A picture is better than a thousand words. Organizations discussing an idea is very different from when they actually see something. Then everybody starts chipping in—“Oh yeah, I see this in the prototype, but I don't want this,” or “I want to move things around,” or “This is what I want.” Basically, building a prototype on AI platforms is much faster than building wireframes and design prototypes like we used to do earlier. So that has changed. So you're 3D printing your software, right?  Yes, exactly. There you go. Well, that’s a very good way you put it together. Yeah. So, yeah, exactly. You’re just 3D printing the software, right? So you can see it, visualize it, and then once you go through that, it creates a lot of better ideas about the software in faster time. So once you have that, then you go into UI/UX design. So in that also, there are two steps. One is wireframing. Wireframing is like creating the flow in black and white. It's like creating a skeleton of your software. It does not have the color, the font, or the branding, but you just create all the different user journeys, the screens, the flow, and the fields that will be there on the screen. So we have integrated AI into that step as well. Earlier, it used to be created by a designer or a business analyst. Now we are using software like Uizard or UX Pilot, where we define what we want—what kind of user journey, flows, and screens—and it creates that. It spins out those wireframes in minutes. So really that has reduced now. The time it used to take to create wire frames is faster now.  So you're designing the wireframes with AI?  Yes, but it's just the wireframe part of it, and it's still guided by our expert VA or designer—someone who knows how to really visualize things and has done a lot of wireframes and sketches. So they know what to tell the AI. Prompting is very important. It's very important that you know how to prompt—what to ask for—so that you can get variations and differentiation in the wireframes. You don't want a standard AI-created wireframe. Everybody can recognize AI-generated images now, right? If I show you one, you'd say, “Oh yeah, it's AI-generated.” I know that, right? Yeah. So again, we keep the human intelligence. We're not asking AI to create the full software end-to-end. It never works—it'll never work. It just doesn't. I know that's a strong statement, but I'm saying that based on experience and an understanding of human behavior and psychology. So AI agents will not be able to code software, in your opinion?  No, they can do the coding, but they cannot build the whole software end-to-end—a production-deployed software. Because these software are being used by humans. You have to have human intelligence to understand and define what you need and how it works.Share on X You can maybe create some software, but it doesn't work very well. Even if you use all these platforms, you can cut down your production time and cost by 30%, 40%, 50%, right? That's the number we are seeing—30 to 50% reduction, depending on the software you're building and the objectives. So just to recap—you validate the idea by interrogating Claude and ChatGPT, asking about the needs of that customer, the psychology of the customer—that's step number one. Step number two is 3D printing the software with Lovable or Replit—so proof of concept. And then you design the wireframes. And then what's next after you design the wireframes? What's the next step?  So that’s a good thing. That’s it. Now I'm going to talk about the human element—some people listening to this podcast will be surprised. Now it comes to visual design, right? So you've created the skeleton, and now you have to add the skin, the tone, the color, the emotion to the design, to the workflow. Now, we have tried AI, but it doesn't work. It's very monotonous. So we use an experienced visual designer, a UX designer, for that step—to give it emotion. When you use AI—I wish I could show you some examples—it creates very similar kinds of designs for apps and software. So what we did is we gave it three different apps with very different objectives and everything, and the designs it came up with were very similar—blocks, buttons—very monotonous. So there's no differentiation. And design is the main thing that becomes the differentiator, right?  Yeah.  So that's what we learned from our experience. And I say that very categorically in all of my talks—that visual design, final UX, has to be human, not AI.Share on X Because you are communicating emotions, right? And AI is still not there to communicate emotions.  Yeah. It doesn’t have emotions.  Well, some people will argue with you and say, “No, it can understand if you're sad or unhappy.” But my response to that is—it's because we've programmed it that way. But things change based on situation, context, ethnicity, culture, fear—how people express nervousness, fear, and all that—it's very different. So there was this AI video interviewing company five or six years ago. They were sued by the Department of Justice because they were trying to detect emotions of people like anxious, nervous, when the interview was happening.  It turned out their model was trained only on one race—they didn't account for other races or ethnicities. So their model failed, and they were sued by Department of Justice for that. So yeah, emotions is something—maybe they have unlimited dimensions, we don't know. So it's hard to program that. So basically: ideation, prototype, wireframe, and then final visual design—that's the discovery and design framework. Now, when it comes to development framework, this is where AI has been a game changer—the coding part. But again, you have to be very careful about how you use AI in your coding pattern with your coding team. It depends on the application, it depends on the tech stack, right? Every platform has its own strengths and weaknesses. For example, if you want to build a web-based application in the React JS framework, then Lovable is great. That's very good—very efficient and cost-effective. Then Claude is there. Claude has been really good in software engineering. I would say it has been built and designed mostly for coding, right? Anthropic—their idea, their starting point—was coding, how to make coding and software engineering better.  So they've been a front runner in the race. ChatGPT is trying to catch up using Codex, and Copilot is great. Copilot is mostly used by enterprises who are on the Microsoft stack. They use Copilot a lot for coding in .NET and enterprise-level applications. They’re used to co-pilot. It’s because they feel comfortable with Microsoft security policies and all that. That’s fine. But in general, we see Claude to be at the top—from our perspective. We've also built a framework for software coding. In software development, there's a popular process called peer review. So when you create source code, you get it reviewed by your peer—your colleague.Share on X  Is this what happens on GitHub?  Yeah, yes. So basically anywhere—any source code repository—you can do that. So your team members can help you make your code better and more efficient.  Yeah, I understand. But now we have a step called prompt peer review. When you're using prompts to build software, those prompts get reviewed by team members. Because if your prompts are not very specific or good enough all the way through the SDLC, you can run into a lot of challenges trying to fix the code. Because now you have a situation where you have code that you have not written fully, and when you ask AI to change something in the code, sometimes it ends up changing a lot of things that you don't want it to change. Yeah.  That's what we've seen, and that's why we evolved. Before we build any software, we create maybe a 10-, 20-, 30-page prompt document, where we go through each screen and function and write it out. It's very sophisticated—it has evolved really well. But the thing is, it takes a few days to do that within the team, because we know if we do it right, the next step is faster and more accurate. So really, the prompt document—think of it more like an architecture document. Earlier, we used to create a solution architecture document, defining all the tools, the design, everything.  But now it's more like an AI-driven solution architecture document with prompts, which get reviewed by team members. So we do that, and then we run that, and we get the code and everything. So I have a CTO club—I run a CTO Club in Maryland—and I was talking to CTOs. They're all using this, but some of them are so advanced that they actually define the test cases in the beginning. They define, “Okay, this is what I want, this is the function I want, and these are the test cases I want it to pass.” That's even more advanced. If you can do that, you can have very efficient code.  Yeah, I love it.  So is that the end? You have your test cases, you design the prompt, you peer-review the prompt, and you already had the prototype, so now you're coding the software—what's the last step?  Yeah. Then there’s an integration as well. So AI doesn’t do the integration so well. You can do the front-end coding, you can do the back-end coding, you can probably create the APIs. APIs require a lot more human intervention. But once you have that, then you have to connect it, right? You have to connect the front end with the backend. A lot of that is still done by the programmer. It's hard to rely on AI for doing that. And again, it depends on the application. Maybe if it's a smaller application, maybe you can have AI do that. But if it's a bigger application—we mostly build bigger applications—then integration, then final QA and testing, and deployment.  So all that is there. But in each of these steps, you can use some sort of AI tool to speed up the process. But the key is you still have to have your architecture, the process. You have to know the steps more. You have to be a good, experienced developer to use AI efficiently if you want to build a production-ready application. You can build a prototype. Anybody can build a prototype on Replit or Lovable, but it's not going to be production-ready that you can give to your customer and charge them money. So that’s the differentiator.  Yeah, I understand. So Piyush, I’d like to switch gears here. I understand the AI ideation framework—that's great. We talked about the technical part of it, the curiosity, the technical challenges. Let’s talk about the entrepreneurship part, which is also part of your profile. So what drives the growth of your business? What would you say drives it?  For us, there are multiple factors that drive the growth of our business. The first is, again, our problem-solving attitude. Any client that comes to us we communicate in that modelShare on X The problem, the challenge, the solution, the business part, the value proposition we bring. And the second factor is our location. We are here in Maryland, and we have another office in Chicago. So being here, we have a global shoring model—that's a main driving factor of our business from the entrepreneurship perspective. So what the global shoring model is: our client-facing team, the senior team, is here—solution architects, sales engineers, designers, project managers, business analysts—they are here in the US, client-facing. And our dev team and testers are in our offshore locations.  Some people call it hybrid shoring. I call it right shoring. The reason I call it right shoring is because in this model, you have the right people at the right shore, so you get the most value. Here, you have people who understand the culture, the product, the context—because products are used by people in a certain culture. And if you are not in that culture, if you haven't experienced it, it's always harder to design the right software solution. I was one of the first people to start that model here in the DMV area for mid-size and smaller companies. This model existed before, but mostly for large enterprise companies. They have used that. But I started to offer that 16 years ago to smaller companies. Either companies were just going offshore, or they were doing onshore, right? I introduced this hybrid—or right-shoring—model, and it has been well received by our customers. So that’s it.  So what is one thing that you’re trying to figure out in your business right now?  Right now, what I'm trying to figure out in my business is scaling. I mean, we have built solutions for many different industries. We have built solutions for different clients in fintech, healthcare, education, nonprofit, startups, IoT, construction. But now what we are trying to figure out is how do we create some off-the-shelf solutions for different industries? Because one challenge we see is that, from the client's perspective, getting custom software built takes time and money. But in certain use cases, we can have off-the-shelf, industry-specific solutions, and then customize those based on the client's needs.  So that's what we are trying to figure out—across different industries, what those solutions can be—so we can scale and also make it easier. And these are more like AI-driven, off-the-shelf solutions that are customizable. So think of it like Salesforce—its core is off-the-shelf, but then you can customize the front end and a lot of other things. Not exactly like Salesforce, but more like industry-specific solutions for different use cases—nonprofit, construction, right? With those, overall, we can build solutions faster.  That’s fascinating. So how has the offshoring—or right shoring, as you call it—model evolved over the past 10 years? Is it different now than it was 10 or 20 years ago?  Yeah, I think that's a great question. It has evolved and changed. Earlier—maybe 10, 12 years ago—when we were talking about hybrid shoring, we were mostly talking about the US and Asia. But now we have different players. We have the nearshore model, which has become quite popular as well—like South America. We have team members in nearshore locations as well, in South America, because we want to leverage different time zones, resources, and culture. And we've seen very positive results. Then you have Eastern Europe. We have competition from countries like Ukraine, Belarus, Romania, Poland. I think it’s the part of the globalized world, right? It's like energy flowing in different spaces—it's not limited to one place, which is great. That's one way it has evolved.  I also know some companies working in Kenya—there are developers there. Some companies are setting up in East Africa, West Africa. So different places are playing roles now. That’s one thing I see. And now, with the help of AI, what's going to happen is it will play two roles. One— in many situations, with AI, you can do more things onshore. That’s one aspect of it. And second—with AI, someone sitting offshore who knows how to use AI can become very competitive as well. We don't have enough data yet to fully see how this will evolve, but maybe in a year or so, we'll see how it plays out.  But I also find that with these simultaneous translation tools—like Apple, I think an iPhone can now translate in all languages. Essentially, another barrier falls that if the language and knowledge of your offshore contractor is not perfect, they can understand things much more clearly because of simultaneous translation. Even on Zoom, you can now flip a switch and they can read what's being said in their own language during a conversation. So that's amazing, I think.  Yeah. That’s amazing. That’s amazing. They can understand more about the culture and mindset. So that's something have to see. Again, I think it depends on the use case, the application, the problem we're solving. But in some cases, it might be great news for onshore—we can keep more dollars here. But keeping dollars here with AI also means a lot of that spend is going to AI, right? So that's one thing—we have to be very careful. Yesterday, in our tech breakfast, our presentation was about how to optimize your AI tokens. There are some companies spending $150,000 per year per employee on tokens. Wow.  That's like the salary of one employee.  Yeah.  A mid-level developer—$150K—they're spending that much. And then they’re trying to figure out how to optimize it. And on top of that, they have cloud costs, right? AWS, Azure—those costs are still there—and then you add AI. So it's a lot of money. You really have to be very smart about understanding and optimizing it. That’s why the prompting is so important, right? It's not just about getting the right software—it's also about getting the cost down.  Yeah. Again, you need expert people who can prompt well, because it's about being able to communicate well. Prompting is about communication—it's about clarity, brevity, security, all that stuff. So, Piyush, we're coming close to the end of the recording. If someone would like to learn more about the applications you develop, how you're using AI, and how you can help their business develop technology, where can they find you? What's the best way to get in touch with you? Sure, there are many ways people can reach out to me. They can go to my website, www.simpalm.com—we have a contact form there. They can submit the form, or they can reach out to me via email directly at contact@simpalm.com. They can also connect with me on LinkedIn. I'm on LinkedIn—message me there if somebody needs anything. I always like discussing problems and what the solutions can be. If anybody reaches out to me, I'm always very quick to respond.  That's awesome. So Piyush Jain, the CEO of Simpalm—and we didn't even talk about your other business, Ducknowl—thank you for coming, and thank you for sharing your insights and your framework on how to build an ideation framework for AI. So thanks for sharing that. And if you're listening and you enjoyed this conversation, then stay tuned, because every week we have another entrepreneur sharing their insights and frameworks with you. So make sure you follow us on YouTube, subscribe, and give us a review on Apple Podcasts. So thanks for coming. Thank you, Steve. It was a pleasure talking to you. Important Links: Piyush's LinkedIn Piyush's website

The harsh reality is that most Nigerian startups fail before they even launch. While the reasons are varied, there is one particular culprit I see over and over: analysis paralysis. Too many of you are stuck "planning to plan"—spending months worrying about branding, websites, and the back end without ever actually shipping anything. You are dreaming to build, but you are building nothing.My recommendation has always been clear: focus on building an MVP (Minimum Viable Product). This is the smallest version of your idea that people can actually see and interact with so you can judge if they are willing to pay for it. I looked at global data for deployment times: usually, a simple no-code product takes 2 to 4 weeks, SaaS takes 8 to 12 weeks, and even complex enterprise solutions take 4 to 6 months. But here in Nigeria, I see people taking two to four years just to get started. In that time, market needs change and competition moves in.Don't be the person who says, "I had that idea before Uber." Having a good idea doesn't pay the bills—execution and shipping do. Before you build, you must go through discovery: talk to 10 or 20 people to figure out their real problems. Use that data to inform your UI/UX and features.Because I want to help solve this problem, I'm collaborating with Ikenga Software Factory (iksf.ng). Our goal is speed to market. If you can describe your idea in plain English, they can deliver a product in 7 days. We are also getting rid of the common headaches—there are no price surprises due to inflation, and there is no locking you in; you paid for the code, it's yours to keep and migrate whenever you want.Stop wasting time dreaming. Whether you use Ikenga or not, you need to start building and start shipping. If you want to connect or have questions about your startup journey, reach out to me via text or WhatsApp at 08064662140Also remember to check out https://iksf.ng/

About DrewDrew Corkill is a UI/UX designer with nearly 15 years of experience and a deep background in graphic design, who has quietly become one of the most prolific creators in tabletop gaming. Alongside Gabe Barrett, Drew is the driving force behind the “Solo Game of the Month” initiative, he's launched more crowdfunded games than almost anyone in the industry, building a system that prioritizes speed, iteration, and consistent output. Drew first connected with me as a student in the Think Like a Game Designer Course, where his early work on Small Time Heroes evolved into a breakout success with multiple expansions and campaigns. In this episode, Drew shares how his background in UX shapes his approach to game design, what makes solo games uniquely powerful, and how community, structure, and relentless iteration can turn creative ambition into a sustainable career.Justin's Ah-Ha Moments:* Threats, Timers, Treats: Drew had one of the clearest frameworks I've heard for solo game design. If you want a solo game to generate excitement, you need pressure (threats), urgency (timers), and reward (treats). Miss one, and the whole thing feels more like a puzzle than a game. This is a simple checklist, but it's deceptively powerful.* You Don't Build Alone: What stood out to me in Drew's story is how much of his success came from the environment around him. Community, feedback, and deadlines are force multipliers. Left on your own, it's easy to stall, but put yourself in a room with people who are building, and everything speeds up. This is true whether it's a course, a group, or just a few people you trust.* Cut to the Experience: When you take something digital and try to make it physical, all the excess gets exposed. You can't rely on automation or hidden math, instead you have to decide what actually matters. Drew's approach is to strip things down until the fun is obvious. That's a useful lens for any design. If something is slowing the player down without adding value, it's probably not pulling its weight.If you've ever had a game idea but didn't know how to turn it into a real, playable design, my Design Labs program walks you through the entire process. With 60+ lessons, practical assignments, and a private Discord community, you'll learn how to move from inspiration to prototype, playtesting, iteration, and publishing.Show Notes:“I was like, well, I'll just make my own version of what I want.” (00:07:01)This is one of those deceptively simple origin moments. Drew couldn't find the experience he wanted, so instead of waiting, he built it. That impulse, where you're moving from consumer to creator, is where a lot of design careers actually begin. If something feels missing in the games you're playing, consider it a compass, and try to fill the gap.“If it's distracting from the fun […] then it's a baby that has to be killed.” (00:27:30)This is Drew being brutally honest about design discipline. It's easy to fall in love with clever mechanics, complex systems, or ideas that felt great during development, but if they slow the game down or pull players out of the experience, they have to go. Prioritization is key, because not every good idea belongs in the final product. Remember, most of the time you should be removing anything that doesn't serve the core experience, no matter how much time you've invested in it.“To design a solo game is much easier than it is to design a multiplayer game.” (00:42:47)Drew loves to design solo games. Late in the conversation, he gets tactical about why his “game a month” system works. Solo games reduce complexity, which makes them faster to design, test, and ship. Solo games are easier to iterate on, because until very late in the process, you are the only designer and playtester needed to refine the prototype.You can find Think Like a Game Designer on these platforms:* Apple Podcasts* Spotify* Youtube This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit justingarydesign.substack.com/subscribe

We dissect how a personalized AI therapist exposed the root cause of modern stress stacking. Plus, we explore "The Cypher Dilemma"—are we rapidly approaching a point where consciously choosing the Matrix is the most logical move for survival?Welcome to the Alfalfa Podcast

Samay Kohli spent 12 years at GreyOrange, scaling it to over $100 million in revenue and a $3 billion valuation at its peak, making it one of the world's largest warehouse robotics companies. Two years ago, he started again with Budy, this time in the US senior care industry.In this industry, decisions are emotional, sales cycles can run for years, and multiple stakeholders are involved. While the market sits at the intersection of real estate, healthcare, and hospitality, most sales still depend on manual follow-ups and scattered tools.Budy builds digital workers for sales teams: AI teammates that handle follow-ups, scheduling, and lead management across CRMs, calendars, and inboxes. Instead of adding another layer of software, Budy went zero UI-UX and focused on enabling sales teams in an industry with 99% inbound leads to manage their cold leads better.Today, Samay joins Siddhartha (Partner at Neon Fund, and a proud investor in Budy) and shares his journey from building robots to building digital teammates for a very non-traditional industry.00:00 – Trailer01:00 – What Budy is building for senior care05:15 – Real Estate × Healthcare × Hospitality06:25 – Zero UI UX technology10:09 – AI teammates not assistants12:03 – How sales teams operated before Budy12:51 – A ninety nine percent inbound industry13:45 – The real cost of senior care homes15:35 – Can a CRM alone solve this17:55 – Direct benefits of a digital worker20:49 – Two founder archetypes22:06 – Can lights out operations become real24:49 – What Samay underestimated about the market25:58 – The largest players in the industry29:07 – Treat your customer's company like your own30:52 – Entrepreneurship as a profession35:36 – Unlearnings as a second time founder37:30 – What digital workers actually are39:47 – The original promise of SaaS42:04 – The next decade of digital workers45:25 – Digital workers that read best selling books47:26 – Will Claude build CRMs49:38 – Business etiquette across the world55:18 – How a second time founder chooses investors01:01:00 – Why every team member should track the P and L01:02:14 – How Samay's view on growth evolved-------------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-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send a text

The Trio meet to discuss two of the talks (ours!) from the recent in-person PhillyCocoa meetup called "Beyond the Simulator: Perspectives on Modern App Development" that took place on January 29 at the Vanguard offices in Philadelphia. This pod was recorded before the event due to scheduling, but we go into detail on what you missed now that it is the future (insert Spaceballs joke here)! Kotaro talks about Liquid Glass and what it means for modern UI/UX while Steve goes into some detail about how to effectively get started using tools like Codex CLI or Claud Code for app development. Be sure to check out PhillyCocoa.org for a link to join our Slack and follow us on Luma so you know when our next in-person and virtual events are scheduled: https://luma.com/phillycocoa.## Show Notes- Introductions- IRL Meetup Follow-up (recorded before the meetup!) - Kotaro's Liquid Glass talk - Steve's Spec. Plan. Ship. “AI” assisted dev talk- Wrap-Up- One More Thing... - Monthly Zoom Call Meeting in February - Follow us on Luma: https://luma.com/phillycocoa## Chapters00:00 Introductions02:33 Beyond the Simulator IRL Event03:49 Kotaro's Talk: Liquid Glass and Modern UI/UX Trends11:25 Liquid Glass Encourages Gesture-Based Interactions16:18 Branding Challenges in Liquid Glass UI19:31 Steve's Talk: Spec. Plan. Ship21:47 The Four I Workflow: Intent, Interact, Increment, Iterate28:59 Continuously Iterate on Your System33:17 Steve's Tips for Getting Started41:51 Best Practices for Using AI in Development46:20 Wrap-Up46:38 One More Thing...47:59 TagIntro music: "When I Hit the Floor", © 2021 Lorne Behrman. Used with permission of the artist.

#3963D Workflows for Indie DevsInterview2025.07.03We welcome Freya Holmér back into the clubhouse to talk about 3D game development for independent game developers. We get into the specifics of the tools available for devs and why they work and don't work for different teams, but it's mostly an excuse to talk about Freya's new 3D modeling software.Half-Edge - Freya HolmérShapes - Freya Holmér, Unity Asset StoreShader Forge - Freya Holmér, GitHub3D Workflows for Indie DevsGame DesignToolsUI / UXValve Hammer Editor - Valve Developer CommunityPicoCAD - Johan Peitz, itch.ioTrenchBroom - GitHubCrocotile 3DWhat's the difference between OBJ and FBX? And when to you what - Reddit

Day 8 of building my SaaS in public - the technical phase begins!I have a landing page (I can sell) and UI/UX design (I can demo).Now it's time to wire up the functionality and bring this thing to life.What you'll learn:• Why set up a dev environment now (timing matters)• The Demo Account pattern for product-led qualification• Connecting Lovable to GitHub (two-way sync)• Pulling code locally for Cursor/Claude Code development• The bi-directional workflow (Lovable UI + local backend)Tools covered:• Lovable (lovable.dev) - UI/UX design• GitHub (github.com) - Version control• Cursor (cursor.com) - AI-powered code editor• Claude Code - Terminal-based AI codingThe demo account change:Instead of hiding the dashboard behind auth, I converted it to apublic "Demo Account" that anyone can explore. Product-ledqualification - prospects see what they're getting before signing up.

Day 7 of building my SaaS in public - and today we're optimizingthe UI/UX to get the app demo-ready.Your product doesn't just need to solve the problem - it needs tobe easy to use AND clearly show the value it provides.The biggest change? Showing DOLLARS instead of hours."47.5 hours captured" → "$12,350 recovered this month"Same data. Completely different impact. That's ROI hitting usersright in the face.What you'll learn:• Why UI/UX optimization matters before the technical build• The #1 change that transforms perceived value (show dollars)• Adding collaboration features (status tracking, activity logs)• Navigation and usability quick wins• What to include before your first demoChanges I made:• Revenue chart instead of hours chart• Removed unnecessary dashboard tiles• Added report status tracking• Added activity log for collaboration• Fixed navigation (anchored menu)• Added Help & Support section

I'm back!  After about 7 years (or more) of bi-weekly publishing, I gave myself a break (to have the flu, in part), but now it's back to business! In 2026, I'll be focusing the podcast more on the commercial side of data products. This means more founders, CEOs, and product leader guests at small and mid-sized B2B software companies who are building technically impressive B2B analytics and AI products. With all the focus on AI, I want to focus on things that don't change: what do value and outcomes look like to buyers and users, and how do we recreate it with analytics and AI? What learnings and changes have leaders had to make on the product and UI/UX side to get buyers to buy and users to use?   So, that brings us to today's episode.  Today, I'll explain why I think model quality, analytics data, and raw AI capability are quickly becoming commodities, shifting the real challenge to how effectively companies can translate their data and intelligence into value that buyers and users can clearly understand and defend.  I dig into a core tension in B2B products: fiscal buyers and end users want different things. Buyers need confidence, risk reduction, and defensible ROI, while users care about making their daily work easier and safer. When products try to appeal broadly or force customers to figure out how AI fits into their workflows, adoption breaks down. Instead, I make the case for tightly scoped, workflow-aware solutions that make value obvious, deliver fast time-to-value, and support real decisions and actions.    Highlights/ Skip to: Refocusing the trajectory of the show for 2026 (00:31) Turning your product's intelligence into clear, actionable solutions so users can see the value without having to figure it out themselves (4:32) You're selling capability, but buyers are buying relief from a specific pain point (7:33) Asking customers where AI fits into their workflow is poor design (16:57) Buyers and users both require proof of value, but in different ways (20:05) Why incomplete workflows kill trust (24:18) The importance of translating technical capability into something a human is willing to own (30:09)

In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code's Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software. Timestamps 00:00 – Intro 01:22 – Claude Code Best Practices 05:31 – Claude Code Plan Mode 09:30 – The Ask User Question Tool 14:52 – Don't start with Ralph automation (get reps first) 16:36 – What are “Ralph loops” and why plans and documentation matter most 18:41 – Ras's Ralph setup: progress tracking + tests + linting 23:48 – Tips & tricks: don't obsess over MCP/skills/plugins 27:44 – Scroll-stopping software wins Key Points Your results improve fast when you treat AI agents like junior engineers: clear inputs → clean outputs. The biggest unlock is planning in features + tests, not broad product descriptions. Claude Code's Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions. If you haven't shipped anything, don't hide behind automation—build manually before using “Ralph.” Context management matters: long sessions can degrade quality, so restart earlier than you think. Numbered Section Summaries The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you'll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality. How To Think Like A Product Builder (Features First): Ras pushes a practical mindset: don't describe “the product,” describe the features that make the product real. If you can list the core features clearly, you can actually direct an agent to build them correctly. The Missing Piece: Tests Between Features: We talk about the shift from “generate code” to “build something serious.” The move is writing and running tests after each feature, so you don't stack feature two on top of a broken feature one. Why Default Planning Mode Isn't Enough: Ras shows the standard flow: open plan mode, ask Claude to write a PRD, and get a basic roadmap. The issue is it leaves too many assumptions—especially around UI/UX and workflow details. The Ask User Question Tool (The Planning Upgrade): This is the big unlock. Ras demonstrates how the Ask User Question Tool interrogates you with increasingly specific questions (workflow, cost handling, database/hosting, UI style, storage, etc.) so the plan becomes dramatically more precise. Spend Time Upfront Or Pay For It Later: We connect the dots: better planning reduces back-and-forth, reduces token burn, and prevents “I built the app but it's not what I wanted.” The interview-style planning forces trade-offs early instead of late. Don't Use Ralph Until You've Built Without It: Ras makes a strong case for reps: if you can't ship something end-to-end yet, automation won't save you—it'll just move faster in the wrong direction. Build feature-by-feature manually first, then graduate to loops. Practical Tips: Context Discipline + Taste Wins: Ras shares a few operational habits: don't obsess over tools like MCP/plugins, keep context usage under control, and restart sessions before quality degrades. We wrap on a bigger point: in 2026, “audacity + taste” is what makes software stand out. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MIC ON SOCIAL X/Twitter: https://x.com/Rasmic Youtube: https://www.youtube.com/@rasmic

For episode 665 of the BlockHash Podcast, host Brandon Zemp is joined by Chris Zhu, CEO & Founder of Donut (Donut Browser). Donut Browser is the world’s first agentic crypto browser built for trading. It integrates signal discovery, risk analysis, strategy generation and on-chain execution directly at the browser layer, allowing users to go from idea to live trade without switching tools.Donut Labs raised $22M to build the first agentic AI crypto browser for traders. Investors include BITKRAFT, Makers Fund, HSG, Sky9 Capital, MPCi, Altos Ventures, Hack VC, and others, with support from leaders across Solana, Sui, Monad, Jupiter, Drift, and DeFi App. With more than 160K users in their waitlist, Donut will offer a full product suite including a Chrome extension, web app, mobile app, and a Chromium based browser.

In this episode, Andreas sits down with Michael Sackler, founder of Supernode Global, to unpack the thesis behind Supernode's Fund II: backing application-layer software with great UI/UX — the tools people actually use every day at home and at work — at a time when most European funds avoid consumer and default to “AI-infra everything.” Michael shares how his background in film shaped his view on tech leverage, why Supernode focuses on consumer-grade experiences applied to B2B, what their six theme areas are (wellbeing, productivity, community, creative and professional augmentation), and why they're putting unusually strong skin in the game with a 34% GP commit.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mike Bakon to explore the fascinating intersection of hardware hacking, blockchain technology, and decentralized systems. Their conversation spans from Mike's childhood fascination with taking apart electronics in 1980s Poland to his current work with ESP32 microcontrollers, LoRa mesh networks, and Cardano blockchain development. They discuss the technical differences between UTXO and account-based blockchains, the challenges of true decentralization versus hybrid systems, and how AI tools are changing the development landscape. Mike shares his vision for incentivizing mesh networks through blockchain technology and explains why he believes mass adoption of decentralized systems will come through abstraction rather than technical education. The discussion also touches on the potential for creating new internet infrastructure using ad hoc mesh networks and the importance of maintaining truly decentralized, permissionless systems in an increasingly surveilled world. You can find Mike in Twitter as @anothervariable.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Hardware and Early Experiences02:59 The Evolution of AI in Hardware Development05:56 Decentralization and Blockchain Technology09:02 Understanding UTXO vs Account-Based Blockchains11:59 Smart Contracts and Their Functionality14:58 The Importance of Decentralization in Blockchain17:59 The Process of Data Verification in Blockchain20:48 The Future of Blockchain and Its Applications34:38 Decentralization and Trustless Systems37:42 Mainstream Adoption of Blockchain39:58 The Role of Currency in Blockchain43:27 Interoperability vs Bridging in Blockchain47:27 Exploring Mesh Networks and LoRa Technology01:00:25 The Future of AI and DecentralizationKey Insights1. Hardware curiosity drives innovation from childhood - Mike's journey into hardware began as a child in 1980s Poland, where he would disassemble toys like battery-powered cars to understand how they worked. This natural curiosity about taking things apart and understanding their inner workings laid the foundation for his later expertise in microcontrollers like the ESP32 and his deep understanding of both hardware and software integration.2. AI as a research companion, not a replacement for coding - Mike uses AI and LLMs primarily as research tools and coding companions rather than letting them write entire applications. He finds them invaluable for getting quick answers to coding problems, analyzing Git repositories, and avoiding the need to search through Stack Overflow, but maintains anxiety when AI writes whole functions, preferring to understand and write his own code.3. Blockchain decentralization requires trustless consensus verification - The fundamental difference between blockchain databases and traditional databases lies in the consensus process that data must go through before being recorded. Unlike centralized systems where one entity controls data validation, blockchains require hundreds of nodes to verify each block through trustless consensus mechanisms, ensuring data integrity without relying on any single authority.4. UTXO vs account-based blockchains have fundamentally different architectures - Cardano uses an extended UTXO model (like Bitcoin but with smart contracts) where transactions consume existing UTXOs and create new ones, keeping the ledger lean. Ethereum uses account-based ledgers that store persistent state, leading to much larger data requirements over time and making it increasingly difficult for individuals to sync and maintain full nodes independently.5. True interoperability differs fundamentally from bridging - Real blockchain interoperability means being able to send assets directly between different blockchains (like sending ADA to a Bitcoin wallet) without intermediaries. This is possible between UTXO-based chains like Cardano and Bitcoin. Bridges, in contrast, require centralized entities to listen for transactions on one chain and trigger corresponding actions on another, introducing centralization risks.6. Mesh networks need economic incentives for sustainable infrastructure - While technologies like LoRa and Meshtastic enable impressive decentralized communication networks, the challenge lies in incentivizing people to maintain the hardware infrastructure. Mike sees potential in combining blockchain-based rewards (like earning ADA for running mesh network nodes) with existing decentralized communication protocols to create self-sustaining networks.7. Mass adoption comes through abstraction, not education - Rather than trying to educate everyone about blockchain technology, mass adoption will happen when developers can build applications on decentralized infrastructure that users interact with seamlessly, without needing to understand the underlying blockchain mechanics. Users should be able to benefit from decentralization through well-designed interfaces that abstract away the complexity of wallets, addresses, and consensus mechanisms.

If you've spent any time in European venture lately, you've probably noticed two things:Everyone says they “do AI now.”Almost nobody wants to touch consumer.That's exactly where Michael Sackler and Supernode Global are leaning in.Michael started his career not in venture, but in film. He founded and ran Rook's Nest Entertainment in London, producing and executive producing 12 feature films, including cult horror hit “The Witch”, which still makes the rounds every Halloween.As the streamers rose in the early 2010s, he watched technology companies steamroll the media value chain. At the same time, he began angel investing around the edges of content and tech. It didn't take long before it was obvious where the real leverage was.Today, Michael runs Supernode Global, an early-stage fund focused on application-layer software that people use every day at home and at work. Fund I proved out the model. Fund II is where it scales.This episode is essentially Michael's Fund II pitch and it's a good one.Here's what's covered:02:40 | Fund I → Fund II — expanding from “content + tech” to technologies that enhance daily personal and professional life03:55 | The thesis shift — six themes across wellbeing, productivity, vitality, life-ops, community, and creative/pro-work augmentation05:27 | The unifying thread — application-layer software + UI/UX obsession (consumer-grade experiences applied to enterprise)07:50 | Fund II in motion — 13 companies already deployed and why the portfolio itself tells the story10:36 | Sourcing edge — 50/50 inbound/outbound, a gender-balanced team, and why that drives deal flow from overlooked founders12:57 | Speed as a superpower — winning competitive deals through fast conviction, aggressive execution, and deep consumer focus14:42 | Value add in practice — growth support, fundraising pathways, and SuperNode's “connector” identity (with a shoutout to Naomi)15:33 | 34% GP commit — why Michael and Gina put unusually large personal capital into the fund (and what it signals to LPs)18:51 | The AI elephant — where AI enhances work vs. where it risks erasing human craft (with the Graswold example)21:56 | Human creativity vs. automation — why AI will reshape the menial, not the art, and why stories still anchor value23:32 | AI art, authenticity & meaning — when fully AI-generated output loses emotional value, and where hybrid human–AI creation wins

In this episode, Aydin sits down with Paul Xue, a self-described “vibe marketer” and former 3x CTO who now runs an AI-native Reddit growth agency. Paul explains why he believes any assumption you made about AI even three months ago is probably wrong today, and how that realization pushed him to pivot away from writing code as a long-term career.He walks through how his team ships production software where ~100% of the code is AI-generated, why 80% of the work now lives in planning and system design, and how new models like Claude Opus 4.5 and Gemini 3 let him literally “go for a walk” while his tools implement features. Along the way, Paul shares real numbers (two years of work vs 10–15 hours), what this means for agencies and devs, how he hires in an AI-native world, and gives a behind-the-scenes tour of the multi-agent workflows powering his Reddit content engine.Timestamps0:00 – Introduction1:01 – What a “vibe marketer” is and why Reddit is a power channel in the LLM era3:01 – From 3x CTO to Reddit-first entrepreneur: deciding coding isn't future-proof4:06 – GPT-3.5 + end of zero interest rates: when dev agency contracts fell off a cliff6:28 – Adoption curves: senior devs who still don't use AI and why personality matters7:57 – Running an AI-native shop where ~100% of production code is AI-generated9:48 – Two years vs 10–15 hours: Paul's personal 10x story on shipping an MVP12:04 – New development workflow: “plan mode” and spending 80% of time on specs18:17 – Claude Opus 4.5, Gemini 3, and “going for a walk” while AI finishes features23:30 – How $60K–$250K apps turn into weekend side projects with vibe coding tools27:12 – Hiring in the AI era: why pure “ticket-taking” devs won't survive35:12 – Inside an AI-native Reddit engine: n8n workflows, agents, Pinecone & OpenRouterTools & Technologies MentionedReddit – Primary growth and content channel; a highly trusted source for LLM training and citations.ChatGPT / GPT-3.5 – Early model that triggered Paul's realization that traditional coding careers would change.Claude 3.5 Sonnet & Claude 3.5 Opus / Opus 4.5 – Anthropic models Paul uses for long-running coding, planning, and browser automation.Gemini 3 – Google model Paul uses to quickly generate solid, familiar SaaS-style UI/UX ideas.Cursor – AI-native code editor that turns detailed “plans” into production code with one click.n8n – Automation platform that powers Paul's multi-step AI workflows for content creation and evaluation.Pinecone – Vector database storing each client's knowledge base for highly relevant Reddit responses.OpenRouter – Routing layer that lets Paul easily swap and test different language models over time.MCP (Model Context Protocol) – Framework he uses to give agents tool access (e.g., scraping Reddit, reading DBs).Notion – Fast prototyping environment to validate data models and workflows before writing custom code.Zapier – General automation glue in the earliest workflow experiments.Figma – Design tool, now increasingly AI-assisted, for UI/UX mockups.SpecCode – Tool Paul cites for vibe coding HIPAA-compliant applications.Anything – Mobile-focused “vibe coding” platform for building iOS/Android apps on your phone.Fellow – AI meeting assistant that joins meetings, produces summaries/action items, and acts as an AI chief of staff.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Rory and Drew celebrate crawling their way to 30k subs, then immediately prove they are barely qualified to handle it by turning a Stranger Things binge into a full-blown lecture on composition, lighting, and how to reverse-engineer blockbuster shots into Midjourney and Nano Banana Pro prompts. They talk like film school dropouts who discovered prompts instead of lenses. From there, they unpack fresh Midjourney office hours: the upcoming UI/UX overhaul with continuous scrolling, better color control, a reworked style system, and the big one: parallel edit models that finally keep you inside Midjourney instead of forcing you into five other tools. They break down what “better text handling” could realistically mean for real-world client work, what to expect from Midjourney V8 training in January, and why business use cases will decide who actually wins this model war. Then it's a long, dangerous slide into Nano Banana Pro obsession. They show how they are using it for real campaigns: ingredient flat-lay diagrams with perfect labels, knolling that actually respects object counts, thumbnail iterations in minutes, hyper-real food tweaks (“make the cheese more brown and bubbly”) and product work where text on bottles and labels actually holds up. Think: turning moodboards into branded cars, movie-poster typography onto existing art, and multi-shot car sequences that are clean enough to use as video keyframes. In the back half, they zoom out into systems: building custom Nano tools in Google AI Studio, using JSON prompts, if-then logic, and style libraries to create reusable pipelines for teams that are not prompt nerds. They rant about broken N8N workflows, fake Instagram “AI automation” grifts, and share where affiliate tools actually see conversions today across YouTube, X, and LinkedIn. It is part Midjourney V8 rumor mill, part Nano Banana Pro clinic, part therapy session for creatives trying to stay sane in an algorithm that clearly prefers trolls and evolving Pokémon. --⏱️ Midjourney Fast Hour00:00 Midjourney Fast Hours hits 30k subs01:28 Stranger Things S5, film craft & AI framing05:39 Turning cinematic shots into AI prompts07:33 Pop culture prompts, memes & brand tie-ins08:38 Nano Banana branding tricks & model hype cycle09:38 Midjourney swag, “non-sponsored sponsors”10:12 Midjourney UI overhaul & scrolling-style feed15:46 Midjourney edit models and in-app image editing20:16 Midjourney V8 timing, text handling & business use24:41 Midjourney vs other models for real client work26:47 Free image tools, casual users & competition30:57 Nano Banana Pro: real-world client use cases36:31 Micro edits, product shots & text stress tests42:33 Product versioning, depth tests & asset variants44:25 Car branding, moodboards & Nano video keyframes46:20 Polaroid race car branding & design details50:09 Building custom Nano tools in Google AI Studio55:21 Style libraries, handoff workflows & reverse prompts59:17 If-then logic for prompts, GPTs & image systems01:03:01 From tokens to full-blown image systems01:04:21 Instagram grifts, empty funnels & manychat rage01:05:15 Platforms that actually convert for AI tools01:06:38 Algorithm chaos, Pokémon and death threats01:06:58 Midjourney swag, the Faye cameo & water bottle talk01:07:58 Future video model hype, skepticism & sign-off

We just checked out the Warhammer TV app and, honestly, it's got potential but falls short in key areas. The app offers exclusive Warhammer animations, hobby guides, and battle reports, but after browsing the available content, there's just not enough to keep you coming back. Most series are short, updates are slow, and it feels dated next to modern streaming platforms. UI/UX is a struggle: navigation is clunky, compatibility is inconsistent across devices, and basic features like sorting, favoriting, and easy downloads are missing or awkward. It's tough to find what you want, and it lacks the polish you'd expect from such a prominent brand.If Games Workshop wants Warhammer TV to thrive, they'll need far more content and a major app overhaul. Are you using the app, or still holding out for something better? Drop your wishlist and feedback below, and subscribe for more honest reviews on hobby tech!

Kako je klinac sa najtežom astmom postao jedan od najsvestranijih umetnika u Srbiji? 345. epizoda Pojačala vodi nas kroz život i karijeru Eška Kurtića, multimedijalnog i tattoo umetnika iz Niša, čoveka koji je od rasturačkih devedesetih, teške astme i mesecima provedenim po bolnicama izgradio svoj put kroz umetnost, grafite, analogni dizajn i kasnije digital i tetoviranje. Razgovor počinje njegovim detinjstvom obeleženim ozbiljnom bolešću i time kako su papir i olovka postali doslovno način da preživi. Ivan ga vodi hronološki: od prvih grafita u dvorištu, preko ulaska u nišku umetničku školu u vreme inflacije i nestašice, pa do akademije gde susreće legendarne profesore, rusku školu crtanja, zapadnjačke pristupe, kaligrafiju, tipografiju i one “Mesijine” lekcije o ludilu i umetnosti. Eško detaljno opisuje kako je analogno doba - rapidografi, tuševi, četkice od životinjske dlake i plakati rađeni ručno - izgradilo njegovu veštinu i karakter. Poseban deo epizode bavi se njegovim uličnim periodom, hip-hop kulturom, skejtom, brejkom, putovanjima zbog grafita, upoznavanjem Beogradske ilegal ekipe i stvaranjem ranih murala koji se i danas pamte. Ipak, paralelno razvija “drugi Eško” - akademski, tehnički, disciplinovani deo koji radi ambalaže, plakat, fotografiju, 3D, UI/UX i sve što mu dođe pod ruku. O čemu smo pričali: - Najava - Početak razgovora - Kad porastem biću - Akademija i studentski dani - Životne lekcije o umetnosti - Grafiti kao umetnost - Prvi poslovi - Ključne tačke - Početak tattoo karijere - Mainstream vs underground Podržite nas na BuyMeACoffee: https://bit.ly/3uSBmoa Pročitajte transkript ove epizode: https://bit.ly/43Lazh8 Posetite naš sajt i prijavite se na našu mailing listu: http://bit.ly/2LUKSBG Prijavite se na naš YouTube kanal: http://bit.ly/2Rgnu7o Pratite Pojačalo na društvenim mrežama: Facebook: http://bit.ly/2FfwqCR Twitter: http://bit.ly/2CVZoGr Instagram: http://bit.ly/2RzGHjN

You can now text us anonymously to leave feedback, suggest future content or simply hurl abuse at us. We'll read out any texts we receive on the show. Click here to try it out!Starship Troopers (1997): Would you like to know more?We're suiting up for Paul Verhoeven's gloriously un-subtle space satire—where propaganda pops like bubblegum, the bugs aren't the dumb ones, and “service guarantees citizenship.” We talk giant arachnids, bigger egos, and why so many people somehow missed the joke.What we coverThe Federal Network effect: recruitment ads, newsreels, and how the film weaponises UI/UX to sell fascism with a smile.Rico's journey: classroom ideology → boot-camp brutality → battlefield meat grinder (medic!… too late).Co-ed everything: showers, squads, and the film's on-purpose glossy, soap-opera casting.Verhoeven's satire dialled to 11: why it's meant to be pretty and brain-dead—and why that still stings today.Effects that hold up: Tippett's creature work + 1997 CGI that still rips (and rips people in half).The brain bug finale: “It's afraid.” Why that triumphant cheer is the darkest punchline.Book vs film: Heinlein's straight-faced militarism vs Verhoeven's neon-lit mockery.Why this episode?Because it's a perfect “did you get it?” movie—one that works as a pulpy bug-hunt and as a razor-sharp critique. We go deep but keep it rowdy: football flips, knife tricks, Ironside growls, and the most cursed workplace shower chat in cinema.“If you mistake the recruitment ad for the message… congratulations, trooper—you're already enlisted.”

The x402 Protocol isn't just another technical upgrade; it's a revolutionary framework that enables A.I. agents to engage in financial transactions autonomously. By bridging the world of cryptocurrencies with traditional finance, it opens the door to a future of machine-to-machine payments and true interactions.~This episode is sponsored by Tangem~Tangem ➜ https://bit.ly/TangemPBNUse Code: "PBN" for Additional Discounts!GUEST: Erik Reppel, Head of Engineering, Coinbase Developer PlatformCoinbase Developers➜ https://bit.ly/CoinbaseDevx402x402 Ecosystem➜ https://www.x402scan.com/00:00 Intro00:10 Sponsor: Tangem00:30 What is x402?01:45 What caused the unlock?03:30 Why did we see the explosion recently?05:00 Are modern financial rails forced to adopt this?06:50 Is x402 the ONLY viable payment rail for A.I. Agents?08:00 Other use cases09:30 Where is the growth going to come from?11:00 Server growth expectations by year end?12:00 Paywalls & Subscriptions13:50 UI/UX leap forward15:30 A.I. agent bidding: what could this unlock?16:00 A.I. adoption runway17:10 Gaming: Could this be the missing piece of the puzzle?18:30 Which blockchains do you see most benefitting from x402?20:50 Will this supercharge stablecoin adoption?22:00 Outro#Crypto #Bitcoin #Ethereum~Crypto + A.I. Just Broke the Internet!

For episode 618 of the BlockHash Podcast, host Brandon Zemp is joined by Christian Davies, Global Head of Distribution and Innovation for Relm. Christian Davies has over 12 years of experience in the insurance industry as a worldwide brokerage executive director and founder. He drives Relm’s global distribution strategies and fosters innovation to enhance product reach and market impact. Relm crafts insurance solutions that give businesses in dynamic industries like Web3, AI, Alternative Medicine, Biotech and the Space Economy the protection to innovate and thrive. ⏳ Timestamps: (0:00) Introduction(1:07) Who is Christian Davies?(11:07) How to keep up with variable risk across emerging tech(12:51) How to insure the growing Cybersecurity space(17:43) How does Relm assess risk for a company(19:28) AWS outage(22:28) Why Founders should prioritize insurance against risk(24:30) Relm roadmap for 2025 and 2026(28:30) UI/UX in Web3(30:31) Events & conferences(32:12) Learn more & contact Relm

In this WP Builds episode, Nathan Wrigley interviews Matt Cromwell about his recent article on the future of WordPress product businesses. Matt shares his evolving passion for the WordPress plugin ecosystem, discusses anxieties around the future, especially user expectations and the rise of AI, and highlights the importance of better UI/UX and partnering with marketers and designers. The episode talks about how focusing on user experience and collaboration can help WordPress products thrive, even as the landscape shifts. Plenty of humour and mentions of Matt's podcast WP Product Talk are sprinkled throughout! A LOT! Go listen!

Aydin sits down with Filip Skrzesinski, co-founder of Subframe, to unpack how AI and code-native design tools are collapsing the classic PM → design → engineering handoffs. Filip explains why “pictures to code” is an unfair ask of engineers, shows how Subframe lets teams design directly in the same material as production code, and demos building a Fellow feature—from screenshot → design system match → working prototype—without access to Fellow's codebase. They close on what's next: organizations training their own “house models” to reflect product taste, patterns, and constraints so more people across the company can truly build.Key takeawaysDesign in the same material as code: Subframe treats UI work as editable code, eliminating fidelity loss from design handoffs.Fewer stages, faster loops: PMs, designers, and engineers collaborate in one artifact; prototypes look and behave like the real app.AI as a trained teammate, not a slot machine: Teams will shape models with system prompts, snippets, and feedback—like mentoring a junior designer.Front-end ownership shifts: Designers can own front-end structure and components; engineers wire up backends and complex logic.Prototype to PRD: High-fidelity prototypes beat docs for alignment, user testing, and speed.Timestamps00:00 - Introduction 01:00 Fil's path: audio engineering → CS → design → startup co-founder03:48 Builders everywhere: from Dreamweaver → Webflow → Shopify → now “apps”04:01 What Subframe is: a design tool rooted in code05:48 Bridging LLMs (great at code) with visual design context08:09 The architect vs. printer analogy for product design12:23 Back to the show: “The new way” is collapsing steps and handoffs14:07 “Five-year” vision (sooner than you think): design → code with agents in the loop16:31 Training models on your org's taste: like raising a puppy—examples & theory19:15 Today's demo plan: build a Fellow feature in Subframe without codebase access21:04 Recreating Fellow's UI: import colors/typography; screenshot → layout23:07 Don't fight the AI: let it rough-in, then designers perfect in visual mode24:11 Why prototypes should look native (not “off-brand” sandboxes)26:07 Syncing components to codebases; where Subframe stops (front-end) and engineers continue (backend)28:33 Programmatic (deterministic) UI code & generative for visuals30:00 PMs in the tool: prompt to add a Share dialog with transcript and video context35:08 Exploring multiple design variations; mix-and-match patterns (“snippets”)37:57 From design to interactive prototype via annotations (“do this on click…”)45:22 First build runs: working Share flow; alert updates after sending47:02 Export code → Cursor/GitHub; hand off real components48:08 The next 12 months: more ideas shipped, more makers, less gatekeepingTools & technologies MentionedSubframe — Code-native design tool for building UI/UX; designs directly edit the underlying code; syncs components to your repo.Fellow.ai — AI meeting assistant with privacy controls; accurate summaries, actions, decisions; broad SaaS integrations.Cursor — AI-assisted code editor; good for continuing from exported Subframe code to production.GitHub — Repo hosting and collaboration for shipping the generated/edited UI code.AI code agents — Used by engineers to wire front-end to backend services and data.Squarespace / Webflow / Dreamweaver — Prior waves that democratized web creation; backdrop for today's “apps layer.”Shopify — Example of no-code/low-code e-commerce; analogy for app building's democratization.Lovable / Bolts / V0 — AI code/prototyping tools referenced as peers for generating working app scaffolds.Slack / Asana / HubSpot / Salesforce / Linear / Jira / Confluence — Systems Fellow integrates with to push notes, actions, and records.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

In this episode, Matt Ferrell — creator and founder of Undecided — joins us to break down how artificial intelligence and other emerging technologies are reshaping our daily lives. With a background in UI/UX design and a deep passion for sustainability, Matt simplifies complex tech topics like renewable energy, smart homes, and AI, helping audiences understand not just how innovation works — but why it matters. Join in to explore: How AI is accelerating innovation and personal productivity. The ways data research and machine learning are driving breakthroughs. What's next in sustainable and consumer technology. With over 1 million YouTube subscribers and multiple podcasts including Still TBD and Trek in Time, Matt continues to make cutting-edge science accessible and actionable. His mission? To help people navigate the fast-paced world of emerging tech with curiosity, confidence, and clarity. Follow Matt on his platforms for more thought-provoking content: Website: undecidedmf.com Patreon: patreon.com/mattferrell Still TBD Podcast: stilltbd.fm/subscribeTrek in Time Podcast: trekintime.show/subscribe X: https://x.com/UndecidedMF Instagram: https://www.instagram.com/mattferrell 

For episode 616 of the BlockHash Podcast, host Brandon Zemp is joined by Michael Stroev, CEO & Co-founder of Venga. Venga is the next go-to crypto app in Europe with the mission of making innovative blockchain technologies accessible to the masses, empowering people to effortlessly discover, invest in, and navigate the world of Web3. Before joining Venga, he was the COO & CPO at Nebeus, a cryptocurrency app he built and grew from zero to tens of millions of Euros in yearly transaction volumes. Michael has over 10 years of experience in product, marketing, operational leadership, including over 6 years in crypto and Web 3.0, while also being an ex-founder. As a strategic leader, he is experienced in formulating and executing business strategies, building cross-functional teams, and driving projects from concept to customer acquisition with a focus on profit maximization and company growth. ⏳ Timestamps: (0:00) Introduction(0:55) Who is Michael Stroev?(3:21) What is Venga?(5:33) Functionality of Venga(10:04) UI/UX(14:32) Educational resources(15:32) App features for users(19:08) Compliance(21:14) MiCA Regulation in Europe(23:03) Crypto in 2025(32:45) Venga website & socials

This week, we highlight all of the comments from Netflix's co-CEO regarding its upcoming release of five Party Games designed for connected TVs. We also detail his remarks on why Netflix doesn't bid for an entire season of NFL games, why Netflix doesn't want to acquire WBD, the impact of their new UI/UX and why trying to copy YouTube is the "dumbest move" a company can make. We also cover some announcements made during Advertising Week NY, with news from NBC, Paramount Skydance, Roku, Snap, The Trade Desk, Sky Media and Fox.Podcast produced by Security Halt Media

Send us a textHere's a conversation with a seasoned UI/UX designer and design strategist with 20+ years of experience building products used by millions. Her portfolio spans Google, PayPal, CBS Interactive, Fox Broadcasting Company, and Warner Music Group. She leads with empathy and business clarity—using research-driven decisions to ship smart, simple solutions that serve users and goals.We unpack how to turn complexity into clarity: reorganizing information, optimizing workflows, and inventing custom solutions. From information architecture and service blueprints to prototyping and design systems, she shows how to shake out all the moving pieces, surface insights, and connect them into experiences that actually make sense.Beyond pixels, we dive into organizational design. She structures decision-making, alignment, and evolution at scale—bridging product, design, and engineering so thinking, execution, and alignment happen simultaneously. Expect practical frameworks for cross-functional workshops, prioritization, and roadmapping that keep teams moving.If you work in product design, product management, or engineering leadership, this episode is a field guide to enterprise UX, service design, and design ops. We cover discovery to delivery, stakeholder buy-in, metrics that matter, and the habits that ship impactful products repeatedly. Keywords: UI/UX, product design, design systems, service design, information architecture, design strategy, organizational transformation, stakeholder alignment, enterprise UX, design ops.__________Music CreditsIntroEuphoria in the San Gabriel Valley, Yone OGStingerScarlet Fire (Sting), Otis McDonald, YouTube Audio LibraryOutroEuphoria in the San Gabriel Valley, Yone OG__________________My SGV Podcast:Website: www.mysgv.netNewsletter: Beyond the MicPatreon: MySGV Podcastinfo@sgvmasterkey.com

Ryan Doran is a Partner in Lead Creative and Head of UI/UX for Turkois, with over 17 years of experience in monetization strategy, payments, and scaling technology businesses.  Danny Smith is a Solution Architect at Stripe, working on AI-driven commerce innovations and partnering with AWS. In this episode, Ryan and Danny explore the critical intersection of pricing strategy and payment infrastructure, discussing how AI is transforming both the mechanics of pricing implementation and the challenge of pricing AI products themselves.   Why you have to check out today's podcast: Understand the difference between billing systems and payment systems and how they work together. Learn why flexible technical infrastructure is essential for modern pricing strategies. Discover how AI is enabling hyper-personalized shopping experiences with built-in guardrails.   "Your pricing strategy is only as good as the background tech that you have to operationalize it. If you have a legacy monolithic stack and you can come up with these great strategies, but it takes you six months to implement that strategy, then you've probably been left behind already." – Danny Smith   Topics Covered: 02:15 - How Ryan got into pricing through product development and payment flows. 04:30 - Danny's journey from cloud architecture to payments infrastructure. 06:45 - The difference between billing systems and payment systems. 10:20 - Why new billing companies continue to emerge despite established players. 14:15 - How AI is accelerating data utilization in pricing decisions. 17:30 - The dual challenge: using AI for pricing vs. pricing AI products. 19:45 - Hyper-personalized shopping with AI agents and built-in guardrails. 23:10 - The ethical concerns of "sleazy price segmentation" and AI pricing. 28:40 - Agent-to-agent negotiations and policy engines. 31:20 - How AI products are changing pricing models: tokens, credits, and hybrid approaches. 35:15 - Creating "action units" to translate technical complexity into business value.   Key Takeaways: "Data is basically the new margin. What you can do with it is only gaining in value." - Ryan Doran "We've implemented API level technology that will create a budget... and it will create a virtual debit card on the backend for that exact amount, tied to today as an expiration date, tied to that particular transaction." - Danny Smith   People / Resources Mentioned: Turkois: https://turkois.io/ Vanilla POS: https://vanillapos.io/ Stripe: https://stripe.com Perplexity: https://www.perplexity.ai/ OpenAI: https://openai.com/ Chargebee, Chargeify, Zora: Alternative billing platforms MCP Server: Technology enabling AI agents to interact with Stripe for dynamic pricing   Connect with Ryan Doran: Website: https://turkois.io/ Email: ryan@turkois.io   Connect with Danny Smith: Contact through Ryan Doran   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

In this episode, we speak to Jürgen Michaelis of JOMOX; the creator of some of the most essential and iconic techno machines over the last 3 decades, including the MBase, XBase, AlphaBase, Moonwind, M.Brane, Sunsyn, T-Resonator, and Resonator Neuronium (the latter is a neural network synth). We speak with Jurgen about how he got started, modding TR-909s and other gear, and discuss the polyphonic harmonic distortion he built into a guitar in 1988. Jurgen single handedly runs JOMOX - designing the internal PCBs and electronic circuits, as well as creating their incredible casings, forming the UI/UX and much more - certainly a man of many talents! Users of his equipment include Prince, Trent Reznor, Depeche Mode, Aphex Twin and anyone you'd care to mention in electronic music. We also discuss some of his art projects and installations as well as the benefits of meditation, and what else he's working on.   https://www.jomox.de/ Recommended Episode: Andrew Huang - midierror meets Series 1, Episode 24 BONUS: Get 15% off ANY device in midierror's Max4Live store using the code MIDIERRORSONICSTATE15 This is series 2, episode 9 and there are 50 previous episodes available now featuring Fatboy Slim, CJ Bolland, Andrew Huang, Tim Exile, High Contrast, Mylar Melodies, Infected Mushroom, DJ Rap, John Grant and many more. Available on Soundcloud, Spotify, Apple Music and Bandcamp.  See the full list of episodes at: sonicstate.com/midierrormeets

In this episode, we speak to Jürgen Michaelis of JOMOX; the creator of some of the most essential and iconic techno machines over the last 3 decades, including the MBase, XBase, AlphaBase, Moonwind, M.Brane, Sunsyn, T-Resonator, and Resonator Neuronium (the latter is a neural network synth). We speak with Jurgen about how he got started, modding TR-909s and other gear, and discuss the polyphonic harmonic distortion he built into a guitar in 1988. Jurgen single handedly runs JOMOX - designing the internal PCBs and electronic circuits, as well as creating their incredible casings, forming the UI/UX and much more - certainly a man of many talents! Users of his equipment include Prince, Trent Reznor, Depeche Mode, Aphex Twin and anyone you'd care to mention in electronic music. We also discuss some of his art projects and installations as well as the benefits of meditation, and what else he's working on.   https://www.jomox.de/ Recommended Episode: Andrew Huang - midierror meets Series 1, Episode 24 BONUS: Get 15% off ANY device in midierror's Max4Live store using the code MIDIERRORSONICSTATE15 This is series 2, episode 9 and there are 50 previous episodes available now featuring Fatboy Slim, CJ Bolland, Andrew Huang, Tim Exile, High Contrast, Mylar Melodies, Infected Mushroom, DJ Rap, John Grant and many more. Available on Soundcloud, Spotify, Apple Music and Bandcamp.  See the full list of episodes at: sonicstate.com/midierrormeets

John welcomes back Liz Hannah (The Post, The Girl from Plainville) to discuss how to construct and communicate setting in a script. They talk about the balance between establishing a sense of space while avoiding the beginner's mistake of over-blocking. We also follow up on accountability groups, last looks, and French composers. Then, we answer listener questions on revisions and getting your Hollywood Card revoked. In our bonus segment for premium members, John and Liz consider how to explain screenwriting to your kids (and others). LINKS: Bob The Musical has a Director! Download Weekend Read on the App Store Oxo Carbon Steel Pan Dehv Candle Company Apply for a student license for Highland Pro! Interested in being our new UI/UX designer? More info here! Preorder the Scriptnotes Book! Get a Scriptnotes T-shirt! Check out the Inneresting Newsletter Become a Scriptnotes Premium member, or gift a subscription Subscribe to Scriptnotes on YouTube Scriptnotes on Instagram John August on Bluesky and Instagram Liz Hannah on Instagram Outro by Spencer Lackey (send us yours!) Scriptnotes is produced by Drew Marquardt and edited by Matthew Chilelli. Email us at ask@johnaugust.com You can download the episode here.

John and Craig ask, how do you keep your period films from being a boring history lesson? They offer ten tips to keep your setting from taking over your story, defining the scope of your research, and how to balance the reality of the era with what's relevant to audiences today. We also follow up on navigating industry connections and answer three period-appropriate listener questions on transitions across time, accurate dialogue, and how to handle historical sensitivities on the page. In our bonus segment for premium members, John and Craig get into some toil and trouble as they give their rankings of the most iconic witches. Links: Apply for a student license for Highland Pro! Interested in being our new UI/UX designer? More info here! Mel Gibson rant at Joe Eszterhas caught on tape by Ben Child for The Guardian Episode 129: The One with the Guys from Final Draft Episode 314: Unforgiven Episode 674: The One vvith Robert Eggers Marielle Heller's Episode 212 and Episode 394 Standard Thermal (And a summary by CEO Austin Vernon) Panthalassa The Concept C Is the All-Electric Sports Car Kick-Starting Audi's Design Future by Jason Barlow for Wired Countdown on Amazon Prime Video Rank these iconic witches! Preorder the Scriptnotes Book! Get a Scriptnotes T-shirt! Check out the Inneresting Newsletter Become a Scriptnotes Premium member, or gift a subscription Subscribe to Scriptnotes on YouTube Scriptnotes on Instagram John August on Bluesky and Instagram Outro by Whit Morliss (send us yours!) Scriptnotes is produced by Drew Marquardt and edited by Matthew Chilelli. Email us at ask@johnaugust.com You can download the episode here.  

In this episode, Matt Ferrell joins us to discuss how emerging technologies are shaping the way we live, work, and think — focusing in particular on the rapidly evolving field of artificial intelligence. Matt is the founder and creator of Undecided, a platform dedicated to making sense of the fast-moving world of innovation.  Through his videos and analysis, he breaks down complex topics like renewable energy, smart home technology, and AI into clear, practical insights that help people understand not just what's coming, but why it matters… Hit play to uncover: How people are using AI in data research and development. How to use AI as a tool to accelerate individual projects. What's on the horizon for new tech. Matt has built his YouTube channel to over 1 million subscribers who are passionate about renewable and sustainable technologies. By leveraging his diverse background and decades of experience in UI/UX design, he is paving the way for a future where cutting-edge innovations are not only accessible, but also practical and sustainable for everyday life.