Podcasts about UX

In this interview, Sarah sits down with Steven, a longtime UX leader who spent 17 years at the same digital agency before an unexpected layoff forced him to re-evaluate everything. With no portfolio, no updated resume, and low confidence, Steven joined Career Strategy Lab, and everything changed.Today, Steven is thriving as a fractional product design director, long-term contractor, and consultant helping companies elevate their UX teams and integrate AI into their workflows. In this conversation, he shares how Career Stratgegy Lab's UX job search accelerator helped him rebuild his confidence, tell a clear story about 20+ years of experience, streamline his job search, and even reinvent himself as a business owner.Whether you're mid-career, coming out of a layoff, or curious about consulting, Steven's story is a grounding reminder that clarity, strategy, and community can completely change your UX career trajectory.What You'll Learn in This Episode:✔️ How Steven went from 25% confidence to 80% confidence in his job search✔️ The myth he had to unlearn: your portfolio is not the first step✔️ Why clarity + foundational work = faster, less stressful job search✔️ How CSL's community accelerated his progress and kept him motivated✔️ The mindset shift that helped him stop applying blindly to jobs✔️ How he now uses CSL's frameworks to land consulting and contract roles✔️ Why your “career operating system” needs ongoing updates✔️ How knowing your values helps you choose the right opportunitiesTimestamps:00:00 Introduction to Sarah Doody and Career Strategy Lab00:38 Episode Overview and Open House Context01:26 Sarah Doody's Background and UX Career Coaching02:31 Steven's Journey and Career Strategy Lab Experience04:13 Building Confidence and Telling Your Story06:25 The Power of Community and Networking09:55 Mindset Shifts and Career Value Criteria13:03 Freelance and Consulting Success Tips16:01 Final Thoughts and Advice18:53 Conclusion and Next Steps

Ignacio Siles es un investigador de la Universidad de Costa Rica que se dedica a entender las relaciones cotidianas de las personas con los algoritmos, sin escaparle al tema de lo divino y lo místico de la tecnología.  Nos va a contar como investiga el tema y porqué vale la pena investigarlo. Esta entrevista es parte de las listas: Costa Rica y diseño, Inteligencia Artificial, Diseño UX e Investigación en diseño. Su libro: Living with Algorithms. Agency and User Culture in Costa Rica. Uno de sus artículos: Algoritmos como hechos y fabricaciones: relatos etnográficos de factishes del Caribe costarricenseIgnacio nos recomienda: Recomienda: Klara y el sol de Kazuo IshiguroOne battle after an another de Paul Thomas Anderson

Any donation is greatly appreciated! 47e6GvjL4in5Zy5vVHMb9PQtGXQAcFvWSCQn2fuwDYZoZRk3oFjefr51WBNDGG9EjF1YDavg7pwGDFSAVWC5K42CBcLLv5U OR DONATE HERE: https://www.monerotalk.live/donate TODAY'S SHOW: In this episode of Monero Talk, Douglas Tuman speaks with Paul Puey of Edge Wallet about privacy in cryptocurrency. Paul shares his journey from Dogecoin to Bitcoin, recognizing Bitcoin's privacy issues early on, which led to his support for Monero. He discusses the rise of "privacy season," attributing increased interest in privacy coins to dissatisfaction with Bitcoin's lack of privacy. Paul also explains Edge Wallet's integration of Monero in 2018 and contrasts Monero's mandatory privacy with Zcash's optional model. The conversation covers usability challenges with Monero, such as transaction finality, and touches on the need for better point-of-sale solutions to drive crypto adoption. Paul also highlights Edge Wallet's new integration of XANO for private Bitcoin transactions and discusses the potential impact of macroeconomic trends on the crypto market, especially privacy coins. TIMESTAMPS: (00:00:58) – Privacy Season is Here (00:04:00) – Using Monero in Daily Life (00:06:40) – Edge Wallet's Role in the Monero Community (00:08:00) – Early Edge Integration of Monero (00:13:45) – Bitcoin Privacy vs. Monero Privacy (00:16:20) – Zcash's Early Usability Issues (00:18:30) – Monero vs Zcash: Philosophy & UX (00:23:50) – Proof-of-Stake Debate (00:26:50) – Zuko Conversation & Community Dynamics (00:31:00) – FCMP: The Future of Monero Privacy (00:33:10) – Light Wallet Servers Get Major Privacy Boost (00:35:50) – Biggest Monero Hard Fork Ever (00:47:30) – Best Coins for Payments (01:10:25) – Privacy Season Outlook (01:14:05) – Monero as the Ultimate Hedge (01:16:10) – Final Wrap-Up GUEST LINKS: https://x.com/paullinator Purchase Cafe & tip the farmers w/ XMR! https://gratuitas.org/ SPONSORS: Cakewallet.com, the first open-source Monero wallet for iOS. You can even exchange between XMR, BTC, LTC & more in the app! Monero.com by Cake Wallet - ONLY Monero wallet (https://monero.com/) StealthEX, an instant exchange. Go to (https://stealthex.io) to instantly exchange between Monero and 450 plus assets, w/o having to create an account or register & with no limits. WEBSITE: https://www.monerotopia.com CONTACT: monerotalk@protonmail.com ODYSEE: https://odysee.com/@MoneroTalk:8 TWITTER: https://twitter.com/monerotalk FACEBOOK: https://www.facebook.com/MoneroTalk HOST: https://twitter.com/douglastuman INSTAGRAM: https://www.instagram.com/monerotalk TELEGRAM: https://t.me/monerotopia MATRIX: https://matrix.to/#/%23monerotopia%3Amonero.social MASTODON: @Monerotalk@mastodon.social MONERO.TOWN: https://monero.town/u/monerotalkAny donation is greatly appreciated!Any donation is greatly appreciated!

Many market research, UX, and CX teams now use AI for brainstorming, writing, and various research tasks. But it's not always easy, especially when using AI to help researchers craft surveys and discussion guides. The recurring issue isn't effort—it's uneven quality from ad hoc prompting. In "Prompt Engineering for Researchers," host Kathryn Korostoff demonstrates two structured approaches that keep rigor intact while reducing rework. First, Prompt Chaining: design the deliverable step by step—structure before content—using short review loops to tune timing, probes, and flow. Second, Reflexion (with an "X"): asking the AI to critique its own draft for bias, confusion, or sequencing and to document changes. Example: "Review this guide and revise any questions that may be leading, biased, or confusing. Then list the changes you made and why you made them." And it will! Check out this episode for examples of using effective AI prompting for qualitative and quantitative researchers. #MarketResearch #QualitativeResearch #UXResearch #CXResearch #SurveyDesign #AIforResearch Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered on demand and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully vetted market research experts, covering temporary needs due to project and resource fluctuations. We believe it: Inside every market researcher is a Research Rockstar! Hope you enjoy this episode of Conversations for Research Rockstars. Research Rockstar | Facebook | LinkedIn | 877-Rocks10 ext 703 for Support, 701 for Sales Info@ResearchRockstar.com

Ryan Young and Kayla Ferris are Certified OOUX Strategists and UX leaders at P3+Uplift, an IT consulting firm based in Des Moines, Iowa. Ryan serves as Senior Director of Product and Design, while Kayla is a UX and Product Designer and mentor for the OOUX Certification Program. In this episode of the UX Level-Up Podcast, Sophia talks with Ryan and Kayla about how OOUX became P3's “test-driven design” process, why it helps them ramp up on complex projects at lightning speed, and how mapping objects with clients—even those with PhDs in microbiology—turns confusion into clarity. They also share real stories of saving weeks of rework and being told they knew more about their clients' businesses than ten-year veterans.LINKS: A List Apart: Object-Oriented UX — https://alistapart.com/article/object-oriented-ux/Learn more about OOUX Certification — https://ooux.com/certificationContinue the conversation on the OOUX Forum!

Join us for a conversation with Spanish double bassist Uxía Martínez Botana, who shares her journey from facing skepticism as a woman in classical music to becoming a celebrated soloist, chamber musician, and educator. Based in Amsterdam, she tours internationally with ensembles like the Budapest Festival Orchestra and Sol Gabetta's baroque ensemble, and is the first female double bass professor at a Spanish conservatory. We dig into topics like life on the road, work-life balance, her journey through the world of professional music, and her recent Mendelssohn X-Files Project. Enjoy, and learn more about Uxía and the great work she's doing through the links below Official Website: uxiamartinezbotana.com Mendelssohn X-Files Album: Fuga Libera Spotify: Uxía Martínez Botana YouTube: Official Channel Instagram: @uxiamartinezbotana Connect with DBHQ Join Our Newsletter Double Bass Resources Double Bass Sheet Music Double Bass Merch Gear used to record this podcast Zoom H6 studio 8-Track 32-Bit Float Handy Recorder Rode Podmic Sony Alpha 7 IV Full-frame Mirrorless Interchangeable Lens Camera Sony FE 16-35mm F2.8 GM Lens Sony FE 24-70mm F2.8 GM Lens   When you buy a product using a link on this page, we may receive a commission at no additional cost to you. Thank you for supporting DBHQ. Thank you to our sponsors! Upton Bass - From Grammy Award winners and Philharmonic players like Max Zeugner of the New York Philharmonic, each Upton Bass is crafted with precision in Connecticut, USA, and built to last for generations.  Discover your perfect bass with Upton Bass today! theme music by Eric Hochberg

Shruti Kapoor comes back onto the podcast to discuss React 19.2, how it builds on React 19 and React 18, and new features like Activity, View Transitions, useEffectEvent, and React server components improvements powered by cacheSignal. They explore partial pre rendering, Suspense boundary batching, the stable React Compiler for auto memoed apps, and new Chrome dev tools performance tracks. The episode also covers Next.js 16 framework support and the updated ESL plugin react hooks. Links Website: https://shrutikapoor.dev LinkedIn: https://www.linkedin.com/in/shrutikapoor08/ YouTube: https://www.youtube.com/@shrutikapoor08 X: https://x.com/shrutikapoor08 Bluesky: https://bsky.app/profile/did:plc:2xjmzwgtmtxa4hqw7ofab4kb Resources React 19.2: https://react.dev/blog/2025/10/01/react-19-2 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters Special Guest: Shruti Kapoor.

We talk about collaboration, but our brains often treat work like a win-lose game. In this episode, I break down Zero-Sum Bias, the belief that someone else's win automatically means your loss, where it comes from, how it quietly shapes team dynamics, and what you can do to build more win-win outcomes at work.What if your brain has been keeping score at work this whole time? And the game it thinks you're playing doesn't actually exist?We repeat lines like, “If a stakeholder wins, designers lose,” or “If the PM wins, users lose,” so often that they start to feel like facts. In this episode of the Cognition Catalog, we unpack Zero-Sum Bias, the belief that someone else's gain must come at your expense, and how that thinking quietly turns collaboration into a contest.I walk through where this bias comes from, starting with early economic and game theory models like zero-sum games, where wins and losses truly do net out to zero, and how that maps onto our evolutionary history of genuine scarcity. Food, safety, and resources really were limited, so one person's gain often did mean someone else's loss. The problem is that our brains still carry that wiring into modern workplaces that are full of shared goals, interdependence, and cross-functional teams.From design vs. product vs. engineering “tensions” to resourcing, prioritization, and recognition, I break down how zero-sum thinking shows up in everyday UX work—and what changes when you stop assuming only one side can win. We'll talk about practical ways to spot the bias, shift toward non-zero-sum thinking, and design team habits that reward collaboration over quiet competition.If you've ever caught yourself thinking, “If they win, I lose,” this episode will help you reset the scoreboard and build healthier ways of working together.Topics:• 02:08 Debunking Zero Sum Thinking• 03:13 Origins and Evolution of Zero Sum Bias• 04:09 Impact of Zero Sum Bias on Teams• 06:18 Strategies to Combat Zero-Sum BiasTo explore more about the Naive Cynicism, don't miss the full article @ ⁠⁠cognitioncatalog.com⁠⁠—Thanks for listening! We hope you dug today's episode. If you liked what you heard, be sure to like and subscribe wherever you listen to podcasts! And if you really enjoyed today's episode, why don't you leave a five-star review? Or tell some friends! It will help us out a ton.If you haven't already, sign up for our email list. We won't spam you. Pinky swear.• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get a FREE audiobook AND support the show⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out show transcripts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on Stitcher⁠⁠

Sponsored by Auth0 for Startups → 1-year free https://auth0.com/startups/vip Auth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. FOUNDER PROFILE:Rebecca Hu, Founder of Glacier Roboticshttps://www.linkedin.com/in/rebeccabhu

How to Build a Winning Strategy for Your B2B Brand In a fast-paced business environment, marketers, agencies, and consultants must proactively help clients differentiate their brands in the marketplace. One way of doing this is by analyzing the strategy, messaging, and brand positioning, both for their own brands and key competitors. So how can teams conduct this kind of brand research and competitive analysis in a way that's insightful, efficient, and actionable for planning the next steps? Tune in as the B2B Marketers on Mission Podcast presents the Marketing DEMO Lab Series, where we sit down with Clay Ostrom (Founder, Map & Fire) and his SmokeLadder platform designed for brand research, messaging and positioning analysis, and competitive benchmarking. In this episode, Clay explained the platform's origins and features, emphasizing its role in analyzing brand positioning, core messaging, and competitive landscapes. He also stressed the importance of clear, consistent brand positioning and messaging, and how standardized make it easier to compare brands across multiple business values. Clay also highlighted the value of objective, data-driven analysis to identify brand strengths, weaknesses, and gaps, and how tools like SmokeLadder can save significant time in gathering insights to build trust with clients. He provided practical steps for generating, refining, and exporting brand messaging and analysis for internal or client-facing use. Finally, Clay also discussed how action items and recommendations generated from analysis can immediately support smart brand strategy decisions and expedite trust-building with clients. https://www.youtube.com/watch?v=h4_o1PzF1Kk Topics discussed in episode: [1:31] The purpose behind building SmokeLadder and why it matters for B2B teams [12:00] A walkthrough of the SmokeLadder platform and how it works [14:51] SmokeLadder's core features [17:48] How positioning scores and category rankings are calculated [35:36] How differentiation and competitors are analyzed inside SmokeLadder [44:07] How SmokeLadder builds messaging and generates targeted personas [50:24] The key benefits and unique capabilities that set SmokeLadder apart Companies and links: Clay Ostrom Map & Fire SmokeLadder Transcript Christian Klepp  00:00 In an increasingly competitive B2B landscape, marketers, agencies and consultants, need to proactively find ways to help their clients stand out amidst the digital noise. One way of doing this is by analyzing the strategy, messaging and positioning of their own brands and those of their competitors. So how can they do this in a way that’s insightful, efficient and effective? Welcome to this first episode of the B2B Marketers in the Mission podcast Demo Lab Series, and I’m your host, Christian Klepp. Today, I’ll be talking to Clay Ostrom about this topic. He’s the owner and founder of the branding agency Map and Fire, and the creator of the platform Smoke Ladder that we’ll be talking about today. So let’s dive in. Christian Klepp  00:42 All right, and I’m gonna say Clay Ostrom. Welcome to this first episode of the Demo Lab Series. Clay Ostrom  00:50 I am super excited and very honored to be the first guest on this new series. It’s awesome. Christian Klepp  00:56 We are honored to have you here. And you know, let’s sit tight, or batten down the hatches and buckle up, and whatever other analogy you want to throw in there, because we are going to unpack a lot of interesting features and discuss interesting topics around the platform that you’ve built. And I think a good place to start, perhaps Clay before we start doing a walk through of the platform is, but let’s start at the very beginning. What motivated you to create this platform called Smoke Ladder. Clay Ostrom  01:31 So we should go all the way back to my childhood. I always dreamed of, you know, working on brand and positioning. You know, that was something I’ve always thought of since the early days, but no, but I do. I own an agency called Map and Fire, so I’ve been doing this kind of work for over 10 years now, and have worked with lots and lots of different kinds of clients, and over that time, developed different frameworks and a point of view about how to do this kind of work, and when the AI revolution kind of hit us all, it just really struck me that this was an opportunity to take a lot of that thinking and a lot of that, you know, again, my perspective on how to do this work and productize that and turn it into something that could be used by people when we’re not engaged with them, in some kind of service offering. So, so that was kind of the kernel of it. I actually have a background in computer science and product. So it was sort of this natural Venn diagram intersection of I can do some product stuff, I can do brand strategy stuff. So let’s put it together and build something. Christian Klepp  02:46 And the rest, as they say, is history. Clay Ostrom  02:49 The rest, as they say, is a lot of nights and weekends and endless hours slaving away at trying to build something useful. Christian Klepp  02:58 Sure, sure, that certainly is part of it, too. Clay Ostrom  03:01 Yeah. Christian Klepp  03:02 Let’s not keep the audience in suspense for too long here, right? Like, let’s start with the walk through. And before you share your screen, maybe I’ll set this up a little bit, right? Because you, as you said, like, you know, you’ve built this platform. It’s called Smoke Ladder, which I thought was a really clever name. It’s, you like to describe it as, like, your favorite SEO (Search Engine Optimization) tool, but for brand research and analysis. So I would say, like, walk us through how somebody would use this platform, like, whether they be a marketer that’s already been like in the industry for years, or is starting out, or somebody working at a brand or marketing agency, and how does the platform address these challenges or questions that people have regarding brand strategy, analysis and research? Clay Ostrom  03:49 Yeah, yeah. I use that analogy of the SEO thing, just because, especially early on, I was trying to figure out the best way to describe it to someone who hasn’t seen it before. I feel like it’s a, I’m not going to fall into the trap of saying, this is the only product like this, but it has its own unique twists with what it can do. And I felt like SEO tools are something everybody has touched at one point or another. So I was using this analogy of, it’s like the s, you know, Semrush of positioning and messaging or Ahrefs, depending on your if you’re a Coke or Pepsi person. But I always felt like that was just a quick way to give a little idea of the fact that it’s both about analyzing your own brand, but it’s also about competitive analysis and being able to see what’s going on in the market or in your landscape, and looking specifically at what your competitors are doing and what their strengths and weaknesses are. So does that resonate with you in terms of, like, a shorthand way, I will say, I don’t. I don’t say that. It’s super explicitly on the website, but it’s been in conversation. Christian Klepp  05:02 No, absolutely, absolutely, that resonated with me. The only part that didn’t resonate with me is that I’m neither a coke or a Pepsi person. I’m more of a ginger ale type of guy. I digress. But yeah, let’s what don’t you share your screen, and let’s walk through this, right? Like, okay, if a marketing person were like, use the platform to do some research on, perhaps that marketers, like own company and the competitors as well, right? Like, what would they do? Clay Ostrom  05:32 Yeah, so that’s, that is, like you were saying, there’s, sort of, I guess, a few different personas of people who would potentially use this. And initially I was thinking a little more about both in house, people who, you know, someone who’s working on a specific brand, digging really deep on their own brand, whether they’re, you know, the marketing lead or whatever, maybe they’re the founder, and then this other role of agency owners, or people who work at an agency where they are constantly having to look at new brands, new categories, and quickly get up to speed on what those brands are doing and what’s the competitive space look like, you know, for that brand. And that’s something that, if you work at an agency, which obviously we both have our own agencies, we do this stuff weekly. I mean, every time a new lead comes in, we have to quickly get up to speed and understand something about what they do. And one of the big gaps that I found, and I’d be curious to kind of hear your thoughts on this, but I’ve had a lot of conversations with other agency owners, and I think one of the biggest gaps is often that brands are just not always that great at explaining their own brand or positioning or differentiation to you, and sometimes they have some documentation around it, but a lot of times they don’t. A lot of it’s word of mouth, and that makes it really hard to do work for them. If whatever you’re doing for them, whether that’s maybe you are working on SEO or maybe you’re working on paid ads or social or content, you have to know what the brand is doing and kind of what they’re again, what their strengths and weaknesses are, so that you can talk about that. I mean, do you come across that a lot in your work? Christian Klepp  07:33 How do I say this without offending anybody? I find, I mean jokes aside, I find, more often than not, in the especially in the B2B space, which is an area that I operate in, I find 888 point five times out of 10. We are dealing with companies that have a they, have a very rude, rudimentary, like, framework of something that remotely resembles some form of branding. And I know that was a very long winded answer, but it’s kind of sort of there, but not really, if you know what I mean. Clay Ostrom  08:17 Yeah. Christian Klepp  08:17 And there have been other extreme cases where they’ve got the logo and the website, and that’s as far as their branding goals. And I would say that had they had all these, this discipline, like branding system and structure in place, then people like maybe people like you and I will be out on a job, right and it’s something, and I’m sure you’ve come across this, and we’ll probably dig into this later, but like you, it’s something I’ve come across several times, especially in the B2B space, where branding is not taken seriously until it becomes serious. I know that sounds super ironic, right, but, and it’s to the point of this platform, right, which we’re going to dig into in a second, but it’s, it’s things, for instance, positioning right, like, are you? Are you, in fact, strategically positioned against competitors? Is your messaging resonating with, I would imagine, especially in the B2B context, with the multiple group target groups that you have, or that your company is, is going after? Right? Is that resonating, or is this all like something that I call the internal high five? You’ve this has all been developed to please internal stakeholders and and then you take it to market, and it just does not, it just does not resonate with the target audience at all. Right? So there’s such a complex plethora of challenges here, right? That people like yourself and like you and I are constantly dealing with, and I think that’s also part of the reason why I would say a platform like this is important, because it helps to not just aggregate data. I mean, certainly it does that too, but it helps. To put things properly, like into perspective at speed. I think that might be, that might be something that you would have talked about later, but it does this at speed, because I think, from my own experience, one of the factors in our world that sometimes works against us is time, right? Clay Ostrom  10:19 No, I totally agree, yeah, and, you know, we’re lucky, I guess would be the word that we are often hired to work on a company strategy with them and help them clarify these things. Christian Klepp  10:33 Absolutely. Clay Ostrom  10:34 There are a million other flavors of agencies out there who are being hired to execute on work for a brand, and not necessarily being brought in to redefine, you know what the brand, you know they’re positioning and their messaging and some of these fundamental things, so they’re kind of stuck with whatever they get. And like you said, a lot of times it’s not much. It might be a logo and a roughly put together website, and maybe not a whole lot else. So, yeah, but I think your other point about speed is that was a huge part of this. I think the market is only accelerating right now, because it’s becoming so much easier to start up new companies and new brands and new products. And now we’ve got vibe coding, so you can technically build a product in a day, maybe launch it the next day, start marketing it, you know, by the weekend. And all of this is creating noise and competition, and it’s all stuff that we have to deal with as marketers. We have to understand the landscape. We’ve got to quickly be able to analyze all these different brands, see where the strengths and weaknesses are and all that stuff. So… Christian Klepp  11:46 Absolutely. Clay Ostrom  11:46 But, yeah, that, I think that the speed piece is a huge part of this for sure. Christian Klepp  11:51 Yeah. So, so we’re okay, so we’re on the I guess this, this will probably be the homepage. So just walk us through what, what a marketing person would do if they want to use this platform, yeah? Clay Ostrom  12:00 So the very first thing you do when you come in, and this was when I initially conceived of this product, one of the things that I really wanted was the ability to have very quick feedback, be able to get analysis for whatever brand you’re looking at, you know, right away to be able to get some kind of, you know, insight or analysis done. So the first thing you can do, and you can do this literally, from the homepage of the website, you can enter in a URL for a brand, come into the product, even before you’ve created an account, you can come in and you can do an initial analysis, so you can put in whatever URL you’re looking at, could be yours, could be a competitor, and run that initial analysis. What we’re looking at here, this is, if you do create an account, this is, this becomes your, as we say, like Home Base, where you can save brands that you’re looking at. You can see your history, all that good stuff. And it just gives you some quick bookmarks so that you can kind of flip back and forth between, maybe it’s your brand, maybe it’s some of the competitors you’re looking at and then it gives you just some quick, kind of high level directional info. And I kind of break it up into these different buckets. Clay Ostrom  13:23 And again, I’d love to kind of hear if this is sort of how you think about it, too. But there’s sort of these different phases when you’re working on a brand. And again, this is sort of from an agency perspective, but you first got the sort of the research and the pitch piece. So this is before maybe you’re even working with them. You’re trying to get an understanding of what they do. Then we have discovery and onboarding, where we’re digging in a little bit deeper. We’re trying to really put together, what does the brand stand for, what are their strengths and weaknesses? And then we have the deeper dive, the strategy and differentiation. And this is where we’re really going in and getting more granular with the specific value points that they offer, doing some of that messaging analysis, finding, finding some of the gaps of the things that they’re talking about or not talking about, and going in deeper. So it kind of break it up into these buckets, based on my experience of how we engage with clients. Does that? Does that make sense to you, like, does that? Christian Klepp  14:28 It does make sense, I think. But what could be helpful for the audience is because this, this almost looks like it’s a pre cooked meal. All right, so what do we do we try another I mean, I think you use Slack for the analysis. Why don’t we use another brand, and then just pop it into that analysis field, and then see what it comes out with. Clay Ostrom  14:51 So the nice thing about this is, if you are looking at a brand that’s been analyzed, you’re going to get the data up really quickly. It’ll be basically pop up instantly. But you can analyze a brand from scratch as well. Just takes about a minute or so, basically, to kind of do some of the analysis. So for the sake of a demo, it’s a little easier just to kind of look at something that we’ve got in there. But if it’s a brand that you know, maybe you’re looking at a competitor for one of your brands, you know, there’s a good chance, because we’ve got about 6000 brands that we’ve analyzed in here, that there’s a good chance there’ll be some info on them. But so this is pipe drive. So whoever’s not familiar Pipedrive is, you know, it’s a CRM  (Customer Relationship Management), it’s, it’s basically, you know, it’s a lighter version of a HubSpot or Salesforce basically track deals and opportunities for business, but this so I flipped over. I don’t know if it was clear there, but I flipped over to this brand brief tab. And this is where we we get, essentially, a high level view of some key points about the brand and and I think about this as this would be something that you would potentially share with a client if you were, you know, working with them and you wanted to review the brand with them and make sure that your analysis is on point, but you’ll see it’s kind of giving you some positioning scores, where you rank from a category perspective, message clarity, and then we’ve got things like a quick overview, positioning summary, who their target persona is, in this case, sales manager, sales operation lead, and some different value points. And then it starts to get a little more granular. We get into like key competitors, Challenger brands. We do a little SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, and then maybe one of the more important parts is some of these action items. So what do we do with this? Yeah, and obviously, these are, these are starting points. This is not, it’s not going to come in and, you know, instantly be able to tell you strategically, exactly what to do, but it’s going to give you some ideas of based on the things we’ve seen. Here are some reasonable points that you might want to be looking at to, you know, improve the brand. Make it make it stronger. Christian Klepp  17:13 Gotcha. Gotcha. Now, this is all great clay, but like, I think, for the benefit of the audience, can we scroll back up, please. And let’s just walk through these one by one, because I think it’s important for the audience/potential future users,/ customers of Smoke Ladder, right? To understand, to understand this analysis in greater depth, and also, like, specifically, like, let’s start with a positioning score right, like, out of 100 like, what is this? What is this based on? And how was this analyzed? Let’s start with that. Clay Ostrom  17:48 Yeah, and this is where the platform really started. And I’m going to actually jump over to the positioning tab, because this will give us the all the detail around this particular feature. But this is, this was where I began the product this. I kind of think of this as being, in many ways, sort of the heart and soul of it. And when I mentioned earlier about this being based on our own work and frameworks and how we approach this, this is very much the case with this. This is, you know, the approach we use with the product is exactly how we work with clients when we’re evaluating their positioning. And it’s, it’s basically, it’s built off a series of scores. And what we have here are 24 different points of business value, which, if we zoom in just a little bit down here, we can see things like reducing risk, vision, lowering cost, variety, expertise, stability, etc. So there’s 24 of these that we look at, and it’s meant to be a way that we can look across different brands and compare and contrast them. So it’s creating, like, a consistent way of looking at brands, even if they’re not in the same category, or, you know, have slightly different operating models, etc. But what we do is we go in and we score every brand on each of these 24 points. And if we scroll down here a little bit, we can see the point of value, the exact score they got, the category average, so how it compares against, you know, all the other brands we’ve analyzed, and then a little bit of qualitative information about why they got the score. Christian Klepp  19:27 Sorry, Clay, Can I just jump in for a second so these, these attributes, or these key values that you had in the graph at the top right, like, are these consistent throughout regardless of what brand is being analyzed, or the least change. Clay Ostrom  19:42 It’s consistent. Christian Klepp  19:43 Consistent? Clay Ostrom  19:44 Yeah, and that was one of the sort of strategic decisions we had to make with the product. Was, you know, there’s a, maybe another version of this, where you do different points depending on maybe the category, or, you know, things like that. But I wanted to do it consistent because, again, it allows us to look at every brand through the same lens. It doesn’t mean that every brand you know there are certain points of value that just aren’t maybe relevant for a particular brand, and that’s fine, they just won’t score as highly in those but at least it gives us a consistent way to look at so when you’re looking at 10 different competitors, you know you’ve got a consistent way to look at them together,. Christian Klepp  20:26 Right, right, right. Okay, okay, all right, thanks for that. Now let’s go down to the next section there, where you’ve got, like this table with like four different columns here. So you mentioned that these are being scored against other brands in their category. Like, can you share it with the audience? Like, how many other brands are being analyzed here? Clay Ostrom  20:51 Yeah, well, it depends on the category. So again, we’ve got six, you know, heading towards 7000 brands that we’ve analyzed collectively. Each category varies a little bit, but, you know, some categories, we have more brands than others. But what this allows us to do is, again, to quickly look at this and say, okay, for pipe drive, a big focus for pipe drive is organization, simplification. You know, one of their big value props is we’re an easier tool to use than Salesforce or HubSpot. You can get up to speed really quickly. You don’t have all the setup and configurations and all that kind of stuff. So this is showing us that, yes, like their messaging, their content, their brand, does, in fact, do a good job of making it clear that simplicity is a big part of pipe drive’s message. And they do that by talking about it a lot in their messaging, having case studies, having testimonials, all these things that support it. And that’s how we come up with these scores. Is by saying, like the brand emphasizes these points well, they talk about it clearly, and that’s what we base it on. Christian Klepp  22:04 Okay, okay. Clay Ostrom  22:06 But as you come, I was just gonna say as you come down here, you can see, so the green basically means that they score well above average for that particular point. Yellow is, you know, kind of right around average, or maybe slightly above, and then red means that they’re below average for that particular point. So for example, like variety of tools, they don’t emphasize that as much with pipe drive, maybe compared to, again, like a Salesforce or a HubSpot that has a gazillion tools, pipe drive, that’s not a big focus for them. So they don’t score as highly there, but you can kind of just get a quick view of, okay, here are the things that they’re really strong with, and here are the things that maybe they’re, you know, kind of weak or below average. Christian Klepp  22:58 Yeah, yeah. Well, that’s certainly interesting, because I, you know, I’ve, I’ve used the, I’ve used the platform for analyzing some of my clients, competitor brands. And, you know, when I’m looking at this, like analysis with the scoring, with the scoring sheet, it, I think it will also be interesting perhaps in future, because you’ve got a very detailed breakdown of, okay, the factors and how they’re scored, and what the brand value analysis is also, because, again, in the interest of speed and time, it’d be great if the platform can also churn out maybe a one to two sentence like, summary of what is this data telling us, right? Because I’m thinking back to my early days as a product manager, and we would spend hours, like back then on Excel spreadsheets. I’m dating myself a little bit here, but um, and coming up with this analysis and charts, but presenting that to senior management, all they wanted to know was the one to two sentence summary of like, come on. What are you telling me with all these charts, like, what is the data telling you that we need to know? Right? Clay Ostrom  24:07 I know it’s so funny. We again, as strategists and researchers, we love to nerd out about the granular details, but you’re right. When you’re talking to a leader at a business, it does come down to like, okay, great. What do we do? And so, and I flipped back over to slacks. I knew I had already generated this but, but we’re still in the positioning section here, but we have this get insights feature. So basically it will look at all those scores and give you kind of, I think, similar to what you’re describing. Like, here’s three takeaways from what we’re seeing. Okay, okay, great, yeah, so we don’t want to leave you totally on your own to have to figure it all out. We’ll give you, give you a little helping hand. Christian Klepp  24:53 Yeah. You don’t want to be like in those western movies, you’re on your own kid. Clay Ostrom  24:59 Yeah. We try not to strand you again. There’s a lot of data here. I think that’s one of the strengths and and challenges with the platform, is that we try to give you a lot of data. And for some people, you may not want to have to sift through all of it. You might want just sort of give me the three points here. Christian Klepp  25:19 Absolutely, absolutely. And at the very least they can start pointing you in the right direction, and then you could be, you could then, like, through your own initiative, and perhaps dig a little bit deeper and perhaps find some other insights that may be, may be relevant, right? Clay Ostrom  25:35 Totally. Christian Klepp  25:36 Hey, it’s Christian Klepp here. We’ll get back to the episode in a second. But first, I’d like to tell you about a new series that we’re launching on our show. As the B2B landscape evolves, marketers need to adapt and leverage the latest marketing tools and software to become more efficient. Enter B2B Marketers on a Mission Marketing Demo Lab where experts discuss the latest tools and software that empower you to become a better B2B marketer. Tune in as we chat with product experts. Provide unbiased product reviews, give advice and deliver insights into real world applications and actionable tips on tools and technologies for B2B marketing. Subscribe to the Marketing Demo Lab, YouTube channel and B2B Marketers on a Mission, on Apple podcasts, Spotify, or wherever you get your favorite podcasts. Christian Klepp  26:21 All right. Now, back to the show, if we can, if we could jump back, sorry, to the, I think it was the brand brief, right? Like, where we where we started out, and I said, let’s, let’s dig deeper. Okay, so then, then we have, okay, so we talked about positioning score. Now we’re moving on to category rank and message clarity score. What does that look like? Clay Ostrom  26:41 Yeah. So the category rank is, it’s literally just looking at the positioning score that you’ve gotten for the brand and then telling you within this category, where do you sort of fall in the ranking, essentially, or, like, you know, how do we, you know, for comparing the score against all the competitors, where do you fall? So you can see, with Slack, they’re right in the middle. And it’s interesting, because with a product like Slack, even though we all now know what slack is and what it does and everything. Christian Klepp  27:18 Yeah. Clay Ostrom  27:19 The actual messaging and content that they have now, I think maybe doesn’t do as good of a job as it maybe did once upon a time, and it’s gotten as products grow and brands grow, they tend to get more vague, a little more broad with what they talk about, and that kind of leads to softer positioning. So that’s sort of what we’re seeing reflected here. And then the third score is the message clarity score, which we can jump into, like, a whole different piece. Christian Klepp  27:48 Four on a tennis not a very high score, right? Clay Ostrom  27:52 Yeah. And again, I think it’s a product, of, we can kind of jump into that section. Christian Klepp  27:57 Yeah, let’s do that, yeah. Clay Ostrom  27:59 But it’s, again, a product, I think of Slack being now a very mature product that is has gotten sort of a little vague, maybe a little broader, with their messaging. But the message clarity score, we basically have kind of two parts to this on the left hand side are some insights that we gather based on the messaging. So what’s your category, quick synopsis of the product. But then we also do some things, like… Christian Klepp  28:33 Confusing part the most confusing. Clay Ostrom  28:36 Honestly to me, as I get I’d love to hear your experience with this, but coming into a new brand, this is sometimes one of the most enlightening parts, because it shows me quickly where some gaps in what we’re talking about, and in this case, just kind of hits on what we were just saying a minute ago. Of the messaging is overloaded with generic productivity buzzwords, fails to clearly differentiate how Slack is better than email or similar tools, etc. But also, this is another one that I really like, and I use this all the time, which is the casual description. So rather than this technical garbage jargon, you know, speak, just give me. Give it to me in plain English, like we’re just chatting. And so this description of it’s a workplace chat app for teams to message, collaborate, share files. Like, okay, cool. Like, yeah, you know, I get it. Yeah, I already know what slack is. But if I didn’t, that would tell me pretty well. Christian Klepp  29:33 Absolutely, yeah, yeah. No, my experience with this is has been, you know, you and I have been in the branding space for a while. So for the trained eye, when you look at messaging, you’ll know if it’s good or not, right. And we come I mean, I’m sure you do the same clay, but I also come to my own like conclusions based on experience of like, okay, so why do I think that that’s good messaging, or why do I think that that’s confusing messaging? Or it falls short, and why and how can that be improved? But it’s always good to have validation with either with platforms like this, where you have a you have AI, or you have, you have a software that you can use that analyzes, like, for example, like the messaging on a website, and it dissects that and says, Well, okay, so this is what they’re getting, right? So there’s a scoring for that, so it’s in the green, and then this is, this is where it gets confusing, right? So even you run that through, you run that through the machine, and the machine analyzes it as like, Okay, we can’t clearly, clearly define what it is they’re doing based on the messaging, right? And for me, that’s always a it’s good. It’s almost like getting a second doctor’s opinion, right? And then you go, Aha. So I we’ve identified the symptoms now. So let’s find the penicillin, right? Like, let’s find the remedy for this, right? Clay Ostrom  30:56 Yeah, well, and I like what you said there, because part of the value, I think, with this is it’s an objective perspective on the brand, so it doesn’t have any baggage. It’s coming in with fresh eyes, the same way a new customer would come into your website, where they don’t know really much about you, and they have to just take what you’re giving at face value about what you present. And we as people working on brands get completely blinded around what’s actually working, what’s being communicated. There’s so much that we take for granted about what we already know about the brand. And this comes in and just says, Okay, I’m just, I’m just taking what you give me, and I’m going to tell you what I see, and I see some gaps around some of these things. You know, I don’t have the benefit of sitting in your weekly stand up meeting and hearing all the descriptions of what you’re actually doing. Christian Klepp  31:59 I’m sorry to jump in. I’m interested to know, like, just, just based on what we’ve been reviewing so far, like, what has your experience been showing this kind of analysis to clients, and how do they respond to some of this data, for example, that you know, you’re walking us through right now? Clay Ostrom  32:18 Yeah, I think it’s been interesting. Honestly, I think it can sometimes feel harsh. And I think again, as someone who’s both run an agency and also built worked on brands, we get attached to our work on an emotional level. Christian Klepp  32:42 Absolutely. Clay Ostrom  32:42 Even if we think about it as, you know, this is just work, and it’s, you know, whatever, we still build up connections with our work and we want it to be good. And so I think there’s sometimes a little bit of a feeling of wow, like that’s harsh, or I would have expected or thought we would have done better or scored better in certain areas, but that is almost always followed up with but I’m so glad to know where, where we’re struggling, because now I can fix it. I can actually know what to focus on to fix, and that, to me, is what it’s all about, is, yes, there’s a little bit of feelings attached to some of these things, maybe, but at the end of the day, we really want it to be good. We want it to be clear. We don’t want to be a 4 out of 10. We want to be a 10 out of 10. And what specifically do we need to do to get there? And that’s really what we’re trying to reveal with this. So I think, you know, everybody’s a little different, but I would say the reactions are typically a mix of that. It’s like, maybe an ouch, but a Oh, good. Let’s work on it. Christian Klepp  33:55 Absolutely, absolutely. Okay. So we’ve got brand summary, we’ve got fundamentals, then quality of messaging is the other part of it, right? Clay Ostrom  34:02 So, yeah, so this, this is, this is where the actual 4 out of 10 comes. We have these 10 points that we look at and we say, Okay, are you communicating these things clearly? Are you communicating who your target customer is, your category, your offering, where you’re differentiated benefits? Do you have any kind of concrete claim about what you do to support you know what you’re what you’re selling? Is the messaging engaging? Is it concise? You’ll see here a 7% on concise. That’s basically telling us that virtually no brands do a good job of being concise. Only about 7% get a green check mark on this, and kind of similar with the jargon and the vague words big struggle points with almost every brand. Christian Klepp  34:55 Streamline collaboration. Clay Ostrom  34:58 So we can see here with Slack. You know some of the jargon we got, KPIs (Key Performance Indicators), MQLs (Marketing Qualified Lead), if you’re in the space, you could argue like, oh, I kind of know what those things are. But depending on your role, you may not always know. In something like Salesforce marketing cloud, unless you’re a real Salesforce nerd, you probably have no idea what that is. But again, it’s just a way to quickly identify some of those weak points, things that we could improve to make our message more clear. Christian Klepp  35:27 Yes, yes. Okay, so that was the messaging analysis correct? Clay Ostrom  35:33 Yeah. Christian Klepp  35:33 Yeah. Okay. So what else have we got? Clay Ostrom  35:36 Yeah, so I think one other thing we could look at just for a sec, is differentiation, and this is this kind of plays off of what we looked at a minute ago with the positioning scores. But this is a way for us to look head to head with two different brands. So in this case, we’ve got Slack in the red and we’ve got Discord in the greenish blue. And I think of these, these patterns, as sort of the fingerprint of your brand. So where you Where are you strong? Where are you weak? And if we can overlay those two fingerprints on top of each other, we can see, where do we have advantages, and where does our competitor have advantages? So if we come down, we can sort of see, and this is again, for the nerds like me, to be able to come in and go deep, do kind of a deep dive on specifically, why did, why does Discord score better than Slack in certain areas. And at the bottom here we can see a kind of a quick summary. So slack is stronger in simplification, saving time, Discord has some better messaging around generating revenue, lowering costs, marketability. But again, this gives us a way to think about what are the things we want to double down on? So what do we want to actually be known for in the market? Because we can’t be known for everything. You know, buyers can maybe only remember a couple things about us. What are those couple things where we’re really strong, where we really stand out, and we’ve got some separation from the competitors. Christian Klepp  37:18 Right, okay, okay, just maybe we take a step back here, because I think this is great. It’s very detailed. It gets a bit granular, but I think it’s also going back to a conversation that you and I had previously about, like, Okay, why is it so important to be armed with this knowledge, especially if you’re in the marketing role, or perhaps even an agency talking to a potential client going in there already armed with the information about their competitors. And we were talking about this being a kind of like a trust building mechanism, right? For lack of a better description, right? Clay Ostrom  38:03 Yeah, I think to me, what I like about this, and again, this does come out of 10 years of doing work, this kind of work with clients as well, is it’s so easy to fall into a space of soft descriptions around things like positioning and just sort of using vague, you know, wordings or descriptions, and when you can actually put a number on it, which, again, it’s subjective. This isn’t. This isn’t an objective metric, but it’s a way for us to compare and contrast. It allows us to have much more productive conversations with clients, where we can say we looked at your brand, we we what based on our analysis, we see that you’re scoring a 10 and a 9 on simplicity and organization, for example. Is that accurate to you like do you think that’s what you all are emphasizing the most? Does that? Does that resonate and at the same time, we can say, but your competitors are really focused on there. They have a strong, strong message around generating revenue and lowering costs for their customers. Right now, you’re not really talking about that. Is that accurate? Is that like, what you is that strategically, is that what you think you should be doing so really quickly, I’ve now framed a conversation that could have been very loose and kind of, you know, well, what do you think your strategy is about? What do you know? And instead, I can say, we see you being strong in these three points. We see your competitors being strong in these three points. What do you think about that? And I think that kind of clarity just makes the work so much more productive with clients, or just again, working on your own brand internally. So what do you think about that kind of perspective? Christian Klepp  40:08 Yeah, no, no, I definitely agree with that. It’s always and I’ve been that type of person anyway that you know you go into a especially with somebody that hasn’t quite become a client yet, right? One of the most important things is also, how should I put this? Certainly the trust building part of it needs to be there. The other part is definitely a demonstration of competence and ability, but it’s also that you’ve been proactive and done your homework, versus like, Okay, I’m I’m just here as an order taker, right? And let’s just tell me what to do, and I’ll do it right? A lot and especially, I think this has been a trend for a long time already, but a lot of the clients that I’ve worked with now in the past, they want to, they’re looking for a partner that’s not just thinking with them, it’s someone that’s thinking ahead of them. And this type of work, you know what we’re seeing here on screen, this is the type of work that I would consider thinking ahead of them, right? Clay Ostrom  41:18 No, I agree. I think you framed that really well. Of we’re trying to build trust, because if we’re going to make any kind of recommendations around a change or a shift, they have to believe that we know what we’re talking about, that we’re competent, that we’ve done the work. And I think I agree with you. I think like this, it’s kind of funny, like we all, I think, on some base level, are attracted to numbers and scores. It just gives us something to latch on to. But I think it also, like you said, it gives you a feeling that you’ve done your work, that you’ve done your homework, you’ve studied, you’ve you’ve done some analysis that they themselves may have never done on this level. And that’s a big value. Christian Klepp  42:08 Yes, and a big part of the reason just to, just to build on what you said, a big part of the reason why they haven’t done this type of work is because it’s not so much. The cost is certainly one part of it, but it’s the time, it’s a time factor and the resource and the effort that needs to be put into it. Because, you know, like, tell me if you’ve never heard this one before, but there are some, there are some companies that we’ve been working with that don’t actually have a clearly, like, you know, a clear document on who their their target personas are, yeah, or their or their ICPs, never mind the buyer’s journey map. They don’t, they don’t even have the personas mapped out, right? Clay Ostrom  42:52 100% Yeah, it’s, and it’s, I think you’re right. It’s, it’s a mix of time and it’s a mix of just experience where, if you are internal with a brand, you don’t do this kind of work all the time. You might do it at the beginning. Maybe you do a check in every once in a while, but you need someone who’s done this a lot with a lot of different brands so that they can give you guidance through this kind of framework. But so it’s, you know, so some of it is a mix of, you know, we don’t have the time always to dig in like this. But some of it is we don’t even know how to do it, even if we did have the time. So it’s hopefully giving, again, providing some different frameworks and different ways of looking at it. Christian Klepp  43:41 Absolutely, absolutely. So okay, so we’ve gone through. What is it now, the competitor comparison. What else does the platform provide us that the listeners and the audience should be paying attention to here? Clay Ostrom  43:55 So I’ll show you two more quick things. So one is this message building section. So this is… Christian Klepp  44:03 Are you trying to put me out of a job here Clay? Clay Ostrom  44:07 Well, I’ll say this. So far in my experience with this, it’s not going to put us out of a job, but it is going to hopefully make our job easier and better. It’s going to make us better at the work we do. And that’s really, I think that’s, I think that’s kind of, most people’s impression of AI at this point is that it’s not quite there to replace us, but it’s sure, certainly can enhance what we do. Christian Klepp  44:36 Yeah, you’ll excuse me, I couldn’t help but throw that one out. Clay Ostrom  44:38 Yeah, I know, trust me, I’m this. It’s like I’m building a product that, in a sense, is undercutting, you know, the work that I do. So it is kind of a weird thing, but this message building section, which is a new part of the platform. It will come in, and you can see on the right hand side. And there’s sort of a quick summary of all these different elements that we’ve already analyzed. And then it’s going to give you some generated copy ideas, including, if I zoom in a little bit here, we’ve got an eyebrow category. This is again for Slack. It’s giving us a headline idea, stay informed without endless emails. Sub headline call to action, three challenges that your customers are facing, and then three points about your solution that help address those for customers. So it’s certainly not writing all of your copy for you, but if you’re starting from scratch, or you’re working on something new, or even if you’re trying to refresh a brand. I think this can be helpful to give you some messaging that’s hopefully clear. That’s something that I think a lot of messaging misses, especially in B2B, it’s, it’s not always super clear, like what you even do. Christian Klepp  45:56 Don’t get me started. Clay Ostrom  45:59 So hopefully it’s clear. It’s, you know, again, it’s giving you some different ideas. And that you’ll see down here at the bottom, you can, you can iterate on this. So we’ve got several versions. You can actually come in and, you know, you can edit it yourself. So if you say, like, well, I like that, but not quite that, you know, I can, you know, get my human touch on it as well. But yeah, so it’s a place to iterate on message. Christian Klepp  46:25 You can kind of look at it like, let’s say, if you’re writing a blog article, and this will give you the outline, right? Yeah. And then most of the AI that I’ve worked with to generate outlines, they’re not quite there. But again, if you’re starting from zero and you want to go from zero to 100 Well, that’ll, that’ll at least get you to 40 or 50, right? But I’m curious to know, because we’re looking at this now, and I think this, I mean, for me, this is, this is fascinating, but, like, maybe, maybe this will be part of your next iteration. But will this, will this generate messaging that’s already SEO optimized. Clay Ostrom  47:02 You know, it’s not specifically geared towards that, but I would say that it ends up being maybe more optimized than a lot of other messaging because it puts such an emphasis on clarity, it naturally includes words and phrases that I think are commonly used in the space more so than you know, maybe just kind of typical off the shelf Big B2B messaging, Christian Klepp  47:27 Gotcha. I had a question on the target persona that you’ve got here on screen, right? So how does the platform generate the information that will then populate that field because, and when I’m just trying to think about like, you know, because I’ve been, I’ve been in the space for as long as you have, and the way that I’ve generated target personas in the past was not by making a wild guess about, like, you know, looking at the brand’s website. It’s like having conducting deep customer research and listening to hours and hours of recordings, and from there, generating a persona. And this has done it in seconds. So… Clay Ostrom  48:09 Yeah, it’s so the way the system works in a couple different layers. So it does an initial analysis, where it does positioning, messaging analysis and category analysis, then you can generate the persona on top of that. So it takes all the learnings that it got from the category, from the product, from your messaging, and then develops a persona around that. And it’s, of course, able to also pull in, you know, the AI is able to reference things that it knows about the space in general. But I have found, and this is true. I was just having a conversation with someone who works on a very niche brand for a very specific audience, and I was showing him what it had output. And I said, Tell me, like, Don’t hold back. Like, is this accurate? He said, Yeah, this is, like, shockingly accurate for you know, how we view our target customer. So I think it’s pretty good. It’s not again, not going to be perfect. You’re going to need to do some work, and you still got to do the research, but, but, yeah. Christian Klepp  49:13 Okay, fantastic, fantastic. How do, I guess there’s the option, I see it there, like, download the PDF. So anything that’s analyzed on the platform can then be exported in a PDF format, right? Like, like, into a report. Clay Ostrom  49:28 Yeah, right now you can export the messaging analysis, or, sorry, the the messaging ideation that you’ve done, and then in the brand brief you can also, you can download a PDF of the brand brief as well. So, those are the two main areas. I’m still working on some additional exports of data so that people can pull it into a spreadsheet and do some other stuff with it. Christian Klepp  49:49 Fantastic, fantastic. That’s awesome, Clay. I’ve got a couple more questions before I let you go. But this has been, this has been amazing, right? Like and I really hope that whoever’s in the one listening and, most importantly, watching this, I hope that you really do consider like, you know, taking this for a test drive, right? How many I might have asked you this before, because, you know, I am somebody that does use, you know, that does a lot of this type of research. But how much time would you say companies would save by using Smoke Ladder? Clay Ostrom  50:24 It’s a good question. I feel like I’m starting to get some feedback around that with from our users, but I mean, for me personally, I would typically spend an hour or two just to get kind of up to speed initially, with a brand and kind of look at some of their competitors. If I’m doing a deep dive, though, if I’m actually doing some of the deeper research work, it could be several hours per client. So I don’t know. On a given week, it might depend on how many clients you’re talking to. Could be anywhere from a few hours to 10 hours or more, depending on how much work you’re doing. But, yeah, I think it’s a decent amount. Christian Klepp  51:07 Absolutely, absolutely. I mean, this definitely does look like a time saver. Here comes my favorite question, which you’re gonna look at me like, Okay, I gotta, I gotta. Clay Ostrom  51:17 Now bring it on. Let’s go. Christian Klepp  51:22 Folks that are not familiar with Smoke Ladder are gonna look at this, um, and before they actually, um, take it upon themselves to, like, watch, hopefully, watch this video on our channel. Um, they’re gonna look at that and ask themselves, Well, what is it that Smoke Ladder does that? You know that other AI couldn’t do, right, like, so I guess what I’m trying to say is, like, Okay, why would they use? How does the platform differ from something like ChatGPT, Perplexity or Claude, right? To run a brand analysis? Clay Ostrom  52:00 Yeah, no, I think it’s a great question. I think it’s sort of the it’s going to be the eternal AI question for every product that has an AI component. And I would say to me, it’s three things. So one is the data, which we talked about, and I didn’t show you this earlier, but there is a search capability in here to go through our full archive of all the brands we’ve analyzed, and again, we’ve analyzed over 6000 brands. So the data piece is really important here, because it means we’re not just giving you insights and analysis based on the brand that you’re looking at now, but we can compare and contrast against all the other brands that we’ve looked at in the space, and that’s something that you’re not going to get by just using some off the shelf standard LLM  (Large Language Model) and doing some, you know, some quick prompts with that. The next one, I think, to me that’s important is it’s the point of view of the product and the brand. Like I said, this is built off of 10 plus years of doing positioning and messaging work in the space. So you’re getting to tap into that expertise and that approach of how we do things and building frameworks that make this work easier and more productive that you wouldn’t get, or you wouldn’t know, just on your own. And then the last one, the last point, which is sort of the kind of like the generic software answer, is you get a visual interface for this stuff. It’s the difference between using QuickBooks versus a spreadsheet. You can do a lot of the same stuff that you do in QuickBooks and a spreadsheet, but wouldn’t you rather have a nice interface and some easy buttons to click that make your job way, way easier and do a lot of the work for you and also be able to present it in a way that’s digestible and something you could share with clients? So the visual component in the UI is sort of that last piece. Christian Klepp  54:01 Absolutely. I mean, it’s almost like UX and UI one on one. That’s, that’s pretty much like a big part of, I think what it is you’re trying to build here, right? Clay Ostrom  54:13 Yeah, exactly. It’s just it’s making all of those things that you might do in an LLM just way, way easier. You know, you basically come in, put in your URL and click a button, and you’re getting access to all the data and all the insights and all this stuff so. Christian Klepp  54:29 Absolutely, absolutely okay. And as we wrap this up, this has been a fantastic conversation, by the way, how can the audience start using Smoke Ladder, and how can they get in touch with you if they have questions, and hopefully good questions. Clay Ostrom  54:47 Yeah, so you can, if you go to https://smokeladder.com/ you can, you can try it out. Like I said, you can basically go to the homepage, put in a URL and get started. You don’t even have to create an account to do the initial analysis. But you can create FREE account. You can dig in and see, you know, play around with all the features, and if you use it more, you know, we give you a little bit of a trial period. And if you use it beyond that, then you can pay and continue to use it, but, but you can get a really good flavor of it for free. Christian Klepp  55:16 Fantastic, fantastic. Oh, last question, because, you know, it’s looking me right in the face now, industry categories. How many? How many categories can be analyzed on the platform? Clay Ostrom  55:26 Yeah, yeah. So right now, we have 23 categories in the system currently, which sounds like a lot, but when you start to dig into especially B2B, it’s we will be evolving that and continuing to add more, but currently, there’s 23 different categories of businesses in there. Christian Klepp  55:46 All right, fantastic, fantastic. Clay, man. This has been so awesome. Thank you so much for your time and for your patience and walking us through this, this incredible platform that you’ve built and continue to build. And you know, I’m excited to continue using this as it evolves. Clay Ostrom  56:06 Thank you. Yeah, no. Thanks so much. And you know, if anybody, you know, anybody who tries it out, tests it out, please feel free to reach out. We have, you know, contact info on there. You can also hit me up on LinkedIn. I spend a lot of time there, but I would love feedback, love getting notes, love hearing what’s working, what’s not, all those things. So yeah, anytime I’m always open. Christian Klepp  56:30 All right, fantastic. Once again, Clay, thanks for your time. Take care, stay safe and talk to you soon. Clay Ostrom  56:36 Thanks so much. Talk to you soon. Christian Klepp  56:37 All right. Bye for now.

Our conversation with  Dan Jaenicke, Director of B2B Strategy for MacPaw, starts out with how CleanMyMac for Business is evolving to serve SMB and enterprise customers. Dan discusses patch and policy management, security and compliance challenges, fast deployment with tools like Jamf, preserving a friendly Mac-native interface, and how customer feedback and a new Mac admin survey are shaping the future of the product.  This edition of MacVoices is brought to you by the MacVoices Dispatch, our weekly newsletter that keeps you up-to-date on any and all MacVoices-related information. Subscribe today and don't miss a thing. Show Notes: Chapters: [0:00] Setting the stage: MacPaw, B2B strategy, and enterprise focus[0:30] Introducing Dan Jänicke and his new role in B2B marketing[2:00] Launch of CleanMyMac business and early customer feedback[2:55] Consumer vs. B2B pain points and why enterprises are different[3:32] Fleet visibility, device health, and compliance needs at scale[6:01] Patch management as a key differentiator in the business product[7:22] Roadmap for group policies and staged rollouts for IT admins[8:44] Security expectations in enterprise environments[10:07] Fragmented policies across roles, departments, and access levels[11:55] Moving from SMB and mid-market into true enterprise capabilities[15:17] Competing with MDMs by focusing on simplicity and differentiation[17:21] Logistics of deploying to 1,000 devices and Jamf integration[20:08] Why quick, hours-level rollout is a competitive advantage[22:05] Complexity vs. usability in security and compliance tools[22:46] Preserving CleanMyMac's visual design and enjoyable UX for admins[24:08] Balancing simplicity with the depth enterprises demand[26:44] Design philosophy: making maintenance pleasant, not painful[27:53] Rising cyberattacks on SMBs and why every business is a target[29:05] Using Moonlock, patching, and good practices to reduce attack surface[31:07] Hidden costs of breaches for smaller organizations[33:24] Listening to customers and iterating the product weekly[33:38] Upcoming Mac admin survey and why MacPaw wants feedback[36:06] Being part of the Apple community, not just marketing to it[37:04] Closing thoughts, invitation to contact Dan, and future ambitions[38:02] Outro, support options, and how to stay connected Links: CleanMyMac CleanMyMac Business Guests: Dan Jaenicke is a seasoned Product Leader with over a decade of experience solving user challenges, leading global and local teams, and partnering with executive leadership to build impactful B2B and B2C SaaS products.  He has driven initiatives behind products launched in more than 125 countries, reaching over 50 million active users and 45,000+ paying businesses, and generating hundreds of millions in revenue.  Before joining MacPaw, Dan served as Director of Product Management at GoodRx. As MacPaw's Director of B2B Product Strategy, he now leads solutions such as CleanMyMac Business, driving innovation and growth across the company's business offerings. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

У меня в гостях Владлен Луцкий — бывший UX-дизайнер из Москвы, который после переезда в США совершенно неожиданно построил новую карьеру: теперь он создает надгробия в Калифорнии и ведет популярный TikTok про кладбища.В этом выпуске мы обсудили путь Владлена от политического переезда и первых случайных подработок в США до работы дизайнером надгробий в городке Колма — «столице мертвых». Разобрали, как выглядит полный цикл создания надгробия, из чего состоит его рабочий день и почему эта профессия требует точности, моторики и умения работать с человеческой памятью. Затронули темы денег и реального рынка этой индустрии, влияние AI на ручной труд, психологию клиентов, необычные заказы, а также то, как TikTok внезапно стал способом переработать сложные эмоции и найти свою аудиторию. Владлен честно рассказал, как такая работа изменила его самоощущение, чему научила и почему искать себя заново — нормально.Владлен Луцкий (Vlad Lutskii) - ex-UI/UX Designer в Национальной компьютерной корпорации (Москва). Сейчас создает дизайн надгробий в Сан-Франциско, ведет популярный TikTok канал.LinkedIn: https://www.linkedin.com/in/lutvlog/TikTok: https://www.tiktok.com/@vladlenisheTelegram: https://t.me/weeabooshkaГОРОД МЕРТВЫХ в Кремниевой долине: МРАЧНЫЕ истории Сан Франциско, из IT в работу на кладбище!https://www.youtube.com/watch?v=Yv_lYeZRQbcЗаписаться на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США):https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень):https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abТелеграм: https://t.me/prodcastUSAИнстаграм: https://www.instagram.com/prodcast.usТикТок: https://www.tiktok.com/@us.job⏰ Timecodes ⏰00:00 Начало6:00 Как проходил твой путь в США? Где работал после переезда?14:36 Как ты попал в дизайн надгробий?20:52 Как выглядит твой типичный рабочий день?29:32 Как выглядит процесс создания надгробия?39:53 Какие самые необычные заказы у тебя были?49:37 ИИ в работе дизайнера надгробий55:41 Сколько можно зарабатывать на этой работе?1:00:00 Как эта работа помогла тебе по-другому посмотреть на себя?1:03:33 Какие твои планы на будущее?1:08:40 Ты ведешь популярный TikTok про свою работу. Какая реакция людей?1:15:42 Какие 3 главных урока ты вынес из своего карьерного перехода?1:20:59 Что можешь пожелать тем, кто сейчас ищет свое место в Америке или думает о смене профессии?

In this episode, we explore one of the biggest shifts happening in the world of work right now: the rise of people–agent–robot partnerships.I break down insights from McKinsey's new report Agents, Robots, and Us and explain what this means for UX designers, product teams, and anyone working in digital experiences.We talk about:• how work is changing toward human + AI + robot collaboration• why most skills won't disappear, but evolve• why AI fluency is becoming essential for designers• the seven new job archetypes shaping future workflows• real examples of people–agent–robot systems• and why UX will play a central role in orchestrating these experiencesIf you're curious about how to work with AI in a practical, meaningful way, this episode gives you a simple and friendly overview of what's coming next.Mentioned:• McKinsey's Agents, Robots, and Us report• Neo robot

Our conversation with  Dan Jaenicke, Director of B2B Strategy for MacPaw, starts out with how CleanMyMac for Business is evolving to serve SMB and enterprise customers. Dan discusses patch and policy management, security and compliance challenges, fast deployment with tools like Jamf, preserving a friendly Mac-native interface, and how customer feedback and a new Mac admin survey are shaping the future of the product.  This edition of MacVoices is brought to you by the MacVoices Dispatch, our weekly newsletter that keeps you up-to-date on any and all MacVoices-related information. Subscribe today and don't miss a thing. Show Notes: Chapters: [0:00] Setting the stage: MacPaw, B2B strategy, and enterprise focus [0:30] Introducing Dan Jänicke and his new role in B2B marketing [2:00] Launch of CleanMyMac business and early customer feedback [2:55] Consumer vs. B2B pain points and why enterprises are different [3:32] Fleet visibility, device health, and compliance needs at scale [6:01] Patch management as a key differentiator in the business product [7:22] Roadmap for group policies and staged rollouts for IT admins [8:44] Security expectations in enterprise environments [10:07] Fragmented policies across roles, departments, and access levels [11:55] Moving from SMB and mid-market into true enterprise capabilities [15:17] Competing with MDMs by focusing on simplicity and differentiation [17:21] Logistics of deploying to 1,000 devices and Jamf integration [20:08] Why quick, hours-level rollout is a competitive advantage [22:05] Complexity vs. usability in security and compliance tools [22:46] Preserving CleanMyMac's visual design and enjoyable UX for admins [24:08] Balancing simplicity with the depth enterprises demand [26:44] Design philosophy: making maintenance pleasant, not painful [27:53] Rising cyberattacks on SMBs and why every business is a target [29:05] Using Moonlock, patching, and good practices to reduce attack surface [31:07] Hidden costs of breaches for smaller organizations [33:24] Listening to customers and iterating the product weekly [33:38] Upcoming Mac admin survey and why MacPaw wants feedback [36:06] Being part of the Apple community, not just marketing to it [37:04] Closing thoughts, invitation to contact Dan, and future ambitions [38:02] Outro, support options, and how to stay connected Links: CleanMyMac CleanMyMac Business Guests: Dan Jaenicke is a seasoned Product Leader with over a decade of experience solving user challenges, leading global and local teams, and partnering with executive leadership to build impactful B2B and B2C SaaS products.  He has driven initiatives behind products launched in more than 125 countries, reaching over 50 million active users and 45,000+ paying businesses, and generating hundreds of millions in revenue.  Before joining MacPaw, Dan served as Director of Product Management at GoodRx. As MacPaw's Director of B2B Product Strategy, he now leads solutions such as CleanMyMac Business, driving innovation and growth across the company's business offerings. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Ethereum for the first time ever has rolled out a second major upgrade within a year. Fusaka has gone live less than six months after Pectra. In this Unchained podcast episode, Offchain Labs Prysm Team Ethereum Cored Developer Preston Van Loon joins Protocol Watch founder Christine D. Kim to unpack how Fusaka would make transactions cheaper, improve the UX for users and impact layer 2 chain operators. They also discuss the relatively short time to deployment and how this is impacting client and layer 2 teams. Preston also explains why he is less nervous about Fusaka than he was about Pectra and the indicators of success. Plus what comes next after the hard fork. Thank you to our sponsors! Uniswap  Mantle  Guests: Christine D. Kim, Host of Ready for Merge Podcast and writer of ​​ACD After Hours Preston Van Loon, Ethereum Core Developer working at Prysm by Offchain Labs Previous appearances on Unchained:  How Will ETH React to Ethereum's Shanghai Upgrade? Links: Unchained: Ethereum Fusaka Upgrade Clears Final Test Before December Launch Ethereum Gave Away Too Much for Too Long. Will Its Pivot Be Enough? Timestamps:

On this episode, I breakdown eight little-known mobile apps that each generate around $50,000+ per month and explain why they work. I walk through specific examples—from AI video generators and Bible note-takers to vinyl pricing tools and AI English tutors—then explain the common patterns behind their success. The second half of the episode is devoted to six clear frameworks for spotting high-potential niches and designing simple, sticky mobile apps around them. I end the episode with a batch of extra startup ideas built on high-intent inputs like photos, videos, and scans so listeners can “vibe code” their own profitable apps in 2026. Timestamps 00:00 – Intro 02:02 – App 1: Flashloop: AI Video Generator for Viral Character Clips 03:26 – App 2: Bible Note-Taker & Prayer Recorder for Churchgoers 06:35 – App 3: AI Home Decor Interior Design App and Visualization Pain 08:48 – App 4: Moji Lab: Emoji/Sticker Packs and Expression as a Business 11:43 – App 5: Vinyl Snap: Scanning Vinyl Records for Accurate Pricing 13:51 – App 6: Genora AI: Bundling Multiple LLMs into One Assistant 16:45 – App 7: Logo Maker: AI Generated Logos 18:57 – App 8: Menu Fit: Healthy Eating Recommendations at Any Restaurant 20:44 – App 9: LangLearn: Personal AI English Tutor and Duolingo Comparison 22:37 – App 10: Zozo Fit 3D Body Scanner: Tracking Body Change, Not the Scale 25:04 – The “ 50K MRR App Framework” 31:30 – Bonus Startup Ideas Key Points Profitable mobile apps often do one high-intent, recurring job for a specific identity-based group, then charge a subscription around that behavior. Many breakout apps turn photos, videos, or scans (high-signal inputs) into premium insights like valuations, design plans, or tailored recommendations. Simple, one-screen interfaces with clear before/after transformations make these AI-powered tools feel approachable and addictive to use. The “50K MRR App Framework” combines spending power, repeating problems, visual inputs, accuracy needs, and bad existing tools to guide idea selection. New app ideas can be generated by pairing these frameworks with underserved niches like golf swings, pet health, used cars, or RV layouts. Numbered Section Summaries Why Mobile Apps Are Printing Money in 2026 The host opens by arguing that now is an incredible time to build mobile apps, pointing to new apps that have appeared “out of nowhere” and reached $50K+ per month. He cites a tweet listing 10 such apps launched in the last 180 days and sets the goal of reverse engineering what makes them work so listeners can apply the patterns to their own ideas. The 50K MRR App Framework The “50K MRR App Framework”: find a group that (1) spends money, (2) has a repeating problem, (3) uses photos/videos as inputs, (4) cares deeply about accuracy, and (5) suffers from bad existing tools. He walks through how vinyl collectors fit every criterion and stresses that while the framework is simple, execution still requires great UX, clean UI, and the right niche. The goal is to make idea selection easier by checking all five boxes before committing to an app. Six Supporting Frameworks for Designing Hit Apps I expands into six additional frameworks: start with a “nerve” (identity, urgency, stakes, repetition); solve one job that always must be done; build around a single high-intent input (photo, address, object); use AI to unlock a premium insight (price, diagnosis, summary, design plan); wrap it in a simple, desirable interface (one screen, one button, one transformation); and create a recurring behavior loop that pulls users back daily or weekly. He summarizes these in a conceptual pipeline: high-intent input → AI premium insight → simple interface → recurring loop → $50K MRR. 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: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Thorsten Jaeckel, Head of Product at 0x and Matcha, discusses the biggest hurdles facing DeFi adoption—including regulatory uncertainty, user experience challenges, security concerns, and the need for better education. Discover what it will take for decentralized finance to reach the masses and get a glimpse of the path forward for DeFi. Key Takeaways:  How the rise of Layer 2 solutions are shaping (and complicating) the next phase of DeFi. What's holding back tokenized equities, and what it'll take to overcome regulatory hurdles. The significance of execution transparency in building user trust. The importance of creating DeFi products that feel as seamless as Web2 applications. How Matcha is making it easier for newcomers to start trading in DeFi. Guest Bio: Thorsten Jaeckel is the Head of Product at 0x and Matcha, where he leads product development for one of the top decentralized exchange aggregators in Web3. He's been building in crypto since 2017 and previously held product leadership roles at Coinbase and Square. Thorsten focuses on making DeFi more intuitive and trustworthy, with a particular interest in multi-chain UX and execution transparency. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

Send us a textWe break down Cloudflare's outage, why a small config change caused big waves, and what better guardrails could look like. We then unpack AWS and Google's cross‑cloud link, Megaport's move into bare metal and GPUs, Webex adding deepfake defenses, and a new startup aiming to tune AI networks at microsecond speed.• Cloudflare outage root cause and fallout• Automation guardrails, validation and rollbacks• AWS–Google cross‑cloud connectivity preview• Pricing, routing and policy gaps to watch• Megaport acquires Latitude SH for compute• Bare metal and GPU as a service near clouds• Webex integrates deepfake and fraud detection• Accuracy risks, UX and escalation paths• Apstra founders launch Aria for AI networks• Microburst telemetry, closed‑loop control and SLAsIf you enjoyed this please give us some feedback or share this with a friend we would love to hear from you as well and we will see you in two weeks with another episodePurchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Monthly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain II. Purpose of the Interview The interview aims to: Highlight alternative pathways to high-paying careers without a traditional four-year degree. Showcase how UXD Academy, founded by Everett Swain II, empowers individuals—especially from underserved communities—to leverage AI and design skills for financial and academic freedom. Inspire entrepreneurs and small business owners to embrace AI-driven opportunities. Key Takeaways AI as an Opportunity, Not a Threat AI can amplify human capabilities rather than replace them. Small businesses see 80% positive ROI from AI adoption, making it a major growth lever. Career Without a Degree Over 40% of tech companies no longer require degrees, focusing instead on certifications and portfolios. UXD Academy teaches AI experience design and automation for learners as young as 13. Everett’s Journey Started as a graphic designer, pivoted to UX after self-learning via “YouTube University.” Built UXD Academy to democratize access to tech careers and fight industry gatekeeping. Business Model UXD Academy offers free resources and paid guidance. Created Our Table, an AI experience agency employing top students for real-world projects. Impact on Underserved Communities Programs can transform lives, moving individuals from low-income jobs to salaries of $75K–$140K within 3 years. Focus on youth (starting at age 13) to break cycles of poverty and limited exposure. Future AI Trends for Small Businesses AI agents, automated workflows, and AI-powered customer experiences will dominate in the next 12–18 months. Legacy Everett aims to help 100,000 youth create their own reality through tech education. Notable Quotes On AI’s role:“Think of AI as the smartest intern you know—you can train it to work specifically for you.” On education:“You don’t need a degree for what I do. Over 40% of tech companies don’t care about degrees anymore—they care about your portfolio.” On opportunity:“If you follow what I’m telling you, you can change your life in under a year and a half.” On underserved communities:“For the first time in history, people of color can bridge the gap to academic and financial freedom without a four-year degree.” On legacy:“If I can help 100,000 kids create their own reality, that will be my legacy.” #SHMS #STRAW #BESTSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain II. Purpose of the Interview The interview aims to: Highlight alternative pathways to high-paying careers without a traditional four-year degree. Showcase how UXD Academy, founded by Everett Swain II, empowers individuals—especially from underserved communities—to leverage AI and design skills for financial and academic freedom. Inspire entrepreneurs and small business owners to embrace AI-driven opportunities. Key Takeaways AI as an Opportunity, Not a Threat AI can amplify human capabilities rather than replace them. Small businesses see 80% positive ROI from AI adoption, making it a major growth lever. Career Without a Degree Over 40% of tech companies no longer require degrees, focusing instead on certifications and portfolios. UXD Academy teaches AI experience design and automation for learners as young as 13. Everett’s Journey Started as a graphic designer, pivoted to UX after self-learning via “YouTube University.” Built UXD Academy to democratize access to tech careers and fight industry gatekeeping. Business Model UXD Academy offers free resources and paid guidance. Created Our Table, an AI experience agency employing top students for real-world projects. Impact on Underserved Communities Programs can transform lives, moving individuals from low-income jobs to salaries of $75K–$140K within 3 years. Focus on youth (starting at age 13) to break cycles of poverty and limited exposure. Future AI Trends for Small Businesses AI agents, automated workflows, and AI-powered customer experiences will dominate in the next 12–18 months. Legacy Everett aims to help 100,000 youth create their own reality through tech education. Notable Quotes On AI’s role:“Think of AI as the smartest intern you know—you can train it to work specifically for you.” On education:“You don’t need a degree for what I do. Over 40% of tech companies don’t care about degrees anymore—they care about your portfolio.” On opportunity:“If you follow what I’m telling you, you can change your life in under a year and a half.” On underserved communities:“For the first time in history, people of color can bridge the gap to academic and financial freedom without a four-year degree.” On legacy:“If I can help 100,000 kids create their own reality, that will be my legacy.” #SHMS #STRAW #BESTSee omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain II. Purpose of the Interview The interview aims to: Highlight alternative pathways to high-paying careers without a traditional four-year degree. Showcase how UXD Academy, founded by Everett Swain II, empowers individuals—especially from underserved communities—to leverage AI and design skills for financial and academic freedom. Inspire entrepreneurs and small business owners to embrace AI-driven opportunities. Key Takeaways AI as an Opportunity, Not a Threat AI can amplify human capabilities rather than replace them. Small businesses see 80% positive ROI from AI adoption, making it a major growth lever. Career Without a Degree Over 40% of tech companies no longer require degrees, focusing instead on certifications and portfolios. UXD Academy teaches AI experience design and automation for learners as young as 13. Everett’s Journey Started as a graphic designer, pivoted to UX after self-learning via “YouTube University.” Built UXD Academy to democratize access to tech careers and fight industry gatekeeping. Business Model UXD Academy offers free resources and paid guidance. Created Our Table, an AI experience agency employing top students for real-world projects. Impact on Underserved Communities Programs can transform lives, moving individuals from low-income jobs to salaries of $75K–$140K within 3 years. Focus on youth (starting at age 13) to break cycles of poverty and limited exposure. Future AI Trends for Small Businesses AI agents, automated workflows, and AI-powered customer experiences will dominate in the next 12–18 months. Legacy Everett aims to help 100,000 youth create their own reality through tech education. Notable Quotes On AI’s role:“Think of AI as the smartest intern you know—you can train it to work specifically for you.” On education:“You don’t need a degree for what I do. Over 40% of tech companies don’t care about degrees anymore—they care about your portfolio.” On opportunity:“If you follow what I’m telling you, you can change your life in under a year and a half.” On underserved communities:“For the first time in history, people of color can bridge the gap to academic and financial freedom without a four-year degree.” On legacy:“If I can help 100,000 kids create their own reality, that will be my legacy.” #SHMS #STRAW #BESTSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Rob is the creator of Kyoto, an implementation of compact block filters that makes it easier for developers to build more private bitcoin wallets. Andreas is the creator of Bitcoin Safe, an app designed to make it easier to use hardware wallets securely.Andreas on Nostr: https://primal.net/p/nprofile1qqsqd0y6klqxew4glwggn63jvumrgprnl32tw7hpuzfhv6msgf7y3agm756qu Bitcoin Safe on Nostr: https://primal.net/p/nprofile1qqsyz7tjgwuarktk88qvlnkzue3ja52c3e64s7pcdwj52egphdfll0cq9934g Bitcoin Safe on X: https://x.com/BitcoinSafeOrgKyoto on Github: https://github.com/rustaceanrob/kyoto2140: https://2140.devEPISODE: 185BLOCK: 926163PRICE: 1099 sats per dollar(00:03:04) Bitcoin Dev Kit(00:04:39) Andreas (Bitcoin Safe) and Rob (Kyoto)(00:05:58) What is BDK? Goals, safety, and language bindings(00:09:27) Why BDK matters for UX, testing, and reliability(00:09:50) Kyoto origin story and compact block filters vision(00:13:21) Privacy model: servers vs. compact block filters(00:19:39) Do compact block filters work on mobile? Performance tradeoffs(00:23:55) Kyoto as a Rust reference client for BIP157/158(00:24:35) Bitcoin Safe overview: desktop cold storage with hardware signers(00:25:40) Using compact block filters in Bitcoin Safe: initial sync vs. daily speed(00:28:27) Why connect your own node and peer pools for CBF(00:33:14) Design choice: hardware-only wallets and setup wizard(00:36:29) Differentiating from Sparrow: private sync and Nostr-based multisig coordination(00:39:08) Will Sparrow adopt compact block filters? Considerations and UX(00:48:49) Developer ecosystems: 2140, OpenSats, and in-person collaboration(00:50:38) Making CBF the default: UX, education, and recovery flow(00:52:56) Electrum server defaults and operational notes(00:53:50) Birth heights, segwit/taproot start points, and future optimizations(00:56:17) Address reuse, scanning guarantees, and performance benchmarks(01:00:13) Bandwidth vs. compute: where the real bottlenecks are(01:00:19) Closing discussion, calls to action, and advice for new devsmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyznostr: https://primal.net/odell

Summary:This week on Next in Media, Mike Shields talks with Erick Opeka, President & Chief Strategy Officer at Cineverse and board member at the startup Micro Co. Opeka breaks down how short-form “micro-dramas”—already attracting hundreds of millions of daily viewers in China—are taking shape in the U.S. and why they could become a $20 billion category.He explains how Cineverse's 22 streaming services, proprietary Matchpoint technology, and deep ad-tech stack position it to lead this wave. From Quibi's missteps to AI-driven efficiencies, Opeka shares how the next generation of vertical video could transform storytelling, advertising, and the very idea of television.⭐ Key Highlights

Michelle Parsons is a dynamic product leader who has led high-growth teams at Kayak, Spotify, Netflix, Hinge, and Lex. Her passion for building community and embracing new challenges has recently brought her to a leadership role in a new startup that helps people reconnect to themselves and one another. In this episode of Product Momentum, Michelle joins Sean and Dan to talk about “making bets” – not just the seductive big bets that promise game-changing innovation – but also the smaller bets and quick hits that also play important roles in delivering value, validating assumptions, and mitigating risk. Here's what we learned: The Balanced Portfolio Framework At the heart of Michelle's thinking is the notion of the Balanced Portfolio Framework – an idea she developed while leading product for kids' content at Netflix. Under this framework, your roadmap is divided into three buckets – big bets, smaller bets, and quick hits – that help you pursue transformational innovation while delivering consistent value. As you'll hear, connecting the dots between them helps to ensure that product work is driven by the value delivered to users and your business. Big bets start with user insights and clear hypotheses Big bets are the bold, strategic moves that are super-impactful, but also come with a great deal of uncertainty. They start with user insights and clear hypotheses that address the following questions: What need are we trying to solve? Why does it matter to our users? What metric will this move – and why does that metric matter for business impact? “These are the things that everyone wants to work on,” Michelle adds. “But they're never just ‘cool ideas.' They're the big innovative features that bring your strategy to life. But they come with a ton of unknowns. Super impactful, but really, really risky.” Small bets preserve resources and de-risk the big bet Think of small bets as the “meat and potatoes” of your roadmap – incremental improvements like polishing UX, refining workflows, or optimizing metrics. Here's what Michelle says: “The small bets are really about the optimizations and enhancements, the things that consistently create incremental impact for your users. Not only do they touch on macro metrics like retention, engagement, and delight, but they also help to de-risk the big bets.” Quick hits are the targeted work that accelerate learning We're all familiar with those small, fast, low-cost experiments or enhancements. These are the low-hanging fruit that support rapid learning. “A quick hit is a learning task,” Michelle adds – “not to be confused with a quick win.” Certainly, they can also be quick wins, but “quick hits are really this body of work, discreetly tied a hypothesis or a data point that you want to prove out further.” Use storytelling to align stakeholders around ‘why' Michelle emphasizes that roadmap planning is not just an exercise in listing features, but a storytelling exercise. Because many stakeholders – executives, founders, investors –don't live in the product trenches. To get buy-in, you need to clearly articulate: What problem we're solving, for whom, why it matters, and how this work moves the needle. Be sure to watch/listen to our entire conversation with Michelle, so that you can catch her thoughts about: How her team at Netflix utilized the Balanced Portfolio Framework. The role AI can play in balancing bets that deliver user benefit and business value. Michelle’s new start-up plans for building connections and community. The post 177 / Big Bets Are Back — Why They Need a Balanced Approach, with Michelle Parsons appeared first on ITX Corp..

Ever had trouble defining UX? Confused by all the definitions you've heard? You're not alone. In this episode, Darren demystifies the definition of UX, provides some key insights, and explains why the ability to properly define UX is critical to the discipline.REMINDER: Video is available for this episode via select resources. #ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldouxBookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

Sponsored by Auth0 for Startups → 1-year free https://auth0.com/startups/vip Auth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. VC PROFILE: Dave Lambert, Founder of Right Side Capital Management https://www.linkedin.com/in/davidlambert55/

In this conversation, Peter discusses the upcoming Fusaka upgrade for Ethereum, highlighting its potential benefits and the current trends in the Ethereum ecosystem. He also addresses significant security concerns in DeFi, particularly the recent Yearn Finance incident, and emphasizes the importance of robust security architecture in blockchain technology. The discussion further compares Ethereum's evolving programming paradigms with those of Cardano, showcasing the latter's foundational security advantages.TakeawaysEthereum is set for a significant upgrade with the Fusaka upgrade.The supply of Ethereum on exchanges is decreasing, indicating a trend.A whale recently cashed in on a massive ETH investment after 10 years.The Fusaka upgrade introduces Peer Data Availability Sampling for efficiency.Lower transaction costs and improved UX are key features of the upgrade.Yearn Finance suffered a major security breach despite multiple audits.Real security in blockchain requires foundational changes, not just audits.Cardano's architecture emphasizes security and has never been compromised.Ethereum is adopting programming paradigms similar to Cardano's for better security.Market reactions to upgrades often involve initial spikes followed by profit-taking.Chapters00:00 Ethereum's Upcoming Fusaka Upgrade02:53 Security Concerns in DeFi: The Yearn Finance Incident06:06 The Importance of Security Architecture in Blockchain09:04 Comparing Ethereum and Cardano: A Shift in Programming ParadigmsDISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.

In this special live episode from SaaS Summit Benelux in Amsterdam, Joran sits down with Roelof Otten, founder of SaaSmeister, to explore How PLG Will Change in 2026: AI Agents, Onboarding & Hybrid GTM. Together, they break down the biggest shifts coming to B2B SaaS go-to-market—from the rise of hybrid motions and the evolution of sales roles to the transformative impact of AI-powered demos, agents, and conversational interfaces.Roelof shares actionable, stage-specific insights for founders at every level. You'll hear why PLG is becoming a company-wide strategy instead of a product feature, how onboarding is expanding beyond the UI, why freemium is harder for AI-native products, and what it really takes to build data tracking that supports growth instead of slowing it down.Whether you're moving from sales-led to product-led, building a hybrid GTM, or preparing your SaaS product for an AI-first future, this episode offers a clear roadmap for navigating the changes ahead and meeting buyers where they want to be in 2026.Tune in to learn how to implement PLG effectively, empower your sales team in a consultative model, integrate AI responsibly, and build growth loops that compound over time.Key Timecodes(0:00) – B2B SaaS, PLG, AI onboarding, AI demos, product-qualified pipeline, GTM 2026, SaaS Summit(0:52) – B2B SaaS podcast(0:58) – Roelof Otten, SaaSmeister, PLG(1:07) – GTM 2026, PLG trends(1:42) – Hybrid GTM, PLG, sales-led(2:36) – AI GTM, AI agents, AI demos(3:12) – Interactive demos, AI sales assistant(3:50) – Buyer enablement, AI demo(4:20) – In-product AI, trial support(4:36) – PLG transformation, sales alignment(5:21) – Consultative sales, upsell, PQLs(5:43) – PLG funnel, activation, expansion(6:00) – Conversational UI, AI UX(6:52) – UX transition(7:25) – AI platform, data layer, models(7:37) – MCP, AI integrations, ChatGPT, Claude(8:10) – AI privacy, security, compliance(8:46) – Build vs buy AI, LLMs(9:22) – PLG first, SaaS trial(9:38) – Reditus, SaaS affiliate(10:22) – AI costs, freemium(10:35) – Freemium strategy, CAC, churn(11:39) – Referrals, partnerships, affiliate growth(12:33) – In-app referrals, incentives(13:06) – Onboarding, nurture, reactivation(13:57) – Signup friction, JTBD, ICP(14:57) – Personalized onboarding(15:14) – Founder-led sales, JTBD, messaging(15:45) – ICP focus, activation metrics(16:39) – Product analytics, event tracking(17:01) – Roelof Otten, SaaSmeister(17:15) – Podcast outro, sponsor, Reditus

- Traffic Lights with AI and GPS - "The Big Short" Investor Targets Tesla - Tesla's China Sales Up - Chinese Take 38% Global Market Share - New Huawei UX Aimed at Global Markets - Ford Making Europe-Only Bronco - Momenta Files for IPO - NVIDIA's Open Source AV Software - Toyota Teases Sports Car Assault

- Traffic Lights with AI and GPS - "The Big Short" Investor Targets Tesla - Tesla's China Sales Up - Chinese Take 38% Global Market Share - New Huawei UX Aimed at Global Markets - Ford Making Europe-Only Bronco - Momenta Files for IPO - NVIDIA's Open Source AV Software - Toyota Teases Sports Car Assault

Wenn die Digitalisierung fehlschlägt: The London Ambulance System DisasterWas passiert, wenn Politik alles automatisieren will, ein starres Pflichtenheft ohne Tests verabschiedet und eine kleine Agentur in Rekordzeit ein hochkritisches System auf Visual Basic liefern soll? 1992 ging das Notrufsystem des London Ambulance Service mit einem Big Bang Rollout live. Ohne vollwertige Schulung, ohne belastbare Lasttests und ohne echten Backup-Plan. Das Ergebnis: Fehldispatches, endlose Wartezeiten, Ausnahmezustand in der Leitstelle und ein technischer Kollaps durch ein simples Memory Leak.In dieser Episode sprechen wir über den gesamten Projektverlauf vom London Ambulance System Disaster: Von der Zettelwirtschaft mit Förderband über ein überambitioniertes Automatisierungsvorhaben, NIH-Syndrom in der Ausschreibung, unrealistische Deadlines und Budgets, fehlendes Projektmanagement sowie Quality Assurance. Wir beleuchten die Live-Inbetriebnahme im Oktober 1992, GPS- und Statusprobleme in den Ambulanzen, die Exception-Flut auf den Monitoren, das ungetestete Failover und die Folgen für Personal, Vertrauen und Öffentlichkeit.Wir ordnen das Desaster für die Tech Community ein und ziehen Parallelen zu heute: AI- und Cloud-Rollouts ohne Fallback, Fix-forward statt Rollback, End-to-End- und Lasttests mit realistischen Szenarien, SRE-Praktiken, soziotechnische Systeme, UX in kritischen Workflows und die ethische Verantwortung von Entwicklerinnen. Außerdem: moderne Beispiele wie die Boeing 737 Max und Pandemie-Apps, die zeigen, wie zeitlos diese Learnings sind.Bonus: Das Kernsystem lief auf Visual Basic unter Windows 3. Klingt retro, war aber alles andere als ein Retro-Game.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

Ethereum is transparent by design, and that's a problem if you don't want your entire financial life on display. Rand Hindi, co-founder of Zama, joins us to explain how fully homomorphic encryption (FHE) can turn Ethereum into an encrypted, confidential blockchain where contracts stay composable and UX feels exactly the same. We get into why blockchains were public in the first place, why “anonymous addresses” were never enough, how FHE compares to ZK and MPC, and what a world of private DeFi, encrypted stablecoins, and on-chain “digital immortality” could look like.  ------

The interest in “customer insights” is higher than ever, and more people are interested in both research insights and carrying out research on their own. But, who's making sure research is done well? Therese sits down with Ned Dwyer, CEO and co-founder of Great Question, to talk about the balance between access and rigor in UX research. They discuss the need for democratization charters, how AI is reshaping research roles, and why enabling good research at scale is as much a cultural challenge as it is a technical one.Connect with Ned Dwyer: LinkedInLearn more about Great QuestionSubscribe to Great Question's NewsletterLearn about UX: nngroup.com/learningRelated NN/g Courses & Articles:ResearchOps: Scaling User Research (UX Certification course)Democratize Research in 5 Steps (free article)Democratization of UX (13-min video)

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Dax Raad, co-founder of OpenCode, for a wide-ranging conversation about open-source development, command-line interfaces, the rise of coding agents, how LLMs change software workflows, the tension between centralization and decentralization in tech, and even what it's like to push the limits of the terminal itself. We talk about the future of interfaces, fast-feedback programming, model switching, and why open-source momentum—especially from China—is reshaping the landscape. You can find Dax on Twitter and check an example of what can be done using OpenCode in this tweet.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop and Dax Raad open with the origins of OpenCode, the value of open source, and the long-tail problem in coding agents. 05:00 They explore why command line interfaces keep winning, the universality of the terminal, and early adoption of agentic workflows. 10:00 Dax explains pushing the terminal with TUI frameworks, rich interactions, and constraints that improve UX. 15:00 They contrast CLI vs. chat UIs, discuss voice-driven reviews, and refining prompt-review workflows. 20:00 Dax lays out fast feedback loops, slow vs. fast models, and why autonomy isn't the goal. 25:00 Conversation turns to model switching, open-source competitiveness, and real developer behavior. 30:00 They examine inference economics, Chinese open-source labs, and emerging U.S. efforts. 35:00 Dax breaks down incumbents like Google and Microsoft and why scale advantages endure. 40:00 They debate centralization vs. decentralization, choice, and the email analogy. 45:00 Stewart reflects on building products; Dax argues for healthy creative destruction. 50:00 Hardware talk emerges—Raspberry Pi, robotics, and LLMs as learning accelerators. 55:00 Dax shares insights on terminal internals, text-as-canvas rendering, and the elegance of the medium.Key InsightsOpen source thrives where the long tail matters. Dax explains that OpenCode exists because coding agents must integrate with countless models, environments, and providers. That complexity naturally favors open source, since a small team can't cover every edge case—but a community can. This creates a collaborative ecosystem where users meaningfully shape the tool.The command line is winning because it's universal, not nostalgic. Many misunderstand the surge of CLI-based AI tools, assuming it's aesthetic or retro. Dax argues it's simply the easiest, most flexible, least opinionated surface that works everywhere—from enterprise laptops to personal dev setups—making adoption frictionless.Terminal interfaces can be richer than assumed. The team is pushing TUI frameworks far beyond scrolling text, introducing mouse support, dialogs, hover states, and structured interactivity. Despite constraints, the terminal becomes a powerful “text canvas,” capable of UI complexity normally reserved for GUIs.Fast feedback loops beat “autonomous” long-running agents. Dax rejects the trend of hour-long AI tasks, viewing it as optimizing around model slowness rather than user needs. He prefers rapid iteration with faster models, reviewing diffs continuously, and reserving slower models only when necessary.Open-source LLMs are improving quickly—and economics matter. Many open models now approach the quality of top proprietary systems while being far cheaper and faster to serve. Because inference is capital-intensive, competition pushes prices down, creating real incentives for developers and companies to reconsider model choices.Centralization isn't the enemy—lack of choice is. Dax frames the landscape like email: centralized providers dominate through convenience and scale, but the open protocols underneath protect users' ability to choose alternatives. The real danger is ecosystems where leaving becomes impossible.LLMs dramatically expand what individuals can learn and build. Both Stewart and Dax highlight that AI enables people to tackle domains previously too opaque or slow to learn—from terminal internals to hardware tinkering. This accelerates creativity and lowers barriers, shifting agency back to small teams and individuals.

In this special coach takeover episode Erin, one of the coaches inside Career Strategy Lab's UX job search accelerator, breaks down the three most important things UX and product professionals should focus on in Q4 to set themselves up to get hired in Q1 of 2026.Whether you're feeling stuck, doubting your materials, overwhelmed by your portfolio, or unsure what support you actually need, this episode gives you a strategic and human approach to moving your job search forward.Erin shares what she and the CSL team are seeing every week while reviewing resumes, portfolios, and LinkedIn profiles—and the biggest patterns that determine whether someone gains traction or stays stuck in place.What You'll Learn in This Episode:✔️ Why you must rethink who you're getting job search feedback from✔️ How inaccurate feedback erodes confidence—and what to do instead✔️ The “back to basics” portfolio reset that outperforms flashy trends✔️ Why hiring managers want clarity over cleverness (and no, you don't need animations)✔️ How to build trust through your case study storytelling✔️ How to determine what level of support you actually need—structure, community, coaching, or therapy✔️ Why Q4 is the perfect time to prepare for Q1 hiring surgesTimestamps:00:00 Introduction to Career Strategy Lab00:38 Three Key Strategies for Getting Hired in Q1 202601:11 Assessing Feedback on Your Career Materials05:50 Back to Basics: Improving Your Portfolio09:19 Getting the Support You Need16:04 Recap and Final Thoughts18:49 Conclusion and Additional Resources19:32 Special Message for Job Seekers

In most industries, if you've got a solid idea, a few engineers, and a working prototype, you can at least get in the game. Professional sports is not one of those industries. When Jordy Leiser co-founded Jump with Alex Rodriguez and Marc Lore, he wasn't just building software — he was trying to rebuild the entire fan experience from the ground up, in a business dominated by legacy players like Ticketmaster.  Four years later, his company is powering the digital backbone for teams like the Minnesota Timberwolves and North Carolina Courage. In this episode, Jordy explains what it actually takes to break into a closed industry, why he reverse-engineers every funding round before he raises it, and the biggest mistake he refused to repeat as a second-time founder. RUNTIME 53:07 EPISODE BREAKDOWN (1:12) Breaking into pro sports, rebuilding fan experience, and reverse-engineering fundraising. (2:03) How Stella Connect (customer service) laid the foundation for Jump (customer experience for fans). (2:58) What Jump does today: a unified fan experience + data platform for teams. (4:11) The unusual founding plan: 3-4 years of R&D, designed to launch with an NBA franchise from day one. (5:46) Why sports is nothing like building a typical SaaS startup — more like a “car company” level of complexity. (6:48)The true barrier: a near-monopoly in ticketing that stops innovation cold. (7:59) Selling into a market where fans have low expectations — and why demand is obvious but still untapped. (9:54) Early customers as classic early adopters — every team already knows the pain points intimately. (11:25) The first hypothesis they had to kill: incumbents don't want to integrate or share data. At all. (12:32) Designing for the actual fan demographic: season ticket holders skew 50+, so “cutting-edge UX” isn't always the answer. (13:25) Jordy's advice to founders: get out of the building, talk to insiders, but keep your “child's mind.” (15:06) Sports as an industry you can't “hack into” — it works more like fashion or Hollywood. (17:31) Moments when he realized he was losing stakeholders — and why being “comfortable in the uncomfortable” is essential. (18:03) Early would-be partners who backed out, the impact on morale, and what they learned from those rejections. (19:45) Jump's origin as a “dynamic seating” idea — and why they had to build the entire platform instead. (21:03) The “invisible platform” ethos: why Jump melts into the background so teams can own the fan relationship. (23:10) Why NWSL teams and NBA franchises have surprisingly similar needs — and what that taught them about productizing. (24:36) Jordy's litmus test for platform vs. point solution: how many people in the org depend on you to do their job? (27:01) Seed to Series A timeline — and how the Timberwolves sale collapsing delayed everything by a year. (28:37HaHow Jordy processed a crisis that was public, sudden, and existential. (31:13) The Long Beach pier walk: the moment he decided to pivot the GTM to a crawl-walk-run strategy. (32:49) Effectuation theory, the “bird in hand,” and how it led to NCAA → NWSL → Timberwolves as a survival sequence. (34:39) What he had to unlearn from Stella Connect: stop zooming in — zoom way out to a 10–20-year vision. (37:05) The habit he kept: talent above all else — and why his first call was to a Chief People Officer. (38:45) Minimum viable people function for early founders: fractional HR > junior recruiter. (42:58) High performance without grind culture: intensity ≠ toxicity — and why durability matters more than speed. (45:40) Hiring from big tech: what's actually transferable, and the dangers of logo-blindness. (50:55) The one answer Jordy would need from a founder-CEO before he'd join their startup. LINKS Jordy Leiser Jump Alex Rodriguez Marc Lore Jump Series A announcement Delivering Happiness: A Path to Profits, Passion, and Purpose, Tony Shieh Effectuation — UVA Darden School of Business SUBSCRIBE

This week, we went live with Alana Levin from Variant Fund to discuss Variant's 2025 Crypto Trends Report, regulatory progress, stablecoin proliferation, DEX growth, wallet UX evolution, the future of global digital currencies, and more. Thanks for tuning in! As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. -- Resources The 2025 Crypto Trends Report: https://x.com/AlanaDLevin/status/1990804860027965727?s=20 -- Follow Blockworks Research: https://x.com/blockworksres Follow Variant Fund: https://x.com/variantfund Follow Alana: https://x.com/AlanaDLevin Follow Danny: https://x.com/defi_kay_ Follow Boccaccio: https://x.com/salveboccaccio -- Katana directs chain revenue back to DeFi users for consistently higher yields. It starts with VaultBridge, which turns bridged assets into yield streams that back a perpetually funded real yield, boosting rewards for DeFi users. Katana is pioneering Productive TVL, assets actually being used in DeFi and reinforces this with Chain-owned Liquidity, permanent liquidity the chain controls. Stop sleeping on your bags: https://app.katana.network/?utm_source=BW-Pod -- Uniswap's Trading API offers plug-and-play access to deep onchain and off-chain liquidity, delivering enterprise-grade crypto trading without the complexity - from one of the most trusted teams in DeFi.  Click to get started with seamless, scalable access to Uniswap's powerful onchain trading infrastructure. https://hub.uniswap.org/?utm_source=blockworks&utm_medium=podcast&utm_campaign=ww_web_bw_awa_trading-api_20251117_podcast_clicks -- Subscribe on YouTube: https://bit.ly/3foDS38 Subscribe on Apple: https://apple.co/3SNhUEt Subscribe on Spotify: https://spoti.fi/3NlP1hA Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (2:11) Market Outlook (8:31) The 2025 Crypto Trends Report (12:42) Overview of Variant Fund (15:35) Katana Ad (16:05) Potential Regulatory Risk (18:14) Crypto's Top Assets (22:24) New Crypto Assets (24:40) DEX Market Share Growth (31:14) Katana Ad (31:46) Improving Wallet UX (35:47) Stablecoin Fragmentation (46:28) Uniswap Ad (47:14) Productizing Stablecoins (52:57) Stablecoins Impact on USD Dominance (58:27) Closing Comments -- Check out Blockworks Research today! Research, data, governance, tokenomics, and models – now, all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter -- Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Boccaccio, Danny, and our guests may hold positions in the companies, funds, or projects discussed.

Sure built the technology infrastructure enabling the world's biggest consumer brands to embed complex insurance products directly into their core transactions—from auto purchases to home loans. In this episode of BUILDERS, Wayne Slavin shares how Sure pivoted from a consumer mobile app to B2B infrastructure after insurance executives kept pulling engineers into boardrooms to see the backend, why prospects who choose to build end up on Sure's "wall of shame" after their attempts fail, and the vertical integration strategy that could make legacy carriers obsolete within 20 years. Topics Discussed Sure's founding: turbulence on a Vegas flight led to a prototype that converted 15.91% from ad click to insurance purchase The accidental pivot to B2B infrastructure when insurance C-suites started calling people into boardrooms to see Sure's backend system How Sure became "chameleons" matching each partner's corner radius, modal behavior, and loader effects to avoid breaking product experiences The three failed paths that create Sure's best customers: DIY builds, direct carrier partnerships, and naive marketplace strategies Why buy-versus-build objections signal misaligned incentives—enterprise buyers trading career-safe "buy" budgets for execution-risk "build" projects The vertical integration roadmap: from collaborative carrier partnerships toward turnkey solutions backed by sovereign wealth funds AppleCare as the embedded insurance template: multi-decabillion dollar business now integrated into device selection, storage, color, and financing flows GTM Lessons For B2B Founders Run weekend demand tests before year-long regulatory builds: Wayne built a prototype over a long weekend and drove traffic through Google and Facebook ads to test first principles—do people want to buy insurance online, how soon before travel, how much coverage? The 15.91% conversion rate justified committing a full year to regulatory partnerships before bringing on a team. For founders in regulated spaces, creative demand validation derisks the compliance investment required before launch. Watch what gets pulled into the boardroom: Sure pitched their mobile app to insurance C-suites who responded with polite interest. Then executives started calling colleagues into meetings specifically to see Sure's backend operations system—the infrastructure they'd spent hundreds of millions trying to build. After three or four meetings with the same pattern, Wayne realized the backend was the product. Pay attention when prospects ignore your intended offering but get animated about something else entirely. Target solution-aware buyers who've already failed: Sure's most successful customers fall into three categories: those who tried building themselves and lost institutional knowledge when engineers left, those who partnered directly with carriers who took customers away and sold them competing products, or those who naively tried offering 50 insurance options when California markets now have two viable carriers. Wayne explicitly doesn't consider prospects choosing to build as their ICP—they lack awareness of execution risk and will waste Sure's time before returning years later. Treat build decisions as pipeline, not losses: A prospect from 2020 called yesterday after their DIY attempt resulted in three people leaving the company with nobody understanding how their cobbled system works. Sure maintains a "wall of shame" tracking decision-makers who chose to build and no longer work at those companies. For infrastructure plays with 18-36 month sales cycles, maintain relationships with build-path prospects—they're future pipeline once reality hits. Product integration depth wins embedded deals: Sure's differentiation isn't database speed—it's becoming invisible within partners' products. Wayne describes matching exact corner radius, modal patterns, and loader effects so product teams don't fight the insurance insertion. This requires deep product expertise across partners' stacks. For embedded solutions, technical flexibility that respects existing UX decisions matters more than raw performance metrics. Sure enables complex insurance purchases without customers touching their keyboard—everything pre-filled from partner data. Map internal buyer incentives in enterprise deals: Wayne observed that enterprise buyers face perverse incentives: requesting more budget and resources for build projects looks good internally, but they're unknowingly trading stable "buy" expenditures for career-ending execution risk. Large companies will pay "a bajillion dollars to Salesforce" because it works and removes risk, not because anyone loves it. Help champions articulate how buying derisks their execution versus the alternative—it's not about your product superiority, it's about their job security. //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.   Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

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

Ryan and Becca recap Ryan's two-week “pottery vacation,” where he stepped away from his day job to experience what full-time pottery could feel like. They talk through the technical challenges he tackled, the shows he prepared for, and the sales strategies he experimented with. Ryan also reflects on managing his health, energy, and work-life balance during the break. They wrap up with how the experience shaped his outlook on future goals and how pottery fits alongside his career as a UX engineer.SponsorsL&L Kilns - The durable kiln that potters trust to fire evenly & consistently. Find your L&L kiln at hotkilns.comSoolla® - The brand-new Studio Pouch from Soolla is the perfect sidekick to your studio bag, designed to keep your favorite tools organized and close at hand. Available in eleven colors and durable, machine-washable canvas. Find your new studio bag at soolla.co and save 15% at checkout with coupon code "WHEELTALK" (exclusions may apply).Support the show on Patreon for as little as $3 per month: https://patreon.com/WheeltalkpodcastFollow us on Instagram:@wheeltalkpodcast@rdceramics@5linespotteryVisit our website:www.wheeltalkpotcast.comWheel Talk YouTube Channel

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.Topics Include:Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.Internal adoption driven by empowering teams to build their own solutions versus top-down.Demandbase saw 70% adoption within six months through grassroots approach and local champions.Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.Biggest lesson: Data quality and context determine success more than agentic frameworks.Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.Industry created fatigue by overpromising; should have started smaller with realistic expectations.Participants:Chris Timmerman – Vice President, Global Services Delivery, BoomiHarshal Dedhia – Vice President of AI, DemandbaseBrandon Carl - Executive Vice President of AI and Product Strategy, SmarshAllison Johnson - AMER Technology Partnerships Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Laurent Kretz reçoit Julien Azzi, Head of Digital du Ritz Paris, cette maison qui fait rêver le monde entier depuis 1898. Pendant plus d'un siècle, le Ritz a posé les standards de l'hospitalité. Mais comment une institution de cette ampleur aborde-t-elle aujourd'hui un virage digital accéléré ? Julien raconte comment le Ritz, bien que reconnu mondialement, reste une PME qui joue dans la cour des grands : entre les attentes du marché, les clients exigeants et les offres multiples à coordonner, il dévoile les défis qu'ils ont rencontrés : rattraper 10 à 15 ans de digitalisation en quelques années seulement. Au programme00:00:00 - Introduction00:06:20 - Le Ritz comme institution et référence mondiale du luxe00:14:20 - Une grande marque avec une organisation de PME00:21:15 - Le virage digital00:36:07 - Multiplication des outils métiers dans l'hôtellerie00:36:30 - Refonte complète : UX unifiée et structure headless00:44:03 - Innovation : la homepage immersive “24h au Ritz”00:49:40 - CRM : structuration et unification des données01:09:13 - What's next : enjeux du Ritz pour 2026Et quelques dernières infos à vous partager :Suivez Le Panier sur Instagram @lepanier.podcast !Inscrivez- vous à la newsletter sur lepanier.io pour cartonner en e-comm !Écoutez les épisodes sur Apple Podcasts, Spotify ou encore Podcast AddictHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Subscribe to DTC Newsletter - https://dtcnews.link/signupJocelyn from Pilothouse breaks down how their team stays aggressive, adapts fast, and helps clients scale efficiently—even on the actual day of Black Friday.For media buyers and growth teams optimizing in real-time...What to do when your CPMs and CACs spike day-ofWhy legacy evergreen might outperform your BFCM creativeThe one Canva trick Jocelyn uses to refresh high-cost ads fastWhat Rebuy is and how it helped one brand double YoY revenueHow Pilothouse pushes Meta's algorithm before it catches trend shiftsWho this is for: DTC brands, marketers, and performance teams deep in BFCM trench warfareWhat to steal:Canva border hack to make organic product shots pop for BFCMSimplify site UX: static banners, one clear offer, above-the-fold CTADon't trust one dashboard—use the data triangle: Shopify, Meta, Triple WhaleTimestamps00:00 Black Friday PPC shifts and customer acquisition02:05 Scrappy creatives that cut CPMs and boost conversions04:20 Top of funnel focus and new customer strategies06:30 Website optimizations to increase conversion rate today08:50 How one brand hit 100 percent year over year growth11:10 Dealing with delayed attribution and platform discrepancies13:15 How Rebuy boosts AOV and top line revenue15:20 Guiding the algorithm and deep audience persona testing17:35 Wellness category trends and emerging demo shifts18:55 Healthier on-platform metrics through segmentationHashtags#dtcpodcast #blackfridaymarketing #ecommercetips #pilothouse #metaads #googleads #paidmedia #shopifybrands #rebuy #conversionrateoptimization #ecomstrategy #digitalmarketingtips Subscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://www.pilothouse.co/?utm_source=AKNF563Follow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

In this repeat episode, Dominik Dorfmeister unpacks the pitfalls of React's useCallback and useMemo, revealing how these hooks often introduce more complexity than performance gains. He explores the promise of the React Compiler, the practical power of the “latest ref” pattern, and strategies to boost code readability and maintainability at scale. Learn why overusing useEffect and manual memoization can do more harm than good, and how teams can level up their PR reviews and performance practices using tools like the ESLint React Compiler plugin. Links Bluesky: https://bsky.app/profile/tkdodo.eu Github: https://github.com/tkdodo X: https://x.com/TkDodo Resources The Useless useCallback: https://tkdodo.eu/blog/the-useless-use-callback Chapters 00:00 Why talk about useCallback and useMemo 00:40 Are useCallback and useMemo actually useless? 02:00 When (if ever) memoization is worth it 07:30 Pitfalls of overusing memoization in PRs and team guidelines 12:10 Latest ref pattern as an alternative 18:40 React Compiler and ESLint support 23:30 Why self-reviews help catch unnecessary memoization 28:10 Do React docs encourage over-optimization? 33:00 Advice for React developers We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! Let us know by sending an email to our producer, Elizabeth, at elizabet.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Dominik Dorfmeister.

In this second part of my three-part series (catch Part I via episode 182), I dig deeper into the key idea that sales in commercial data products can be accelerated by designing for actual user workflows—vs. going wide with a “many-purpose” AI and analytics solution that “does more,” but is misaligned with how users' most important work actually gets done.   To explain this, I will explain the concept of user experience (UX) outcomes, and how building your solution to enable these outcomes may be a dependency for you to get sales traction, and for your customer to see the value of your solution. I also share practical steps to improve UX outcomes in commercial data products, from establishing a baseline definition of UX quality to mapping out users' current workflows (and future ones, when agentic AI changes their job). Finally, I talk about how approaching product development as small “bets” helps you build small, and learn fast so you can accelerate value creation.    Highlights/ Skip to: Continuing the journey: designing for users, workflows, and tasks (00:32) How UX impacts sales—not just usage and  adoption(02:16) Understanding how you can leverage users' frustrations and perceived risks as fuel for building an indispensable data product (04:11)  Definition of a UX outcome (7:30) Establishing a baseline definition of product (UX) quality, so you know how to observe and measure improvement (11:04 ) Spotting friction and solving the right customer problems first (15:34) Collecting actionable user feedback (20:02) Moving users along the scale from frustration to satisfaction to delight (23:04) Unique challenges of designing B2B AI and analytics products used for decision intelligence (25:04) Quotes from Today's Episode One of the hardest parts of building anything meaningful, especially in B2B or data-heavy spaces, is pausing long enough to ask what the actual ‘it' is that we're trying to solve. People rush into building the fix, pitching the feature, or drafting the roadmap before they've taken even a moment to define what the user keeps tripping over in their day-to-day environment.   And until you slow down and articulate that shared, observable frustration, you're basically operating on vibes and assumptions instead of behavior and reality.   What you want is not a generic problem statement but an agreed-upon description of the two or three most painful frictions that are obvious to everyone involved, frictions the user experiences visibly and repeatedly in the flow of work.   Once you have that grounding, everything else prioritization, design decisions, sequencing, even organizational alignment suddenly becomes much easier because you're no longer debating abstractions, you're working against the same measurable anchor.   And the irony is, the faster you try to skip this step, the longer the project drags on, because every downstream conversation becomes a debate about interpretive language rather than a conversation about a shared, observable experience. __ Want people to pay for your product? Solve an *observable* problem—not a vague information or data problem. What do I mean? “When you're trying to solve a problem for users, especially in analytical or AI-driven products, one of the biggest traps is relying on interpretive statements instead of observable ones.   Interpretive phrasing like ‘they're overwhelmed' or ‘they don't trust the data' feels descriptive, but it hides the important question of what, exactly, we can see them doing that signals the problem.   If you can't film it happening, if you can't watch the behavior occur in real time, then you don't actually have a problem definition you can design around.   Observable frustration might be the user jumping between four screens, copying and pasting the same value into different systems, or re-running a query five times because something feels off even though they can't articulate why.   Those concrete behaviors are what allow teams to converge and say, ‘Yes, that's the thing, that is the friction we agree must change,' and that shift from interpretation to observation becomes the foundation for better design, better decision-making, and far less wasted effort.   And once you anchor the conversation in visible behavior, you eliminate so many circular debates and give everyone, from engineering to leadership, a shared starting point that's grounded in reality instead of theory." __ One of the reasons that measuring the usability/utility/satisfaction of your product's UX might seem hard is that you don't have a baseline definition of how satisfactory (or not) the product is right now. As such, it's very hard to tell if you're just making product *changes*—or you're making *improvements* that might make the product worth paying for at all, worth paying more for, or easier to buy. "It's surprisingly common for teams to claim they're improving something when they've never taken the time to document what the current state even looks like. If you want to create a meaningful improvement, something a user actually feels, you need to understand the baseline level of friction they tolerate today, not what you imagine that friction might be. Establishing a baseline is not glamorous work, but it's the work that prevents you from building changes that make sense on paper but do nothing to the real flow of work. When you diagram the existing workflow, when you map the sequence of steps the user actually takes, the mismatches between your mental model and their lived experience become crystal clear, and the design direction becomes far less ambiguous. That act of grounding yourself in the current state allows every subsequent decision, prioritizing fixes, determining scope, measuring progress, to be aligned with reality rather than assumptions. And without that baseline, you risk designing solutions that float in conceptual space, disconnected from the very pains you claim to be addressing." __ Prototypes are a great way to learn—if you're actually treating them as a means to learn, and not a product you intend to deliver regardless of the feedback customers give you.  "People often think prototyping is about validating whether their solution works, but the deeper purpose is to refine the problem itself. Once you put even a rough prototype in front of someone and watch what they do with it, you discover the edges of the problem more accurately than any conversation or meeting can reveal. Users will click in surprising places, ignore the part you thought mattered most, or reveal entirely different frictions just by trying to interact with the thing you placed in front of them. That process doesn't just improve the design, it improves the team's understanding of which parts of the problem are real and which parts were just guesses. Prototyping becomes a kind of externalization of assumptions, forcing you to confront whether you're solving the friction that actually holds back the flow of work or a friction you merely predicted. And every iteration becomes less about perfecting the interface and more about sharpening the clarity of the underlying problem, which is why the teams that prototype early tend to build faster, with better alignment, and far fewer detours." __ Most founders and data people tend to measure UX quality by “counting usage” of their solution. Tracking usage stats, analytics on sessions, etc. The problem with this is that it tells you nothing useful about whether people are satisfied (“meets spec”) or delighted (“a product they can't live without”). These are product metrics—but they don't reflect how people feel. There are better measurements to use for evaluating users' experience that go beyond “willingness to pay.”  Payment is great, but in B2B products, buyers aren't always users—and we've all bought something based on the promise of what it would do for us, but the promise fell short. "In B2B analytics and AI products, the biggest challenge isn't complexity, it's ambiguity around what outcome the product is actually responsible for changing.   Teams often define success in terms of internal goals like ‘adoption,' ‘usage,' or ‘efficiency,' but those metrics don't tell you what the user's experience is supposed to look like once the product is working well.   A product tied to vague business outcomes tends to drift because no one agrees on what the improvement should feel like in the user's real workflow.   What you want are visible, measurable, user-centric outcomes, outcomes that describe how the user's behavior or experience will change once the solution is in place, down to the concrete actions they'll no longer need to take.   When you articulate outcomes at that level, it forces the entire organization to align around a shared target, reduces the scope bloat that normally plagues enterprise products, and gives you a way to evaluate whether you're actually removing friction rather than just adding more layers of tooling.   And ironically, the clearer the user outcome is, the easier it becomes to achieve the business outcome, because the product is no longer floating in abstraction, it's anchored in the lived reality of the people who use it."   Links Listen to part one: Episode 182  Schedule a Design-Eyes Assessment with me and get clarity, now.

In this episode of Volunteer Nation Podcast, Tobi dives deep into what makes a truly exceptional volunteer user experience — from the very first moment someone encounters your organization, through onboarding, active service, and beyond. Tobi breaks down the five core UX principles nonprofits must master — clarity, consistency, ease, empathy, and delight and explains how they shape volunteer satisfaction, retention, and commitment. You'll also learn how to walk the path through your own volunteer journey to spot quick-win improvements and elevate your entire program. Full show notes: 190. 5 Principles for an Unforgettable Volunteer User ExperienceUser Experience - Episode Highlights [01:00] – What a volunteer user experience actually is [03:00] – The five phases of the volunteer journey [08:00] – User experience principle #1: Clarity [09:00] – User experience principle #2: Consistency [12:00] – User experience principle #3: Ease [14:00] – User experience principle #4: Empathy [15:00] – User experience principle #5: Delight [17:00] – High-impact action: Walk the Path  Helpful Links Volunteer Management Progress Report  VolunteerPro Impact Lab Volunteer Nation Episode #184 - The Experience Economy – Are Nonprofits Keeping Up? Volunteer Nation Episode #183 - The New Reality - Volunteers Don't Need You Volunteer Nation Episode #118: 8 Ways to Make Volunteering Experiences Much Easier  Thanks for listening to this episode of the Volunteer Nation podcast. If you enjoyed it, please be sure to subscribe, rate, and review so we can reach more people like you who want to improve the impact of their good cause. For more tips and notes from the show, check us out at TobiJohnson.com. For any comments or questions, email us at WeCare@VolPro.net.

In this episode, Travis and producer Eric dive into breaking sports media news: ESPN and Penn Entertainment unwinding their $2 billion, 10-year ESPN Bet partnership just two years after launch and pivoting into a new multi-year deal with DraftKings. They unpack what this says about ESPN's fading dominance, DraftKings' position as the default sportsbook brand, and how Barstool founder Dave Portnoy continues to land on his feet after Penn sold Barstool back to him and rebranded to ESPN Bet. Along the way, they draw parallels to Disney's evolving “family-friendly” branding strategy, the broader shift from legacy TV to social-first sports media, and why product quality and user behavior matter more than just a big name.​​ On this episode we talk about: The stunning early termination of the ESPN–Penn Entertainment $2B, 10-year ESPN Bet deal, effective December 1, 2025, after ESPN Bet failed to crack meaningful market share.​ Why ESPN Bet reportedly struggled to get above ~5% market share and never hit “top three” sportsbook status despite ESPN's massive brand and distribution.​ Penn's prior Barstool Sports era, regulatory pushback tied to Portnoy's persona, and how Penn sold Barstool back to Dave Portnoy as it pivoted to the ESPN Bet rebrand.​​ Portnoy's reaction on his own show, why he thinks time will tell if this is a good move for DraftKings, and his hint that Disney CEO Bob Iger made unflattering comments about Barstool behind the scenes.​ How Disney's move from “no R-rated content” on Disney+ to hosting edgier, R-rated films via the Hulu integration shows a slow but real shift away from a strictly squeaky-clean image.​ Why even a giant like ESPN can't just slap its logo on a product and win—especially when users already love DraftKings and other established betting apps.​ The rise of social-native sports brands like House of Highlights and Barstool Sports, and how short-form content has replaced traditional SportsCenter viewing for many fans.​​ Jake Paul's “Betr” (Better) and other creator-led betting and media plays, and how having the ear of younger fans changes the balance of power in sports media.​ Why product quality, UX, and habit lock-in often beat legacy branding, even when legacy outlets still dominate live rights and TV distribution.​ A quick detour into the best sports movies of all time—Hoosiers, Remember the Titans, Warrior, Rocky, Moneyball, and more—and what they reveal about the nostalgia we still attach to sports storytelling. Top 3 Takeaways Big legacy brands like ESPN and Disney can no longer rely on their name alone; in crowded categories like sports betting, sticky products and fan-favorite platforms like DraftKings are extremely hard to displace.​ Controversial personalities like Dave Portnoy can create regulatory and brand headaches, but they also build cult followings and resilient IP—Barstool's rebound and Portnoy's “$1 buyback” remain a masterclass in leverage.​​ The future of sports attention is social-first and creator-driven: fans increasingly get their highlights, hot takes, and sometimes even betting cues from digital-native brands rather than traditional TV networks.​​

Send us a textBest Buy was supposed to be dead. Instead, it just raised its full-year sales and earnings outlook.In this episode, Jenny Rae and Namaan dig into why Best Buy is outperforming in a “K-shaped” economy, even as everyone keeps blaming the consumer and inflation.They break down:How Best Buy is still winning on laptops, gaming, and smartphonesWhy AI-enabled laptops and new consoles are quietly driving an upgrade cycleThe role of predictable sale moments (Prime Day, back-to-school, Black Friday)What Best Buy is doing in-store vs. online that pure e-commerce players can't matchHow services and better execution matter more than macro excusesThey also talk about what this says about the American consumer, why sentiment and spending keep telling different stories, and what levers they'd pull if they were running Best Buy for the next five years.Partner Links:Learn more about NordStellar's Threat Exposure Management Program; unlock 20% off with code BLACKFRIDAY20 until Dec. 10, 2025Chapters:02:10 Black Friday: From Chaos Day to 2-Month Season 04:45 Best Buy's Unexpected Earnings Beat 07:20 What's Actually Selling: Phones, Laptops, Gaming, AI Devices 10:05 Why Best Buy Wins In-Store (When It Shouldn't) 13:00 Digital Channel Strength: Website, Pick-Up, Inventory, UX 15:40 The Consumer Is Fine (Again): Spending vs Sentiment 18:25 Best Buy's Revenue Declines & Store Footprint Questions 21:05 Margin Breakdown & Where Best Buy Really Makes Money 24:10 The Future: Services, Smaller Stores, and Growth LeversListen to the Market Outsiders podcast, the new daily show with the Management Consulted teamConnect With Management Consulted Schedule free 15min consultation with the MC Team. Watch the video version of the podcast on YouTube! Follow us on LinkedIn, Instagram, and TikTok for the latest updates and industry insights! Join an upcoming live event - case interviews demos, expert panels, and more. Email us (team@managementconsulted.com) with questions or feedback.

For episode 639 of the BlockHash Podcast, host Brandon Zemp is joined by Joan Alavedra, CEO & Co-founder of Openfort.Openfort provides wallet infrastructure for web3 apps with logged-in users. They help teams give every user a non-custodial wallet, embedded directly in the product, without seed phrases or scary popups.⏳ Timestamps: (0:00) Introduction(0:52) Who is Joan Alavedra?(3:45) What is Openfort?(6:19) Pain-points in Web3 wallet infrastructure(11:56) Use-cases of Openfort(13:55) Future of Web3 wallet UX(17:00) Agentic AI & Ecommerce(19:42) Data protection in Web3 wallets(23:50) Openfort roadmap for 2026(26:16) Openfort website & socials 

AI Assisted Coding: From Designer to Solo Developer - Building Production Apps with AI In this special episode, Elina Patjas shares her remarkable journey from designer to solo developer, building LexieLearn—an AI-powered study tool with 1,500+ users and paying customers—entirely through AI-assisted coding. She reveals the practical workflow, anti-patterns to avoid, and why the future of software might not need permanent apps at all. The Two-Week Transformation: From Idea to App Store "I did that, and I launched it to App Store, and I was like, okay, so… If I can do THIS! So, what else can I do? And this all happened within 2 weeks."   Elina's transformation happened fast. As a designer frustrated with traditional software development where maybe 10% of your original vision gets executed, she discovered Cursor and everything changed. Within two weeks, she went from her first AI-assisted experiment to launching a complete app in the App Store. The moment that shifted everything was realizing that AI had fundamentally changed the paradigm from "writing code" to "building the product." This wasn't about learning to code—it was about finally being able to execute her vision 100% the way she wanted it, with immediate feedback through testing. Building LexieLearn: Solving Real Problems for Real Users "I got this request from a girl who was studying, and she said she would really appreciate to be able to iterate the study set... and I thought: "That's a brilliant idea! And I can execute that!" And the next morning, it was 9.15, I sent her a screen capture."   Lexie emerged from Elina's frustration with ineffective study routines and gamified edtech that didn't actually help kids learn. She built an AI-powered study tool for kids aged 10-15 that turns handwritten notes into adaptive quizzes revealing knowledge gaps—private, ad-free, and subscription-based. What makes Lexie remarkable isn't just the technology, but the speed of iteration. When a user requested a feature, Elina designed and implemented it overnight, sending a screen capture by 9:15 AM the next morning. This kind of responsiveness—from customer feedback to working feature in hours—represents a fundamental shift in how software can be built. Today, Lexie has over 1,500 users with paying customers, proving that AI-assisted development isn't just for prototypes anymore. The Workflow: It's Not Just "Vibing" "I spend 30 minutes designing the whole workflow inside my head... all the UX interactions, the data flow, and the overall architectural decisions... so I spent a lot of time writing a really, really good spec. And then I gave that to Claude Code."   Elina has mixed feelings about the term "vibecoding" because it suggests carelessness. Her actual workflow is highly disciplined. She spends significant time designing the complete workflow mentally—all UX interactions, data flow, and architectural decisions—then writes detailed specifications. She often collaborates with Claude to write these specs, treating the AI as a thinking partner. Once the spec is clear, she gives it to Claude Code and enters a dialogue mode: splitting work into smaller tasks, maintaining constant checkpoints, and validating every suggestion. She reads all the code Claude generates (32,000 lines client-side, 8,000 server-side) but doesn't write code herself anymore. This isn't lazy—it's a new kind of discipline focused on design, architecture, and clear communication rather than syntax. Reading Code vs. Writing Code: A New Skill Set "AI is able to write really good code, if you just know how to read it... But I do not write any code. I haven't written a single line of code in a long time."   Elina's approach reveals an important insight: the skill shifts from writing code to reading and validating it. She treats Claude Code as a highly skilled companion that she needs to communicate with extremely well. This requires knowing "what good looks like"—her 15 years of experience as a designer gives her the judgment to evaluate what the AI produces. She maintains dialogue throughout development, using checkpoints to verify direction and clarify requirements. The fast feedback loop means when she fails to explain something clearly, she gets immediate feedback and can course-correct instantly. This is fundamentally different from traditional development where miscommunication might not surface until weeks later. The Anti-Pattern: Letting AI Run Rampant "You need to be really specific about what you want to do, and how you want to do it, and treat the AI as this highly skilled companion that you need to be able with."   The biggest mistake Elina sees is treating AI like magic—giving vague instructions and expecting it to "just figure it out." This leads to chaos. Instead, developers need to be incredibly specific about requirements and approach, treating AI as a skilled partner who needs clear communication. The advantage is that the iteration loop is so fast that when you fail to explain something properly, you get feedback immediately and can clarify. This makes the learning curve steep but short. The key is understanding that AI amplifies your skills—if you don't know what good architecture looks like, AI won't magically create it for you. Breaking the Gatekeeping: One Person, Ten Jobs "I think that I can say that I am a walking example of what you can do, if you have the proper background, and you know what good looks like. You can do several things at a time. What used to require 10 people, at least, to build before."   Elina sees herself as living proof that the gatekeeping around software development is breaking down. Someone with the right background and judgment can now do what previously required a team of ten people. She's passionate about others experiencing this same freedom—the ability to execute their vision without compromise, to respond to user feedback overnight, to build production-quality software solo. This isn't about replacing developers; it's about expanding who can build software and what's possible for small teams. For Elina, working with a traditional team would actually slow her down now—she'd spend more time explaining her vision than the team would save through parallel work. The Future: Intent-Based Software That Emerges and Disappears "The software gets built in an instance... it's going to this intent-based mode when we actually don't even need apps or software as we know them."   Elina's vision for the future is radical: software that emerges when you need it and disappears when you don't. Instead of permanent apps, you'd have intent-based systems that generate solutions in the moment. This shifts software from a product you download and learn to a service that materializes around your needs. We're not there yet, but Elina sees the trajectory clearly. The speed at which she can now build and modify Lexie—overnight feature implementations, instant bug fixes, continuous evolution—hints at a future where software becomes fluid rather than fixed. Getting Started: Just Do It "I think that the best resource is just your own frustration with some existing tools... Just open whatever tool you're using, is it Claude or ChatGPT and start interacting and discussing, getting into this mindset that you're exploring what you can do, and then just start doing."   When asked about resources, Elina's advice is refreshingly direct: don't look for tutorials, just start. Let your frustration with existing tools drive you. Open Claude or ChatGPT and start exploring, treating it as a dialogue partner. Start building something you actually need. The learning happens through doing, not through courses. Her own journey proves this—she went from experimenting with Cursor to shipping Lexie to the App Store in two weeks, not because she found the perfect tutorial, but because she just started building. The tools are good enough now that the biggest barrier isn't technical knowledge—it's having the courage to start and the judgment to evaluate what you're building.   About Elina Patjas   Elina is building Lexie, an AI-powered study tool for kids aged 10–15. Frustrated by ineffective "read for exams" routines and gamified edtech fluff, she designed Lexie to turn handwritten notes into adaptive quizzes that reveal knowledge gaps—private, ad-free, and subscription-based. Lexie is learning, simplified.   You can link with Elina Patjas on LinkedIn.