Podcasts about ITerating

How did the vision for The Center for Black Excellence and Culture find its shape? Dr. Gee talks to Jim Bower about how their collaboration helped shape the vision for what was valuable for the Black community in Madison. Jim's role was to continually clarify Dr. Gee's vision and find a way to make it a reality. He saw Dr. Gee as a social innovator, who had something important he wanted to change in society that needed to have a track for the project to move forward on.  Dr. Gee explains how the cross-cultural partnerships involved coalesced around the vision despite issues that the community and country were facing. The project is a rare example of a team of people unified around the vision that they invested so much of their skills and heart in. alexgee.com Support the Show: patreon.com/blacklikeme Join the Black Like Me Listener Community Facebook Group

Ecclesiastes 9:1–17 frames life “under the sun” as a repeated meditation on meaning, mortality, and posture toward the ordinary. Ecclesiastes uses steady iterations—like a song reworked over time—to press a dark but honest diagnosis: life without appeal beyond the present age looks empty, arbitrary, and often cruel. Nihilism shows up in several forms—existential loneliness, moral relativism, epistemic skepticism, and cultural breakdown—and the text treats each as a current that shapes modern thought and practice. Solomon observes that death levels distinctions: the righteous and wicked share the same end, and social honors mean nothing at the grave. Solomon pushes the logic of meaninglessness to a blunt conclusion and then counsels a counterintuitive response. The text counsels feasting, enjoyment of one's spouse, diligent work, and celebration—not as naïve hedonism but as prudent embrace of the gifts available in a limited life. Solomon argues for taking pleasure in ordinary provisions and relationships because time and chance make outcomes unpredictable; fortunes turn by luck as often as by wisdom. The narrative's brief portrait of a wise man who risks and gives himself to save a small city—and is forgotten and despised afterward—becomes the book's single declaration of greatness. Solomon elevates self‑giving wisdom over reputation, wealth, and achievement. The story of a nameless rescuer reframes true greatness as sacrificial service for the insignificant rather than accumulation of prestige. The Old Testament portrait points forward to the supreme example of kenotic wisdom: the incarnate King who humbled himself for the salvation of those who could not save themselves. For those anchored in that redemption, meaning and hope outrun luck and the leveling power of death, and present joys become signs of a fuller promise to come.

“Do we want 1.2 million crappy houses?” That's the question Jesse Clark (pro clima) drops early in this episode, and it pretty much sets the tone. We talk about Australian housing supply, building quality, and why “more homes” is not the win if we're locking in mould risk, discomfort, and expensive fixes for decades. If you care about better homes, healthier homes, and what the future of construction should actually look like, this one's for you.Jesse's whole approach is simple and repeatable building systems. We look at practical building science for real sites: the building envelope, airtightness, membranes, wraps, and the kind of construction details that can be done consistently across projects without relying on luck or one superstar tradie.A big focus is moisture management and ventilation, because moisture safety is the foundation of durable homes. We get into vapour-permeable assemblies, how leaky buildings happen, and why mould in Australian homes is often the outcome of small decisions made early. We also touch on the debate around energy efficiency and building codes (NCC), and how chasing energy targets without understanding moisture can create unintended consequences.If you're a builder, architect, designer, certifier, or homeowner trying to understand high performance homes without the hype, this conversation will help. Topics include sustainable building, passive house principles, condensation control, indoor air quality, and what it takes to build homes that last in Australian climate zones.

In episode 120 of Venture Everywhere, Anna Barber, a General Partner at Everywhere Ventures, talks with Maria Azofra, co-founder and CEO of Sharpei — an AI-native operating system for embedded equipment financing that helps lenders automate and accelerate the loan origination process. Maria shares how building Yakk, a B2B equipment rental marketplace in Spain, exposed a frustrating industry-wide bottleneck: lenders taking 20 to 30 days to approve transactions, losing deals before they could ever close. Sharpei's vision is to become the origination infrastructure for every lender in the US — modernizing a $1.3 trillion industry that still runs on emails, PDFs, and phone calls.In this episode, you will hear:Iterating through multiple business models to find true market pull.Targeting pre-qualification as lending's most overlooked bottleneck.Automating credit file creation from days to hours with AI.Using lenders as the distribution channel to reach merchants at scale.Building leasing infrastructure that captures residual asset value.Learn more about Maria Azofra | SharpeiLinkedIn: https://www.linkedin.com/in/mariaazofra/enWebsite: https://www.gosharpei.com/Learn more about Anna Barber | Everywhere VCLinkedin: https://www.linkedin.com/in/annawbarberWebsite: https://everywhere.vc/

In this powerful episode of the Prolonged Field Care Podcast, Special Forces Detachment Commander Nate shares his journey from medical novice to building a highly effective team clinic SOP. With only one 18D on the team, Nate realized that top cover and systems thinking were critical for success in austere environments. He discusses creating, testing, and refining a practical clinic layout, the "Care Chain" concept, realistic PFC training under fatigue, honest medical risk assessment for commanders, and breaking down the mystique of medicine for the entire team.Key Takeaways:Why commanders must dive into medical capabilities and challenge assumptions instead of leaving it solely to the medic.How to design an efficient SOF clinic using systems thinking and proxemics to reduce friction during prolonged care.The critical importance of testing medical plans with full rehearsals and pushing to realistic limits (fatigue, resource constraints).Treating prolonged field care like any other battle drill: train to standard, not convenience.Strategies for communicating medical limitations honestly to higher command and building a culture of openness.Expanding medical knowledge across the entire ODA to increase team resilience.Whether you're a commander, medic, or operator preparing for austere operations, this episode delivers practical, battle-tested insights on turning medical readiness into a true force multiplier.Podcast Chapters:00:00 - Introduction & Guest WelcomeHost Dennis introduces Nate, SF Detachment Commander, and sets the stage.00:00 - Nate's Medical Journey & First PFC ExerciseHow a failed 24-hour PFC exercise exposed gaps in equipment familiarity, charting, and leadership involvement.03:30 - The Suffolk Experience & Understanding 18D CapabilitiesKey training that gave Nate better appreciation for medics and his own limitations.06:00 - Why Create a Team Clinic SOP?The first overseas deployment, poor rehearsal results, and the lack of existing doctrine for ODA-level clinics.09:00 - Designing the Ideal SOF ClinicSystems-based approach, "Care Chain" concept, layout, storage, vampire kits, proxemics, and reducing friction.13:30 - Testing & Iterating the SOPMoving the entire clinic, rehearsals, learning from failures, and refining based on real feedback.17:00 - Training to Standard vs. Training to ConvenienceComparing medical training to breaching, CQB, and other skills. Why PFC needs to be treated as a battle drill.21:00 - The Power of Realistic, Fatigue-Based TrainingLessons from Suffolk, Rangers' approach, and pushing teams to their actual limits.25:30 - Planning Challenges & Honest Risk AssessmentCommon failures in CONOPs, evac planning, the "death of the golden hour," and testing medical capabilities early.29:00 - Convincing Command & Building a Culture of HonestyCommunicating limitations, resource requirements, and fostering intellectual openness.33:00 - Expanding Medical Knowledge Across the TeamDemystifying medicine, operator-level training, and treating it like ballistics or demolitions.36:30 - Final Thoughts & Call for FeedbackNate's request for community input on the clinic SOP and closing remarks.For more content, go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.prolongedfieldcare.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Consider supporting us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/ProlongedFieldCareCollective⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.lobocoffeeco.com/product-page/prolonged-field-care⁠

Ansel Adams in AI color? Yuck! Do we ever get past the fear of complete failure and should we? Color grading footage and getting lost. Montana native Robert Osborn is our Photographer of the Week. Danziger response to the AI Ansel Adams print Degas “Woman seat beside a vase of flowers” Bill’s portrait of Alon at a piano Burden video of “Shoot” (User discretion advised) Robert Osborn mini-doc Robert Osborn website

What would it take to prioritize major programme outcomes over more familiar factors like price and procedural fairness? This is the question posed by Peter Weltman, the guest host on this Uncharted Conversations episode. Peter notes that Canada's infrastructure industry is struggling to maintain what it already has, much less build what it needs next. Iterating is likely to fail, so what are the alternatives?Co-hosts Shormila, David, Melissa, and Riccardo quickly surface the real tension: “outcomes” are often harder to define, measure, and defend than cost—and public procurement systems are deliberately built for political optics and to avoid the perception of discretionary decision-making. Together, the panel explores why technical merit often fails to meaningfully influence selection and why innovation tends to get squeezed out when projects are seen as fixed scope from the beginning.From there, the conversation widens beyond RFP mechanics into bigger levers: risk appetite for unsolicited proposals, whether Canada needs an “infrastructure venture fund” for ideas, and the value of portfolio thinking. Canada may not be ready to blow up the whole system. However, examples—including new financing entities and development-partner models—both within and beyond infrastructure highlight alternative pathways that are already emerging.Key TakeawaysThe problem with reducing “value for money” to competitive pricing in major projects;The difficulty in defining “outcome-based procurement” beyond cost;How better technical discrimination can prevent price from dominating “best value” selections;The potential for more rigorous schedule and delivery certainty evaluation through risk analysis;How entities might catalyze more innovative deal structures than classic linear procurements.Quote:“How do we create the incentives to build the capacity to do things in a more innovative way, realize more budget, more benefits?” - Peter WeltmanThe conversation doesn't stop here—connect and converse with our community via LinkedIn:Follow Navigating Major Programmes: https://www.linkedin.com/company/navigating-major-programmes/Read Riccardo's latest at www.riccardocosentino.comFollow Riccardo Cosentino: https://www.linkedin.com/in/cosentinoriccardo/Follow Shormila Chatterjee: https://www.linkedin.com/in/shormilac/Follow Melissa Di Marco: https://www.linkedin.com/in/melissa-di-marco/Follow Peter Weltman: https://www.linkedin.com/in/peter-weltman/

You've built the asset. You've done the comms. You even held office hours (that no one came to). And still…nothing changes. Sound familiar? These moves are still everyone's go-to plays for substantial transitions in the workplace, even when we have decades of experience that they fall flat. In this episode, Rodney and Sam dig into one of the most under-explored problems in organizational life: how you actually get people to do shit. Not just understand it. Not just nod at it in a meeting. Actually do it. They walk through why the classic change playbook (comms, training, socialization, stakeholder management) keeps failing, and what a real system of activation actually looks like. -------------------------------- Ready to change your organization? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Let's talk.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get our newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ -------------------------------- Mentioned references: "change management is broken": AWWTR Ep. 26 with Michael Bungay Stanier "comms and change management": BNW Ep. 3 with Deirdre Latour "complicated vs complex" Ira Glass quote about taste 00:00 Intro + Check-In: What's a tech habit that reveals your true generational age? 03:49 Why "getting shit done" doesn't get enough airtime 05:32 The three-step chain: information → understanding → behavior 06:46 Real example: Rodney's role change at The Ready and what governance actually did 09:16 The asset creator's blind spot 15:34 Living into your authority 18:09 Why clarity (including hard deadlines) is a gift 19:49 Which kinds of change need enrollment vs. just execution 24:07 Why the big reveal keeps happening (and why it keeps failing) 27:09 The big bang is often avoiding user feedback 30:49 Ira Glass on developing taste 32:57 Iterating as you go 34:50 Change management is just marketing inside your own company 38:22 Change 1: Lower activation energy with explicit, clear asks 40:34 Change 2: Run a system of socialization, not just an event 43:55 Change 3: Remove things and make space before asking for more 44:54 Change 4: Keep it ugly to unlock better participation 47:50 Wrap Sound engineering and design by Taylor Marvin of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Coupe Studios⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

He's running a newsletter with over a million subscribers and an engagement rate that turns traditional wisdom on its head. Sean Devlin, a veteran in the newsletter space, pulled back the curtain to reveal the strategies behind his success. Having scaled "Nice News" to over 800,000 subscribers before its acquisition by Encyclopedia Britannica, and currently running "All Healthy" with an astounding 1.3 million subscribers and a 52% open rate, Sean is doing something different. He shares his unconventional approach to content, monetization, and growth that prioritizes reader value and long-term relationships over short-term metrics. If you're building an audience and want them to genuinely look forward to your emails, this episode is packed with actionable insights you won't want to miss.Timestamps:00:00 Introduction01:01 The power of habit-forming newsletter sections02:47 Why creators get email formats wrong04:09 The long-term perspective on engagement metrics06:40 Balancing clickbait with true value07:19 Achieving high open rates with a massive list09:46 Monetization through seamless sponsorships18:01 The art of increasing sponsorship rates20:56 Taking responsibility for advertiser performance22:14 Newsletter design and structure essentials27:10 Leveraging lead magnets and quizzes for acquisition30:51 Optimizing for subscriber payback period38:38 The content creation flywheel45:30 The overlooked importance of newsletter design47:27 Crafting an engaging newsletter opening51:11 Fixing underperforming emailsIf you enjoyed this episode, please like and subscribe, share it with your friends, and leave a review. I read every single one.Learn more about the podcast: https://nathanbarry.com/showFollow Nathan:Instagram: https://www.instagram.com/nathanbarryLinkedIn: https://www.linkedin.com/in/nathanbarryX: https://twitter.com/nathanbarryYouTube: https://www.youtube.com/@thenathanbarryshowWebsite: https://nathanbarry.comKit: https://kit.comFollow Sean:LinkedIn: https://www.linkedin.com/in/seancdevlinAll Healthy: https://www.allhealthy.comFeatured in this episode:Kit: https://www.kit.comFeedly: https://feedly.comAirtable: https://www.airtable.comMidjourney: https://www.midjourney.comSpark Loop: https://www.sparkloop.appHighlights:01:01 – Designing sections for reader habit formation07:19 – Maintaining 50%+ open rates with 1.3M subscribers09:46 – Integrating sponsorships seamlessly within content15:01 – Iterating on flexible pricing for sponsors22:14 – Importance of visual design in newsletter trust30:51 – Reducing subscriber payback period strategies45:30 – Why newsletter design is a critical hot take

I sit down with Leon van Zyl, who ran a web design company for 10 years and now teaches over 700 people how to build real applications with coding agents. We walk through his exact workflow for building professional, client-ready websites using Google Stitch for the design system and Claude Code for the build — no coding skills required. Leon shows the difference between a one-shot AI-generated site and what you get when you front-load the design system before touching code. By the end, you'll have a repeatable workflow for going from design concept to finished website — including custom AI images that match your brand.Links Mentioned:Google Stitch: https://stitch.withgoogle.comClaude Code: https://docs.anthropic.com/en/docs/claude-codeCursor: https://www.cursor.comNext.js: https://nextjs.orgStitch MCP Server Docs: https://stitch.withgoogle.com/docs/mcpStitch Skills: https://stitch.withgoogle.com/docs/skillsTimestamps00:00 – Intro00:06 – What you'll learn: design systems for client-ready websites02:04 – Jumping into the screen share02:25 – The problem: one-shot AI websites look terrible03:52 – The Stitch workflow result: side-by-side comparison07:32 – Starting from a vanilla Next.js project08:50 – What is Google Stitch and how to get started10:00 – Prompting Stitch with brand details, fonts, and colors13:00 – Why design systems matter for coding agents16:00 – Iterating on the homepage before building more pages17:44 – Sharing Stitch designs with clients for approval21:23 – Setting up the Stitch MCP server in Claude Code23:18 – What an MCP server actually is (simple explanation)25:56 – Pulling the design system into your project28:47 – Memory files: Claude.md vs Agents.md explained33:24 – Converting the Stitch design into a working website35:06 – Installing the Stitch React Components skill41:11 – When to use this workflow: client work vs personal projects44:27 – Viewing the finished website vs the Stitch mockup48:27 – Downloading and converting images to WebP for performance53:46 – Generating custom AI images with Nano Banana Pro58:14 – Final result with branded AI-generated hero image01:00:48 – Key takeaways and wrap-upFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/FIND LEON ON SOCIALYouTube: https://www.youtube.com/@leonvanzyl

Joe Liemandt built Trilogy, recruited 2,000 Ivy League graduates to Austin, and is now running what he considers the higher-leverage version of the same play, K-12 education. Our host, Jason Scharf, brings a perspective no other interviewer has. He is an Alpha School parent, and he uses that to ask the questions no one else has put to Liemandt. What happens when the app breaks mid-rollout, why diagnostic scores terrify new parents, and whether the motivation model survives past year one. But the bigger story is what Alpha and Austin's growing cluster of experimental schools are doing to the city itself. Families are relocating for schools that do not exist anywhere else. This education frontier is pulling learning scientists, game designers, and startup educators onto the same flywheel. The talent gravity is compounding in two complementary directions. The parents moving in are building and funding Austin's unicorns, and the kids coming out of these schools are the next generation of founders and operators. Agenda0:00 Intro and the Alpha School model 5:44 Good AI versus bad AI in the classroom 11:43 Diagnostic shock and what gifted students miss 16:04 Motivation and life skills versus vocational skills 21:08 Students making real money with AI tools 23:39 Hiring guides at $100K 26:34 The selection effect and founding families 31:51 Running a school like a startup 36:07 Iterating in public 42:27 Motivational models that actually work 47:01 Teaching kids to fail 49:33 Austin as the education capital 55:02 Education as the 20-year talent pipeline 57:52 Millionaires in high school 1:04:37 What college becomes next Guest Links & BioJoe Liemandt, Alpha SchoolJoe Liemandt is principal at Alpha School, a growing nationwide network of K-12 schools dedicated to creating self-driven learners. Using TimeBack™, an AI-driven education OS, Alpha students master academics in two hours per day, allowing them to spend their afternoons developing essential life skills, including leadership, teamwork, and entrepreneurship. His goal is to improve education for 1 billion students over the next 20 years.In the 1990s, Mr. Liemandt dropped out of  Stanford to found Trilogy, where he developed the first AI product to achieve $1 billion in revenue. He brings decades of experience in AI and technology to transforming K-12 education. -------------------Austin Next Links: Website, X/Twitter, YouTube, LinkedInEcosystem Metacognition Substack

Eleanor Millman, Senior Staff Product Manager, and Mina Tawadrous, Associate Director of Platform Engineering at SiriusXM, join host Justin Reock to discuss how platform teams can scale prioritization without relying on revenue.They share how SiriusXM moved beyond RICE to build a custom framework for internal platforms, using weighted factors like developer speed, reliability, cost, and trust to guide decisions across teams.The episode also explores their concept of “assumptions as code,” in which teams store and reuse assumptions in a central repository to reduce misalignment and improve decision-making, with AI helping to surface and validate those assumptions.They close with how this system is shaping SiriusXM's 2026 prioritization approach and what it signals about a broader shift toward builder-driven product development.Where to find Eleanor Millman: • LinkedIn: https://www.linkedin.com/in/eleanor-millman-98b10350Where to find Mina Tawadrous: • LinkedIn: https://www.linkedin.com/in/mina-tawadrous Where to find Justin Reock:• LinkedIn: https://www.linkedin.com/in/justinreockIn this episode, we cover:(00:00) Intro(01:17) Mina's role and path into platform engineering(02:03) Eleanor's background and shift into product(03:15) Scaling prioritization across platform engineering teams(05:41) Aligning platform priorities with stakeholders(09:08) Evolving RICE into a platform-specific prioritization framework(11:33) Iterating on the prioritization framework over time(16:57) How the framework, data, and conversations drive alignment(19:06) Storing assumptions as code in a central repository(26:47) Resolving assumption conflicts with user interviews(30:47) How stored assumptions integrate with AI workflows(35:30) Standard mode and different user personas(37:20) The industry shift towards builders(41:04) The challenges of platform engineering(43:36) How SiriusXM is prioritizing in 2026Referenced:• Measuring AI code assistants and agents• SiriusXM • VMware• How SiriusXM revamped their platform and developer experience• RICE Scoring Model | Prioritization Method Overview• The evaporating cloud: A tool for resolving workplace conflict

What if you haven't failed at something once or twice — you've been failing at the same thing for decades? Last week was public failure. This week it's private, repeated, long-term failure. And it's harder in a different way. For me, that thing is weight. I've been trying to lose it since I was a child. And what I eventually figured out about all those attempts changed the entire way I look at failure.Private Failure Has Its Own WeightNo one sees you stepping on the scale at six in the morning. No one sees the attempt that was working until it stopped. The people in your corner see the headlines — a good week, twenty pounds gone — but not the daily private reality. Private failure is lonely. And the accumulation of it can start to feel like evidence that you are simply broken in this one particular way.The Fresh Start TrapOur culture loves the clean-slate story. But fresh starts often require throwing away everything learned from the last attempt. Jenny Craig out, Weight Watchers in — and you're back at the beginning, carrying nothing forward. After years of this, Jill realized: what if the knowledge from the last attempt was actually valuable? What if she didn't need to start over — she just needed to iterate?Building a Toolkit from Every AttemptEvery attempt gave her something: the trainer fourteen years ago taught fitness science she still uses today. Weight Watchers gave her a food framework she still applies. Every time she thought she was starting over, she was actually carrying something forward — a principle that had become second nature, a piece of self-knowledge she didn't have before, a habit that had quietly snuck in.The Wrong Question — and the Right One'Why can't I make this happen?' assumes the problem is willpower or discipline. But what if something else is actually going wrong — something metabolic, hormonal, or structural — that no amount of grit can fix? Changing the question from 'what's wrong with me' to 'what is actually going wrong' opens a completely different door.Iteration Is Not Failure on RepeatIteration is progress. It's what happens when you make small incremental adjustments and try again — not a complete overhaul, just a nudge here and a nudge there. Every attempt is a little better than the last. You're not the person who keeps failing at the same thing. You're the person who keeps iterating on a hard problem. And you are not done yet.ClosingWhen you look at a long history of attempts, the thing that's actually happening is not an unbroken record of failure. It's an unbroken record of getting back up. That stubbornness — the quiet, unglamorous stubbornness of refusing to stay down — is actually the thing. Next week we talk about what happens when those iterations finally reach the right conditions.Jill's Linkshttp://jillfromthenorthwoods.comhttps://www.youtube.com/@startwithsmallstepshttps://www.buymeacoffee.com/startwithsmallstepshttps://twitter.com/schmernEmail the podcast at jill@startwithsmallsteps.comBy choosing to watch this video or listen to this podcast, you acknowledge that you are doing so of your own free will. The content shared here reflects personal experiences and opinions and is intended for informational and inspirational purposes only. I am not a licensed therapist, life coach, or mental health professional. Any habits, strategies, or suggestions offered should not be considered a substitute for professional medical, psychological, or counseling advice. Results vary — small steps look different for everyone. You are solely responsible for any decisions or actions you take based on this content.

Today we're talking with Andy Clegg of Baylor University and CTO of the Forum about his new Highly Dynamic Spectrum Sharing Work Group and their newly published technical reports created to address spectrum sharing solutions for the future.Main points (AI generated):0:50 – 2:32Andy explains the creation of the Highly Dynamic Spectrum Sharing (HDSS) Task Group within the Wireless Innovation Forum.Goal: extend spectrum sharing techniques (like CBRS and 6 GHz AFC) to support faster reconfiguration on much shorter time scales.TR 2017 defines time scales and provides a framework for “highly dynamic spectrum sharing” (H-DSS).TR 2016 builds on that and explores how to implement it with techniques and technologies.2:32 – 4:19TR 2017: defines time scales for different spectrum sharing regimes globally, leading to a new definition of H-DSS (sharing in seconds, not minutes/hours).TR 2016: explores techniques to make sharing more flexible and dynamic.4:19 – 13:10Key techniques and concepts discussed in TR 2016:Distributed incumbent sensing – using more, smaller sensors to improve detection and reduce false positives.RAN-based sensing – using base stations and handsets to detect incumbents, though technically challenging.Incumbent self-sensing – placing sensors directly with incumbents (e.g., on ships). DoD not yet supportive.Dynamic Protection Areas (DPAs) – extending and refining DPA neighborhoods, including airborne applications.Informing Incumbent Capability (IIC) – online portals for military to announce operations, enabling faster SAS adjustments.Closed-loop interference feedback – allowing incumbents to report actual interference, preventing overprotection and maximizing spectrum efficiency.Clutter detection – using sensing (possibly GPS-based) to measure environmental interference (trees, buildings, etc.) for more precise protection.13:12 – 15:00Future plans:Iterating and refining TR 2016.Adding more detail and results from ongoing experiments.Making TR 2016 a serial publication.Encouraging non-members to join and contribute to the HDSS task group.To learn more or to contribute to the group, please visit https://www.WirelessInnovation.org

Russell Breuer is the Founder and CEO of Spot & Tango, an innovative pet health and wellness brand that provides dogs with high quality, human grade meals, delivered direct-to-consumer.  Russell was inspired by his dog, Jack, to create the company, which now has over $100+ million in annual revenue and has sold over 120 million meals since inception. Prior to Spot & Tango, Russell worked in private equity and held leadership positions at BerchWood Partners, Zephyr Management, and Nash & Co Capital in London.  In This Conversation We Discuss: [00:00] Intro [01:43] Starting a venture as a side gig first [03:55] Sponsor: Migrate [05:54] Using free channels to find first users [06:56] Iterating platforms as the business grows [08:24] Starting local before scaling distribution [10:47] Sponsor: Intelligems [12:47] Failing fast to find what actually works [15:06] Aligning growth speed to profitability goals [18:08] Sponsor: Electric Eye [19:17] Building innovative products to scale [21:39] Callouts [21:48] Learning scaling operations the hard way [23:38] Recognizing that success is never a one-man show Resources: Subscribe to Honest Ecommerce on Youtube Healthy, fresh dog food delivery service spotandtango.com/ Follow Russell Breuer linkedin.com/in/russell-breuer-0b3b57 Migrate and grow more klaviyo.com/honest  Book a demo today at intelligems.io/ Schedule an intro call with one of our experts electriceye.io/connect   If you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

Get a breakdown of Tom's frameworks in my free newsletter: https://bit.ly/48JKUaaApply to work with me:https://bit.ly/4aqqEewTom Lewis is Steven Bartlett's advertising performance partner and co-founder of Metastat. At 22, he's helped scale brands and creators by replacing guesswork with data.In this episode, Tom explains how top creators use paid ads to test thumbnails, titles, hooks, guests, and even product ideas before publishing, sometimes for under £100 on The Diary Of A CEO. He shares how Meta ads can help predict virality, improve click-through rates, and turn content into a repeatable growth system.We also cover when creators should monetise, why many launch too early, and why paid ads should support organic growth, not replace it. A practical guide to turning content into predictable growth and revenue.Listen on your podcast player:https://podcasters.spotify.com/pod/show/creatorplaybooksFollow Callum on socials:Instagram - https://www.instagram.com/thecallumc/TikTok - https://www.tiktok.com/@heycallumX - https://x.com/mcdonnellcallumLinkedIn - https://www.linkedin.com/in/callummcdonnellProduced by 7xContent - make your own podcast with us:https://www.7xcontent.comFollow Tom: LinkedIn - https://www.linkedin.com/in/tom-lewis-a46877167/Timestamps (accurate + true to transcript)00:00 Introduction to Tom Lewis and Steven Bartlett's Advertising Machine00:13 Tom Lewis' Journey and Partnership with Steven Bartlett04:46 The Power of Paid Media and Experimentation05:22 Deep Dive into Testing and Experimentation12:20 Practical Tips for Running Effective Ad Campaigns18:47 Optimizing Meta Ads for Traffic21:19 Budgeting for Effective Ad Campaigns22:59 Balancing Creativity and Data24:04 Tom's Best Frameworks25:28 The Importance of Eliminating Guesswork26:38 Building a Brand Before Monetization29:12 Using Paid Ads to Catalyze Growth29:12 Understanding Meta's Ad Auction System34:08 Creating Engaging Ad Content35:08 The Power of Problem-Solution Hooks36:42 Leveraging Dragons' Den Pitches43:48 Iterating on Successful Ad Concepts52:06 Meta Ads Campaign Structure52:45 The Outlier Graph and Winning Ads55:07 The Evolution of Magic Ads57:39 Setting Goals for Meta Ads58:00 Instagram Profile Visits Strategy1:02:50 Retargeting and Audience Segmentation1:06:08 Choosing the Right Product for Creators1:11:51 The Future of Meta Advertising1:14:24 Focusing on Long-Term Customer Value1:21:44 Structuring Your Team for Success1:24:42 Insights on Working with Steven Bartlett1:27:00 Conclusion and Next Steps

Dave completes his Greek avgolemono-to-Chinese sour egg drop soup journey with a final iteration of lemony chicken soup. He makes it for a friend of the show, culinary consultant on Dinner Time Live, Marc Johnson.Marc and Dave talk about the process of getting a dish from its initial to its final version, how they met, Marc's career path, and Marc's recent marathon.They also compare their different ways of thinking about food and how they develop dishes when faced with constraints.Watch Dinner Time Live: https://www.netflix.com/title/81748864 Learn more about Congee NYC: https://congeenyc.com/Learn more about Cafe Boulud: https://cafeboulud.com/nyc/ Learn more about Blue Hill Farm: https://www.bluehillfarm.com/ Learn more about Majordomo: https://www.majordomo.com/ Learn more about Sézanne: https://www.sezanne.tokyo/ Learn more about The Chairman: https://www.thechairmangroup.com/ Learn more about WING: https://wingrestaurant.hk/ Learn more about Barbs B Q: https://www.barbsbq.com/ Learn more about Black's BBQ: https://www.blacksbbq.com/ Learn more about Kreuz Market: https://www.kreuzmarket.com/ Learn more about Hill Country: https://www.hillcountry.com/ Learn more about Sushi Sonagi: https://www.exploretock.com/sushi-sonagi-gardena/ Learn more about your ad choices. Visit podcastchoices.com/adchoices

On this episode of The Weekly Scroll Podcast, Ryan sits down with Ben Doran, aka ZONWARE, to talk about physical media, ashcans and playtest versions, the ttrpg grindset, and DEAD HALT—a game where your Maintenance crew uses random items from a Gashapon dispenser to go on adventures in a megalithic Hotel full of clunky computer consoles and modded humans going haywire. Find Zonware here: https://zonware.net/0:00 Start2:15 Who/What the heck is Zonware?6:30 Crowdfunding and game vs product15:55 What is Dead Halt?22:00 Physical media adventures33:40 The new stuff39:15 Grumhalll44:00 Iterating and playtest versions51:30 Grindset in the ttrpg space1:24:50 Call to action and wrap up All our links here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/theweeklyscroll⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@theweeklyscroll⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitch: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.twitch.tv/theweeklyscroll⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/the.weekly.scroll⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bsky.app/profile/theweeklyscroll.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://discord.gg/SQYEuebVab⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠At-Coast Merch: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bonfire.com/store/the-weekly-scroll/⁠⁠

In this talk, Aditya, an experienced AI Researcher and Engineer, shares his technical evolution—from his roots in embedded systems to building complex, large-scale AI agent architectures. We explore the practical challenges of enterprise AI adoption, the shifting economics of LLMs, and the infrastructure required to deploy reliable multi-agent systems.You'll learn about:- The ROI of Fine-Tuning: How to decide between specialized small models and general-purpose APIs based on cost and latency.- Agent MLOps Stack: The essential roles of guardrails, data lineage, and auditability in AI workflows.- Reliability in High-Stakes Verticals: Navigating the unique AI deployment challenges in the legal and healthcare sectors.- Evaluation Frameworks: How to design robust evals for multi-tenancy systems at scale.- Human-in-the-Loop: Strategies for aligning "LLM as a judge" with human-labeled ground truth to eliminate bias.- The Future of AGI: What to expect from the next wave of multimodal agents and autonomous systems.TIMECODES: 00:00 Aditya's from embedded systems to AI08:52 Enterprise AI research and adoption gaps 13:13 AI reliability in legal and healthcare 19:16 Specialized models and agent governance 24:58 LLM economics: Fine-tuning vs. API ROI 30:26 Agent MLOps: Guardrails and data lineage 36:55 Iterating on agents with user feedback 43:30 AI evals for multi-tenancy and scale 50:18 Aligning LLM judges with human labels 56:40 Agent infrastructure and deployment risks 1:02:35 Future of AGI and multimodal agentsThis talk is designed for Machine Learning Engineers, Data Scientists, and Technical Product Managers who are moving beyond AI prototypes and into production-grade agentic workflows. It is especially relevant for those working in regulated industries or managing high-volume API budgets.Connect with Aditya:- Linkedin - https://www.linkedin.com/in/aditya-gautam-68233a30/Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

In this episode of Product Momentum, we're joined by Bansi Mehta, founder and CEO of Koru UX Design, an enterprise healthcare UX agency supporting some of the US’s largest healthcare technology companies. We discussed the busy intersection of artificial intelligence, product management, and UX Design. Bansi's Sense – Shape – Steer framework helps guide UX design teams as they integrate AI into their products – and avoid the trap of AI's drive toward mediocrity that limits individual creativity and expertise. Here's what we learned: Avoiding the Trap: AI Solutions' Race to Mediocrity AI's ability to rapidly generate hi-fi prototypes and voluminous content brings great benefit, but also significant risk. The risk manifests in mediocrity – i.e., solutions that drive to the mean. This sense of “good enough” stifles designer creativity and diminishes the quality – the Delight – of the final product. “The speed of AI makes it easier than ever to churn screens,” Bansi says. “But it's designed to deliver to that average mean that allows us to say, ‘that works, that makes sense.' And that's really the trap….these days, there's less patience in the industry for discovery and research.” Introducing the Sense – Shape – Steer Framework To combat this new reality, Bansi developed the Sense – Shape – Steer framework to help teams navigate the complexity of building AI-powered products. Sense. Understanding the Problem/Opportunity.“Sense is where you're really creating that sense of what is worth solving,” Bansi explains. “It's the intersection of what the user needs, what insights we have in terms of their challenges, and the opportunities that are present. But we mustn’t stop there. We then look to see what AI can do for us. And where we see the intersection, that’s the sweet spot.” Shape. Designing the AI-Enhanced User Experience.We emerge from the Sense step with rich insights into our user's desired experience, Bansi continues. “And as we approach Shape, we do so with an emphasis on the kind of UX challenge that we are trying to solve – from the user’s perspective. Using a storyboard, we proceed frame by frame to define the user's journey, the problem that we are trying to accomplish.” Steer. Implementing, Evaluating, and Iterating.The Steer step comes once you have built something and you launched, Bansi says. “This is where we define and clearly articulate our AI eval criteria that we've said are critical for product success,” Bansi adds. “I've seen products make it or break it depending on whether they got their AI evals right. It’s one thing to hypothesize that your solution will work. But it’s a completely different thing when you actually try to build sophisticated agentic AI layers where there’s multiple configurations and prompts.”   Broader Insights, Future Outlook The conversation underscores the notion that while AI accelerates development and content generation, it also requires subject matter experts in UX and Product to demonstrate greater vigilance than ever to maintain quality and relevance. The Sense – Shape – Steer framework calls on product teams to think first about user needs before considering whether and how to integrate AI. Our episode with Bansi Mehta feels like the capstone conversation to recent episodes with Nesrine Changuel, Teresa Torres, and Oji Udezue, where we examined bringing Delight to the user experience, re-engaging Discovery in the development process, and adjusting to the Speed of today's AI-driven development. The post 182 / How ‘Sense Shape Steer' Helps UXers Design AI Solutions, with Bansi Mehta appeared first on ITX Corp..

Today I'm telling you the behind the scenes stories of how I created The Dream Biz Playground and the iterations it went through. As neurodivergent humans, we are often shamed for being “not disciplined” or being “quitters” or “not following through.” But I like to think we are just really good at knowing what is for us and what isn't. You might think if you changed your offer then you're a failure or you built it wrong the first time when actually you were just doing a very necessary part of business: iterating! Listen in to this episode to learn:How my first 2 launches of my community flopped and whyHow iterated from The Dream Biz Mastermind, to The Lab, and now to The PlaygroundWhy creative play is foundational to discovering what you want from your business How my coach helped me use my CliftonStrengths to build my Most Me OfferCoaches Mentioned: Katrina WidenerMolly BalintTracy StangerFollow me on InstagramWork with Me!

In this episode we sit down with Jonathan to discuss the learning curve of using CLA when coaching, as well as how he studies jiu jitsu, using the Outlier Database, and journaling for improvement with Sherpa. Hope you enjoy! Download Sherpa, the free AI-powered journaling app for athletes. Join the convo with Josh on Discord here. Use the code "BJJHELP" for 50% off your first month on Jake's Outlier Database to study match footage, get links to resources, and more.Use code “BJJHELP” at submeta.io to try your first month for only $8!

Alex Gleason was one of the main architects behind Donald Trump's Truth Social. Now he focuses on the intersection of nostr, ai, and bitcoin. We explore open source ai agents, such as OpenClaw, and the wider implications of the tech on society.Alex on Nostr: https://primal.net/p/nprofile1qqsqgc0uhmxycvm5gwvn944c7yfxnnxm0nyh8tt62zhrvtd3xkj8fhggpt7fyClawstr: https://clawstr.com/Soapbox Tools: https://soapbox.pub/toolsMy bot's nostr account: https://primal.net/p/nprofile1qqsfzaahg24yf7kujwrzje8rwa7xmt359tf9zyyjeczc9dhll30k8pgmlfee2 EPISODE: 190BLOCK: 935786PRICE: 1422 sats per dollar(00:02:30) Value-for-value, no sponsors, and show philosophy(00:02:39) Alex Gleason returns to talk AI(00:03:56) From vibe coding to open-source agents with memory(00:05:24) Messaging-first UX: Signal, Nostr, WhatsApp as AI interfaces(00:06:10) Why chatbots beat traditional AI apps for mainstream users(00:07:07) Open protocols pain vs closed platforms; Bitcoin and Nostr(00:08:52) Automating social games: price tracker and agent posting on Nostr(00:10:01) AI mediators for collective action, constitutions, and nonprofits(00:11:46) Scaling governance: trust, bias, and Discord vs freedom tech(00:13:14) Bot barriers on centralized messengers and need for open chat(00:14:04) Clawstr: decentralized AI-to-AI discussions on Nostr(00:15:21) Hype vs reality in AI agents; emergent behaviors and money(00:16:26) Agentic payments: bots with Cashu wallets and earnings(00:18:40) Agents solving UX pain: relay management, keys, and UTXOs(00:20:00) Cold storage approvals with chat agents: a new wallet paradigm(00:20:22) Specialized agents, skills, and distribution challenges(00:22:34) Cost tradeoffs: pay another agent vs build skills yourself(00:24:55) Token burn lessons(00:27:44) Beyond OpenClaw: bloated stacks, Icarus, and cost-optimized agents(00:28:52) Hybrid model routing: local small models with cloud for heavy lifts(00:29:47) Agents paying humans directly: disintermediating platforms(00:30:47) Voice, screens, and form factors: AirPods, text, and brain chips(00:33:01) Apple, privacy branding, and the Siri gap(00:34:35) Enterprise AI choices: Google, Microsoft, trust, and lock-in(00:36:01) Model personalities: Gemini concerns and OpenAI "openwashing"(00:37:23) Obvious agent UX wins: flights, rides, and social media shifts(00:38:50) Local-first social: group chats, neighbors, and healthier networks(00:40:16) Antiprimal.net: standardizing stats from Primal's caching server(00:43:34) Open specs, documentation via AI, and trust tradeoffs(00:45:18) Indexes vs client-side scans: performance and verification(00:46:20) APIs, rate limits, and a market for paid Nostr data(00:47:57) Agents and DVMs: paying sats for services on demand(00:48:49) Degenerate bots: LN Markets, costs, and Polymarket curiosity(00:50:42) Truth feeds for agents: Nostr, webs of trust, and OSINT sources(00:53:51) Post-truth reality: verification, signatures, and subjectivity(00:56:04) Polymarket mechanics: on-chain prediction markets and signals(01:00:10) Trading perception vs truth; sports markets as timelines(01:01:45) The Clawstr token saga: hype, claims, and misinformation(01:07:11) Why meme coins are scams: no equity, utility myths, slow rugs(01:08:55) Pulling the rug back: swapping out, fallout, and donations(01:10:49) Aftermath: donating to OpenSats and lessons learned(01:12:14) Prediction markets vs meme coins: societal value distinction(01:15:25) Iterating beyond OpenClaw and MoltBook; experiments on Nostr(01:18:00) Do bots need Clawstr? Segregating AI content and labels(01:21:02) Reverse CAPTCHA: proving bot-ness and the honor system(01:23:38) Souls, prompts, and token costs; agents with personalities(01:27:01) Wrap-up: acceleration, optimism, and next check-in(01:28:21) Open-source models, China's incentives, and local hardware(01:30:06) The dream stack: home server agent, Nostr chat, hybrid modelsmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyz

Show Notes: Angie Lu highlights her background as a McKinsey alum and founder of CasewithAI. Angie explains that CasewithAI is an AI-powered platform designed to help with case interviews, providing practice cases and drills. The platform offers objective feedback to improve case performance. Angie mentions starting a YouTube channel during COVID-19, which led to a high demand for consulting tips and coaching. The Development of CasewithAI Angie discusses the inspiration behind CasewithAI, including the success of Chat PRD, an AI tool for product managers. She explains the decision to build an AI-assisted platform to help more people and learn more about AI. Angie emphasizes her passion for building products and combining it with her curiosity about AI. The conversation turns to the success of Angie's YouTube channel, mentioning specific videos with high view counts. Demonstration of CasewithAI Angie walks through the homepage of CasewithAI, explaining its features and benefits. Angie describes the key challenges of case interviews, such as finding the right case partners and consistent feedback. The platform offers affordable quality coaching and allows users to practice at any time. Angie demonstrates the user interface, showing how to start a free practice session and select specific drills. Market Size and Pricing Market Sizing Drill Practice Angie explains the market sizing drill, describing it as a mini case that requires creating an approach, calculations, and insights.She discusses the pricing options, including pay-as-you-go credits and monthly subscriptions. Angie highlights the affordability of the platform, comparing it to the high cost of hiring a private coach. The platform offers a free trial with three case examples to allow users to fully experience the product before purchasing. The Feedback Features Angie demonstrates the detailed feedback provided by the platform, explaining the rating system and criteria. The feedback includes strengths, areas for improvement, and specific recommendations for each question. Angie introduces the progressive feedback mode, which is perfect for beginners and provides guided practice. The platform offers a real-life interview simulation mode, where users can practice with an AI interviewer. AI Interviewer The Building Process Angie shares the process of building the platform, starting with a simple MVP and quickly iterating based on user feedback. The small, nimble team used AI tools to prototype and improve the platform quickly. Angie emphasizes the importance of training the AI model to provide accurate and detailed feedback. The platform's success is attributed to a combination of product development and effective marketing strategies. Promoting CasewithAI Online Angie discusses the various marketing channels used to promote CasewithAI, including YouTube, TikTok, Instagram, and Chinese social media sites. The platform also engages with users on Reddit and through university partnerships. Angie highlights the importance of marketing in making users aware of the product and its benefits. The platform's visibility on search engines like Google and AI-powered answer engines contributes to its lead generation. Future Applications of CasewithAI Angie talks about the potential of AI tools like CasewithAI in various professional development areas. Angie sees the platform's application beyond consulting, including tech, operations, and product management roles. The tool could also be used for training frontline managers and employees in other industries. Angie emphasizes the importance of AI in encoding tacit knowledge and providing detailed feedback for continuous improvement. Timestamps: 02:13: Development of CasewithAI  04:54: Demo of CasewithAI Platform  07:10: Market Sizing Drill and Pricing  12:29: Detailed Feedback and Progressive Feedback Mode  21:53: Building and Iterating the Platform  23:57: Marketing and User Engagement  24:31: Future of AI in Education and Professional Development  Links: Website: CasewithAI.com This episode on Umbrex: https://umbrex.com/?post_type=unleashed&p=243677&preview=true Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

Amy Hackenberg, Understanding Units Coordination ROUNDING UP: SEASON 4 | EPISODE 11 Units coordination describes the ways students understand the organization of units (or a unit structure) when approaching problem-solving situations—and how students' understanding influences their problem-solving strategies. In this episode, we're talking with Amy Hackenberg from the University of Indiana about how educators can recognize and support students at different stages of units coordination. BIOGRAPHY Dr. Amy Hackenberg taught mathematics to middle and high school students for nine years in Los Angeles and Chicago, and is currently a professor of mathematics education at Indiana University-Bloomington. She conducts research on how students construct fractions knowledge and algebraic reasoning. She is the proud coauthor of the Math Recovery series book, Developing Fractions Knowledge. RESOURCES Integrow Numeracy Solutions Developing Fractions Knowledge by Amy J. Hackenberg, Anderson Norton, and Robert J. Wright TRANSCRIPT Mike Wallus: Welcome to the podcast, Amy. I'm excited to be chatting with you today about units coordination. Amy Hackenberg: Well, thank you for having me. I'm very excited to be here, Mike, and to talk with you. Mike: Fantastic. So we've had previous guests come on the podcast and they've talked about the importance of unitizing, but for guests who haven't heard those episodes, I'm wondering if we could start by offering a definition for unitizing, but then follow that up with an explanation of what units coordination is. Amy: Yeah, sure. So unitizing basically means to take a segment of experience as one thing, which we do all the time in order to even just relate to each other and tell stories about our day. I think of my morning as a segment of experience and can tell someone else about it. And we also do it mathematically when we construct number. And it's a very long process, but children began by compounding sensory experiences like sounds and rhythms as well as visual and tactical experiences of objects into experiential units—experiential segments of experience that they can think about, like hearing bells ringing could be an impetus to take a single bong as a unit. And later, people construct units from what they imagine and even later on, abstract units that aren't tied to any particular sensory material. It's again, a long process, but once we start to do that, we construct arithmetical units, which we can think of as discrete 1s. So, it all starts with unitizing segments of experience to create arithmetical items that we might count with whole numbers. Mike: What's really interesting about that is this notion of unitizing grows out of our lived experiences in a way that I think I hadn't thought about—this notion that a unit of experience might be something like a morning or lunchtime. That's a fascinating way to think about even before we get to, say, composing sets of 10 into a unit, that these notions of a unit [exist] in our daily lives. Amy: Yeah, and we make them out of our daily lives. That's how we make units. And what you said about a ten is also important because as we progress onward, we do take more than 1 one as a unit—like thinking of 4 flowers in a row in a garden as a single unit, as both 1 unit and as 4 little flowers—means it has a dual meaning, at least; we call it a composite unit at that point. That's a common term for that. So that's another example of unitizing that is of interest to teachers. Mike: Well, I'm excited to shift and talk about units coordination. How would you describe that? Amy: Yeah, so units coordination is a way for teachers and researchers to understand how children create units and organize units to interpret problem situations and to solve problems. So it originated in understanding how children construct whole number multiplication and division, but it has since expanded from just that to be thinking more broadly about units and structuring units and organizing and creating more units and how people do that in solving problems. Mike: Before we dig into the fine-grain details of students' thinking, I wonder if you can explain the role that units coordination plays in students' journey through elementary mathematics and maybe how that matters in middle school and beyond middle school. Amy: So that's where a lot of the research is right now, especially at the middle school level and starting to move into high school. But units coordination was originally about trying to understand how elementary school children construct whole number multiplication and division, but it's also found to greatly influence elementary school children's understanding of fractions, decimals, measurement and on into middle school students' understanding of those same ideas and topics: fractions ratios and proportional reasoning, rational numbers, writing and transforming algebraic equations, even combinatorial reasoning. So there's a lot of ways in which units coordination influences different aspects of children's thinking and is relevant in lots of different domains in the curriculum. Mike: Part of what's interesting for me is that I don't think I'm alone in saying that this big idea around units coordination sounds really new to me. It's not language that I learned in my preservice work[, nor] in my practice. So I think what's coming together for me is there's a larger set of ideas that flow through elementary school and into middle school and high school mathematics. And it's helpful to hear you talk about that, from the youngest children who are thinking about the notion of units in their daily lives to the way that this notion of units and units coordination continues to play through elementary school into middle school and high school. Amy: Yeah, it's nice that you're noticing that because I do think that's something that's a strength of units coordination in [that] it can be this unifying idea, although there's lots of variation and lots of variation in what you see with elementary students versus middle school students versus high school students versus even college students. Some of the research is on college students' unit coordination these days, but it is an interesting thread that can be helpful to think about in that way. Mike: OK. With that in mind, let's introduce a context for units coordination and talk a little bit about the stages of student thinking. Amy: Yeah. So, one way to understand some differences in how children up through, say, middle school students might coordinate units and engage in units coordination is to think about a problem and describe how solving it might happen.  Here's a garden problem: "Amaya is planting 4 pansies in a row. She plants 15 rows. How many pansies has she planted?" There are three stages of units coordination, broadly speaking—we've begun to understand more about the nuances there. But a stage refers to a set of ways of thinking that tend to fit together in how students understand and solve problems with whole numbers, fractions, quantities, and multiplicative relationships. It's sort of about a nexus of ideas, and—that we tend to see coming together and students don't usually think in a way that's characteristic of a different stage until they've made a significant change in their thinking, like a big reorganization happens for them to move from one stage to the next. So students at stage 1 of units coordination are primarily in a 1s world and their number sequence is not multiplicative. That's going to be hard to imagine. But they can take a group of 1s as one thing. So, they can make a composite unit and that means in the garden problem, they can take a row of pansies as 1 row as well as 4 little ones, and they can continue to do that over and over again. And so they can amass rows of 4 pansies and keep going. And what it usually looks like for them to solve the problem is they'll count by 1s after any known skip-counting patterns. So, in this case they might be like, "Oh, I know 4 and 8; that's two rows. 9, 10, 11, 12; that's three rows." Often using fingers or something to keep track, or in some way to keep track, and continuing to go up and get all the way, barring counting errors, to 60 pansies. And so for them the result, 60 pansies, is a composite unit. It's a unit of 60 units, but they don't maintain the structure that we see at all of the units of 60 as 15 fours. That's not something—even though they did track it in their thinking—they don't maintain that once they get to the 60, it's really just only a big composite unit of 60. So their view of the result is very different than an adult view might be.  So, the students at stage 1 can solve division problems, which means if they give some number of pansies and they're supposed to make rows of 4, they can definitely do it, they can solve that. But they don't think of multiplication and division as inverses. So let me say what I mean by that. If they had this problem next, so: "Amaya's mom gave her 28 pansies. How many rows of 4 can she make?" A student at stage 1 could solve that problem, and they would be able to track 4s over and over again and figure out that they got to 7 fours once they get to 28. But then if immediately afterwards a teacher said, "Well, so, how many pansies are there in 7 rows of 4?," the student at stage 1 would start over and solve the problem from the beginning. They wouldn't think that they had already solved it. And that's one telling sign of a student operating at stage 1. And the reason is that the mental actions they engage in to do the segmenting or the tracking off of the 4s and the 28 pansies are really different to them than what they use then the ways of thinking they use to create the 7 rows of 4 and make the 28 that way. And so they don't recognize them as similar, so they feel like they have to engage in new problem solving to solve that problem. So, to get back to the garden problem, students at stage 2 have a multiplicative number sequence, so they think of 60 as a one that they could repeat. Iterating is a term we often use. They could imagine it just being repeated over and over again. And this is a contrast to students at stage 1 who think of 60 as like, "Oh, I got to have all 60 pansies there if I'm going to think about a number like 60." Whereas students at stage 2 do have a multiplicative number sequence and so they think, "Oh, I don't have to have all my 60 pansies. I can just think about one pansy and I just repeat it however many times I need, to have however many pansies I want to imagine in my problem solving." So they anticipate 60 as 1 sixty times. And that's obviously a great relief for kids who are dealing with big numbers. You can imagine it feels really onerous to think about 1,000 if you feel like you have to have 1,000 items in your mind, "Oh, how could I possibly do that?" But, "Oh, I don't have to have 1,000; I can just have 1 and I can repeat it." That's a great economy, efficiency in thinking that happens.  So in terms of the garden problem, students at stage 2 also have constructed a row as a thing to count, so a composite unit's one item as well, so 4 little items. And they can amass 4s just like I was talking about with students at stage 1. But what they are also able to do is break apart 4s as they go along. They might say, "Well, I've got 4 and 4 is 8 and one more [4] is 12 and one more is 16 and one more is 20 and one more is 24 and one more is 28." Maybe at that point they say, "Oh, let's see. I don't know what one more 4 is, but two more [4s] is 30 and then two more is 32." So they can take the row apart. They don't all do this, but they can; they have the mental capabilities to do that because they're not right in the midst of making the coordination happen. They're sort of a little bit able to stand above the coordination and take their rows apart if they need to. Mike: It sounds like part of what happens at stage 1 is you might have a kid who potentially could count by 4s for lack of a better way of saying it. And they might say, "Well, 4 and 4, so 2 sets of 4s, [is] 8." And then at some point it kind of breaks down where that memorized list of what happens when you count by 4. And then kids are back to saying, "OK, 12, 13, 14, 15, 16." And if you were watching this, listeners, you would see that I stuck out four fingers and then I'm like, "OK, so that's 3 fours, and so on." And so I would see a student who might appear to be thinking about units, but tell me if I'm correct in thinking that it's more a function of that they know a set of numbers in accounting sequence for counting by 4s. Amy: So students at any stage may vary in the skip-counting patterns they know. I call it knowing a skip-counting pattern, to know automatically, like, 4, 8, 12, 16, or whatever it is. So you could have a student at stage 2 who doesn't know their skip-counting patterns very well, and you also could have a student at stage 2 who counts by 1s. So that's the issue there, is you can't always tell just from what you see if you have to do more than the test of what I'm saying. It's just to give a sense of the stages. But the main thing is the outer boundary of what they can do at stage 2 is they don't have to count by 1s. They can do other things because of the fact that their composite units have this special feature where they're multiplicative in nature. I mean the fancy term for it is they have iterable units of 1.  But let me say a little bit more about what happens when they get to 60. So, let's say a student at stage 2, they've gotten up to 60, there are 60 pansies and there are 15 rows of 4. They will think of the 60 as 15 fours as they make it. So we call it a three levels of unit structure. 60 is a unit of 15 units, each containing 4 little ones. They'll think about [it] that way as they solve the problem, but as they continue to work further and add more pansies on or do a further extension of the problem, they wouldn't maintain that three levels of units structure that we see. So that's important because it has implications for how they can build from what they've done. Mike: How would you know that they hadn't maintained it? What might they say or do that would give you that cue? Amy: Well, so you see it most if, let's say I say, "Oh, guess what? We got 12 more pansies and you're going to put 'em in rows of 4. Can you put those on?" And then they put 'em on. OK, they find out it's 72 now. "OK, so how many rows are we talking here?" It would be a new problem for them to figure that out. It wouldn't be like they would be able to maintain that, "Oh, I had 15 rows and then I now have the 3 more added on." Mike: Got you. OK. Amy: So, you see they're having to remake stuff as adult learners. We would think, "Oh, you should already know that that's 15 fours, right?" But they'll have to redo that in solving an extension of the problem like I was talking about there.  So students at stage 3, they also can definitely take 4 as a row of 1 and also 4 pansies. They can arrive at 60 and view it as a unit of units, but they also can view it as a unit of 15 units, each containing 4, and they maintain that. So, if they were asked a further problem, like, "Hey, we're going to rearrange this garden; we're going to actually 3 rows together at a time. Can you do that, and how many rows would you have and how many pansies in each row? And what would be the total?" They'd be able to say, "Oh, yeah, I can, let's see, put my 3 rows together, that's going to be 12, and then I'm going to end up with 5 of them." And now they've created 60 as a unit of 5 rows, each containing 12, and they can still think of 60 as a unit of 15 units, each containing 4, or 15 rows, each containing 4. So they can switch between different unit structures.  It doesn't mean they automatically know it without thinking it through, but they can do it and they can go back and forth. And that has great implications for anticipating and for solving division problems and seeing them as inverses of multiplication and a whole lot of stuff: proportional reasoning, fractions, lots of things. [laughs] Mike: I think what's really interesting about this is I really appreciate you walking through the mental processes or maybe even the mental scripts that the kids might engage in to help see behind the curtain, for lack of a better word. Because what strikes me is that there is a point, probably early in my teaching career, where I would've attended and focused mostly on, "Did they get the answer?" And I think what you're helping remind me of is that it's the "how," but there are particular ideas. And now I think I understand why the notion of units—plural—units coordination matters so much because a lot of what's happening is their ability to coordinate a unit made of units and then to be flexible with the units within that unit of units. Am I making proper sense of that, Amy? Amy: Yeah, for sure. That's great; that's exactly it. So the process and what units get created and how they get thought about and used is actually really, really important in trying to support kids' multiplicative thinking among other kinds of thinking too. Mike: I think this is a great segue because I suspected a lot of teachers are wondering about the kinds of tasks or practices or questions that they might use that could nudge students' thinking regarding units coordination. And I'm wondering: What are some ideas you'd recommend for teachers as they're trying to think about how they assess but also advance their students' thinking when it comes to units coordination? Amy: That's a great question. And, I mean, the big response is: Have students engage in lots of reasoning with units—composite units, breaking apart numbers strategically, thinking about different solution pathways. So not just one solution pathway, but can you come up with multiple solutions for the problem? Really sharing student solutions that involve breaking apart units. So if you're doing something like 5 sevens and finding out that kids are thinking of it as 5 fives and 5 twos, let's share that. How else could we break apart the 5 sevens? 5 fives and 5 twos? Why is that maybe helpful compared to other ways we might think about it? We might know 5 fives and 5 twos more easily than other ways of breaking it apart. And then even how are kids thinking about the 5 twos and the 5 fives and evaluating each of those. So basic things like that are super important. How many rows can we make with 36 flowers with 4 per row? Thinking strategically about that, like: I know that 5 fours is 20 and I need 16 more flowers, so that's 4 fours because it's double 2 fours, so 8, so that means 9 rows total. So I'm just kind of really briefly talking through, but posing these kinds of tasks and then asking for how students can break them up and think about them and presenting and making public that kind of thinking and reasoning. So valuing it in that way and sharing it.  Same thing with lots of even more advanced multiplication problems. So for example, my daughter's in fourth grade right now, and so we've been working with her on, like, 30 times 20 and doing something other than knowing 3 times 2 and then putting 0s on because she doesn't remember that. So to do 30 times 20, we asked her about 10 twenties. Oh, she can figure that out; that's 200. And then can I iterate? Oh yeah, another 10 twenties, another 10 twenties. And then we did like 40 thirties, which was definitely harder. And so as part of the process of that, after she figured out 10 thirties, when she was iterating her thirties, that was harder than iterating the twenties. She had to break apart numbers. When she got to 90 plus 30, she had to think about 90 plus 10 plus 20. So doing embedded, breaking apart of units with the prospect of trying to figure out a larger multiplication problem, is super important. And interestingly, she could do 900 plus 300 and figure out that that was 900 and 100 to get 1,000 and then 200 more. So that's additive reasoning, but it's the breaking apart of units and reconstituting them. That's what's really important in the process of solving multiplication and division problems. So that's my big thought about [laughs] that. And the other thing is to not go to patterns too soon. I mean, this is related to what I just said about not thinking that I can just do 3 times 2 and then add 0s and count the 0s because that really doesn't develop. It misses so much in what you can do with units. And so even if some kids do remember that and get the answer right, they're really robbed of the experience that we're trying to give to my daughter of really thinking about, "Well, how can I figure out 40 thirties or 30 forties or 30 twenties?" [laughs] Right now I'm a big advocate of actually doing lots of counting by decade numbers because I feel like it's a way of really enhancing kids' work with larger multiplication. Mike: I've been sitting listening to you talk about this, Amy, and there are multiple things where I'm like, I need to ask her about this. I need to ask her about that. I need to ask about this other thing. So I'm going to ask you a couple of follow-ups.  One of the things that is just an observation is the language you used when you were talking about your work with your daughter. When the original task was "30 times 20" and you shifted the language to say "30 twenties," and then you step back even a little bit from there and you said, "Well, what's 30 tens?" This language that you were using, I wonder if you could be explicit about what you think that shift in language accomplishes. Amy: Yeah, I've been also thinking a lot about this, so it's great. Yeah, one of the problems with multiplication notation is that it doesn't make clear anything about what the group is and what the number of groups you have are. And so just saying "30 times 20," I mean, you can think of that as "30 twenties" or I can think of that as "20 thirties," but the language doesn't contain it, so it doesn't refer to the action I might do in thinking about how to actually figure it out. And kids have to bring a lot to the table, then, to really read that into that multiplication notation. It's even more so with fractions. I can say more about that in a second. So I really am advocating with my preservice teachers is that we speak in iterative language with the multiplication. So we try to always say, "I'm talking about 5 sevens," or "I'm talking about 7 fives, 30 forties, 40 thirties." And then of course with the decade numbers, knowing that we can go down to 10 of something and that that's easier to figure out, and then we can build on that. So like 10 twenties and then, "Oh, I'm going to need 3 of those 10 twenties to get to 30 twenties." Mike: Which really to some degree is helping them make meaningful sense of the associative property as well. Amy: Right! Yeah, exactly. It's very mathematically rich. Unfortunately, it's not necessarily worked on [laughs] a lot, I am finding, and I think it's a real missed opportunity. Because I think there's a lot that kids could do with that that would really build strong meanings for multiplication and strong ideas of base ten as well. Mike: Yeah, absolutely. I think one of the things that I've been obsessed with lately is this notion of "nudge" or small-sized shifts in my practice that I can make. Part of what I'd like to mark for the audience is the shift in the language, as you described—30 twenties or 5 sevens—those are moves that a teacher could make to help clarify the fact that units are involved and help students visualize with a bit more clarity what's going on. That feels like something that a teacher could take up and really have an impact on students' understanding. Amy: Yeah, I think so. I think it is something that is reasonable, and what's nice is it also can flow right into fractions because then instead of saying just, "three-fifths," we say, "3 one-fifths, 4 one-fifths, 5 one-fifths, 6 one-fifths, 7 one-fifths." It allows for fractions larger than 1 to have maybe more of an iterative meaning. Not that that's a simple thing at all; that's a whole nother podcast we could do, but [laughs] I've done a lot of research on that. Mike: Well, I think you're hitting on something important, though, Amy, because this notion of, "What is a unit fraction?," it's really, "Four-fifths is a group of 4 one-fifths," right? And that's a critical understanding that I think often floats underneath students' understanding in ways that, if we could make that clearer or help build that understanding, that also has huge ramifications for what comes later in their mathematics learning experience. Amy: Yeah, so I'm a big proponent of iterative language there as well. Mike: You have me thinking about something else too, which is the importance of context and having students deal with measurement division problems specifically as a way to build their understanding. And I know I'm using language right now for the audience that might not be super clear, but I'm wondering if you could talk a little bit about what measurement division means in context and maybe why that would be valuable for students. Amy: Yeah. Right. So, in multiplication and division structures, if we're talking about equal groups, there's always some number of equal groups, some number in the equal group, so a size of the group, and then a total number of items. And so, with measurement division, we know the total number of items, and we know the number of items in a group, but we don't know the number of groups. So my example of, "You've got 36 flowers, and you want to put them in rows of 4" would be a measurement division problem because we know that there are 4 in each row, and we know we have 36, but we don't know how many rows we're going to make. And so those are really nice to pair with work on equal groups multiplication problems because they are very closely related. And for kids, they can become closely related as they solve them and realize, like, "Oh, I can use my multiplication strategies to build up my 4s and find out when I get to 36," and, "Oh, then I do, I know how many rows I've made." So it's highly linked to what we're talking about here. Mike: What I found myself thinking about is that in solving that problem, one of the ways that a kid could do that is they're iterating a set, right? So, potentially, they're iterating a set of 4s multiple times, and then they're finding out how many of those sets of 4 they have, right? So I think part of what you're helping me think about is the way that the structure of a measurement division problem maybe shines a flashlight on this notion of groups and the number in each group, and also some of the ideas you were talking about earlier with units coordination. Amy: Yeah, for sure. And in terms of continuing the theme of using iterative language, then when you get the result of that problem, 9 rows, "Oh, what does that 9 mean?" "Oh, it means 9 fours make 36." So that's a meaning both for 4 times 9 equals 36, as well as 36 divided by 4 equals 9. So it's nice to emphasize that. And yeah, as students build those meanings and have repeated work with that kind of thing, they usually, often—[laughs] we don't know all the mechanisms here—but they usually come to be able to at least make that coordination in their problem-solving activity, and ultimately make it so they can anticipate it, like we're talking about with stage 3. Mike: One of the things that is really helpful is, in the course of this interview, we've talked a lot about what might the behavior of a student at stage 1 or stage 2 or stage 3 not only look like, but what might it mean for how they're thinking. And I think what I'm really appreciating about this, Amy, is there are a few practical things that an educator could do to support students. One is iterative language as we've been talking about. And the other is measurement division, using a particular problem structure like measurement division to shine a light on these parts that we think are really important for kids to attend to if they're in fact going to make some of the shifts that we're hoping for. Amy: Yeah, for sure. And then also exploring the boundaries of what the kids' strategies are and asking for multiple solutions. Because you might see kids, even students at stage 3, that might be counting by 1s, and so you want to [prompt], "Oh, can you solve that another way? Is there another way you can do it?" And so seeing what they see as possible, what they're able to think about is also really important to support units coordination. Mike: Absolutely. Before we close, I typically ask a question about resources or training or learning experiences that would help someone who's listening continue learning or continue to think about how they could take up these ideas in their practice. You, particularly, I know have written some work around this and I also suspect that you might have some recommendations in terms of organizations that can help educators really dig into these ideas if they saw that as something that was important for their growth. Would you be willing to talk a little bit about resources, organizations, or even the types of experience you think support teachers as they're making sense of all of this? Amy: Yeah. Well, yes. I was planning to talk about Integrow at this point because Integrow Numeracy Solutions has a lot of great supportive materials for all this kind of work. And everything that I'm talking about is something that is sort of built into much of what they do. For people who are unfamiliar, it's a bit—council, used to be called a council, of people who got together and have really developed materials that are supportive of teachers working one-on-one to support students who might be struggling as well as whole-group instruction all around developing strong number sense. And it's a very well developed set of materials, both for classroom use as well as for teacher development.  And we—meaning me and my two coauthors, Andy Norton and Bob Wright—wrote a book in the series for teachers on fractions called Developing Fractions Knowledge. And that was published—oh my gosh—nine years ago now. So Andy and I are working on a second edition right now, and in that book we address units coordination and talk about its usefulness for teachers. It's mostly, though, a book about fractions and about how units coordination is relevant in trying to support students' fractions knowledge and to help assess students' thinking and also promote their learning. So that is one resource I can recommend on units coordination with a revision coming in the next year [2026]. Mike: That's fantastic. So I'll say for listeners, we'll include a link to Integrow Numeracy Solutions if you want to check out the organization. And Amy will also add a link directly to the book so that if someone wanted to dig in and explore that way they had the option.  I think that's probably a great place to stop, although I certainly would love to continue. I want to thank you so much for joining us. It's really been a pleasure talking with you. Amy: Yeah, likewise, Mike. I've really enjoyed it, and I look forward to further conversations. Mike: This podcast is brought to you by The Math Learning Center and the Maier Math Foundation, dedicated to inspiring and enabling all individuals to discover and develop their mathematical confidence and ability. © 2026 The Math Learning Center | www.mathlearningcenter.org

In this video, we explore why many e-commerce ads fail not due to poor advertising but because of post-click issues. Discover how mobile usability, creative alignment, streamlined checkout processes, and trust signals can drastically improve your conversion rates. Learn actionable tips like ensuring your landing page matches your ad, featuring relevant creatives, simplifying checkout, and using behavior data to identify leakage points. Watch to understand how to turn clicks into sales effectively.

In this episode, host Josh interviews Simon Hammer, VP of Product at Vimbly Group, about acquiring and managing e-commerce brands. Simone shares a case study from the cocktail shaker market, illustrating how focusing solely on quantitative metrics led to missed opportunities. He emphasizes the importance of qualitative customer feedback, brand storytelling, and product-market fit to build lasting brands and avoid competing only on price. The discussion highlights key lessons for e-commerce leaders: assess market potential, listen to customers, and continuously test and iterate to stay competitive.Chapters:Introduction to Simone Hammer and Background (00:00:00)Josh introduces Simone Hammer, his background, and experience in e-commerce and investment banking.Approach to Brand Acquisition and Quantitative Analysis (00:00:55)Discussion on traditional quantitative methods for acquiring brands and the limitations of focusing solely on numbers.Case Study: Cocktail Shaker Brand and Market Dynamics (00:01:38)Simone shares a case study about their cocktail shaker brand, market share, and the impact of COVID-19.Competitor Analysis and Information Memorandum (00:03:08)Simone describes obtaining a competitor's information memorandum and insights into their strategies and market position.Market Changes and Increased Competition (00:04:07)Discussion on rising freight costs, increased competition, and the challenges faced in the cocktail shaker market.Brand Building vs. KPI Focus (00:05:05)Comparison between their KPI-driven approach and the competitor's focus on brand building and storytelling.Consequences of Ignoring Qualitative Feedback (00:06:59)Simone explains the negative outcomes of neglecting qualitative customer feedback and the resulting price competition.Importance of Qualitative Customer Insights (00:07:53)Emphasis on the value of qualitative data, customer feedback, and brand building for long-term business success.Lessons Learned and Industry Trends (00:09:01)Reflection on industry trends, the necessity of qualitative insights, and the risk of competing solely on price.Host Reflection and Question on Customer Feedback (00:10:04)Josh reflects on his own business practices and asks Simone what customer feedback they missed.Specific Customer Preferences Missed (00:10:53)Simone details specific customer preferences, such as the shine of the shaker and the appeal of the stand.In-Person vs. Online Customer Insights (00:11:55)Insights gained from in-person customer interactions versus online feedback and the importance of customer development.Three Key Takeaways for E-commerce Success (00:13:43)Josh summarizes three actionable takeaways: market opportunity, listening to customers, and continuous testing.Closing Remarks and Future Follow-Up (00:16:48)Josh thanks Simone and mentions the possibility of future episodes to check on progress.Links and Mentions:Tools and Websites  Helium 10Key Takeaways  Identifying Market Opportunities: 00:13:43Listening to Customers: 00:14:47Testing and Iterating: 00:15:49Transcript:Josh 00:00:00  Today, I'm excited to introduce you to Simon Hammer. Simon is the VP of Product at Vimbly Group, a New York City based firm that scales and invests in tech enabled businesses where he has worked for over ten years. He currently runs Vimbly Group's e-commerce business unit, as well as having his hands involved in a number of Vimbly Group's eight other business units. Prior to the Vimbly Group, Simon was a healthcare investment banker at a boutique investment bank in New York City, where he focused on raising capital and mid-market mergers and acquisitions involving biotech, healthcare, technology and healthcare service companies. He has a bachelor's degree from Cornell University, and I met Simon at the Billion Dollar Seller Summit earlier this year. And Simon, I'm excited to welcome you to the podcast. Welcome.Simon 00:00:50  Thanks, Josh. Really appreciate that. Nice intro. Thanks for having me.Josh 00:00:55  As you look to acquire other brands, and I love that you kind of were an acquire or aggregator before the aggregator theme became pop became popular. So you're not on the the bandwagon there.Josh 00:01:08  You can be like, no, we were doing this long, a long time ago. You know, I think that that's really interesting, Simon. I think you've taken this approach that's actually a little bit different than I think the typical answer is, right, because I've listened to a bunch of other people that talk about acquiring businesses. And I'm looking at these specific numbers and, you know, I'm trying to draw conclusions and, you know, kind of look at 2020 and what happened during Covid and say, okay, this was an artificial bump and it's all very quantitative, right?Simon 00:01:38  All the quantitative stuff that you're talking about like looking historical, it's a given. Right. We always do that. We've always done it. And for the longest time, that's all we did. And, you know, one of our brands right now is going through a major shift in that it, for such a long time survived on three products. Basically, there's a whole, you know, there's more skews, but there's basically more Asians.Simon 00:02:02  But there's there's effectively three basins. One of those. basically a shell of itself now. And part of the reason why is because, you know, actually, if you'll divulge me for a second. So, pre-COVID and even through the first, you know, a couple years of Covid and depending on where you want to, you know, start and stop it, I guess. or, you know, where the beginning till now is, I guess. But first couple of years of it, it was doing incredibly well, right? It was something like anywhere between 25 and 35%, or it accounted for 25 to 35% of our gross margin. That gross margin, including everything from landed costs, three PL costs, FBA costs, advertising, marketing returns, all that stuff. Just not just not like overhead and, and software, things like that nature. But but gross profit. Right. And so it was a large part of our business. this one product and you know, during the beginning of Covid, I got my hands on a competitor, one of our biggest direct competitors.Simon 00:03:08  Their information memorandum, which is basically like their, this deck. it's like 50 pages of their business because they're trying to sell their business. Okay. And through like, you know, like, you know, my partner Sam, he has just a ton of connections in the entrepreneur space, a ton of connections with these brokers. And so we get a lot of deals right across a lot of different industries. and so we just happen to get our direct competitors information memorandum. Right. So this gave us everything about their business, right? We knew the numbers. We knew. we knew, who their suppliers were, right? What their strategy was, what their projections were like. You know, you name it, we knew it. And, I mean, we were like, we could look on helium ten and know that we were dominating. But then we saw the real numbers. We were, you know, we were dominant player in the market. and then all of a sudden, right, like during Covid, you start seeing freight costs go up.Simon 00:04:07  You start seeing, a lot of sellers into the space. The cocktail shaker space is kind of the space that we're playing in for one of our brands. and this is where the the set, you know, was established. and, you know, was this, you know, what's called roughly like 30% of the business. it had basically, started having rank weed, right? The ran...

Vercel's v0 iOS app is built with React Native, but it looks and feels like a fully native iOS product. In this episode of React Universe On Air, we go deep into how the v0 mobile app was built: from choosing Expo and going iOS-first, to writing native modules, fixing low-level React Native issues, and upstreaming improvements back to the ecosystem. This is a hands-on engineering conversation with Fernando Rojo, Szymon Rybczak, and Oskar kwaśniewski about real trade-offs, real constraints, and what it takes to ship a polished app under real deadlines. Chapters 00:00 Welcome to the React Universe 00:50 Meet our guests 02:42 v0 app overview 03:45 Iterating to greatness 05:07 Choosing Expo and initial tech decisions 07:55 Code sharing with v0 website 11:03 Open Source contributions 13:20 React Native Core fixes 15:40 Android version? 18:42 Modal issues we fixed 23:20 Working with React Native Core 26:16 Balancing deadlines and root cause analysis 27:23 Native Modules and custom solutions 29:16 Minimalistic UI challenges 30:44 Floating Composer concept 33:41 Feature flags and testing 36:48 WebView swiping and custom forks 45:16 Launch experience and security concerns 50:17 Final thoughts

It started with a simple idea from James Tyack: “What if we hosted a hackathon at ELC Annual?” The result was a unique experiment where 14 senior engineering leaders stepped away from strategy to build and ship functioning apps in one weekend, unlocking new insights on AI-native workflows, "vibe coding," and the future of engineering. In this episode, we deconstruct the entire hackathon operational playbook, sharing lessons on everything from “best failure awards” and async collaboration structures to structuring ideation periods for maximum business alignment. Beyond the logistics, we explore how getting hands-on helped these leaders overcome imposter syndrome and why "rolling up your sleeves" is now a prerequisite for leading effective engineering teams. Plus, James shares how he plans to evolve the hackathon format at ELC and beyond. If you've been curious about leveraging hackathons to drive innovation, expose your team to new tools, or evolve how your org builds, this episode provides the blueprint for successful implementation. ABOUT JAMES TYACKJames is an engineering manager with a passion for people, technology, and learning. He's built and led distributed, diverse teams of engineers across locations and timezones for 10 years. James believes strongly in the value of diversity and championing a sense of belonging for everyone, from day 1. He's well versed in growth strategy, chaos engineering, major incident response, and blameless practice, and culture grounded by trust and psychological safety. He leads the Growth Acquisition team at Coursera where he's proud to be part of an organization that's transforming lives through learning. Previously, James enjoyed building and leading the Growth and Integrations engineering teams at PagerDuty. This episode is brought to you by Span!Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…Go to Span.app to learn more! SHOW NOTES:The results of ELC's first-ever hackathon: 14 leaders shipping fully functional apps (2:21)The “Scrappy” beginning: Extending the invitation and early community engagement (4:50)The most surprising insights: Problem solving for “life outside of work” and micromanaging AI agents (5:42)Navigating the shifting boundaries between product, engineering, and management roles (8:43)James' personal journey: Building 5 apps in 5 hours to stay relevant and relatable (10:05)Deconstructing the Hackathon structure: The “Take-Home Assignment” approach (16:16)The Hall of Fame: Creating artifacts to recognize contribution (18:00)Iterating on the format: Pivots made for the next hackathon iteration at Coursera (18:47)The importance of a 2-week ideation period for alignment (20:59)A recap of the playbook: Seeding ideas, easy tooling, and safe deployment (22:15)The future of hackathons: Cross-functional participation beyond engineering (26:46)Rapid Fire Questions (28:15) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

#733 What if the biggest thing holding your business back isn't strategy or execution — but the identity you're operating from? In this episode, host Brien Gearin sits down with Cassie Shea, founder of The Possibility Investor, to unpack what it really means to iterate with your identity as a business owner. Cassie shares how her journey from running a $14M company at 28 to logging 3,500+ coaching hours shaped her core framework: Desire → Deserving → Decisions — starting with the deceptively hard question, “What do you want?” Together, they explore why so many entrepreneurs hit an invisible “deserve ceiling,” how proving energy can quietly drive (and drain) growth, and how constraints — like health, seasons of life, or boredom — can become the catalyst for smarter, more sustainable business evolution. Cassie also previews her free 3D Assessment and where listeners can connect with her as she launches The Possibility Investor! What we discuss with Cassie: + Identity-driven business growth + Iterating with your identity + Desire → Deserving → Decisions framework + The “deserve ceiling” + Proving vs. creating + Boredom as a signal + Constraints fuel creativity + Building beyond scarcity + Frameworks over hustle Thank you, Cassie! Follow Cassie on LinkedIn. To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Prerna Singh, CPTO at Avaaz, walks us through how AI is reshaping the way we prototype, learn and build digital products. Rather than replacing teams or skipping straight to production, she argues that AI shines when used as a “thought partner” to accelerate early‑stage experimentation. Through her own journey building a community platform on weekends, she demonstrates how tools like ChatGPT, Lovable (and later Claude / Replet) and Figma AI enabled her to move from blank page to clickable prototype in hours — while retaining the human insight, iteration and context that underpin good product work. The conversation reframes common assumptions about “fast‑AI = bypass human work,” and instead proposes a balanced adoption path: start in “sandbox mode,” learn and play — before graduating to “architect mode” where the real value to business begins.Chapters00:00 – Introduction & AI's impact on product cycles01:43 – Meet Prerna Singh: her background in product and community building03:50 – The community problem: logistics over connection05:11 – Turning to AI to solve her own problem06:50 – What AI can't do: user insight and human judgment08:08 – From waterfall to short-cycle prototyping10:54 – Using ChatGPT as a Socratic thought partner13:07 – Working solo vs team: where AI fits17:17 – From prompt to prototype: using Lovable19:06 – Iterating with Figma AI and other tools23:00 – Real feedback from real users25:02 – Creating a feedback knowledge base with AI26:16 – AI vs design sprints: same principles, new toolsOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

In this episode, I sit down with Rob Jentsch, an education leader and consultant, to discuss his mission of providing remarkable education to more students globally. We dive deep into his journey from volunteer work in El Salvador to becoming a high school teacher, and then into management consulting, all driven by a desire to improve educational outcomes.Rob shares his current business model, which balances high-ticket consulting with a passion for serving smaller, impactful organizations. We explore strategies for him to scale his impact, build an online presence, productize his services, and optimize his time through a powerful "flywheel" approach, all while maintaining his commitment to his family and personal well-being. Viewers will learn about user-centered design in curriculum, effective strategies for growing an online audience, and how to balance purpose-driven work with business growth.Timestamps:00:00 Introduction02:10 Rob's transformational experience04:09 Obsession with high-quality education access12:40 Rob's business journey and desire for change14:40 Shifting from workaholism to more time with family16:01 Current business revenue and growth26:40 Productizing services to scale impact29:27 Standardizing offers and cohort-based learning32:45 The challenge of onboarding superintendents36:58 Setting boundaries for optimal impact41:40 The power of high standards and belief44:10 Fueling content from client insights46:12 Choosing LinkedIn as the primary platform54:15 Creating a feedback loop for content56:29 The art of reposting successful content58:30 Promotion strategies: comments, partners, email lists1:01:05 The virtuous cycle of the flywheel1:03:00 Iterating and measuring the flywheel1:05:00 Key takeaways and future plans1:07:05 The power of sequential skill-buildingIf you enjoyed this episode, please like and subscribe, share it with your friends, and leave a review. I read every single one.Learn more about the podcast: https://nathanbarry.com/showFollow Nathan:Instagram: https://www.instagram.com/nathanbarryLinkedIn: https://www.linkedin.com/in/nathanbarryX: https://twitter.com/nathanbarryYouTube: https://www.youtube.com/@thenathanbarryshowWebsite: https://nathanbarry.comKit: https://kit.comFollow Rob:LinkedIn: https://www.linkedin.com/in/rob-jentschWebsite: https://adgneducation.orgFeatured in this episode:Kit: https://kit.comGrowthTools: http://growthtools.comADGN Education: https://adgneducation.org

This week on Swimming with Allocators, Apurva Mehta, Co-Founder and Managing Partner at Summit Peak Investments, joins Earnest and Alexa to share his unique journey from institutional portfolio management to building a venture fund of funds. The discussion covers building strong networks and communities for allocators and GPs, adapting to the evolving and increasingly crowded venture landscape, and maintaining discipline in fund size and valuations. Key takeaways include the importance of deep relationships and responsiveness, rigorous diligence in a noisy market, and the advantages of staying nimble to deliver consistent returns and foster long-term partnerships. Also, don't miss Shane Goudey of Sidley as he discusses venture funds practice, building a robust, full-service legal team for venture capital clients and the current surge in fund formation and liquidity as the venture market heats up at the end of 2025. Highlights from this week's conversation include: The Journey of Apurva Mehta in Allocations and Investing (0:32) How Apurva Built A Network-First Allocator Community (3:54) The Inception of Summit Peak and Entrepreneurial Spirit (7:46) The Importance of Being the Central Node in Venture (11:09) Identifying New GPs and Evolving Venture Networks (15:13) On The Challenges of Filtering and Iterating for Success (19:20) The Legal and Fund Formation Landscape with Shane Goudey (22:57) Fund Manager Trends and What Surprises Apurva (27:53) Concerns About Market Valuations and Fund Size Discipline (30:39) Impact of Market Dynamics on Growth Deal Approaches (34:18) Being Proactive Versus Passive in Co-Investing (38:28) Trends and Predictions for the Next 10 Years in Allocations (41:49) Summit Peak's Vision For Success and Staying Nimble (44:57) Summit Peak Investments is a venture-focused investment platform backing the next generation of exceptional managers. With a dual strategy of investing in top-performing pre-seed and seed-stage funds alongside targeted Series B+ co-investments, Summit Peak partners with GPs and founders to generate long-term, outsized returns. Learn more at summitpeakinv.com.  Sidley Austin LLP is a premier global law firm with a dedicated Venture Funds practice, advising top venture capital firms, institutional investors, and private equity sponsors on fund formation, investment structuring, and regulatory compliance. With deep expertise across private markets, Sidley provides strategic legal counsel to help funds scale effectively. Learn more at sidley.com. Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

Summary In this episode of the Winning Hand podcast, hosts Boomguy and LazyTitan discuss their experiences at the recent MCDC convention, focusing on deck building strategies, gameplay experiences, and insights into the Marvel Champions card game. They explore the importance of originality in deck building, share tips for creating effective combos, and reflect on the multiplayer scenarios and PVP tournament held at the event. The conversation emphasizes the joy of playing the game and the value of experimenting with different strategies. They share insights on deck building, highlight memorable moments from the con, and emphasize the importance of community engagement in the Marvel Champions world. Content Creator Recommendation: https://www.youtube.com/@Str0ngstyleVersus Decks: Bad Mothertucker - https://marvelcdb.com/decklist/view/55502/bad-mothertucker-1.0 Suicide Mission Leader - https://marvelcdb.com/decklist/view/55121/suicide-mission-leader-1.0 Say Hello to My Little Friend - https://marvelcdb.com/decklist/view/55571/say-hello-to-my-little-friend-1.0 The Eightfold Path - https://marvelcdb.com/deck/view/1059978 Wow! We solved minion collecting! YIPPEEEE! - https://marvelcdb.com/decklist/view/55733/wow-we-solved-minion-collecting-yippeeee-1.0 Chapters 00:00 Introduction to the Winning Hand Podcast 00:19 Recap of MCDC Convention Experience 02:36 Content Creator Spotlight: Strong Style Versus 05:35 Listener Email: Deck Building Insights 11:01 Deck Building Strategies and Perspectives 17:00 The Importance of Consistency in Decks 22:47 Iterating and Improving Decks 28:16 Final Thoughts on Deck Building and Gameplay 31:25 Deck Building Insights 33:35 MCDC Event Overview 34:54 Custom Campaign Scenarios 38:22 Massive Multiplayer Loki Event 42:40 PVP Tournament Experience 52:20 Custom Content Day 56:57 Custom Content and Community Engagement 58:12 Exclusive Cards and Trading Experiences 01:00:19 Event Venue and Atmosphere 01:01:53 Con Highlights and Community Vibes 01:03:47 Collaboration with Other Conventions 01:04:53 Guest Appearances and Content Creators 01:05:16 Future Plans and Excitement 01:07:01 Deck Showcase: Deadpool Leadership 01:14:06 Deck Showcase: War Machine Aggression 01:19:36 Deck Showcase: Drax Aggression 01:24:29 Deck Showcase: Tigra and Closing Thoughts

Most companies still hire salespeople wrong in 2025.They rely on resumes, gut feeling, and vague interviews instead of testing real skills. In this episode, Raul and Toni explain why that approach fails and how to replace it with a system that actually works.They break down a practical process to identify what you really need, define the skills that matter, and test candidates in realistic scenarios. No fluff, no guesswork, just a repeatable way to hire people who can actually sell.This episode is brought to you by ZoomInfo, the Go-To-Market Intelligence Platform. ZoomInfo gives you high-quality B2B data and sales intelligence on in-market buyers across companies of all sizes, powered by AI-driven automation with integrated outreach tools to help your GTM teams build pipeline and close deals faster. Check them out at zoominfo.com/revenue-formula Want to work with us? Learn more: revformula.io(00:00) - Introduction (01:41) - Hiring is Broken (07:09) - Basics of Effective Hiring (12:35) - The Myth of the Perfect Candidate (14:20) - Understand your Needs and Context (16:56) - Time Pressure in Hiring (22:02) - The Three Step Solution (29:10) - Assessing Candidates: Interpretation (30:16) - Assessing Candidates: Talking (31:21) - Assessing Candidates: Showing (32:53) - Assessing Candidates: Doing (36:53) - Iterating on the Process (39:57) - Roleplaying in Sales Hiring (43:33) - Hiring Sales Leaders (46:00) - Final Thoughts and Takeaways

Jonathan DiVincenzo, co-founder and CEO of Impart Security, joins the show to unpack one of the fastest growing risks in tech today: how AI is reshaping the attack surface. From prompt injections to invisible character exploits hidden inside emojis, JD explains why security leaders can't afford to treat AI as “just another tool.” If you're an engineering or security leader navigating AI adoption, this conversation breaks down what's hype, what's real, and where the biggest blind spots lie.Key Takeaways• Attackers are now using LLMs to outpace traditional defenses, turning old threats like SQL injection into live problems again• The attack surface is “iterating,” with new vectors like emoji-based smuggling exposing unseen vulnerabilities• Frameworks have not caught up. While OWASP has listed LLM threats, practical solutions are still undefined• The biggest divide in AI coding is between senior engineers who can validate outputs and junior developers who may lack that context• Security tools must evolve quickly, but rollout cannot create performance hits or damage business systemsTimestamped Highlights01:44 Why runtime security has always mattered and why APIs were not enough04:00 How attackers use LLMs to regenerate and adapt attacks in real time06:59 Proof of concept vs. security and why both must be treated as first priorities09:14 The rise of “emoji smuggling” and why hidden characters create a Trojan horse effect13:24 Iterating attack surfaces and why patches are no longer enough in the AI era20:29 Is AI really writing production code and what risks does that createA thought worth holding onto“AI is great, but the bad actors can use AI too, and they are.”Call to ActionIf this episode gave you new perspective on AI security, share it with a colleague who needs to hear it. Follow the show for more conversations with the leaders shaping the future of tech.

On this episode of The YM Show, I sit down with my good buddy Michael Kleinfeld, a top performer in B2B sales. We get super practical about how he actually wins contracts—from the first cold call, to follow-ups, to proposals—and how you can apply the same frameworks in any industry.If you're in sales (or you're a founder doing sales yourself), this episode is a cheat-sheet: the ins & outs, do's & don'ts, misconceptions, and yes—the occasional “scheme” to watch for—so you can close more cleanly and build long-term relationships.

Eddie Yoon, Sr Director, Paid Media at NP Digital, shows how CMOs can spin up a full creative campaign in ~30 minutes using AI. He breaks down a rapid “three-tab” workflow—Meta Ad Library for competitive research, GPT for strategy and prompts, and an image generator (Reeve) for instant mood boards—then extends it into testing (Trial Reels, TikTok hooks), product R&D, and agentic pipelines. We also riff on why the next decade could normalize solo billionaire founders, how Netflix foreshadowed AI-driven content, and what real-time, stylized, monetizable media will look like.Timestamps1:07 Meet Eddie Yoon—NP Digital, paid social × creative × AI background.1:49 “AI is redefining growth”: blistering company speed and scale.2:16 The solo-founder era & agentic executive teams.4:39 Enterprise example: HubSpot's leadership going all-in on AI.5:29 Founder example: Tyler at Beehive—shipping fast by listening + acting.6:30 Design & media: Netflix's early AI play; House of Cards data story.11:29 The 30-minute campaign challenge—Eddie's live plan.12:53 The three tabs: Meta Ad Library → GPT prompts → Reeve mockups.14:37 Copy/paste every active ad into GPT; ask for strategy synthesis.16:06 Five “board-level” ideas; forcing a single high-acceptance pitch.17:56 Image prompt for “Comfort 2.0” (eco-luxury, performance lifestyle).20:27 Prompting hack: “200+ IQ” to push for originality (avoid clichés).21:06 Locking on Comfort 2.0—“performance tech meets everyday life.”23:06 Iterating the mood board; feeding outputs back into GPT.23:30 If the client has the shoe already: do it all in AI (no photoshoot).24:39 Rapid tests: ethnicity, angle, color; Instagram Trial Reels.26:03 Beyond ads: full-funnel → product design & R&D with agents.27:24 100-page competitor deep dives from public signals.28:26 Scoring system (cutoff 85; 95+ are “winners”) to prioritize assets.30:13 Spinning GPT outputs into 10 TikTok hooks for creators/founders.31:32 Domain-tuned agents that deliver 90%-ready work.33:13 What's next: automatic video analysis and creative fixes.34:13 Next 12 months: IP-driven brands, real-time stylized video, avatars.35:43 Meta: capturing AI audio; partner via your agent in the future.36:12 Why solo $1B is realistic (and $100M solos even more so).Tools & Technologies Mentioned (with quick notes)Meta Ad Library — Public index of active FB/IG ads; great for competitive creative research.GPT — Used to analyze competitor ads, generate board-level strategies, image prompts, TikTok hooks, and run scoring frameworks.Reeve — Static image generator (Midjourney-like) for fast mood boards and spec creative.Midjourney — Alternative image generation tool for photorealistic concepts.VO3 — Motion/video generation tool referenced for animated concepts.Instagram Trial Reels — Organic test surface to gauge hooks/creatives with cold audiences before spend.TikTok — Distribution + hook testing via short scripts for creators/founders.Semrush — Search/keyword intel to complement social competitive analysis.SocialPeta — Creative/spend intelligence (legacy use; less relied upon now).AI Avatars & Agentic Flows — Persona-based creators and multi-agent pipelines to speed research, ideation, testing, and post-mortems.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

I reflect on my recent interview with Craig Hewitt, founder of Castos. I dive into the trade-offs between bootstrapping and raising venture capital. I share my thoughts on how AI is changing entrepreneurship and jobs. I talk about my own experiences with product pivots and tough market challenges. I explain how I use AI to boost efficiency in my startup journey. Building products is easier than ever, but getting distribution right is still the hardest part. Twitter: https://x.com/wbetiagoLinkedin: https://www.linkedin.com/in/tiago-ferreira-48562095/Timestamps by PodsqueezeIntroduction and Recap of Previous Episode (00:00:02)Raising Funds vs. Bootstrapping (00:01:20)Valuation, Market Size, and Risks of Raising (00:03:59)Analyzing Competitors and Market Potential (00:09:13)Calculating Market Size and Revenue Projections (00:10:21)How Much to Raise and Lessons from Greg Hewett (00:11:32)Benefits of Not Raising and Work-Life Balance (00:12:54)AI's Impact on Productivity and Hiring (00:12:54)Long-Term Thinking and Consistency (00:13:59)AI's Negative Impact on Jobs and the Economy (00:16:25)Building Resilient Businesses and Diversification (00:18:58)Turning a Landing Page into a Revenue Stream (00:20:01)Iterating the Business Model and Monetization (00:21:08)Distribution as the Key Bottleneck (00:22:15)Leveraging Distribution Channels for Growth (00:23:20)Conclusion and Call to Action (00:24:39)

Iterating has become the business norm—but project teams are struggling to keep up with the relentless pace of change. How can change management professionals and project leaders help? We discuss this with: Sharon Casey, director, change management, Adobe, Austin, Texas, USA: Casey discusses how the persistent pace of change is affecting project teams and contributes to change fatigue. She also explains how change practitioners can support project professionals and teams going through change—sharing how her team's “service tiers” offer assistance—and ways to ensure project teams and senior stakeholders buy into change initiatives. Plus, how artificial intelligence is helping leaders at Adobe learn to better manage change.  Senkodi Murugesan, CPMAI, PMP, previously a project manager at Howden, a Chart Industries company, Chennai, India: Murugesan discusses how change has evolved through his career, how to find opportunities amid sudden change on a project, and he shares an example of how he led teams through a major tech change. He also explains why an agile mindset is crucial when it comes to leading project teams through change.Key themes[02:08] How the increasing pace of change affects teams[04:02] Building buy-in for change—and avoiding burnout[09:16] How Adobe change practitioners support teams during change[11:18] Using AI to assist project leaders during change initiatives [16:15] A project professional's perspective on how managing changed has evolved[18:51] Helping teams through major tech changes [21:38] An agile mindset: A must-have for project leaders handling change

In this episode, we sit down with the trio behind Future Suit Games to explore how passion, persistence, and teamwork fuel their journey of building Daughter of the Rift. From engineering and art to narrative design, they share how iteration has shaped their game into something truly special. Get an inside look at the creative process of blending story and strategy into an unforgettable indie experience.Learn more about Future Suit GamesLearn more about usJoin the next episode of the Indie Game Lunch Hour LIVE every Wednesday at 12pm EST on our Discord channel to answer your own burning questions and be immortalized in the recordings.

Main Image Monthly For Amazon Sellers: Winners Innovate, Losers Imitate: Which Side Are You On? Episode Overview In this episode, we explore the impressive results achieved through an innovative approach to visual optimization for the StudyKey brand, specifically targeting language flash cards. Guest Nafiseh Razavi learns insights from the team on how effective main image strategies can lead to significant increases in sales, conversion rates, and brand differentiation. This episode explores visual optimization strategies for increasing sales and conversion rates, customer feedback-driven product enhancements with practical insights for immediate implementation. Key Takeaways A well-executed main image can significantly increase click-through and conversion rates, as evidenced by data showing a $20,000/month revenue increase for optimized products. Continuous testing and adaptation are crucial for maintaining and improving product performance on platforms like Amazon. Chapter Markers Time Chapter Description 00:00 Welcome and Introductions Danny McMillan introduces the episode, discussing the importance of innovation in challenging market conditions and introduces guest Nafiseh Razavi. 04:00 Optimization Strategies for Study Key Sim Mahon provides an overview of the optimization work done for the language flash card product, mentioning prior successes and highlighting key performance metrics. 14:50 Concept Testing and Feedback Analysis The team discusses qualitative feedback from customers regarding existing and proposed images, focusing on features like key rings and audio pronunciation. 21:00 Results from Concept Testing The first round of concept testing reveals preferences from shoppers, leading to adjustments in the main image design. 28:00 Iterating on Winning Concepts Continued adjustments based on customer feedback and further testing reveals which images resonate best with the target audience. 54:30 Final Thoughts and Future Strategies Nafiseh discusses the importance of continuous testing, even for best-selling products, and expresses excitement about upcoming iterations. Notable Quotes "Moral of the story, don't imitate, innovate." Resources Mentioned

During the workshop, we'll walk through:1️⃣ Rethinking consistency so our expectations fits real life2️⃣ Starting strong with simple anchor routines that set the tone3️⃣ Iterating weekly without guilt or burnoutNews flash: You're not going to nail the perfect schedule the first day or even the first week. But you can make consistent, steady progress and love your homeschool rhythms.Looking for homeschool inspiration? This video offers homeschool tips to help you refresh your homeschool routine and create a more organized homeschool day in the life. Get homeschool mom encouragement and learn how to implement a simple routine that brings more joy to your homeschooling!Mystie Winckler encourages moms to organize their attitudes and get traction at home so we are no longer overwhelmed or frustrated with homemaking. We are a community of Christian women striving to be competent, cheerful homemakers so we are fruitful, faithful, and hospitable. Subscribe for regular encouragement!

Iteration is where breakthroughs happen. Instead of expecting yourself to nail it right away, what if you gave yourself permission to test, learn, and improve along the way? In this episode, I share how iteration creates momentum, builds confidence, and ultimately leads to results that last. Want to be in the room where it's all happening? The Vortex is open—come build from clarity, not chaos. https://www.itsambersmith.com/vortex Learn more about my private coaching experience where we talk about your unique sales process, your golden offer, and your abundance mindset: https://www.itsambersmith.com/coaching If you're interested in working together, book a call HERE. Can't wait to chat! The Lightning Alignment Journal: https://a.co/d/iiBnzAJ Gain access to my new book Quiet Wealth at: https://a.co/d/aCoGl8N

On episode 704 of the 40 Plus Fitness podcast, Coach Allan sits down with Dr. Kyra Bobinet, author of Unstoppable Brain: The New Neuroscience That Frees Us from Failure, Eases Our Stress, and Creates Lasting Change. Dr. Bobinet brings nearly three decades of expertise in neuroscience and behavior change, and together they explore the concept of "failure disease"—that sense of being stuck or losing motivation, especially when it comes to health and fitness over 40. In their conversation, Dr. Bobinet reveals the groundbreaking science behind what really drives our habits and why so many of us feel like we're destined to fail—spoiler alert: it's not just a lack of willpower! You'll learn about the role of the brain's “motivation kill switch,” the habenula, and get practical tools for working with your brain instead of against it. Whether you struggle with all-or-nothing thinking, motivation loss, or the weight of past failures, this episode is packed with actionable strategies to help you break the cycle and create lasting change. Time Stamps: 05:35 Learned Helplessness Misunderstood 06:49 "Learned Helplessness in Elephants" 12:30 Addiction Swap Ineffectiveness 15:40 Status and Ego on the Leaderboard 18:07 "SMART Goals and Workplace Deception" 21:07 Marginal Gains in Elite Sports 24:05 "Rethinking Failure in Goal Setting" 28:32 Understanding Brain Patterns and Negativity 33:07 Adapting and Iterating with AI 35:33 Idea Generation & Iteration Tool 38:11 Introducing Change Through Friction & Spice 41:23 Keys to Iterative Success https://drkhirabobinet.com

Andy Raether is a prolific sport climber, boulderer, and developer based in Las Vegas, NV. He also owns a climbing hold company and created the Woods Board. We talked about his intro to climbing and making holds, bringing routes and crags to life, sending his hardest boulder (Midlife Crisis V14) at 40 years old, how he trains on The Woods Board, how to master terrible holds, and much more.Rúngne (Chalk & Apparel)rungne.info/nuggetUse code “NUGGET” for 10% off storewide, and use code “SHIPPINGNUGGETS” for free shipping.Chilipad (Don't Lose Sleep this Summer)Get 20% off any Chilipad sleep systemMad Rock (Shoes & Crash Pads)madrock.comUse code “NUGGET10” at checkout for 10% off your next order.NADS (Organic Cotton Underwear)Use code STEVEN for 15% offThe GRINDS Program (Free Training PDF)thenuggetclimbing.comThe NUG (My Portable Hangboard)frictitiousclimbing.com/products/the-nugBecome a Patron:patreon.com/thenuggetclimbingShow Notes:  thenuggetclimbing.com/episodes/andy-raetherNuggets:(00:00:00) – Intro(00:01:49) – Climbing Magazine ad(00:03:52) – Andy's origin story(00:09:44) – Legendary holds(00:13:49) – Making climbing holds(00:16:49) – Early rock climbing & development(00:23:54) – Menagerie(00:25:49) – Meeting his wife(00:28:33) – Moving to Vegas(00:32:07) – Dad Raether(00:39:00) – Vegas bolting potential(00:45:06) – Bringing crags to life(01:05:53) – Bouldering development(01:08:34) – Midlife Crisis V14(01:35:43) – Stronger at 40 than 20(01:40:15) – Dad Bod(01:45:04) – Grades(01:51:50) – Mithril(01:54:04) – James Litz(01:58:51) – The Woods Board(02:06:14) – The mentality of board climbing(02:10:58) – Monos(02:14:56) – How Andy trains on the Woods Board(02:27:30) – Where to climb on the Woods Board(02:29:08) – Iterating moves (“hangboard” boulder problems)(02:37:24) – Mirroring each try(02:41:57) – The Spot Battle(02:44:00) – Andy's garage(02:46:02) – Gyms in Vegas(02:54:10) – Routesetter Unions(03:07:06) – Wrap up & EXTRA teaser

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Send us a textThe internet loves to talk about that magical “six figure business” milestone, but what if hitting that revenue number doesn't actually change your life the way you think it will? What if the real transformation happens when you stop chasing someone else's definition of success and start building systems that serve your actual goals—even when that means making decisions that feel uncomfortable or unconventional? In part two of our conversation, Will Donovan pulls back the curtain on what six figures really means as a business owner, how he navigates the complex world of copyright when creating fantasy-inspired work, and why strategic paid advertising became a tool only after he had proven organic growth. Turns out, sometimes the most sustainable path forward might require letting go of the romantic notions of what it means to be a "real" maker and embracing the frameworks required to build the business you need that actually supports your life. In this episode: Will's work @donovanpotteryFull Show Notes & Resources can be found at makersplaybook.com/podcast-----Find Community member Alisha @alishahagenartInterested in joining Alisha inside of The Community? Learn more about the perks of membership and sign up at: makersplaybook.com/community-----Love this podcast? Support an episode! Click here to learn more. Follow The Maker's Playbook on Instagram @themakersplaybookHave questions about the show or want to say Hi? Email us at: podcast (at) makers-playbook (dot) com

Send us a textAs makers, we often start with a vision of success that's more fantasy than strategic roadmap—believing that if we just work harder at making our beautiful pieces, it will somehow lead to a sustainable business. But what if the path to actually thriving as a creative is in repeatedly narrowing your focus, rather than doing more and more? What if doing less is actually what allows you to find that magical venn diagram intersection of what you love and a specific audience who desperately wants it?Will Donovan's journey from nearly abandoning ceramics to building a six-figure fantasy-themed pottery business reveals how iterating toward a precise target audience—rather than trying to please everyone—can transform both your creative satisfaction and your bottom line. But don't be fooled! The need to evolve your definition of success, even when it means letting go of traditional expectations (or some of the hands-on making) is no easy process. As always, it all comes down to your unique definition of not only what success looks like, but also what type of life you actually want to live.In this episode: Will's work @donovanpottery-----Find Community member Alisha @alishahagenartInterested in joining Alisha inside of The Community? Learn more about the perks of membership and sign up at: makersplaybook.com/community-----Love this podcast? Support an episode! Click here to learn more. Follow The Maker's Playbook on Instagram @themakersplaybookHave questions about the show or want to say Hi? Email us at: podcast (at) makers-playbook (dot) com

In Episode 307, 5 Reasons People with ADHD Lose Things + How To Stop,  You Will Discover: Why ADHD brains frequently misplace items and learn science-backed strategies to prevent it The crucial transition moments when items most often go missing to stop losing important things How to transform frustrating lost-item searches into insight for effective systems that actually work for your brain Links From The Podcast Learn more about private coaching here Learn more about We're Busy Being Awesome here Get the top 10 tips to work with your ADHD brain (free ebook!) Discover my favorite ADHD resources Get the I'm Busy Being Awesome Planning System Get the I'm Busy Being Awesome Podcast Roadmap Take my free course, ADHD Routine Revamp Episode 296: How To Better Use Reminders & Notifications with ADHD Episode 297: How To Use Habit Stacking & Habit Pairing This post contains affiliate links, meaning I may earn a small commission if you make a purchase through my links, at no extra cost to you. Disclosure info here. Leave IBBA A Rating & Review! If you enjoy the podcast, would you be a rockstar and leave a review? Doing so helps others find the show and spreads these tools to even more people. Go to Apple Podcasts Click on the I'm Busy Being Awesome podcast Scroll down to the bottom of the page, where you see the reviews. Simply tap five stars; that's it! Bonus points if you're willing to leave a few sentences sharing what you enjoy about the podcast or a key takeaway from the episode you just heard. Thanks, friend! Chapter Outline 00:00 Introduction: ADHD & Losing Things 02:14 Emotional Impact of Losing Things 06:29 Understanding the ADHD Brain 14:12 Practical Tips and Strategies to Prevent Losing Things 22:01 Iterating and Adapting Systems 25:13 Conclusion and Next Steps