Podcasts about Proprietary

In this post-Christmas edition of Talking Real Money, Don McDonald and Tom Cock dismantle one of the most seductive myths in personal finance: the promise of high returns, no risk, and tax-free income. Using the lawsuit filed by Kyle Busch against Pacific Life as a case study, they expose the dark mechanics of indexed universal life insurance—hidden commissions, opaque costs, fabricated indexes, and returns that quietly disappoint. The episode then pivots to listener questions on diversification mistakes, Roth vs. traditional 401(k)s, late-career pivots into financial advice, ETF selection for retirees, and why doing less with your portfolio almost always beats doing more. 0:04 Post-Christmas welcome, Kyle Busch jokes, and why rich people get fleeced too 1:18 Indexed Universal Life explained (and why it's not an investment) 1:45 The “bank on yourself” fantasy and why it never dies 2:27 $10.5 million in premiums and promises of $800K tax-free income 3:20 Why IULs avoid SEC and FINRA scrutiny entirely 4:21 The sixth premium notice that blew up the deal 4:41 How IULs implode if you stop paying—and why everything can vanish 5:52 “Tax-free income, high returns, no risk” exposed as marketing fiction 6:01 Hidden commissions, alleged 35% payouts, and zero disclosure 7:37 Proprietary indexes designed to benefit insurers, not investors 8:50 Internal Pacific Life doc: “Don't call yourself a financial planner” 9:57 Why consumers can't see costs, commissions, or real returns 11:37 Real-world IUL returns: roughly 3–5% annually 12:23 Why even Kyle Busch doesn't actually need life insurance 13:44 Caveat emptor—and why “Life” in the firm name should trigger alarms 14:03 Listener portfolio question: 60/15/25 isn't diversified 14:53 The S&P 500 isn't “the market” (and seven stocks prove it) 15:54 Simple global solutions vs. portfolio over-engineering 17:11 Podcast tech humor and March seminar tease 17:22 Listener praise—and teaching people how to find podcasts 18:11 2026 seminar date confirmed: March 7 19:23 Career pivot at 53: CFP vs. AFC vs. Series 65 22:02 Why fiduciary firms are hiring—and sales shops are traps 23:22 ETF selection for retirees: growth, risk, and tax efficiency 24:27 Why Morningstar confuses more than it helps 25:07 Dimensional, Avantis, and keeping portfolios simple 26:20 Final thoughts, free fiduciary consults, and year-end wrap Learn more about your ad choices. Visit megaphone.fm/adchoices

In this conversation, automation specialist Danny Monzon discusses the booming field of automation, particularly in the context of real estate. He shares his journey into the automation space, the scope of automation technologies, and the advancements in chat and voice automation. Danny highlights the various use cases for real estate investors, emphasizing the importance of compliance and the potential for AI to enhance operational efficiency. He concludes with practical advice for leveraging AI to identify areas for improvement in business processes.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Get My Brand Masterlist ⁠https://drchristiangonzalez.com/best-brands-form-2-2/ Get Probiotics Guide https://drchristiangonzalez.com/probiotic-pdf-request-form/ Episode Description You trust the probiotic label that says "clinically studied strains" and "supports gut health." But a shocking new investigation reveals most brands can't prove it. Dr. Christian Gonzalez reached out to 56 of the biggest probiotic companies—including Seed, VSL#3, Garden of Life, Ritual, and Thorne—with one simple request: show proof your strains survive stomach acid, maintain potency through expiration, and are tested for heavy metals, yeast, and mold contamination through Certificates of Analysis (COAs). The results? Fifty-three brands disappeared, dodged questions, or flat-out refused to respond. Only THREE companies could stand behind their claims with real data. This isn't about being picky—it's about protecting your gut microbiome, immune system, and mental health from paying premium prices for mystery powders. When you consume contaminated or ineffective probiotics daily, you're wasting money on dead bacteria that never colonize your gut—or worse, introducing toxins that worsen bloating, immune stress, and digestive dysfunction. The hidden problems lurking in popular probiotic supplements: • Dead on arrival strains that can't survive stomach acid or bile—rendering them completely useless before reaching your intestines • CFU deception: potency guaranteed only at manufacturing, not expiration—meaning you're getting a fraction of what's promised • Heavy metal contamination including lead, arsenic, and cadmium that accumulate in your system and disrupt gut healing • Mold, yeast, and bacterial contamination from compromised sourcing and manufacturing that can trigger inflammation and immune reactions • Unverified strain claims with zero genetic testing to prove what's actually in the capsule matches the label • Proprietary blends designed to hide inferior ingredients and avoid accountability for specific strain efficacy In this episode, Dr. Christian Gonzalez exposes the 2025 Probiotic Purity Audit and reveals: • The full list of 56 brands tested—and which major names refused to respond or failed safety and efficacy standards • The ONLY 3 probiotic brands that passed with radical transparency, clean COAs, survivability data, and verified potency at expiration • The $70+ billion marketing manipulation behind "clinically studied" and "gut health support" claims that mean nothing without third-party verification • Strain specificity: why this is the only metric that matters for true gut colonization and therapeutic benefit • How contaminated probiotics actively harm your microbiome, worsen digestive symptoms, and waste your money on expensive filler • The gut-brain axis disruption, immune dysfunction, and inflammatory cascade triggered by low-quality probiotic supplementation This episode goes beyond gut health—it's about understanding that your microbiome controls everything from mood and immunity to hormone balance and disease prevention. It's about taking back control of what colonizes your body every single day, and demanding transparency from an industry built on marketing hype, not real science. The probiotic industry doesn't want you asking these questions. But your gut health depends on it. Timestamps: 0:00 - Intro 1:15 - Why Most Probiotics Don't Actually Work 2:42 - CFU Numbers: The Marketing Trick Companies Use 3:33 - What Happened When I Contacted 56 Brands 5:16 - The Testing Standards Every Probiotic Should Meet 6:55 - Companies That Didn't Make the Cut 8:55 - The Strain Specificity Problem Explained 10:28 - Hidden Contamination Risks in Probiotics 12:24 - Final Results & Download the Master List

Yogev Debbi and Prof Avi Schroeder (Technion Israel Institute of Technology), co-founded Mana bio along with Dr. Kira Radinsky and Roy Nevo. They are leveraging data, machine learning and high throughput screening to design novel Lipid NanoParticles for targeted extrahepatic delivery of nucleic acid therapeutics and vaccines. Lipid nanoparticles are microscopic fatty bubbles that deliver genetic medicines into your cells—think of them as the FedEx trucks of molecular biology. Remember the mRNA vaccines that saved millions during COVID? They used lipid nano particles as the delivery vehicle.. The little secret behind those vaccines is that we got lucky. Those lipid nanoparticles worked beautifully for the liver and immune system. But if you try to deliver RNA to your brain, your lungs, or a tumor, those would be a massive failure! Scientists are still running thousands of experiments hoping to stumble onto the right formulation. This actually was my postdoc work as well, which makes this episode very special. I always wished there was a better way to design these delivery vehicles—and that's exactly what today's guests have built with AI." We talk about how they founded and currently building Mana Bio- a big part around how biologists and chemists can interact with technologists, especially data and AI geeks to build something important. Their story provides a great framework for scientists and tech folks to work together. Shownotes: https://www.mana.bio/ How Avi got started using data/AI to design LNPs Optimizing LNP formulations targeting different organs Working with Bob Langer and Dan Anderson @MIT Yogev transitioning to gene editing Defining the problem & cross disciplinary conversations and projects Language that helps interactions between scientists and software/AI folks Deepdive into the platform- building data sets Data scraping, validation, improvisation, new data generation (both positive and negative data) Cleaning data and normalization Work in the wet lab: 'I trust my colleagues and believe data can be replicated" Data moats: Proprietary data vs public data Daily routine in the lab and interactions with the data/AI team Cross Functional dynamics Scientists trying to save money vs optimizing for more valuable time Lab hypothesis predictions vs AI predictions: competitive spirit Factoring in errors by the machines and humans Business model: Building customized solutions for drug delivery Potentially becoming a pharma company Regulatory affairs Fears that keep them up Dynamics of a diverse founding team: Roy Nevo and Dr. Kira Radinsky (the other two co founders) Message to academia: "Publish more data- including failures. This will accelerate science" Omri Drory, Kira Radinsky https://www.youtube.com/watch?v=y5hX3vq3iNk

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

                                                                                                                                                Bruno In this episode, Rob and Scott answer a question, can a $40 (actually about $70) bottle of wine be superior to wines costing 2, even 3, dare we say 4 times it's price?  Possibly, however, that $40 bottle of wine isn't on this show, instead there is a wine from a "wine company" (or something, we don't know what they are) that claims their wines are, namely Bruno and their Alexander Valley Proprietary Blend.  God help us, here on The Wine Vault.

Most people say they want to pass the PE Exam, but saying ≠ doing. This episode with Hunter McCabe gives you a perspective on what it really takes to pass — and why it's worth it.

#SalesforcePartner Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform. Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives.Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service.Key Topics Covered:- AI Agent Implementation - How Smarsh deployed Agentforce for customer service automation- Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions- Financial Services Compliance - Building AI models for market manipulation, fraud detection, and surveillance- Data Governance - Critical frameworks for deploying AI agents in regulated industries- Personalization Strategy - Why naming the agent "Archie" dramatically increased adoption- Future of Work - From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models - When to use general purpose vs specialized compliance AI models- Customer Experience - Balancing automation with trust in financial servicesEpisode Timestamps:00:00 - Introduction to Rohit Khanna and Smarsh02:44 - What is Smarsh? Compliance technology explained04:13 - Building AI from the inside out: Proprietary vs partnered models07:33 - Agentforce implementation journey and challenges12:26 - Results: 56% deflection rate and productivity gains15:25 - The power of personalization: Why "Archie" matters18:21 - Trust and data governance in regulated industries22:11 - Data governance layers and policy management25:49 - Human-in-the-loop vs agent-in-the-loop29:10 - Upskilling teams for the AI-powered future32:11 - Intelligent agents for financial crime detectionAbout Rohit Khanna:Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US.About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance.Resources Mentioned:- Salesforce Agentforce- Salesforce Agentforce for Service- Digital Reasoning (acquired by Smarsh)---Book Enterprise Training — [https://www.upscaile.com/](https://www.upscaile.com/)Subscribe to our free newsletter — [https://www.theaireport.ai/subscribe-theaireport-youtube](https://www.theaireport.ai/subscribe-theaireport-youtube)---What's your experience with AI agents in customer service? #AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh

Send a message/question here!https://ovr40.co/chat to set up a time to chat about your goals and challenges and coaching.In this episode, I break down which supplements are complete BS (testosterone boosters, multivitamins, fat burners, pre-workout supplements) and reveal the 5 best supplements men over 40 should actually take to boost testosterone naturally, build muscle after 40, improve sleep quality, reduce belly fat, and optimize health after 40.Supplements to AVOID After 40:Testosterone booster supplements (don't work, waste of money)Multivitamins for men (ineffective approach)Fat burner supplements (just expensive caffeine)Proprietary pre-workout supplement blends (underdosed ingredients)Anti Inflammatory supplements for men (your body breaks them down anyway)The 5 Best Supplements for Men Over 40:✅ Magnesium Glycinate (400mg before bed) - improve sleep quality, muscle recovery, natural testosterone support, reduce stress✅ Vitamin D3 (4000 IU daily) - boost testosterone levels, improve mood, support immune system, bone health for men over 40✅ Zinc Picolinate (30mg with food) - increase testosterone production, immune support, faster workout recovery, hormonal balance✅ Creatine Monohydrate (5g daily) - build muscle after 40, increase strength, improve brain function, cognitive health for older men✅ Ashwagandha (600mg evening) - lower cortisol levels, stress management, better sleep, support healthy testosterone levelsIf you're a man over 40 struggling with low energy, difficulty losing weight, declining testosterone, poor sleep, or lack of motivation to work out, these supplements actually work. After 16 years of coaching men in their 40s and 50s and trying every supplement on the market myself, these are the only ones that deliver real results for fat loss, muscle gain, hormonal health, and overall wellness after 40.Perfect for busy professionals, dads, and guys who want to get back in shape, lose belly fat, build lean muscle, and feel energized without complicated supplement stacks or expensive testosterone boosters that don't work.MORE FREE RESOURCES FOR MEN OVER 40:

Welcome to The Adviser's What's Making Headlines podcast, your go-to source for the week's biggest stories in finance and real estate, distilled into bite-sized insights. Join host Annie Kane, commercial content writer Ben Squires, and senior journalist Will Paige as they review the news of the week. This week, they discuss: The fallout from the November RBA rate decision. Westpac's revelation it is focusing on proprietary. The first look into uptake of the government's expanded deposit scheme. And much more!

Here's the uncomfortable truth: the AV industry is stuck. Proprietary protocols, ecosystem fragmentation, and vendor-specific bottlenecks are holding back innovation and killing your project margins. But what if one platform proved that true interoperability isn't just possible, it's essential?The video version of this podcast can be found here.Host Tim Albright and his industry expert guests bring you another must-watch AVWeek episode covering critical topics from the commercial AV world. This week, they're breaking down AV standards, exploring IEEE open standards, unpacking AV over IP technology, and revealing why transforming the AV industry is such an uphill battle.Host: Tim AlbrightGuests:Dawn Meade – Dawn on LinkedInJustin Watts – AMDSharath Abraham – JabraThis Week In AV:Commercial Integrator – Christie Digital sells Pandora's Box & Widget DesignerAV Magazine – Neat's new 32 Board AVNation – NSCA 2025 Industry ReportAV Magazine – 8K Space Feature Documentary from ChinarAVe Pubs – Sol Rashida to Keynote ISE 2026Roundtable Topics:AV Network – Single Pane AVAVNation – AV over IP in Higher EducationAV Magazine – AV/IT Support SavingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Matt Bowers — SEO and LLM consultant, formerly of Zapier and Zillow — joins Ross Hudgens for a deep dive into how AI is transforming programmatic SEO. They explore what's working and what's not for large-scale, AI-assisted content strategies — from full-AI “use-case” pages to hybrid human workflows. Matt breaks down examples of successful AI programmatic sites, the pitfalls of duplicate content, and the emerging “information gain” paradigm shaping rankings post-2024. They also discuss the limits of AI in UX-driven verticals, personalization opportunities, long-tail visibility in LLMs like ChatGPT, and how data-driven scaling can still give human SEOs a competitive edge. Plus: the rise and fall of Greg.app, the future of personalization, Zillow's “Project Boggle,” and practical tools like Builder.io, Strapi, and AirOps that power modern programmatic builds. Show Notes 0:08 – Matt returns for round two: programmatic SEO meets AI 1:00 – Are “pure AI” sites actually winning? What's working and what's not 2:06 – Inside a million-visit-per-month AI programmatic play 3:15 – Structuring AI content around real use cases, not blog posts 4:22 – Why old GPT-3.5 copy can still rank — and the “don't mess with success” mantra 5:03 – Dwell time as a differentiator: the “product as content” advantage 6:13 – How AI copy helps with indexing and duplicate-content differentiation 7:17 – Why Google probably isn't detecting AI directly and what it does instead 8:11 – The “high-DR arbitrage” era of AI content — and why it's fading 10:11 – Why most public AI case studies stay anonymous 11:16 – Case study: Greg.app — AI-generated plant care pages done right 12:03 – How prompt engineering + UX elevate AI content 13:13 – Prompting each paragraph individually vs. one giant prompt 15:21 – Two winning models: product-driven and UX-driven AI programmatic 16:15 – Why blog-style AI content still struggles and the “pizza” metaphor 20:05 – Greg.app's traffic drop: lessons from a 75% decline 22:21 – AI's scalability advantage — and its ROI trade-offs 25:24 – Zillow's data advantage: proprietary enrichment and GIS precision 26:16 – When AI enables pages that “shouldn't exist” by human economics 27:21 – Scaling what can't be scaled: the real AI unlock 28:16 – Competing in local long-tail SERPs with AI vs. humans 28:31 – Traits of losing players: low information gain, weak differentiation 29:20 – Why “information gain” may be the new ranking factor 30:06 – Proprietary data as the ultimate SEO differentiator 31:00 – How real estate UX converged — and why speed and personalization win 33:00 – When non-AI programmatic still wins: data-only, high-usability pages 35:07 – Where AI doesn't belong: when usability is more important than copy 35:37 – Personalization and the future of AI-driven recommendations 37:07 – The Perplexity vision: a world run by AI agents and voice search 39:06 – What AI agents mean for SEO and monetization 40:38 – Long-tail demand from LLMs and how Zapier used programmatic pages 42:29 – How LLMs discover your use cases and why it matters 43:20 – Using internal data to fuel new programmatic ideas Project Boggle 46:09 – Generating new landing pages from user search inputs 47:52 – Internal search data as a goldmine for programmatic expansion 48:30 – Tools of the trade: AirOps, Builder.io, Strapi, and hybrid stacks 49:43 – Why programmatic SEO still needs human PMs and engineers 50:08 – Where to find Matt online Show Links Matt Bowers on LinkedIn: https://www.linkedin.com/in/mpbow/ Matt's Website: https://mattb.rs/ Greg.app AI plant care example: https://greg.app/plant-care/monstera Strapi CMS: https://strapi.io/ AirOps: https://www.airops.com/ Builder.io: https://www.builder.io/ Subscribe today for weekly tips: https://bit.ly/3dBM61f Listen on iTunes: https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174 Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM Listen on Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9jT3NjUkdLeA Follow Siege on Twitter: http://twitter.com/siegemedia Follow Ross on Twitter: http://twitter.com/rosshudgens Directed by Cara Brown: https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo | #contentmarketing

Find me on Substack: https://bogumilbaranowski.substack.com/Matthew Peterson is the visionary founder and managing partner of Peterson Capital Management who leverages over 25 years of global financial experience, including a decade at Goldman Sachs, Morgan Stanley, and Merrill Lynch, to pioneer "structured value investing" - a sophisticated approach that combines classic value principles with options strategies to achieve superior returns while managing risk.EPISODE NOTES3:00 - Matthew shares his Minnesota upbringing and early financial curiosity, shuffling bank CDs for extra returns in the 1980s before understanding compounding5:30 - Wall Street experience at Goldman Sachs: "everybody was aligned, marching to the same beat" with 104-hour work weeks becoming "second family"8:15 - Introduction to structured value investing: using options as tools, not speculation, to buy stocks at better prices than traditional investors10:40 - Core strategy revealed: selling put contracts instead of market orders - "we say, I will commit to buying it for a hundred over the next year, but you have to pay us fifteen dollars"12:20 - Benefits explained: buying 20% cheaper creates massive IRR advantage over decades of compounding15:45 - Psychology advantage: options help value investors be more patient during early entry periods24:15 - Portfolio composition: seven core "infinite compounder" holdings including Berkshire Hathaway, designed to hold forever41:50 - 13F analysis strategy: monitoring 100+ value investors reduces 6,500 companies to just 400 prospects54:15 - Introduction to Alpha One AI platform providing comprehensive company analysis in 20 minutes1:02:25 - Structured dividend capture strategy for cash management1:11:15 - Success definition: "having the people that you want to love you, love you" - citing Warren Buffett's wisdomPodcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm's employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and unless otherwise stated, are not guaranteed.Information expressed does not take into account your specific situation or objectives, and is not intended as recommendations appropriate for any individual. Listeners are encouraged to seek advice from a qualified tax, legal, or investment adviser to determine whether any information presented may be suitable for their specific situation. Past performance is not indicative of future performance.

In this episode of the REB podcast, host Liam Garman speaks with DiJones CEO Dean Mackie and Brent May, chief operating officer, about how the company is transforming real estate through technology, culture, and innovation. Dean and Brent share how DiJones is balancing growth with cultural evolution, focusing on building a team that is ready to embrace digital transformation and AI-driven change. They explain how a decentralised workforce allows the company to operate efficiently from anywhere, while centralised operations provide scale and resources to support offices and enhance the client experience. The conversation also explores DiJones' innovative approach to buyer engagement. Proprietary technology enables personalised, responsive service across the entire user journey, recognising that most buyers are also sellers. Dean highlights the importance of cultural cohesion, noting that the company carefully aligns its team with its vision and values to create a high-performance environment.

OverviewMaribel Lopez interviews Kathleen Peters, Experian's Chief Innovation Officer, about AI's evolution in fraud detection, the shift to generative and agentic AI, and balancing innovation with security in financial services.Key TopicsAI Evolution at Experian15-year AI journey: Using machine learning for fraud detection long before generative AIDemocratization shift: Public LLMs like ChatGPT and Claude made AI accessible beyond data scientistsInnovation labs: 15-year-old team of PhDs and researchers finding insights in vast datasetsResponsible AI ImplementationRisk Council: Cross-functional team ensuring responsible AI adoptionSecurity-first approach: Enterprise tools with guardrails protecting sensitive credit dataCustom AI stack: Proprietary systems maintaining data privacy while leveraging AIAgentic AI ApplicationsEVA Experian Virtual Assistant (Consumer Assistant): Evolved from chatbot to personalized agent that can take actions like unlocking credit scoresBusiness Assistant: Democratizes data science, enabling rapid model development through natural languageReal-time capabilities: Shifted from batch to real-time fraud detectionAI-Powered Fraud ThreatsFraudster empowerment: Bad actors adopting AI faster than security measuresDeep fake risks: Sophisticated impersonation for identity theft and account takeoverAgent authentication: Challenge distinguishing legitimate vs. fraudulent AI agentsIndustry urgency: Can't wait for regulation; must develop solutions proactivelyKey AchievementsFast, safe adoption: Chose innovation over waiting, with proper security guardrailsProduct success: Launched consumer EVA and business AI assistantsIndustry leadership: Staying ahead of evolving fraud landscapeAdvice for OrganizationsEstablish Risk Council: Cross-functional leadership team for AI governanceDefine values first: Determine organizational risk tolerance before technical implementationSupport curiosity safely: Enable experimentation within secure boundariesDon't wait: Move quickly but responsibly - the technology won't slow downKey Quote"If you set up the infrastructure right, then you can let them hack away. You can let people be very curious."Participants: Maribel Lopez (Host), Kathleen (CIO, Experian)Focus: #AI #FraudDetection #GenerativeAI #AgenticAI #FinancialServices #SecurityKathleen Peters Chief Innovation Officer NA Fraud, Innovation & Commercialization Kathleen Peters leads innovation and strategy for Experian's Fraud and Identity business in North America, continuously exploring new ways to solve market challenges in identity, risk, and fraud detection. She and her team define business strategies and investment priorities while incubating new products, analyzing industry trends and leveraging the latest technologies to bring ideas to life. Kathleen joined Experian in 2013 to lead business development and global product management for Experian's newest fraud products. She later served as the Head of the North America Fraud & Identity business, until being named Chief Innovation Officer for Decision Analytics in 2020. Kathleen has twice been named a “Top 100 Influencer in Identity” by One World Identity (now Liminal), an exclusive list that annually recognizes influencers and leaders from across the globe, showcasing a who's who of people to know in the identity space.For nearly two decades, she has lived in

LinkDaddy® today announced its proprietary Backlink Strategy Report (BSR), a data-driven system that removes guesswork from SEO. The BSR delivers actionable backlink strategies, highlights on-page issues, and ensures businesses and agencies maximize ROI safely and effectively. LinkDaddy City: Miami Address: 80 Southwest 8th Street Website: https://linkdaddy.com

Send us a text00:00 - Intro00:54 - Anthropic Secures $183B Valuation Funding Milestone01:32 - Revolut Achieves $75B Valuation Share Sale02:10 - OpenAI Expands Tender from $6B to $10.3B03:07 - OpenAI Completes $1.1B Statsig Acquisition04:00 - OpenAI Launches Proprietary AI Chip Development Initiative04:47 - Lambda $6B Round + IPO Preparation with Nvidia Partnership05:24 - Mistral Drives $14B Valuation06:05 - Sierra Captures $10B Valuation06:57 - OpenEvidence Achieves $6B Valuation07:29 - Pinecone Considers Sale Amid Market Shifts07:59 - Klarna Targets $14B Valuation IPO08:52 - Gemini Pursues $2.1B Valuation IPO09:49 - SpaceX Wins 120 Annual Launches in Florida Base10:33 - Anysphere (Cursor) Explores Data Licensing Deals

In this Season 3 kickoff, Tara pulls back the curtain on her journey from a burned-out agency owner to a Scalable Expert — and the aha moments that clicked this summer. If you're great at what you do but stuck in custom work and hourly rates, this episode lays out what shifts to make: own your proprietary framework, deliver a core transformation, and use systems to scale your impact without maxing out your calendar.You'll Hear About:Why “hours for dollars” quietly caps your income and energyThe mindset gap between an implementer and an expertWhat truly makes a framework proprietary (not a renamed industry model)How the Infinite Scale Method™ lets you deliver one transformation in many formatsA simple thought experiment that exposes the hourly-rate trapThe real reason “adding more clients or more team” didn't fix the agency modelKey Takeaways:Experts don't just follow a model — they own an approach that creates a repeatable transformation.Scaling happens when your framework becomes the engine and delivery becomes modular (course, coaching, certification, licensing, book, workshops, etc.).Shift pricing to the value of the outcome, not minutes in a seat.Your best work should free your time and multiply results, not tie you to a calendar.Timestamps (approx.)00:00 Welcome & why this season matters03:00 What a Scalable Expert is — in plain terms05:30 Proprietary framework vs. “renaming a template”08:00 Delivering one transformation in many ways10:00 The agency ceiling and how it led to burnout16:00 Summer experiments: going back to corporate projects (on purpose)19:30 The $50/hr vs. $150/hr trap (and why efficiency can cost you)22:20 Leaping past time-for-money with value-based delivery23:30 What Season 3 will cover and how to plug inLinks & Resources:Book a Discovery Call Check out more about the Scalable Expert brandWatch the episode on our YouTube channel

In this episode, STR President Amanda Hite shares how she's thinking about the role artificial intelligence could play in the future of hospitality forecasting. Recorded at the 2025 Hotel Data Conference, this conversation explores why STR's 40 years of proprietary hotel data remain its greatest advantage, how her team is cautiously testing AI tools without risking data integrity, and the opportunities AI presents for improving data onboarding and analysis. Amanda also explains why human judgment will always be essential in interpreting numbers and telling the story behind them. Hospitality leaders will come away with a clear understanding of what AI can — and can't — do for forecasting, and how to integrate it effectively while maintaining trust in the results.Resource from Actabl: The Future of Hotel Labor Management: A Smarter, People-First Approach to Profitability A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

James breaks down this week's market moves, earnings buzz, and what could happen if inflation data looks good and the Fed starts flirting with rate cuts. He reveals his firm's proprietary “ideal” allocation for long-term investors and then wades into a full-blown LinkedIn throwdown with a CFP who's trying to talk TSP investors out of the C Fund...aka the S&P 500.

Whether it's the Gold Rush of yesteryear or today's Wellness Rush…it's hard to argue against the infallible nature of that famous “picks and shovels” proverb! This current “health optimization” period will undoubtedly be dramatized and romanticized…because the growing insanity of the Wellness Rush is no exaggeration. So, how do you get rich in today's Wellness Rush then? Yes, there's obviously outlier brands that will reach significant enterprise value…but most who thrive during the Wellness Rush will ignore acquiring health optimization end customers altogether. Instead, many successful companies will focus on another resource…the seemingly endless flow of new brand founders who transformed a shadowy niche into a thriving mainstream consumer market in a relatively short period of time. But while the “California Gold Rush” lasted only about a decade, the Wellness Rush is powered by a deeper multi-decade secular trend towards health-conscious consumption. Moreover, consumers are moving closer everyday towards this four-way intersection of taste, convenience, nutrition, and functionality. And consequently…every multibillion-dollar ingestible CPG category is in the early innings of a remarkable transformation, as thousands of brands are competing for consumer attention with wellness-focused marketing and functionality of ingredients. Yet, all that intense market expansion has caused a frenzy…and opportunity for those “picks and shovels” companies. About two weeks ago, TSI Group (a global leader in consumer-focused health and wellness innovation) successfully went through the process of becoming publicly traded on one of the world's most selective capital markets. But TSI Group listing its shares on the Shanghai Stock Exchange isn't just a financial milestone. Instead, it validates a strategic approach that has transformed real health needs into consumer-relevant, science-backed solutions for nearly three decades. And TSI Group builds these consumer-centric health solutions through an integrative approach spanning proprietary ingredients, advanced raw material optimization, innovative delivery systems, and personalized nutrition platforms. Based on its trailing twelve months of performance (for the period ending March 31, 2025), TSI Group reported generating around $145 million in revenue. So then, what's driving the business? TSI Group might be best known for HMB, a metabolite of the essential amino acid leucine (that plays an anticatabolic role in muscle tissue). In 2024, TSI Group generated around 29% of its total revenue from HMB…and holds more than 50% market share globally. As for the remaining TSI Group proprietary ingredients, the biggest proportion of its total revenue reportedly comes from ammonia sugar (which most commonly refers to glucosamine). TSI Group has about a 13% global market share…and GlucosaGreen has gradually grown into a world-renowned branded ingredient with high market recognition. Additionally, TSI Group has also developed and launched some of the most researched and effective nutraceutical ingredients, such as Peak ATP for athletic performance, Hobamine for cellular health, and Enfinity (paraxanthine) is becoming red hot within the functional beverages space. But beyond constructing several new facilities, a portion of the IPO proceeds will undoubtedly be allocated towards enhancing R&D capabilities to better understand downstream customer needs and industry pain points more deeply…as it's that root-cause approach, which has defined the 29-year legacy of TSI Group.

This show has been flagged as Explicit by the host. Presenter explores Thermosol refill challenges, proprietary adapters, and DIY solutions to optimize mosquito repellent efficiency. New Design Metal Refill Adapter For Thermacell Butane Cartridge DIY US Shipping https://www.thingiverse.com/thing:4963965 ( IDK if works ... ) https://www.ebay.com/itm/375229842193 https://www.ebay.com/itm/256712359477 https://www.ebay.com/itm/386734600195 https://www.youtube.com/watch?v=r6lAzan0MiU https://www.youtube.com/watch?v=FIf2SMrDY7E Wine Bottle Torch Kit 8 Pack, Includes 8 Long Life Torch Wicks, Lamp Cover & Brass Wick Mount(13.7 Inch,Bottle not Included) https://www.amazon.com/Bottle-Torch-Wicks-Copper-Included/dp/B01MSRJJTA Aldi https://www.thingiverse.com/thing:4780152 https://www.thingiverse.com/thing:2104000 IDEAS: Thermosol mosquito repellent devices require specific refill methods. Proprietary butane adapters create refill barriers for Thermosol. 3D-printed adapters offer a customizable refill solution. Butane refill systems include nozzles tailored to Thermosol cartridges. Proprietary check valves in cartridges complicate refills. Pressure management is critical during refilling. Marking the fill line prevents overfilling. O-rings must be carefully removed to access check valves. A wood screw can extract the proprietary check valve. Refilled Thermosol devices often use Chinese-yum pads. Discolored pads indicate the need for replacement. Yard waste storage increases fire risk for Thermosol. "Slit in the middle" adapters enable effective refills. Adapter design mimics regular butane cartridge geometry. Fuel escape through slits rather than central tube. Overfilling leads to excessive pressure buildup. Reusing empty Thermosol containers via refills. Combining DIY methods with commercial refill kits. Alternative nozzles may fail without proper adapter. Proprietary valve removal enables long-term cost savings. RECOMMENDATIONS: Use 3D-printed adapters for Thermosol refills. Extract proprietary check valves with a wood screw. Mark the fill line to prevent overfilling. Replace o-rings carefully to avoid damage. Store Thermosol in fire-safe containers. Combine DIY slits with commercial nozzles. Swap out discolored pads regularly. Repurpose empty Thermosol containers via refills. Use a tapered object with a central slit for refills. Avoid proprietary adapters by modifying existing nozzles. Pressurize and depressurize during refill cycles. Source affordable Chinese-yum pads for replacements. Inspect valves for one-way check mechanisms. Follow video tutorials for adapter installation. Prioritize sealed containers for long-term storage. Adapt butane lighter attachments for Thermosol. Test refill methods with empty containers first. Document fill line marks for future reference. Compare DIY solutions to commercial refill kits. Advocate for open-standard Thermosol refills. Provide feedback on this episode.

HT2321 - Proprietary RAW vs DNG I'm not a fan of proprietary file formats. It seems to me that they have a way of putting our content at risk. I'm not comfortable with that. Instead, I use the open source DNG format for my working images in my Lightroom catalog. I do keep, however, all the original RAW camera files on backup hard drives just in case a future generation DNG converter adds features that I might find useful. Show your appreciation for our free weekly Podcast and our free daily Here's a Thought… with a donation Thanks!

Ryan Gable, Managing Partner, BW Forsyth Partners Ryan discusses how his team uses a hybrid private equity model backed by Barry-Wehmiller to execute people-first, long-term acquisitions. With over 55 deals and zero exits, Forsyth has developed a sourcing and integration playbook that challenges traditional PE norms, focusing instead on trust, cultural alignment, and multi-decade value creation. Ryan breaks down how to build relationships that convert to proprietary deal flow, structure rollover equity with flexibility, and align seller incentives for lasting outcomes. Things you will learn: How to source proprietary deals by building trust with founders and prioritizing cultural fit Why Forsyth avoids traditional PE norms like over-leveraging and fixed exit timelines How they structure flexible equity rollovers and provide liquidity without needing to sell Episode Chapters: [00:02:00] From Investment Banking to Building Forsyth with Barry-Wehmiller [00:07:00] Why Barry-Wehmiller Created a New Investment Arm Instead of Scaling Internally [00:10:00] The Hybrid Equity Model: Strategic Backing + PE Agility [00:14:30] Rollover Equity and How Forsyth Structures Flexible Liquidity [00:23:30] From Auction Fatigue to Sourcing Proprietary Deals [00:26:00] How Forsyth Builds Trust With Sellers (And Wins Deals Off-Market) [00:31:00] Why Founders Should Think About Selling Before They're Ready to Retire [00:41:00] Structuring Earnouts that Sellers Actually Want to Hit [00:49:00] The “Less is More” Approach to Post-Close Integration [00:56:00] The Future of M&A: Return Expectations, Capital Saturation, and Deal Discipline Questions, comments, concerns?Follow Kison Patel for behind-the-scenes insights on modern M&A

#485 What does it take to grow a business to 207 locations in just two years? In this episode, host Brien Gearin chats with Aaron Harper, CEO of Rolling Suds, the first and largest power washing franchise in the U.S. Aaron shares his journey into the world of franchising, revealing the secrets behind scaling a business, how to build systems for success, and why franchising is a completely different business model from the original service. Plus, hear his number one piece of advice for aspiring entrepreneurs: take action, embrace risks, and start building your dream. If you've ever considered franchising your business, then tune in for a conversation that covers growth, risk, and everything in between! (Original Air Date - 9/20/24) What we discuss with Aaron: + Aaron's journey from Hollywood to franchising + Rolling Suds' growth to 207 locations in two years + Differences between running a business and franchising + Criteria for selecting the right franchisees + Why power washing is a scalable, niche industry + Proprietary technology and systems at Rolling Suds + Importance of strong operational and marketing systems + Franchising as a path to accelerated wealth Thank you, Aaron! Sign up to be a Rolling Suds franchisee at ⁠RollingSudsFranchise.com⁠. Follow Aaron on ⁠Facebook⁠, ⁠Instagram⁠, ⁠LinkedIn⁠, ⁠TikTok⁠, ⁠Twitter⁠, and ⁠YouTube⁠. Watch the ⁠video podcast⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. And follow us on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Want to hear from more incredible entrepreneurs? Check out all of our interviews ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Learn more about your ad choices. Visit megaphone.fm/adchoices

Ready to own a recession-resistant home services business? Today on Eye on Franchising, I talk to Michael Wagner, President of Roof Scientist, part of Homefront Brands, about an exciting ground-floor franchise opportunity in the roofing industry.Roof Scientist isn't just another roofing company—it's a disruptive franchise with exclusive nano-ceramic coating technology (SADE) that extends roof life and adds serious value for homeowners. Michael reveals how the model works, why it's ideal for first-time and experienced franchisees alike, and how Homefront Brands backs franchisees with world-class support, marketing, systems, and a fully staffed call center that even builds quotes for them.If you're looking for a high-ticket, high-margin franchise with strong demand, minimal inventory, and subcontracted labor flexibility—this is the episode for you.Timestamps:0:00 – Intro: Eye on Franchising with Michael Wagner1:15 – What is Roof Scientist? A ground-floor franchise opportunity4:02 – Exclusive SADE nano-ceramic roof coating explained7:48 – Roofing industry demand and market size10:30 – Differentiators: Repairs, replacements, coatings in one franchise13:20 – Franchise cost and investment range ($220–320K)15:45 – Ideal franchisee profile (sales, people, project management)19:05 – Subcontractor model and cashflow flexibility22:18 – Real margins and Item 19 disclosure highlights24:55 – Homefront Brands support systems, marketing, tech29:10 – The call center advantage: pre-qualifying leads & building quotes33:25 – Proprietary software and satellite roof measurement36:45 – Why franchise vs. starting solo? Proven systems and negotiated pricing41:02 – Protected territories and mapping process43:00 – Final thoughts on taking smart risks in business ownershipWhat You'll Learn:✅ Why roofing is a recession-resistant, high-ticket industry✅ How Roof Scientist's nano-ceramic technology differentiates it✅ How franchisees tap into subcontracted labor and keep costs flexible✅ The detailed support Homefront Brands provides—from call center to marketing✅ Who makes the best franchise owner (and how to build your team if you don't have all the skills)✅ How to compare franchising vs. going independent

KeywordsBitcoin, mining, 256 Foundation, open source, technology, community, ASIC, market dynamics, predictions, educationSummaryIn this episode of Pod 256, the hosts discuss various aspects of the Bitcoin mining community, including updates on the 256 Foundation, experiences from a recent meetup in Belgrade, and innovations in mining technology. They explore the importance of open-source mining, the challenges posed by copycats, and the dynamics of the Bitcoin market. The conversation also touches on predictions for Bitcoin's future price and the psychological aspects of Bitcoin pricing, emphasizing the need for education in Bitcoin adoption.TakeawaysThe 256 Foundation is actively engaging with the Bitcoin community.Rod shares insights from a recent meetup in Belgrade, highlighting community spirit.Open-source mining technology is evolving with new innovations.The importance of user experience in mining software is emphasized.Market dynamics are leading to a race to the bottom in pricing.New ASIC designs are impacting the mining landscape.Manufacturers and sellers play a crucial role in the Bitcoin ecosystem.Navigating copycats and knockoffs is a challenge for open-source projects.The state of the Bitcoin network is constantly changing, with fluctuations in hash rate.Education is key to fostering Bitcoin adoption and understanding. Chapters00:00 Introduction and Meeting Updates04:14 Rod's European Adventures and Community Engagement08:31 Innovations in Mining Technology12:33 The Future of Mining and Open Source Solutions16:49 The Shift from Proprietary to Open Hardware19:31 The Rise of Digital Shovel and Blue Axe20:57 Pricing Trends in Bid Axes22:19 The Race to the Bottom in Mining Hardware23:41 The Future of ASIC Manufacturers25:39 Challenges of Open Source in Mining27:51 The Impact of Rapid Development on Copycats28:34 State of the Network and Market Predictions38:25 The Mysterious Disappearance of Hashing39:06 Exploring the Hashes and Their Impact40:25 Community Contributions and Support41:34 The Rise of Ocean and Its Innovations42:46 Mining Dynamics and Market Fluctuations44:09 Treasury Strategies in Bitcoin Mining45:47 Market Sentiment and Bitcoin's Future48:31 The Psychological Aspect of Bitcoin Valuation50:25 Education and Resources for New Investors51:38 Upcoming Events and Community Engagement

Bob Young co-founded Red Hat, the first company to build a successful business around open source software, and helped shape the modern internet in the process. In this episode, Bob shares the story of how Red Hat went from a CD in a Ziploc bag to a billion-dollar business that inspired GitHub, Coinbase, and much of the cloud infrastructure we use today.But this conversation is about more than just software. Bob opens up about betting his family's finances on Red Hat, the moment he realized he wasn't meant to be a public company CEO, and why he believes capitalism, when done right, can be a powerful force for good.He also shares what he's building now (including a needlepoint company), how he thinks about failure, and the one principle he thinks every founder should live by.Where to find Bob:Lulu.comNeedlepoint.comTimestamps:(00:00) The challenge of fragmented attention and overbooked schedules(05:09) Red Hat's founding story and the philosophy behind open source(08:56) Why the internet is the world's largest open source project(13:34) From newsletter publishing to reinventing Linux(19:49) Why customers chose Red Hat: control, not cost(22:12) The business model insight that changed everything(24:44) How IBM's services model inspired Red Hat's structure(27:36) Scaling Linux for enterprise and dealing with constant updates(36:24) Proprietary software as a modern feudal system(43:33) Racking up $50K in credit card debt to keep Red Hat alive(49:01) Trust, marriage, and startup risk(55:05) Leaving Red Hat and why Bob stepped down as CEO(59:23) What sleep taught Bob about optimism and recovery(01:06:10) Red Hat's culture of ownership and accountability(01:14:24) Why Bob still builds: making the world a better place through business(01:15:02) The importance of discipline and organization(01:17:08) Founders' advice: serve customer needs, not just wantsIn this episode, you'll learn:How Red Hat became the first successful open source companyWhy control—not price—is the real value of open source softwareWhat makes transparency a business strategy, not just a virtueHow capitalism and idealism can actually alignWhy understanding customer needs matters more than their wantsThe difference between proprietary and democratic tech systemsHow to build culture that owns mistakes and learns out loudWhat it really means to commit to your co-founder and spouseHow to navigate failure, burnout, and your own limitations as a leaderWhat keeps Bob starting new companies in his third and fourth actsConnect with Alisa! Follow Alisa Cohn on Instagram: @alisacohn Twitter: @alisacohn Facebook: facebook.com/alisa.cohn LinkedIn: https://www.linkedin.com/in/alisacohn/ Website: http://www.alisacohn.com Download her 5 scripts for delicate conversations (and 1 to make your life better) Grab a copy of From Start-Up to Grown-Up by Alisa Cohn from Amazon

Nnamdi Okike of 645 Ventures joins Nick to discuss From Power Law to Proprietary Insight: Unlocking Early-Stage Alpha, Data-Driven VC, and Building a Next-Gen Firm. In this episode we cover: Frameworks and Signals for Early-Stage Investing Challenges and Opportunities in Non-Consensus Investing The Role of AI in Venture Capital Guest Links: Nnamdi's LinkedIn Nnamdi's X 645 Ventures' LinkedIn 645 Ventures' Website The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

U.S. Immigration and Customs Enforcement is looking to hire a company to help it mine through data sources including social media, international trade data, blockchain information, property records, and the dark web — the latest example of the agency looking to beef up the tools and platforms it uses in its enforcement operations. In a government procurement posting published late last month, ICE said it was interested in deploying a service that can continuously monitor a million people or entities of interest — and analyze trends for the purpose of “identifying potentially criminal and fraudulent behavior before crime and fraud can materialize,” among other goals. In a request for information for “Data Analytics” shared by ICE's investigations and operations support office in suburban Dallas, the government component outlined a range of requirements that it might seek from a contractor, like staff support, data analytics, and access to proprietary data. As the General Services Administration looks to form direct relationships with IT manufacturers to bring better value to agencies through governmentwide deals under its OneGov strategy, it's going to disrupt a staple of the federal IT acquisition ecosystem: value-added resellers. A significant portion of federal IT contracting traditionally goes through resellers that provide software services on behalf of original equipment manufacturers that often don't have the experience navigating or selling to the federal government. Those resellers, like Carahsoft, CDW-G and Iron Bow, however, specialize in that and provide additional services like integration, customization and support for commercial IT products. Lawrence Hale, assistant commissioner of the Information Technology Category in GSA's Federal Acquisition Service, said Wednesday during a webinar hosted by George Mason University's Baroni Center for Government Contracting that what GSA is trying to do by working directly with the manufacturers is flip that relationship. In going straight to OEMs for IT contracts — as GSA has done now with several vendors like Microsoft, Google, Adobe and Salesforce under its OneGov strategy announced in April — resellers won't be eliminated. Instead, they can still serve as authorized partners or subcontractors to those IT manufacturers, Hale explained, whereas the opposite is often true today. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

TVC 693.2: Part 2 of our January 2017 conversation with Loretta Swit about her lifelong interest in watercolor painting, her “proprietary relationship” with wildlife, her vast stage career (including her then-recent portrayal of former First Lady Eleanor Roosevelt), and a few questions about M*A*S*H, including Loretta's deep respect for real-life nurses; "The Nurses," the famous episode, written by Linda Bloodworth-Thompson and directed by Joan Darling, that forever changed the trajectory of the character of Major Margaret Houlihan; and the woman on whom Loretta based her portrayal of Margaret. Loretta Swit passed away on Friday, May 30 at the age of eighty-seven. All proceeds from sales of Loretta's book, SwitHeart, her SwitHeart greeting cards, and her signature perfume, SwitHeart, will continue to support various animal rights organizations as part of Loretta's endless campaign to end animal suffering and cruelty.

From Big Four to 19 Acquisitions: Sequoya Borgman on Building Borgman Capital Sequoya Borgman, Founder of Borgman Capital, joins the show to discuss his leap from public accounting into private equity, building an independent sponsor model, and the real challenge behind every deal—people. He shares lessons from 19 acquisitions, why they prioritize cultural fit, and how they're tapping into retail capital and AI to scale smarter.[00:03] From Arthur Andersen to launching Borgman Capital in 2017[01:44] Acquisition focus:

Episode #337 – Build Your Jewelry Business on Your Own Terms: Marketplaces vs. Proprietary Channels So many jewelry business owners pour time and energy into marketing without realizing that where they sell is shaping everything—from what's possible to how they connect with customers. In this episode, I'm breaking down the difference between marketplaces and proprietary sales channels, how each one impacts your marketing strategy, and what it really takes to build a business on your own terms.

Jack Kloppenburg has been a leading figure in the fight to protect seed-sharing commons over the past forty years. It's a struggle that began in the 1980s as large ag-biotech companies have sought to make seeds privately owned and proprietary using all sorts of legal, technological, and market restrictions. Kloppenburg has been a professor at the University of Wisconsin, Madison since 1985 and a founder of the Open Source Seed Initiative. OSSI leads a movement of farmers, breeders, gardeners, and small seed companies dedicated to building a culture of openly shareable seeds and breeding innovation.

PREVIEW: COLLEAGUE CHRIS RIEGEL COMMENTS ON THE RISKS AND REWARDS OF HIRING A CHINESE NATIONAL TO WORK ON OR HAVE ACCESS TO PROPRIETARY DATA. MORE LATER. 1957

Wood-fired flavor meets franchise domination. In this episode of Franchise Envy, Lance Graulich talks with Calvin Freatman (CEO) and Thomas Reinhard (CFO & General Counsel) of Cascadia Pizza Co. the Seattle-based concept that started with a stealth wedding pizza—and now fuels a $2.4M+ business through food trucks and a lean, sub-700 sq ft brick-and-mortar model.Think the world doesn't need another pizza franchise? Think again. Why You'll Love This Episode:✅ $30/hr pizza jobs—no food experience needed✅ 100% wood-fired ovens + fine dining techniques in fast-casual settings✅ Start with a low-cost food truck, then scale to brick & mortar✅ Proprietary dough = artisan flavor + better digestion✅ Lean teams, high retention, radically simplified systems✅ Real numbers. Real founders. Real opportunity.What You'll Learn (Timestamps):00:00 - “High schooler-proof” pizza systems04:38 - From food truck to 7-figure operation09:51 - The artisan edge: wood-fired & wildly good13:10 - Franchise model: start fast, grow smart18:27 - Why staff love this job (and don't leave)23:42 - Food truck costs & how fast you can launch30:01 - Their go-to pies + the pineapple debate

What does it mean to be a “day one partner” for founders—and how does that change in an era of AI-driven acceleration?On this episode of The Data Minute, Peter sits down with Ed Sim, founding partner of Boldstart Ventures and the voice behind “What's Hot

Keywords256 Foundation, Bitcoin mining, open source, Ember One, Mugenia, Hydra Pool, mining pool, reference designs, community projects, decentralized miningSummaryThe conversation revolves around the 256 Foundation's mission to dismantle proprietary mining solutions in Bitcoin. The speakers discuss various innovative projects, including the Ember One hash board, the Mugenia firmware, and the Hydra Pool mining pool. They emphasize the importance of open-source solutions and community contributions in achieving their goals.TakeawaysThe 256 Foundation aims to dismantle the proprietary mining empire.Open-source solutions are crucial for Bitcoin mining innovation.The Ember One hash board is designed for tinkering and experimentation.Mugenia firmware will provide a universal mining solution.Hydra Pool will serve as an open-source mining pool.Reference designs will help users innovate without starting from scratch.Community contributions are vital for the success of these projects.The goal is to make Bitcoin mining accessible and open to all.The projects are already gaining momentum and traction.Support for the 256 Foundation is encouraged to further their mission.Chapters00:00 Introduction to the 256 Foundation and Its Mission06:00 Developing Open Source Firmware: Mugenia12:10 Reference Designs and Community Engagement

Are you giving away your authority without realizing it?In this episode of The Scalable Expert Podcast, Tara tackles a critical question that could be holding back your growth: Are you the expert or just the messenger for someone else's framework?If you've ever found yourself referencing another expert's book, system, or certification more than your own insights, you might be unintentionally giving away your authority. Tara breaks down how to use tools, models, and certifications without diminishing your own expertise and how to build a proprietary framework that positions you as the clear leader in your space.Whether you're certified in someone else's methodology or piecing together ideas from different mentors, this episode will help you stop diluting your value and start owning the approach that's already yours.

SummaryIn this episode of the Compliance Guy, Sean and Terry discuss the importance of being vigilant in healthcare compliance, particularly regarding Evaluation and Management (E&M) services. They emphasize the need for accurate documentation, understanding the risks involved in patient management, and relying on authoritative sources like the AMA for guidance. The conversation highlights the potential dangers of using proprietary tools that may misrepresent E&M guidelines and the importance of maintaining integrity in healthcare practices.TakeawaysThe importance of being vigilant in healthcare compliance.Accurate documentation is key to compliance.Understanding the risks involved in patient management is crucial.Relying on authoritative sources like the AMA is essential.Proprietary tools may misrepresent E&M guidelines.Navigating risks in patient management requires careful consideration.Healthcare professionals should maintain integrity in their practices.Feedback from listeners is invaluable for improvement.Continuous education on compliance is necessary for healthcare professionals.Building a circle of trusted resources is vital for success.

In this episode we talk about getting started. Founding a company means you are constantly learning to do new things, like hiring and selling. How do you handle these new situations where you have no experience? How do you avoid mistakes? We are here to help! In this episode we answer questions including:How is AI changing the nature of work?How do you stay ahead of how fast AI is changing today?Will my data advantage still be an advantage in the future?Can AI really replace employees for me?All of these questions were submitted by listeners just like you. You can submit questions for us to answer on our website TheStartupHelpdesk.com or on X/Twitter @thestartuphd - we'd love to hear from you!Your hosts:Sean Byrnes: General Partner, Near Horizon www.nearhorizon.vcAsh Rust: Managing Partner, Sterling Road www.sterlingroad.comNic Meliones: CEO, Navi www.heynavi.comReminder: this is not legal advice or investment advice.Q1: How is AI changing the nature of work?AI has transformed daily workflows across every part of the startup journey. From first drafts of sales and marketing copy, to deep research using tools like ChatGPT and Perplexity, it's become the first step for many creative processes. Internal tooling has gotten faster with tools like Replit and Cursor, while product discovery now often starts with AI instead of Amazon. Whether it's coding, devOps, or customer discovery, AI gives founders leverage.Q2: How do you stay ahead of how fast AI is changing today?The key is to stay focused on your customer. While tech shifts rapidly, true customer pain changes slowly. Solve real, urgent problems—and use AI tools along the way to stay nimble. It's totally fine to use APIs like OpenAI's or wrap an existing model. The winning strategy? Build something valuable today, and keep evolving it with your users.Q3: Will my data advantage still be an advantage in the future?"Proprietary data" is losing its edge. Even Bloomberg's private GPT underperformed public models. Unless your data is restricted, hyper-niche, or massive, it's probably not a moat. What matters more is how well you deliver value to users—accuracy, speed, experience, and reliability. That's your real advantage.Q4: Can AI really replace employees for me?It's not about replacing people—it's about hiring the right combination of people and AI. Founders need to build the muscle of managing both. The real opportunity is in learning when to hire a human, and when to "hire" an AI tool. Treat AI as an employee that never sleeps, but still needs thoughtful management. We are already seeing plenty of instances where founders are using AI to replace content marketing teams. Furthermore, there is a trend towards smaller engineering teams, with engineers using AI tools to complement and accelerate their efforts.

Interview with Justin Black, CMO, and Jean-Paul Tsotsos, Interim CEO of Chesapeake Gold Corp.Our previous interview: https://www.cruxinvestor.com/posts/chesapeake-gold-tsxvckg-innovative-technology-new-gold-ounces-5163Recording date: 7th April 2025Chesapeake Gold has developed a groundbreaking oxidation technology that could revolutionize how refractory gold deposits are mined globally. The company's Metates deposit in Mexico, containing 17 million ounces of gold and 423 million ounces of silver, was previously considered too challenging to develop economically due to its refractory nature, where gold is trapped in sulfide minerals.The proprietary technology transforms sulfide ore into oxide ore through an accelerated oxidation process, making previously unrecoverable gold accessible through conventional heap leaching. This innovation essentially compresses what would naturally take "100 million years" into just months, by applying special reagents that strip sulfur from pyrite crystals and replace it with oxygen.The economic impact is dramatic. Previous development plans for Metates required pressure oxidation autoclave technology with a capital expenditure of approximately $3.5 billion for a 90,000 ton per day operation, yielding a sub-10% internal rate of return (IRR). With the new technology, Chesapeake can start with a 15,000 ton per day operation at a capital cost of just $360 million, achieving a 35% IRR and all-in sustaining costs of approximately $750 per ounce.Justin Black, Chesapeake's Chief Metallurgical Officer who previously worked with the technology at Hycroft Mining, demonstrated its effectiveness on a commercial scale with a 150,000-ton test pad. Material that initially had only 20% recoverable gold achieved 80-90% recovery after treatment. For Metates specifically, tests showed that material oxidized for 204 days reached nearly 75% gold recovery compared to just 33% for untreated ore.Beyond economics, the technology offers significant environmental advantages over traditional methods for processing refractory ores, including lower water consumption, reduced energy usage, and lower greenhouse gas emissions.According to CEO Jean Paul Tsotsos, this technology could unlock a market worth approximately $1.5 trillion in currently inaccessible gold resources. McKinsey estimates approximately 580 million ounces of gold globally are considered refractory, with these deposits typically offering higher grades (averaging 2.25 g/t versus 1.21 g/t for non-refractory deposits).The company has identified over 200 deposits globally where the technology could apply and is advancing on multiple fronts, including continuing test work, analyzing samples from other companies, and planning to establish a pilot plant to further demonstrate the technology's effectiveness.View Chesapeake Gold's company profile: https://www.cruxinvestor.com/companies/chesapeake-goldSign up for Crux Investor: https://cruxinvestor.com

A recent study published in JAMA Health Forum suggests that institutions may be able to deploy custom open-source large language models (LLMs) that run locally without sacrificing data privacy or flexibility. Coauthors Thomas A. Buckley, BS, and Arjun K. Manrai, PhD, from the Department of Biomedical Informatics at Harvard Medical School join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss. Related Content: Can Open-Source AI Models Diagnose Complex Cases as Well as GPT-4?

In this episode of the Private Equity Funcast, host Ryan Milligan speaks with OpenBrand CEO Greg Munves and Chief Economist Ralph McLaughlin about their innovative approach to tracking inflation through the OpenBrand Consumer Price Index for Durable and Personal Goods (CPI-DPG). The CPI-DPG is updated weekly, providing a third independent data point for measuring inflation. Its accuracy has been validated with a mean absolute percentage error (MAPE) as low as 1.6% in specific categories. Additionally, OpenBrand offers scenario-based inflation forecasts, enabling companies and investors to tailor predictions to their expectations and market views. Munves and McLaughlin also outline practical use cases: • Manufacturers and retailers optimizing their pricing and promotional strategies. • Investors seeking early insights on market inflation trends to refine financial models. • Policymakers evaluating the effects of economic policies. Video Version

About the Guest(s):Amy IrvineAmy Irvine is the CEO and founder of the Rooted Planning Group, a financial planning firm dedicated to helping individuals and families cultivate a thriving financial future. With extensive experience in the finance industry, Amy is a respected voice in personal finance, often highlighted for her unique insights and practical advice aimed at improving financial literacy. As a passionate advocate for financial equality, she frequently contributes to discussions on contemporary financial issues, especially those impacting women.Episode Summary:In this insightful episode of Money Roots, host Amy Irvine delves deep into the intertwined history of women and money, while also exploring foundational concepts of the money supply. Released during Women's History Month, this episode provides a timely reflection on how historical gender biases have shaped financial opportunities and challenges for women over centuries. From elucidating the definitions of M1, M2, and M3 money supplies to detailing landmark legislative changes that aimed to rectify gender-based financial inequalities, Amy delivers a wealth of information meant to empower and educate listeners.Throughout the episode, Amy Irvine sheds light on the significant historical milestones that have shaped women's financial rights and opportunities. With a nod to landmark legislation such as the Married Women's Property Act and the Equal Credit Opportunity Act, listeners are guided through two centuries of evolution in women's financial rights. Highlighting the persistent wage gap, which has seen stagnant improvement since 2003, Amy calls for continued education and advocacy, emphasizing the role of allies in supporting financial gender equality. By understanding the past, Amy believes, we pave a clearer path for a future where financial parity can be realized.Key Takeaways:Understanding Money Supply: Amy introduces listeners to the basic concepts of money supply, categorized into M1, M2, and M3, explaining their roles in economic growth and inflation.Historical Gender-Based Financial Inequality: The episode tracks the timeline of female financial rights, revealing the extent of historical discrimination that women faced in terms of property ownership, credit access, and professional opportunities.Legislative Milestones: Key legislative acts such as the Married Women's Property Act and the Title IX are highlighted, portraying their impact on women's rights and financial autonomy.The Persistent Gender Wage Gap: Despite progress, there remains a significant gap in earnings between women and men, citing statistics that reveal women earn approximately 85% of what men do.Call to Action for Financial Equality: Encouragement is given to allies—parents, partners, and friends—to support women in achieving financial literacy and independence.Notable Quotes:"The reason that I'm bringing this up is because we've been having a lot of conversations with people about money supply in general.""If you can't vote, you have no say over what does and doesn't happen to you.""So technically, women at that point in time, if they got pregnant prior to that, you could lose your job, you could lose your way of supporting yourself.""There's still a lot that we need to do to continue to bring parity to the way that women earn money, get paid, our relationship with money, all of that.""For Women's History Month, if you have a daughter, if you have a niece, if you have a wife, support her in the way that, you know, promotes this continued direction towards parity of pay."Resources:Rooted Planning Group:

Nicole Rincon https://www.nicolerincon.comNicole's X https://x.com/NicoleRinconPARossignol Clinic https://rossignolmedicalcenter.comTACA Info: https://tacanow.org/wp-content/uploads/2019/10/F-H-2-Nicole-Rincon-Beginning-Biomed.pdfTACA Talks: https://www.nicolerincon.com/videosPublications https://rossignolmedicalcenter.com/articles-publications/#published-2024-2-articlesNicole Episode 1 https://www.youtube.com/watch?v=BBkdgwVfcZINicole Episode 2 https://www.youtube.com/watch?v=auLReV0DHkQDaylight Computer Company https://daylightcomputer.comuse "autism" in the discount code for $25 coupon.This is the future of tech.Chroma Light Therapy https://getchroma.couse "autism" for a 10% discount,***THIS IS NOT MEDICAL ADVICE***0:00 Nicole Rincon1:10 Daylight Computer Company; DC-15:33 Pre-pregnancy checks; Vitamin D8:37 MTHFR, Folate; Mitochondria; CPR, ESR, Inflammation11:12 GI; CSA; Bacteria, Fungus, Parasites, Calprotectin; Zonalin; MS & Proteus Mirabilis13:06 Organic Acid Test (OAT); Clostridia15:24 MTHFR; C677, 1298; Folinic Acid19:02 Folate's role in pregnancy and development; Critical info about types and duration22:35 Cholesterol; Maternal & Child; Speech & Communication25:06 Telepathy; Autism Rates26:40 Dysbiosis; PCOS29:30 Cholesterol ranges & symptoms; mood, irritability, cognition, aggression; Cortisol & Hormones37:02 Dysbiosis symptoms; Self-Injurious, Posturing41:08 Identifying symptoms in Non-Verbal; Self-Injurious45:08 Importance of Gut Health & Checks; Vitamin D, Electrical Efficiency & Biological Energy48:17 Autistics and pale skin; too many are pale; supplementing Vitamin D, K2; Brands51:00 Proprietary blends warning; abbreviated doses; Fungal overgrowth, Yeast55:49 "Binders;" Magnesium61:00 Fungal Overgrowth & Autism; OAT, Clostridia, C. diff, aggression, self-injurious; Antibiotics & Probiotics1:05:42 Telepathy Tapes, Autism, Water (Cytochrome C Oxidase), Coherence; Luc Montagier NOT Emilio Del Giudice; Distal Connections via Water and NOT axons; OutroX: https://x.com/rps47586Hopp: https://www.hopp.bio/fromthespectrumYT: https://www.youtube.com/channel/UCGxEzLKXkjppo3nqmpXpzuAemail: info.fromthespectrum@gmail.com

Today's bikes are really, really good. That doesn't mean we don't have major pet peeves, however. Proprietary seat posts and stems, are an easy one, as are companies cheaping out on bolts and bearings. But we went further, talking about the bike industry's propensity to push bikes on us that don't help riders address their weaknesses, and perhaps most importantly, how we wish the bike industry solved these issues.  Look, we said the bikes are good. We didn't say they were perfect! In the news, we talk about Devinci's latest Hatchet Pro gravel bike that is a whole lot more racey than we'd expect. Is Hope Tech's new carbon gravel crank with a foam core going to be any good? And we talk about why Josh isn't going to stop waxing his chain any time soon. All that and more in the latest Velo Podcast. See more: velo.outsideonline.com/featured

iOS 18.3 lets some T-Mobile users access Starlink, Comcast rolls out new Xfinity low-latency feature, US Copyright Office says AI-generated content alone isn't eligible for protection. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy whatContinue reading "OpenAI Claims DeepSeek Used “Distillation” On OpenAI’s Proprietary Models – DTH"

It's wild how much the right nutrition can shift everything—your mood, your focus, even how connected you feel to others. Shawn Wells, a brilliant Nutritional Biochemist with over a thousand patented supplements to his name, opens up about his journey from a tough childhood and battling obesity to discovering the life-changing power of nutrients. He even dives into his latest innovations, like the Mindvalley States and Paraxanthine—a caffeine metabolite that sharpens your focus without those jittery side effects.   Ever wondered if the supplements you take are actually working? Shawn breaks it down, sharing why some products don't do what they promise and how to spot the ones that actually work. He also talks about the simple shift of getting into a parasympathetic state to really absorb the nutrients you're taking. And if you've ever wondered how food impacts more than just your body—like your mood or your ability to connect with others—you're in for some surprising insights. Shawn makes the science feel easy to understand and even easier to apply. Whether you're looking for a better way to manage stress, stay focused, or just understand what you're putting into your body, this conversation is for you! You'll come away inspired and ready to take small but powerful steps for your health and happiness. Key Timestamps [00:03:02] Pursuing passion through supplementation. [00:06:29] Power of relaxation and self-care. [00:09:10] Proprietary blend as a scam. [00:16:06] Love without earning it. [00:20:08] Mood regulation through supplementation. [00:22:22] Mindvalley States for relaxation [00:30:03] Internal validation vs. external validation. [00:31:21] Empathy and its healing potential. [00:38:24] Generational trauma in narcissism. [00:42:48] Supplementation for human connection. [00:45:15] Mood management in life. Memorable Quotes "If we hold that supplement and think about the benefit—have gratitude for it, what the power of it's supposed to be, where it's supposed to go—I believe that the effect will be heightened." – Shawn Wells "If we want to not only move away from deficiency but think about optimization and about achieving these elevated states, which so many don't want us to achieve, then you have to supplement. And that's why I believe these things are now foundational and not supplemental." – Shawn Wells Links Mentioned:  Mindvalley States: https://www.mindvalleystates.com/  Where to Find Our Guest Website: https://shawnwells.com/ Instagram: https://www.instagram.com/shawnwells/ To stay connected and to learn more about Vishen and Mindvalley, click on the links below:  Website: https://www.mindvalley.com/about YouTube: https://www.youtube.com/vishenlakhiani Instagram: https://www.instagram.com/mindvalley/ Instagram: https://www.instagram.com/vishen/ Facebook: https://www.facebook.com/mindvalley Subscribe to 'Mindvalley Membership' to discover 65+ transformational Mindvalley programs – at a surprisingly low annual fee here