Tales From The PROS

Michael Georgiou: Imaginovation, Co-founder, Tech Entrepreneur, Podcaster, Influencer

Tales from the PROS is hosted by Michael Georgiou, Co-Founder, and Eric Lawrence, Director of Growth at Imaginovation, an award-winning app and software development company. Each episode dives into honest, unscripted conversations, hard-earned lessons, and educational insight into how to help bridge the gap between technology and people. If you’re a founder, exec, or innovator trying to navigate the tech world without getting burned, this podcast is your no-BS roadmap. Through real talk, personal stories, and insights from the front lines, you’ll pick up smarter ways to build software, steer clear of common mistakes, and choose the right partners in a crowded, often confusing space. Whether you’re scaling a startup, driving digital change at a larger company, or just love keeping up with tech innovation, Tales from the PROS brings you straight-shooting advice and inspiration without the fluff.

  1. 4d ago

    Where the Smart Money in Tech is Going (feat. Jim Ferry)

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence sit down with Jim Ferry, a partner at Volition Capital, to explore what investors are really looking for in AI and technology businesses in 2026. With experience evaluating thousands of companies and investing in high-growth, founder-owned businesses, Jim shares how investors assess startups, founders, technology, and market opportunities in a rapidly changing AI landscape. The conversation dives into what makes a technology business durable, why defensibility matters more than ever, and how AI and vibe coding are changing the way products are built and scaled. From technical debt and product validation to market fit, long-term vision, and the future of AI-powered automation, this episode offers practical insights for founders, entrepreneurs, and anyone building or investing in technology. 🎯 Highlights You Won't Want to Miss  What investors are really looking for in AI and tech businessesWhy durability and defensibility are critical in the AI eraHow investors evaluate founders and management, teamsThe impact of vibe coding and AI tools on product developmentWhen should startups move from prototypes to scalable technologyWhy technical debt matters when a company begins to scaleHow convenience can create lasting value even when technology is easy to replicateWhy niche markets and difficult-to-replicate products can become strong businessesWhat categories of technology are attracting investor attention in 2026Why founders need to think beyond short-term revenue goalsHow AI agents could transform the way we work and live  🎧 Listen and Subscribe Spotify:https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts:https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube:https://www.youtube.com/@Imaginovation/podcasts SoundCloud:https://soundcloud.com/talesfromthepros 💡 Key Takeaways In the AI era, durability may matter more than simply having an AI-powered product. Businesses need defensibility through factors such as proprietary data, distribution, integrations, network effects, or other durable advantages. Investors evaluate people and execution just as closely as the product and market. Vibe coding can accelerate product validation, but commercially scalable products still require strong technology, security, compliance, and infrastructure. Not every company needs to build everything in-house; convenience, cost, and maintenance can make third-party software the better choice. A large TAM does not automatically mean a large opportunity. The actual serviceable market and ideal customer profile matter. Founders need to balance short-term execution with a three-to-five-year vision. AI is likely to create new types of work as it automates existing tasks and workflows. The companies that stand out may be those that can use AI while maintaining a durable competitive advantage. Intellectual curiosity and a willingness to experiment with AI can become an important advantage for individuals and businesses. 🗂 Topics We Cover AI investing and technology trends in 2026Startup investment criteria and growth equityBusiness durability and competitive defensibilityAI-native businesses and the AI transformationVibe coding, no-code tools, and product validationTechnical debt and scalable product developmentFounder evaluation and management teamsProduct-market fit and ideal customer profilesTAM, SAM, and market opportunityLong-term business strategy and growthAI agents and the future of workBuilding technology businesses that are difficult to replicate  ⏱️ Chapters 00:00 — Introduction to Investment Trends in Tech02:59 — Jim Ferry's Journey and Volition Capital's Strategy05:48 — Understanding the Importance of People in Investment08:26 — Evaluating Products in the Age of AI11:09 — The Durability Question in Tech Investments13:57 — Navigating Technical Debt and Product Development16:35 — The Role of No-Code Tools in Product Validation19:26 — Convenience vs. Custom Solutions in Software Development21:11 — The Niche of Pet Screening in Property Management23:37 — Investment Trends in AI and Technology27:03 — Navigating the Evolving Landscape of AI Solutions29:54 — Understanding Market Dynamics and Product Fit32:45 — Long-Term Vision vs. Short-Term Gains in Business35:46 — The Future of AI and Its Impact on Work

    Where the Smart Money in Tech is Going (feat. Jim Ferry)

  2. Jul 22

    Ep 87 - The Decisions That Turn Dreamers Into Tech Founders

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence explore one of the biggest challenges aspiring entrepreneurs face: turning a great idea into a real business. Every day, countless people dream about launching the next successful app, SaaS platform, or startup—but very few ever take the leap. Michael and Eric discuss what separates dreamers from founders, why execution matters more than perfection, and how the decisions you make today determine whether your idea ever becomes reality. Drawing from Michael's own journey of building Imaginovation from the ground up, the conversation covers the sacrifices, setbacks, mindset shifts, and lessons learned over nearly 15 years of building a technology company. Whether you're launching your first startup, building a software product, or creating something new inside an existing business, this episode offers practical advice for moving beyond ideas and into execution. 🎯 Highlights You Won't Want to Miss Why great ideas fail without executionThe founder trap: overthinking instead of buildingMichael's journey of starting Imaginovation at 23The sacrifices founders often make before seeing successWhy waiting for the perfect product can hold you backThe "skateboard before the Ferrari" analogy for building productsEric's Founder Decision Cycle: Decide → Move → Learn → Adapt → RepeatWhy resilience, optimism, and adaptability matter more than perfection🎧 Listen and Subscribe Spotify:https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts:https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube:https://www.youtube.com/@Imaginovation/podcasts SoundCloud:https://soundcloud.com/talesfromthepros 💡 Key Takeaways Successful founders stop waiting and start building.Progress comes from execution—not endless planning.Every mistake provides valuable feedback for growth.Great products evolve through continuous learning and iteration.Resilience and the right mindset are essential during difficult times.Building something meaningful requires intentional decisions and consistent action.You don't need a perfect product to start—you need one that solves a real problem.The only founder who truly fails is the one who stops.🗂 Topics We Cover Startup mindset and entrepreneurshipTurning ideas into successful technology businessesSaaS product development and MVPsFounder psychology and decision-makingOvercoming fear, perfectionism, and analysis paralysisBuilding resilient businesses through iterationLeadership, execution, and long-term growthLessons from building a software company⏱️ Chapters 00:00 — Why most startup ideas never become reality01:30 — The difference between dreamers and founders04:20 — Michael's journey building Imaginovation from the ground up08:10 — The founder trap: planning versus execution11:50 — Sacrifice, resilience, and learning through failure17:30 — Why perfection delays progress22:20 — The skateboard vs. Ferrari product analogy25:15 — The Founder Decision Cycle29:00 — Final advice for aspiring founders and entrepreneurs

    Ep 87 - The Decisions That Turn Dreamers Into Tech Founders

  3. Jul 8

    Ep 86 - How to Scale Your Funded Startup App for Success

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence sit down with Jonathan Maxim, founder of Viral App Launch, to discuss what it really takes to turn an app idea into a successful business. Drawing from hundreds of app launches and years of experience helping startups grow, Jonathan shares why most founders struggle after building their product and why success depends far more on mindset, patience, and execution than simply having a great idea. The conversation explores everything from validating product-market fit and optimizing onboarding to scaling user acquisition, raising capital, and building sustainable growth. Jonathan also explains why founders should focus on solving one problem exceptionally well instead of trying to build the next billion-dollar platform. If you're building a startup, launching a SaaS product, or trying to grow your mobile app, this episode is packed with practical advice you can apply immediately. 🎯 Highlights You Won’t Want to Miss • Why most startup apps fail after launch• The biggest marketing mistakes first-time founders make• How to validate product-market fit before scaling• Why onboarding can make or break your app• The framework Jonathan uses to grow apps from 1,000 to 10,000 users• How to think about customer acquisition cost (CAC) and lifetime value (LTV)• Why niche products outperform broad "build everything" apps• The mindset every entrepreneur needs to overcome setbacks• How AI is changing app development—and what won't change• Why finding joy in the process is essential for long-term success 🎧 Listen and Subscribe Spotify:https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts:https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube:https://www.youtube.com/@Imaginovation/podcasts SoundCloud:https://soundcloud.com/talesfromthepros 💡 Key Takeaways • Great products don't guarantee successful businesses—execution does.• Validate your product before investing heavily in growth.• Optimize your onboarding experience before increasing marketing spend.• Focus on solving one problem exceptionally well.• Patience, resilience, and persistence matter more than overnight success.• Founders should use customer feedback as data, not as personal criticism.• AI is a powerful tool, but vision and strategy still belong to entrepreneurs.• The businesses that endure are built by founders who enjoy the journey, not just the destination. 🗂 Topics We Cover • Startup app development and growth• Product-market fit validation• App marketing and user acquisition• Customer onboarding optimization• Customer acquisition cost (CAC) and lifetime value (LTV)• Startup funding and scaling strategies• AI and the future of app development• Entrepreneurship, mindset, and resilience ⏱️ Chapters 00:00 — Why scaling an app is harder than building one02:30 — Jonathan's startup journey and lessons from Viral App Launch06:30 — Why startups succeed or fail13:20 — Common app marketing mistakes founders make18:20 — The framework for scaling from 1,000 to 10,000 users25:30 — Startup funding, risk, and founder mindset36:10 — Where AI is taking app development45:40 — Why finding joy in your work matters47:50 — Final advice for founders and entrepreneurs

    Ep 86 - How to Scale Your Funded Startup App for Success

  4. Jun 3

    Ep 85 - Leading Change: Turning Disruption Into Results

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence sit down with change management and enablement leader Cesar Viana Teague to explore one of the biggest challenges organizations face today: leading people through change. From ERP rollouts and CRM adoption to AI-driven transformation, Cesar explains why successful change is about more than new systems or training. It’s about people. Drawing on decades of experience in sales, enablement, and organizational leadership, Cesar explains why resistance occurs, how leaders can build buy-in, and what it takes to guide teams through disruption. The conversation covers his APEEE framework for managing change, the importance of communication and stakeholder alignment, and how AI is reshaping the way organizations work. If you're implementing new technology, navigating organizational change, or preparing your team for an AI-powered future, this episode delivers practical insights you can apply immediately. 🎯 Highlights You Won’t Want to Miss Why most change initiatives struggle with adoptionThe difference between technical change and people-focused change managementWhy communication and alignment matter during transformationCesar’s APEEE framework for leading successful changeThe biggest reasons employees resist changeHow leaders can build buy-in before implementation beginsWhy ERP and enterprise systems create complex organizational challengesHow AI is driving both automation and augmentation in business 🎧 Listen and Subscribe Spotify:https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts:https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube:https://www.youtube.com/@Imaginovation/podcasts SoundCloud:https://soundcloud.com/talesfromthepros 💡 Key Takeaways Change management starts with explaining the “why” behind the changeTechnology adoption depends on people—not just systems and trainingClear communication helps reduce resistance and confusionLeaders must address how change impacts employees directlyInnovation requires cultures that support experimentation and riskAI can free teams from low-value tasks and enable higher-value workStrong leadership depends on trust, transparency, and emotional intelligenceChange is a continuous process, not a one-time initiative 🗂 Topics We Cover Change management and organizational transformationLeadership communication and stakeholder alignmentERP, CRM, and enterprise technology adoptionEmployee resistance and change readinessThe APEEE change management frameworkAI, automation, and augmentationOrganizational culture and innovationLeadership, trust, and employee buy-in ⏱️ Chapters 00:00 — Why leading change is harder than implementing technology01:05 — Cesar’s background in enablement and change management04:30 — Early lessons from solving people challenges08:00 — ERP systems, disruption, and adoption challenges11:00 — Scope explosion, communication, and alignment13:00 — Understanding the APEEE framework16:30 — Why people resist change and how leaders create buy-in20:10 — AI, automation, and the future of organizational change

    Ep 85 - Leading Change: Turning Disruption Into Results

  5. May 20

    Ep 84 - Discovery First: How Great Digital Products Get It Right Early

    In this episode of Tales from the Pros, hosts Eric Lawrence and Zach Bruno dive into one of the most overlooked yet critical stages of product development—the discovery phase. While many founders rush straight into design and development, skipping discovery often leads to wasted budgets, overbuilt products, and solutions users never actually wanted. Zach shares insights from leading discovery for hundreds of digital products, from startups to enterprise applications, explaining why validation matters more than speed, how teams can avoid costly product mistakes, and why discovery should never be treated as “just paperwork.” The conversation explores how AI tools and rapid prototyping are changing the way teams validate ideas, why user feedback must be balanced with product vision, and how discovery creates alignment across stakeholders before a single line of code is written. If you're building a digital product, validating an MVP, or trying to avoid expensive development mistakes, this episode offers a practical breakdown of how successful teams approach product discovery in today’s AI-driven world. 🎯 Highlights You Won’t Want to Miss Why skipping discovery leads to wasted development budgetsThe biggest misconceptions founders have about product discoveryWhy validation matters more than building fastThe balance between user feedback and product visionHow AI is changing MVP development and rapid prototypingThe difference between solving your own problem vs solving a market needWhy overbuilding products hurts startupsHow discovery helps teams align before development starts 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways Discovery is about validating ideas before investing heavily in developmentGreat products solve real user problems, not just “cool ideas”Rapid prototyping helps teams gather feedback earlier and reduce riskAI tools are making MVP creation faster and more accessibleUser feedback should guide product direction, but vision still mattersStrong discovery creates alignment between stakeholders, designers, and developersOverbuilding products too early creates unnecessary complexity and costDiscovery is not a one-time step—it’s an ongoing product process 🗂 Topics We Cover Product discovery and validationMVP strategy and rapid prototypingUser feedback and product-market fitAI tools and vibe codingDiscovery workshops and stakeholder alignmentProduct planning and development strategyScalable product developmentThe future of AI-driven product discovery⏱️ Chapters 00:00 — Why skipping discovery kills products03:00 — The biggest mistakes founders make early08:00 — Validation vs building fast12:30 — User feedback and product vision17:20 — Discovery deliverables that actually matter22:00 — AI tools and rapid MVP creation28:00 — When to move from prototype to scalable product33:00 — Solving your own problem vs market needs38:00 — The future of AI-driven product discovery

    Ep 84 - Discovery First: How Great Digital Products Get It Right Early

  6. May 6

    Ep 83 - The Truth About Building Great Apps: Michael vs. Eric (Unfiltered)

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence have an unfiltered conversation about what actually makes great apps successful in today’s tech landscape. From overrated app features and startup mistakes to AI, user experience, and product strategy, the episode dives into the realities of building software that people genuinely want to use. Michael and Eric break down why many startups focus on the wrong things too early, including referral systems, rewards programs, and unnecessary features that don’t create real value for users. They also discuss the importance of user-centric product development, validating ideas through feedback, and understanding that successful apps are built around user behavior — not founder assumptions. The conversation also explores the growing role of AI in software development and workplace communication. While AI is rapidly changing how products are built and how teams operate, both hosts emphasize the importance of maintaining empathy, emotional intelligence, and authentic human connection in an increasingly automated world. Along the way, the episode touches on innovative app ideas, the unpredictability of the tech industry, choosing the right startup partners, and why building software today requires both adaptability and strong human intuition. If you're building an app, launching a startup, or trying to navigate the fast-changing world of technology and AI, this episode delivers practical lessons, honest perspectives, and real-world insights from experienced founders. Highlights You Won’t Want to Miss Why rewards and referral systems may be overused in modern appsThe importance of building products for users instead of catering to personal preferencesWhy offline functionality remains one of the most underrated app featuresHow AI is reshaping software development and workplace expectationsThe importance of balancing AI with an authentic human connectionCommon startup mistakes founders make when choosing business partnersWhy user feedback should guide every stage of app developmentHow emotional intelligence still matters in techCreative app ideas that gamify everyday experiencesWhy the tech industry often feels unpredictable and constantly evolvingListen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros Key Takeaways Great apps solve real user problems instead of chasing trendsReferral and rewards systems are not always necessary for growthUser-centric design remains one of the most important principles in software developmentAI can improve workflows, but human creativity and empathy still matterFounders should validate demand before expanding feature setsStrong business partnerships are critical for startup successSmart personalization can improve engagement without overwhelming usersTechnology should enhance human experiences, not replace them Topics We Cover App development and product strategyUser experience and customer-centric designAI in software developmentStartup mistakes and founder lessonsMobile app innovationReferral systems and rewards programsHuman-centered technologyProduct validation and user feedbackThe future of AI in the workplaceThe realities of the tech industry Chapters 00:00 Introduction to App Development Insights03:10 Overrated Features in App Development06:17 Essential Features Apps Should Have08:43 The Buzzwords of Tech11:08 AI's Role in Software Development13:44 The Human Element in Tech22:31 The Rise of AI and Human Innovation25:14 Navigating AI's Impact on Human Skills26:01 Common Startup Mistakes: Choosing Partners Wisely29:01 User-Centric Product Development32:46 Fun App Ideas: Gamifying Everyday Tasks39:26 The Tech Industry: A Roller Coaster Ride43:52 Episode Wrap-Up

    Ep 83 - The Truth About Building Great Apps: Michael vs. Eric (Unfiltered)

  7. Apr 22

    Ep 82 — Fixing Software Code Is Too Slow. Can AI Save Us?

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence are joined by Gal Vered, co-founder and CEO of Checksum AI, to break down one of the biggest bottlenecks in modern software development—fixing bugs and ensuring code quality in an AI-driven world. AI can now generate software faster than ever. You can build features, ship MVPs, and even spin up entire applications in minutes. But speed introduces a new problem. How do you verify that the code actually works? And more importantly, how do you trust it in production? The conversation cuts through the hype around AI coding and focuses on what really matters. Quality, testing, and verification. Gal shares insights from his experience at Google and building Checksum AI, explaining why most teams get stuck in endless bug-fixing loops, how AI can compound bad code patterns, and why strong testing systems are the only way to enable truly autonomous software development. If you're building software with AI, struggling with bugs, or trying to scale beyond MVP without breaking everything, this episode gives a practical look at what it actually takes to ship reliable software today. 🎯 Highlights You Won’t Want to Miss Why AI-generated code often fails in productionThe real bottleneck in software development todayHow bug-fixing loops slow down engineering teamsWhy speed without verification creates bigger problemsThe role of testing in enabling autonomous AI developersHow bad code patterns compound with AIThe difference between code that works locally and production-ready codeWhy engineers still matter in an AI-driven workflow 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways AI can generate code quickly, but quality and verification remain major challengesWithout proper testing, AI-generated code often leads to bugs and technical debtFixing bugs after deployment is significantly more time-consuming than building featuresStrong testing pipelines are critical for scaling AI-driven developmentAI can amplify both good and bad coding patterns within a codebaseDevelopers still play a key role in guiding, reviewing, and validating AI-generated codeConfidence in code is just as important as finding bugsThe future of software development depends on automated, continuous verification systems 🗂 Topics We Cover AI-generated code and its limitationsBug-fixing loops and technical debtTesting and verification in modern software developmentAI agents and autonomous engineeringVibe coding and rapid MVP creationCode quality vs development speedHuman vs AI roles in software engineeringThe future of software testing and simulation⏱️ Chapters 00:00 The hidden bottleneck in software development 05:10 AI-generated code vs real-world reliability 11:30 Why testing is the missing layer in AI coding 18:40 Escaping the bug-fixing loop 26:00 AI hype vs enterprise reality 33:20 Code quality, edge cases, and human thinking 40:00 The future of software testing and AI engineering

    Ep 82 — Fixing Software Code Is Too Slow. Can AI Save Us?

  8. Apr 9

    Ep 81 - How To Make Your Operations Flow With AI

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence are joined by Imaginovation’s co-founder and Head of Technology, Pete Peranzo, to break down how AI is actually impacting business operations and when it truly makes sense to implement it. AI is everywhere right now, but not every company needs it. Not every workflow benefits from it. And in some cases, adding AI can actually make things worse. The conversation cuts through the hype and focuses on what matters most. Understanding your processes, identifying real inefficiencies, and knowing when automation or AI will actually create value. The team explores how businesses should evaluate their operations before jumping into AI, why fixing broken processes matters more than adding new technology, and how companies can start small with practical use cases. They also discuss the rise of vibe coding tools, AI-generated MVPs, operational audits, and the growing gap between experimentation and building scalable systems. If you're trying to improve efficiency, reduce manual work, or understand where AI fits into your operations, this episode offers a grounded, practical perspective on how to approach it the right way. 🎯 Highlights You Won’t Want to Miss Why not every business process should use AIThe biggest mistake companies make when adopting automationHow broken workflows get worse when AI is added too earlyThe difference between automation and generative AIWhy fixing processes matters before implementing AIHow vibe coding tools are changing product developmentWhere AI helps most in business operations todayWhy human expertise is still critical for scalable systems 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZApple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192YouTube: https://www.youtube.com/@Imaginovation/podcastsSoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways AI should be applied after processes are optimized, not beforeAutomation does not always require AI, and simpler solutions may be betterGenerative AI is powerful for rapid prototyping, but it has scalability limitationsBusinesses should audit operations before investing in AI initiativesAI tools are improving quickly, but still require human guidance and expertiseOperational efficiency gains come from targeting repetitive manual tasksAI adoption should focus on measurable business value, not hypeEarly AI implementation can compound benefits as models improve over time 🗂 Topics We Cover When AI actually makes sense in business operationsProcess optimization before automationAutomation vs generative AI vs agentic AIVibe coding tools and rapid MVP creationLimitations of AI-built applicationsOperational audits and identifying inefficienciesAI readiness and infrastructure considerationsThe future of AI in business workflows ⏱️ Chapters 00:00 AI in business operations and cutting through the hype05:15 Fixing processes before adding AI09:05 Generative AI tools and rapid MVP creation17:40 Breaking the barrier to AI adoption in businesses24:05 Risks, trends, and the future of AI in operations32:00 AI operational audit tool walkthrough37:30 Final thoughts on implementing AI responsibly

    Ep 81 - How To Make Your Operations Flow With AI
See All (89)

5
out of 5
40 Ratings

About

Tales from the PROS is hosted by Michael Georgiou, Co-Founder, and Eric Lawrence, Director of Growth at Imaginovation, an award-winning app and software development company. Each episode dives into honest, unscripted conversations, hard-earned lessons, and educational insight into how to help bridge the gap between technology and people. If you’re a founder, exec, or innovator trying to navigate the tech world without getting burned, this podcast is your no-BS roadmap. Through real talk, personal stories, and insights from the front lines, you’ll pick up smarter ways to build software, steer clear of common mistakes, and choose the right partners in a crowded, often confusing space. Whether you’re scaling a startup, driving digital change at a larger company, or just love keeping up with tech innovation, Tales from the PROS brings you straight-shooting advice and inspiration without the fluff.

Information

  • Creator
    Michael Georgiou: Imaginovation, Co-founder, Tech Entrepreneur, Podcaster, Influencer
  • Years Active
    2018 - 2026
  • Episodes
    89
  • Rating
    Explicit
  • Copyright
    © Imaginovation, LLC
  • Show Website
    Tales From The PROS