Inside The Silicon Mind

Inside The Silicon Mind

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Inside The Silicon Mind episodes

  • He's Seen This Bubble Before. It Ended Badly.

    Mike Kropp built products at Microsoft and AWS that scaled to millions. Now at Iridius, he's creating AI for highly regulated industries - and warns most AI startups face an extinction event.

    Discover:

    • Why apps/bots get copied while platforms with moats survive
    • Microsoft's "customer connected development" (17K developers giving weekly feedback)
    • Discipline that separates Microsoft/AWS winners from startup failures
    • Why enterprises reject non-deterministic AI
    • How founders must set the pace - or lose their team
    • Timestamps:

      00:00 - "Mass extinction event coming for AI startups"

      02:30 - How Microsoft nailed product-market fit at scale

      09:00 - Discipline vs impatience in enterprise vs startups

      15:00 - The compliance crisis blocking enterprise AI

      25:00 - "Founders set pace. Team rises - or leaves"

       

      Book recommendation: Quantum Supremacy, by Michio Kaku

      About Mike Kropp: Microsoft patterns & practices leader, AWS product builder, Iridius CEO (AI for regulated industries)

      Video version: https://www.youtube.com/@InsideTheSiliconMind

      Website: https://insidethesiliconmind.com/

      Follow & Subscribe:

      Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/


      Don’t forget to subscribe to the podcast for more conversations with founders, operators, and investors shaping the future of technology.

      #AI #Startups #Microsoft #ProductMarketFit #FounderLessons #EnterpriseAI #VentureCapital

      30 min
    • He Sold Software to Microsoft for $50K - It Became a $1T Company

      They sold their software to Microsoft for $50,000.

      It helped create a trillion-dollar company.

      In this episode of Inside the Silicon Mind, Jim Harding - who worked on one of the earliest PC operating systems later acquired by Microsoft - shares what really happened during one of the most important moments in technology history.

      But this isn’t just a story about the past.

      It’s about how inflection points actually work - and why most people miss them while they’re happening.

      From the rise of the IBM PC to today’s shift toward AI and autonomy, Jim explains why the next wave isn’t about better prompts - it’s about autonomous systems, platform dynamics, and a completely new layer of the internet.

       

      Key Topics:

      - The real story behind the MS-DOS / IBM deal

      - What an inflection point actually is
      - Why most companies miss major shifts
      - Platform strategy vs product innovation
      - AI vs autonomy - what’s actually changing
      - The idea of “Layer 8” of the internet

       

      Why This Matters:

      Every major technology shift rewrites the rules.

      But the biggest opportunities go to the people who understand what’s changing early - and act differently because of it.

      We are entering another one of those moments now.

       

      In This Episode:

      00:00 Intro

      01:05 What an inflection point really is

      03:10 How Microsoft won the IBM deal

      06:46 Why others missed the opportunity

      08:29 Platform strategy & ecosystems

      12:46 The disk that changed everything

      18:41 Why autonomy is bigger than AI

      22:25 The 3 shifts behind autonomy

      24:35 “Layer 8” explained

      28:41 Nature & resilient systems

      32:10 Rethinking business strategy

      35:00 Final thoughts

       

      About the Guest:

      Jim Harding is a technology pioneer who played a role in the early days of personal computing, working on software that became foundational to the IBM PC ecosystem and Microsoft’s rise. He has spent decades building and scaling technology companies across multiple industry shifts.

       

      About the Show:

      Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

       

      Links and Resources:

      Spotify: https://bit.ly/spotify-itsm

      Apple Podcasts: https://bit.ly/apple-itsm

      Website: https://insidethesiliconmind.com/

      Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

       

      Follow & Subscribe:

      Don’t forget to follow the podcast for more conversations with founders, operators, and investors shaping the future of technology.

       

       

      36 min
    • From Nuclear Weapons Lab to AI Cybersecurity: Why Every Breach Has a Warning

      Every cybersecurity breach has a warning.

      The problem is - nobody sees it in time.

      Monzy Merza spent 12 years as an applied security researcher in a nuclear weapons lab before going on to lead teams at Splunk, Databricks, and HSBC.

      In this episode, he shares the moment that changed everything - when he realised the industry had been ignoring what customers were saying for years:

      “We’re never going to put all our data in one place.”

      That insight led him to leave his executive role, become an operator, and build Crogl - an AI system designed to investigate every alert so nothing gets missed.

       

      Key topics:

      • Founder–market fit explained
      • Why most founders misunderstand customer problems
      • The reality of cybersecurity operations
      • Why 399 out of 400 alerts don’t matter
      • How AI is transforming security teams
      • Turning weeks of analysis into minutes
      •  

        Why this matters:

        The biggest risks in cybersecurity aren’t hidden - they’re missed.

        Understanding how real problems are discovered, validated, and solved is critical not just for security leaders, but for founders, operators, and investors building in complex markets.

         

        In this episode:

        • 00:00 Why listening to customers is harder than it sounds
        • 06:22 What founder–market fit actually means
        • 12:14 The problem Crogl solves
        • 14:42 The aha moment on a Databricks customer call
        • 18:01 Leaving an exec role to become an operator at HSBC
        • 24:52 Why being an operator first changes everything
        • 27:28 400 alerts a day: the barbell effect of cybersecurity
        • 30:38 How Crogl turns analysts into heroes
        • 34:45 The long-term vision for Crogl
        •  

          About the guest:

          Monzy Merza is the founder and CEO of Crogl. Previously, he spent a decade at Splunk, served as an executive at Databricks, and worked as a security operator at HSBC - all after 12 years as an applied security researcher in the U.S. nuclear weapons complex.

           

          About the podcast:

          Inside the Silicon Mind explores how founders, investors, and operators think - unpacking the decisions, insights, and patterns behind building in Silicon Valley and beyond.

          Stay curious. Stay consistent. Stay Inside the Silicon Mind.

           

          Follow & Subscribe:

          Don’t forget to follow the podcast for more conversations with founders, operators, and investors shaping the future of technology.

           

          36 min
        • Venture Capital vs Private Equity: How Value Is Really Created

          Most people think venture capital and private equity are simply different stages of investing.

          In reality, they are fundamentally different approaches to building and scaling companies.

          In this episode of Inside the Silicon Mind, Firas Sozan sits down with Evan Silberhorn to unpack how value is actually created across both models - and why understanding this matters more than ever in today’s AI-driven landscape.

           

          What you’ll learn:

          • The core differences between venture capital and private equity
          • Why venture capital prioritises growth, while private equity focuses on efficiency
          • How private equity firms create value through structured execution
          • What a value creation plan is and how it shapes company strategy
          • The realities of operating under private equity ownership
          • How AI is influencing capital deployment, hiring, and valuations
          • Why today’s AI market may not be sustainable long-term
          • The differences between East Coast and West Coast investing cultures
          • The types of support founders receive from VC vs private equity
          •  

            About the guest:

            Evan Silberhorn has built his career across product, consulting, startups, and private equity.

            From co-founding a data-driven startup to working within BCG Digital Ventures and private equity portfolio operations, Evan brings a unique perspective on how companies are built, scaled, and optimised for value.

             

            Key takeaway

            • Venture capital chases growth.
            • Private equity engineers outcomes.
            • Understanding when and how each model applies can define the trajectory of a company.

               

              Why This Episode Matters

              Most conversations about capital focus on funding.

              This episode focuses on value creation - and how different investment models fundamentally shape how companies are built, scaled, and operated.

               

              Who This Episode Is For

              • founders raising capital
              • operators scaling companies
              • investors comparing VC and private equity
              • professionals navigating AI-driven markets
              •  

                Book recommendations

                • The Lean Product Playbook - Dan Olsen
                • Breaking the Habit of Being Yourself - Joe Dispenza
                •  

                  Connect & follow

                  Follow Inside the Silicon Mind for conversations with founders, CEOs, and investors shaping the future of business and technology.

                  41 min
                • Why Hollywood And Silicon Valley Think Completely Differently

                  Sandy Climan, media executive, investor, and CEO of Entertainment Media Ventures, joins Firas Sozan to break down the intersection of Hollywood, Silicon Valley, and the future of storytelling.

                  From early meetings with Bill Gates and Steve Ballmer to today’s AI-driven media landscape, Sandy shares why technology and entertainment have historically misunderstood each other - and what’s changing now.

                   

                  Quote from the Episode:

                  “Audiences are becoming communities.”

                  – Sandy Climan

                   

                  Key Insight:

                  The future of media is not about mass audiences - it’s about building engaged communities that shape, distribute, and monetise content together.

                   

                  Episode Description:

                  Silicon Valley and Hollywood have been trying to merge for decades.

                  Sometimes successfully.

                  Often unsuccessfully.

                  In this episode, Sandy Climan explains why the two industries operate so differently - from Silicon Valley’s product-driven mindset to Hollywood’s relationship-first culture.

                  As AI, streaming platforms, and global distribution reshape media, those differences are beginning to collapse.

                  Sandy shares how storytelling, community, and technology are converging into a new model where:

                  • audiences become communities
                  • data replaces traditional marketing
                  • and platforms control distribution at scale
                  • The conversation also explores how consumer behaviour is shifting - from long-form storytelling to fragmented consumption - and what that means for creators, founders, and investors building in this space.

                     

                    We Also Explore:

                    Hollywood vs Silicon Valley: relationships vs product

                    The failure of early tech + media convergence (CD-ROM era)
                    Why streaming changed global storytelling
                    How AI will impact creativity and content production
                    The rise of community-driven media platforms
                    Why distribution often matters more than product
                    The generational shift in how content is consumed
                    The future of creators, studios, and global audiences

                     

                    We Cover:

                    • Why Hollywood runs on relationships before transactions
                    • What Silicon Valley misunderstood about media
                    • How audiences are becoming communities
                    • Why data and analytics are replacing traditional marketing
                    • The shift from mass distribution to targeted communities
                    • How AI will shape the future of storytelling
                    • The importance of listening to customers and audiences
                    • Why great creators and founders are fundamentally similar
                    •  

                      Who This Is For:

                      Founders, operators, investors, and creators interested in:

                      • media and entertainment
                      • AI and content creation
                      • platform strategy
                      • storytelling and audience building
                      • the future of Silicon Valley
                      •  

                        Key Topics:

                        • media convergence
                        • Hollywood vs Silicon Valley
                        • community-driven platforms
                        • future of storytelling
                        • AI in media
                        • streaming platforms
                        • content distribution
                        • consumer behaviour
                        •  

                          Technologies and Concepts Mentioned:

                          • AI and machine learning
                          • streaming platforms (Netflix, global distribution)
                          • data analytics
                          • algorithmic platforms
                          • community-driven media models
                          • venture capital in media
                          • consumer behaviour shifts
                          •  

                            Book Recommendations:


                            Running in Place, by James Andrew Miller
                            Live from New York, by James Andrew Miller
                            Power House, by James Andrew Miller
                            Those Guys Have All the Fun, by James Andrew Miller
                            Tinder Box, by James Andrew Miller
                            The Greatest Sentence Ever Written, by Walter Isaacson
                            The Prophet, by Kahlil Gibran

                             

                            Related Episodes:

                            Culture & Systems → Why Snowflake Won (Justin Fitzhugh)

                            https://insidethesiliconmind.com/why-snowflake-won-culture-security-and-customer-obsession-justin-fitzhugh-ep-20/

                            Strategy & Decision Making → Arvind Sodhani

                            https://insidethesiliconmind.com/what-great-founders-understand-about-risk-teams-and-timing-arvind-sodhani-ep-21/

                            Signal vs Noise in Hiring → Joseph Doyle

                            https://insidethesiliconmind.com/ai-recruiting-with-joseph-doyle-how-to-hire-engineers-for-potential-not-noise-ep-22/

                            Distribution & Market Shifts → Anthony Lye

                            https://insidethesiliconmind.com/anthony-lye-why-ai-will-crush-complacent-saas-businesses-how-silicon-valley-winners-stay-ahead-ep-28/

                             

                            Links and Resources:

                            Spotify: https://bit.ly/spotify-itsm

                            Apple Podcasts: https://bit.ly/apple-itsm
                            Website: https://insidethesiliconmind.com/
                            Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

                             

                            About the Show:

                            Inside the Silicon Mind is your masterclass in high-stakes innovation, business strategy, and the Silicon Valley mindset.

                            Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.


                            56 min
                          • AI Has a Trust Problem & Confidential AI is here to Fix it

                            Aaron Fulkerson, CEO of Opaque Systems, joins Firas Sozan to break down confidential AI, enterprise data security, and the future of trusted AI infrastructure. As companies deploy AI across sensitive data, new technologies like confidential computing and confidential RAG are becoming essential for secure enterprise adoption.

                            In this conversation, Aaron explains how confidential AI works, why runtime verifiability matters, and what founders must understand about trust, privacy, and human agency in an AI-driven economy.

                             

                            Quote from the Episode:

                            “Every major platform shift requires a new trust layer.”

                            – Aaron Fulkerson

                             

                            Key Insight:

                            Confidential AI will become the security foundation for enterprise AI systems.

                             

                            Episode Description:

                            Trust is no longer a soft concept in technology.

                            In the age of AI agents, it is becoming a core infrastructure challenge.

                            In this episode, Aaron Fulkerson explains why every major platform shift requires a trust layer upgrade, and why enterprise AI adoption now depends on stronger guarantees around:

                            • data privacy
                            • policy enforcement
                            • runtime verifiability
                            • Aaron breaks down how Opaque Systems enables confidential AI, including confidential RAG workflows that allow enterprises to use sensitive legal, HR, finance, and customer data without exposing it in the clear.

                               

                              We also explore:

                              • Metadata leakage and hidden competitive risk
                              • Cryptographic proof and confidential computing
                              • Performance trade-offs in secure AI inference
                              • Model poisoning and hidden agendas in AI systems
                              • The founder mindset required to build high-trust teams
                              • If you are building enterprise AI platforms, AI agents, or data-sensitive applications, this episode provides a practical look at the future of secure AI infrastructure.

                                 

                                We cover:

                                • Why enterprise AI adoption requires confidential computing

                                • How confidential RAG protects sensitive organizational data
                                • The hidden risk of metadata leakage in AI systems
                                • What runtime verifiability means before, during, and after inference
                                • The three pillars of trust: caring, consistency, and competency
                                • Why AI increases the need for human connection, not lessens it

                                 

                                Who this is for:

                                Founders, operators, investors, and technical leaders building AI products or deploying enterprise AI in sensitive environments.

                                 

                                Key Topics:

                                • confidential AI

                                • confidential computing
                                • enterprise AI security
                                • confidential RAG
                                • runtime verifiability
                                • AI trust infrastructure
                                • secure AI inference

                                 

                                Technologies and Concepts Mentioned:

                                • Confidential AI
                                • Confidential RAG
                                • Confidential Computing
                                • OpenAI
                                • Anthropic
                                • Apple Private Cloud Compute
                                • Kubernetes
                                • H100 GPUs
                                • GDPR
                                • HIPAA
                                • Traction
                                • The Master Switch, Tim Wu
                                •  

                                  Related Episodes:

                                  Why AI Is Breaking Our Trust - Gidi Cohen

                                  https://insidethesiliconmind.com/why-ai-is-breaking-our-trust-and-how-to-fix-it-gidi-cohen-ep-19/

                                  What Happens When AI Moves Into Production - Rob Bearden

                                  https://insidethesiliconmind.com/this-is-what-happens-when-ai-finally-moves-into-real-world-production-rob-bearden-ep-16/

                                  AI Agents: What Actually Matters | Leonid Igolnik

                                  https://insidethesiliconmind.com/ai-agents-best-practices-what-actually-matters-intent-testing-context-with-leonid-igolnik/

                                  AI Recruiting: Hiring Engineers for Potential | Joseph Doyle

                                  https://insidethesiliconmind.com/ai-recruiting-with-joseph-doyle-how-to-hire-engineers-for-potential-not-noise-ep-22/

                                   

                                  Links and Resources:

                                  Spotify: https://bit.ly/spotify-itsm

                                  Apple Podcasts: https://bit.ly/apple-itsm
                                  Website: https://insidethesiliconmind.com/
                                  Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

                                   

                                  About the Show:

                                  Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

                                   

                                  58 min
                                • Will The Role of a Recruiter Change Forever?

                                  David Paffenholz, Co-Founder of Juicebox, shares how AI recruiting software is reshaping talent acquisition, why speed and quality can now coexist, and what founders should know about product led growth and fundraising.

                                   

                                  Episode Description

                                  Recruiting is becoming one of the most competitive markets in the modern economy. In this episode, David Paffenholz explains why AI recruiting software is positioned to redefine how companies source and engage talent.

                                   

                                  We explore how Juicebox evolved from a talent marketplace into an LLM powered search platform that evaluates every candidate profile in natural language. David breaks down how improving signal to noise in sourcing gives recruiters a measurable advantage, why product led growth works in HR tech, and how competing with LinkedIn is about workflow rather than replacing the database.

                                   

                                  We also go inside the founder journey, from Y Combinator to raising over 30 million, the emotional reality of resetting revenue to zero during a pivot, and what it takes to build in Silicon Valley. This episode is both a masterclass in recruiting technology and a candid look at startup resilience.

                                   

                                  We cover

                                  • Why recruiting is a zero sum market where speed matters
                                  • How LLM powered search improves sourcing quality
                                  • Product led growth versus traditional enterprise HR sales
                                  • Lessons from raising seed and Series A capital
                                  • The future of AI in recruiting and human relationships

                                   

                                  Who this is for

                                  Founders, recruiters, operators, and investors who want to understand how AI is changing talent acquisition and startup building.

                                   

                                  Links and Resources

                                  Spotify: https://bit.ly/spotify-itsm
                                  Apple Podcasts: https://bit.ly/apple-itsm
                                  Website: https://insidethesiliconmind.com/
                                  Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

                                   

                                  Mentioned in This Episode

                                  • Chip War by Chris Miller

                                   

                                  About the Show

                                  Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

                                  50 min
                                • Why Complacent SaaS Companies Will Lose the AI Race

                                  Anthony Lye, Chief Executive Officer (CEO) and Chairman of the Board at Quid, joins Firas Sozan to break down Silicon Valley disruption cycles and why AI is reshaping SaaS and services. You will learn how incumbents get blindsided, why distribution often beats pure technology, and how leaders build systems to test, adjust, and challenge assumptions fast.

                                   

                                  Episode Description:

                                  In Silicon Valley, success is rented, and the rent is due every day. Anthony shares a 30 year perspective on tech cycles, the mindset that helps founders survive disruption, and why staying current is non negotiable.

                                  We unpack why markets are resegmented, not created, and why the biggest shifts often come from distribution changes, not a magical new invention. From Netflix vs Blockbuster to Dell selling direct, Anthony explains how incumbents get trapped by legacy channels, incentives, and complacency.

                                  Then we go straight into AI. Why AI flips enterprise software from tabs and workflows into outcomes, why agents change the economics of work, and why “software as labor” blurs the line between software and services. If you are building, investing, or operating in tech, this is your playbook for thinking outside in.

                                   

                                  We cover:

                                  • Why disruption creates winners and losers, and why markets rarely have free money
                                  • How to stay current, test hypotheses, and avoid complacency
                                  • Netflix vs Blockbuster, technology plus distribution plus self disruption
                                  • Dell and the power of selling direct
                                  • Why AI changes SaaS, UX, and the move from tools to outcomes
                                  • Why services companies will be forced to become software companies
                                  •  

                                    Who this is for:

                                    Founders, operators, investors, and tech leaders who want a practical lens on disruption, AI, and how to keep winning through change.

                                     

                                    Links and Resources:

                                    Spotify: https://bit.ly/spotify-itsm

                                    Apple Podcasts: https://bit.ly/apple-itsm

                                    Amazon Music: https://bit.ly/amazon-itsm

                                    Website: https://insidethesiliconmind.com/

                                    Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

                                     

                                    Mentioned in This Episode:

                                    • The Button That Changed the World, Bob Goodson
                                    • Crossing the Chasm, Geoffrey Moore
                                    • Inside the Tornado, Geoffrey Moore
                                    • The Innovator’s Dilemma, Clayton Christensen
                                    • The Tipping Point, Malcolm Gladwell
                                    • “Software Eating the World” article, Marc Andreessen
                                    • Discontinuity theory
                                    • Chaos Monkey theory
                                    •  

                                      About the Show:

                                      Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

                                      52 min
                                    • Startup Advice: Founder-Friendly VC Lessons & the AI Data Shift

                                      In this episode, Vaibhav Nadgauda, Chief Executive Officer (CEO) of App Orchid, Inc., shares an operator to venture capital journey, how they built a founder friendly investing approach, and what changed when they stepped in as CEO after a founder’s passing. You will learn how VC fundraising works at the fund level, how to think about pivots and team quality, and why the enterprise AI wave is forcing a rethink of the data stack.

                                       

                                      Episode Description

                                      What does founder friendly venture capital actually look like in practice, especially when the investor has lived the operator journey?

                                       

                                      In this conversation, we break down the shift from building and exiting companies to raising a first fund, evolving the LP base over time, and learning the mental model change from operator problem solving to investor portfolio focus.

                                       

                                      We also go deep on enterprise AI and data strategy, including why semantic layers, ontologies, and knowledge graphs are becoming critical for interacting with siloed enterprise data. If you are navigating venture capital fundraising, B2B software, product market fit, or go to market focus, this episode offers concrete lessons that translate.

                                       

                                      We cover

                                      • Why teams beat the original pitch, and why pivots are normal
                                      • How LP trust is built, and what changes from fund one to fund three
                                      • The investor mindset shift, backing winners and allocating attention
                                      • Conviction vs delusion, and how to process customer feedback
                                      • Enterprise AI readiness, semantic layers, ontologies, and knowledge graphs
                                      • Seeing around the corner, why experience changes pattern recognition

                                       

                                      Who this is for

                                      Founders, operators, and investors who want a sharper framework for VC fundraising, B2B investing, and the enterprise AI data shift.

                                       

                                      Links and Resources

                                      Spotify: https://bit.ly/spotify-itsm
                                      Apple Podcasts: https://bit.ly/apple-itsm
                                      Website: https://insidethesiliconmind.com/
                                      Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

                                       

                                      Mentioned in This Episode

                                      • Until the End of Time, Brian Greene
                                      • Our Mathematical Universe, Max Tegmark
                                      • Only the Paranoid Survive
                                      • The Innovator’s Dilemma
                                      • ChatGPT
                                      • Knowledge graphs
                                      • Ontologies and semantic layers
                                      • Salesforce
                                      • SAP
                                      • Snowflake

                                       

                                      About the Show

                                      Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

                                      41 min
                                    • Shift Left FinOps, Predict Cloud Costs Before You Ship Code

                                      Hassan Khajeh-Hosseini, the founder of Infracost, joins Firas Sozan to break down shift left FinOps, cloud cost prevention, and how engineers can understand cloud spend before code reaches production.

                                       

                                      Episode Description

                                      Cloud cost optimization is still a mess, not because teams do not care, but because most tools start from the bill. By the time you see spend in a dashboard, the code is already in production and the waste is already happening.

                                       

                                      In this episode, Hassan Khajeh-Hosseini, the founder of Infracost, explains shift left FinOps, a practical approach that runs cost simulations inside engineering workflows so teams can predict cloud costs before shipping. You will hear why cloud pricing exploded into millions of price points across AWS, Azure, and Google Cloud, how enterprise cloud spend can reach hundreds of millions per year, and where cost waste hides in day to day infrastructure decisions.

                                       

                                      We also cover the founder side, fundraising signals, why inbound distribution matters, how a failed startup taught a hard lesson about hiring rare talent, and why product market fit is a moving target that can feel scary when it hits.

                                       

                                      We cover

                                      • Why traditional FinOps starts too late, after spend is incurred
                                      • How to simulate cloud costs from infrastructure as code before deploys
                                      • The $550,000 per month change that got stopped in review
                                      • ICP personas, engineers, platform teams, FinOps, and engineering leadership
                                      • Distribution pull vs push, and why it changes GTM economics
                                      • Fundraising, story, network, and early usage metrics that matter

                                       

                                      Who this is for:

                                      Founders, operators, and tech leaders who want practical ways to prevent cloud waste and build stronger FinOps and platform engineering practices.

                                       

                                      Links and Resources

                                      Spotify: https://bit.ly/spotify-itsm
                                      Apple Podcasts: https://bit.ly/apple-itsm
                                      Website: https://insidethesiliconmind.com/
                                      Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

                                       

                                      Book Recommendations from this episode:

                                      • Steve Jobs, by Walter Isaacson
                                      • The Count of Monte Cristo, by Alexandre Dumas
                                      • Acquired podcast
                                      • Heavyweight podcast
                                      • Secrets of Sand Hill Road, by Scott Kupor

                                       

                                      About the Show

                                      Inside the Silicon Mind is your masterclass in high-stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

                                      1 hr 6 min

                                    About Inside The Silicon Mind

                                    From the publisher's feed

                                    Inside the Silicon Mind, hosted by Firas Sozan covers the technology changing our world and what it takes to build something with it.