
Sign up to save your podcasts
Or


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:
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
Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/
#AI #Startups #Microsoft #ProductMarketFit #FounderLessons #EnterpriseAI #VentureCapital
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
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.
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:
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:
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.
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:
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
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
Book recommendations
Connect & follow
Follow Inside the Silicon Mind for conversations with founders, CEOs, and investors shaping the future of business and technology.
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:
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
We Cover:
Who This Is For:
Founders, operators, investors, and creators interested in:
Key Topics:
Technologies and Concepts Mentioned:
Book Recommendations:
Related Episodes:
Culture & Systems → Why Snowflake Won (Justin Fitzhugh)
Strategy & Decision Making → Arvind Sodhani
Signal vs Noise in Hiring → Joseph Doyle
Distribution & Market Shifts → Anthony Lye
Links and Resources:
Spotify: https://bit.ly/spotify-itsm
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.
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 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:
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:
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
Who this is for:
Founders, operators, investors, and technical leaders building AI products or deploying enterprise AI in sensitive environments.
Key Topics:
• confidential AI
Technologies and Concepts Mentioned:
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
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.
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
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
Who this is for
Links and Resources
Mentioned in This Episode
About the Show
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:
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:
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.
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
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
Who this is for
Links and Resources
Mentioned in This Episode
About the Show
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
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
Who this is for:
Links and Resources
Book Recommendations from this episode:
About the Show
From the publisher's feed