Builders

In this episode, I sit down with Alain Bejjani, former Group CEO of Majid Al Futtaim, one of the largest conglomerates in the Middle East operating multi-billion dollar businesses across retail, real estate, and entertainment.We break down what actually happens when companies scale — and why most leaders unknowingly become the biggest bottleneck in their own organization.This is not theory. This is how leadership, decision-making, culture, and power really work inside a $10B+ company.We cover:

• Why founders and executives become bottlenecks
• The real role of leadership vs governance
• Centralization vs decentralization (and when each fails)
• Why office politics are unavoidable
• How great CEOs think about talent, performance, and potential
• What actually destroys large companies

If you're a founder, product leader, or operator — this will change how you think about leadership.⏱️ Chapters00:00 – Intro: Leading at $10B scale01:00 – Startups vs conglomerates: what really changes04:30 – The leadership bottleneck problem07:30 – “Your business is not your baby”10:30 – Incentives: salary vs equity13:15 – The reality of office politics15:10 – Centralization vs empowerment20:20 – How CEOs allocate capital29:20 – Hiring, promotion & CEO judgment32:45 – What destroys companies

Join me on this episode of Future Money as I sit down with Gaurav Dhar, Group CEO of Marshall Fintech Partners and early backer of Tabby—MENA’s first fintech unicorn. We dive into how he transformed a 40-year family payments business into a regional tech powerhouse across 18 countries, why Dubai’s rise to global fintech hub has also made it a target for fraud, and his bold predictions on AI “cannibalizing” entire industries. Whether you’re a founder, investor, or tech enthusiast, you’ll walk away with actionable insights on building unfair advantages, spotting emerging trends 6-12 months early, and navigating the next wave of disruption.🔑 Key Takeaways & SEO Keywords:- Fintech ecosystem in MENA- Family business transformation- AI disruption in finance- Angel investing & Tabby insights- Dubai as a global tech hub👍 Enjoyed this deep dive?• Smash that Like button• Subscribe for weekly expert interviews• Drop your questions in the Comments• Connect with Gaurav on LinkedIn: https://www.linkedin.com/in/gaurav-dhar00:00 Intro & Welcome 01:05 Who Is Gaurav Dhar & His Fintech Journey 04:20 Origins: Marshall Fintech Partners in the ’80s 08:15 Transforming a Legacy Family Business 12:30 Scaling Across 18 Countries 16:10 Dubai’s Evolution into a Global Fintech Hub 19:45 Why Fraud Is Now a Major Threat 23:20 Angel Investing 600+ Startups 27:50 Early Lessons from Tabby’s Unicorn Path 32:10 How to Spot 6-Month Market Leads 35:30 Predictions: M&A Trends Next 3–5 Years 38:45 The Future of Fintech Layers by Industry 42:10 AI Cannibalizing Entire Industries 45:50 Building an Unfair Advantage in Fintech 49:05 How to Get Involved with Angel Spark & Mina Fintech 52:15 Closing Thoughts & Next Steps

In this episode, I sit down with Samer ElSahn, a product and scaling leader who has worked inside some of the region’s most influential companies: Souq, Careem, Nana, and Floward.Samer shares hard-earned lessons from scaling startups across the Middle East — and why many companies don’t fail… they simply stall.Subscribe my newsletter: https://www.mahmoudkhodor.comSamer ElSahn's Linkedin: https://www.linkedin.com/in/samerelsahn/We discuss:• Why scaling startups in MENA is harder than it looks• The hidden difference between product-market fit and scale• Why growth suddenly disappears after early traction• The one core problem behind most startup struggles• Why founders often solve symptoms instead of root causes• How companies like Careem and Souq scaled operationally• Why most teams that build a startup can’t scale itIf you're a founder, product leader, or operator, this conversation will change how you think about growth, teams, and scaling companies.Chapters0:00 Intro1:00 Why Most Startups Never Truly Scale3:00 Early Adopters vs Mass Market6:00 The Real Reason Startup Growth Disappears10:30 Lessons from Scaling Careem16:30 How Souq Built the E-commerce Playbook25:00 The Theory of Constraints for Startups33:30 Builder vs Scaler Mindset41:40 Why Process Makes Teams Faster52:30 Why MENA Startups Struggle to Scale57:30 The One Thing Founders Must Fix Before Scaling

Very few people on the planet have built products used by 2+ billion people. Today’s guest is Uri Levine — co-founder of Waze (acquired by Google) and early founder of Moovit (acquired for $1B+), and the author of “Fall in Love with the Problem, Not the Solution.”In this episode, Uri breaks down the real mechanics behind breakout products—starting with the problem, not the tech. We go deep on:- The real “Eureka moment” that led to Waze (and why traffic was only the trigger)-Why certainty (ETA accuracy) beat “saving time” as the true value prop- How to validate a problem properly (including the “talk to 100 people” rule)- Why retention is the only real metric of product-market fit- The leadership decisions that separate companies that scale from those that stall- - Why simplicity wins—and how great products become “embarrassingly simple”Quick note: you may notice my voice is a bit hoarse in this episode—I was losing my voice that day, but I didn’t want to miss the opportunity to sit down with Uri. Thank you for bearing with me.If you’re a founder, product manager, or builder, this conversation is a masterclass.Subscribe to my newsletter: https://www.mahmoudkhodor.comUri's LinkedIn: https://www.linkedin.com/in/uri-levine/Uri's book: https://urilevine.com/book/Concise Chapters / Timeline00:00 – The traffic moment that sparked Waze01:25 – Why founders start: emotional problems, not ideas03:00 – From idea to company: how Waze really began05:00 – Crowdsourcing as a moat (and how trust was built)07:30 – The real value of Waze: certainty over speed09:00 – How to validate a problem before building12:00 – “Fall in love with the problem, not the solution”18:00 – Startups are a journey of failure (and iteration)23:30 – Leadership lessons: hiring, firing, and hard decisions31:45 – Product-market fit explained: retention is the metric44:00 – Simplicity wins: why fewer features beat better tech58:45 – When startups die: scaling before the product is ready01:09:20 – Acquisition lessons: what success actually feels like01:12:10 – Final principles: good enough, problem-first, simplicity

Builder.ai hit a $1.5B valuation—then collapsed into insolvency. In this first long-form interview after the downfall, founder Sachin Dev Duggal joins Mahmoud Khodor to go beyond the headlines.We unpack what Builder.ai was actually building (feature “Lego blocks,” an end-to-end SDLC redesign, and the “Natasha” AI product manager), what was genuinely automated vs. human-led, and why the viral “700 engineers” narrative doesn’t match his account. Sachin also addresses the toughest questions: alleged AI-washing, revenue recognition shifts, reseller performance, lender actions, board dynamics, and what happened in the final weeks before insolvency.If you care about startups, venture-backed scale-ups, AI product truth vs. hype, and how companies break under pressure—this is the full story, with nuance.Keywords: Builder.ai, Sachin Dev Duggal, Builder AI insolvency, startup collapse, AI washing, fraud allegations, revenue recognition, venture capital, SaaS, software development automation, Natasha AI product manager, no-code vs low-code, SDLC, code generation, expert network.Chapters 0:00 Insolvency announcement: finding out via email/Bloomberg0:33 What this interview covers (beyond “fraud” headlines) + disclaimer1:17 Origin story: from photo-sharing idea to “software as features”3:31 The big insight: most apps share the same core features5:18 How Builder.ai redesigned the SDLC (feature as the atomic unit)8:36 Automation vs humans: what AI did, what people still had to do12:29 “Natasha” explained: AI PM, scoping, specs, storyboards18:30 Codegen reality: what worked, what stayed “lab-only”21:13 “700 engineers” narrative + “human-assisted AI” positioning25:49 What drove the biggest cost/time reduction (Lego + AI + run engine)32:17 Why Builder.ai didn’t fit neatly into no-code, agencies, or vibe coding41:58 What changed in 2023–2025: media narratives, board/leadership tension54:12 Inflated sales & revenue recognition: how the numbers shifted1:10:07 Lending $300K to make payroll + the pre-pack plan shock1:17:01 “What’s next?” The new thesis: a neurosymbolic “Second Brain”

We turned a “boring” laundromat idea into a $1M ARR tech brand in under a year.In this episode, I sit down with Jad Halaoui, co-founder of Washmen, to break down how they validated the idea with a scrappy Facebook ad, hit $1M ARR in year one, and then built a vertically integrated laundry operation that now processes hundreds of thousands of garments per month.We go deep into:How Jad left a safe oil & gas career to bet on himself in DubaiThe smoke test that proved people wanted app-based laundry before they wrote a single line of codeWhy next-day delivery hurt quality and how they iterated their way to product-market fitThe decision to shift from asset-light to fully owning the supply chain (and why margins improved)Crazy ops details: RFIDs, four-corner QR codes, color-sorted orders, and 99.95% on-time itemsWhy every garment is a piece of a customer’s identity, not just a piece of clothingIf you’re building a consumer brand, obsessed with operations, or thinking about betting on yourself, this one is packed with stories and lessons.Concise Timeline / ChaptersYou can paste this directly into YouTube:0:00 – QR code “innovation” and hitting $1M ARR0:57 – How the idea for Washmen was born3:05 – Leaving oil & gas to bet on himself and move to Dubai5:04 – Validating Washmen with a Facebook ad and free underwear7:33 – Incubator, seed round, and launching the first app in 201513:52 – Early ops pain: next-day delivery, quality issues, and fixing the model16:20 – Testing wash & fold, building their own facility, and Series B19:02 – Scaling to hundreds of thousands of garments with RFIDs & cameras20:23 – Early growth from Facebook/Instagram ads and viral content24:40 – From advertising-led growth to word of mouth & brand love26:28 – Why Washmen won: timing, drive, and not having a safety net32:01 – People strategy, training, and moving from firefighting to offense34:26 – Clothes as identity: emotional attachment and The Finery40:25 – Respecting the craft: tiny details, four-corner QR codes, and ops pride42:26 – Where to find Jad and learn more about Washmen

In this episode, I sit down with Kevin Kelly – founding executive editor of WIRED, legendary futurist, and author of The Inevitable, Excellent Advice for Living, and the new photo book Colors of Asia.We go way beyond AI hype and talk about why we’re probably overestimating AI in the next 5–10 years but massively underestimating it over the next 100, how emotional and empathetic AIs will become our companions, and why Kevin believes great artists won’t lose their jobs to AI.We also dive into why enthusiasm is worth 25 IQ points, why clear writing and communication beat raw intelligence for builders and designers, how to think with your whole body, Kevin’s painful writing process, and his marriage advice from 39+ years together.If you’re a product builder, designer, founder, or just trying to understand the future we’re stepping into, this is a conversation to sit with, not skim.Subscribe to my newsletter https://www.mahmoudkhodor.comKevin new book, colors of Asia https://www.amazon.com/Colors-Asia-Journey-KEVIN-KELLY/dp/B0FGJ18PG5#:~:text=What's%20it%20about?,artifacts%20from%20Turkey%20to%20Japan.00:00 – Intro & “AI bigger than electricity or fire?”01:21 – We overestimate AI now, underestimate 100 years from now03:00 – Many AIs vs one monolithic AI05:00 – Emotional AI & empathetic agents11:20 – Will AI replace human artists?14:00 – Jobs, coders & the 25% productivity boost19:00 – AI uncertainty: jobs, AGI & central vs edge compute23:40 – “Once in history” moment & AI surprises33:00 – Enthusiasm, intelligence & communication41:40 – Writing as clear thinking48:20 – Marriage advice & fears of divorce50:16 – Colors of Asia & disappearing cultures

In this episode, positioning legend April Dunford breaks down why “product-market fit” is a myth, how founders should think about positioning, and what separates products that grow from those that disappear.We talk about April’s early days turning a failing database product into a billion-dollar success, why most startups get positioning completely wrong, and how to make customers finally get what you do in 30 seconds.If you’re a founder, product manager, or marketer, this episode will completely change how you think about your product story, differentiation, and growth.Subscribe to my newsletterhttps://www.mahmoudkhodor.comConnect with April on Linkedin: https://www.linkedin.com/in/aprildunford/Visit her website: https://www.aprildunford.com/Buy her book: https://www.amazon.ae/Ambient-Press-Obviously-Awesome-Positioning/dp/1999023005⏱️ Timestamps00:00 – Intro | Who is April Dunford?03:00 – The database that failed – and then didn’t08:00 – How positioning saved the product15:00 – Why “Product-Market Fit” is a myth22:00 – Positioning vs Branding vs Messaging28:00 – The real sign you’ve found your market34:00 – How to create an Actionable Segmentation42:00 – When bad positioning kills good startups51:00 – Why positioning is a team sport1:05:00 – Building KChat and testing our own positioning1:12:00 – April’s new book update + final advice

What happens when your AI chatbot accidentally tries to buy a car for $0?In this episode, I sit down with Andrew Kabrit, co-founder of Seez.co , the startup once known as the “Shazam for Cars.”From scraping car data to building an AI platform used by major dealerships across Europe and the Middle East, Andrew shares how a single pivot turned Seez from a consumer app into a thriving B2B automotive SaaS company.Subscribe to my newsletter https://www.mahmoudkhodor.comAndrew's LinkedIn: https://www.linkedin.com/in/andrew-kabritSeez's website https://seez.coWe dive deep into:🚗 How Seez built early AI models before ChatGPT existed💡 The “bot that bought a car for zero”, and what it taught the team📈 Pivoting from millions of users to a few key enterprise clients🏠 Building a startup from a bare Dubai penthouse with no AC or furniture🤖 Creating Caesar, the AI sales assistant transforming car dealerships💥 The mindset that helped Seez get acquired and scale globallyIf you’re into startup stories, AI, product pivots, or building in the Middle East, this one’s for you.🕒 Chapters / Timeline00:00 – Intro: From Shazam for Cars to Dealer AI01:00 – The $0 car offer: When AI went rogue03:00 – Building Seez in a Dubai penthouse with no AC05:00 – Early days of AI: scraping data & training image models08:00 – Launching the “Shazam for Cars” app11:00 – The B2C challenge: millions of users, no revenue13:00 – The pandemic pivot: from app to dealership SaaS16:00 – Selling cars online before Tesla made it cool20:00 – Understanding dealer pain points24:00 – Why scrappiness beats perfection26:00 – Finding your first B2B customers30:00 – How to sell to enterprise clients33:00 – The power of GTEX and first major deals37:00 – Convincing the team and investors to pivot40:00 – Building the Caesar AI assistant45:00 – Differentiating in the AI chatbot market49:00 – Domain expertise and deep dealership integrations53:00 – What’s next after Seez’s acquisition by Pinewood56:00 – Andrew’s biggest lessons for founders58:00 – Closing thoughts and where to find Andrew

Can AI truly become your third teammate in design?In this episode, David Kossnick, Head of AI Products at Figma, joins Mahmoud Khodor to explore how Figma Make is transforming the way product managers, designers, and engineers co-create.You’ll learn how Figma is integrating AI beyond the gimmick, from “prompt-to-app” workflows to multiplayer prototyping where humans and AI build side by side. David also shares how AI is lowering the floor and raising the ceiling of what’s possible in product design — and why the future may belong to one-person, billion-dollar builders.If you’re a product manager, designer, or founder curious about AI tools, Figma AI, design collaboration, or the future of creativity, this episode is a must-watch.Newsletter: https://www.mahmoudkhodor.comDavid's Linkedin: https://www.linkedin.com/in/davidkossnick/Figma website https://www.figma.com/🧠 What You’ll Learn- How AI is becoming a true design collaborator- The playbook to avoid the “AI novelty trap”- How Figma Make changes prototyping forever- Why design will matter more than ever in the AI era- What the “one-person billion-dollar startup” future looks like⏱️ Timestamps00:00 – Design as the new differentiator00:21 – Guest intro: David Gossnick, Head of AI at Figma00:48 – What “AI at Figma” really means03:17 – How Figma decides which AI features to build06:36 – Balancing speed and responsibility in AI08:44 – Biggest challenges of building AI at scale11:05 – AI lowering the floor & raising the ceiling13:20 – Will AI replace designers?15:02 – The rise of one-person billion-dollar builders20:45 – Avoiding the AI novelty trap30:01 – How Figma keeps innovating32:04 – The future of design with AI