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AI is reshaping how we build software. But it is not a shortcut to product-market fit. In this episode of The SaaS Playbook, Jenny Vo speaks with Matt Hamann, Co-Founder of Llama Farm and of Rownd. From IBM to startup pivots, authentication wars, open source AI infrastructure, and enterprise deployment. This conversation is a masterclass in long-term execution inside fast-moving categories. We unpack: • Why GDPR-driven startups didn’t become the goldmine many expected • The reality of competing in authentication against incumbents • How to recognise weak product-market fit early • Revenue as the ultimate validation metric • Bootstrapping vs VC-backed focus • The evolution from vibe coding to AI-native engineering • Running AI locally vs cloud dependency • Enterprise AI adoption in regulated industries • Open source as a distribution strategy For founders building in AI infrastructure, SaaS, or developer tooling in 2026, this episode clarifies what actually compounds and what doesn’t. AI expands possibility. It does not remove discipline. Keep up to date with Matt here: / matthamann Llama Farm: https://llamafarm.dev/ Llama Farm Github: https://github.com/llama-farm/llamafarm Llama Farm Community: / llamafarm Rownd: https://rownd.ai/ Head to the comments for full episode details and discussion. ⏱ Chapters 00:00 – From IBM to Startup Founder 02:45 – The GDPR Bet That Didn’t Materialise 05:30 – Pivoting into Authentication 08:20 – The Sunk Cost Fallacy in SaaS 11:00 – Recognising Weak Product-Market Fit 14:30 – Revenue as the True PMF Signal 17:45 – Bootstrapping vs VC Pressure 20:15 – Vibe Coding vs Real Engineering 23:40 – Building AI Infrastructure for Developers 27:10 – Enterprise AI and Data Sovereignty 30:30 – Regulated Industries and On-Prem AI 33:15 – Open Source Strategy with Llama Farm 36:40 – What Feels Uncertain in AI Right Now 39:00 – Fear, Opportunity, and Building Through Volatility Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/abbynoise/shocki... License code: N2PYVKCFUCMJNN6G