Episode Summary:
Frank Greeff, the founder behind a $180M exit and the viral Founders Table series, is back, this time building Kinso, an AI messaging aggregation tool set to change how businesses communicate. Instead of retiring after one of Australia’s biggest tech acquisitions, Frank is diving back into the grind, sharing why momentum and purpose keep him building.
In this episode, Frank reveals the AI hacks that surprised even his engineers, why scrappy MVPs may not survive in today’s fast-moving AI wave, and how personal branding gives founders a hidden moat. Georgie and Frank also dig into what it takes to self-fund after top VCs said no, attracting A+ engineering talent in a competitive market, and why “taste” will define which AI products win.
Plus, Frank unpacks Meta’s $100M AI hires, the rise of deepfakes and how he protects his family, and answers listener questions on planning exits, building AI startups, and navigating AGI, UBI, and the future of work, all while playing a spicy rapid-fire round.
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Chapters:
03:20 – What is Kinso and why aggregate business messaging
06:15 – Why Frank couldn’t retire after a $180M exit
10:45 – Hack of the Week: how non-technical founders can challenge engineers with AI
14:30 – Why Frank thinks MVPs can’t be scrappy anymore
18:00 – Building a founding team: attracting top AI engineering talent
23:30 – Meta’s $100M AI hires and how Kinso competes
26:40 – Why VCs rejected Kinso and why Frank’s self-funding
30:50 – Taste as a moat: what makes great AI products stand out
33:00 – How building an AI startup differs from RealBase
36:00 – Planning for exits: documentation and timing
40:30 – Deepfakes and Frank’s “secret password” strategy
43:20 – Rapid Fire: AGI, UBI, future of work, and more
Resources:
🌐 Kinso – https://www.kinso.ai/
🔗 Frank Greeff on LinkedIn – https://www.linkedin.com/in/frankgreeff
