# How to Build Distribution Before You Build the Product with Frank Greeff from Kinso (Replay Ep)

Page: https://stenobird.com/podcast/day-one-7096683/how-to-build-distribution-before-you-build-the-product-with-frank-greeff-from-kinso-replay-ep
Text version: https://stenobird.com/podcast/day-one-7096683/how-to-build-distribution-before-you-build-the-product-with-frank-greeff-from-kinso-replay-ep.md
Podcast: [Day One®](https://stenobird.com/podcast/day-one-7096683)
Published: 2026-04-02T20:00:00+00:00
Episode link: https://dayone.fm/show/in-the-blink-of-ai
Audio file: https://dts.podtrac.com/redirect.mp3/prfx.byspotify.com/e/episodes.captivate.fm/episode/d7ceef24-5443-4049-a883-349ee7e9bcb8.mp3
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JSON: https://stenobird.com/v1/public/podcasts/day-one-7096683/episodes/how-to-build-distribution-before-you-build-the-product-with-frank-greeff-from-kinso-replay-ep
Duration seconds: 2809

## Resource

Win $2,000 in credits with the Day One Network — take our 2-minute audience survey before 30 June: dayone.fm/survey 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. Time Stamps 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” strate…

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