Episode
E570 Tinder for Cows: How a Kiwi Sharemilker’s ChatGPT App Is Outbreeding the National Herd
- Podcast
- The Bullvine Daily Brief
- Published
- May 28, 2026
- Duration seconds
- 2180
- Processing state
not_requested- Canonical source
- https://rss.com/podcasts/the-bullvine/2867262
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Summary
It's a Friday night in the Waikato. The rugby's on, his wife's gone to bed, and Matthew Zonderop is staring at a laptop full of red error messages. Five weeks of mating spreadsheets — 400 cows' worth of decisions — just collapsed because of a single spelling mistake. It's 10:30 at night. He has to milk in a few hours. And in a moment of pure "what have I got to lose," he uploads the broken file to a chatbot he barely understands. He didn't go to bed until two in the morning. By then, everything had changed. This is the story of how a dairy farmer with no coding background, no startup money, and no plan accidentally built a tool that's now bending New Zealand's national genomic trendline faster than the breeding giants' own software — and what it means for every producer still drowning in data they can't make sense of. THE STORY YOU'LL HEAR The Friday-night mistake that should have ruined his weekend — and instead rewired his career The moment the machine did in 30 seconds what had taken him five weeks, and the chill that came right after: "I've just woken a beast every breeding company has guarded for decades. What have I done?" Six months of YouTube tutorials, bad prompts, and stubborn trial-and-error — building something he had no business being able to build Why he refuses to let the AI swing for the fences, and the seven-kilo rule that keeps farmers from breeding themselves backwards The day the entire executive team of the country's biggest breeding company turned up at his kitchen table — and the question that left him speechless: "What can we do to help?" Why he stopped chasing farm ownership and started chasing something harder to name The 87 calves grazing behind him as he spoke — the first proof, on four legs, that any of this actually works Matthew Zonderop…