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A firefighter used ChatGPT and Codex to build an offline iPhone predator caller

A firefighter and hunter with no traditional app-development background used ChatGPT and Codex to build PREDATOR, an offline iPhone predator-calling app that plays calls through a hunter's existing Bluetooth speaker. The app is now moving into field testing with real coyote hunters to surface rough edges before release, and the builder is soliciting feedback from other AI-assisted solo developers.

by read1 min views1 publishedSep 19, 2026

I’m a hunter and firefighter without a traditional app-development background. I got tired of YouTube ads interrupting coyote stands, so I used ChatGPT and Codex to help turn an idea into a working iPhone app.

PREDATOR is designed to work offline and play calls through the Bluetooth speaker a hunter already owns. The product decisions are being shaped around how I actually hunt rather than around ad-supported playback.

The interesting part for me has been seeing how far an AI-assisted solo builder can goβ€”from an idea, through a working mobile app, to recruiting real-world testers. The next step is field testing with actual coyote hunters who can find the rough edges before release.

If you’re curious about the project or want to see the field-testing page, it’s here:

[https://sites.google.com/view/predatorfieldtesting/home](https://sites.google.com/view/predatorfieldtesting/home)

I’d especially like to hear from other builders who have used ChatGPT or Codex to ship something outside their original professional background. What changed when your project met real users instead of just working on your own device?

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