In March 2026, MyFitnessPal bought Cal AI. The company behind one of the biggest fitness brands on the planet paid a reported price tag you would normally see on a decade-old enterprise company. Cal AI was two years old. Its CEO, Zach Yadegari, was nineteen. His co-founder Henry Langmack was still in his teens too.

The app does one thing. You take a photo of your food. It tells you how many calories are on your plate. It uses a stack of OpenAI and Anthropic models with retrieval over open food datasets, and claims around 90 percent accuracy for most meals. Users pay $2.49 a week or $29.99 a year.

That is the whole product.

By the time MyFitnessPal came calling, Cal AI had been downloaded 8.3 million times. By mid-2026 the number was 15 million. Yadegari told investors it had crossed $40 million in sales in a single twelve-month period. MyFitnessPal says it generated more than $30 million in annual revenue when the deal closed.

Two teenagers. One idea. Three years. A nine-figure outcome.

What this story is really about

If you grew up being told that you need a decade of theory before you are allowed to ship, Cal AI is the loudest counter-example of the year. The founders did not wait. They used the AI tools other people were busy writing think-pieces about. They stacked public models, built on top of them, and shipped on the App Store.

The lesson is not that every student will exit to MyFitnessPal. The lesson is that the gap between “I had an idea” and “a million people are paying for it” has shrunk to a shocking degree, and the people closing that gap right now look nothing like a traditional CS graduate.

What our students are doing with this shift

• They build in public from day one. The first mobile app does not need to be good. It needs to exist.

• They stack open models. OpenAI, Anthropic, Google, open-source. The art is in the orchestration, not in writing the model from scratch.

• They sell before they polish. $2.49 a week is a feature test, not a billing decision.

If you want your Cal AI-shaped shot, the question is less “do I know enough” and more “what am I about to ship this quarter.” Pick up the brochure for the BS in AI and ML Engineering and look at the second-year build projects. One of them might be the thing you sell before you graduate.