Mobile & web app: AI Nutrition Tracker

I built an app that lets AI tell you what you're eating from just a photo. When I looked at existing nutrition trackers, I saw they all made you input ingredients one by one. I knew there had to be a better way. Now you just snap a picture - perfect for those times when you're enjoying a complex dish like Korean food and don't know half the ingredients.

I spent one sunny Sunday building the first prototype. With that foundation in place, I could rapidly iterate on the UI until it felt natural and intuitive to use.

The big question was: would people actually use this? I believe in moving fast to validate ideas. So I launched it as a web app first, set up a small Google search campaign, and added Stripe subscriptions to test if people would pay for it.

Within days, we had our first paying subscribers. That was the green light I needed to move forward with the full vision.

The App Store was calling. To get there, I tackled several key challenges:

Implementing a seamless App Store payment system.

Building a unified payment system that works across web (Stripe) and iOS (Apple Pay), so subscribers could use both platforms.

Polishing the UI to make it intuitive for everyone.

Significantly enhancing the AI's accuracy and speed

I knocked these out in a few intense weeks of development, and we were live in the App Store.

Users started asking for text input alongside photos, and thanks to the flexible architecture I'd built, I could add this feature in just one day. That's the beauty of building things right from the start - you can move fast when opportunities arise.