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Samantha Alexanderβ€’

24d ago

Testflight Launching - Call for Beta Users!

If you're on a GLP-1 (Ozempic, Wegovy, Zepbound, etc) and figuring out what food to buy/eat is absolutely confusing, we'd love to have you as a beta user on our new app.
If you're not on a GLP-1, but you have a health goal (ie: eat more protein, more fiber, less sugar, etc) we'd love you as beta users, too!
Drop a comment if you want to be added to the Testflight beta group. Beta testers who submit feedback get free access to the app for an entire year :)

Kent Greenβ€’

1mo ago

Any GLP-1 users out there struggling w/ finding the right food AND up for a user interview?

Hey folks,
We're cooking up our next major product release and pretty excited about it. As a GLP-1 user myself, I know I struggle with finding the right things to eat. Do you or someone you know feel the same? I'd love to chat how we might help. https://calendly.com/kent-at-foo...
Can't wait to learn from you!

Samantha Alexanderβ€’

2mo ago

FoodHealth Score - Find healthier groceries while you shop online

FoodHealth Score is a free Chrome extension that scores every grocery product 1–100 as you shop at Target, Walmart, Amazon, Whole Foods and more. See if something's actually healthy. Get a smarter swap that fits your budget and dietary needs. Then watch your whole cart improve before you check out. Powered by a 200 billion purchase dataset and a proprietary nutrition algorithm that's being used by Kroger, Hy-Vee, NielsenIQ and others across the food industry to build a healthier food supply.
Samantha Alexanderβ€’

2mo ago

What we got wrong about healthy grocery nudges (and what the data taught us)

We've been running the FoodHealth Score Chrome extension for a few weeks across Target, Walmart, Amazon Fresh, and Whole Foods. We thought we knew what people wanted. We were wrong.

What we assumed: Show people a FoodHealth Score, suggest a better product, done.

What actually happened: People didn't just want a swap. They wanted to know why. A number wasn't enough - shoppers want to understand what makes the alternative better before they trust it. More fiber. Less added sugar. A cleaner ingredient list. Once we added those insights alongside the swap suggestion, we saw a lot more swaps clicked on.

It makes complete sense in hindsight. You wouldn't take a stranger's recommendation at face value. Why would you take an algorithm's?