wnorris510
Joined 5 years ago
Joined 5 years ago
If there's something we missed on your food shoot me a DM, I'd love to dig in.
Our app is free to use the most accurate model, ChatGPT is paid for the most accurate model and has usage limits.
Our app plots your data on nice charts and has visuals specific to understanding your data over time visually (e.g. how has my sodium intake been changing day over day or what has my average weekly caloric intake been when deducting active calories from fitness trackers).
Our app integrates with Apple Health and soon will integrate with Android Fit so you can export your data to other apps, share with health professionals, etc.
I've spent the last 10 years of my life researching why this is and how I can help. What I've heard from countless users is that it takes to long to track what they're eating and learn how they can improve.
I've never tried to claim that the selling point of AI is that it's "vastly better", I've just tried to build tools to help people. The voice note feature in our app accompanied by a kitchen scale is the most accurate thing you can do to track nutrition and it actually is much faster than what existed on the market before we launched.
The photo logging feature is more accurate than what most users did before we launched and is by far the fastest way you can track, but yes, it has it's limitations, and unlike our competitors I won't pretend it's perfect. If you're eating out at dinner, and the alternative would be you didn't log the meal, it's a great option.
At the end of the day accuracy actually is not the most important thing if you really care about helping people. Education is what matters. People need to learn which foods and ingredients are the problematic ones and why. Our app accomplishes that better than any solution that existed on the market before we launched.
You especially should not trust an app that does not do any research on the accuracy of it's algorithm or claims to be "consistently accurate" as many of them do currently. The truth is these algorithms have the potential to be accurate when values are averaged out over the long term, but dish to dish they will have occasionally wildly inaccurate results.
Our app has the fruit and veg counters ABOVE the calorie meter on the dashboard. The reason for this is that maximization mindset (e.g. maximizing fruits and veg) is way healthier than a minimization mindset (e.g. minimizing calories or carbs).
We actually even tried to fully remove calories from the app at some point but we had a vast majority of users churn and decided it would be healthier for people who want calorie tracking to stick with our app by having it present, but requiring them to scroll past the features that promote a healthier mindset to get there. Feedback from users has been amazing that they've slowly started focusing more on fruits and veg.
https://openaccess.thecvf.com/content/CVPR2021/papers/Thames...
We've since come up with a much more accurate approach. That said we also try to do some advanced technique to figure out what people were trying to log and not what the amount of food in the photo was. So for example if take a bite out of a bagel, we'll try to say 1 bagel since it's unlikely you wanted to log a bagel less a bite.
We've published in top peer reviewed academic conferences and our algorithm (can't say the same for other apps) IS actually more accurate than people trying to visually estimate portion size, but the truth is both are quite inaccurate.
Most people won't spend the time to track, so photo logging is a faster and easier approximation. If you want more accurate logging you should use the voice logging feature and a kitchen scale (also completely free in our app).
As many mention the goal is to learn, not to tediously track every little thing. Do what's sustainable for you and helps achieve your health and fitness goals.
If people are hitting that goal then they can start moving into more nuanced dietary changes like minimizing adde sugars and sodium, or maximizing nuanced micros and diversity.