I like this, I’ve been tracking with MyFitnessPal. Would be great if I could import historical calories to see how it performs.
Also note that tracking calories is hard - often it’s an estimate so quite hard to vary by the small amounts above and below the threshold needed for continued weight loss.
Also losing weight is hard!
Users can import up to 30 days of calorie and weight data from other apps that write to Google Health Connect.
Also, yes, Macrocodex doesn’t change your targets for every minor fluctuation in maintenance calories. It only adjusts your target when enough meaningful and measurable change has accumulated, as you correctly pointed out tracking changes below ~150 kcal is difficult.
Do i have to put in what I ate throughout the day? How accurate / easy is it for me to put in each ingredient that I ate and its weight? Instead, can i put in a weekly meal plan that I already have?
It’s a great product. I’d mainly like to know: how does this compare to connecting Apple Health data to Claude or the ChatGPT app and having them perform calculations in a specific way?
Macrocodex can work even when calorie logging is sparse. A user may fail to log data for a few days each week, and maintenance calories can still remain accurate because it operates over your entire history.
If you read our privacy policy, you’ll see that it collects total calorie and weight data from users, which we use to improve our adaptive TDEE algorithm. It does not collect email, phone number, date of birth or anything which is not necessary for product improvement/diagnosis.
You can probably achieve something similar with Claude and a bunch of scripts if you log your calories every day.
macrocodex is entirely deterministic, it just works and users don't need to fiddle with it.
Log your calorie each day, log your weight weekly and it will continue producing calorie and macro targets for you to achieve desired rate of weight gain or loss.
It also has many more features, such as lean bulk, cut, and body recomposition modules. It includes a planner that helps you decide when to switch from cutting to lean bulking (or vice versa), or when body recomposition efficiency starts dropping for you.
For example,
To gain least fat while gainng muscles, Lean bulk is what you need.
The key is to focus on your rate of weight gain, not a specific calorie number or surplus percentage.
Weekly Weight Gain Rate:
Beginners: 0.25-0.5% of body weight
Intermediates: 0.25-0.4%
Advanced Lifters: 0.1-0.25%
Usually, a calorie Surplus: +5-10% of TDEE (roughly 100-300 kcal/day) may get you there but if it doesn't adjust your calories up or down to reach the desired weekly weight gain rate.
This is where macrocodex can do better than chatgpt/claude over long horizon.
Calorie and weight data collected by the Android app looks like this:
`datetime | 2500 kcal | 90 kg`
By using Macrocodex, users become part of a shared data pool. They pay nothing, but they can choose to share this data.
We've this data from 17,000+ users that's what makes this accurate.
Data collection on Android can be disabled by turning off Diagnostics under Profile.
The app does not collect anything beyond this, so there is no way to link the data back to any specific person. It does not even ask for your name.
Furthermore, users can easily delete all collected data by going to *Profile > Clear Data*. During onboarding, the app will also show the Health Connect permission request.
On the web app, there is no reliable way to store persistent data because IndexedDB storage can be wiped by the OS or browser. Because of this, it requires backend to save this data.
There are no cookies used on site, no tracking pixels etc...
I like this, I’ve been tracking with MyFitnessPal. Would be great if I could import historical calories to see how it performs. Also note that tracking calories is hard - often it’s an estimate so quite hard to vary by the small amounts above and below the threshold needed for continued weight loss. Also losing weight is hard!
On Android, it supports Google Health Connect.
Users can import up to 30 days of calorie and weight data from other apps that write to Google Health Connect.
Also, yes, Macrocodex doesn’t change your targets for every minor fluctuation in maintenance calories. It only adjusts your target when enough meaningful and measurable change has accumulated, as you correctly pointed out tracking changes below ~150 kcal is difficult.
Do i have to put in what I ate throughout the day? How accurate / easy is it for me to put in each ingredient that I ate and its weight? Instead, can i put in a weekly meal plan that I already have?
No, this isn't a calorie tracking app.
You need to log only two things
1. Total calories consumed on a specific day
2. Body Weight
it doesn't care about anything else.
It’s a great product. I’d mainly like to know: how does this compare to connecting Apple Health data to Claude or the ChatGPT app and having them perform calculations in a specific way?
Macrocodex can work even when calorie logging is sparse. A user may fail to log data for a few days each week, and maintenance calories can still remain accurate because it operates over your entire history.
If you read our privacy policy, you’ll see that it collects total calorie and weight data from users, which we use to improve our adaptive TDEE algorithm. It does not collect email, phone number, date of birth or anything which is not necessary for product improvement/diagnosis.
You can probably achieve something similar with Claude and a bunch of scripts if you log your calories every day.
macrocodex is entirely deterministic, it just works and users don't need to fiddle with it.
Log your calorie each day, log your weight weekly and it will continue producing calorie and macro targets for you to achieve desired rate of weight gain or loss.
It also has many more features, such as lean bulk, cut, and body recomposition modules. It includes a planner that helps you decide when to switch from cutting to lean bulking (or vice versa), or when body recomposition efficiency starts dropping for you.
For example,
To gain least fat while gainng muscles, Lean bulk is what you need.
The key is to focus on your rate of weight gain, not a specific calorie number or surplus percentage.
Weekly Weight Gain Rate:
Beginners: 0.25-0.5% of body weight
Intermediates: 0.25-0.4%
Advanced Lifters: 0.1-0.25%
Usually, a calorie Surplus: +5-10% of TDEE (roughly 100-300 kcal/day) may get you there but if it doesn't adjust your calories up or down to reach the desired weekly weight gain rate.
This is where macrocodex can do better than chatgpt/claude over long horizon.
That sounds great, but it feels inappropriate to collect users' calorie data without explicitly informing them.
Calorie and weight data collected by the Android app looks like this:
`datetime | 2500 kcal | 90 kg`
By using Macrocodex, users become part of a shared data pool. They pay nothing, but they can choose to share this data.
We've this data from 17,000+ users that's what makes this accurate.
Data collection on Android can be disabled by turning off Diagnostics under Profile.
The app does not collect anything beyond this, so there is no way to link the data back to any specific person. It does not even ask for your name.
Furthermore, users can easily delete all collected data by going to *Profile > Clear Data*. During onboarding, the app will also show the Health Connect permission request.
On the web app, there is no reliable way to store persistent data because IndexedDB storage can be wiped by the OS or browser. Because of this, it requires backend to save this data.
There are no cookies used on site, no tracking pixels etc...
This is very helpful to me.