faangguyindia

What does it mean? If a drug reduces your desire to eat food, wouldn't it also decrease your desire to eat food beneficial for your body?

I think the effect most people want is to stop craving junk food but still eat nutritious food required for muscle growth and health.

It doesn’t ask what specific foods you eat, so we do not have this data.

Interestingly, that isn’t a problem. Most people follow fairly predictable eating patterns over time. We measure the effectiveness of our method by comparing the user’s target rate with the actual rate of loss or gain achieved whether that’s weight loss or weight gain.

Our data tells us 56% of users start losing weight or gaining weight (depending on set goal) within 2 weeks of using macrocodex and 95% start seeing meaningful gain and loss trend within 5 weeks.

Based on this alone, we'll probably never add more granular data collection than this.

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.

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.

`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...

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.

Hola was basically VPN provider which Luminati networks leveraged to provide residential proxy service to corporates.

Later Luminati rebranded as bright data networks.

Atleast that's how I remember it.

A very simple idea: when you eat more than your maintenance calories, you gain weight; when you eat less than your maintenance calories, you lose weight.

By using an algorithm, we can accurately figure out your maintenance calories more accurately than traditional regression based formulas like katch mc ardle.

It's way more accurate than calorie burn tracking devices like fitness bands and watches. (garmin/apple watch etc...)

MacroCodex helps you spot dips in maintenance calories from metabolic adaptation, then auto adjusts your calorie target and macros so your plan stays aligned with your real maintenance calories (TDEE).

It's very useful to those who find it hard to gain or lose weight.

it's a completely free app, no paywall, no unnecessary data collection.

Already reached 13,000+ users

5.3 becomes 5.4

and optimization and improvement to 5.4 are provided as new 5.5

this gives boost effect via anchor/decoy.

https://blog.cloudflare.com/updated-tos/

interesting, it seems now i can host stuff directly on r2 and put CF in front and serve images, video and other files!

I've found it's enough for most projects.

One of my sites is image heavy and serves 10 TB of traffic per month. For this, I use the following setup:

1. S3 (I wanted reliable data storage) 2. In front of it, I have Cloudflare (with Tiered Cache enabled, which makes POPs prefer pulling from Cloudflare rather than the origin). I've set rules to cache everything on both the browser and Cloudflare for 1 year, ignore origin cache policies, ignore query strings, etc., and I simply use immutable objects that require revisioning. 3. BunnyCDN in front

Cloudflare will not let you run an image heavy site on its own, so I use this approach to massively cut the bills. Their policy says you cannot use it primarily for images; it must be used for HTML, CSS, JavaScript, and other site content.

And if you run only S3, the bills will be huge.

But yes, lately I’ve been building mobile apps. PWAs are limited; the OS can evict IndexedDB storage, so I cannot offer people reliable data storage in the app without sign up or involving a backend.

What can I do? So I was forced to switch to Flutter on Android, but I ran into another pain point: app updates sometimes spend a lot of time "under review," which is frustrating. For the same app, I maintain a web app that is very quick to update by comparison.

I wonder why there isn't a mobile OS that simply lets you build apps with JavaScript, HTML, and CSS and gives you reliable storage without all this effort.

I like how quickly you can update PWA app.

Google and Apple are throttling hotfix updates (for app developers) as tons of code pushes to their infra (by vibe coders) is straining their system.

The are fixing this by throttling updates to minimum 3 days review period.

so good luck fixing the vulnerability or data leaks in your apps.

It means if your app accidentally breaks in production, it may take three days to restore normal operation.

This is forcing developers to look for faster update methods. React native already has a solution for this but flutter solution is paid (shorebird)

It's blazingly fast approach.

As someone who went from C++ to java to Ruby to Javascript to Python, to Go.

I find Go enviornment much superior. Not only your code can keep working for decade and compile fine with new compilers, you get more than enough speed you need.

And also, you don't use random libraries, you precisely use to part you need which imho makes you software more reliable, cleaner and smaller.

Using libraries and other people's module will always bite you just like llm bites you because you believe you understand it but you don't know how it's actually implemented and those who actually go through library and check all that, can implement parts they need from scratch without adding 100s of things u don't need.

Many times those updates are not properly tested, for example in one update the model selector got completely changed.

then next hotfix was pushed which restored original.

Most people who are having kids in india are lower income people.

so i just don't understand when people say it's because of money issue, when people with comfy jobs fail to have babies, it's not about money.

Advertised them on meta with low budget and created landing page which shows you how it's different than existing major player, I got converts in no time

I don't believe much in SEO and never really got much out of it.

I still routinely see these agents throwing away work because the editing failed?

https://github.com/openai/codex/issues/11601

https://github.com/anthropics/claude-code/issues/25775

It seems they didn't look into it seriously.