Why are my calorie targets so low?

Most macro apps set your calorie target with a demographic formula (Mifflin-St Jeor or Harris-Benedict) that estimates your metabolic rate from age, weight, height, and sex, then multiplies by an activity guess. That formula was built on population averages, so it systematically under-estimates for people with more muscle, larger frames, or high training volume. If the number feels punishingly low and your energy and training are tanking, it probably is. The fix is to use a tracker that asks about how you actually train, or to bump the target up 10 to 15 percent and watch your 7-to-14-day weight trend instead of trusting the formula.

Why does my macro tracker tell me to eat so few calories?

The short version

Your app is using a one-size-fits-all formula to guess your metabolism. The formula is fine for an average person and bad for an above-average one. If you carry more muscle than the average person your size, or you train a lot, the formula hands you a number that is too low, and "eating in a deficit" starts to feel like starving.

What your app is actually doing

Almost every macro tracker sets your calorie target the same way:

Estimate your resting metabolic rate (RMR) from a formula. The common ones are Mifflin-St Jeor and Harris-Benedict. Both take age, weight, height, and sex and spit out an estimated number of calories you burn at rest.
Multiply that by an activity factor you select from a dropdown ("lightly active," "very active," etc.).
Subtract a chunk for fat loss, or add one for gaining.

That is the whole machine. Notice what it never asks: how much muscle you carry, what your training actually looks like, how strong you are, how fast you run, how many real training hours you put in per week.

Why the formula misses for some people

Those formulas were fit to population data. They predict the average person's RMR reasonably well. But RMR scales with lean mass, and the formula only sees total weight and sex, which are weak proxies for lean mass.

So:

More muscle, same weight. Two people who weigh 200 pounds can have very different metabolic rates if one is 12 percent body fat and the other is 30 percent. The formula gives them roughly the same number. The muscular one is being under-fed by it.
Large frames. Bigger skeletons, more organ mass, more tissue to maintain. The formula compresses this toward the average.
High training volume. The activity dropdown is a blunt instrument. "Very active" might mean a 5-hour-a-week lifter or a 15-hour-a-week hybrid athlete. They do not burn the same amount.

BMI has the same problem and the same origin: it was designed in the 1830s as a population statistic, never as a personal nutrition input. A lot of apps still treat the demographic formula and BMI like ground truth.

Who this hits hardest

Big, muscular guys who keep getting told they are "technically overweight" and should eat 1,800 calories.
Hybrid athletes (lift plus endurance) whose volume the activity dropdown cannot capture.
Runners and cyclists doing genuine high-volume blocks.
Post-partum athletes returning to training while still carrying recovery and, often, nursing demands.
People coming off a GLP-1 whose appetite and needs are recalibrating.
Former college athletes whose bodies still run hot from years of training the formula never sees.

If the math has never quite fit you, this is usually why.

How to tell if your target is too low

A few signals, especially in combination:

Energy crashes in the afternoon, or you are dragging through workouts that used to feel fine.
Training performance is sliding. Less strength, less power, slower recovery between sessions.
Weight is dropping faster than your goal pace, or much faster than the modest deficit you set should produce.
Hunger that does not settle, the gnawing kind, not the "I could eat" kind.
You have been "in a deficit" for weeks and progress has stalled, which often means the deficit was so aggressive your body throttled output to compensate.

One of those alone is noise. Two or three together is a target that is too low.

What to do about it

Use a tracker that builds the target from how you train. If the app asks what you can lift, how fast you run, and what your week actually looks like, the number it gives you is anchored to your real load, not a population average.
Or override it manually. Bump your target up 10 to 15 percent. Hold it for 7 to 14 days. Then look at the trend, not a single morning weigh-in. A 7-day rolling average of bodyweight is signal; one number is noise.
Trust the trend, not the formula. The formula's job was to give you a starting estimate. Your body's response over two weeks is the real data. If you are eating the "deficit" number and not losing, the number was wrong. If you are eating 15 percent more and the trend still points the right way, you have found a target you can actually live on.

How TrakMac handles it

TrakMac does not start from age, weight, and sex. Its onboarding asks about fitness signals: what you can lift, how fast you cover a mile, whether you can knock out muscle-ups, what your training week looks like in practice. From those it infers a body type and builds your calorie and protein targets off that, not off a 19th-century population statistic. The point is to hand the people the charts have always miscategorized a number that actually fits.

Bottom line

If your macro app's calorie target feels punishing, the most likely explanation is not that you are doing it wrong. It is that the app guessed your metabolism from inputs that cannot see your muscle or your training. Use a tracker that asks the right questions, or adjust the number up and let two weeks of trend data settle it.