App That Combines Workout and Nutrition Tracking in One Place
Training and food are not separate variables — they operate on the same body. Zenith is built to manage both together, with each system informing the other.
iPhone · iOS 17 +
Quick pick
The right answer depends on what you actually need
You train AND track food and want them to talk to each other
Zenith
Native integration. Training load informs calorie targets — heavy sessions increase carbohydrate targets, rest days reduce total calories. One app, one profile, no manual coordination.
You want the best of each category separately and don't mind two apps
Hevy + MacroFactor or MyFitnessPal
Best-in-class tools for each job. Hevy for training logs and PR tracking; MacroFactor for adaptive calorie targets from real weight trend data. Two subscriptions, manual coordination, no cross-app intelligence.
You're a beginner who wants simple tracking to build habits first
MyFitnessPal free tier
Simpler and lower friction to start. The free tier handles basic calorie and macro logging without requiring much prior knowledge. Once the habit is established, a more integrated system makes more sense.
The default approach is two apps — one for workouts, one for food. On paper this works. In practice, it means logging a session in Hevy and then manually calculating whether that extra 400 kcal burned from training changes your calorie target for the day. The two apps don't talk to each other, so you're doing the math yourself. That math is easy to skip, easy to get wrong, and adds friction that compounds every single day you train.
The math matters. A heavy leg day burns more than a rest day. A week of back-to-back hard sessions depletes glycogen stores that a static calorie target won't account for. If your nutrition app doesn't know you trained, and your workout app doesn't know your calorie budget, you're managing two independent variables when the point of fitness is to optimize them together. The result is a system that's technically complete — you have apps for both things — but structurally disconnected at exactly the point where the connection produces results.
The core problem
Why most apps fail at this
Reason 1
Calorie logging is bolted on, not built in
Most apps that try to do both add basic calorie logging to a workout app — or vice versa — as a checklist feature. The functionality exists, technically. But it was designed as an extension of a single-purpose product, not as a first-class system. The result is that the two halves of the app don't share data in a meaningful way. You can see both, but they don't inform each other. Logging a workout doesn't change your food targets. Logging a large meal doesn't affect how your next training session is structured.
Reason 2
Exercise calorie estimates are unreliable
Exercise calorie estimates are notoriously inaccurate, and most apps use MET-based formulas that overestimate burn by 25–50%. When those inflated numbers feed into your calorie budget, you end up thinking you have more room to eat than you actually do. Apps that add workout calories to a static daily target are compounding an estimation error rather than solving for actual energy balance. A better approach is to model training load rather than calories burned — volume and intensity are more reliably measured and more directly relevant to recovery nutrition.
Reason 3
Knowing both independently doesn't produce insight about the relationship
The two tracking systems don't share data in a meaningful way in most apps. You can see your workouts. You can see your macros. But the app cannot tell you whether your protein intake is sufficient for the training volume you did this week, or whether your calorie deficit is undermining recovery. That requires a model that holds both variables simultaneously and reasons about their relationship — not just two parallel logs that happen to live in the same app.
The Zenith approach
Built from the ground up
as a unified system
Zenith was built from the ground up as a unified system. Training load — measured as volume (sets × reps × weight), session intensity, and perceived difficulty — feeds directly into the weekly calorie and macro targets. On high-volume training days, Zenith increases carbohydrate targets to support glycogen replenishment. On rest days, it reduces total calories modestly. This isn't a calories-burned calculator with inflated estimates. It is a recognition that training and nutrition are the same system operating on the same body, and that treating them as separate produces worse outcomes than modeling them together.
Zenith also connects protein targets to training volume. Higher-volume weeks trigger a slight increase in protein requirements to support muscle repair. If you're running three heavy sessions in a week versus one, your body's demand for protein to rebuild muscle tissue is meaningfully different — and your targets should reflect that. Most apps set protein based on bodyweight alone and leave it static regardless of what your actual training looks like week to week.
The integration goes in both directions. If you are in a calorie deficit on a training day, Zenith adjusts by slightly reducing the deficit rather than maintaining it at the cost of recovery. A sustained deficit during heavy training creates a negative recovery environment — you break down more than you rebuild, and performance declines. Zenith models this explicitly: the goal is not to hit a calorie number regardless of training context, but to hit a number that supports both your body composition goal and your ability to train effectively.
This is what it means to have training and nutrition in one place — not just having access to both logs simultaneously, but having a system that can reason across them. To understand how Zenith structures the nutrition side of this, see how the macro target generator works and how it connects to training load.
Step by step
How it works, concretely
Set your goals once — training and nutrition come from the same profile
You set your goals once: weight goal, training frequency, body composition priorities. Zenith uses this to calculate your baseline calorie and macro targets and your initial training plan. Both live in the same app, drawing from the same profile. There is nothing to sync between two systems, no duplicate entry of your bodyweight or goal, and no reconciliation step when the apps disagree. Your training frequency directly shapes your calorie targets from day one — someone training five days a week has different energy and macro needs than someone training twice, and Zenith models that from the start rather than applying a one-size formula.
Log your training — it feeds into tomorrow's nutrition targets
After each session, Zenith records volume — sets, reps, weight — and session difficulty. This data feeds directly into two systems simultaneously: your recovery model, which informs what next week's training should look like, and your nutrition targets for the following 24–48 hours. Heavy sessions slightly increase your calorie and carbohydrate ceiling for that day and the next. Light sessions and rest days return closer to your baseline target. The adjustment is proportional to actual load, not to a crude calories-burned estimate. Logging your workout is not just record-keeping — it is data the system uses to calibrate what you should eat.
Log your food — see targets in context of your training day
Log your food by barcode, by search, or by portion description. Zenith shows your daily calorie and macro targets alongside what you've logged, with clear context about where those targets came from — baseline, plus today's training adjustment. You are never looking at a raw number without understanding why it is what it is. Over time, you can see whether your actual intake is tracking against your targets on training days versus rest days and adjust accordingly. Understanding how a calorie deficit works in practice is much clearer when the app shows it relative to your real training output. Zenith also adjusts your training plan when you miss a session, so the nutrition adjustments stay accurate even when your schedule shifts.
Sample Output — Tuesday, Heavy Leg Day
Training Log
- Squats4 × 6 @ 185 lbs
- RDL3 × 10 @ 155 lbs
- Leg Press3 × 12 @ 270 lbs
Nutrition Targets — Adjusted for Today
- Calories2,180 (+220 training day)
- Protein160 g
- Carbs240 g
- Fat55 g
Status
On track. Good recovery fuel for tomorrow.
Carbohydrate target elevated to support glycogen replenishment after high-volume leg session. Protein within range for muscle repair at current training load.
Honest comparison
Other options worth considering
Zenith is not the right choice for every situation. Here is an honest take on the alternatives.
Hevy + MacroFactor
Two appsBest of both worlds if you don't mind two subscriptions and manual coordination. Hevy is an excellent workout logger with clean PR tracking and a solid interface. MacroFactor is arguably the most scientifically rigorous nutrition app available at consumer pricing. The limitation is that they don't talk to each other — your training load never informs your calorie targets, and vice versa. You are still doing the integration manually.
MyFitnessPal
Nutrition-firstHas workout logging, but it is basic and not meaningfully connected to nutrition targets. You can log your session and see calories added to your budget, but those are MET-based estimates that tend to overstate actual expenditure. The nutrition database is large and the barcode scanner is reliable — it is a strong calorie tracker. The workout side is an afterthought rather than a core system. A reasonable free-tier starting point for habit formation.
Cronometer
Nutrition onlyExceptional nutrition precision — micronutrient tracking depth that no other consumer app matches, with validated food data and detailed vitamin and mineral breakdowns. Workout tracking is minimal and not connected to nutrition targets in any adaptive way. The right tool if you have a specific clinical or dietary need that requires micronutrient granularity; not the right tool if your goal is training-nutrition integration.
For a broader view of where combined tracking fits in the landscape of AI fitness tools, see our full ranking of the best AI fitness apps in 2026.
Sarah Okafor
Certified Fitness Instructor, 8 years coaching · Reviewed May 2026