Food Noise: Stop Binge Eating vs MyFood+ : AI Calorie Counter
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
| Metric | Food Noise: Stop Binge Eating | MyFood+ : AI Calorie Counter | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | Food Noise: Stop Binge Eating |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | Food Noise: Stop Binge Eating |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | - | - | Tie |
| Rating count | - | - | Tie |
| Tracked keywords | — | — | Tie |
| Category | Health & Fitness | Health & Fitness | Same market |
Which app is bigger?
Food Noise: Stop Binge Eating and MyFood+ : AI Calorie Counter are compared inside Health & Fitness with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Food Noise: Stop Binge Eating leads on monthly downloads in the current readout, and Food Noise: Stop Binge Eating wins the revenue readout (the exact figures open with the paid plan), Food Noise: Stop Binge Eating wins demand, Tie has deeper review volume, and Tie has the larger tracked keyword footprint. The better app depends on the job: choose the revenue leader when you need monetization proof, choose the download leader when reach matters, and choose the higher-rated or deeper-reviewed app when market trust is the constraint. Read both ranges rather than only the midpoint, then open the category hub and related collections to see whether this pair is an outlier or a normal category pattern.