42apps
CalZen AI Food Calorie Counter
Snapshot
Publisher DNA
What defines 42apps?
AI intelligence is not yet available for 42apps. The portfolio data below is up to date.
Portfolio
What does 42apps ship?
Apps
3 apps analysed
Analysis in progress
Analysis in progress
Distributed across 10 markets, strongest in Europe.
Based on 1 of 3 apps with localized market data, more coverage rolling in as scans complete · last scanned .
Americas (3)
- Brazil1 / 1
- Mexico1 / 1
- United States1 / 1
Europe (5)
- France1 / 1
- Germany1 / 1
- Italy1 / 1
- Portugal1 / 1
- Spain1 / 1
Asia-Pacific (2)
- Japan1 / 1
- South Korea1 / 1
Core markets (1/1 apps)
Rivals
Who does 42apps compete with?
The rivals identified
Nemeses(1)
Both applications target fitness-conscious users by replacing manual logging with AI-powered photo analysis, creating direct competition for users seeking time-efficient nutritional tracking.
Contenders(8)
Both apps target weight management and health through AI-based image recognition for nutritional logging, creating direct competition for users seeking automated calorie tracking.
Both apps target users managing weight or muscle gain by utilizing image recognition to automate nutritional logging. They compete directly for the same audience seeking to replace manual entry with AI analysis.
Both apps target health-conscious users seeking nutritional insights, with CalZen focusing on automated image-based calorie counting and Ivy on granular ingredient-level scanning.
Both apps target fitness-focused users seeking AI-driven nutritional tracking, with CalZen focusing on general meal photography and MenuFit specializing in restaurant-specific macro analysis.
Both apps compete for health-conscious users seeking nutritional tracking, but they diverge on the core logging mechanism: CalZen uses AI image recognition for speed, while MacrosFirst relies on a verified database for precision.
Both apps target weight management through AI-powered food photography, creating direct competition for users seeking to reduce manual logging friction.
Both apps compete for the same weight management audience by automating nutritional tracking through AI, forcing a choice between CalZen's accessible entry and MacroFactor's data-driven precision.
Both apps target weight management using AI-powered image recognition for food logging, creating direct competition for users seeking automated nutritional tracking.
Same space(20)
IF: Intermittent Fasting serves the same weight-management audience by providing a structured framework for time-restricted eating.
known for
Arise: AI Food Calorie Counter
Arise targets the same weight-loss audience by offering a multi-modal logging experience to reduce user friction.
Appediet targets the same calorie-counting market with a focus on barcode and food scanning features.
Cal Scanner competes for the same audience by providing a camera-first calorie tracking experience.
AI Calories serves the same audience by using AI to automate the manual process of logging food.
EatFit competes for the same audience by using AI to recognize food and provide nutritional balance.
Foodvisor serves the same audience seeking tech-enabled nutrition guidance through AI-powered camera recognition.
Olive targets health-conscious users concerned with food quality rather than just calorie counts.
Calorie Counter: Food Tracker serves the same weight-management audience by providing a comprehensive database and activity syncing.
Macros targets the same weight-loss and muscle-gain audience by providing personalized calorie and macro goals.
Lifesum competes for the same audience but faces retention challenges due to technical instability and AI-first interface changes.
Calorie Counter by Numify targets the same weight-conscious demographic but struggles with onboarding stability and monetization friction.
MyNetDiary addresses the same need for nutritional tracking but focuses on database accuracy to drive long-term retention.
Calorie Counter + serves the same weight management audience by focusing on a large, verified food database.
Fitia competes for the same fitness-oriented audience by using an AI-driven coach that adapts to user progress.
Foodbok targets the same audience by using AI to provide food analysis without strict dietary restrictions.
BitePal captures the same user base by using a gamified AI companion to reduce the friction of manual calorie logging.
Virtuafood serves the same nutrition-tracking audience by integrating dietary logs with broader fitness ecosystem data.
Calz competes for the same casual user base by using AI photography to simplify calorie tracking.
Yazio competes for the same health-conscious user base by combining AI logging with broader wellness tools like intermittent fasting.
New entrants(1)
Ate targets the same audience by using AI to provide health insights and visual meal logs.
