Bitlica
AI Calories: Scanner & Counter
Publisher DNA
What defines Bitlica?
AI intelligence is not yet available for Bitlica. The portfolio data below is up to date.
Portfolio
What does Bitlica ship?
Apps
1 app analysed
Tightly focused on 5 markets (France, Germany, Mexico, Spain, United States).
Based on 1 of 1 app with localized market data · last scanned .
Americas (2)
- Mexico1 / 1
- United States1 / 1
Europe (3)
- France1 / 1
- Germany1 / 1
- Spain1 / 1
Core markets (1/1 apps)
Rivals
Who does Bitlica compete with?
The rivals identified
Nemeses(1)
Both apps target users seeking weight management through food tracking, with Noom providing a clinical and psychological layer that overlaps with the core utility of AI-powered meal recognition.
Contenders(10)
Both apps target calorie and nutrition tracking, with Cronometer's AI photo logging directly overlapping with the core camera-based meal recognition feature of AI Calories.
Both apps target users seeking automated nutritional tracking via camera-based food recognition, creating direct competition for daily logging habits.
Both apps target users seeking automated nutritional tracking via AI image recognition, creating direct competition for the same health-conscious demographic.
Both apps target weight-conscious users through AI-powered meal recognition, competing directly for users seeking automated nutritional logging.
Both apps target health-conscious users via AI-powered meal recognition, creating direct competition for users seeking automated dietary tracking.
Both apps target individuals seeking to track daily caloric and nutritional intake, competing directly through meal logging functionality and shared user goals.
Both apps target users seeking automated nutritional tracking via AI-powered image recognition, competing directly for the same dietary management audience.
Both applications target users managing nutritional intake, competing directly through overlapping functionality in food logging and dietary goal setting.
Both applications target users seeking automated nutritional tracking via AI image recognition and share a free pricing model.
Both apps target users seeking automated nutrition tracking via AI image recognition, competing for the same audience looking to reduce manual logging friction.
Same space(20)
known for
Arise: AI Food Calorie Counter
Arise targets the same audience by offering multiple logging methods including voice and AI scanning to reduce friction.
Simple targets the same weight-loss audience but shifts the focus from pure tracking to gamified habit formation via its AI persona.
Cal Scanner AI competes directly by offering a camera-first calorie tracking experience that eliminates manual typing.
AI Calorie Counter & Meal Plan uses the same AI-powered image recognition to automate the logging process for weight-loss users.
Ai Food Scanner competes for the same weight-conscious segment by offering a low-friction, photo-based logging interface.
Food Calorie Counter targets the same user base by offering photo-based logging that identifies ingredients automatically.
Lose It! serves the same structured weight management audience but relies on a massive, user-contributed database rather than pure AI recognition.
Olive targets the same health-conscious users but focuses on toxin detection and seed oil-free mapping rather than calorie counting.
Fastic occupies the same health-conscious space by prioritizing intermittent fasting timers alongside AI-powered meal recognition.
Ivy shares the scanner-first interaction model but pivots the value proposition toward ingredient quality and additive detection.
Lifesum competes for the same nutrition-tracking audience by using a proprietary Life Score metric to drive user retention.
CaloriQ shares the same AI-driven logging mechanism to provide macro tracking and calorie counting.
Nutrition Coach serves the same weight-management audience by emphasizing long-term sustainability and flexible meal planning.
Fast & Fit combines calorie tracking with intermittent fasting to serve users focused on metabolic health.
My Diet Coach targets the same weight-loss audience by combining a food diary with structured habit-building tools.
Processed competes by using the NOVA classification system to help users identify ultra-processed foods.
Nutrilogy AI serves the same audience by providing a nutrition grade for scanned meals to guide healthier choices.
MacroFactor targets the same data-driven demographic but replaces standard calorie counting with a dynamic energy expenditure algorithm.
Cal AI competes for the same time-efficient user segment by using photo-based nutrition analysis as its primary logging mechanism.
Yazio addresses the same nutritional tracking needs by bundling calorie logging with intermittent fasting and meal planning.
New entrants(1)
CalBox AI serves the same audience by using AI to analyze meals and estimate nutritional content.
