V Team
Fitatu AI Calorie Counter
Publisher DNA
What defines V Team?
AI intelligence is not yet available for V Team. The portfolio data below is up to date.
Portfolio
What does V Team ship?
Apps
1 app analysed
AI-powered voice and photo logging reduces friction
- Users find the core calorie and macro tracking functionality helpful for managing their daily nutritional intake
- Aggressive and frequent full-screen advertisements disrupt the logging workflow and make the free version frustrating
Europe-centric footprint across 7 markets.
Based on 1 of 1 app with localized market data · last scanned .
Americas (2)
- Mexico1 / 1
- United States1 / 1
Europe (5)
- France1 / 1
- Germany1 / 1
- Italy1 / 1
- Netherlands1 / 1
- Spain1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
0
Positive apps
0
Neutral / mixed
1
Negative apps
35/100
Avg sentiment score
Rivals
Who does V Team compete with?
The rivals identified
Nemeses(2)
Both apps compete for the same calorie and nutrition tracking audience by utilizing AI-powered photo recognition to simplify daily meal logging.
Both apps compete for the same health-conscious user base by offering AI-driven calorie and macro tracking. MyFitnessPal's massive database and established market presence directly challenge Fitatu's focus on precision and dietitian-moderated data.
Contenders(12)
Both apps target health-conscious users requiring precise calorie and macro tracking, competing directly on the utility of their food databases and AI-assisted logging features.
Both apps compete for the same weight management audience by offering calorie and nutrition tracking, with Fatsecret utilizing professional health practitioner integration while Fitatu focuses on AI-driven logging.
Fitia competes directly with Fitatu by offering identical AI-driven food logging features, including photo scanning, voice entry, and barcode tracking for calorie and macro management.
Both apps target weight management through AI-assisted logging and nutrition tracking, competing for the same user base seeking to reduce manual data entry.
Cal AI competes directly with Fitatu's core value proposition by prioritizing rapid, photo-based meal estimation for time-constrained users.
Both apps compete for the same calorie and nutrition tracking audience by offering AI-driven meal logging and personalized macro targets.
Both apps target weight management users with AI-driven food logging, creating direct competition for users seeking automated nutritional tracking.
Both apps compete for the same user base by offering freemium calorie and macro tracking tools with automated logging capabilities.
Both apps target weight management through AI-assisted food logging, creating direct competition for users seeking low-friction calorie and macro tracking.
Both apps target weight management through food logging, but Noom captures the clinical and behavioral psychology segment while Fitatu focuses on AI-driven precision tracking.
Both apps compete for the same nutrition tracking audience by using AI to reduce the manual friction of logging meals.
Both applications target weight loss and nutrition tracking via automated food logging, directly competing for users who prioritize low-friction entry methods.
Same space(18)
Diet & Training by Ann provides a holistic approach by combining workout programs with diet plans for a complete wellness experience.
Simple competes by using a gamified, AI-driven persona to make habit formation more engaging than traditional calorie counting.
Triggerbites serves a niche subset of the Fitatu audience by correlating food intake with specific digestive symptoms and sensitivities.
Olive targets the same health-conscious demographic by focusing on ingredient quality and toxin detection rather than just caloric intake.
Hevy complements Fitatu by focusing on the workout tracking side of the health journey, using social mechanics to drive retention.
OtterLife provides a broader health tracking experience, including sleep and stress, which complements Fitatu's nutrition-focused data.
Ivy targets users concerned with processed food ingredients, offering a scanner that identifies additives and seed oils.
Bear focuses on the ingredient analysis niche, helping users identify additives and toxins in packaged foods.
Nutrition Coach focuses on the meal planning aspect of the health journey, emphasizing long-term sustainability over strict calorie counting.
MacrosFirst appeals to power users who require high-precision macro tracking by deriving calories directly from macro inputs.
Snacky offers an AI-based nutrition roadmap that builds custom meal strategies based on individual lifestyle and goals.
SimpliFit provides an AI-powered food scanner designed to make calorie counting effortless for users seeking weight loss or muscle gain.
SnapCal functions as a direct alternative to Fitatu by reducing manual entry friction through AI-powered visual food recognition.
Simple targets the same weight-loss audience as Fitatu but shifts the focus from granular calorie counting to habit-based health coaching.
MacroFactor serves the same data-driven audience but differentiates through a proprietary dynamic energy expenditure algorithm that automates metabolic adjustments.
Cal AI competes for the same user base by prioritizing speed through photo-based nutrition analysis, though it currently faces significant stability issues.
Muscle Booster complements Fitatu by providing the structured physical activity plans that drive the caloric expenditure Fitatu users aim to track.
Yazio acts as a comprehensive alternative by bundling calorie tracking with intermittent fasting and meal planning tools.
New entrants(3)
Ore positions itself as a flexible meal logger that allows users to control and correct AI-generated estimates.
Kova targets the intersection of nutrition and metabolic health by pairing food logging with blood glucose trend analysis.
FoodAmigo offers a simple calorie and weight diary that emphasizes quick logging through photos or descriptive text.
