FitNow
Publisher DNA
What defines FitNow?
AI intelligence is not yet available for FitNow. The portfolio data below is up to date.
Portfolio
What does FitNow ship?
Apps
1 app analysed
Lose weight & reach your health goals with Lose It! diet app and food tracker!
AI-powered voice and photo logging reduces manual tracking friction
- The extensive food database and barcode scanner make daily calorie tracking simple for long-term users
- Aggressive advertising and persistent upsell prompts degrade the experience for both free and premium users
Distributed across 9 markets, strongest in Europe.
Based on 1 of 1 app with localized market data · last scanned .
Americas (3)
- Brazil1 / 1
- Mexico1 / 1
- United States1 / 1
Europe (4)
- France1 / 1
- Germany1 / 1
- Portugal1 / 1
- Spain1 / 1
Asia-Pacific (2)
- Japan1 / 1
- South Korea1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
0
Positive apps
1
Neutral / mixed
0
Negative apps
45/100
Avg sentiment score
Rivals
Who does FitNow compete with?
The rivals identified
Nemeses(2)
Both apps target weight management through calorie and macro tracking, competing for the same user base by offering extensive food databases and barcode scanning tools.
Both apps compete for the same weight management audience, but the rival captures a massive user base through a completely free model that directly challenges the premium conversion strategy of Lose It!.
Contenders(12)
Both apps compete for the same calorie and macro-tracking audience, with Cronometer targeting precision-focused users while Lose It! relies on a massive, community-sourced database.
Both apps target calorie and macro tracking users with AI-powered logging tools, creating direct competition for users seeking automated food entry.
Both apps target users seeking structured weight loss through calorie and nutrition tracking, competing directly for the same audience via automated logging tools.
Both apps target the weight management market, competing for users seeking structured nutrition and metabolic health tracking through AI-assisted logging.
Cal AI competes for the same time-pressed users by automating nutrition analysis through photo-based calorie estimation.
Both apps target weight management and nutritional tracking, competing for the same user base through AI-driven logging and barcode scanning features.
Both apps target weight-loss seekers with calorie and macro tracking, competing directly for the same user base through freemium models and extensive food databases.
Both apps compete for the same calorie and macro tracking audience using freemium models and barcode scanning as primary entry points for daily food logging.
Both apps target health-conscious users seeking weight loss through calorie and macro tracking, creating direct competition for the same user base.
Both apps target individuals seeking weight management through calorie and macro tracking, competing directly for daily user engagement via food logging tools.
Both apps target weight loss through calorie and macro tracking, competing for the same user base seeking automated logging tools.
Both apps compete for the same weight management audience by offering calorie tracking and barcode scanning within a freemium model. They target users seeking structured nutritional logging and activity integration.
Same space(28)
Lose Weight at Home targets the same weight-loss audience by combining exercise training with basic calorie tracking.
HitMeal targets the same weight-management audience by providing guided meal plans alongside calorie tracking.
Uses gamification and AI to attract users who find traditional calorie counting apps like Lose It! too clinical or restrictive.
Serves as a focused weight-tracking tool for users who want to monitor progress without the full nutrition-logging overhead of Lose It!.
Diet & Meal Planner serves the same weight-loss audience by combining calorie tracking with nutritionist-developed diet plans.
Eat This Much targets the same nutrition-focused audience by automating meal planning based on specific dietary goals.
BURN targets the same weight-loss audience by combining personalized exercise plans with nutritional guidance.
Happy Scale complements calorie tracking by providing mathematical trend analysis to help users navigate weight plateaus.
Acts as a centralized health dashboard that aggregates the data Lose It! tracks, serving as a broader platform for wearable device owners.
See How You Eat serves the same weight-management audience by replacing calorie counting with photo-based meal journaling.
Hevy serves the same health-conscious audience but focuses on strength training progress rather than nutritional intake.
Provides a minimalist weight-tracking tool for users who want to monitor progress without the complexity of full nutrition logging.
Lyfta serves the same fitness-focused audience by providing a manual-first gym logging utility.
Nutrition Coach serves the same weight-management audience by prioritizing sustainable habit formation over restrictive dieting.
MacrosFirst targets the same nutrition-focused audience but uses a proprietary engine to calculate calories directly from macro inputs.
Fitness at Home targets the same weight-loss audience by integrating exercise training with water and meal tracking.
Calo serves the same calorie-tracking audience but reduces manual entry friction by using AI-powered image recognition to identify food items.
Automates the planning side of weight management, serving users who want to manage nutrition through pre-planned meals.
Noom targets the same weight-loss demographic but shifts the focus from simple calorie counting to behavioral psychology and clinical support.
CaloCare serves the same calorie-tracking audience by offering multi-modal logging to simplify nutritional data entry.
StepUp complements the calorie-tracking habit by focusing on physical activity and social competition rather than nutritional intake.
Offers AI-driven health coaching that competes for the same weight-loss audience by focusing on habit formation rather than calorie tracking.
Provides passive activity tracking that complements the active food logging of Lose It! for users focused on simple habit formation.
MacroFactor targets the same data-driven nutrition audience but uses a dynamic algorithm to adjust energy expenditure automatically.
Cal AI competes for the same time-pressed users by automating nutrition analysis through photo-based calorie estimation.
Competes for the same calorie-tracking audience by emphasizing AI-driven convenience to lower the barrier to entry for casual users.
Omo serves the same weight-loss audience by pairing calorie tracking with psychology-based educational content.
Carb Manager targets the same weight-loss segment but specializes in metabolic tracking for keto and low-carb diets.
New entrants(2)
Competes in the calorie-tracking space by offering AI-assisted logging to simplify the user experience for weight management.
Calife serves the same calorie-tracking audience by using AI to analyze meals from photos.