Report updated May 19, 2026
AI Calorie Tracker by Eatwise
For individuals focused on weight management, muscle gain, or nutritional tracking who require automated logging tools.
AI Calorie Tracker by Eatwise is a challenged health & fitness app that is free with in-app purchases. With a 4.6/5 rating from 20K reviews, it faces significant user friction. Users particularly appreciate ai-driven food logging provides a convenient way to track daily nutritional intake without manual entry, though account access failures and password reset malfunctions prevent users from logging into their purchased subscriptions remains a common concern.
What is AI Calorie Tracker by Eatwise?
Eatwise AI is a calorie and macro tracking app for iOS and Android that utilizes AI for automated meal logging.
Users hire the app to automate the labor-intensive process of nutritional logging, seeking to reach weight or fitness goals with minimal manual entry.
Current Momentum
v1.5 · today
Maintenance- Ships frequent stability and performance updates.
- Maintains high-velocity AI feature iteration.
Active Nemesis
Lose It! – Calorie Counter
By FitNow
Other Rivals
7-Day Rank Pulse 🇺🇸
Health & FitnessNo ranking data
Rating Pulse 🇺🇸
Recent User MoodAI-powered deep analysis surfacing high-signal insights. Still in beta, accuracy improves daily. For informational purposes only.
What makes this app unique?
What Does It Look Like?
How Is The App's Momentum Right Now?
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What Are The Key Features?
Calculates caloric intake and nutritional breakdown via automated logging tools
Scans product barcodes to instantly add nutritional data to the daily log
Syncs fasting schedules with water intake and calorie logs
How much does it cost?
- Free tier with basic tracking
- Eatwise Pro subscription for unlimited access
The freemium model gates advanced meal planning and unlimited features behind a mandatory subscription, which currently drives user frustration.
Who Built It?
DEEP FLOW SOFTWARE SERVICES
Deploying specialized generative AI tools to streamline productivity, language acquisition, and device utility for a global mobile audience.
Portfolio
13
Apps
Who is DEEP FLOW SOFTWARE SERVICES?
Deep Flow Software Services operates as a high-velocity AI product studio, specializing in the rapid verticalization of generative AI across education, productivity, and utility sectors. Their structural advantage lies in a multi-model architecture and a 'multi-agent' library that differentiates their flagship chat tools from generic LLM wrappers. The publisher's trajectory shows a strategic shift from general utilities toward specialized AI tutors and cognitive training tools, signaling a move to capture higher-intent educational subscriptions.
Who is DEEP FLOW SOFTWARE SERVICES for?
- Students
- Language learners
- General consumers seeking AI-assisted efficiency
- Automated device maintenance
Portfolio momentum
Extremely high development cadence with 69 updates across 25 active apps in the last 6 months, including a major release within the last week.
What other apps does DEEP FLOW SOFTWARE SERVICES make?
Text to Speech - Listen AI
Wonder - AI Art Generator
Chat AI: Ask Agent Anything
Bible Path: Prayers & Widgets
Retake AI Face & Selfie Editor
Nerd AI - Math Problem Solver
What do users think recently?
High confidence · Latest 72 of 111 total reviews analyzed · Based on 111 reviews. Signal may be noisy.
How did the latest release land?
What is the recent mood?
Recent user voice shows a frustrated sentiment. Users appreciate ai-driven food logging provides a convenient way to track daily nutritional intake without manual entry, but report account access failures and password reset malfunctions prevent users from logging into their purchased subscriptions and inaccurate nutritional calculations and ai recognition errors undermine the reliability of the calorie tracking data.
What Users Love
What Frustrates Users
What Users Want
What is the competitive landscape for AI Calorie Tracker by Eatwise?
How's The Health & Fitness Market?
Eatwise AI utilizes a freemium model that gates advanced meal planning and unlimited features behind a mandatory subscription. The app currently holds a #38 Free rank in the US Health & Fitness category, but its #177 Grossing rank suggests significant monetization friction relative to its discovery volume.
How does it evolve in the Health & Fitness market?
Eatwise AI holds a #38 Free rank in the US Health & Fitness category, but its #177 Grossing rank indicates significant monetization friction. The gap between discovery and revenue suggests that users are not converting to the Pro tier due to technical instability.
| Country | Category | Chart | Rank | Change |
|---|---|---|---|---|
| 🇵🇾 Paraguay | Health & Fitness | AndroidGrossing | #47 | ▲90 |
| 🇲🇾 Malaysia | Health & Fitness | AndroidGrossing | #97 | ▲41 |
The rivals identified
The Nemesis
Head to Head
The target app must pivot from generic calorie counting to AI-driven personalization to differentiate from the database-heavy incumbent.
What sets AI Calorie Tracker by Eatwise apart
AI-first approach to logging allows for faster, more natural language entry than manual database searching.
Leaner, modern codebase likely offers a more responsive UI experience than legacy-heavy competitors.
What's Lose It! – Calorie Counter's Edge
Massive, crowd-sourced food database ensures higher reliability for niche or regional food items.
Proven, multi-year retention loops keep users engaged far beyond the initial weight-loss motivation phase.
Contenders
Integrates cognitive behavioral therapy principles to address the psychological triggers behind eating habits.
Human-led coaching model creates a high-touch service layer that pure tracking apps cannot replicate.
Provides specialized keto-focused macro calculators and net-carb tracking that generic apps often overlook.
Curated recipe database specifically tailored to low-carb dietary restrictions and nutritional requirements.
Calorie Counter - MyNetDiary
★4.8 (146.6K)MyNetDiary Inc.
⚡Offers a highly polished, clinical-grade tracking experience that appeals to users seeking data precision.
Includes medically-backed nutrition planning tools that provide more clinical depth than standard fitness apps.
High-fidelity barcode scanning and photo-logging features reduce the friction of manual data entry.
Peers
Focuses on meal planning and recipe suggestions rather than just raw calorie and macro logging.
Visual-first design language prioritizes user experience and aesthetic appeal over clinical data density.
Fitbod: Gym & Fitness Planner
★4.8 (267.9K)Fitbod Inc.
⚡Adjacent fitness category focusing on strength training, often used in tandem with nutrition trackers.
Generates personalized workout plans based on available equipment and previous performance metrics.
Strong focus on progressive overload tracking which complements the target app's nutritional focus.
New Kids on the Block
Positions fitness as a low-effort, high-reward activity to lower the barrier for sedentary users.
Utilizes short-form, video-based workout content that mimics social media consumption habits.
AI Calorie Counter - Appediet
★4.7 (59.2K)Appediet Information PTE. LTD
⚡A recent market entrant showing high velocity with 15 releases in the last six months.
Aggressive release cadence suggests rapid iteration on AI-based food recognition and logging features.
Focuses on a simplified, mobile-first AI interface to capture users intimidated by complex legacy trackers.
The outtake for AI Calorie Tracker by Eatwise
Strengths to defend, gaps to attack
Core Strengths
- AI-first logging reduces manual entry friction
- Intermittent fasting integration expands addressable diet-segment market
Critical Frictions
- Account lockout issues prevent paid-user access
- AI recognition errors generate inaccurate nutritional data
- Aggressive monetization frustrates new users
Growth Levers
- Develop verified food database to augment AI accuracy
- Implement functional free trial to lower onboarding friction
Market Threats
- Established incumbents with massive databases siphon users
- Poor sentiment trends accelerate churn to reliable competitors
What are the next best moves?
Rebuild authentication flow because account access failures are the #1 complaint → reduce churn
Sentiment analysis identifies account access as the primary driver of negative reviews.
Trade-off: Pause the intermittent fasting feature expansion — authentication stability is a prerequisite for retention.
Audit AI recognition accuracy because nutritional discrepancies are the #2 complaint → improve retention
Users report significant discrepancies between actual labels and AI-generated data.
Trade-off: Deprioritize new social feed features — data reliability is the core utility requirement.
A counter-intuitive read
The app's aggressive monetization is not the primary failure; the failure is that the AI-logging utility is not yet accurate enough to justify the subscription price.
Feature Gaps vs Competitors
- Verified food database (available in Lose It! but missing here)
- Wearable device integration (available in Lose It! but missing here)
Key Takeaways
- Reliability is the primary churn driver; technical stability must precede feature expansion.
- The current monetization model is too aggressive for an app with high-frequency AI recognition errors.
- Competitive differentiation depends on moving from generic tracking to personalized, high-accuracy nutritional insights.
Eatwise AI offers a strong utility proposition through AI-driven logging, but technical instability in authentication and data accuracy drives high churn, so the PM must prioritize core reliability over new feature growth to stabilize the user base.
Where Is It Heading?
Declining
The nutrition-tracking market is consolidating around high-accuracy, database-backed incumbents, leaving Eatwise AI exposed due to its reliance on unverified AI recognition. Unless the team pivots to prioritize data reliability and authentication stability, the current churn trend will continue to erode the user base through the next two quarters.
Persistent account access failures in the latest release drive high churn, which compounds the negative sentiment already visible in reviews.
Inaccurate AI nutritional data leads to user distrust, which forces high-intent users to migrate to more reliable, database-heavy incumbents.