| Core Identity |
| Developer | HealthifyMe Private Limited | Municorn Limited | Mehmet Bayram | Apps Labs | ZipoApps | DEEP FLOW SOFTWARE SERVICES | Anthony Tietjen | FLO HEALTH UK LIMITED | Winkpass Creations, Inc. | BioWink GmbH |
| Category | Health & Fitness | Health & Fitness | Health & Fitness | Health & Fitness | Health & Fitness | Health & Fitness | Utilities | Health & Fitness | Health & Fitness | Health & Fitness |
| Platform | Android, iOS | Android, iOS | iOS | iOS | iOS | iOS, Android | iOS | iOS, Android | Android, iOS | iOS |
| Store Metrics |
| Rating | 4.6 / 5 | 4.7 / 5 | 0.0 / 5 | 4.4 / 5 | 4.4 / 5 | 4.7 / 5 | 0.0 / 5 | 4.8 / 5 | 4.4 / 5 | 4.8 / 5 |
| Ratings Count | 5,970 | 21,276 | 0 | 23 | 116 | 926 | 0 | 1,870,367 | 4,864 | 394,695 |
| Price | Free | Free | Free | Free | Free | Free | $4.99 | Free | Free | Free |
| Release Date | Dec 17, 2014 | Jan 31, 2024 | Aug 17, 2022 | Oct 6, 2024 | Nov 18, 2024 | Jul 25, 2024 | May 22, 2023 | Oct 3, 2015 | Dec 9, 2009 | Jul 9, 2013 |
| Last Updated | Apr 9, 2026 | May 18, 2026 | Jan 22, 2024 | Jul 4, 2025 | May 12, 2026 | Mar 13, 2025 | Sep 19, 2025 | May 12, 2026 | Mar 16, 2026 | May 13, 2026 |
| Sentiment & Reviews |
| Sentiment | negative | terrible | - | - | - | mixed | - | negative | mixed | negative |
| Score | 20/100 | 25/100 | - | - | - | 45/100 | - | 25/100 | 35/100 | 35/100 |
| Praises | - Extensive food database covering diverse Indian and international cuisines supports accurate tracking
| - Accurate food database entries allow for quick and effortless daily calorie logging
| - | - | - | - Food scanning functionality provides significant utility for tracking daily nutritional intake and progress
| - | - Accurate cycle tracking and ovulation predictions provide reliable health insights for long-term users
| - Long-term cycle tracking utility provides consistent value for users over many years of use
| - Accurate cycle prediction and symptom tracking provide significant health insights for long-term users
|
| Complaints | - Aggressive paywalling of basic features like macro tracking and calorie goals frustrates long-term users
| - Deceptive subscription practices and hidden charges create significant financial frustration for new users
| - | - | - | - Inaccurate AI food recognition and lack of manual editing tools frustrate users seeking precision
| - | - Aggressive subscription prompts and paywalls block access to basic health tracking and educational features
| - Aggressive advertising content prevents users from accessing core tracking features after recent updates
| - Aggressive subscription upsell popups interrupt the core tracking workflow multiple times per session
|
| Requests | - Bidirectional data synchronization with Apple Health and Health Connect for comprehensive tracking
| - Comprehensive health data syncing including nutrition and fiber metrics for better tracking
| - | - | - | - Manual override functionality for food logs and nutrition data to ensure logging accuracy
| - | - Partner integration features would allow users to share symptom data and cycle status
| - Option to disable specific automated spotting markers for users experiencing irregular perimenopausal cycles
| - Expanded exercise and health metric logging options to better capture diverse physical activities
|
| Strategic Intel |
| Strengths | - Infinite food database covering global cuisines sustains high initial adoption
- AI-driven Snap technology reduces logging friction compared to manual-entry competitors
- Human-coaching tier provides a high-margin revenue anchor
| - AI-first food recognition lowers the barrier to entry for casual users
- Cunningham-based BMR calculations provide scientific credibility for personalized meal plans
| - Native iOS architecture ensures faster load times and lower battery consumption than cross-platform competitors.
- Minimalist interface reduces cognitive load for users overwhelmed by feature-heavy dashboards.
| - | - Automated photo-based macro analysis reduces user friction
- Lean interface avoids legacy feature bloat
| - Fasting-first habit loop drives daily active usage
- Barcode scanner reduces friction for new users
| - Minimalist interface avoids subscription-based monetization friction
- One-time purchase model appeals to privacy-conscious users
| - 460 million user base drives AI-model accuracy [Metric: Total Users]
- ISO 27001/ISMS certification establishes high-level security [Mechanism: Privacy-first design]
- All-in-one lifecycle content covers puberty to perimenopause [Mechanism: Unified interface]
| - 17-year brand history builds trust with a mature, loyal user base
- Discreet app icon design supports privacy-conscious user segments
| - Clinical brand identity sustains user trust
- Multi-mode tracking extends user lifecycle
- Wearable integration automates biometric data input
|
| Weaknesses | - Aggressive paywalling of previously free features drives high churn
- Poor support responsiveness regarding subscription cancellations
- Technical instability post-update
| - Lack of in-app cancellation forces reliance on unresponsive email support
- Premium tier pricing lacks transparency before payment
- Incomplete health data syncing limits utility for power users
| - Zero automated logging features force high-friction manual entry.
- No cloud-save functionality despite user demand for cross-device data persistence.
| - | - 116 total ratings indicate low market penetration
- Lacks proprietary food database for regional accuracy
- No conversational coaching features
| - Lack of manual data correction creates precision churn
- Aggressive subscription prompts drive negative sentiment
| - Manual entry requirement creates high friction
- Lacks integration with health hardware or external data ecosystems
| - Historical data loss following the latest update [Metric: 1★ review frequency]
- Aggressive subscription prompts blocking basic features [Metric: Sentiment Score 25]
- Lack of responsive customer support for billing [Metric: Billing complaint volume]
| - Aggressive ad-blocking prevents core feature access
- Data synchronization failures cause historical data loss during device migration
| - Aggressive subscription popups drive churn
- Lack of flexibility for irregular cycles
- Intrusive notifications disrupt user privacy
|
| Pricing | freemium | freemium | free | free | freemium | freemium | paid | subscription | subscription | subscription |
| Momentum | Maintenance | Active | - | - | Zombie | Maintenance | - | Active | Maintenance | Intense |
| Update Cadence | 2 versions, ~34d avg | 5 versions, ~19d avg | - | - | 1 versions, 1 majors/6mo | 2 versions, 1 majors/6mo, ~232d avg | - | 5 versions, 1 majors/6mo, ~15d avg | 5 versions, 1 majors/6mo, ~108d avg | 5 versions, ~12d avg |
