Clean Label Project Mobile vs its rivals

Side-by-side comparison against Clean Label Project Mobile's closest competitors — identity, store metrics, ratings & sentiment, and strategic intel.

Core Identity
DeveloperClean Label ProjectKosco Digital LLCyounes ahmedyounes ahmedJommi UG (haftungsbeschrankt)Jommi UG (haftungsbeschrankt)Henrik DuerM6 Software, LLCApps LabsBiographics Consultoria e Design LTDA
CategoryHealth & FitnessHealth & FitnessSportsHealth & FitnessHealth & FitnessHealth & FitnessHealth & FitnessHealth & FitnessHealth & FitnessReference
PlatformiOS, AndroidiOS, AndroidiOSiOSiOSiOSAndroid, iOSiOSiOSiOS
Store Metrics
Rating5.0 / 54.8 / 55.0 / 53.0 / 53.5 / 53.0 / 55.0 / 52.5 / 54.2 / 55.0 / 5
Ratings Count228,120224116256
PriceFreeFreeFreeFree$2.99$2.99Free$0.99Free$0.99
Release DateFeb 12, 2026Aug 6, 2025Feb 9, 2017Sep 7, 2016Oct 20, 2013Dec 23, 2014Dec 10, 2024Jun 7, 2011Mar 7, 2025May 4, 2019
Last UpdatedApr 13, 2026Apr 9, 2026Mar 19, 2017Sep 7, 2016Sep 2, 2016Sep 1, 2016May 19, 2026Jun 7, 2011Apr 16, 2025Aug 6, 2025
Sentiment & Reviews
Sentiment-mixed-----mixed--
Score-35/100-----50/100--
Praises-
  • Personalized meal recommendations provide a convenient way for busy professionals to choose healthy lunch options
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Complaints-
  • Aggressive subscription paywalls block all app functionality immediately after the initial user questionnaire is completed
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Requests----------
Strategic Intel
Strengths
  • Science-based testing outcomes provide higher consumer trust than general nutritional data.
  • Verified product database functions as a specialized barrier against generic health apps.
  • Restaurant-first specialization solves specific athlete pain points
  • AI-driven macro-fitting provides immediate ordering advice
  • High-intent diet library captures immediate search traffic for specific protocols.
  • Focused value proposition for niche users
  • Simple, non-intrusive daily advice format
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  • Proprietary lifestyle modeling logic provides a distinct health metric
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  • Official TACO dataset integration provides high-trust academic accuracy
  • Dynamic calculation engine enables custom portion tracking
Weaknesses
  • Manual search interface creates high friction at the shelf.
  • Lack of AI-assisted scanning limits utility compared to peers.
  • 0-rating on Android platform indicates low visibility or adoption.
  • Aggressive paywall blocks all functionality post-onboarding
  • AI-generated menu data frequently hallucinates non-existent items
  • Static text-only interface lacks interactivity.
  • Minimal 2-rating volume indicates low market penetration.
  • Static content model lacks interactivity
  • No monetization strategy
  • Zero community features
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  • $0.99 entry barrier limits conversion vs free incumbents
  • 13-year update stagnation erodes user trust
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  • Manual data entry requirement creates high friction
  • Paid-upfront pricing model limits user acquisition
Pricingfreesubscriptionfreefreepaidpaidsubscriptionpaidfreepaid
MomentumMaintenanceIntenseZombieZombieZombieZombieIntenseZombie--
Update Cadence2 versions, 2 majors/6mo, ~0d avg5 versions1 versions1 versions5 versions4 versions5 versions1 versions--

Compare Clean Label Project Mobile head-to-head

Disclosure: Independent intel to help mobile builders succeed.

AI-powered analysis with editorial review, built from publicly available sources. Marlvel.ai is not affiliated with, endorsed by, or sponsored by Clean Label Project Mobile, its developer, the app publisher, Apple, or Google Play. All trademarks, logos, and screenshots referenced remain the property of their respective owners.

Data licensed under CC-BY-NC 4.0