Report updated Jun 5, 2026
Caffeine Intake Tracker Log
For individuals focused on health, sleep quality, and caffeine habit management.
Caffeine Intake Tracker Log is an established health & fitness app that is completely free.
What is Caffeine Intake Tracker Log?
Caffeine Intake Tracker is a health utility for monitoring daily caffeine consumption in milligrams on iOS.
Users hire this app to manage sleep and focus by quantifying stimulant intake, but the manual entry contract requires high user discipline that automated alternatives now bypass.
Current Momentum
v1.0 · 3mo ago
Maintenance- Released initial version Dec 2025.
- Updated stability in Feb 2026.
Active Nemesis
Fastic Weight Loss & Fasting
By HealthVida GmbH & Co. KG.
Other Rivals
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What makes this app unique?
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What Are The Key Features?
Records daily caffeine consumption in exact milligrams
Tracks daily intake against safety thresholds to prevent overconsumption
Performs all analysis locally without cloud syncing or account requirements
Provides analysis of caffeine habits over time based on logged data
How much does it cost?
- Free
The app is currently distributed as a free utility with no visible in-app purchase or subscription gates.
Who Built It?
What other apps does Mustafa Kulac make?
What do users think recently?
Analysis in progress, available soon
What is the competitive landscape for Caffeine Intake Tracker Log?
Where is it available?
Localized markets (9)
How's The Health & Fitness Market?
Market outlook for this category
Available very soon
The rivals identified
Nemeses(1)
Fastic competes for the same health-conscious user base by positioning fasting and nutrition tracking as a holistic lifestyle management tool.
Differentiators
- Leverages AI-driven restaurant menu scanning to provide immediate nutritional context for users dining out.
- Gamifies the user experience through a proprietary 'Fastic Score' that tracks long-term health consistency.
- Offers advanced protein-specific fasting protocols that go beyond simple calorie or caffeine intake logging.
Head to head
The target app should lean into its 'precision tool' identity, avoiding feature creep while emphasizing speed and simplicity over the complex, multi-feature approach of Fastic.
Contenders(4)
It serves as a functional alternative for users who want simplified, color-coded guidance on their nutritional intake.
This app competes for the same audience by using AI to correlate dietary intake with physical symptoms like bloating.
Differentiators
- Uses specialized facial analysis technology to correlate food intake with physical symptoms like bloating.
- Provides tailored debloating programs that offer actionable health interventions based on the user's logged data.
Nourish targets users interested in the physiological impact of their diet, directly overlapping with the health-focused caffeine tracking audience.
This app competes by bundling multiple health metrics, including water and fasting, which often overlaps with caffeine tracking needs.
Same space(3)
This app competes by modeling the long-term health impacts of daily lifestyle choices, including diet.
It provides a broad health and fitness platform that includes nutritional guidance as part of a larger wellness package.
Differentiators
- Combines exercise programming with nutritional guidance to provide a complete, all-in-one health management platform.
- Includes live support and community features that foster higher user retention through social accountability.
This app competes by offering medical-grade dietary tracking, which is a common use case for caffeine-sensitive individuals.
Differentiators
- Provides comorbidity-specific dietary guidelines that offer clinical-grade advice for users with sensitive health requirements.
- Uses a food suitability analysis engine to flag ingredients that may trigger specific medical symptoms.
Compare Caffeine Intake Tracker Log against every rival
All rivals in one side-by-side table — identity, store metrics, ratings & sentiment, and strategic intel — plus a head-to-head page for each.
The outtake for Caffeine Intake Tracker Log
Strengths to defend, gaps to attack
Core Strengths
- On-device processing ensures privacy-conscious users remain within the app
- Minimalist interface reduces cognitive load for daily logging
Critical Frictions
- Manual entry requirement creates high friction
- Lack of monetization model limits reinvestment
- No cloud-sync prevents cross-device habit tracking
Growth Levers
- Integrate wearable health data to automate intake logging
- Introduce premium insights for sleep-quality correlation
Market Threats
- Conversational AI assistants automate the logging process
- Macro trackers with AI scanning capture the same user base
What are the next best moves?
Integrate Apple HealthKit because manual entry is the primary churn risk → increase daily active habit
Manual entry is the top friction point compared to AI-automated competitors like Calsense.
Trade-off: Pause the pattern-insights expansion — automation is a higher-leverage retention play.
Ship premium insights tier because the current free model lacks revenue → unlock long-term sustainability
The app currently has no monetization, limiting the ability to fund future development.
Trade-off: Deprioritize UI polish on the logging screen — revenue stability is the current priority.
A counter-intuitive read
The lack of cloud sync is a feature, not a bug, as it serves as a privacy-first moat that AI-heavy competitors cannot replicate without compromising their data-harvesting models.
Feature Gaps vs Competitors
- AI-automated meal scanning (available in Calsense)
- Wearable device integration (available in Madsen Akademie)
- Conversational voice logging (available in Kim)
Key Takeaways
The app provides a clean, privacy-focused utility, but manual entry creates a friction barrier that AI-driven rivals exploit, so the PM must prioritize HealthKit integration to automate logging and secure retention.
Where Is It Heading?
Stable
The health-tracking market is consolidating around automated, AI-assisted logging, which directly threatens the manual-entry workflow of this app. Without integrating passive data sources or introducing a monetization model, the app risks becoming a static utility that loses relevance to more dynamic, automated alternatives.
The app maintains a stable, manual-entry utility model, but the lack of feature expansion leaves it exposed to AI-native competitors.
The absence of monetization limits the developer's ability to compete with high-frequency release cadences from venture-backed health apps.