
Caffeine Mode
Salud y fitness
Gratis · Compras dentro de la app · Diseñada para iPad
Caffeine Mode helps you drink smarter — not more.
Tailored to your metabolism, coffee type, and performance goals, Caffeine Mode tells you the perfect time to drink coffee — for maximum effect.
Why it works
Backed by world-class pharmacokinetic modeling and peer-reviewed science, Caffeine Mode is the first consumer app that recommends when to drink caffeine based on real biochemistry, not vague timers.
Scientific Foundations:
• NCBI Pharmacology: Caffeine half-life of 3–7 hours
• CYP1A2 enzyme studies: Major genetic variation in metabolism speed
• Adenosine receptor research: Optimal plasma level 1–3 mg/L
• Pharmacokinetics: Peak concentration ~45 minutes post-ingestion
• ISSN (Int’l Society of Sports Nutrition): Evidence-based dosage standards
Powered by science — not guesswork
1. Pharmacokinetic Modeling
• Bioavailability: 99%
• Volume of distribution: 0.6L/kg
• Time to peak concentration: 45 minutes
• Minimum effective dose: 1.0 mg/L
• Optimal performance zone: ~3.0 mg/L
2. Intelligent Timing Algorithm
• Reverse-PK engine to calculate best caffeine timing
• Effect duration computed based on decay curves
• Multi-factor confidence scoring
• In-app scientific explanations for each recommendation
Differentiated Value: From Tracking to Optimization
Most apps tell you how much caffeine you’ve consumed.
Caffeine Mode tells you when to drink caffeine to reach peak performance — exactly when it matters most.
Unique Features
1. Peak Performance Timing – Exclusive algorithm to hit your energy peak on time
2. Top Data-Backed – Medical-grade scientific accuracy
3. Battle-Style UI – High-impact visuals designed for high-performance users
4. 3-Step Optimization Flow – Select metabolism → Set peak goal → Get precise advice
Features Overview
• Personalized coffee timing suggestions
• Coffee type calculator (espresso, cold brew, etc.)
• Smart reminders for best impact
• Track caffeine use & performance correlation
• Weekly insights & health-safe ranges
• Export data (CSV/PDF), sync across devices
• Private by design – no login needed
Scientific AI + Statistics = Smarter Recommendations
What powers our algorithm:
• Statistical modeling: Regression from clinical trial datasets
• Time-series analysis: Learn from your daily trends
• Biostatistics: Account for population-level variation
• Machine learning: Adaptive personalization over time
Trusted data sources include:
• Peer-reviewed scientific journals
• Clinical trial registries
• Regulatory data (FDA, EFSA)
• Textbooks in pharmacology, nutrition, and biochemistry
Designed for:
• Productivity maximizers
• Biohackers and data nerds
• Health-conscious coffee drinkers
• Shift workers and frequent travelers
• Anyone tired of caffeine crashes or brain fog
Download Caffeine Mode now to take full control of your caffeine — with science on your side.
《Terms of Use Agreement》:https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Calificaciones y reseñas
Esta app no ha recibido suficientes calificaciones ni reseñas para mostrar un resumen.
El desarrollador (韵 刘) indicó que las prácticas de privacidad de la app pueden incluir el manejo de datos que se describe a continuación. Para obtener más detalles, consulta la política de privacidad del desarrollador .
Datos no asociados con tu identidad
Los siguientes datos pueden recopilarse, pero no están asociados con tu identidad:
- Salud y fitness
- Diagnóstico
Accesibilidad
El desarrollador aún no ha indicado cuáles funciones de accesibilidad admite esta app. Obtén detalles
Ficha técnica
- Vendedor
- 韵 刘
- Tamaño
- 4.8 MB
- Categoría
- Salud y fitness
- Compatibilidad
Requiere iOS 16.0 o posterior.
- iPhone
Requiere iOS 16.0 o posterior. - iPad
Requiere iPadOS 16.0 o posterior. - Mac
Requiere macOS 13.0 o posterior y una Mac con el chip M1 de Apple o posterior. - Apple Vision
Requiere visionOS 1.0 o posterior.
- Idiomas
- Inglés
- Edad
4+
- 4+
- Compras dentro de la app
Sí
- Yearly Pro Version USD 29.99
- Monthly Pro Version USD 4.99
- Copyright
- © 2025 Yiming Hu