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Health-Tracking Caffeine Apps

The Jawbone Coffee Tracking App Can Help Improve Your Health

— March 10, 2014 — Tech
If you are a latte-lover like myself, then the Jawbone coffee tracking app is perfect for you. If you are ever wondering if that late afternoon coffee or latte will make it harder to fall asleep at night, you don't need to worry anymore. The Jawbone UP Coffee app will track your caffeine consumption and it will tell you if the caffeine you wish to have will affect your sleep patterns.

The UP Coffee app from Jawbone has the ability to display how much coffee is currently in your system with a graphic that looks like a flask filled with droplets. As you drink more and more caffeinated drinks, the higher the number of droplets will pour in. Caffeinated drinks include coffee, soda and tea.

As the flask fills up with more and more caffeine, a small analog-style needle will get closer and closer the 'Edgy' zone, letting you know that you may need to slow down on the caffeine intake.
Trend Themes
1. Caffeine Consumption Tracking - Opportunity for developing apps or devices that help people track and monitor their caffeine consumption for better health.
2. Sleep and Caffeine - Opportunity for innovations that analyze the relationship between caffeine intake and sleep patterns to help individuals optimize their sleep quality.
3. Visualization of Caffeine Levels - Opportunity for creating visual representations or graphics that depict the amount of caffeine in a person's system for better awareness and informed decision-making.
Industry Implications
1. Health and Wellness - Disruptive innovation opportunities lie in the development of health and wellness apps or devices that focus on tracking and optimizing caffeine consumption and its impact on sleep patterns.
2. App Development - Opportunity for app developers to create innovative caffeine tracking and analysis applications that provide personalized insights and recommendations.
3. Data Visualization - Disruptive innovation opportunities exist in the field of data visualization, specifically in representing caffeine levels in visually engaging and informative ways.
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