About Mood Meter - Tracker
Track how you feel in seconds and understand your mood patterns over time. Mood Meter is a fast, offline-first mood tracker that keeps your data private on your device.
KEY FEATURES
• One-tap mood logging with clear emoji-based options (Amazing, Happy, Okay, Sad, Terrible)
• Optional journal entry for each mood (title + notes)
• Calendar view to see multiple entries per day
• Insights and analytics: streaks, distribution, statistics
• Clean design with responsive typography and dark/light mode
OFFLINE-FIRST & PRIVATE
• Works entirely offline – no account required
• All data stored locally on your device (AsyncStorage)
• We do not collect, track, or share your personal data
UX DETAILS
• Fast navigation with bottom tabs
• Accessible typography via AtomicText and design tokens
• Smooth layouts optimized for all iPhone sizes
PERFECT FOR
• Building self-awareness
• Noting triggers and patterns
• Supporting mindfulness and wellbeing
Privacy Policy - https://umituz.com/projects/health-wellness/mood-meter/privacy
Terms and Conditions - https://umituz.com/projects/health-wellness/mood-meter/terms
KEY FEATURES
• One-tap mood logging with clear emoji-based options (Amazing, Happy, Okay, Sad, Terrible)
• Optional journal entry for each mood (title + notes)
• Calendar view to see multiple entries per day
• Insights and analytics: streaks, distribution, statistics
• Clean design with responsive typography and dark/light mode
OFFLINE-FIRST & PRIVATE
• Works entirely offline – no account required
• All data stored locally on your device (AsyncStorage)
• We do not collect, track, or share your personal data
UX DETAILS
• Fast navigation with bottom tabs
• Accessible typography via AtomicText and design tokens
• Smooth layouts optimized for all iPhone sizes
PERFECT FOR
• Building self-awareness
• Noting triggers and patterns
• Supporting mindfulness and wellbeing
Privacy Policy - https://umituz.com/projects/health-wellness/mood-meter/privacy
Terms and Conditions - https://umituz.com/projects/health-wellness/mood-meter/terms