The First Wellness App That Connects All the Dots

Most wellness apps focus on one thing: meditation, sleep, mood, or periods. But your emotional wellness doesn't work in silos. Everything is connected. That's why we built My Bad Day differently.

The Insight That Started Everything

One of our founders kept detailed journals for years. Mood journals, sleep logs, period trackers - everything separate.

One day, while reviewing months of data, she noticed something: her anxiety wasn't random. It spiked 2-3 days before her period, but only when she'd slept poorly that week.

This single insight changed her approach to self-care. She could anticipate difficult days. Prepare for them. Be gentle with herself when they arrived.

But getting that insight required manually cross-referencing three different apps and a spreadsheet.

We thought: What if an app could do this automatically?

What Makes My Bad Day Different

We Track What Actually Matters

Mood - Not just "good" or "bad," but the full emotional spectrum with context

Sleep - Both duration and quality, because 8 hours of restless sleep isn't the same as 8 hours of deep rest

Menstrual Cycle - Flow, symptoms, and hormonal phases that influence everything else

Relationships - The people in your life and how interactions affect your emotional state

Each dimension tells a partial story. Together, they reveal the full picture.

We Find the Connections

Our AI doesn't just collect data - it analyzes how everything relates:

These insights would take months to discover manually. The app surfaces them automatically.

We Help You Anticipate Patterns

Once the app learns your patterns, it helps you see what's coming:

Note: These are pattern observations based on your historical data, not medical predictions.

Common User Discoveries

The following are composite examples based on common user reports and anonymized data patterns:

Sleep-Mood Correlation: Many users discover specific sleep thresholds that significantly affect next-day emotional regulation. Understanding this empowers prioritizing sleep during high-stress periods.

Cycle-Emotion Patterns: Users tracking menstrual cycles often report that seeing emotional patterns overlaid on hormonal phases provides clarity and reduces self-blame for mood fluctuations.

Relationship Impact Awareness: Some users discover which relationships consistently correlate with positive mood shifts and which ones precede increased stress - informing boundary-setting and social prioritization decisions.

Multi-Factor Triggers: Users frequently report that their most valuable insight is discovering that mood shifts aren't caused by single factors but combinations (e.g., poor sleep + specific cycle phase + social isolation).

The Technology That Makes It Possible

We built what we call Cross-Domain Intelligence - an analytics engine that connects data across different life dimensions.

It uses:

All while keeping your data private and secure. We never sell your data or use it to train models for others.

Why This Matters

Mental health isn't separate from physical health. Your emotions aren't separate from your sleep, your cycle, or your relationships.

Yet many wellness apps treat these as isolated problems with isolated solutions.

We believe the future of wellness is integration. Understanding how everything connects. Seeing the full picture of what influences how you feel.

Because when you understand your patterns, you gain perspective on your emotional experiences.

You can work with your body instead of against it. You can prepare instead of only react. You can make informed decisions about self-care.

Try It Yourself

My Bad Day is available on iOS and Android.

Track for two to three weeks to give the system enough data to identify patterns. Users typically report discovering at least one unexpected connection.

Your emotions follow patterns. We'll help you see them.

Download now and explore your patterns. Free to start. No credit card needed. Your data stays yours.

Disclaimer: My Bad Day is a wellness tracking tool, not a medical device. It is not intended to diagnose, treat, cure, or prevent any disease. Pattern recognition features provide observations based on your data, not medical advice. Always consult healthcare professionals for mental health concerns.