MeloMed is a private journaling app that analyzes the emotional tone of your entries and matches them with music from your own library, creating personalized playlists that reflect your mood. Users write journal entries, and the AI‑driven emotional engine scores the moment, offering insights and mood trends while keeping all data encrypted. The service is grounded in research on music, emotion, and expressive writing.
Funding
Funding not disclosed
Founders
Product
Problem
Mental wellbeing often suffers from a lack of tools that connect personal emotional expression with everyday activities, leaving users without a seamless way to reflect on their feelings and recognize patterns over time.
Solution
MeloMed offers a private journaling app that leverages AI to analyze the tone, energy, and rhythm of users' written entries. The app matches the detected mood with a curated playlist drawn from the user's existing music library, creating a personalized soundtrack that reflects the current emotional state. By linking journal content, listening habits, and contextual signals such as time of day, MeloMed provides visual mood trends and insights that help users understand how their habits influence wellbeing. All data is encrypted in transit and at rest, ensuring privacy while delivering research‑backed reflections on music and emotion.
Target Audience
Primary users are individuals seeking a personal, privacy‑focused tool for emotional reflection, including mental‑health enthusiasts, journaling practitioners, and music lovers who want to connect their listening habits with mood insights.
Features
- AI-driven emotional engine that reads tone, energy, and direction from journal text and music listening patterns
- Automatic generation of mood‑matched playlists using songs already owned by the user
- Mood trend tracking dashboard that visualizes changes in calm, stress, fatigue, and other states over time
- Customizable journaling themes and templates to encourage regular reflective writing
- End‑to‑end encryption and privacy‑by‑design architecture that does not sell user data
- Integration of research findings from Stanford on music, emotion, and expressive writing to inform the user experience