Personal Charts is an algorithmic music tracking system inspired by the Billboard Hot 100.

As an avid music listener and data enthusiast, I built Personal Charts to answer a simple question: "What would my personal Hot 100 look like?"

The project is a love letter to music discovery and data-driven insights, offering users a unique way to track their listening habits and uncover previous chapters of their musical journey. Maybe you want to see what you were listening to in your first year of college, or that time you were obsessed with a particular artist. Whether you're a casual listener or a chart-topping superfan, Personal Charts provides a dynamic and personalized music experience that evolves with you over time.