Our goal is to build better tools to explore the vast and beautifully interconnected world of music.

Tools that help people:

• Learn: how are artists related to each other?
• Discover ➞ find artists that will hit the spot, and set you off on your personal music discovery path.

Finding good music is difficult. Tons of music released every day (and so many hidden gems from the past!).

But. Different recommendation systems can lead to very different results.

• Systems based on prediction and user-platform interactions are inertial by nature.
• They might be great for chasing a mood, but not so great at leading to genuine, sustained, life-changing musical discoveries.

• Our recommendation system is driven purely by musical factors.
• Artists (the creative force behind music) are our units of connection.
• Musical influence is our main metric.
• We don't use external correlates (e.g. advertising, artist popularity, or users' data) in our models.