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How Namey Makes Personalized Baby Name Recommendations

October 9, 2024
2D scatter plot of name clusters

At Namey, our goal is to help you find the perfect baby name. We want to show you suggestions that truly match your preferences. How do we do this? It's not just random guesses—we use data to make informed recommendations.

For example, if you tell us you like names like Annie and Sophie, we look for other names that share similar qualities. Maybe you'll love the name Emma or Lily, too. How do we know? We've analyzed over 100,000 names in our database and grouped them into clusters of similar names.

These clusters are based on characteristics like sound, popularity, and cultural background. When you like a few names from a cluster, we can confidently recommend other names in that same group. This way, you're always discovering names you're more likely to love.

Namey's 100,000+ names. Pan and zoom to see more

In the chart above, only the most popular names in the window are shown at any time. As you zoom into specific clusters, the more unique names in that cluster start to appear. Similarly, Namey lets you set a preference for how unique or familiar you'd like your recommendations to be.

Whether you're after a timeless favorite or a rare find, the Namey App helps you narrow down your options in a way that fits your style.