Echoes is an AI-powered music discovery app that turns natural language into emotionally precise song recommendations, helping users find music by meaning, memory, and feeling rather than just artist or genre.
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Maker
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Echoes came from a simple frustration: most music discovery tools are still built around artists, genres, or playlists, but that’s not how many of us actually look for music.
Sometimes you’re not searching for “indie rock” or “similar to X.” You’re searching for something much more human, like songs about past friendships, emotional closure, distance, longing, or quiet relief after a hard time.
I wanted to build something that lets people start from language, emotion, memory, or inner state — and then find music that actually feels aligned with that meaning.
While working on Echoes, the biggest shift was realizing this couldn’t just be a music search tool with AI layered on top. The real challenge was making the experience feel thoughtful and emotionally precise, not generic or gimmicky. That changed both the product direction and the way I approached recommendation quality, feedback, and iteration.
This is still the beginning, and I’d really love to hear how you use it, where it feels right, and where it misses the mark. That kind of feedback is exactly what will make Echoes better.
