An AI Hip-Hop Music Platform for Expression and Voice
Turn ideas into hip-hop.
Make voice easier than production.
Lyra is an early-stage AI music platform centered on hip-hop as a primary medium for self-expression. Inspired by the lyre—one of the earliest and most accessible musical instruments—Lyra helps anyone turn ideas, emotions, images, or words into music, even without formal musical training.
Join the waitlist for Lyra
We’re building a guided, conversational path from intent → hip-hop output. If you want to shape the first version, leave your email.
What is Lyra?
At its core, Lyra treats music not as a technical skill, but as a language for participation and voice.
Inspired by the lyre—simple, expressive, and historically accessible—Lyra aims to make musical expression feel “pick-up-and-play” for anyone.
The goal is not to replace creativity, but to expand who can participate.
Why Hip-Hop?
Hip-hop is not just a music genre—it is one of the most globally recognized and widely shared languages of expression today. Across cultures and communities, hip-hop already functions as a common space where ideas, emotions, and identities are exchanged.
The challenge is not that people lack something to say, but that entering this expressive ecosystem still requires technical skills, tools, and insider knowledge.
Lyra lowers the barrier to engagement with a living global medium of expression.
The Problem
Many people have ideas, perspectives, and emotions they want to express. Yet meaningful participation in dominant cultural forms like hip-hop often requires production expertise, access to tools, and familiarity with complex workflows.
As a result, a powerful expressive ecosystem exists—but remains inaccessible to many who would otherwise contribute to it.
Our Approach
Users first interact with an AI-guided conversational interface that helps clarify what they want to express.
Only after intent is sufficiently articulated does Lyra structure the input and pass it into a multi-agent generation pipeline to produce hip-hop beats or full tracks aligned with the user’s voice.
Technical complexity is intentionally abstracted to keep the experience intuitive, accessible, and expressive.
Who Lyra is for (Initial focus)
Current Stage
- • Early-stage venture focused on hip-hop as a medium for expression
- • Core team formed (Computer Music + Computer Science)
- • Conversational input + intent-structuring workflow defined
- • Demo development and user validation in progress
- • Build a functional demo: conversational input → hip-hop output
- • Conduct user interviews: expression, autonomy, usability
- • Refine workflows: clarity, simplicity, creative control
About the Founder
Chenye Wang is a Computer Music student at the Peabody Institute of Johns Hopkins University, with a background in music creation, computational tools, and creative project leadership. His work focuses on building systems that expand access to meaningful cultural and creative expression.
Contact
If you’re interested in supporting Lyra—through mentorship, resources, partnerships, or funding—reach out.
Lyra makes participation accessible.”
A guided conversational interface turns intent into hip-hop beats or full tracks—so more people can speak through a dominant cultural form.