scilent music
An original music app designed to elevate the listening experience

concept
The idea for this project came from my unique combination of passions for music technology, visual and interactive design, and my personal vision for an evolution of the modern digital music consumption landscape. The concept began as application based on three main functional pillars that, when working in concert, can provide a revolution digital music experience for listeners and fans of all types.
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music data + visualization
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social/sharing features
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new/upcoming releases
inspo
/research
Initial research on existing apps, products, services, and user personas in those spaces (as well as drawing on my personal experiences), the following priorities were established:
music data + visualization
platform-agnostic
real-time data + insights
social/sharing features
authenticity/verification
nuanced music conversation
new/upcoming releases
comprehensive curation
release day excitement
design
The visual design of this process included research on relevant existing UI's, creation of rough wireframes, and mockups.

Support for multiple streaming sources

dynamic profile with comprehensive feed of music activity

music review functionality supercharged with dynamic, real-time data insights
architecture
/tech stack
The initial prototype was built for mobile using React Native and the Expo framework, with some basic API integrations with the Spotify Web API, which gave me the opportunity to familiarize myself with native mobile development. After creating a working prototype, work was pivoted to a web version in order to build out more robust features and build on particular data intensive features. This became the foundation for the private and public beta versions to be released soon.



development
/current state
The beta version of the app was built for web with an emphasis on mobile responsiveness and accessibility, using NextJS, React, TailwindCSS, Vercel, and Prisma, with more advanced data integrations with the Spotify Web API, Musicbrainz API, and Muso.AI.



