In the age of ubiquitous cloud computing, the rise of streaming services feels like old news. Of course we love streaming! For consumers, prices are lowers, libraries bigger, and services suddenly bespoke. What could be better?
How has Spotify managed this? By giving users just enough value for their data in return. Features like custom playlists, API tools, and social/UI features shift public perception of Spotify from a looming corporate data farmer to an enlightened data despot.
Yet upon further inspection, I believe Spotify could be doing more for both its common consumers/users and less-common developers and amateur artists folk like me.
Using data from the musixmatch API, I have created a tool that shows what words musical artists use most in their lyrics. It uses a combination of jQuery and D3 libraries to work as a single-page “app”. Try it here.
The web “app” works by finding the artist you search for, and running through every lyric it can find by the artist to develop a lexicon. Once that lexicon is built, you can click on the box that is created to view statistics about their most-used words.
You can also view the most-used overall by clicking the “All Artists” button.
I have Phillips Hue at home, so using the nice instructions from ITP Light & Interactivity I was able to connect to my home’s hue setup as a developer. Here is a snapshot of my home’s current setup (collected through a GET request after connected):
As the technical feasibility of the API to LED project comes together, it is time to consider the physical specifications, including design, construction, and materials. Here is the current conceptual design: