Inspiration
Do you ever want to share your favourite tracks with your friends? What do you do? The options are not great: send a link to Spotify through another app, post it on an Instagram story for people to see, or tell others to listen to Sandstorm by Darude.
Music is meant to be shared. Spotify, Apple Music and all streaming platforms were supposed to solve this, but they made music more individualistic than ever. There is no platform to make music easily shareable and well-integrated with the existing music providers. We think you should see your friends' recommendations in a place designed for them, and where you can listen to them whenever you want to.
On top of this, music curators are surfacing everywhere online. They once were confined to offices at Universal and Sony Music Group, but now they're willing to share their finest discoveries on YouTube, TikTok and Instagram.
All these opportunities are the perfect breeding ground for a new music-sharing app. Queued is a new paradigm in music-sharing, working with a new fresh format that is simple yet flexible.
What it does
The central part of Queued is the user queue. It is a list of songs, and all your friends can append tunes to it. You can go back to your queue at any point during your day, and your new recommendations will be waiting for you.
This queue is linked to Spotify (and more platforms in the future!), so you can listen to it on your favourite platform.
There is also a feed, where all users can upload their new finds. By exploring it, you can find recommendations from people who share your same musical taste.
How we built it
We implemented the frontend using HTML, CSS and JS. We hosted it on GH pages.
The backend is written in Python and FastAPI. We hosted on railways and it relates to the spotify API to deal with playing songs in real time.
Challenges we ran into & what we learned
We learnt a lot about frontend and backend development, since our background were really different.
What's next for Queued
- New platform integrations
- Implementation of the follower model
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