X Vibe Playlist Spotify for Christmas




Hey, it’s 0x_XRVØ !

Well, I was thinking to myself, what cool and fun AI tool could I make for this Christmas? And I came up with an interesting idea that I worked on to some extent, but then I couldn’t continue because of the heavy API usage, so I gave up :)

The cool thing I noticed was that people, especially teenagers (including myself), spend a lot of time on music and listening to songs. And naturally, everyone has different tastes when it comes to music, but most of the time, they prefer songs that match their vibe and personality. So I thought, why not create something that can figure out your vibe and personality based on some data, and then generate a Spotify playlist for you?


Of course, I really wanted to make this specifically for Christmas and launch it at that time :)

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This is the algorithmic architecture I had in mind for building this project :

  • 1 -Use the X Twitter API to fetch tweets from different users.

  • 2 -Feed the fetched tweets to an LLM like Gemini with a precise prompt, and that LLM should analyze the user's tweet data to identify and describe their vibe and personality.

  • 3 -Based on the vibe that the LLM detected, suggest 10 songs and use the Spotify API to automatically create a playlist from them.

  • 4 -Finally, the user should be able to share their playlist so that more and more people try it out and it becomes a trend.


This is a sample code for detecting a user's vibe based on their tweets using the Gemini LLM:

arima kana pic for no apparent reason


This is roughly the project’s file architecture:

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and this some Broken Out-Put result :

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arima kana pic for no apparent reason


arima kana pic for no apparent reason



In the end, the cost of using the X (Twitter) APIs was very high, and unfortunately, I couldn’t continue this project. But I would really love it if you have any feedback, suggestions, or criticisms about this idea and project, or even if you want to sponsor me to build the project and cover the API costs :

You can send me email for feedback Here : dev.bugsbunny2000@gmail.com

Or if you like this idea and want to support it, you can support me with crypto here : 0x2D3dD9fCcE17823EE4853130c47d3F9B843A939F