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THE VIDEO SHELF · dark electronic jazz

The Kilimanjaro Darkjazz Ensemble - Here Be Dragons (Full Album)

A full-length album by The Kilimanjaro Darkjazz Ensemble, a dark, cinematic electronic jazz group. It runs about 55 minutes across nine tracks.

Why HN readers recommended it

HN commenters suggest it as atmospheric, near-ambient music for programming and focus.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Ivica Stojkov
Topic
dark electronic jazz
Format
music
Level
general
HN recommenders in dataset
3
HN mentions in dataset
3
Recommendation years in dataset
2016–2022

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • I'm glad you like it :). I think ambience and soundscapes should still have interesting musical elements. If it only works as background noise, then I get bored by it. I've also listened to Isis quite a lot, mostly "Oceanic", which is great. There is …

    ulrikrasmussen on Hacker News · 2016-02
    In AI generated music to improve focus, relaxation and sleep
  • Made a selection with an eclectic variety of modern electronic sounds, enjoy! - [LINK] (a gem of prog trance) - [VIDEO] (dark electronic jazz) - [LINK] (black metal + breakbeat + classical) - [LINK] (amazing psy chill album) - [LINK] To illustrate how Electronic Music …

    badosu on Hacker News · 2017-06
    In The slow death of the electric guitar
  • Another second here. There's a YouTube channel with full stoner metal albums (Stoned Meadow of Doom: [LINK] ; been around for quite a while, though I have a vague fear of them disappearing due to the obvious copyright infringement...). As for specific bands (though I …

    maicro on Hacker News · 2022-04
    In Ask HN: Heavy Metal Music for Programming?

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.