Spun
Keller Williams · 1998
51 min · 13 tracks
A vibrant blend of acoustic grooves and looped instrumentation, creating a playful, improvisational soundscape.
Top tracks — play these first
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Running on Fumes — This opening track sets an energetic tone with its catchy melody and engaging rhythms, perfectly encapsulating Williams’ signature style.
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Thirsty in the Rain — The song's intricate layering highlights Williams' skill in live looping while blending heartfelt lyrics with a danceable groove.
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Dear Emily — With its introspective lyrics and gentle melody, this track illustrates Williams' lyrical depth amidst his more upbeat compositions.
Is this for you?
Good fit if you like
- dynamic journey with playful twists
- for lively gatherings
- headphone detail hunting on guitar
- wave-like pacing for easy flow
Maybe skip if you
- prefer straightforward, predictable tracks
- seek instant gratification in music
Where this album fits
- Career context
- By 1998, Keller Williams was evolving from his early days as a solo performer into a recognized artist within the jam band scene. This album followed his self-titled debut and marked a significant step in establishing his unique style that blends folk, rock, and electronic elements.
- Stylistic neighbors
- Michael Franti· Umphrey's McGee· Yonder Mountain String Band
Moments worth listening for
Where the writing does something specific.
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Thirsty in the Rain
The chorus shifts from a longing sentiment to an uplifting resolution, marking a transition from vulnerability to hope.
This progression not only deepens the emotional impact but also contrasts with the rhythmic vitality of the music.
Tracklist
Best experienced from track one — press play and let it unfold.
- 1 Running on Fumes 5:25
- 2 Tribe 4:49
- 3 Blazeabago 5:34
- 4 Thirsty in the Rain 3:44
- 5 221" 3:53
- 6 Stargate 5:19
- 7 Spun 2:23
- 8 In a Big Country 3:49
- 9 Portapotty 4:02
- 10 Theme from the Pink Panther 3:01
- 11 Sleeping Giant 3:56
- 12 Dear Emily 2:41
- 13 Fat B 2:44
Reference: Wikipedia · MusicBrainz · Wikidata
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