Vintage Culture — Vintage Culture - Promised Land Remixes (Full Mix)
House · 1h 03m · analysed 25 Aug 2026 · source: soundcloud.com
Public mix analysis — no affiliation or endorsement. This report measures a publicly available recording hosted on soundcloud.com. The scores are produced by SOONOS and do not imply any partnership with, or approval by, Vintage Culture.
In short
Vintage Culture - Promised Land Remixes (Full Mix) by Vintage Culture scores 79/100 in the SOONOS analysis (club ready). The strongest dimension is TECHNIQUE (89/100) and the weakest is SURPRISE (76/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (7:45, 19:55).
- Long static loops (3×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 34:15, 42:00). Long loops kill dancefloor momentum.
What to try next
- Use more dramatic filter sweeps to create tension before drops.
- Experiment with shorter, more aggressive cuts to contrast the long blends.
- Introduce more varied percussive layers to keep the groove evolving.
Timestamped insights
Each moment below is tagged with how it was produced: “measured” comes from the DSP pass on the audio, “listening” comes from the multi-agent listening pass.
A textbook transition where the incoming bassline takes over seamlessly on the phrase.
Smooth transition that uses filtering to clear space for the new track's percussion.
Extremely smooth introduction of the incoming percussion; the transition is almost invisible.
Clean handover of the low end. The energy remains constant throughout the swap.
Slightly abrupt energy shift; the incoming track has a significantly different mid-range density.
Strategic disruption
About this house set
Vintage Culture - Promised Land Remixes (Full Mix) is a house DJ set by Vintage Culture, running 1h 03m. It was measured by the SOONOS multi-agent engine and scores 79/100 overall — club ready.
The engine files this performance as “Promising”.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 89/100; the weakest is SURPRISE at 76/100.
Analysis coverage for this file is 100% — the share of the set the engine could measure with full confidence.
Energy and structure
The energy curve was sampled at 13 points, moving between 75 and 92 on the SOONOS energy scale — a narrow dynamic range across the set.
8 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 429.5 grid breaks per hour, with a median beat offset of 6 ms.
How this score is built
Measured layer (DSP): the audio file is analysed directly — beat grid, tempo stability, loudness and energy. These values are measurements, not opinions.
Listening layer: a multi-agent pass reads musical intent — programming, storytelling, coherence and crowd effect. This layer interprets, it does not measure.
Fusion and ceilings: the two layers are merged, and the measured layer always wins on execution. When the DSP hears an execution problem, it caps the final score even if the listening layer is positive.
Measured coverage for this file is 100% of the set.
Full SOONOS analysis
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%89
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%85
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%81
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%76
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%87
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (8)
Long EQ blend with low-end swap
A textbook transition where the incoming bassline takes over seamlessly on the phrase.
Phased layering with high-pass filtering
Smooth transition that uses filtering to clear space for the new track's percussion.
Long EQ blend with high-pass filtering
Extremely smooth introduction of the incoming percussion; the transition is almost invisible.
Bass swap on the phrase
Clean handover of the low end. The energy remains constant throughout the swap.
Quick crossfade during a breakdown
Slightly abrupt energy shift; the incoming track has a significantly different mid-range density.
Perfect Blend
Harmonic Masterclass
Minor Level Jump
strategic_disruption
Technical subscores
88
EQ balance
94
Beat alignment
85
Energy control
95
Tempo stability
88
Loudness control
88
Musical coherence
92
Harmonic compatibility
91
Transition cleanliness
Measured (DSP)
6 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
184 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,739
Boundaries detected
Points where the audio changes track or section.
82
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
14
Clipping events
Moments where the recording hits the ceiling and distorts.
185
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Recurring mid-frequency clash
Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (7:45, 19:55).
Long static loops (3×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 34:15, 42:00). Long loops kill dancefloor momentum.
Timeline
- 5:20Groove Lock
- 9:15Energy Plateau
- 13:45Vocal Layering Peak
- 20:10Energy Sag
- 19:55Risky pressure or vibe dip
Coaching notes
- Use more dramatic filter sweeps to create tension before drops.
- Experiment with shorter, more aggressive cuts to contrast the long blends.
- Introduce more varied percussive layers to keep the groove evolving.
Curious how your own set scores?
Methodology and limitations
This report is produced automatically from the published recording. It measures what is present in the audio file: a bad source encoding, a partial upload or a heavily processed broadcast version can change the measured values. Nothing here reflects the room, the crowd or the night itself.
Read the full SOONOS methodology →Questions about this analysis
- What score does Vintage Culture's Vintage Culture - Promised Land Remixes (Full Mix) get?
- Vintage Culture - Promised Land Remixes (Full Mix) scores 79/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Vintage Culture - Promised Land Remixes (Full Mix)?
- The analysed recording runs 1h 03m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 89/100, while SURPRISE is the lowest at 76/100.
- How is this score calculated?
- SOONOS measures the audio with a DSP pass (beat grid, loudness, tempo, energy) and runs a multi-agent listening pass on top. Measured axes always override the listening layer, so an execution issue heard in the file caps the final score.
More Vintage Culture sets analysed
- Vintage Culture @ Cigarretes After Sex Chapter 282
- Vintage Culture @ Robot Heart Residency Burning Man 2024, California, USA82
- Vintage Culture @ Cigarettes After Sex Chapter 381
- Vintage Culture @ After Party is Calling #0180
- Vintage Culture @ Cigarettes After Sex Chapter 178
- Vintage Culture Live at Amazon Club, Chapeco SC (5hour Set P 1)77
Similar house sets
- Detlef — Detlef @ Hi Ibiza / ANTS / 13/05/202379
- Joeski — Joeski - Stay The F*ck Safe Sessions79
- Mochakk — Mochakk Birthday Set 2021 - Pool Party Music79
- Lee Foss — Lee Foss Ibiza Voice Podcast - 19th August 201079
- MK — MK - Summer Mix 201479
- MK — MK Underground Live Stream Set - Factory9379
- Masters at Work — MAW / Masters At Work Records Mixed by Keith Harmer 2 Hour Mix78
- Joeski — Joeski Live @ Stereobar 11/09/19 Part 180
Test how a set like this one would land in a club, a beach club or a festival.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
Guides: How SOONOS works · DJ guides and research