Jamie Jones — Burning Man - Maxa Xaman - 2019
Tech House · 2h 21m · Burning MAN · analysed 19 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, Jamie Jones.
In short
Burning Man - Maxa Xaman - 2019 by Jamie Jones scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (90/100) and the weakest is SURPRISE (79/100).
This DJ understands that in the desert, the space between the notes is as important as the notes themselves.
Key takeaways
What worked
- Exceptional track selection
- Flawless technical execution
- Deep emotional narrative
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (16:00, 22:00, 31:00, 59:00, 65:00, 71:00). Long loops kill dancefloor momentum.
What to try next
- Use subtle high-pass filter sweeps to create tension during long blends.
- Experiment with brief melodic stabs to break up long percussive plateaus.
- Maintain the excellent gain staging observed in this segment.
- Continue to prioritize long, transparent blends to maintain the hypnotic state.
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.
Masterful patience. The transition is almost imperceptible, maintaining the hypnotic desert groove.
Smooth introduction of a new melodic motif while slowly filtering out the previous track's lead.
A masterfully executed long blend where the incoming percussion replaces the outgoing groove almost imperceptibly.
Clean low-end swap that maintains the momentum while introducing a more melodic bassline.
A very patient transition that respects the phrasing of both tracks. The bass swap is almost imperceptible.
About this tech house set
Burning Man - Maxa Xaman - 2019 is a tech house DJ set by Jamie Jones, running 2h 21m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.
The engine files this performance as “Promising”.
This DJ understands that in the desert, the space between the notes is as important as the notes themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 90/100; the weakest is SURPRISE at 79/100.
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 52 points, moving between 20 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 101.9 grid breaks per hour, with a median beat offset of 26 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
This DJ understands that in the desert, the space between the notes is as important as the notes themselves.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%83
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%83
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%79
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%90
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (5)
Long EQ blend with low-end swap
Masterful patience. The transition is almost imperceptible, maintaining the hypnotic desert groove.
Mid-range layering and filter fade
Smooth introduction of a new melodic motif while slowly filtering out the previous track's lead.
64-bar organic blend with high-pass filtering
A masterfully executed long blend where the incoming percussion replaces the outgoing groove almost imperceptibly.
EQ-swap on the 1st beat of the phrase
Clean low-end swap that maintains the momentum while introducing a more melodic bassline.
Long EQ blend with low-end swap
A very patient transition that respects the phrasing of both tracks. The bass swap is almost imperceptible.
Technical subscores
86
EQ balance
92
Beat alignment
83
Energy control
94
Tempo stability
84
Loudness control
90
Musical coherence
90
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
26 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
34 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,446
Boundaries detected
Points where the audio changes track or section.
80
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
230
Clipping events
Moments where the recording hits the ceiling and distorts.
463
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (16:00, 22:00, 31:00, 59:00, 65:00, 71:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Exceptional track selection
- Flawless technical execution
- Deep emotional narrative
Timeline
- 0:45Atmospheric Hook
- 8:30Groove Lock
- 18:20Vocal Atmosphere Entry
- 22:45Melodic Peak
- 26:15Vocal Peak
Coaching notes
- Use subtle high-pass filter sweeps to create tension during long blends.
- Experiment with brief melodic stabs to break up long percussive plateaus.
- Maintain the excellent gain staging observed in this segment.
- Continue to prioritize long, transparent blends to maintain the hypnotic state.
- Experiment with brief, high-pass filter cuts to create micro-tensions before a phrase change.
- Consider layering a subtle vocal sample to add a human element to the electronic textures.
- Continue to prioritize long-form narrative over quick transitions.
- Experiment with subtle live looping of vocal fragments to extend emotional peaks.
- Use high-pass filters more aggressively during breakdowns to create more impact when the kick returns.
- Experiment with brief, high-pass filtered breakdowns to create more dynamic tension.
- Introduce a few more 'dry' percussive elements to contrast with the lush atmospheric pads.
- Maintain this level of selection quality; the tracks are perfectly suited for the intended context.
- Use subtle delay or reverb throws on percussion during long blends to add depth.
- Experiment with slightly more aggressive high-pass filtering during transitions to create 'air'.
- Consider a more distinct melodic 'hook' for the final track to leave a lasting impression.
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 Jamie Jones's Burning Man - Maxa Xaman - 2019 get?
- Burning Man - Maxa Xaman - 2019 scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Burning Man - Maxa Xaman - 2019?
- The analysed recording runs 2h 21m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 90/100, while SURPRISE is the lowest at 79/100.
- 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.
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Test how a set like this one would land in a club, a beach club or a festival.
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