Spartaque — Revive Podcast [episode 006]
Peak Techno · 1h 02m · 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, Spartaque.
In short
Revive Podcast [episode 006] by Spartaque scores 73/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (83/100) and the weakest is SURPRISE (69/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (4×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (28:30, 31:00, 34:22, 51:00). Long loops kill dancefloor momentum.
What to try next
- Smooth out gain differences between tracks to avoid jarring volume jumps.
- Introduce more melodic or vocal elements to enhance the emotional narrative.
- Experiment with more creative transition techniques, such as looping or effects, to build a unique signature.
- Focus on low-end EQ management to avoid kick-drum phasing during long blends.
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.
Smooth introduction of the new percussion layer, perfectly phrase-aligned.
Clean transition into a breakdown, effectively resetting the energy.
Slightly abrupt energy jump, but the groove remains intact.
Noticeable low-end muddiness as both kicks fight for dominance for ~8 bars.
Clean handover of the high-end frequencies, maintaining the groove momentum well.
Seamless integration of the new kick drum; phase is perfectly aligned.
Smooth transition of percussive elements; energy is maintained throughout.
About this peak techno set
Revive Podcast [episode 006] is a peak techno DJ set by Spartaque, running 1h 02m. It was measured by the SOONOS multi-agent engine and scores 73/100 overall — solid.
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 83/100; the weakest is SURPRISE at 69/100.
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 24 points, moving between 40 and 88 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 508.0 grid breaks per hour, with a median beat offset of 12 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%83
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%76
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%73
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%69
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%79
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with high-pass filtering
Smooth introduction of the new percussion layer, perfectly phrase-aligned.
Drop swap on the phrase
Clean transition into a breakdown, effectively resetting the energy.
Quick EQ swap
Slightly abrupt energy jump, but the groove remains intact.
Long percussive blend
Noticeable low-end muddiness as both kicks fight for dominance for ~8 bars.
EQ swap on phrase
Clean handover of the high-end frequencies, maintaining the groove momentum well.
Long EQ blend with low-end swap
Seamless integration of the new kick drum; phase is perfectly aligned.
Mid-range frequency handover
Smooth transition of percussive elements; energy is maintained throughout.
Technical subscores
80
EQ balance
89
Beat alignment
79
Energy control
89
Tempo stability
80
Loudness control
80
Musical coherence
78
Harmonic compatibility
82
Transition cleanliness
Measured (DSP)
12 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
202 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,679
Boundaries detected
Points where the audio changes track or section.
93
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
1464
Clipping events
Moments where the recording hits the ceiling and distorts.
135
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (4×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (28:30, 31:00, 34:22, 51:00). Long loops kill dancefloor momentum.
Timeline
- 01:15Groove Lock
- 05:50Effective Breakdown
- 08:45Abrupt Energy Jump
- 13:12Low-end Clash
- 17:25Rhythmic Reset
- 24:20Tension Peak
- 28:15Groove Lock
Coaching notes
- Smooth out gain differences between tracks to avoid jarring volume jumps.
- Introduce more melodic or vocal elements to enhance the emotional narrative.
- Experiment with more creative transition techniques, such as looping or effects, to build a unique signature.
- Focus on low-end EQ management to avoid kick-drum phasing during long blends.
- Introduce more dynamic 'valleys' in the energy arc to make the 'peaks' feel more impactful.
- Experiment with tracks that have more distinct melodic or atmospheric signatures to build a stronger narrative.
- Use shorter, more decisive transitions occasionally to inject surprise into the set.
- Incorporate more melodic elements to add emotional depth.
- Use breakdowns more strategically to create tension and release.
- Experiment with more varied transition techniques to surprise the listener.
- Ensure consistent gain staging during dense layering phases.
- Introduce more dynamic contrast through breakdowns to avoid energy plateaus.
- Experiment with more diverse melodic elements to build a stronger artistic identity.
- Use subtle FX like delay or reverb on vocal loops to add depth to the mix.
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 Spartaque's Revive Podcast [episode 006] get?
- Revive Podcast [episode 006] scores 73/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Revive Podcast [episode 006]?
- The analysed recording runs 1h 02m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 83/100, while SURPRISE is the lowest at 69/100.
- 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 Spartaque sets analysed
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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.
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