Spartaque — Revive Podcast [episode 002]
Peak Techno · 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, Spartaque.
In short
Revive Podcast [episode 002] by Spartaque scores 72/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (81/100) and the weakest is SURPRISE (66/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (1×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (38:30). Long loops kill dancefloor momentum.
What to try next
- Experiment with more aggressive filter work during transitions to add character.
- Incorporate tracks with more distinct melodic hooks to create memorable moments.
- Try extending the layering periods even further to create unique 'third tracks' from the blends.
- Use more dramatic filter sweeps during transitions.
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 transition of high-hat patterns, maintaining the driving energy.
Perfectly executed bass handover that enhances the groove's momentum.
Perfectly executed transition where the new track emerges naturally from the old one.
Smooth introduction of new melodic elements while maintaining the percussive drive.
Effective use of high-pass filtering to clear space for the incoming track's low end.
Perfectly matched percussive loops, almost indistinguishable handover.
Clean bass transition, though slightly predictable.
About this peak techno set
Revive Podcast [episode 002] is a peak techno DJ set by Spartaque, running 1h 03m. It was measured by the SOONOS multi-agent engine and scores 72/100 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 81/100; the weakest is SURPRISE at 66/100.
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 28 points, moving between 65 and 90 on the SOONOS energy scale — a moderate dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 528.7 grid breaks per hour, with a median beat offset of 13 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%81
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%71
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%66
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%78
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
EQ-based layering
Smooth transition of high-hat patterns, maintaining the driving energy.
Long blend with low-end swap
Perfectly executed bass handover that enhances the groove's momentum.
Long EQ blend with low-end swap
Perfectly executed transition where the new track emerges naturally from the old one.
Mid-frequency layering
Smooth introduction of new melodic elements while maintaining the percussive drive.
Filter sweep and phrase swap
Effective use of high-pass filtering to clear space for the incoming track's low end.
Long EQ blend
Perfectly matched percussive loops, almost indistinguishable handover.
Low-end swap on phrase
Clean bass transition, though slightly predictable.
Technical subscores
82
EQ balance
89
Beat alignment
80
Energy control
91
Tempo stability
83
Loudness control
82
Musical coherence
78
Harmonic compatibility
85
Transition cleanliness
Measured (DSP)
13 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
199 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,753
Boundaries detected
Points where the audio changes track or section.
142
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
2460
Clipping events
Moments where the recording hits the ceiling and distorts.
187
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (1×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (38:30). Long loops kill dancefloor momentum.
Timeline
- 3:45Rhythmic Peak
- 8:20Energy Plateau
- 11:15Masterful Blend
- 16:20Groove Lock
- 27:30Industrial Lead Entry
- 23:45Percussive Plateau
Coaching notes
- Experiment with more aggressive filter work during transitions to add character.
- Incorporate tracks with more distinct melodic hooks to create memorable moments.
- Try extending the layering periods even further to create unique 'third tracks' from the blends.
- Use more dramatic filter sweeps during transitions.
- Introduce melodic elements to provide emotional contrast.
- Vary the length of transitions to keep the listener engaged.
- Use more aggressive filter sweeps during transitions to add excitement.
- Incorporate a 'hero' track with a memorable hook to anchor the peak.
- Experiment with brief rhythmic silences to reset the listener's ear.
- Ensure the final fade-out is more gradual to maintain the hypnotic tail.
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 002] get?
- Revive Podcast [episode 002] scores 72/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Revive Podcast [episode 002]?
- The analysed recording runs 1h 03m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 81/100, while SURPRISE is the lowest at 66/100.
- 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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