Nina Kraviz — @ Dommune (2015)
Experimental Techno · 1h 57m · analysed 18 Aug 2026
About this experimental techno set
@ Dommune (2015) is a experimental techno DJ set by Nina Kraviz, running 1h 57m. It was measured by the SOONOS multi-agent engine and scores 60/100 overall — developing.
The engine files this performance as “Promising”.
This DJ understands that in techno, the silence between the drums is as important as the drums themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is TECHNIQUE at 81/100.
The final score is capped by measured bm: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.
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 54 points, moving between 70 and 94 on the SOONOS energy scale — a moderate dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 331.1 grid breaks per hour, with a median beat offset of 30 ms.
Full SOONOS analysis
This DJ understands that in techno, the silence between the drums is as important as the drums themselves.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%81
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%89
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%84
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%82
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (bm) — weighted average was 85.
Energy arc
Transitions analysed (5)
Long EQ blend with low-end handover
Perfectly executed blend where the incoming bassline takes over without any phase issues.
Percussive layering and high-pass filter sweep
Smooth transition using high-end elements to bridge the tracks before the low-end swap.
Long EQ blend with low-end swap
Perfectly executed handover. The incoming kick is phased correctly and takes over the sub-frequencies without any volume dip.
Additive layering
The DJ layers a new rhythmic element for 32 bars before slowly fading out the previous track's mids. Very professional.
Long EQ blend with low-end swap
A textbook hypnotic techno transition. The incoming percussive loop is introduced so subtly that the listener barely notices the change until the low-end swap at the phrase boundary.
Technical subscores
88
EQ balance
93
Beat alignment
89
Energy control
92
Tempo stability
88
Loudness control
89
Musical coherence
86
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
30 ms
Beat-grid drift (median)
136.6 ms
Drift p95
7,015
Boundaries detected
26
Hard cuts / h
46
Clipping events
692
Level jumps
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 (12:00, 20:00, 27:00, 47:00, 53:00, 59:00). Long loops kill dancefloor momentum.
Beat alignment needs work — typical drift of 30 ms
Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.
What SOONOS heard
- Technical precision in transitions.
- Exceptional groove maintenance.
- Confident and consistent track selection.
Timeline
- 05:20Groove Lock Peak
- 11:10Tension Plateau
- 16:30Groove Lock Peak
- 21:15Sub-Bass Transition
- 24:20Hypnotic Lock-In
- 29:30Texture Evolution
Coaching notes
- Experiment with very short (1-beat) silences to reset the listener's ear.
- Use a high-pass filter more aggressively on the outgoing track to create a 'lifting' sensation before the new kick hits.
- Consider a slightly more varied percussive palette in the next segment to maintain long-term interest.
- Experiment with wider stereo imaging for atmospheric layers to enhance the sense of space.
- Use subtle delay throws on percussive elements to create rhythmic 'ghost' notes.
- Consider a brief, beatless atmospheric bridge to reset the listener's ear before a major energy shift.
- Continue to trust your restraint; the long blends are your signature strength.
- Experiment with very subtle melodic elements to add a layer of emotional depth to the industrial textures.
- Consider a brief 'reset' moment every 20-30 minutes to keep the listener's ears fresh for the next hypnotic cycle.
- Maintain the exceptional focus on rhythmic layering; it is your strongest asset.
- During vinyl transitions, be slightly more aggressive with the mid-frequency cuts to avoid brief sonic clutter.
- Experiment with one 'wildcard' track that breaks the industrial palette to add a narrative surprise.
- Introduce a final melodic or atmospheric element to provide a stronger sense of closure.
- Experiment with brief moments of silence or breakdowns to reset the tension.
- Maintain the exceptional technical precision shown in the EQ blends.
Curious how your own set scores?
Questions about this analysis
- What score does Nina Kraviz's @ Dommune (2015) get?
- @ Dommune (2015) scores 60/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
- How long is @ Dommune (2015)?
- The analysed recording runs 1h 57m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, while TECHNIQUE is the lowest at 81/100.
- 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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