Nina Kraviz — @ amnesia 17 august 2025
Experimental Techno · 2h 19m · Amnesia Ibiza · analysed 18 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, Nina Kraviz.
In short
@ amnesia 17 august 2025 by Nina Kraviz scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (87/100) and the weakest is SURPRISE (77/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 10:00, 25:00, 31:00, 60:00, 69:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with more dramatic frequency sweeps to accentuate buildup peaks.
- Incorporate occasional vocal snippets to create 'hook' moments for the crowd.
- Vary the duration of pressure-building segments to keep the audience guessing.
- Explore more varied emotional textures, perhaps adding moments of euphoria.
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 very professional handover. The incoming track's bassline is introduced subtly before the full swap.
Smooth transition using high-pass filtering to clear space for the incoming track.
Seamless transition with perfect frequency management.
Expertly layered transition that maintains the hypnotic flow.
Clean handover of the low-end, sustaining the energy.
Smooth transition maintaining the percussive drive, perfectly phrase-aligned.
Effective use of high-pass filtering to bring in the next track's energy.
About this experimental techno set
@ amnesia 17 august 2025 is a experimental techno DJ set by Nina Kraviz, running 2h 19m. It was measured by the SOONOS multi-agent engine and scores 78/100 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 IDENTITY at 87/100; the weakest is SURPRISE at 77/100.
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 64 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 143.7 grid breaks per hour, with a median beat offset of 22 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%82
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%77
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 (7)
Long EQ blend with low-end swap
A very professional handover. The incoming track's bassline is introduced subtly before the full swap.
Filter-assisted transition
Smooth transition using high-pass filtering to clear space for the incoming track.
Long EQ blend
Seamless transition with perfect frequency management.
Layered blend
Expertly layered transition that maintains the hypnotic flow.
EQ swap on phrase
Clean handover of the low-end, sustaining the energy.
Long EQ blend with low-end swap
Smooth transition maintaining the percussive drive, perfectly phrase-aligned.
Filter sweep and percussive layering
Effective use of high-pass filtering to bring in the next track's energy.
Technical subscores
86
EQ balance
92
Beat alignment
86
Energy control
93
Tempo stability
86
Loudness control
87
Musical coherence
85
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
22 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
38 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,295
Boundaries detected
Points where the audio changes track or section.
103
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
204
Clipping events
Moments where the recording hits the ceiling and distorts.
475
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 (0:00, 10:00, 25:00, 31:00, 60:00, 69:00). Long loops kill dancefloor momentum.
Timeline
- 00:45Groove Established
- 06:20Energy Plateau
- 15:30Groove Lock
- 19:45Tension Peak
- 27:30Groove Lock
Coaching notes
- Experiment with more dramatic frequency sweeps to accentuate buildup peaks.
- Incorporate occasional vocal snippets to create 'hook' moments for the crowd.
- Vary the duration of pressure-building segments to keep the audience guessing.
- Explore more varied emotional textures, perhaps adding moments of euphoria.
- Introduce a brief melodic breakdown to provide emotional contrast.
- Experiment with slightly more aggressive EQ cuts for dramatic effect.
- Maintain the current level of technical precision; it is your strongest asset.
- Experiment with more daring melodic counterpoints to add a unique signature.
- Use the high-pass filter more aggressively during transitions to create sharper energy shifts.
- Consider a brief 'ambient' breakdown to reset the crowd's ears before the final peak.
- Introduce more melodic or atmospheric layers to add emotional depth.
- Experiment with longer, more dramatic breakdowns to vary the energy arc.
- Incorporate subtle vocal elements to increase crowd engagement.
- Try layering three tracks during peak moments to create a more complex sonic texture.
- Experiment with more dramatic filter sweeps during long percussive blends to add another layer of tension.
- Consider a brief 'silent' breakdown in the final 5 minutes to reset the crowd's ears before the final pad entry.
- Slightly reduce the high-frequency gain on the final track to ensure a smoother sonic exit.
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 Nina Kraviz's @ amnesia 17 august 2025 get?
- @ amnesia 17 august 2025 scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is @ amnesia 17 august 2025?
- The analysed recording runs 2h 19m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 87/100, while SURPRISE is the lowest at 77/100.
- 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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