Nina Kraviz — @ neopop 2023
Experimental Techno · 1h 55m · 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
@ neopop 2023 by Nina Kraviz scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (91/100) and the weakest is SURPRISE (81/100).
The DJ's ability to maintain a relentless groove while subtly shifting textures is a hallmark of professional mastery.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (31:00, 69:00, 75:00, 81:00, 89:00, 92:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with more dramatic energy resets to create bigger payoffs.
- Incorporate more unique, signature sounds to build a stronger artistic identity.
- Use vocal elements or field recordings to add a human touch to the industrial sound.
- Introduce more micro-variations in the high-end percussion to prevent any hint of monotony.
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.
The transition is so smooth it feels like a single evolving track. The kick drum handover is flawless.
Subtle introduction of new percussive elements. The DJ waits for the perfect phrase boundary.
Perfectly executed transition; the tracks merge into a single, powerful groove.
Smooth transition using filters to manage the energy handoff.
Expertly layered tracks create a rich, complex percussive landscape.
About this experimental techno set
@ neopop 2023 is a experimental techno DJ set by Nina Kraviz, running 1h 55m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.
The engine files this performance as “Promising”.
The DJ's ability to maintain a relentless groove while subtly shifting textures is a hallmark of professional mastery.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 91/100; the weakest is SURPRISE at 81/100.
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 49 points, moving between 10 and 94 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 1044.1 grid breaks per hour, with a median beat offset of 20 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 DJ's ability to maintain a relentless groove while subtly shifting textures is a hallmark of professional mastery.
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%89
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%85
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%81
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%91
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
The transition is so smooth it feels like a single evolving track. The kick drum handover is flawless.
High-pass filter layering
Subtle introduction of new percussive elements. The DJ waits for the perfect phrase boundary.
Long EQ blend with low-end swap
Perfectly executed transition; the tracks merge into a single, powerful groove.
Subtle high-pass filter transition
Smooth transition using filters to manage the energy handoff.
EQ-based layering
Expertly layered tracks create a rich, complex percussive landscape.
Invisible Blend
Percussive Layering
Technical subscores
89
EQ balance
94
Beat alignment
90
Energy control
95
Tempo stability
89
Loudness control
92
Musical coherence
87
Harmonic compatibility
91
Transition cleanliness
Measured (DSP)
20 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
221 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
6,890
Boundaries detected
Points where the audio changes track or section.
112
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
129
Clipping events
Moments where the recording hits the ceiling and distorts.
288
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 (31:00, 69:00, 75:00, 81:00, 89:00, 92:00). Long loops kill dancefloor momentum.
Timeline
- 0:05Thematic Anchor
- 6:30Groove Lock
- 15:30Groove Lock
- 19:45Energy Plateau
Coaching notes
- Experiment with more dramatic energy resets to create bigger payoffs.
- Incorporate more unique, signature sounds to build a stronger artistic identity.
- Use vocal elements or field recordings to add a human touch to the industrial sound.
- Introduce more micro-variations in the high-end percussion to prevent any hint of monotony.
- Experiment with brief, 1-2 bar 'silences' to create sudden, high-impact re-entries.
- Incorporate more subtle, evolving atmospheric pads to add emotional depth to the hypnotic groove.
- Introduce a brief melodic breakdown to provide a moment of relief before the final peak.
- Experiment with more aggressive filter modulation to add a layer of live performance energy.
- Consider a subtle vocal element to create a more memorable 'hook' for the crowd.
- Use more dramatic filter sweeps to create tension during long blends.
- Experiment with short, rhythmic cuts to add surprise to the relentless groove.
- Introduce a track with a strong melodic hook to create a memorable peak moment.
- Ensure the master output has enough headroom to preserve the punch of the kicks.
- Maintain this level of restraint; it is your greatest technical asset.
- Explore slightly more aggressive mid-range EQ sculpting to enhance the industrial grit.
- Consider a more dramatic 'silence' moment before the final track to reset the crowd's ears.
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 @ neopop 2023 get?
- @ neopop 2023 scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is @ neopop 2023?
- The analysed recording runs 1h 55m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 91/100, while SURPRISE 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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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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