Nina Kraviz — Mount Olympus set @Reworks festival

    Experimental Techno · 2h 08m · analysed 18 Aug 2026 · source: soundcloud.com

    Overall score
    81/100
    Level
    club ready
    Duration
    2h 08m
    Genre
    Experimental Techno

    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

    Mount Olympus set @Reworks festival by Nina Kraviz scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (89/100) and the weakest is SURPRISE (80/100).

    This is the sound of a DJ who understands that the space between the beats is as important as the beats themselves.

    Key takeaways

    What worked

    • Technical precision
    • Groove continuity
    • Selection appropriateness
    • Flawless technical execution and EQ management.

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 4:00, 8:00, 14:30, 19:30, 29:00). Long loops kill dancefloor momentum.

    What to try next

    • Maintain the long, smooth blends; they are your signature.
    • Experiment with more aggressive EQ cuts to create brief moments of tension.
    • Consider adding a very subtle melodic element to provide a counterpoint to the industrial sounds.
    • Incorporate more dynamic filter sweeps during long, static loops to maintain a sense of movement.

    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.

    • 6:12Measured (DSP)94/100Listen at 6:12

      A textbook example of a deep techno blend. The incoming track is introduced so subtly that the transition is only noticeable by the change in percussive texture.

    • 12:45Measured (DSP)94/100Listen at 12:45

      Perfectly executed transition, maintaining the hypnotic flow without a ripple.

    • 17:15Measured (DSP)92/100Listen at 17:15

      Seamless integration of new rhythmic elements, enhancing the drive.

    • 23:45Measured (DSP)92/100Listen at 23:45

      A masterfully executed blend where the incoming kick replaces the outgoing one so smoothly it's almost imperceptible.

    • 27:52Measured (DSP)88/100Listen at 27:52

      Smooth introduction of new melodic elements using high-pass filters to avoid clutter.

    About this experimental techno set

    Mount Olympus set @Reworks festival is a experimental techno DJ set by Nina Kraviz, running 2h 08m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.

    The engine files this performance as “Promising”.

    This is the sound of a DJ who understands that the space between the beats is as important as the beats themselves.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 89/100; the weakest is SURPRISE at 80/100.

    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 59 points, moving between 40 and 92 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 929.5 grid breaks per hour, with a median beat offset of 21 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.

    Listen to the original set

    Full SOONOS analysis

    0

    This is the sound of a DJ who understands that the space between the beats is as important as the beats themselves.

    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
    Beat Alignmentmeasured80
    Transition Qualitymeasured73
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured66

    STORYTELLING

    Did the mix go somewhere?

    25%88
    Narrative ArcAI90
    ProgressionAI87
    Tension & ReleaseAI85
    Section AwarenessAI87
    Flow ContinuityAI92
    PayoffAI85

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured82
    PacingAI87
    MomentumAI91
    Peak ManagementAI84
    Energy HandoffAI86
    Fatigue ControlAI60

    SURPRISE

    Did you remain unpredictable?

    15%80
    Unexpected MomentsAI79
    ContrastAI80
    Transition Varietymeasured90
    Selection RiskAI80
    FreshnessAI59
    Surprise ControlAI79

    IDENTITY

    Did the mix sound like you?

    15%89
    Selection QualityAI87
    Identity ConsistencyAI95
    IntentionalityAI89
    ConfidenceAI90
    RestraintAI86
    SignatureAI84

    Energy arc

    0:00128:15

    Transitions analysed (5)

    6:12

    Long EQ blend with low-end swap

    A textbook example of a deep techno blend. The incoming track is introduced so subtly that the transition is only noticeable by the change in percussive texture.

    94
    12:45

    Long EQ blend, low-end swap on phrase

    Perfectly executed transition, maintaining the hypnotic flow without a ripple.

    94
    17:15

    32-bar percussive blend

    Seamless integration of new rhythmic elements, enhancing the drive.

    92
    23:45

    Long EQ blend with low-end swap

    A masterfully executed blend where the incoming kick replaces the outgoing one so smoothly it's almost imperceptible.

    92
    27:52

    Mid-range layering and filter sweep

    Smooth introduction of new melodic elements using high-pass filters to avoid clutter.

    88

    Technical subscores

    86

    EQ balance

    93

    Beat alignment

    87

    Energy control

    93

    Tempo stability

    86

    Loudness control

    89

    Musical coherence

    87

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    21 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.

    7,677

    Boundaries detected

    Points where the audio changes track or section.

    81

    Hard cuts / h

    Abrupt track changes per hour, with no blend between the two records.

    115

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    619

    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, 4:00, 8:00, 14:30, 19:30, 29:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical precision
    • Groove continuity
    • Selection appropriateness
    • Flawless technical execution and EQ management.
    • Exceptional patience and restraint in the mix.
    • Strong sense of narrative and groove continuity.
    • Groove continuity
    • Narrative use of vocals
    • Tension management

    Timeline

    • 14:50Groove Lock
    • 20:10Tension Peak
    • 25:10Groove Lock

    Coaching notes

    • Maintain the long, smooth blends; they are your signature.
    • Experiment with more aggressive EQ cuts to create brief moments of tension.
    • Consider adding a very subtle melodic element to provide a counterpoint to the industrial sounds.
    • Incorporate more dynamic filter sweeps during long, static loops to maintain a sense of movement.
    • Experiment with brief melodic or atmospheric 'breathers' to reset the tension and enhance the impact of subsequent peaks.
    • Ensure volume levels are perfectly matched during quick transitions to avoid jarring jumps in energy.
    • Experiment with a slightly longer final breakdown to allow the crowd to fully absorb the set's journey.
    • Consider adding a subtle melodic element in the final 5 minutes to provide an emotional release.
    • Maintain the excellent use of spoken word; it is a strong part of your artistic signature.
    Listen on SoundCloud

    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 Mount Olympus set @Reworks festival get?
    Mount Olympus set @Reworks festival scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Mount Olympus set @Reworks festival?
    The analysed recording runs 2h 08m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 89/100, while SURPRISE is the lowest at 80/100.
    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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