SOONOS

    RebekahDJ set at Nature One 2015

    Hard Techno · 1h 30m · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    80/100
    Level
    club ready
    Duration
    1h 30m
    Genre
    Hard 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, Rebekah.

    In short

    DJ set at Nature One 2015 by Rebekah scores 80/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (88/100) and the weakest is SURPRISE (75/100).

    You aren't just playing tracks; you are building a machine, and every transition is a perfectly fitted gear.

    Key takeaways

    What weakened the set

    • Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (08:45, 28:00).
    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (1:00, 9:00, 13:00, 22:00, 30:00, 34:00). Long loops kill dancefloor momentum.

    What to try next

    • Use more mid-range EQ carving to separate layered synth loops.
    • Incorporate brief 'silent' gaps (1/2 beat) before major drops to increase impact.
    • Vary the length of transitions to keep the listener guessing.

    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.

    • 04:12Measured (DSP)90/100Listen at 04:12

      A textbook techno transition. The incoming track's sub-bass is introduced so gradually that the groove never wavers.

    • 08:45Measured (DSP)85/100Listen at 08:45

      Smooth integration of new percussive elements. The DJ uses the transition to increase energy rather than just swap tracks.

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

      Incredibly smooth transition. The incoming bassline is introduced so subtly it feels like a natural evolution of the first track.

    • 20:15Measured (DSP)88/100Listen at 20:15

      Effective use of filtering to clear space for the incoming track's lead elements. Energy remains constant.

    • 24:15Measured (DSP)92/100Listen at 24:15

      Perfectly executed transition that maintains the rhythmic momentum.

    • 28:00Measured (DSP)85/100Listen at 28:00

      Smooth introduction of new percussive elements, enhancing the groove.

    About this hard techno set

    DJ set at Nature One 2015 is a hard techno DJ set by Rebekah, running 1h 30m. It was measured by the SOONOS multi-agent engine and scores 80/100 overall — club ready.

    The engine files this performance as “Promising”.

    You aren't just playing tracks; you are building a machine, and every transition is a perfectly fitted gear.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 88/100; the weakest is SURPRISE at 75/100.

    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 48 points, moving between 20 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 852.9 grid breaks per hour, with a median beat offset of 11 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

    You aren't just playing tracks; you are building a machine, and every transition is a perfectly fitted gear.

    The 8 dimensions

    Not available — the 8-dimension profile was not measured for this set.

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%86
    Beat Alignmentmeasured92
    Transition Qualitymeasured68
    Phrase Accuracymeasured90
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%86
    Narrative ArcAI88
    ProgressionAI85
    Tension & ReleaseAI81
    Section AwarenessAI86
    Flow ContinuityAI91
    PayoffAI86

    ENERGY

    Did you control the room?

    20%81
    Energy Curvemeasured76
    PacingAI86
    MomentumAI92
    Peak ManagementAI84
    Energy HandoffAI87
    Fatigue ControlAI47

    SURPRISE

    Did you remain unpredictable?

    15%75
    Unexpected MomentsAI76
    ContrastAI75
    Transition Varietymeasured89
    Selection RiskAI77
    FreshnessAI43
    Surprise ControlAI76

    IDENTITY

    Did the mix sound like you?

    15%88
    Selection QualityAI87
    Identity ConsistencyAI96
    IntentionalityAI89
    ConfidenceAI91
    RestraintAI81
    SignatureAI82

    Energy arc

    00:0089:30

    Transitions analysed (6)

    04:12

    Long EQ blend with low-end swap

    A textbook techno transition. The incoming track's sub-bass is introduced so gradually that the groove never wavers.

    90
    08:45

    Additive layering

    Smooth integration of new percussive elements. The DJ uses the transition to increase energy rather than just swap tracks.

    85
    12:45

    64-bar EQ blend with low-end handover

    Incredibly smooth transition. The incoming bassline is introduced so subtly it feels like a natural evolution of the first track.

    94
    20:15

    High-pass filter sweep and percussive layering

    Effective use of filtering to clear space for the incoming track's lead elements. Energy remains constant.

    88
    24:15

    Long EQ blend with low-end swap

    Perfectly executed transition that maintains the rhythmic momentum.

    92
    28:00

    Percussive layering

    Smooth introduction of new percussive elements, enhancing the groove.

    85

    Technical subscores

    87

    EQ balance

    93

    Beat alignment

    88

    Energy control

    94

    Tempo stability

    86

    Loudness control

    89

    Musical coherence

    84

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    11 ms

    Beat-grid drift (median)

    Typical gap between the two tracks' beats while they play together. Lower is tighter.

    220 ms

    Drift p95

    Worst-case drift: 95% of the set stays tighter than this value.

    5,357

    Boundaries detected

    Points where the audio changes track or section.

    96

    Hard cuts / h

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

    119

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    225

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Recurring mid-frequency clash

      Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (08:45, 28:00).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (1:00, 9:00, 13:00, 22:00, 30:00, 34:00). Long loops kill dancefloor momentum.

    Timeline

    • 00:45The Drop-In
    • 06:20Groove Plateau
    • 26:30Groove Lock Peak
    • 30:15Energy Plateau

    Coaching notes

    • Use more mid-range EQ carving to separate layered synth loops.
    • Incorporate brief 'silent' gaps (1/2 beat) before major drops to increase impact.
    • Vary the length of transitions to keep the listener guessing.
    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 Rebekah's DJ set at Nature One 2015 get?
    DJ set at Nature One 2015 scores 80/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is DJ set at Nature One 2015?
    The analysed recording runs 1h 30m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 88/100, while SURPRISE is the lowest at 75/100.
    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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