Yellow Claw — Yellow Claw - #7

    Trap EDM · 53 min · analysed 26 Aug 2026 · source: soundcloud.com

    Overall score
    81/100
    Level
    club ready
    Duration
    53 min
    Genre
    Trap EDM

    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, Yellow Claw.

    In short

    Yellow Claw - #7 by Yellow Claw scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (89/100) and the weakest is SURPRISE (78/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (5×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (16:00, 32:00, 36:00, 42:00, 46:00). Long loops kill dancefloor momentum.

    What to try next

    • Vary the intensity levels to create a more dynamic journey.
    • Experiment with longer, more complex blends to showcase technical depth.
    • Incorporate more unexpected genre shifts to surprise the audience.
    • Use silence or minimal sections more effectively to build anticipation.

    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.

    About this trap edm set

    Yellow Claw - #7 is a trap edm DJ set by Yellow Claw, running 53 min. It was measured by the SOONOS multi-agent engine and scores 81/100 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 89/100; the weakest is SURPRISE at 78/100.

    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 24 points, moving between 80 and 98 on the SOONOS energy scale — a narrow dynamic range across the set.

    10 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 827.3 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

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%83
    Beat Alignmentmeasured81
    Transition Qualitymeasured70
    Phrase Accuracymeasured89
    EQ & Frequency Control (estimated)measured83
    Tempo Stability (estimated)measured92
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%86
    Narrative ArcAI86
    ProgressionAI81
    Tension & ReleaseAI86
    Section AwarenessAI86
    Flow ContinuityAI84
    PayoffAI94

    ENERGY

    Did you control the room?

    20%82
    Energy Curvemeasured81
    PacingAI83
    MomentumAI92
    Peak ManagementAI89
    Energy HandoffAI88
    Fatigue ControlAI44

    SURPRISE

    Did you remain unpredictable?

    15%78
    Unexpected MomentsAI79
    ContrastAI77
    Transition Varietymeasured92
    Selection RiskAI84
    FreshnessAI37
    Surprise ControlAI79

    IDENTITY

    Did the mix sound like you?

    15%89
    Selection QualityAI87
    Identity ConsistencyAI96
    IntentionalityAI92
    ConfidenceAI95
    RestraintAI67
    SignatureAI92

    Energy arc

    0:0052:00

    Transitions analysed (10)

    1:45

    Perfect Drop Swap

    strategic_disruption

    100
    3:45

    Minor Level Jump

    82
    5:45

    Clean Vocal Overlay

    intentional_reset

    100
    7:45

    Seamless Genre Switch

    strategic_disruption

    100
    10:15

    Slight EQ Overlap

    82
    12:45

    Quick cut on the drop

    Perfectly timed swap between two high-energy tracks.

    85
    15:20

    Short EQ blend

    Smooth transition with effective low-end management.

    78
    21:50

    Perfect Drop Swap

    intentional_reset

    100
    25:45

    Minor Level Jump

    82
    29:40

    Elite Genre Switch

    strategic_disruption

    100

    Technical subscores

    83

    EQ balance

    90

    Beat alignment

    88

    Energy control

    92

    Tempo stability

    87

    Loudness control

    86

    Musical coherence

    80

    Harmonic compatibility

    84

    Transition cleanliness

    Measured (DSP)

    21 ms

    Beat-grid drift (median)

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

    279 ms

    Drift p95

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

    3,156

    Boundaries detected

    Points where the audio changes track or section.

    70

    Hard cuts / h

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

    15

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    240

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (16:00, 32:00, 36:00, 42:00, 46:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:15Signature Vocal Tag
    • 4:45Drop Transition
    • 8:12Genre Pivot
    • 14:10Energy Peak
    • 17:30Vocal Hype Section

    Coaching notes

    • Vary the intensity levels to create a more dynamic journey.
    • Experiment with longer, more complex blends to showcase technical depth.
    • Incorporate more unexpected genre shifts to surprise the audience.
    • Use silence or minimal sections more effectively to build anticipation.
    • Experiment with longer melodic breakdowns to create more emotional contrast.
    • Incorporate more live-style call-and-response elements to deepen crowd engagement.
    • Vary the buildup textures to keep the transitions feeling fresh and unpredictable.
    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 Yellow Claw's Yellow Claw - #7 get?
    Yellow Claw - #7 scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Yellow Claw - #7?
    The analysed recording runs 53 min.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 89/100, while SURPRISE is the lowest at 78/100.
    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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