I Hate ModelsI Hate Models @ Nuits Sonores Lyon

    Hard Techno · 2h 01m · analysed 20 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    2h 01m
    Genre
    Hard Techno

    About this hard techno set

    I Hate Models @ Nuits Sonores Lyon is a hard techno DJ set by I Hate Models, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    The power of this set lies in the DJ's ability to make 140+ BPM feel like a deep, evolving story rather than just a series of kicks.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is SURPRISE at 83/100.

    The final score is capped by measured -: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.

    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 27 points, moving between 40 and 98 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1047.6 grid breaks per hour, with a median beat offset of 6 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    The power of this set lies in the DJ's ability to make 140+ BPM feel like a deep, evolving story rather than just a series of kicks.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%83
    Beat Alignmentmeasured98
    Transition Qualitymeasured59
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured65

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI92
    ProgressionAI90
    Tension & ReleaseAI91
    Section AwarenessAI91
    Flow ContinuityAI92
    PayoffAI96

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured85
    PacingAI91
    MomentumAI95
    Peak ManagementAI93
    Energy HandoffAI94
    Fatigue ControlAI43

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI85
    ContrastAI83
    Transition Varietymeasured94
    Selection RiskAI89
    FreshnessAI40
    Surprise ControlAI85

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI94
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI97
    RestraintAI81
    SignatureAI95

    Final score capped by measured execution (-) — weighted average was 87.

    Energy arc

    12:00120:49

    Transitions analysed (6)

    3:45

    Perfect EQ Swap

    100
    8:00

    Minor Mid Overlap

    strategic_disruption

    82
    10:45

    High-Impact Drop Swap

    100
    14:12

    High-pass filter blend with mid-range swap

    Smooth transition between two industrial loops, maintaining the driving rhythm.

    88
    19:45

    Double-drop with low-end cut

    High-energy switch that amplifies the industrial grit of the set.

    85
    26:12

    EQ-based percussive blend

    Smooth integration of a new industrial loop, maintaining the driving kick rhythm.

    90

    Technical subscores

    84

    EQ balance

    91

    Beat alignment

    93

    Energy control

    94

    Tempo stability

    87

    Loudness control

    89

    Musical coherence

    79

    Harmonic compatibility

    84

    Transition cleanliness

    Measured (DSP)

    5.5 ms

    Beat-grid drift (median)

    198.4 ms

    Drift p95

    7,231

    Boundaries detected

    140

    Hard cuts / h

    114

    Clipping events

    378

    Level jumps

    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 (16:00, 24:00, 28:00, 72:00, 82:00, 109:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional tension management
    • Strong narrative identity
    • Precise rhythmic control

    Timeline

    • 16:50Industrial Texture Peak
    • 22:10Rhythmic Tension Hold
    • 28:30Industrial Peak
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does I Hate Models's I Hate Models @ Nuits Sonores Lyon get?
    I Hate Models @ Nuits Sonores Lyon scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is I Hate Models @ Nuits Sonores Lyon?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 83/100.
    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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