Clara Cuvé(Increased volume)Clara Cuvé | Boiler Room x Bónusz Festival

    Hard Techno · 1h 32m · Boiler Room · analysed 22 Aug 2026

    Overall score
    84/100
    Level
    club ready
    Duration
    1h 32m
    Genre
    Hard Techno

    About this hard techno set

    (Increased volume)Clara Cuvé | Boiler Room x Bónusz Festival is a hard techno DJ set by Clara Cuvé, running 1h 32m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.

    The engine files this performance as “Promising”.

    This DJ understands that in a festival setting, momentum is more important than perfection, using raw energy as a narrative tool.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 91/100; the weakest is TECHNIQUE at 80/100.

    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 95 on the SOONOS energy scale — a wide dynamic range across the set.

    10 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 366.5 grid breaks per hour, with a median beat offset of 23 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in a festival setting, momentum is more important than perfection, using raw energy as a narrative tool.

    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%80
    Beat Alignmentmeasured78
    Transition Qualitymeasured61
    Phrase Accuracymeasured88
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured93
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI90
    ProgressionAI88
    Tension & ReleaseAI84
    Section AwarenessAI90
    Flow ContinuityAI91
    PayoffAI92

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured81
    PacingAI86
    MomentumAI94
    Peak ManagementAI90
    Energy HandoffAI92
    Fatigue ControlAI75

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI80
    ContrastAI79
    Transition Varietymeasured91
    Selection RiskAI86
    FreshnessAI79
    Surprise ControlAI80

    IDENTITY

    Did the mix sound like you?

    15%91
    Selection QualityAI90
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI95
    RestraintAI74
    SignatureAI92

    Final score capped by measured execution (-) — weighted average was 86.

    Energy arc

    0:0091:30

    Transitions analysed (10)

    2:15

    EQ-heavy blend with low-end swap

    Solid introduction of the second track's kick, maintaining the driving momentum.

    85
    5:12

    High-pass filter sweep into a hard drop

    Expertly timed energy release that perfectly captures the festival atmosphere.

    92
    8:24

    Fast layering of industrial percussion

    A bit cluttered in the mid-range for a few bars, but the energy remains high.

    72
    11:20

    Long blend with gradual high-end introduction

    Smooth transition that evolves the texture without breaking the hypnotic state.

    88
    13:45

    Perfect Energy Handoff

    intentional_reset

    100
    16:20

    Minor EQ Overlap

    82
    19:00

    Seamless Layering

    strategic_disruption

    100
    21:50

    Fast Cut

    intentional_reset

    82
    24:15

    High-pass filter blend with percussive overlap

    Smooth transition maintaining the industrial drive; EQ work is precise.

    85
    29:42

    Quick cut-in on the downbeat

    Slightly abrupt energy shift, though the beatmatch is solid.

    72

    Technical subscores

    84

    EQ balance

    90

    Beat alignment

    90

    Energy control

    93

    Tempo stability

    88

    Loudness control

    88

    Musical coherence

    76

    Harmonic compatibility

    84

    Transition cleanliness

    Measured (DSP)

    22.8 ms

    Beat-grid drift (median)

    168.4 ms

    Drift p95

    5,512

    Boundaries detected

    323

    Hard cuts / h

    2071

    Clipping events

    576

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Repeated volume jumps

      Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 3× (5:12, 8:24, 29:42).

    • Long static loops (4×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (46:00, 56:00, 59:30, 67:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional energy management
    • Confident, intentional selection
    • Strong industrial aesthetic

    Timeline

    • 0:30Atmospheric Hook
    • 5:12Peak Energy Release
    • 8:30Mid-Range Clutter
    • 8:24Risky pressure or vibe dip
    • 26:30Industrial Peak
    • 29:42Risky pressure or vibe dip
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Clara Cuvé's (Increased volume)Clara Cuvé | Boiler Room x Bónusz Festival get?
    (Increased volume)Clara Cuvé | Boiler Room x Bónusz Festival scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is (Increased volume)Clara Cuvé | Boiler Room x Bónusz Festival?
    The analysed recording runs 1h 32m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 91/100, while TECHNIQUE 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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