Indira PaganottoINDIRA PAGANOTTO : TIME WARP 2025 @ Stage 1 Closing Set

    Hard Techno · 1h 60m · Time Warp · analysed 20 Aug 2026

    Overall score
    85/100
    Level
    festival ready
    Duration
    1h 60m
    Genre
    Hard Techno

    About this hard techno set

    INDIRA PAGANOTTO : TIME WARP 2025 @ Stage 1 Closing Set is a hard techno DJ set by Indira Paganotto, running 1h 60m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This segment demonstrates how to maintain extreme energy levels without sacrificing narrative flow or technical precision.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 81/100.

    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 33 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 644.8 grid breaks per hour, with a median beat offset of 23 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This segment demonstrates how to maintain extreme energy levels without sacrificing narrative flow or technical precision.

    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%81
    Beat Alignmentmeasured78
    Transition Qualitymeasured60
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured69

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI93
    ProgressionAI91
    Tension & ReleaseAI90
    Section AwarenessAI91
    Flow ContinuityAI92
    PayoffAI97

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured88
    PacingAI90
    MomentumAI96
    Peak ManagementAI92
    Energy HandoffAI94
    Fatigue ControlAI43

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI86
    ContrastAI83
    Transition Varietymeasured94
    Selection RiskAI90
    FreshnessAI40
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI94
    Identity ConsistencyAI98
    IntentionalityAI95
    ConfidenceAI97
    RestraintAI81
    SignatureAI95

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

    Energy arc

    12:00119:59

    Transitions analysed (6)

    2:15

    Long atmospheric blend with high-pass filtering

    Perfectly executed introduction of the first rhythmic element under the intro pad.

    92
    5:48

    Drop swap with low-end crossover

    High-impact transition that shifts the groove into a more driving psychedelic state.

    94
    9:12

    EQ-based layering of percussive stems

    Smooth integration of new high-hat patterns to increase energy density.

    88
    13:45

    High-pass filter sweep with low-end swap

    Perfectly timed bass handover that keeps the momentum rolling.

    90
    20:15

    Long blend into breakdown

    Strategic layering of the operatic vocal over the outgoing track's percussion.

    85
    26:00

    Long EQ blend with high-pass filtering

    Seamless integration of a new percussive layer, maintaining the driving energy.

    90

    Technical subscores

    88

    EQ balance

    93

    Beat alignment

    92

    Energy control

    95

    Tempo stability

    87

    Loudness control

    88

    Musical coherence

    84

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    22.9 ms

    Beat-grid drift (median)

    179.2 ms

    Drift p95

    7,181

    Boundaries detected

    316

    Hard cuts / h

    53

    Clipping events

    670

    Level jumps

    Measurement confidence 99% · analysed on the full audio.

    Recurring patterns

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (15:00, 30:45, 72:00, 80:00, 84:00, 91:20). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Unmistakable artistic identity.
    • Exceptional energy management.
    • Flawless phrase alignment.

    Timeline

    • 0:45Atmospheric Hook
    • 6:30Energy Peak
    • 11:45Tension Build
    • 5:48Risky pressure or vibe dip
    • 21:15Thematic Peak
    • 18:40Percussive Overload
    • 28:30Strategic Breakdown

    Coaching notes

    • Experiment with brief 'silence' gaps before major drops to enhance the physical impact.
    • Layer a subtle atmospheric pad during the final 2 minutes to smooth the transition to silence.
    • Monitor the 200Hz-400Hz range during the final blend to ensure the psy-bassline remains distinct from the techno kick.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Indira Paganotto's INDIRA PAGANOTTO : TIME WARP 2025 @ Stage 1 Closing Set get?
    INDIRA PAGANOTTO : TIME WARP 2025 @ Stage 1 Closing Set scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is INDIRA PAGANOTTO : TIME WARP 2025 @ Stage 1 Closing Set?
    The analysed recording runs 1h 60m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 81/100.
    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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