Indira Paganotto — Indira Paganotto: Time Warp 30 years 2024 FULL SET

    Hard Techno · 1h 44m · Time Warp · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 44m
    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, Indira Paganotto.

    In short

    Indira Paganotto: Time Warp 30 years 2024 FULL SET by Indira Paganotto scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (82/100).

    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 (69:00, 76:30, 89:00, 92:00, 100:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with longer, more atmospheric breakdowns to create even greater contrast.
    • Incorporate more varied percussion layers during long blends to enhance the groove.
    • Maintain the high level of technical precision; it is a key strength.

    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.

    • 5:45Measured (DSP)100/100Listen at 5:45

      Intentional reset

    • 14:12Measured (DSP)90/100Listen at 14:12

      Perfectly timed transition into a rolling bassline, maintaining high momentum.

    • 18:35Measured (DSP)85/100Listen at 18:35

      High-energy build-up using high-pass filters to create massive tension.

    • 24:20Measured (DSP)92/100Listen at 24:20

      Perfectly transparent transition between two high-energy driving tracks.

    • 28:10Measured (DSP)95/100Listen at 28:10

      Expertly timed transition that uses the breakdown of the incoming track to reset energy.

    About this hard techno set

    Indira Paganotto: Time Warp 30 years 2024 FULL SET is a hard techno DJ set by Indira Paganotto, running 1h 44m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival 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 94/100; the weakest is TECHNIQUE at 82/100.

    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 19 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 777.2 grid breaks per hour, with a median beat offset of 23 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%82
    Beat Alignmentmeasured78
    Transition Qualitymeasured60
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI92
    ProgressionAI90
    Tension & ReleaseAI91
    Section AwarenessAI91
    Flow ContinuityAI93
    PayoffAI97

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured87
    PacingAI90
    MomentumAI95
    Peak ManagementAI93
    Energy HandoffAI94
    Fatigue ControlAI51

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI86
    ContrastAI84
    Transition Varietymeasured94
    Selection RiskAI91
    FreshnessAI47
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI97
    RestraintAI81
    SignatureAI97

    Energy arc

    69:00102:10

    Transitions analysed (6)

    5:45

    Perfect Energy Handoff

    intentional_reset

    100
    10:12

    Minor EQ Overlap

    82
    14:12

    Fast EQ swap on phrase

    Perfectly timed transition into a rolling bassline, maintaining high momentum.

    90
    18:35

    Filter sweep into breakdown

    High-energy build-up using high-pass filters to create massive tension.

    85
    24:20

    EQ-matched low-end handover

    Perfectly transparent transition between two high-energy driving tracks.

    92
    28:10

    Breakdown layering into drop

    Expertly timed transition that uses the breakdown of the incoming track to reset energy.

    95

    Technical subscores

    87

    EQ balance

    95

    Beat alignment

    93

    Energy control

    96

    Tempo stability

    89

    Loudness control

    89

    Musical coherence

    86

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    23 ms

    Beat-grid drift (median)

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

    188 ms

    Drift p95

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

    6,208

    Boundaries detected

    Points where the audio changes track or section.

    157

    Hard cuts / h

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

    69

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    485

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 99% · analysed on the full audio.

    Recurring patterns

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (69:00, 76:30, 89:00, 92:00, 100:00). Long loops kill dancefloor momentum.

    Timeline

    • 29:01The Re-Entry

    Coaching notes

    • Experiment with longer, more atmospheric breakdowns to create even greater contrast.
    • Incorporate more varied percussion layers during long blends to enhance the groove.
    • Maintain the high level of technical precision; it is a key strength.
    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 Indira Paganotto's Indira Paganotto: Time Warp 30 years 2024 FULL SET get?
    Indira Paganotto: Time Warp 30 years 2024 FULL SET scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Indira Paganotto: Time Warp 30 years 2024 FULL SET?
    The analysed recording runs 1h 44m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 82/100.
    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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