Kobosil — Kobosil | Unpolished 2019 | Warehouse Elementenstraat, Amsterdam

    Hard Techno · 1h 32m · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 32m
    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, Kobosil.

    In short

    Kobosil | Unpolished 2019 | Warehouse Elementenstraat, Amsterdam by Kobosil scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is SURPRISE (82/100).

    This mix succeeds by treating industrial noise not as a distraction, but as the primary rhythmic engine of the dancefloor.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:30, 30:00, 35:00, 40:00, 58:00, 63:00). Long loops kill dancefloor momentum.

    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.

    • 8:00Measured (DSP)92/100Listen at 8:00

      Masterful management of energy; the transition feels like a natural evolution of the sound.

    • 14:20Measured (DSP)88/100Listen at 14:20

      Smooth integration of new drum elements, maintaining the rolling momentum.

    • 17:25Measured (DSP)85/100Listen at 17:25

      Precise low-end handover on the phrase, no loss of energy.

    • 21:15Measured (DSP)82/100Listen at 21:15

      Effective use of mid-range elements to bridge two tracks with similar industrial textures.

    • 24:45Measured (DSP)90/100Listen at 24:45

      Excellent layering of hats and claps; the transition is felt through energy rather than a cut.

    • 29:12Measured (DSP)88/100Listen at 29:12

      Smooth transition of the sub-bass frequencies on the phrase change.

    About this hard techno set

    Kobosil | Unpolished 2019 | Warehouse Elementenstraat, Amsterdam is a hard techno DJ set by Kobosil, running 1h 32m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This mix succeeds by treating industrial noise not as a distraction, but as the primary rhythmic engine of the dancefloor.

    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 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 35 points, moving between 30 and 96 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 662.2 grid breaks per hour, with a median beat offset of 16 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

    This mix succeeds by treating industrial noise not as a distraction, but as the primary rhythmic engine of the dancefloor.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%88
    Beat Alignmentmeasured86
    Transition Qualitymeasured83
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI93
    ProgressionAI91
    Tension & ReleaseAI87
    Section AwarenessAI92
    Flow ContinuityAI94
    PayoffAI93

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured84
    PacingAI90
    MomentumAI95
    Peak ManagementAI90
    Energy HandoffAI93
    Fatigue ControlAI47

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI83
    ContrastAI81
    Transition Varietymeasured94
    Selection RiskAI90
    FreshnessAI42
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI95
    ConfidenceAI96
    RestraintAI85
    SignatureAI94

    Energy arc

    0:0092:22

    Transitions analysed (6)

    8:00

    Long textural blend into full kick re-entry

    Masterful management of energy; the transition feels like a natural evolution of the sound.

    92
    14:20

    Long percussive blend

    Smooth integration of new drum elements, maintaining the rolling momentum.

    88
    17:25

    EQ-based swap

    Precise low-end handover on the phrase, no loss of energy.

    85
    21:15

    Layered transition

    Effective use of mid-range elements to bridge two tracks with similar industrial textures.

    82
    24:45

    Long percussive blend

    Excellent layering of hats and claps; the transition is felt through energy rather than a cut.

    90
    29:12

    EQ-based low-end swap

    Smooth transition of the sub-bass frequencies on the phrase change.

    88

    Technical subscores

    87

    EQ balance

    92

    Beat alignment

    91

    Energy control

    95

    Tempo stability

    88

    Loudness control

    92

    Musical coherence

    81

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    16 ms

    Beat-grid drift (median)

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

    202 ms

    Drift p95

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

    5,524

    Boundaries detected

    Points where the audio changes track or section.

    20

    Hard cuts / h

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

    39

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    36

    Level jumps

    Sudden volume steps between tracks.

    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 (14:30, 30:00, 35:00, 40:00, 58:00, 63:00). Long loops kill dancefloor momentum.

    Timeline

    • 4:30Rhythmic Entry
    • 11:00Peak Pressure
    • 15:45Rhythmic Lock-in
    • 19:20Peak Tension
    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 Kobosil's Kobosil | Unpolished 2019 | Warehouse Elementenstraat, Amsterdam get?
    Kobosil | Unpolished 2019 | Warehouse Elementenstraat, Amsterdam scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Kobosil | Unpolished 2019 | Warehouse Elementenstraat, Amsterdam?
    The analysed recording runs 1h 32m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE 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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