Kobosil — KOBOSIL - HARD SUNSET RAVE (LIVE @ HIVE FESTIVAL)

    Hard Techno · 1h 08m · analysed 20 Aug 2026 · source: soundcloud.com

    Overall score
    64/100
    Level
    developing
    Duration
    1h 08m
    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 - HARD SUNSET RAVE (LIVE @ HIVE FESTIVAL) by Kobosil scores 64/100 in the SOONOS analysis (developing). The strongest dimension is IDENTITY (93/100) and the weakest is TECHNIQUE (81/100).

    This set demonstrates how to maintain extreme pressure without losing the underlying groove.

    Key takeaways

    What weakened the set

    • Long static loops (3×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (4:30, 17:00, 57:00). Long loops kill dancefloor momentum.
    • Beat alignment needs work — typical drift of 30 ms — Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.

    What to try next

    • Experiment with brief, atmospheric breakdowns to create even more dramatic tension.
    • Incorporate subtle melodic elements to add emotional depth to the industrial sound.
    • Continue to refine the interplay between frequency bands during long, percussive blends.
    • Introduce a 32-bar atmospheric breakdown at the 64-minute mark to provide a brief 'oxygen' moment before the final peak.

    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.

    • 1:28Measured (DSP)90/100Listen at 1:28

      Perfectly timed bass handover that maintains the driving momentum.

    • 4:12Measured (DSP)88/100Listen at 4:12

      High-energy transition that uses filtering to create a sharp impact.

    • 7:45Measured (DSP)82/100Listen at 7:45

      Smooth integration of two tracks, though slightly dense in the mids.

    • 12:55Measured (DSP)92/100Listen at 12:55

      Seamless transition where the incoming track's hats and snares perfectly lock with the outgoing groove.

    • 16:20Measured (DSP)85/100Listen at 16:20

      Effective use of a high-pass filter to build tension before dropping the new track's low end.

    • 20:15Measured (DSP)90/100Listen at 20:15

      A high-impact transition that perfectly aligns with the track's structure, maximizing energy.

    • 27:28Measured (DSP)82/100Listen at 27:28

      Strategic disruption

    • 30:12Measured (DSP)100/100Listen at 30:12

      Intentional reset

    About this hard techno set

    KOBOSIL - HARD SUNSET RAVE (LIVE @ HIVE FESTIVAL) is a hard techno DJ set by Kobosil, running 1h 08m. It was measured by the SOONOS multi-agent engine and scores 64/100 overall — developing.

    The engine files this performance as “Promising”.

    This set demonstrates how to maintain extreme pressure without losing the underlying groove.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is TECHNIQUE at 81/100.

    The final score is capped by measured beatmatching: 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 20 points, moving between 75 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.

    9 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 615.6 grid breaks per hour, with a median beat offset of 30 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.

    On this set, the ceiling applied is measured beatmatching.

    Measured coverage for this file is 100% of the set.

    Listen to the original set

    Full SOONOS analysis

    0

    This set demonstrates how to maintain extreme pressure without losing the underlying groove.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%81
    Beat Alignmentmeasured62
    Transition Qualitymeasured72
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI91
    ProgressionAI86
    Tension & ReleaseAI88
    Section AwarenessAI88
    Flow ContinuityAI92
    PayoffAI95

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured85
    PacingAI89
    MomentumAI96
    Peak ManagementAI91
    Energy HandoffAI92
    Fatigue ControlAI47

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI84
    ContrastAI78
    Transition Varietymeasured94
    Selection RiskAI91
    FreshnessAI46
    Surprise ControlAI84

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI93
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI96
    RestraintAI80
    SignatureAI95

    Final score capped by measured beatmatching — the weighted average before the cap was 86.

    Energy arc

    0:0068:00

    Transitions analysed (9)

    1:28

    EQ-based low-end swap

    Perfectly timed bass handover that maintains the driving momentum.

    90
    4:12

    Fast layering with high-pass filter

    High-energy transition that uses filtering to create a sharp impact.

    88
    7:45

    Long blend with mid-range focus

    Smooth integration of two tracks, though slightly dense in the mids.

    82
    12:55

    Long EQ blend with percussion layering

    Seamless transition where the incoming track's hats and snares perfectly lock with the outgoing groove.

    92
    16:20

    Filter sweep and quick EQ swap

    Effective use of a high-pass filter to build tension before dropping the new track's low end.

    85
    20:15

    Drop swap on the phrase

    A high-impact transition that perfectly aligns with the track's structure, maximizing energy.

    90
    23:45

    Perfect Blend

    100
    27:28

    Minor EQ Overlap

    strategic_disruption

    82
    30:12

    Sharp Cut

    intentional_reset

    100

    Technical subscores

    87

    EQ balance

    93

    Beat alignment

    93

    Energy control

    95

    Tempo stability

    87

    Loudness control

    89

    Musical coherence

    82

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    30 ms

    Beat-grid drift (median)

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

    162 ms

    Drift p95

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

    4,071

    Boundaries detected

    Points where the audio changes track or section.

    98

    Hard cuts / h

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

    50

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    173

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (3×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (4:30, 17:00, 57:00). Long loops kill dancefloor momentum.

    • Beat alignment needs work — typical drift of 30 ms

      Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.

    Timeline

    • 2:30Vocal Loop Tension
    • 5:45Industrial Peak
    • 9:20Pressure Release
    • 14:45Tension Peak
    • 18:30Energy Surge
    • 21:50Groove Lock

    Coaching notes

    • Experiment with brief, atmospheric breakdowns to create even more dramatic tension.
    • Incorporate subtle melodic elements to add emotional depth to the industrial sound.
    • Continue to refine the interplay between frequency bands during long, percussive blends.
    • Introduce a 32-bar atmospheric breakdown at the 64-minute mark to provide a brief 'oxygen' moment before the final peak.
    • Experiment with subtle vocal stabs or industrial FX hits to add more narrative detail to the long percussive plateaus.
    • Maintain this high-precision gain staging; the mix sounds powerful without being fatiguing.
    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 - HARD SUNSET RAVE (LIVE @ HIVE FESTIVAL) get?
    KOBOSIL - HARD SUNSET RAVE (LIVE @ HIVE FESTIVAL) scores 64/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
    How long is KOBOSIL - HARD SUNSET RAVE (LIVE @ HIVE FESTIVAL)?
    The analysed recording runs 1h 08m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, 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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