HadonePS Invites 003 - Hadone

    Hard Techno · 2h 02m · analysed 23 Aug 2026

    Overall score
    85/100
    Level
    festival ready
    Duration
    2h 02m
    Genre
    Hard Techno

    About this hard techno set

    PS Invites 003 - Hadone is a hard techno DJ set by Hadone, running 2h 02m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This DJ understands that in driving techno, the space between the kicks is where the story is told.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; the weakest is SURPRISE at 83/100.

    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 51 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 223.1 grid breaks per hour, with a median beat offset of 2 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in driving techno, the space between the kicks is where the story is told.

    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%86
    Beat Alignmentmeasured98
    Transition Qualitymeasured65
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI90
    ProgressionAI90
    Tension & ReleaseAI85
    Section AwarenessAI88
    Flow ContinuityAI94
    PayoffAI90

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured81
    PacingAI88
    MomentumAI94
    Peak ManagementAI87
    Energy HandoffAI91
    Fatigue ControlAI70

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI81
    ContrastAI78
    Transition Varietymeasured93
    Selection RiskAI88
    FreshnessAI68
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI92
    Identity ConsistencyAI97
    IntentionalityAI94
    ConfidenceAI95
    RestraintAI82
    SignatureAI92

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

    Energy arc

    00:00111:00

    Transitions analysed (9)

    02:45

    Long EQ blend with low-end swap

    Seamless transition where the sub-bass of the incoming track takes over perfectly on the phrase.

    92
    05:45

    Mid-frequency crossover

    A slightly aggressive mid-swap that adds energy but causes a minor level jump.

    82
    09:40

    Filter-assisted blend

    High-pass filter used on the outgoing track to make room for the incoming kick drum.

    90
    12:45

    Perfect EQ Blend

    100
    17:00

    Minor Level Jump

    intentional_reset

    82
    20:45

    Seamless Groove Lock

    100
    23:15

    Long EQ blend with high-pass filtering

    Smooth introduction of industrial percussion over the existing groove.

    92
    26:20

    Bass swap on the 32nd bar

    Precise low-end handover that maintains the rolling momentum.

    88
    30:15

    Fast layering with high-frequency emphasis

    Excellent energy handoff that pushes the mix into its highest intensity phase.

    94

    Technical subscores

    87

    EQ balance

    93

    Beat alignment

    92

    Energy control

    94

    Tempo stability

    88

    Loudness control

    90

    Musical coherence

    83

    Harmonic compatibility

    89

    Transition cleanliness

    Measured (DSP)

    2.1 ms

    Beat-grid drift (median)

    82 ms

    Drift p95

    7,279

    Boundaries detected

    153

    Hard cuts / h

    143

    Clipping events

    456

    Level jumps

    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 (13:00, 30:30, 33:00, 41:00, 44:00, 50:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Groove continuity
    • Energy management
    • Technical precision

    Timeline

    • 01:30Groove Lock Established
    • 06:15Mid-Frequency Build-up
    • 24:30Groove Lock
    • 28:50Tension Peak

    Coaching notes

    • Continue to leverage fast layering to maintain the high-energy signature.
    • Consider incorporating more varied melodic textures to add emotional depth.
    • Experiment with brief moments of silence to enhance the impact of percussive drops.
    • Experiment with more extreme frequency isolation during transitions to create 'ghost' rhythms.
    • Use industrial noise as a transitional bridge between tracks to further blur the lines.
    • Incorporate a few tracks with more prominent vocal hooks to provide a human element.
    • Vary the length of transitions to keep the audience guessing about the next move.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Hadone's PS Invites 003 - Hadone get?
    PS Invites 003 - Hadone scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is PS Invites 003 - Hadone?
    The analysed recording runs 2h 02m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, while SURPRISE is the lowest at 83/100.
    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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