Speedy JSpeedy J @ Awakenings Festival 2020 | online weekender

    Experimental Techno · 1h 28m · Awakenings · analysed 19 Aug 2026

    Overall score
    89/100
    Level
    festival ready
    Duration
    1h 28m
    Genre
    Experimental Techno

    About this experimental techno set

    Speedy J @ Awakenings Festival 2020 | online weekender is a experimental techno DJ set by Speedy J, running 1h 28m. It was measured by the SOONOS multi-agent engine and scores 89/100 overall — festival ready.

    The engine files this performance as “Promising”.

    Speedy J demonstrates why he is a master of the craft, using the space between tracks to create a unique, evolving sonic architecture.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is SURPRISE at 86/100.

    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 30 points, moving between 40 and 95 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 428.7 grid breaks per hour, with a median beat offset of 16 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    Speedy J demonstrates why he is a master of the craft, using the space between tracks to create a unique, evolving sonic architecture.

    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%89
    Beat Alignmentmeasured87
    Transition Qualitymeasured80
    Phrase Accuracymeasured95
    EQ & Frequency Control (estimated)measured92
    Tempo Stability (estimated)measured98
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%93
    Narrative ArcAI95
    ProgressionAI92
    Tension & ReleaseAI89
    Section AwarenessAI93
    Flow ContinuityAI97
    PayoffAI90

    ENERGY

    Did you control the room?

    20%88
    Energy Curvemeasured86
    PacingAI95
    MomentumAI95
    Peak ManagementAI89
    Energy HandoffAI93
    Fatigue ControlAI57

    SURPRISE

    Did you remain unpredictable?

    15%86
    Unexpected MomentsAI87
    ContrastAI85
    Transition Varietymeasured95
    Selection RiskAI91
    FreshnessAI55
    Surprise ControlAI87

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI94
    Identity ConsistencyAI99
    IntentionalityAI97
    ConfidenceAI97
    RestraintAI92
    SignatureAI96

    Final score capped by measured execution (-) — weighted average was 90.

    Energy arc

    0:0087:00

    Transitions analysed (6)

    5:45

    Long textural blend with low-end swap

    Masterful handover of the sub-bass frequencies. The transition is almost imperceptible, maintaining the hypnotic state perfectly.

    95
    9:40

    Additive layering of percussive elements

    The DJ builds the wall of sound by slowly introducing high-frequency transients from the incoming track.

    92
    12:20

    Long EQ blend with low-end swap

    Perfectly executed handover, maintaining the sub-bass pressure.

    95
    16:45

    Transparent layering of percussive loops

    The tracks merge into a single entity, creating a rich, evolving groove.

    94
    23:45

    Perfect Blend

    100
    28:30

    Surgical EQ Swap

    100

    Technical subscores

    92

    EQ balance

    97

    Beat alignment

    92

    Energy control

    98

    Tempo stability

    93

    Loudness control

    95

    Musical coherence

    89

    Harmonic compatibility

    94

    Transition cleanliness

    Measured (DSP)

    16.1 ms

    Beat-grid drift (median)

    202 ms

    Drift p95

    5,292

    Boundaries detected

    54

    Hard cuts / h

    12

    Clipping events

    102

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (17:00, 37:00, 44:00, 70:00, 77:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 7:30Groove Lock
    • 14:30Groove Lock
    • 19:15Textural Shift

    Coaching notes

    • Continue to leverage long blends to maintain the hypnotic state.
    • Experiment with brief moments of silence or extreme filtering to reset the pressure.
    • Monitor the high-end transients to ensure they remain crisp but not piercing on large systems.
    • Experiment with more dramatic filter sweeps to create artificial tension peaks.
    • Use a short, silent gap before a major rhythmic shift for maximum impact.
    • Incorporate more varied mid-range textures to prevent sonic monotony.
    • Experiment with brief moments of total silence to reset the listener's ear.
    • Introduce a subtle melodic element to create a focal point within the dense percussion.
    • Continue refining the 'third track' layering technique as it is a major strength.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Speedy J's Speedy J @ Awakenings Festival 2020 | online weekender get?
    Speedy J @ Awakenings Festival 2020 | online weekender scores 89/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Speedy J @ Awakenings Festival 2020 | online weekender?
    The analysed recording runs 1h 28m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, while SURPRISE is the lowest at 86/100.
    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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