Speedy J — CLR podcast 217 Speedy J

    Experimental Techno · 1h 11m · analysed 19 Aug 2026 · source: soundcloud.com

    Overall score
    88/100
    Level
    festival ready
    Duration
    1h 11m
    Genre
    Experimental 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, Speedy J.

    In short

    CLR podcast 217 Speedy J by Speedy J scores 88/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (96/100) and the weakest is SURPRISE (84/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (3×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (29:00, 35:00, 56:00). 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.

    • 03:05Measured (DSP)95/100Listen at 03:05

      Perfectly matched textures; the new loop emerges naturally from the existing rhythm.

    • 07:00Measured (DSP)92/100Listen at 07:00

      Smooth transition of the low-end frequencies.

    • 23:00Measured (DSP)82/100Listen at 23:00

      Strategic disruption

    • 25:30Measured (DSP)95/100Listen at 25:30

      Perfectly executed handover; the transition is felt rather than heard.

    About this experimental techno set

    CLR podcast 217 Speedy J is a experimental techno DJ set by Speedy J, running 1h 11m. It was measured by the SOONOS multi-agent engine and scores 88/100 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 96/100; the weakest is SURPRISE at 84/100.

    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 75 and 92 on the SOONOS energy scale — a narrow dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 79.4 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

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%91
    Beat Alignmentmeasured86
    Transition Qualitymeasured90
    Phrase Accuracymeasured96
    EQ & Frequency Control (estimated)measured93
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%93
    Narrative ArcAI95
    ProgressionAI92
    Tension & ReleaseAI90
    Section AwarenessAI93
    Flow ContinuityAI96
    PayoffAI88

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured81
    PacingAI94
    MomentumAI95
    Peak ManagementAI90
    Energy HandoffAI92
    Fatigue ControlAI37

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI87
    ContrastAI85
    Transition Varietymeasured96
    Selection RiskAI91
    FreshnessAI38
    Surprise ControlAI87

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI95
    Identity ConsistencyAI99
    IntentionalityAI97
    ConfidenceAI97
    RestraintAI94
    SignatureAI96

    Energy arc

    24:0059:00

    Transitions analysed (6)

    03:05

    Long percussive blend

    Perfectly matched textures; the new loop emerges naturally from the existing rhythm.

    95
    07:00

    EQ-based handover

    Smooth transition of the low-end frequencies.

    92
    14:20

    Perfect Blend

    100
    18:40

    Organic Evolution

    100
    23:00

    Minor EQ Overlap

    strategic_disruption

    82
    25:30

    Long EQ blend, low-end swap on phrase

    Perfectly executed handover; the transition is felt rather than heard.

    95

    Technical subscores

    93

    EQ balance

    97

    Beat alignment

    93

    Energy control

    96

    Tempo stability

    92

    Loudness control

    95

    Musical coherence

    90

    Harmonic compatibility

    94

    Transition cleanliness

    Measured (DSP)

    16 ms

    Beat-grid drift (median)

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

    19 ms

    Drift p95

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

    4,220

    Boundaries detected

    Points where the audio changes track or section.

    21

    Hard cuts / h

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

    4

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    49

    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 (29:00, 35:00, 56:00). Long loops kill dancefloor momentum.

    Timeline

    • 05:20Groove Lock Achieved
    • 10:45Filter Tension
    • 28:45Groove Lock Peak
    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 Speedy J's CLR podcast 217 Speedy J get?
    CLR podcast 217 Speedy J scores 88/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is CLR podcast 217 Speedy J?
    The analysed recording runs 1h 11m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, while SURPRISE is the lowest at 84/100.
    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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