Jamie Jones — Hot Robot Radio 233

    Tech House · 58 min · analysed 19 Aug 2026 · source: soundcloud.com

    Overall score
    78/100
    Level
    club ready
    Duration
    58 min
    Genre
    Tech House

    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, Jamie Jones.

    In short

    Hot Robot Radio 233 by Jamie Jones scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (86/100) and the weakest is SURPRISE (73/100).

    The DJ's ability to maintain a hypnotic groove while executing flawless transitions is a hallmark of professional maturity.

    Key takeaways

    What weakened the set

    • Long static loops (4×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (2:00, 30:00, 50:00, 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.

    • 14:15Measured (DSP)92/100Listen at 14:15

      Perfectly timed transition, the incoming track's hats complement the outgoing groove seamlessly.

    • 18:30Measured (DSP)85/100Listen at 18:30

      Smooth transition using high-pass filtering to clear space for the new kick drum.

    • 22:10Measured (DSP)88/100Listen at 22:10

      Excellent harmonic matching, the two tracks create a brief 'third track' feel during the blend.

    • 23:20Measured (DSP)92/100Listen at 23:20

      Seamless integration of the incoming track's percussion over the outgoing bassline.

    • 28:05Measured (DSP)85/100Listen at 28:05

      Used the breakdown of the outgoing track to introduce the melodic elements of the next.

    About this tech house set

    Hot Robot Radio 233 is a tech house DJ set by Jamie Jones, running 58 min. It was measured by the SOONOS multi-agent engine and scores 78/100 overall — club ready.

    The engine files this performance as “Promising”.

    The DJ's ability to maintain a hypnotic groove while executing flawless transitions is a hallmark of professional maturity.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 86/100; the weakest is SURPRISE at 73/100.

    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 27 points, moving between 40 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 185.0 grid breaks per hour, with a median beat offset of 28 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 DJ's ability to maintain a hypnotic groove while executing flawless transitions is a hallmark of professional maturity.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%82
    Beat Alignmentmeasured67
    Transition Qualitymeasured73
    Phrase Accuracymeasured90
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%82
    Narrative ArcAI85
    ProgressionAI80
    Tension & ReleaseAI76
    Section AwarenessAI85
    Flow ContinuityAI89
    PayoffAI80

    ENERGY

    Did you control the room?

    20%76
    Energy Curvemeasured72
    PacingAI82
    MomentumAI89
    Peak ManagementAI77
    Energy HandoffAI82
    Fatigue ControlAI44

    SURPRISE

    Did you remain unpredictable?

    15%73
    Unexpected MomentsAI74
    ContrastAI73
    Transition Varietymeasured87
    Selection RiskAI70
    FreshnessAI46
    Surprise ControlAI74

    IDENTITY

    Did the mix sound like you?

    15%86
    Selection QualityAI83
    Identity ConsistencyAI93
    IntentionalityAI85
    ConfidenceAI88
    RestraintAI81
    SignatureAI79

    Energy arc

    0:0058:00

    Transitions analysed (8)

    0:45

    Perfect Blend

    100
    6:12

    Seamless EQ Swap

    100
    10:45

    Minor Level Wobble

    82
    14:15

    32-bar EQ blend with low-end swap

    Perfectly timed transition, the incoming track's hats complement the outgoing groove seamlessly.

    92
    18:30

    Filter-assisted blend

    Smooth transition using high-pass filtering to clear space for the new kick drum.

    85
    22:10

    Long melodic overlap

    Excellent harmonic matching, the two tracks create a brief 'third track' feel during the blend.

    88
    23:20

    Long EQ blend

    Seamless integration of the incoming track's percussion over the outgoing bassline.

    92
    28:05

    Breakdown transition

    Used the breakdown of the outgoing track to introduce the melodic elements of the next.

    85

    Technical subscores

    88

    EQ balance

    93

    Beat alignment

    84

    Energy control

    94

    Tempo stability

    88

    Loudness control

    86

    Musical coherence

    86

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    28 ms

    Beat-grid drift (median)

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

    73 ms

    Drift p95

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

    3,464

    Boundaries detected

    Points where the audio changes track or section.

    108

    Hard cuts / h

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

    6

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    161

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (4×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (2:00, 30:00, 50:00, 56:00). Long loops kill dancefloor momentum.

    Timeline

    • 16:45Groove Lock Peak
    • 20:15Energy Plateau
    • 26:15Percussive Peak
    • 28:05Risky pressure or vibe dip
    Listen on SoundCloud

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    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 Jamie Jones's Hot Robot Radio 233 get?
    Hot Robot Radio 233 scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Hot Robot Radio 233?
    The analysed recording runs 58 min.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 86/100, while SURPRISE is the lowest at 73/100.
    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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