Joel Mull — MindTrip Podcast 043 - Joel Mull

    Peak Techno · 2h 12m · analysed 23 Aug 2026 · source: soundcloud.com

    Overall score
    84/100
    Level
    club ready
    Duration
    2h 12m
    Genre
    Peak 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, Joel Mull.

    In short

    MindTrip Podcast 043 - Joel Mull by Joel Mull scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (93/100) and the weakest is SURPRISE (82/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:00, 20:00, 26:00, 32:00, 48:00, 57:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with brief atmospheric breakdowns to provide contrast to the relentless drive.
    • Introduce subtle melodic elements to add emotional depth to the industrial textures.
    • Maintain the current level of technical precision; it is the backbone of the set's success.

    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.

    • 4:15Measured (DSP)92/100Listen at 4:15

      Perfectly timed introduction of the beat following the spoken word segment.

    • 8:45Measured (DSP)88/100Listen at 8:45

      Smooth transition between two hypnotic loops, maintaining the groove perfectly.

    • 13:45Measured (DSP)94/100Listen at 13:45

      Perfectly executed transition where the incoming kick replaces the outgoing one without any phase issues.

    • 19:00Measured (DSP)92/100Listen at 19:00

      Incoming atmospheric elements are introduced subtly before the main groove shift.

    • 25:12Measured (DSP)95/100Listen at 25:12

      Incredibly smooth transition; the incoming track's percussion layers perfectly with the outgoing groove.

    About this peak techno set

    MindTrip Podcast 043 - Joel Mull is a peak techno DJ set by Joel Mull, running 2h 12m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club 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 93/100; the weakest is SURPRISE at 82/100.

    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 60 points, moving between 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1053.4 grid breaks per hour, with a median beat offset of 24 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%87
    Beat Alignmentmeasured77
    Transition Qualitymeasured83
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured90
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%89
    Narrative ArcAI92
    ProgressionAI89
    Tension & ReleaseAI85
    Section AwarenessAI90
    Flow ContinuityAI94
    PayoffAI82

    ENERGY

    Did you control the room?

    20%84
    Energy Curvemeasured80
    PacingAI91
    MomentumAI91
    Peak ManagementAI86
    Energy HandoffAI87
    Fatigue ControlAI58

    SURPRISE

    Did you remain unpredictable?

    15%82
    Unexpected MomentsAI81
    ContrastAI84
    Transition Varietymeasured93
    Selection RiskAI84
    FreshnessAI55
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI90
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI93
    RestraintAI92
    SignatureAI90

    Energy arc

    0:00130:00

    Transitions analysed (5)

    4:15

    Atmospheric fade into rhythmic entry

    Perfectly timed introduction of the beat following the spoken word segment.

    92
    8:45

    Long EQ blend

    Smooth transition between two hypnotic loops, maintaining the groove perfectly.

    88
    13:45

    Long EQ blend with low-end handover

    Perfectly executed transition where the incoming kick replaces the outgoing one without any phase issues.

    94
    19:00

    Textural layering and mid-range swap

    Incoming atmospheric elements are introduced subtly before the main groove shift.

    92
    25:12

    Long EQ blend with low-end swap on phrase

    Incredibly smooth transition; the incoming track's percussion layers perfectly with the outgoing groove.

    95

    Technical subscores

    90

    EQ balance

    95

    Beat alignment

    89

    Energy control

    95

    Tempo stability

    88

    Loudness control

    92

    Musical coherence

    88

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    24 ms

    Beat-grid drift (median)

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

    205 ms

    Drift p95

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

    7,892

    Boundaries detected

    Points where the audio changes track or section.

    19

    Hard cuts / h

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

    58

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    136

    Level jumps

    Sudden volume steps between tracks.

    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 (14:00, 20:00, 26:00, 32:00, 48:00, 57:00). Long loops kill dancefloor momentum.

    Timeline

    • 1:30Spoken Word Narrative
    • 4:15The First Kick
    • 15:30Groove Lock
    • 21:45Tension Peak
    • 27:30Groove Lock Peak

    Coaching notes

    • Experiment with brief atmospheric breakdowns to provide contrast to the relentless drive.
    • Introduce subtle melodic elements to add emotional depth to the industrial textures.
    • Maintain the current level of technical precision; it is the backbone of the set's success.
    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 Joel Mull's MindTrip Podcast 043 - Joel Mull get?
    MindTrip Podcast 043 - Joel Mull scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is MindTrip Podcast 043 - Joel Mull?
    The analysed recording runs 2h 12m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 82/100.
    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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