Mathew Jonson — Botanic Podcast - 032 - Mathew Jonson Live

    Indie House · 1h 34m · analysed 24 Aug 2026 · source: soundcloud.com

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 34m
    Genre
    Indie 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, Mathew Jonson.

    In short

    Botanic Podcast - 032 - Mathew Jonson Live by Mathew Jonson scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (96/100) and the weakest is TECHNIQUE (81/100).

    Mathew Jonson's live sets are a masterclass in how to use modular synthesis to create a living, breathing dancefloor narrative.

    Key takeaways

    What worked

    • Exceptional rhythmic patience
    • Flawless technical execution
    • Strong artistic identity

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 4:30, 10:00, 12:00, 16:00, 22:00). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with more organic, non-synthetic sounds to create contrast.
    • Use longer filter sweeps to build even more extreme tension.
    • Incorporate a brief melodic motif to provide a memorable hook for the audience.

    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.

    • 4:05Measured (DSP)95/100Listen at 4:05

      Seamless introduction of new percussive elements.

    • 8:32Measured (DSP)92/100Listen at 8:32

      Smooth transition of synth textures via low-pass filtering.

    • 15:45Measured (DSP)95/100Listen at 15:45

      Seamless introduction of a new rhythmic sequence via high-pass filter fade-in.

    • 26:42Measured (DSP)95/100Listen at 26:42

      The acid line emerges organically from the percussion, feeling like a natural extension of the track.

    About this indie house set

    Botanic Podcast - 032 - Mathew Jonson Live is a indie house DJ set by Mathew Jonson, running 1h 34m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    Mathew Jonson's live sets are a masterclass in how to use modular synthesis to create a living, breathing dancefloor narrative.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is TECHNIQUE at 81/100.

    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 38 points, moving between 40 and 92 on the SOONOS energy scale — a wide dynamic range across the set.

    4 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 572.4 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

    Mathew Jonson's live sets are a masterclass in how to use modular synthesis to create a living, breathing dancefloor narrative.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%81
    Beat Alignmentmeasured77
    Transition Qualitymeasured59
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured92
    Tempo Stability (estimated)measured97
    Technical Cleanlinessmeasured68

    STORYTELLING

    Did the mix go somewhere?

    25%92
    Narrative ArcAI95
    ProgressionAI91
    Tension & ReleaseAI89
    Section AwarenessAI93
    Flow ContinuityAI96
    PayoffAI85

    ENERGY

    Did you control the room?

    20%89
    Energy Curvemeasured85
    PacingAI95
    MomentumAI93
    Peak ManagementAI88
    Energy HandoffAI90
    Fatigue ControlAI77

    SURPRISE

    Did you remain unpredictable?

    15%88
    Unexpected MomentsAI86
    ContrastAI87
    Transition Varietymeasured95
    Selection RiskAI91
    FreshnessAI73
    Surprise ControlAI86

    IDENTITY

    Did the mix sound like you?

    15%96
    Selection QualityAI94
    Identity ConsistencyAI98
    IntentionalityAI98
    ConfidenceAI96
    RestraintAI94
    SignatureAI97

    Energy arc

    0:0094:00

    Transitions analysed (4)

    4:05

    Live stem introduction

    Seamless introduction of new percussive elements.

    95
    8:32

    Filter-based blend

    Smooth transition of synth textures via low-pass filtering.

    92
    15:45

    Live stem layering and filter sweep

    Seamless introduction of a new rhythmic sequence via high-pass filter fade-in.

    95
    26:42

    Live stem layering / Filter fade-in

    The acid line emerges organically from the percussion, feeling like a natural extension of the track.

    95

    Technical subscores

    92

    EQ balance

    98

    Beat alignment

    92

    Energy control

    97

    Tempo stability

    90

    Loudness control

    95

    Musical coherence

    94

    Harmonic compatibility

    95

    Transition cleanliness

    Measured (DSP)

    24 ms

    Beat-grid drift (median)

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

    198 ms

    Drift p95

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

    5,630

    Boundaries detected

    Points where the audio changes track or section.

    164

    Hard cuts / h

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

    23

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    382

    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 (0:00, 4:30, 10:00, 12:00, 16:00, 22:00). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional rhythmic patience
    • Flawless technical execution
    • Strong artistic identity

    Timeline

    • 4:30Rhythmic Shift
    • 10:15Tension Peak
    • 18:20Resonant Peak
    • 21:45Groove Shift

    Coaching notes

    • Experiment with more organic, non-synthetic sounds to create contrast.
    • Use longer filter sweeps to build even more extreme tension.
    • Incorporate a brief melodic motif to provide a memorable hook for the audience.
    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 Mathew Jonson's Botanic Podcast - 032 - Mathew Jonson Live get?
    Botanic Podcast - 032 - Mathew Jonson Live scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Botanic Podcast - 032 - Mathew Jonson Live?
    The analysed recording runs 1h 34m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 96/100, while TECHNIQUE is the lowest at 81/100.
    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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