SOONOS

    Pole FolderDesert In Me - Streaming Home Session

    Melodic Techno · 2h 08m · analysed 25 Aug 2026 · source: soundcloud.com

    Overall score
    70/100
    Level
    solid
    Duration
    2h 08m
    Genre
    Melodic 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, Pole Folder.

    In short

    Desert In Me - Streaming Home Session by Pole Folder scores 70/100 in the SOONOS analysis (solid). The strongest dimension is IDENTITY (85/100) and the weakest is SURPRISE (74/100).

    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 (4:00, 10:00, 14:00, 20:00, 30:00, 35:00). Long loops kill dancefloor momentum.

    What to try next

    • Introduce more mid-range melodic elements to break up long percussive stretches.
    • Use short, sharp breakdowns to create more dynamic tension and release.
    • Experiment with more adventurous EQ cuts to create unique rhythmic textures during blends.
    • Experiment with subtle field recordings to further enhance the atmospheric depth.

    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.

    • 3:52Measured (DSP)90/100Listen at 3:52

      Perfectly executed handover; the transition is almost imperceptible.

    • 8:15Measured (DSP)82/100Listen at 8:15

      Smooth transition focusing on melodic elements.

    • 13:15Measured (DSP)92/100Listen at 13:15

      Masterful control of the sub-frequencies; the transition is felt rather than heard.

    • 18:40Measured (DSP)85/100Listen at 18:40

      Smooth introduction of new rhythmic elements that align perfectly with the existing phrase.

    • 24:45Measured (DSP)88/100Listen at 24:45

      Excellent management of the sub-frequencies; the transition is almost imperceptible.

    • 29:12Measured (DSP)82/100Listen at 29:12

      Smooth introduction of new rhythmic elements that enhance the existing groove.

    About this melodic techno set

    Desert In Me - Streaming Home Session is a melodic techno DJ set by Pole Folder, running 2h 08m. It was measured by the SOONOS multi-agent engine and scores 70/100 overall — solid.

    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 85/100; the weakest is SURPRISE at 74/100.

    The final score is capped by measured beatmatching: 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 69 points, moving between 10 and 88 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 669.1 grid breaks per hour, with a median beat offset of 29 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.

    On this set, the ceiling applied is measured beatmatching.

    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%82
    Beat Alignmentmeasured64
    Transition Qualitymeasured82
    Phrase Accuracymeasured88
    EQ & Frequency Control (estimated)measured85
    Tempo Stability (estimated)measured92
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%81
    Narrative ArcAI85
    ProgressionAI81
    Tension & ReleaseAI75
    Section AwarenessAI82
    Flow ContinuityAI88
    PayoffAI75

    ENERGY

    Did you control the room?

    20%78
    Energy Curvemeasured76
    PacingAI82
    MomentumAI85
    Peak ManagementAI77
    Energy HandoffAI80
    Fatigue ControlAI60

    SURPRISE

    Did you remain unpredictable?

    15%74
    Unexpected MomentsAI72
    ContrastAI75
    Transition Varietymeasured87
    Selection RiskAI74
    FreshnessAI56
    Surprise ControlAI72

    IDENTITY

    Did the mix sound like you?

    15%85
    Selection QualityAI82
    Identity ConsistencyAI93
    IntentionalityAI84
    ConfidenceAI84
    RestraintAI84
    SignatureAI77

    Final score capped by measured beatmatching — the weighted average before the cap was 80.

    Energy arc

    0:00128:00

    Transitions analysed (6)

    3:52

    Long EQ blend with low-end swap

    Perfectly executed handover; the transition is almost imperceptible.

    90
    8:15

    Mid-range frequency blend

    Smooth transition focusing on melodic elements.

    82
    13:15

    Long EQ blend with low-end swap

    Masterful control of the sub-frequencies; the transition is felt rather than heard.

    92
    18:40

    Percussive layering

    Smooth introduction of new rhythmic elements that align perfectly with the existing phrase.

    85
    24:45

    Long EQ blend with low-end swap

    Excellent management of the sub-frequencies; the transition is almost imperceptible.

    88
    29:12

    Progressive layering of high-hats and mids

    Smooth introduction of new rhythmic elements that enhance the existing groove.

    82

    Technical subscores

    85

    EQ balance

    91

    Beat alignment

    81

    Energy control

    92

    Tempo stability

    83

    Loudness control

    86

    Musical coherence

    87

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    29 ms

    Beat-grid drift (median)

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

    219 ms

    Drift p95

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

    7,668

    Boundaries detected

    Points where the audio changes track or section.

    41

    Hard cuts / h

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

    72

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    374

    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 (4:00, 10:00, 14:00, 20:00, 30:00, 35:00). Long loops kill dancefloor momentum.

    Timeline

    • 0:05Atmospheric Hook
    • 10:45Vocal Entry
    • 15:20Groove Lock
    • 20:15Energy Plateau
    • 27:15Groove Lock

    Coaching notes

    • Introduce more mid-range melodic elements to break up long percussive stretches.
    • Use short, sharp breakdowns to create more dynamic tension and release.
    • Experiment with more adventurous EQ cuts to create unique rhythmic textures during blends.
    • Experiment with subtle field recordings to further enhance the atmospheric depth.
    • Maintain this level of technical transparency in all future recordings.
    • Consider a slightly more dramatic 'final peak' before the ultimate fade-out.
    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 Pole Folder's Desert In Me - Streaming Home Session get?
    Desert In Me - Streaming Home Session scores 70/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Desert In Me - Streaming Home Session?
    The analysed recording runs 2h 08m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 85/100, while SURPRISE is the lowest at 74/100.
    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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