Solomun — Momentum Mix Oktober 2022

    Melodic Techno · 1h 41m · analysed 18 Aug 2026 · source: soundcloud.com

    Overall score
    74/100
    Level
    solid
    Duration
    1h 41m
    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, Solomun.

    In short

    Momentum Mix Oktober 2022 by Solomun scores 74/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (83/100) and the weakest is SURPRISE (70/100).

    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 (34:00, 46:30, 56:00, 62:00, 90:00, 94:15). Long loops kill dancefloor momentum.

    What to try next

    • Use more dramatic EQ cuts during transitions to create 'moments'.
    • Incorporate tracks with more distinct melodic hooks.
    • Experiment with varying the transition lengths to keep the listener engaged.

    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.

    • 4:12Measured (DSP)90/100Listen at 4:12

      Perfectly executed handover. The transition is almost invisible, maintaining the hypnotic state.

    • 7:58Measured (DSP)82/100Listen at 7:58

      Smooth transition focusing on the high-frequency energy. The outgoing track fades out naturally.

    • 11:22Measured (DSP)88/100Listen at 11:22

      Very smooth transition, the incoming kick replaces the outgoing one perfectly on the phrase.

    • 15:45Measured (DSP)84/100Listen at 15:45

      Clean transition focusing on the percussion layers. No clashing frequencies.

    • 20:12Measured (DSP)76/100Listen at 20:12

      Slightly abrupt energy shift, though the beatmatch remains solid.

    • 27:45Measured (DSP)82/100Listen at 27:45

      Intentional reset

    About this melodic techno set

    Momentum Mix Oktober 2022 is a melodic techno DJ set by Solomun, running 1h 41m. It was measured by the SOONOS multi-agent engine and scores 74/100 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 TECHNIQUE at 83/100; the weakest is SURPRISE at 70/100.

    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 34 points, moving between 40 and 86 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 672.5 grid breaks per hour, with a median beat offset of 13 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%83
    Beat Alignmentmeasured91
    Transition Qualitymeasured70
    Phrase Accuracymeasured86
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured90
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%79
    Narrative ArcAI81
    ProgressionAI78
    Tension & ReleaseAI74
    Section AwarenessAI80
    Flow ContinuityAI86
    PayoffAI78

    ENERGY

    Did you control the room?

    20%75
    Energy Curvemeasured72
    PacingAI77
    MomentumAI85
    Peak ManagementAI76
    Energy HandoffAI80
    Fatigue ControlAI47

    SURPRISE

    Did you remain unpredictable?

    15%70
    Unexpected MomentsAI70
    ContrastAI71
    Transition Varietymeasured86
    Selection RiskAI63
    FreshnessAI47
    Surprise ControlAI70

    IDENTITY

    Did the mix sound like you?

    15%81
    Selection QualityAI79
    Identity ConsistencyAI92
    IntentionalityAI80
    ConfidenceAI83
    RestraintAI75
    SignatureAI74

    Energy arc

    34:00101:00

    Transitions analysed (7)

    4:12

    Long EQ blend with low-end swap

    Perfectly executed handover. The transition is almost invisible, maintaining the hypnotic state.

    90
    7:58

    Percussive layering and high-pass filter exit

    Smooth transition focusing on the high-frequency energy. The outgoing track fades out naturally.

    82
    11:22

    Long EQ blend with low-end swap

    Very smooth transition, the incoming kick replaces the outgoing one perfectly on the phrase.

    88
    15:45

    Mid-range focused blend

    Clean transition focusing on the percussion layers. No clashing frequencies.

    84
    20:12

    Quick EQ swap

    Slightly abrupt energy shift, though the beatmatch remains solid.

    76
    23:45

    Perfect Blend

    100
    27:45

    Minor EQ Overlap

    intentional_reset

    82

    Technical subscores

    84

    EQ balance

    89

    Beat alignment

    81

    Energy control

    90

    Tempo stability

    83

    Loudness control

    81

    Musical coherence

    83

    Harmonic compatibility

    86

    Transition cleanliness

    Measured (DSP)

    13 ms

    Beat-grid drift (median)

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

    260 ms

    Drift p95

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

    6,061

    Boundaries detected

    Points where the audio changes track or section.

    75

    Hard cuts / h

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

    197

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    440

    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 (34:00, 46:30, 56:00, 62:00, 90:00, 94:15). Long loops kill dancefloor momentum.

    Timeline

    • 0:45Atmospheric Hook
    • 6:15Groove Saturation
    • 13:40Groove Lock
    • 20:15Energy Sag
    • 20:12Risky pressure or vibe dip

    Coaching notes

    • Use more dramatic EQ cuts during transitions to create 'moments'.
    • Incorporate tracks with more distinct melodic hooks.
    • Experiment with varying the transition lengths to keep the listener engaged.
    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 Solomun's Momentum Mix Oktober 2022 get?
    Momentum Mix Oktober 2022 scores 74/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Momentum Mix Oktober 2022?
    The analysed recording runs 1h 41m.
    Which part of the mix scores best?
    TECHNIQUE is the strongest category at 83/100, while SURPRISE is the lowest at 70/100.
    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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