Objekt — Sinamin Prime Time x Lokales Maximum // objekt klein a

    Experimental Techno · 2h 30m · analysed 21 Aug 2026 · source: soundcloud.com

    Overall score
    77/100
    Level
    solid
    Duration
    2h 30m
    Genre
    Experimental 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, Objekt.

    In short

    Sinamin Prime Time x Lokales Maximum // objekt klein a by Objekt scores 77/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (84/100) and the weakest is SURPRISE (73/100).

    The DJ's strength lies in their ability to maintain a seamless groove, creating a state of physical hypnosis that is essential for peak-time techno.

    Key takeaways

    What worked

    • Technical precision in EQ and phrase matching.
    • Consistent and driving energy levels.
    • Excellent selection for a peak-time club context.
    • Technical precision in transitions

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (8:00, 26:00, 35:00, 46:00, 64:00, 70:30). Long loops kill dancefloor momentum.

    What to try next

    • Introduce more varied textural elements to enhance the emotional depth.
    • Experiment with slightly more adventurous transitions to increase the surprise factor.
    • Use dramatic filter sweeps to emphasize key build-up moments.
    • Ensure gain levels are perfectly matched during long overlaps.

    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.

    • 3:58Measured (DSP)92/100Listen at 3:58

      Perfectly executed transition, maintaining the percussive energy without any phase issues.

    • 7:45Measured (DSP)85/100Listen at 7:45

      Smooth introduction of new elements, though a slight level jump was audible.

    • 13:20Measured (DSP)88/100Listen at 13:20

      Smooth transition with excellent frequency management.

    • 17:45Measured (DSP)82/100Listen at 17:45

      Precise transition that maintains the energy flow.

    • 24:12Measured (DSP)90/100Listen at 24:12

      Excellent transparency; the transition is felt rather than heard.

    About this experimental techno set

    Sinamin Prime Time x Lokales Maximum // objekt klein a is a experimental techno DJ set by Objekt, running 2h 30m. It was measured by the SOONOS multi-agent engine and scores 77/100 overall — solid.

    The engine files this performance as “Promising”.

    The DJ's strength lies in their ability to maintain a seamless groove, creating a state of physical hypnosis that is essential for peak-time techno.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 84/100; 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 75 points, moving between 60 and 92 on the SOONOS energy scale — a moderate dynamic range across the set.

    5 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 398.9 grid breaks per hour, with a median beat offset of 20 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 strength lies in their ability to maintain a seamless groove, creating a state of physical hypnosis that is essential for peak-time techno.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%84
    Beat Alignmentmeasured82
    Transition Qualitymeasured82
    Phrase Accuracymeasured86
    EQ & Frequency Control (estimated)measured84
    Tempo Stability (estimated)measured90
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%82
    Narrative ArcAI84
    ProgressionAI81
    Tension & ReleaseAI77
    Section AwarenessAI81
    Flow ContinuityAI87
    PayoffAI81

    ENERGY

    Did you control the room?

    20%78
    Energy Curvemeasured73
    PacingAI79
    MomentumAI88
    Peak ManagementAI79
    Energy HandoffAI82
    Fatigue ControlAI59

    SURPRISE

    Did you remain unpredictable?

    15%73
    Unexpected MomentsAI72
    ContrastAI72
    Transition Varietymeasured85
    Selection RiskAI71
    FreshnessAI57
    Surprise ControlAI72

    IDENTITY

    Did the mix sound like you?

    15%82
    Selection QualityAI79
    Identity ConsistencyAI92
    IntentionalityAI82
    ConfidenceAI85
    RestraintAI74
    SignatureAI74

    Energy arc

    0:00148:00

    Transitions analysed (5)

    3:58

    Long EQ blend with low-end swap

    Perfectly executed transition, maintaining the percussive energy without any phase issues.

    92
    7:45

    Mid-frequency layering

    Smooth introduction of new elements, though a slight level jump was audible.

    85
    13:20

    Long EQ blend

    Smooth transition with excellent frequency management.

    88
    17:45

    Phrase-aligned cut

    Precise transition that maintains the energy flow.

    82
    24:12

    Long percussive blend with low-end swap

    Excellent transparency; the transition is felt rather than heard.

    90

    Technical subscores

    84

    EQ balance

    89

    Beat alignment

    83

    Energy control

    90

    Tempo stability

    83

    Loudness control

    84

    Musical coherence

    81

    Harmonic compatibility

    85

    Transition cleanliness

    Measured (DSP)

    20 ms

    Beat-grid drift (median)

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

    224 ms

    Drift p95

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

    8,980

    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.

    144

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    321

    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 (8:00, 26:00, 35:00, 46:00, 64:00, 70:30). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical precision in EQ and phrase matching.
    • Consistent and driving energy levels.
    • Excellent selection for a peak-time club context.
    • Technical precision in transitions
    • Consistent dark atmosphere
    • Strong energy management

    Timeline

    • 4:15Peak Groove Lock
    • 9:20Energy Plateau
    • 15:30Groove Lock
    • 19:15Energy Peak
    • 27:30Groove Lock Peak

    Coaching notes

    • Introduce more varied textural elements to enhance the emotional depth.
    • Experiment with slightly more adventurous transitions to increase the surprise factor.
    • Use dramatic filter sweeps to emphasize key build-up moments.
    • Ensure gain levels are perfectly matched during long overlaps.
    • Experiment with longer, more atmospheric breakdowns to build greater tension.
    • Incorporate more unexpected rhythmic elements to keep the audience on their toes.
    • Use filter modulation more dynamically to add movement to static loops.
    • Explore layering melodic elements to add emotional depth to the driving groove.
    • Refine mid-range EQ management during long synth-heavy blends.
    • Introduce more melodic contrast to enhance the emotional depth of the set.
    • Experiment with varying the speed of filter sweeps to create more unpredictable tension.
    • Introduce more dynamic resets to prevent energy plateaus.
    • Experiment with melodic elements to add emotional depth.
    • Use creative FX during transitions to enhance the narrative.
    • Vary the percussive density to create more rhythmic interest.
    • Experiment with more dramatic tension and release cycles.
    • Incorporate subtle melodic elements to add emotional depth.
    • Focus on developing a more distinct signature sound through unique track selection.
    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 Objekt's Sinamin Prime Time x Lokales Maximum // objekt klein a get?
    Sinamin Prime Time x Lokales Maximum // objekt klein a scores 77/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
    How long is Sinamin Prime Time x Lokales Maximum // objekt klein a?
    The analysed recording runs 2h 30m.
    Which part of the mix scores best?
    TECHNIQUE is the strongest category at 84/100, 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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