Cari LekebuschLehmann Podcast #113 - Cari Lekebusch

    Peak Techno · 2h 10m · analysed 22 Aug 2026

    Overall score
    87/100
    Level
    festival ready
    Duration
    2h 10m
    Genre
    Peak Techno

    About this peak techno set

    Lehmann Podcast #113 - Cari Lekebusch is a peak techno DJ set by Cari Lekebusch, running 2h 10m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.

    The engine files this performance as “Promising”.

    Cari Lekebusch's ability to blend tracks into a singular, evolving rhythmic entity is a testament to his veteran status.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is SURPRISE at 85/100.

    The final score is capped by measured -: 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 60 points, moving between 40 and 94 on the SOONOS energy scale — a wide dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 88.3 grid breaks per hour, with a median beat offset of 26 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    Cari Lekebusch's ability to blend tracks into a singular, evolving rhythmic entity is a testament to his veteran status.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%87
    Beat Alignmentmeasured72
    Transition Qualitymeasured86
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured91
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI93
    ProgressionAI91
    Tension & ReleaseAI86
    Section AwarenessAI91
    Flow ContinuityAI95
    PayoffAI87

    ENERGY

    Did you control the room?

    20%88
    Energy Curvemeasured80
    PacingAI93
    MomentumAI95
    Peak ManagementAI87
    Energy HandoffAI91
    Fatigue ControlAI78

    SURPRISE

    Did you remain unpredictable?

    15%85
    Unexpected MomentsAI83
    ContrastAI81
    Transition Varietymeasured94
    Selection RiskAI89
    FreshnessAI73
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%95
    Selection QualityAI92
    Identity ConsistencyAI98
    IntentionalityAI96
    ConfidenceAI96
    RestraintAI91
    SignatureAI95

    Final score capped by measured execution (-) — weighted average was 89.

    Energy arc

    0:00128:00

    Transitions analysed (7)

    5:45

    Long EQ blend with low-end swap

    A textbook example of a transparent transition. The incoming track's percussion is introduced so subtly that the groove feels like a single evolving entity.

    95
    10:12

    Mid-range handover on phrase

    Smooth transition focusing on the mid-frequency textures. The DJ maintains the energy level perfectly while shifting the sonic palette.

    92
    13:45

    Perfect Blend

    100
    19:00

    Seamless Layering

    100
    23:00

    Minor EQ Overlap

    intentional_reset

    82
    25:12

    Long percussive blend with gradual low-end swap

    Perfectly executed handover; the new kick pattern emerges without any phase issues.

    92
    29:45

    Triple-track layering with high-pass filter sweep

    A masterclass in density; three elements coexist perfectly before a clean high-pass release.

    95

    Technical subscores

    91

    EQ balance

    96

    Beat alignment

    91

    Energy control

    96

    Tempo stability

    91

    Loudness control

    94

    Musical coherence

    87

    Harmonic compatibility

    93

    Transition cleanliness

    Measured (DSP)

    26 ms

    Beat-grid drift (median)

    30.9 ms

    Drift p95

    7,751

    Boundaries detected

    55

    Hard cuts / h

    136

    Clipping events

    215

    Level jumps

    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 (2:00, 26:00, 31:00, 43:00, 47:00, 51:00). Long loops kill dancefloor momentum.

    Timeline

    • 2:30Groove Lock Established
    • 8:45Energy Plateau
    • 28:30Groove Lock Peak

    Coaching notes

    • Introduce more frequent micro-breakdowns to provide rhythmic relief.
    • Experiment with subtle melodic elements to add emotional depth.
    • Use wider stereo imaging for FX to enhance the immersive atmosphere.
    • Maintain the long-blend technique as it is your strongest technical asset.
    • Experiment with subtle melodic stabs to add a layer of emotional depth.
    • Ensure the sub-bass frequencies are strictly managed during the densest layering moments.
    • Maintain this level of rhythmic patience; it is a rare and valuable skill.
    • Consider introducing a very brief 'reset' moment (silence or pure atmosphere) earlier in the set to make the final drive hit even harder.
    • The use of signature vocal outros is highly effective for podcast branding; keep this as a staple.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Cari Lekebusch's Lehmann Podcast #113 - Cari Lekebusch get?
    Lehmann Podcast #113 - Cari Lekebusch scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Lehmann Podcast #113 - Cari Lekebusch?
    The analysed recording runs 2h 10m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 95/100, while SURPRISE is the lowest at 85/100.
    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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