Clara Cuvé — Talk Tech To Me Set - 14.9.25 - Clara Cuve

    Hard Techno · 1h 44m · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    81/100
    Level
    club ready
    Duration
    1h 44m
    Genre
    Hard 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, Clara Cuvé.

    In short

    Talk Tech To Me Set - 14.9.25 - Clara Cuve by Clara Cuvé scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (86/100) and the weakest is SURPRISE (79/100).

    The DJ's ability to layer vocals over industrial textures creates a unique, engaging peak-time signature.

    Key takeaways

    What weakened the set

    • Recurring mid-frequency clash (3×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 3× (07:12, 17:42, 26:52).
    • Repeated volume jumps (3×) — Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 3× (07:12, 17:42, 26:52).
    • Slow recovery after transitions (3×) — Long perceptual recovery means the energy line dips on every blend. Detected 3× (07:12, 17:42, 26:52).
    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (29:00, 33:00, 37:30, 58:00, 62:00, 66:00). Long loops kill dancefloor momentum.

    What to try next

    • Introduce more subtle atmospheric layers during transitions to deepen the narrative.
    • Experiment with longer filter sweeps to build even more tension before major drops.
    • Ensure volume levels are perfectly matched during quick cuts to maintain a seamless energy flow.
    • Use high-pass filters more creatively during transitions to thin out the mix.

    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.

    • 01:48Measured (DSP)85/100Listen at 01:48

      Smooth transition into the first main track, maintaining energy and rhythmic focus.

    • 04:14Measured (DSP)88/100Listen at 04:14

      High-impact transition that perfectly aligns with the musical structure, boosting energy.

    • 07:12Measured (DSP)78/100Listen at 07:12

      Aggressive layering that creates a dense wall of sound; slightly cluttered but maintains drive.

    • 13:05Measured (DSP)88/100Listen at 13:05

      Sharp transition into a more percussive groove, perfectly aligned.

    • 17:42Measured (DSP)72/100Listen at 17:42

      Slightly busy mid-range as vocals overlap, but energy remains high.

    • 21:55Measured (DSP)92/100Listen at 21:55

      Excellent momentum management, switching the groove at the height of the build.

    • 23:28Measured (DSP)85/100Listen at 23:28

      Smooth transition, maintaining the percussive drive.

    • 26:52Measured (DSP)72/100Listen at 26:52

      Slightly abrupt change in the mid-range texture, though the beatmatch is perfect.

    About this hard techno set

    Talk Tech To Me Set - 14.9.25 - Clara Cuve is a hard techno DJ set by Clara Cuvé, running 1h 44m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.

    The engine files this performance as “Promising”.

    The DJ's ability to layer vocals over industrial textures creates a unique, engaging peak-time signature.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 86/100; the weakest is SURPRISE at 79/100.

    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 41 points, moving between 40 and 96 on the SOONOS energy scale — a wide dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 837.6 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 ability to layer vocals over industrial textures creates a unique, engaging peak-time signature.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%80
    Beat Alignmentmeasured81
    Transition Qualitymeasured58
    Phrase Accuracymeasured87
    EQ & Frequency Control (estimated)measured81
    Tempo Stability (estimated)measured91
    Technical Cleanlinessmeasured85

    STORYTELLING

    Did the mix go somewhere?

    25%86
    Narrative ArcAI87
    ProgressionAI84
    Tension & ReleaseAI84
    Section AwarenessAI84
    Flow ContinuityAI87
    PayoffAI89

    ENERGY

    Did you control the room?

    20%83
    Energy Curvemeasured80
    PacingAI82
    MomentumAI90
    Peak ManagementAI89
    Energy HandoffAI87
    Fatigue ControlAI61

    SURPRISE

    Did you remain unpredictable?

    15%79
    Unexpected MomentsAI79
    ContrastAI78
    Transition Varietymeasured88
    Selection RiskAI79
    FreshnessAI58
    Surprise ControlAI79

    IDENTITY

    Did the mix sound like you?

    15%86
    Selection QualityAI87
    Identity ConsistencyAI94
    IntentionalityAI86
    ConfidenceAI89
    RestraintAI73
    SignatureAI83

    Energy arc

    00:00104:00

    Transitions analysed (8)

    01:48

    EQ blend with low-end swap

    Smooth transition into the first main track, maintaining energy and rhythmic focus.

    85
    04:14

    Phrase-aligned drop swap

    High-impact transition that perfectly aligns with the musical structure, boosting energy.

    88
    07:12

    Fast layering with mid-frequency overlap

    Aggressive layering that creates a dense wall of sound; slightly cluttered but maintains drive.

    78
    13:05

    Fast EQ swap on phrase

    Sharp transition into a more percussive groove, perfectly aligned.

    88
    17:42

    Vocal layering blend

    Slightly busy mid-range as vocals overlap, but energy remains high.

    72
    21:55

    Drop swap

    Excellent momentum management, switching the groove at the height of the build.

    92
    23:28

    EQ blend with low-end swap

    Smooth transition, maintaining the percussive drive.

    85
    26:52

    Quick mid-frequency swap

    Slightly abrupt change in the mid-range texture, though the beatmatch is perfect.

    72

    Technical subscores

    81

    EQ balance

    89

    Beat alignment

    87

    Energy control

    91

    Tempo stability

    83

    Loudness control

    83

    Musical coherence

    79

    Harmonic compatibility

    82

    Transition cleanliness

    Measured (DSP)

    20 ms

    Beat-grid drift (median)

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

    202 ms

    Drift p95

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

    6,246

    Boundaries detected

    Points where the audio changes track or section.

    156

    Hard cuts / h

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

    89

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    416

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Recurring mid-frequency clash

      Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 3× (07:12, 17:42, 26:52).

    • Repeated volume jumps

      Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 3× (07:12, 17:42, 26:52).

    • Slow recovery after transitions

      Long perceptual recovery means the energy line dips on every blend. Detected 3× (07:12, 17:42, 26:52).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (29:00, 33:00, 37:30, 58:00, 62:00, 66:00). Long loops kill dancefloor momentum.

    Timeline

    • 04:14Peak Energy Drop
    • 07:12Mid-Frequency Clutter
    • 17:42Risky pressure or vibe dip
    • 26:52Mid-Range Texture Shift

    Coaching notes

    • Introduce more subtle atmospheric layers during transitions to deepen the narrative.
    • Experiment with longer filter sweeps to build even more tension before major drops.
    • Ensure volume levels are perfectly matched during quick cuts to maintain a seamless energy flow.
    • Use high-pass filters more creatively during transitions to thin out the mix.
    • Experiment with longer, atmospheric breakdowns to build more anticipation.
    • Monitor mid-range EQ overlaps more closely during vocal blends.
    • Experiment with brief moments of silence or atmospheric breaks to contrast the high energy.
    • Incorporate more complex layering of percussive stems to add depth to the driving tools.
    • Monitor the mid-range EQ during vocal transitions to ensure a perfectly smooth frequency balance.
    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 Clara Cuvé's Talk Tech To Me Set - 14.9.25 - Clara Cuve get?
    Talk Tech To Me Set - 14.9.25 - Clara Cuve scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is Talk Tech To Me Set - 14.9.25 - Clara Cuve?
    The analysed recording runs 1h 44m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 86/100, while SURPRISE is the lowest at 79/100.
    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.

    More Clara Cuvé sets analysed

    Similar hard techno sets

    Live Club Simulation

    Test how a set like this one would land in a club, a beach club or a festival.

    Analyze my mix

    Get the same breakdown on your own set: transitions, energy arc and measured execution.

    Guides: How SOONOS works · DJ guides and research

    All Clara Cuvé analyses

    Bring your music in.

    Sign in to upload your mix.

    Your analysis is saved in your SOONOS account.