Sara LandrySara Landry @ Respira Festival 2026 (Santiago, Chile)

    Hard Techno · 2h 14m · analysed 20 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    2h 14m
    Genre
    Hard Techno

    About this hard techno set

    Sara Landry @ Respira Festival 2026 (Santiago, Chile) is a hard techno DJ set by Sara Landry, running 2h 14m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This DJ understands that in hard techno, the kick is the narrative, and the vocal is the hook.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is SURPRISE at 83/100.

    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 59 points, moving between 75 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 770.0 grid breaks per hour, with a median beat offset of 10 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in hard techno, the kick is the narrative, and the vocal is the hook.

    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%84
    Beat Alignmentmeasured93
    Transition Qualitymeasured60
    Phrase Accuracymeasured93
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured72

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI91
    ProgressionAI89
    Tension & ReleaseAI86
    Section AwarenessAI89
    Flow ContinuityAI93
    PayoffAI95

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured85
    PacingAI88
    MomentumAI95
    Peak ManagementAI91
    Energy HandoffAI93
    Fatigue ControlAI56

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI82
    ContrastAI80
    Transition Varietymeasured94
    Selection RiskAI89
    FreshnessAI57
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI93
    Identity ConsistencyAI99
    IntentionalityAI95
    ConfidenceAI97
    RestraintAI77
    SignatureAI94

    Final score capped by measured execution (-) — weighted average was 87.

    Energy arc

    0:00133:00

    Transitions analysed (6)

    4:22

    Long EQ blend with low-end swap on phrase

    Masterful handover of the industrial kick; the energy actually increases during the blend.

    95
    8:45

    High-pass filter transition with percussive layering

    Smooth transition into a more rhythmic, tribal-leaning techno track.

    88
    12:48

    Fast EQ swap on the 1

    Aggressive but precise handover of the industrial kick pattern.

    90
    17:15

    Long percussive blend

    Layering of two high-BPM loops to increase tension before a drop.

    85
    24:15

    Perfect EQ Swap

    100
    28:00

    Minor Level Jump

    strategic_disruption

    82

    Technical subscores

    86

    EQ balance

    93

    Beat alignment

    92

    Energy control

    96

    Tempo stability

    88

    Loudness control

    88

    Musical coherence

    82

    Harmonic compatibility

    88

    Transition cleanliness

    Measured (DSP)

    10.1 ms

    Beat-grid drift (median)

    180.9 ms

    Drift p95

    8,014

    Boundaries detected

    213

    Hard cuts / h

    53

    Clipping events

    789

    Level jumps

    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 2× (8:45, 17:15).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 19:00, 45:00, 49:00, 64:00, 68:32). Long loops kill dancefloor momentum.

    Timeline

    • 3:45Vocal Hook Entry
    • 6:30Atmospheric Breakdown
    • 15:30Hypnotic Peak
    • 21:10Energy Surge

    Coaching notes

    • Experiment with more complex polyrhythmic layering to further distinguish the sound.
    • Use subtle melodic pads during breakdowns to enhance the emotional payoff of the drops.
    • Consider brief tempo variations to add a human touch to the digital precision.
    • Introduce more rhythmic variation to prevent the 4/4 kick from becoming monotonous.
    • Use short, atmospheric breakdowns to reset the crowd's ears and increase the impact of the drops.
    • Experiment with layering non-techno elements (e.g., industrial noise, field recordings) to further define the signature sound.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Sara Landry's Sara Landry @ Respira Festival 2026 (Santiago, Chile) get?
    Sara Landry @ Respira Festival 2026 (Santiago, Chile) scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Sara Landry @ Respira Festival 2026 (Santiago, Chile)?
    The analysed recording runs 2h 14m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while SURPRISE is the lowest at 83/100.
    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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