Sara LandrySara Landry - Live @ Ultra Miami 2026

    Hard Techno · 2h 01m · Ultra Music Festival · analysed 20 Aug 2026

    Overall score
    85/100
    Level
    festival ready
    Duration
    2h 01m
    Genre
    Hard Techno

    About this hard techno set

    Sara Landry - Live @ Ultra Miami 2026 is a hard techno DJ set by Sara Landry, running 2h 01m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This set demonstrates how technical aggression can be harnessed into a coherent, hypnotic narrative for large-scale environments.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; the weakest is SURPRISE at 81/100.

    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 39 points, moving between 85 and 98 on the SOONOS energy scale — a narrow dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 1096.7 grid breaks per hour, with a median beat offset of 18 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This set demonstrates how technical aggression can be harnessed into a coherent, hypnotic narrative for large-scale environments.

    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 Alignmentmeasured84
    Transition Qualitymeasured77
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured86
    Tempo Stability (estimated)measured96
    Technical Cleanlinessmeasured60

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI91
    ProgressionAI91
    Tension & ReleaseAI88
    Section AwarenessAI90
    Flow ContinuityAI91
    PayoffAI96

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured85
    PacingAI88
    MomentumAI95
    Peak ManagementAI91
    Energy HandoffAI93
    Fatigue ControlAI45

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI82
    ContrastAI80
    Transition Varietymeasured93
    Selection RiskAI89
    FreshnessAI45
    Surprise ControlAI82

    IDENTITY

    Did the mix sound like you?

    15%92
    Selection QualityAI92
    Identity ConsistencyAI98
    IntentionalityAI94
    ConfidenceAI96
    RestraintAI78
    SignatureAI95

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

    Energy arc

    0:00110:00

    Transitions analysed (6)

    3:45

    EQ-based blend with high-pass filtering

    Seamless integration of the new percussive loop while maintaining the low-end drive.

    92
    7:12

    Hard swap on the downbeat

    Aggressive but precise transition that resets the energy for the next track.

    88
    13:45

    High-pass filter sweep into a hard kick swap

    Perfectly timed energy handoff that maintains the driving momentum.

    90
    18:12

    Long percussive blend with mid-range EQ layering

    Smooth integration of two tracks, creating a dense, hypnotic wall of sound.

    82
    24:12

    Hard cut on the 1 with high-pass filter release

    Perfectly timed energy injection that maintains the industrial gallop.

    92
    28:45

    16-bar EQ blend with mid-range dominance

    Smooth integration of a vocal hook over the existing rhythm track.

    88

    Technical subscores

    86

    EQ balance

    93

    Beat alignment

    92

    Energy control

    96

    Tempo stability

    87

    Loudness control

    92

    phrase alignment

    89

    Musical coherence

    81

    Harmonic compatibility

    87

    Transition cleanliness

    Measured (DSP)

    18 ms

    Beat-grid drift (median)

    180.8 ms

    Drift p95

    7,252

    Boundaries detected

    72

    Hard cuts / h

    30

    Clipping events

    370

    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 (0:00, 18:30, 31:00, 66:00, 70:00, 88:00). Long loops kill dancefloor momentum.

    Timeline

    • 5:30Vocal Peak
    • 9:45Tension Breakdown
    • 15:20Industrial Peak
    • 20:45Tension Plateau
    • 26:30Industrial Saturation
    • 30:15Vocal Breakdown

    Coaching notes

    • Incorporate more mid-frequency filtering to create 'breathing' space in dense tracks.
    • Experiment with 160-BPM 'fake-out' drops to surprise the audience.
    • Use more stereo-width automation on atmospheric layers to enhance the festival scale.
    • Introduce a 32-bar ambient break to reset the crowd's ears before the final peak.
    • Layer a high-frequency noise oscillator during transitions to further blur the lines between tracks.
    • Experiment with sudden BPM shifts (±2 BPM) to create momentary disorientation.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Sara Landry's Sara Landry - Live @ Ultra Miami 2026 get?
    Sara Landry - Live @ Ultra Miami 2026 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Sara Landry - Live @ Ultra Miami 2026?
    The analysed recording runs 2h 01m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 92/100, while SURPRISE is the lowest at 81/100.
    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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