SOONOS

    Lilly PalmerLilly Palmer live at EDC Las Vegas neonGarden 17/05/2024

    Hard Techno · 1h 28m · EDC · analysed 23 Aug 2026 · source: soundcloud.com

    Overall score
    86/100
    Level
    festival ready
    Duration
    1h 28m
    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, Lilly Palmer.

    In short

    Lilly Palmer live at EDC Las Vegas neonGarden 17/05/2024 by Lilly Palmer scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (91/100) and the weakest is SURPRISE (84/100).

    Lilly Palmer demonstrates why she is a festival staple, delivering a set that is as technically flawless as it is physically demanding.

    Key takeaways

    What worked

    • Technical precision
    • Energy consistency
    • Crowd engagement

    What weakened the set

    • Repeated volume jumps (2×) — Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 2× (05:42, 17:50).
    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (20:00, 31:00, 33:00, 41:00, 44:00, 51:45). Long loops kill dancefloor momentum.

    What to try next

    • Experiment with longer, more atmospheric breakdowns to create a greater sense of scale.
    • Use subtle EQ carving in the 2kHz-5kHz range to reduce harshness during high-energy blends.
    • Incorporate more 'surprise' elements like sudden rhythmic shifts to keep the audience on their toes.

    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.

    • 03:05Measured (DSP)92/100Listen at 03:05

      Smooth integration of the incoming percussion loop, maintaining the driving energy.

    • 05:42Measured (DSP)85/100Listen at 05:42

      A slight level jump is audible, but it serves to emphasize the drop impact.

    • 08:30Measured (DSP)94/100Listen at 08:30

      Perfectly timed transition that maximizes the energy of the new track's entry.

    • 11:20Measured (DSP)92/100Listen at 11:20

      Perfectly executed handover, maintaining the driving sub-bass without any phase issues.

    • 14:15Measured (DSP)88/100Listen at 14:15

      Smooth transition that builds rhythmic complexity without cluttering the mix.

    • 17:50Measured (DSP)90/100Listen at 17:50

      High-impact transition that resets the energy before a massive peak-time drop.

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

      Expertly executed transition that maintains the drive while introducing new rhythmic elements.

    • 28:55Measured (DSP)88/100Listen at 28:55

      High-impact transition that resets the energy and launches into a more aggressive phase.

    About this hard techno set

    Lilly Palmer live at EDC Las Vegas neonGarden 17/05/2024 is a hard techno DJ set by Lilly Palmer, running 1h 28m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    Lilly Palmer demonstrates why she is a festival staple, delivering a set that is as technically flawless as it is physically demanding.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 91/100; the weakest is SURPRISE at 84/100.

    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 45 points, moving between 70 and 96 on the SOONOS energy scale — a moderate dynamic range across the set.

    8 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 754.6 grid breaks per hour, with a median beat offset of 19 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

    Lilly Palmer demonstrates why she is a festival staple, delivering a set that is as technically flawless as it is physically demanding.

    The 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%88
    Beat Alignmentmeasured84
    Transition Qualitymeasured84
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured98
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%90
    Narrative ArcAI90
    ProgressionAI89
    Tension & ReleaseAI87
    Section AwarenessAI89
    Flow ContinuityAI92
    PayoffAI95

    ENERGY

    Did you control the room?

    20%87
    Energy Curvemeasured82
    PacingAI87
    MomentumAI95
    Peak ManagementAI91
    Energy HandoffAI93
    Fatigue ControlAI67

    SURPRISE

    Did you remain unpredictable?

    15%84
    Unexpected MomentsAI81
    ContrastAI85
    Transition Varietymeasured93
    Selection RiskAI89
    FreshnessAI68
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%91
    Selection QualityAI90
    Identity ConsistencyAI98
    IntentionalityAI94
    ConfidenceAI96
    RestraintAI76
    SignatureAI90

    Energy arc

    00:0076:00

    Transitions analysed (8)

    03:05

    Long EQ blend with high-pass filtering

    Smooth integration of the incoming percussion loop, maintaining the driving energy.

    92
    05:42

    Quick mid-swap on the drop

    A slight level jump is audible, but it serves to emphasize the drop impact.

    85
    08:30

    Drop swap with echo-out on outgoing track

    Perfectly timed transition that maximizes the energy of the new track's entry.

    94
    11:20

    Long EQ blend with low-end swap

    Perfectly executed handover, maintaining the driving sub-bass without any phase issues.

    92
    14:15

    Mid-frequency layering and quick low swap

    Smooth transition that builds rhythmic complexity without cluttering the mix.

    88
    17:50

    Drop swap following a short breakdown

    High-impact transition that resets the energy before a massive peak-time drop.

    90
    24:12

    Long percussive blend with high-pass filtering

    Expertly executed transition that maintains the drive while introducing new rhythmic elements.

    90
    28:55

    Drop swap after a short breakdown

    High-impact transition that resets the energy and launches into a more aggressive phase.

    88

    Technical subscores

    87

    EQ balance

    95

    Beat alignment

    93

    Energy control

    98

    Tempo stability

    89

    Loudness control

    88

    Musical coherence

    84

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    19 ms

    Beat-grid drift (median)

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

    199 ms

    Drift p95

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

    5,273

    Boundaries detected

    Points where the audio changes track or section.

    12

    Hard cuts / h

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

    77

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    123

    Level jumps

    Sudden volume steps between tracks.

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Repeated volume jumps

      Gain-staging mismatches break perceived continuity and force the crowd to readjust. Detected 2× (05:42, 17:50).

    • Long static loops (6×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (20:00, 31:00, 33:00, 41:00, 44:00, 51:45). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Technical precision
    • Energy consistency
    • Crowd engagement

    Timeline

    • 01:15Energy Statement
    • 06:45Tension Peak
    • 05:42Risky pressure or vibe dip
    • 12:45Groove Lock
    • 18:40Energy Reset
    • 17:50Risky pressure or vibe dip
    • 28:45Tension Peak

    Coaching notes

    • Experiment with longer, more atmospheric breakdowns to create a greater sense of scale.
    • Use subtle EQ carving in the 2kHz-5kHz range to reduce harshness during high-energy blends.
    • Incorporate more 'surprise' elements like sudden rhythmic shifts to keep the audience on their toes.
    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 Lilly Palmer's Lilly Palmer live at EDC Las Vegas neonGarden 17/05/2024 get?
    Lilly Palmer live at EDC Las Vegas neonGarden 17/05/2024 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Lilly Palmer live at EDC Las Vegas neonGarden 17/05/2024?
    The analysed recording runs 1h 28m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 91/100, while SURPRISE is the lowest at 84/100.
    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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