Dewalta — DJ Set @ Output Brooklyn New York 2018

    Indie House · 2h 13m · analysed 22 Aug 2026 · source: soundcloud.com

    Overall score
    85/100
    Level
    festival ready
    Duration
    2h 13m
    Genre
    Indie House

    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, Dewalta.

    In short

    DJ Set @ Output Brooklyn New York 2018 by Dewalta scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (90/100) and the weakest is SURPRISE (81/100).

    Mastery in techno is often found in what the DJ chooses NOT to do; here, the restraint is the defining characteristic of a pro.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (13:00, 19:00, 24:00, 30:00, 37:00, 56:00). Long loops kill dancefloor momentum.

    What to try next

    • Continue to explore long, evolving blends to maintain the hypnotic state.
    • Experiment with subtle high-frequency FX to add texture to the percussive loops.
    • Consider a brief 'reset' moment around the 20-minute mark to refresh the listener's ears.
    • Experiment with more aggressive filter sweeps to create artificial peaks.

    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.

    • 5:45Measured (DSP)95/100Listen at 5:45

      A textbook hypnotic techno transition. The incoming track's low-end is introduced so subtly it feels like a natural progression of the first track.

    • 9:42Measured (DSP)92/100Listen at 9:42

      Smooth transition focusing on the percussive energy. The high-hats of the new track add a fresh layer of drive.

    • 12:45Measured (DSP)92/100Listen at 12:45

      A textbook hypnotic techno transition. The incoming track's percussion is introduced so subtly it feels like an evolution of the current track.

    • 17:30Measured (DSP)88/100Listen at 17:30

      Smooth transition using high-pass filtering to clear space for the incoming track's low end. Maintains momentum perfectly.

    • 22:22Measured (DSP)92/100Listen at 22:22

      Incredibly smooth transition; the incoming percussion is introduced so subtly it feels like a track evolution.

    • 28:05Measured (DSP)88/100Listen at 28:05

      Clean bass handover. The energy stays flat but the groove pocket changes slightly.

    About this indie house set

    DJ Set @ Output Brooklyn New York 2018 is a indie house DJ set by Dewalta, running 2h 13m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.

    The engine files this performance as “Promising”.

    Mastery in techno is often found in what the DJ chooses NOT to do; here, the restraint is the defining characteristic of a pro.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 90/100; the weakest is SURPRISE at 81/100.

    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 60 points, moving between 30 and 90 on the SOONOS energy scale — a wide dynamic range across the set.

    6 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 167.2 grid breaks per hour, with a median beat offset of 7 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

    Mastery in techno is often found in what the DJ chooses NOT to do; here, the restraint is the defining characteristic of a pro.

    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 Alignmentmeasured98
    Transition Qualitymeasured80
    Phrase Accuracymeasured91
    EQ & Frequency Control (estimated)measured87
    Tempo Stability (estimated)measured94
    Technical Cleanlinessmeasured71

    STORYTELLING

    Did the mix go somewhere?

    25%87
    Narrative ArcAI90
    ProgressionAI86
    Tension & ReleaseAI82
    Section AwarenessAI88
    Flow ContinuityAI93
    PayoffAI83

    ENERGY

    Did you control the room?

    20%85
    Energy Curvemeasured79
    PacingAI89
    MomentumAI92
    Peak ManagementAI83
    Energy HandoffAI86
    Fatigue ControlAI79

    SURPRISE

    Did you remain unpredictable?

    15%81
    Unexpected MomentsAI78
    ContrastAI80
    Transition Varietymeasured91
    Selection RiskAI79
    FreshnessAI75
    Surprise ControlAI78

    IDENTITY

    Did the mix sound like you?

    15%90
    Selection QualityAI87
    Identity ConsistencyAI96
    IntentionalityAI90
    ConfidenceAI90
    RestraintAI89
    SignatureAI84

    Energy arc

    0:00132:00

    Transitions analysed (6)

    5:45

    Long EQ blend, low-end swap on phrase

    A textbook hypnotic techno transition. The incoming track's low-end is introduced so subtly it feels like a natural progression of the first track.

    95
    9:42

    Mid-range layering and high-pass transition

    Smooth transition focusing on the percussive energy. The high-hats of the new track add a fresh layer of drive.

    92
    12:45

    Long EQ blend with low-end swap

    A textbook hypnotic techno transition. The incoming track's percussion is introduced so subtly it feels like an evolution of the current track.

    92
    17:30

    Filter-assisted transition

    Smooth transition using high-pass filtering to clear space for the incoming track's low end. Maintains momentum perfectly.

    88
    22:22

    Long EQ blend (64 bars)

    Incredibly smooth transition; the incoming percussion is introduced so subtly it feels like a track evolution.

    92
    28:05

    Low-end swap on phrase

    Clean bass handover. The energy stays flat but the groove pocket changes slightly.

    88

    Technical subscores

    87

    EQ balance

    94

    Beat alignment

    87

    Energy control

    94

    Tempo stability

    86

    Loudness control

    92

    Musical coherence

    86

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    7 ms

    Beat-grid drift (median)

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

    57 ms

    Drift p95

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

    7,990

    Boundaries detected

    Points where the audio changes track or section.

    80

    Hard cuts / h

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

    125

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    547

    Level jumps

    Sudden volume steps between tracks.

    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 (13:00, 19:00, 24:00, 30:00, 37:00, 56:00). Long loops kill dancefloor momentum.

    Timeline

    • 2:15Atmospheric Immersion
    • 7:30Groove Lock
    • 14:30Groove Lock Peak
    • 19:15Subtle Energy Shift
    • 25:45Groove Lock Peak

    Coaching notes

    • Continue to explore long, evolving blends to maintain the hypnotic state.
    • Experiment with subtle high-frequency FX to add texture to the percussive loops.
    • Consider a brief 'reset' moment around the 20-minute mark to refresh the listener's ears.
    • Experiment with more aggressive filter sweeps to create artificial peaks.
    • Try layering a very sparse vocal element to add a human dimension to the industrial sound.
    • Maintain the current level of EQ precision; it is world-class.
    • Use long-form filter sweeps to create macro-tension.
    • Incorporate subtle melodic hooks to increase emotional engagement.
    • Experiment with 'double-drop' techniques to surprise the floor.
    • Vary the percussion density more aggressively between tracks.
    • Experiment with subtle delay effects on percussive elements to enhance the hypnotic feel.
    • Use the mid-EQ more aggressively during transitions to create more distinct 'third track' moments.
    • Consider a brief, high-impact rhythmic switch-up to surprise the crowd and reset their attention.
    • Maintain the excellent gain staging observed in this segment.
    • Experiment with brief, high-contrast elements (e.g., industrial stabs) to punctuate the groove.
    • Maintain the surgical EQ precision; it is your strongest technical asset.
    • Consider a slightly more aggressive peak energy level toward the end of the segment.
    • Introduce a brief melodic element to create a memorable peak.
    • Experiment with more aggressive filter sweeps to signal transitions.
    • Use a short breakdown to reset the energy before the final peak.
    • Continue exploring long, multi-track layering to create unique sonic textures.
    • Introduce a slightly more aggressive lead element in the next segment to push the energy to its absolute peak.
    • Maintain the current EQ balance; the clarity in the low-end is exceptional.
    Listen on SoundCloud

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    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 Dewalta's DJ Set @ Output Brooklyn New York 2018 get?
    DJ Set @ Output Brooklyn New York 2018 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is DJ Set @ Output Brooklyn New York 2018?
    The analysed recording runs 2h 13m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 90/100, 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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