Pawsa — PAWSA LIVE @ CIRCOLOCO, FABRIKA, RIO DE JANEIRO 🇧🇷 21.04.22

    Tech House · 1h 26m · Circoloco · analysed 24 Aug 2026 · source: soundcloud.com

    Overall score
    84/100
    Level
    club ready
    Duration
    1h 26m
    Genre
    Tech 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, Pawsa.

    In short

    PAWSA LIVE @ CIRCOLOCO, FABRIKA, RIO DE JANEIRO 🇧🇷 21.04.22 by Pawsa scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (93/100) and the weakest is TECHNIQUE (81/100).

    The engine files this performance as “Promising”.

    Key takeaways

    What weakened the set

    • Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 4:00, 13:00, 29:00, 32:00, 39:30). Long loops kill dancefloor momentum.

    What to try next

    • Maintain the long, seamless blends to preserve the hypnotic state.
    • Consider introducing a 'reset' moment around the 20-minute mark to prevent fatigue.
    • Continue to leverage vocal hooks to maintain emotional engagement.
    • Continue to leverage long, transparent blends to maintain the hypnotic state.

    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.

    • 3:45Measured (DSP)92/100Listen at 3:45

      A textbook tech-house blend, maintaining the groove while introducing new percussive elements.

    • 8:52Measured (DSP)88/100Listen at 8:52

      Smooth transition into a more vocal-centric track, perfectly timed for the 8-minute mark.

    • 11:15Measured (DSP)90/100Listen at 11:15

      Perfectly executed transition, maintaining sub-bass continuity.

    • 15:12Measured (DSP)88/100Listen at 15:12

      Smooth integration of new percussive elements without clutter.

    • 19:08Measured (DSP)85/100Listen at 19:08

      Effective energy handoff that keeps the momentum high.

    • 23:00Measured (DSP)90/100Listen at 23:00

      Perfectly executed transition, maintaining the sub-bass energy without phase issues.

    • 27:00Measured (DSP)82/100Listen at 27:00

      Slightly busy mid-range during the blend, but the groove remains intact.

    About this tech house set

    PAWSA LIVE @ CIRCOLOCO, FABRIKA, RIO DE JANEIRO 🇧🇷 21.04.22 is a tech house DJ set by Pawsa, running 1h 26m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.

    The engine files this performance as “Promising”.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is TECHNIQUE 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 50 points, moving between 70 and 92 on the SOONOS energy scale — a moderate dynamic range across the set.

    7 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 575.9 grid breaks per hour, with a median beat offset of 18 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 8 dimensions

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

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%81
    Beat Alignmentmeasured84
    Transition Qualitymeasured57
    Phrase Accuracymeasured92
    EQ & Frequency Control (estimated)measured88
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured69

    STORYTELLING

    Did the mix go somewhere?

    25%88
    Narrative ArcAI90
    ProgressionAI87
    Tension & ReleaseAI84
    Section AwarenessAI87
    Flow ContinuityAI93
    PayoffAI87

    ENERGY

    Did you control the room?

    20%86
    Energy Curvemeasured79
    PacingAI89
    MomentumAI94
    Peak ManagementAI84
    Energy HandoffAI87
    Fatigue ControlAI83

    SURPRISE

    Did you remain unpredictable?

    15%83
    Unexpected MomentsAI81
    ContrastAI79
    Transition Varietymeasured92
    Selection RiskAI85
    FreshnessAI78
    Surprise ControlAI81

    IDENTITY

    Did the mix sound like you?

    15%93
    Selection QualityAI89
    Identity ConsistencyAI97
    IntentionalityAI93
    ConfidenceAI94
    RestraintAI89
    SignatureAI94

    Energy arc

    0:0085:44

    Transitions analysed (7)

    3:45

    Long EQ blend with low-end swap

    A textbook tech-house blend, maintaining the groove while introducing new percussive elements.

    92
    8:52

    Phrase-aligned blend with mid-range focus

    Smooth transition into a more vocal-centric track, perfectly timed for the 8-minute mark.

    88
    11:15

    Long EQ blend, low-end swap on phrase

    Perfectly executed transition, maintaining sub-bass continuity.

    90
    15:12

    Transparent mid-range blend

    Smooth integration of new percussive elements without clutter.

    88
    19:08

    Bass-swap on the drop

    Effective energy handoff that keeps the momentum high.

    85
    23:00

    Long EQ blend with low-end swap

    Perfectly executed transition, maintaining the sub-bass energy without phase issues.

    90
    27:00

    Percussive layering

    Slightly busy mid-range during the blend, but the groove remains intact.

    82

    Technical subscores

    88

    EQ balance

    93

    Beat alignment

    88

    Energy control

    95

    Tempo stability

    86

    Loudness control

    91

    Musical coherence

    85

    Harmonic compatibility

    90

    Transition cleanliness

    Measured (DSP)

    18 ms

    Beat-grid drift (median)

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

    219 ms

    Drift p95

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

    5,127

    Boundaries detected

    Points where the audio changes track or section.

    176

    Hard cuts / h

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

    27

    Clipping events

    Moments where the recording hits the ceiling and distorts.

    647

    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 (0:00, 4:00, 13:00, 29:00, 32:00, 39:30). Long loops kill dancefloor momentum.

    Timeline

    • 0:00Intro Impact
    • 6:30Groove Lock
    • 14:20Groove Lock Peak
    • 17:45Percussive Layering Mastery
    • 25:45Groove Lock
    • 30:15Energy Peak
    • 27:00Risky pressure or vibe dip

    Coaching notes

    • Maintain the long, seamless blends to preserve the hypnotic state.
    • Consider introducing a 'reset' moment around the 20-minute mark to prevent fatigue.
    • Continue to leverage vocal hooks to maintain emotional engagement.
    • Continue to leverage long, transparent blends to maintain the hypnotic state.
    • Consider a brief 'atmospheric' break around the 25-minute mark to provide contrast to the relentless drive.
    • Experiment with subtle vocal manipulation to add a unique 'signature' to the percussive loops.
    • Experiment with more dramatic filter sweeps during transitions.
    • Incorporate occasional melodic stabs to provide contrast to the percussion.
    • Utilize longer breakdowns to build more anticipation.
    • Continue to leverage long-form EQ blends to maintain the hypnotic state.
    • Use subtle high-pass filtering during transitions to create 'breathing room' for the incoming kick.
    • Maintain the current balance of percussive complexity and vocal hooks.
    • Experiment with longer, more complex filter sweeps to build tension.
    • Use vocal hooks more strategically to create memorable peak moments.
    • Ensure gain matching is flawless to maintain a consistent physical impact.
    • Experiment with even longer, more experimental layering of vocals to further define the signature sound.
    • Consider a slightly more atmospheric outro to provide a more definitive 'end' to the journey.
    • The technical execution is flawless; focus now on finding even more unique, 'left-field' samples to maintain the surprise factor.
    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 Pawsa's PAWSA LIVE @ CIRCOLOCO, FABRIKA, RIO DE JANEIRO 🇧🇷 21.04.22 get?
    PAWSA LIVE @ CIRCOLOCO, FABRIKA, RIO DE JANEIRO 🇧🇷 21.04.22 scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
    How long is PAWSA LIVE @ CIRCOLOCO, FABRIKA, RIO DE JANEIRO 🇧🇷 21.04.22?
    The analysed recording runs 1h 26m.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 93/100, while TECHNIQUE 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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