Omri Smadar — Omri Smadar - @Gilapalooza [Dec 22]
Melodic House · 1h 57m · analysed 24 Aug 2026 · source: soundcloud.com
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, Omri Smadar.
In short
Omri Smadar - @Gilapalooza [Dec 22] by Omri Smadar scores 81/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (87/100) and the weakest is SURPRISE (78/100).
The DJ's restraint is their greatest asset, creating a set that feels both powerful and effortless.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (29:00, 42:30, 58:00, 68:20, 76:00, 82:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with layering three tracks to create unique rhythmic textures.
- Use subtle reverb washes to transition between different atmospheric moods.
- Incorporate field recordings or organic samples to add a human touch to the digital precision.
- Introduce melodic elements more gradually to avoid breaking the hypnotic flow.
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.
Expertly executed handover. The transition is felt through the change in percussion texture rather than a drop in energy.
Smooth integration of the incoming vocal track. The DJ waits for the phrase to resolve before fully committing the fader.
Very smooth transition, maintaining the percussive energy while introducing a new bassline motif.
Effective transition that shifts the focus from percussion to a more melodic synth texture.
About this melodic house set
Omri Smadar - @Gilapalooza [Dec 22] is a melodic house DJ set by Omri Smadar, running 1h 57m. It was measured by the SOONOS multi-agent engine and scores 81/100 overall — club ready.
The engine files this performance as “Promising”.
The DJ's restraint is their greatest asset, creating a set that feels both powerful and effortless.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 87/100; the weakest is SURPRISE at 78/100.
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 46 points, moving between 65 and 90 on the SOONOS energy scale — a moderate dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 255.3 grid breaks per hour, with a median beat offset of 20 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.
Full SOONOS analysis
The DJ's restraint is their greatest asset, creating a set that feels both powerful and effortless.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%86
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%85
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%82
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%78
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%87
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
Perfect Blend
Invisible Handover
Long EQ blend with low-end swap
Expertly executed handover. The transition is felt through the change in percussion texture rather than a drop in energy.
Mid-range layering with vocal introduction
Smooth integration of the incoming vocal track. The DJ waits for the phrase to resolve before fully committing the fader.
Long EQ blend with low-end swap
Very smooth transition, maintaining the percussive energy while introducing a new bassline motif.
Mid-frequency focused blend
Effective transition that shifts the focus from percussion to a more melodic synth texture.
Technical subscores
87
EQ balance
92
Beat alignment
85
Energy control
92
Tempo stability
86
Loudness control
89
Musical coherence
86
Harmonic compatibility
89
Transition cleanliness
Measured (DSP)
20 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
138 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
6,995
Boundaries detected
Points where the audio changes track or section.
62
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
250
Clipping events
Moments where the recording hits the ceiling and distorts.
217
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 (29:00, 42:30, 58:00, 68:20, 76:00, 82:00). Long loops kill dancefloor momentum.
Timeline
- 14:30Groove Lock Established
- 18:15Percussive Stagnation
- 25:45Groove Lock
Coaching notes
- Experiment with layering three tracks to create unique rhythmic textures.
- Use subtle reverb washes to transition between different atmospheric moods.
- Incorporate field recordings or organic samples to add a human touch to the digital precision.
- Introduce melodic elements more gradually to avoid breaking the hypnotic flow.
- Experiment with brief moments of silence or extreme filtering to create more dramatic tension.
- Add a unique signature element (e.g., a specific FX chain or vocal processing) to stand out.
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 Omri Smadar's Omri Smadar - @Gilapalooza [Dec 22] get?
- Omri Smadar - @Gilapalooza [Dec 22] scores 81/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Omri Smadar - @Gilapalooza [Dec 22]?
- The analysed recording runs 1h 57m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 87/100, while SURPRISE is the lowest at 78/100.
- 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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- Omri Smadar @ TERRA Independence Day Party 202281
- Omri Smadar - IN DARK WE TRUST #9080
- Omri Smadar @ Alphabet (2014)79
- Omri Smadar - DJ Mix For 99fm Radio (Jan 16)78
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Test how a set like this one would land in a club, a beach club or a festival.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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