Gai Barone — Patterns 633
Progressive · 1h 27m · analysed 23 Aug 2026
About this progressive set
Patterns 633 is a progressive DJ set by Gai Barone, running 1h 27m. It was measured by the SOONOS multi-agent engine and scores 77/100 overall — solid.
The engine files this performance as “Promising”.
This DJ understands that in techno, the space between the notes is as important as the notes themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 86/100; the weakest is SURPRISE at 74/100.
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 35 points, moving between 20 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 988.2 grid breaks per hour, with a median beat offset of 25 ms.
Full SOONOS analysis
This DJ understands that in techno, the space between the notes is as important as the notes themselves.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%84
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%82
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%76
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%74
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%86
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 80.
Energy arc
Transitions analysed (6)
Long-form spectral blend
A masterclass in patience. The transition is almost imperceptible as the low-end of the new track replaces the old one over 64 bars.
EQ-based percussive swap
Clean handover of the high-hat patterns. The groove remains perfectly stable.
Long EQ blend with low-end swap
Perfectly executed transition that maintains the hypnotic momentum.
Mid-frequency layering
Smooth introduction of new percussive elements without cluttering the mix.
Long EQ blend with low-end swap
Seamless transition that maintains the hypnotic flow perfectly.
Percussive layering and mid-range swap
Smooth integration of new rhythmic elements, building energy effectively.
Technical subscores
86
EQ balance
90
Beat alignment
82
Energy control
92
Tempo stability
85
Loudness control
84
Musical coherence
85
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
24.8 ms
Beat-grid drift (median)
257.8 ms
Drift p95
5,203
Boundaries detected
12
Hard cuts / h
58
Clipping events
85
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 (18:45, 24:00, 30:00, 33:00, 38:00, 54:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Technical precision in long blends
- Exceptional groove continuity
- Mature restraint in energy management
Timeline
- 0:45Atmospheric Hook
- 6:15Groove Lock-in
- 14:50Groove Lock Peak
- 19:10Subtle Energy Sag
- 25:30Groove Lock
- 30:15Tension Peak
Coaching notes
- Introduce more frequent, subtle filter movements to keep the long plateaus dynamic.
- Experiment with brief rhythmic silences (1-2 beats) to reset the listener's ear.
- Incorporate more distinct melodic motifs to enhance the narrative arc.
- Introduce a subtle melodic element to break the percussive monotony.
- Experiment with brief rhythmic silences to reset the dancefloor's attention.
- Use a wider stereo field for atmospheric elements to increase the sense of space.
- Experiment with subtle melodic layering in the final track to add emotional depth.
- Use a wider stereo image for atmospheric elements during the final 5 minutes.
- Practice using short, sharp high-pass filter cuts to create micro-tensions within the long blends.
Curious how your own set scores?
Questions about this analysis
- What score does Gai Barone's Patterns 633 get?
- Patterns 633 scores 77/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Patterns 633?
- The analysed recording runs 1h 27m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 86/100, while SURPRISE is the lowest at 74/100.
- 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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