Gai Barone — Patterns 689
Progressive · 1h 24m · analysed 23 Aug 2026
About this progressive set
Patterns 689 is a progressive DJ set by Gai Barone, running 1h 24m. It was measured by the SOONOS multi-agent engine and scores 74/100 overall — solid.
The engine files this performance as “Promising”.
This DJ understands that in hypnotic techno, the transition is not a bridge between tracks, but the track itself.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 84/100; the weakest is SURPRISE at 71/100.
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 24 points, moving between 20 and 85 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 577.2 grid breaks per hour, with a median beat offset of 23 ms.
Full SOONOS analysis
This DJ understands that in hypnotic techno, the transition is not a bridge between tracks, but the track itself.
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%79
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%75
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%71
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%83
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 79.
Energy arc
Transitions analysed (5)
Long EQ blend with high-pass filtering
A very smooth transition where the new track's atmosphere replaces the intro's drones almost imperceptibly.
Percussive layering and low-end swap
Solid technical execution. The low-end swap is timed perfectly with the phrase change.
Long EQ blend with low-end swap
Excellent management of the sub-bass handover; the transition is almost imperceptible.
Mid-range layering
Smooth transition focusing on the high-hat and snare patterns.
Long EQ blend with low-end handover
Excellent execution; the tracks are perfectly phase-aligned, creating a seamless transition.
Technical subscores
86
EQ balance
90
Beat alignment
80
Energy control
91
Tempo stability
83
Loudness control
84
Musical coherence
83
Harmonic compatibility
87
Transition cleanliness
Measured (DSP)
22.6 ms
Beat-grid drift (median)
257.9 ms
Drift p95
5,034
Boundaries detected
34
Hard cuts / h
2
Clipping events
143
Level jumps
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (4×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (36:00, 42:00, 60:00, 66:00). Long loops kill dancefloor momentum.
Timeline
- 1:15Thematic Anchor
- 5:45Groove Lock
- 15:20Groove Lock Peak
- 20:45Energy Plateau
Coaching notes
- Experiment with more dramatic filter sweeps to build tension.
- Introduce a few more 'surprise' elements to keep the listener engaged.
- Ensure perfect level matching during transitions to avoid minor energy dips.
- Consider a brief, filtered breakdown to reset the energy arc.
- Introduce more varied melodic elements to break the rhythmic linearity.
- Experiment with more aggressive EQ filtering during transitions to create 'moments'.
- Consider a brief energy reset (breakdown) to make the subsequent peak hit harder.
Curious how your own set scores?
Questions about this analysis
- What score does Gai Barone's Patterns 689 get?
- Patterns 689 scores 74/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Patterns 689?
- The analysed recording runs 1h 24m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 84/100, while SURPRISE is the lowest at 71/100.
- 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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