Gai Barone — Patterns 689
Progressive · 1h 24m · analysed 23 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, Gai Barone.
In short
Patterns 689 by Gai Barone scores 74/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (84/100) and the weakest is SURPRISE (71/100).
This DJ understands that in hypnotic techno, the transition is not a bridge between tracks, but the track itself.
Key takeaways
What weakened the set
- 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.
What to try next
- 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.
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.
A very smooth transition where the new track's atmosphere replaces the intro's drones almost imperceptibly.
Solid technical execution. The low-end swap is timed perfectly with the phrase change.
Excellent management of the sub-bass handover; the transition is almost imperceptible.
Smooth transition focusing on the high-hat and snare patterns.
Excellent execution; the tracks are perfectly phase-aligned, creating a seamless transition.
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.
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.
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
This DJ understands that in hypnotic techno, the transition is not a bridge between tracks, but the track itself.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
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?
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)
23 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
258 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,034
Boundaries detected
Points where the audio changes track or section.
34
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
2
Clipping events
Moments where the recording hits the ceiling and distorts.
143
Level jumps
Sudden volume steps between tracks.
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?
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 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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