Gai Barone — Patterns 688
Progressive · 1h 29m · 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 688 by Gai Barone scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (85/100) and the weakest is SURPRISE (76/100).
This DJ understands that the space between the beats is just as important as the beats themselves.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (20:00, 31:00, 38:30, 45:00, 50:15, 72:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with subtle filter automation during long loops to maintain micro-tension.
- Consider layering a very sparse vocal or melodic stem to add a unique signature to the blends.
- Ensure the transition from the intro to the first track has a slightly more defined 'drop' to signal the start of the dance phase.
- Experiment with more dramatic filter sweeps to create moments of tension and release.
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.
Seamless introduction of the first rhythmic track.
Smooth transition into a more percussive track.
Excellent execution of a deep techno blend. The transition is almost imperceptible, maintaining the hypnotic state perfectly.
A solid transition that introduces more rhythmic complexity. A very slight level increase in the high-mids is audible but not disruptive.
Flawless execution, the new groove emerges naturally from the old one.
Smooth transition using high-pass filtering to clear space for the incoming track.
About this progressive set
Patterns 688 is a progressive DJ set by Gai Barone, running 1h 29m. It was measured by the SOONOS multi-agent engine and scores 78/100 overall — club ready.
The engine files this performance as “Promising”.
This DJ understands that the space between the beats is just as important as the beats themselves.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 85/100; the weakest is SURPRISE at 76/100.
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 39 points, moving between 20 and 88 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 630.6 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
This DJ understands that the space between the beats is just as important as the beats themselves.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%85
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%84
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%80
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%76
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%85
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
Long EQ blend
Seamless introduction of the first rhythmic track.
EQ swap on phrase
Smooth transition into a more percussive track.
Long EQ blend with low-end swap
Excellent execution of a deep techno blend. The transition is almost imperceptible, maintaining the hypnotic state perfectly.
Mid-range focused blend
A solid transition that introduces more rhythmic complexity. A very slight level increase in the high-mids is audible but not disruptive.
Long EQ blend with low-end swap
Flawless execution, the new groove emerges naturally from the old one.
Filter-assisted blend
Smooth transition using high-pass filtering to clear space for the incoming track.
Technical subscores
86
EQ balance
92
Beat alignment
84
Energy control
92
Tempo stability
85
Loudness control
88
Musical coherence
85
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.
235 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,322
Boundaries detected
Points where the audio changes track or section.
20
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.
141
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 (20:00, 31:00, 38:30, 45:00, 50:15, 72:00). Long loops kill dancefloor momentum.
Timeline
- 0:00Cinematic Intro
- 3:05Groove Entry
- 14:30Groove Lock
- 20:15Tension Peak
- 27:30Groove Peak
Coaching notes
- Experiment with subtle filter automation during long loops to maintain micro-tension.
- Consider layering a very sparse vocal or melodic stem to add a unique signature to the blends.
- Ensure the transition from the intro to the first track has a slightly more defined 'drop' to signal the start of the dance phase.
- Experiment with more dramatic filter sweeps to create moments of tension and release.
- Incorporate occasional vocal snippets or organic textures to add human elements to the industrial sound.
- Try a 'strategic disruption'—a brief, unexpected break in the rhythm—to reset the listener's attention.
- Introduce more varied mid-range textures to break the industrial monotony.
- Experiment with more aggressive filter sweeps during transitions to add drama.
- Try incorporating a 'wildcard' track that slightly deviates from the hypnotic formula to surprise the listener.
- Focus on creating more distinct 'peaks' within the mix to provide a clearer narrative arc.
- Use longer, more dramatic breakdowns to create emotional peaks.
- Experiment with layering melodic elements to add depth to the industrial sound.
- Vary transition lengths to keep the listener engaged and surprised.
- Incorporate more aggressive filter sweeps to build tension during long loops.
- Use subtle high-pass filter sweeps to create mini-tensions and releases within long loops.
- Incorporate more distinct melodic elements toward the end of the segment to prepare for the next narrative chapter.
- Experiment with brief, 4-bar percussion-only sections to reset the listener's ear before a new layer enters.
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 688 get?
- Patterns 688 scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Patterns 688?
- The analysed recording runs 1h 29m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 85/100, while SURPRISE is the lowest at 76/100.
- 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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