GRiZ — Chasing The Golden Hour (Full Set) - Live at Bonnaroo 2023
Electro Soul · 58 min · 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, GRiZ.
In short
Chasing The Golden Hour (Full Set) - Live at Bonnaroo 2023 by GRiZ scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (81/100).
The DJ treats the set as a single composition rather than a series of tracks, resulting in a deeply immersive experience.
Key takeaways
What weakened the set
- Long static loops (1×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (6:00). Long loops kill dancefloor momentum.
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.
Perfectly timed release of tension. The transition from ambient narrative to full-groove house is flawless.
Smooth transition maintaining the rhythmic energy while shifting the melodic focus.
Expertly layered vocals from the incoming track over the outgoing groove.
Strategic disruption
Intentional reset
About this electro soul set
Chasing The Golden Hour (Full Set) - Live at Bonnaroo 2023 is a electro soul DJ set by GRiZ, running 58 min. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
The DJ treats the set as a single composition rather than a series of tracks, resulting in a deeply immersive experience.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 81/100.
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 7 points, moving between 20 and 90 on the SOONOS energy scale — a wide dynamic range across the set.
8 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 938.5 grid breaks per hour, with a median beat offset of 25 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 treats the set as a single composition rather than a series of tracks, resulting in a deeply immersive experience.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%81
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%91
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%87
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%83
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%94
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (8)
Cinematic drop following spoken word build
Perfectly timed release of tension. The transition from ambient narrative to full-groove house is flawless.
High-pass filter blend with percussive layering
Smooth transition maintaining the rhythmic energy while shifting the melodic focus.
Vocal mashup blend
Expertly layered vocals from the incoming track over the outgoing groove.
Perfect Blend
Minor Level Mismatch
strategic_disruption
Harmonic Masterstroke
Perfect Phrasing
Minor Level Jump
intentional_reset
Technical subscores
83
EQ balance
91
Beat alignment
87
Energy control
94
Tempo stability
81
Loudness control
90
Musical coherence
93
Harmonic compatibility
87
Transition cleanliness
Measured (DSP)
25 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
263 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,457
Boundaries detected
Points where the audio changes track or section.
54
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
6
Clipping events
Moments where the recording hits the ceiling and distorts.
266
Level jumps
Sudden volume steps between tracks.
Measurement confidence 99% · analysed on the full audio.
Recurring patterns
Long static loops (1×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (6:00). Long loops kill dancefloor momentum.
Timeline
- 2:12The Grand Opening
- 7:45Mid-Segment Energy Plateau
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 GRiZ's Chasing The Golden Hour (Full Set) - Live at Bonnaroo 2023 get?
- Chasing The Golden Hour (Full Set) - Live at Bonnaroo 2023 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Chasing The Golden Hour (Full Set) - Live at Bonnaroo 2023?
- The analysed recording runs 58 min.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 81/100.
- 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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