Adriana Lopez — rocket bearded legend 1 hour.m4a
Industrial Techno · 1h 02m · analysed 21 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, Adriana Lopez.
In short
rocket bearded legend 1 hour.m4a by Adriana Lopez scores 63/100 in the SOONOS analysis (developing). The strongest dimension is TECHNIQUE (83/100) and the weakest is SURPRISE (62/100).
This DJ understands how to maintain physical momentum, but needs to develop the emotional and narrative aspects of their storytelling.
Key takeaways
What weakened the set
- Recurring mid-frequency clash (2×) — Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (04:08, 06:12).
- Long static loops (2×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:00, 45:30). Long loops kill dancefloor momentum.
What to try next
- Introduce more melodic variation to create a more complex narrative arc.
- Focus on smoother EQ handovers, particularly in the mid-range, to avoid clutter.
- Experiment with longer, more gradual tension builds to increase the impact of drops.
- Vary the energy levels slightly to prevent listener fatigue over a longer set.
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.
Smooth transition maintaining the driving groove.
Effective transition that keeps the energy high.
Slightly cluttered mid-range during the blend.
Well-executed transition that builds momentum.
Smooth transition into the main vocal loop, well-phrased.
Strategic disruption
About this industrial techno set
rocket bearded legend 1 hour.m4a is a industrial techno DJ set by Adriana Lopez, running 1h 02m. It was measured by the SOONOS multi-agent engine and scores 63/100 overall — developing.
The engine files this performance as “Promising”.
This DJ understands how to maintain physical momentum, but needs to develop the emotional and narrative aspects of their storytelling.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 83/100; the weakest is SURPRISE at 62/100.
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 25 points, moving between 75 and 95 on the SOONOS energy scale — a moderate dynamic range across the set.
8 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 53.2 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 how to maintain physical momentum, but needs to develop the emotional and narrative aspects of their storytelling.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%83
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%69
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%66
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%62
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%73
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (8)
16-bar percussive blend
Smooth transition maintaining the driving groove.
Quick EQ swap
Effective transition that keeps the energy high.
Fast layering
Slightly cluttered mid-range during the blend.
Long percussive blend
Well-executed transition that builds momentum.
Long percussive blend
Smooth transition into the main vocal loop, well-phrased.
Perfect Phasing
Minor EQ Overlap
strategic_disruption
Seamless Vocal Swap
Technical subscores
74
EQ balance
88
Beat alignment
77
Energy control
91
Tempo stability
78
Loudness control
74
Musical coherence
74
Harmonic compatibility
81
Transition cleanliness
Measured (DSP)
20 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
22 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,724
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.
176
Clipping events
Moments where the recording hits the ceiling and distorts.
207
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Recurring mid-frequency clash
Mid-range buildup muddies the soundstage and washes out vocals/synths during transitions. Detected 2× (04:08, 06:12).
Long static loops (2×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (14:00, 45:30). Long loops kill dancefloor momentum.
Timeline
- 01:15Energy Peak
- 06:15Groove Wobble
- 09:45High-Impact Drop
- 06:12Risky pressure or vibe dip
Coaching notes
- Introduce more melodic variation to create a more complex narrative arc.
- Focus on smoother EQ handovers, particularly in the mid-range, to avoid clutter.
- Experiment with longer, more gradual tension builds to increase the impact of drops.
- Vary the energy levels slightly to prevent listener fatigue over a longer set.
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 Adriana Lopez's rocket bearded legend 1 hour.m4a get?
- rocket bearded legend 1 hour.m4a scores 63/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
- How long is rocket bearded legend 1 hour.m4a?
- The analysed recording runs 1h 02m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 83/100, while SURPRISE is the lowest at 62/100.
- 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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