wAFF — wAFF - London Warehouse Events PODCAST 2014
House · 1h 27m · analysed 26 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, wAFF.
In short
wAFF - London Warehouse Events PODCAST 2014 by wAFF scores 85/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (92/100) and the weakest is SURPRISE (81/100).
wAFF's mastery of percussion creates a hypnotic state that is both physically demanding and mentally engaging.
Key takeaways
What worked
- Flawless technical execution
- Exceptional groove continuity
- Professional track selection
- Groove continuity
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (2:30, 7:30, 33:00, 37:00, 43:00, 66:00). Long loops kill dancefloor momentum.
What to try next
- Maintain the patient build-up; it's a key strength.
- Experiment with brief, high-impact 'cut' transitions to add surprise.
- Use subtle melodic elements to create emotional peaks.
- Ensure the sub-bass remains clean and defined as the mix progresses.
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 masterfully executed transition where the new track's hats and claps are introduced so subtly they feel like part of the original track.
Clean handover of the low-end frequencies, maintaining the momentum perfectly.
Perfectly executed handover. The transition is almost imperceptible as the new bassline takes over.
Smooth transition into a more vocal-driven track. The layering adds energy without clutter.
Effective energy shift. The DJ waits for the breakdown to fully resolve before bringing in the new kick.
Intentional artistic
About this house set
wAFF - London Warehouse Events PODCAST 2014 is a house DJ set by wAFF, running 1h 27m. It was measured by the SOONOS multi-agent engine and scores 85/100 overall — festival ready.
The engine files this performance as “Promising”.
wAFF's mastery of percussion creates a hypnotic state that is both physically demanding and mentally engaging.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; the weakest is SURPRISE 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 38 points, moving between 65 and 92 on the SOONOS energy scale — a moderate dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 80.6 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
wAFF's mastery of percussion creates a hypnotic state that is both physically demanding and mentally engaging.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%87
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%88
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%84
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%81
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%92
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long percussive blend with gradual EQ swap
A masterfully executed transition where the new track's hats and claps are introduced so subtly they feel like part of the original track.
Bass-swap on the phrase
Clean handover of the low-end frequencies, maintaining the momentum perfectly.
Long EQ blend with low-end swap
Perfectly executed handover. The transition is almost imperceptible as the new bassline takes over.
Percussive layering and high-pass filtering
Smooth transition into a more vocal-driven track. The layering adds energy without clutter.
Drop swap on the phrase
Effective energy shift. The DJ waits for the breakdown to fully resolve before bringing in the new kick.
Perfect Blend
Minor EQ Overlap
intentional_artistic
Technical subscores
88
EQ balance
93
Beat alignment
87
Energy control
94
Tempo stability
89
Loudness control
90
Musical coherence
87
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.
23 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,224
Boundaries detected
Points where the audio changes track or section.
61
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
138
Clipping events
Moments where the recording hits the ceiling and distorts.
389
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 (2:30, 7:30, 33:00, 37:00, 43:00, 66:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Flawless technical execution
- Exceptional groove continuity
- Professional track selection
- Groove continuity
- Phrase alignment
- Selection maturity
Timeline
- 3:45Percussive Peak
- 7:15Bassline Introduction
- 14:50Groove Lock Peak
- 19:15Vocal Integration
Coaching notes
- Maintain the patient build-up; it's a key strength.
- Experiment with brief, high-impact 'cut' transitions to add surprise.
- Use subtle melodic elements to create emotional peaks.
- Ensure the sub-bass remains clean and defined as the mix progresses.
- Continue to leverage long blends to maintain the hypnotic state.
- Experiment with more dramatic frequency cuts during transitions to create 'pop' moments.
- Introduce a track with a strong melodic hook to provide a narrative peak in the next segment.
- Experiment with more dramatic EQ cuts during transitions to create 'air' for the incoming track.
- Consider introducing a melodic element earlier in the segment to broaden the emotional range.
- Use the high-pass filter more aggressively during breakdowns to heighten the impact of the drop.
- Continue utilizing long blends to maintain the hypnotic warehouse atmosphere.
- Experiment with a 'wildcard' track that breaks the tech-house mold to add a moment of surprise.
- Focus on the mid-range EQ during layering to ensure synth stabs don't compete for space.
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 wAFF's wAFF - London Warehouse Events PODCAST 2014 get?
- wAFF - London Warehouse Events PODCAST 2014 scores 85/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is wAFF - London Warehouse Events PODCAST 2014?
- The analysed recording runs 1h 27m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 92/100, while SURPRISE 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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