Speedy J — Speedy J @ Awakenings Festival 2020 | online weekender
Experimental Techno · 1h 28m · Awakenings · analysed 19 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, Speedy J.
In short
Speedy J @ Awakenings Festival 2020 | online weekender by Speedy J scores 89/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (96/100) and the weakest is SURPRISE (86/100).
Speedy J demonstrates why he is a master of the craft, using the space between tracks to create a unique, evolving sonic architecture.
Key takeaways
What weakened the set
- Long static loops (5×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (17:00, 37:00, 44:00, 70:00, 77:00). Long loops kill dancefloor momentum.
What to try next
- Continue to leverage long blends to maintain the hypnotic state.
- Experiment with brief moments of silence or extreme filtering to reset the pressure.
- Monitor the high-end transients to ensure they remain crisp but not piercing on large systems.
- Experiment with more dramatic filter sweeps to create artificial tension peaks.
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.
Masterful handover of the sub-bass frequencies. The transition is almost imperceptible, maintaining the hypnotic state perfectly.
The DJ builds the wall of sound by slowly introducing high-frequency transients from the incoming track.
Perfectly executed handover, maintaining the sub-bass pressure.
The tracks merge into a single entity, creating a rich, evolving groove.
About this experimental techno set
Speedy J @ Awakenings Festival 2020 | online weekender is a experimental techno DJ set by Speedy J, running 1h 28m. It was measured by the SOONOS multi-agent engine and scores 89/100 overall — festival ready.
The engine files this performance as “Promising”.
Speedy J demonstrates why he is a master of the craft, using the space between tracks to create a unique, evolving sonic architecture.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 96/100; the weakest is SURPRISE at 86/100.
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 30 points, moving between 40 and 95 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 428.7 grid breaks per hour, with a median beat offset of 16 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
Speedy J demonstrates why he is a master of the craft, using the space between tracks to create a unique, evolving sonic architecture.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%89
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%93
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%88
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%86
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%96
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
Long textural blend with low-end swap
Masterful handover of the sub-bass frequencies. The transition is almost imperceptible, maintaining the hypnotic state perfectly.
Additive layering of percussive elements
The DJ builds the wall of sound by slowly introducing high-frequency transients from the incoming track.
Long EQ blend with low-end swap
Perfectly executed handover, maintaining the sub-bass pressure.
Transparent layering of percussive loops
The tracks merge into a single entity, creating a rich, evolving groove.
Perfect Blend
Surgical EQ Swap
Technical subscores
92
EQ balance
97
Beat alignment
92
Energy control
98
Tempo stability
93
Loudness control
95
Musical coherence
89
Harmonic compatibility
94
Transition cleanliness
Measured (DSP)
16 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
202 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,292
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.
12
Clipping events
Moments where the recording hits the ceiling and distorts.
102
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (5×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (17:00, 37:00, 44:00, 70:00, 77:00). Long loops kill dancefloor momentum.
Timeline
- 0:45Atmospheric Hook
- 7:30Groove Lock
- 14:30Groove Lock
- 19:15Textural Shift
Coaching notes
- Continue to leverage long blends to maintain the hypnotic state.
- Experiment with brief moments of silence or extreme filtering to reset the pressure.
- Monitor the high-end transients to ensure they remain crisp but not piercing on large systems.
- Experiment with more dramatic filter sweeps to create artificial tension peaks.
- Use a short, silent gap before a major rhythmic shift for maximum impact.
- Incorporate more varied mid-range textures to prevent sonic monotony.
- Experiment with brief moments of total silence to reset the listener's ear.
- Introduce a subtle melodic element to create a focal point within the dense percussion.
- Continue refining the 'third track' layering technique as it is a major strength.
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 Speedy J's Speedy J @ Awakenings Festival 2020 | online weekender get?
- Speedy J @ Awakenings Festival 2020 | online weekender scores 89/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Speedy J @ Awakenings Festival 2020 | online weekender?
- The analysed recording runs 1h 28m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 96/100, while SURPRISE is the lowest at 86/100.
- 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.
More Speedy J sets analysed
- Speedy J - Closing DGTL March 201889
- SPEEDY J ▪ recorded at 909 Festival 202288
- CLR podcast 217 Speedy J88
- Speedy J @ 909 Festival 2022 Amsterdam87
- Speedy J @ Torax Barcelona 11-05-202587
- Speedy J @ Awakenings Festival 201487
- speedy j @ electricdeluxe presents | amsterdam | 200979
- Speedy J @ Awakenings - Westergasfabriek 0810201074
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Test how a set like this one would land in a club, a beach club or a festival.
Get the same breakdown on your own set: transitions, energy arc and measured execution.
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