Airod — Going Backwards - George Libe, Kwartz, Depeche Mode, Jon Hopkins, Airod & more 126 bpm Techno mix
Hard Techno · 1h 11m · 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, Airod.
In short
Going Backwards - George Libe, Kwartz, Depeche Mode, Jon Hopkins, Airod & more 126 bpm Techno mix by Airod scores 74/100 in the SOONOS analysis (solid). The strongest dimension is TECHNIQUE (85/100) and the weakest is SURPRISE (73/100).
The DJ demonstrates a mature understanding of club dynamics, prioritizing groove continuity over flashy tricks.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (26:00, 32:00, 36:00, 44:00, 47:00, 51:00). Long loops kill dancefloor momentum.
What to try next
- Practice longer, more gradual blends to enhance the hypnotic state.
- Use subtle FX like reverb or delay to smooth out quick transitions.
- Experiment with more diverse melodic textures to add emotional layers.
- Monitor output levels closely to ensure consistent loudness across tracks.
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 transition where the incoming kick takes over the sub-frequencies without any phase cancellation.
The 'Going Backwards' vocal is introduced over the existing groove, creating a hybrid moment that feels like a remix.
Perfectly executed transition; the incoming track's sub-bass replaces the outgoing one without a hitch.
Smooth integration of new elements while the energy is momentarily pulled back.
About this hard techno set
Going Backwards - George Libe, Kwartz, Depeche Mode, Jon Hopkins, Airod & more 126 bpm Techno mix is a hard techno DJ set by Airod, running 1h 11m. It was measured by the SOONOS multi-agent engine and scores 74/100 overall — solid.
The engine files this performance as “Promising”.
The DJ demonstrates a mature understanding of club dynamics, prioritizing groove continuity over flashy tricks.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is TECHNIQUE at 85/100; the weakest is SURPRISE at 73/100.
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 32 points, moving between 40 and 88 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 157.9 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
The DJ demonstrates a mature understanding of club dynamics, prioritizing groove continuity over flashy tricks.
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%81
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%78
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%73
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%83
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
Seamless transition where the incoming kick takes over the sub-frequencies without any phase cancellation.
Stem-style layering of vocals
The 'Going Backwards' vocal is introduced over the existing groove, creating a hybrid moment that feels like a remix.
Perfect Blend
Surgical EQ Swap
Minor Phase Drift
Long EQ blend with low-end handover
Perfectly executed transition; the incoming track's sub-bass replaces the outgoing one without a hitch.
Filtered transition during a breakdown
Smooth integration of new elements while the energy is momentarily pulled back.
Technical subscores
85
EQ balance
91
Beat alignment
82
Energy control
93
Tempo stability
84
Loudness control
85
Musical coherence
84
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
20 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
42 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
4,243
Boundaries detected
Points where the audio changes track or section.
80
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
47
Clipping events
Moments where the recording hits the ceiling and distorts.
114
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 (26:00, 32:00, 36:00, 44:00, 47:00, 51:00). Long loops kill dancefloor momentum.
Timeline
- 0:45Atmospheric Hook
- 6:20Vocal Entry
- 11:30Energy Plateau
Coaching notes
- Practice longer, more gradual blends to enhance the hypnotic state.
- Use subtle FX like reverb or delay to smooth out quick transitions.
- Experiment with more diverse melodic textures to add emotional layers.
- Monitor output levels closely to ensure consistent loudness across tracks.
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 Airod's Going Backwards - George Libe, Kwartz, Depeche Mode, Jon Hopkins, Airod & more 126 bpm Techno mix get?
- Going Backwards - George Libe, Kwartz, Depeche Mode, Jon Hopkins, Airod & more 126 bpm Techno mix scores 74/100 in the SOONOS Mix Database (solid), based on audio measurement plus multi-agent listening.
- How long is Going Backwards - George Libe, Kwartz, Depeche Mode, Jon Hopkins, Airod & more 126 bpm Techno mix?
- The analysed recording runs 1h 11m.
- Which part of the mix scores best?
- TECHNIQUE is the strongest category at 85/100, while SURPRISE is the lowest at 73/100.
- 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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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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