Cari Lekebusch — Lehmann Podcast #113 - Cari Lekebusch
Peak Techno · 2h 10m · analysed 22 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, Cari Lekebusch.
In short
Lehmann Podcast #113 - Cari Lekebusch by Cari Lekebusch scores 87/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (95/100) and the weakest is SURPRISE (85/100).
Cari Lekebusch's ability to blend tracks into a singular, evolving rhythmic entity is a testament to his veteran status.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (2:00, 26:00, 31:00, 43:00, 47:00, 51:00). Long loops kill dancefloor momentum.
What to try next
- Introduce more frequent micro-breakdowns to provide rhythmic relief.
- Experiment with subtle melodic elements to add emotional depth.
- Use wider stereo imaging for FX to enhance the immersive atmosphere.
- Maintain the long-blend technique as it is your strongest technical asset.
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 textbook example of a transparent transition. The incoming track's percussion is introduced so subtly that the groove feels like a single evolving entity.
Smooth transition focusing on the mid-frequency textures. The DJ maintains the energy level perfectly while shifting the sonic palette.
Intentional reset
Perfectly executed handover; the new kick pattern emerges without any phase issues.
A masterclass in density; three elements coexist perfectly before a clean high-pass release.
About this peak techno set
Lehmann Podcast #113 - Cari Lekebusch is a peak techno DJ set by Cari Lekebusch, running 2h 10m. It was measured by the SOONOS multi-agent engine and scores 87/100 overall — festival ready.
The engine files this performance as “Promising”.
Cari Lekebusch's ability to blend tracks into a singular, evolving rhythmic entity is a testament to his veteran status.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 95/100; the weakest is SURPRISE at 85/100.
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 60 points, moving between 40 and 94 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 88.3 grid breaks per hour, with a median beat offset of 26 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
Cari Lekebusch's ability to blend tracks into a singular, evolving rhythmic entity is a testament to his veteran status.
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%91
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%85
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%95
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
A textbook example of a transparent transition. The incoming track's percussion is introduced so subtly that the groove feels like a single evolving entity.
Mid-range handover on phrase
Smooth transition focusing on the mid-frequency textures. The DJ maintains the energy level perfectly while shifting the sonic palette.
Perfect Blend
Seamless Layering
Minor EQ Overlap
intentional_reset
Long percussive blend with gradual low-end swap
Perfectly executed handover; the new kick pattern emerges without any phase issues.
Triple-track layering with high-pass filter sweep
A masterclass in density; three elements coexist perfectly before a clean high-pass release.
Technical subscores
91
EQ balance
96
Beat alignment
91
Energy control
96
Tempo stability
91
Loudness control
94
Musical coherence
87
Harmonic compatibility
93
Transition cleanliness
Measured (DSP)
26 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
31 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,751
Boundaries detected
Points where the audio changes track or section.
55
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
136
Clipping events
Moments where the recording hits the ceiling and distorts.
215
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 (2:00, 26:00, 31:00, 43:00, 47:00, 51:00). Long loops kill dancefloor momentum.
Timeline
- 2:30Groove Lock Established
- 8:45Energy Plateau
- 28:30Groove Lock Peak
Coaching notes
- Introduce more frequent micro-breakdowns to provide rhythmic relief.
- Experiment with subtle melodic elements to add emotional depth.
- Use wider stereo imaging for FX to enhance the immersive atmosphere.
- Maintain the long-blend technique as it is your strongest technical asset.
- Experiment with subtle melodic stabs to add a layer of emotional depth.
- Ensure the sub-bass frequencies are strictly managed during the densest layering moments.
- Maintain this level of rhythmic patience; it is a rare and valuable skill.
- Consider introducing a very brief 'reset' moment (silence or pure atmosphere) earlier in the set to make the final drive hit even harder.
- The use of signature vocal outros is highly effective for podcast branding; keep this as a staple.
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 Cari Lekebusch's Lehmann Podcast #113 - Cari Lekebusch get?
- Lehmann Podcast #113 - Cari Lekebusch scores 87/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Lehmann Podcast #113 - Cari Lekebusch?
- The analysed recording runs 2h 10m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 95/100, while SURPRISE is the lowest at 85/100.
- 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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