TRYM — TRYM - Unreal X Bootshaus
Hard Techno · 1h 56m · analysed 25 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, TRYM.
In short
TRYM - Unreal X Bootshaus by TRYM scores 82/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (89/100) and the weakest is TECHNIQUE (78/100).
The DJ treats the mix as a single, evolving industrial machine rather than a sequence of individual tracks.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (6:00, 10:00, 12:00, 27:00, 31:00, 35:00). Long loops kill dancefloor momentum.
What to try next
- Introduce a 32-bar atmospheric breakdown to provide a palette cleanser for the ears.
- Experiment with subtle polyrhythmic layering to add complexity to the hypnotic loops.
- Use a high-pass filter sweep more aggressively during builds to accentuate the low-end impact on the drop.
- Experiment with a 'fake-out' silence before the final melodic drop to increase crowd tension.
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 with precise timing on the kick handover.
High-impact transition that perfectly maintains the momentum.
Tight transition with precise timing on the kick swap, maintaining the driving momentum.
Quick transition that uses filtering to clear space for the incoming track's mid-range energy.
Smooth integration of the incoming industrial loop over the outgoing vocal tail.
A bold transition that slightly jars the low-end energy for a split second.
About this hard techno set
TRYM - Unreal X Bootshaus is a hard techno DJ set by TRYM, running 1h 56m. It was measured by the SOONOS multi-agent engine and scores 82/100 overall — club ready.
The engine files this performance as “Promising”.
The DJ treats the mix as a single, evolving industrial machine rather than a sequence of individual tracks.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 89/100; the weakest is TECHNIQUE at 78/100.
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 54 points, moving between 40 and 98 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 760.1 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
The DJ treats the mix as a single, evolving industrial machine rather than a sequence of individual tracks.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%78
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%89
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (6)
EQ-based low-end swap
Smooth transition with precise timing on the kick handover.
Fast cut on the phrase
High-impact transition that perfectly maintains the momentum.
EQ-based low-end swap
Tight transition with precise timing on the kick swap, maintaining the driving momentum.
Fast layering with high-pass filter
Quick transition that uses filtering to clear space for the incoming track's mid-range energy.
Long EQ blend with high-pass filter swap
Smooth integration of the incoming industrial loop over the outgoing vocal tail.
Fast cut on the 1
A bold transition that slightly jars the low-end energy for a split second.
Technical subscores
84
EQ balance
91
Beat alignment
91
Energy control
93
Tempo stability
85
Loudness control
85
Musical coherence
81
Harmonic compatibility
85
Transition cleanliness
Measured (DSP)
26 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
183 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
6,935
Boundaries detected
Points where the audio changes track or section.
237
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
94
Clipping events
Moments where the recording hits the ceiling and distorts.
535
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 (6:00, 10:00, 12:00, 27:00, 31:00, 35:00). Long loops kill dancefloor momentum.
Timeline
- 0:15Atmospheric Hook
- 4:15Energy Peak
- 16:45Peak Energy Drop
- 21:15Tension Plateau
- 25:15Vocal Peak
- 29:30Mid-Range Clutter
- 26:50Risky pressure or vibe dip
Coaching notes
- Introduce a 32-bar atmospheric breakdown to provide a palette cleanser for the ears.
- Experiment with subtle polyrhythmic layering to add complexity to the hypnotic loops.
- Use a high-pass filter sweep more aggressively during builds to accentuate the low-end impact on the drop.
- Experiment with a 'fake-out' silence before the final melodic drop to increase crowd tension.
- Slightly reduce the 2kHz range on the industrial stabs at 109:00 to create more space for the upcoming vocal.
- Use a wider stereo image for the final vocal track to enhance the 'stadium' feel.
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 TRYM's TRYM - Unreal X Bootshaus get?
- TRYM - Unreal X Bootshaus scores 82/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is TRYM - Unreal X Bootshaus?
- The analysed recording runs 1h 56m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 89/100, while TECHNIQUE is the lowest at 78/100.
- 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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