Sara Landry — SARA LANDRY (LIVE SET) @ DEF: THE BOILER
Hard Techno · 2h 30m · analysed 20 Aug 2026
About this hard techno set
SARA LANDRY (LIVE SET) @ DEF: THE BOILER is a hard techno DJ set by Sara Landry, running 2h 30m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
Sara Landry proves that high-BPM techno can be as narrative and emotionally resonant as any other genre when handled with this level of intentionality.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 93/100; the weakest is TECHNIQUE at 82/100.
The final score is capped by measured -: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.
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 52 points, moving between 75 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.
8 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 415.8 grid breaks per hour, with a median beat offset of 21 ms.
Full SOONOS analysis
Sara Landry proves that high-BPM techno can be as narrative and emotionally resonant as any other genre when handled with this level of intentionality.
The 8 dimensions
Score breakdown
TECHNIQUE
How well did you execute?
25%82
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%86
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%83
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 87.
Energy arc
Transitions analysed (8)
Hard cut on vocal hook
Perfectly timed drop that maximizes crowd impact.
Long EQ blend
Smooth transition between two high-energy industrial tracks.
Perfect phrase swap
Minor EQ overlap
intentional_reset
High-energy blend
Industrial texture handover
Perfect Blend
Minor EQ Overlap
strategic_disruption
Technical subscores
84
EQ balance
92
Beat alignment
92
Energy control
95
Tempo stability
88
Loudness control
90
Musical coherence
78
Harmonic compatibility
86
Transition cleanliness
Measured (DSP)
20.9 ms
Beat-grid drift (median)
139.5 ms
Drift p95
8,980
Boundaries detected
244
Hard cuts / h
71
Clipping events
778
Level jumps
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 (5:00, 38:00, 46:00, 53:30, 73:00, 79:00). Long loops kill dancefloor momentum.
Timeline
- 2:15Vocal Hook Drop
- 9:30Industrial Breakdown
Coaching notes
- Incorporate more dynamic use of silence to create 'vacuum' drops.
- Experiment with layering a contrasting melodic element briefly to add emotional depth.
- Ensure high-frequency clarity when layering multiple tracks with dense hi-hat patterns.
- Experiment with longer, more atmospheric breakdowns to contrast the high-intensity sections.
- Utilize more human-centric elements (vocals, organic textures) to add a layer of vulnerability to the industrial sound.
- Continue to push the boundaries of BPM while maintaining the clarity and punch of the low-end.
Curious how your own set scores?
Questions about this analysis
- What score does Sara Landry's SARA LANDRY (LIVE SET) @ DEF: THE BOILER get?
- SARA LANDRY (LIVE SET) @ DEF: THE BOILER scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is SARA LANDRY (LIVE SET) @ DEF: THE BOILER?
- The analysed recording runs 2h 30m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, while TECHNIQUE is the lowest at 82/100.
- 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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