Sara Landry — Sara Landry - Live @ By the Creek 2026
Hard Techno · 1h 31m · analysed 20 Aug 2026
About this hard techno set
Sara Landry - Live @ By the Creek 2026 is a hard techno DJ set by Sara Landry, running 1h 31m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
This DJ understands that in hard techno, the kick drum is the narrator and the percussion is the dialogue.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 92/100; 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 32 points, moving between 40 and 96 on the SOONOS energy scale — a wide dynamic range across the set.
6 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 815.3 grid breaks per hour, with a median beat offset of 19 ms.
Full SOONOS analysis
This DJ understands that in hard techno, the kick drum is the narrator and the percussion is the dialogue.
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%88
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%84
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%92
IDENTITY
Did the mix sound like you?
Final score capped by measured execution (-) — weighted average was 87.
Energy arc
Transitions analysed (6)
Cinematic drop into industrial kick
Perfectly timed launch from the intro into the main groove.
EQ-based blend with high-pass filtering
Smooth transition maintaining the high-energy drive.
High-pass filter swap with percussive layering
Extremely clean handover of the high-end frequencies, maintaining the drive.
Long percussive blend with mid-range EQ sculpting
Smooth integration of a new rhythmic element over 32 bars.
Perfect Phasing
Minor EQ Overlap
strategic_disruption
Technical subscores
85
EQ balance
93
Beat alignment
91
Energy control
96
Tempo stability
88
Loudness control
89
Musical coherence
81
Harmonic compatibility
87
Transition cleanliness
Measured (DSP)
18.6 ms
Beat-grid drift (median)
180.3 ms
Drift p95
5,450
Boundaries detected
250
Hard cuts / h
8
Clipping events
509
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 (7:30, 13:00, 19:00, 46:00, 54:00, 57:00). Long loops kill dancefloor momentum.
Timeline
- 0:45The Launch
- 8:30Rhythmic Switch
- 14:50Percussive Peak
- 21:15Kick Re-entry
Coaching notes
- Experiment with more dramatic filter sweeps during buildups.
- Introduce a brief, atmospheric breakdown for contrast.
- Incorporate a recognizable vocal hook to further engage the crowd.
- Ensure consistent level management across all tracks.
- Experiment with even more extreme industrial textures during peak moments.
- Use subtle melodic shifts to add emotional depth to the aggression.
- Maintain the high-speed technical precision; it's a core strength.
Curious how your own set scores?
Questions about this analysis
- What score does Sara Landry's Sara Landry - Live @ By the Creek 2026 get?
- Sara Landry - Live @ By the Creek 2026 scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is Sara Landry - Live @ By the Creek 2026?
- The analysed recording runs 1h 31m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 92/100, 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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