Sara Landry — Sara Landry - Awakenings Festival 2025
Hard Techno · 1h 30m · Awakenings · analysed 20 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, Sara Landry.
In short
Sara Landry - Awakenings Festival 2025 by Sara Landry scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (93/100) and the weakest is TECHNIQUE (75/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (1×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (34:00). Long loops kill dancefloor momentum.
- Beat alignment needs work — typical drift of 30 ms — Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.
What to try next
- Experiment with more dramatic filter sweeps during long blends to enhance the 'live' feel.
- Consider a brief melodic motif in the final track to provide a sense of emotional resolution.
- Maintain the current level of technical precision; it is a major strength.
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.
Intentional reset
Strategic disruption
Strategic disruption
About this hard techno set
Sara Landry - Awakenings Festival 2025 is a hard techno DJ set by Sara Landry, running 1h 30m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.
The engine files this performance as “Promising”.
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 75/100.
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 22 points, moving between 85 and 98 on the SOONOS energy scale — a narrow dynamic range across the set.
8 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 1273.0 grid breaks per hour, with a median beat offset of 30 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 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%75
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%84
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%80
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%93
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (8)
Perfect Blend
Minor EQ Overlap
Strategic Drop Swap
intentional_reset
Perfect Blend
Minor EQ Overlap
strategic_disruption
Clean Drop Swap
Perfect EQ Swap
Minor Mid Clash
strategic_disruption
Technical subscores
85
EQ balance
92
Beat alignment
93
Energy control
95
Tempo stability
89
Loudness control
88
Musical coherence
81
Harmonic compatibility
85
Transition cleanliness
Measured (DSP)
30 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
343 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
5,380
Boundaries detected
Points where the audio changes track or section.
240
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
77
Clipping events
Moments where the recording hits the ceiling and distorts.
526
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (1×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (34:00). Long loops kill dancefloor momentum.
Beat alignment needs work — typical drift of 30 ms
Measured median beat-grid drift is 30 ms across the transitions. Reference: pro ≤ 25 ms, needs work 30-42 ms, must be reworked > 42 ms. Above ~30 ms the kick flams and dancers feel the blend slipping.
Coaching notes
- Experiment with more dramatic filter sweeps during long blends to enhance the 'live' feel.
- Consider a brief melodic motif in the final track to provide a sense of emotional resolution.
- Maintain the current level of technical precision; it is a major strength.
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 Sara Landry's Sara Landry - Awakenings Festival 2025 get?
- Sara Landry - Awakenings Festival 2025 scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Sara Landry - Awakenings Festival 2025?
- The analysed recording runs 1h 30m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 93/100, while TECHNIQUE is the lowest at 75/100.
- 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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