Praslea — Podcast 036 / DF Sánchez (Colombia) Recorded live @ warm up for Praslea & Cezar
Indie House · 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, Praslea.
In short
Podcast 036 / DF Sánchez (Colombia) Recorded live @ warm up for Praslea & Cezar by Praslea scores 78/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (89/100) and the weakest is SURPRISE (79/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 4:00, 10:00, 27:00, 33:00, 35:00). Long loops kill dancefloor momentum.
What to try next
- Maintain the current level of technical precision in long blends.
- Experiment with slightly more aggressive filter work during transitions to signal changes to the floor.
- Curate tracks with more organic textures to provide contrast to the digital precision.
- Maintain the current level of restraint; it is your greatest strength in this genre.
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.
Masterful transparency; the tracks become one for a significant period.
Smooth introduction of the new track's mid-range elements.
Masterful patience. The tracks coexist for over a minute without any frequency clashing.
Smooth transition that prioritizes the groove's texture over a hard drop.
A textbook minimal transition. The incoming track's percussion is introduced so subtly it feels like a natural evolution of the first track.
About this indie house set
Podcast 036 / DF Sánchez (Colombia) Recorded live @ warm up for Praslea & Cezar is a indie house DJ set by Praslea, running 1h 56m. It was measured by the SOONOS multi-agent engine and scores 78/100 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 89/100; the weakest is SURPRISE at 79/100.
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 66 points, moving between 30 and 80 on the SOONOS energy scale — a wide dynamic range across the set.
5 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 329.6 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 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%83
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%83
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%82
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%79
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 (5)
Long EQ blend, low-end swap over 32 bars
Masterful transparency; the tracks become one for a significant period.
High-pass filter transition with vocal layering
Smooth introduction of the new track's mid-range elements.
Long EQ blend, subtle low-end swap
Masterful patience. The tracks coexist for over a minute without any frequency clashing.
Mid-frequency focused blend
Smooth transition that prioritizes the groove's texture over a hard drop.
64-bar EQ blend, seamless low-end handover
A textbook minimal transition. The incoming track's percussion is introduced so subtly it feels like a natural evolution of the first track.
Technical subscores
86
EQ balance
93
Beat alignment
85
Energy control
94
Tempo stability
84
Loudness control
90
Musical coherence
87
Harmonic compatibility
90
Transition cleanliness
Measured (DSP)
26 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
143 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
6,970
Boundaries detected
Points where the audio changes track or section.
79
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
396
Clipping events
Moments where the recording hits the ceiling and distorts.
472
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 (0:00, 4:00, 10:00, 27:00, 33:00, 35:00). Long loops kill dancefloor momentum.
Timeline
- 4:30Groove Lock
- 9:45Atmospheric Shift
- 15:30Groove Lock
- 22:10Atmospheric Shift
- 25:15Groove Lock Achievement
- 30:00Subtle Energy Shift
Coaching notes
- Maintain the current level of technical precision in long blends.
- Experiment with slightly more aggressive filter work during transitions to signal changes to the floor.
- Curate tracks with more organic textures to provide contrast to the digital precision.
- Maintain the current level of restraint; it is your greatest strength in this genre.
- Experiment with very subtle field recordings or organic textures to further distinguish your sound.
- Consider a brief, beatless atmospheric bridge to reset the listener's ears before the next hour.
- Ensure the transition into the peak-time phase remains as smooth as these warm-up blends.
- Experiment with very subtle delay/reverb sends on percussive elements to add depth.
- Maintain the current level of restraint; it is your strongest asset.
- Consider a slightly more 'hooky' track around the 75-minute mark to prepare for the main act.
- Maintain this level of technical precision.
- Experiment with very subtle high-pass filter movements to create micro-tension.
- Consider a 'reset' moment with a longer breakdown to refresh the listener's ears.
- Continue to master the art of the 'invisible transition'.
- Use subtle atmospheric layers to add emotional depth to the percussive grooves.
- Experiment with longer, 64-bar blends to further enhance the hypnotic effect.
- Use longer filter sweeps to add tension.
- Introduce subtle melodic elements to enhance the emotional arc.
- Experiment with brief silences to reset the crowd's ears.
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 Praslea's Podcast 036 / DF Sánchez (Colombia) Recorded live @ warm up for Praslea & Cezar get?
- Podcast 036 / DF Sánchez (Colombia) Recorded live @ warm up for Praslea & Cezar scores 78/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is Podcast 036 / DF Sánchez (Colombia) Recorded live @ warm up for Praslea & Cezar?
- The analysed recording runs 1h 56m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 89/100, while SURPRISE is the lowest at 79/100.
- 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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