Indira Paganotto — INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage
Hard Techno · 1h 59m · Tomorrowland · 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, Indira Paganotto.
In short
INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage by Indira Paganotto scores 84/100 in the SOONOS analysis (club ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (77/100).
The DJ's ability to maintain a relentless, high-octane groove while effectively managing energy levels is a testament to their professional skill.
Key takeaways
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (30:00, 38:42, 60:00, 64:00, 70:00, 107:00). Long loops kill dancefloor momentum.
What to try next
- Experiment with more varied melodic textures to add depth to the mix.
- Utilize longer, more gradual builds to further heighten the impact of drops.
- Incorporate more recognizable vocal hooks to further engage the audience.
- Ensure that the overall loudness is balanced to avoid listener fatigue.
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.
Perfectly timed bass handover, maintaining the driving momentum.
High-pass filter used to build tension before dropping into the next track's main groove.
Strategic disruption
Smooth introduction of the next track's percussion while maintaining the current groove.
High-impact transition that perfectly aligns the energy peak of both tracks.
About this hard techno set
INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage is a hard techno DJ set by Indira Paganotto, running 1h 59m. It was measured by the SOONOS multi-agent engine and scores 84/100 overall — club ready.
The engine files this performance as “Promising”.
The DJ's ability to maintain a relentless, high-octane groove while effectively managing energy levels is a testament to their professional skill.
How the score breaks down
SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is TECHNIQUE at 77/100.
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 27 points, moving between 80 and 96 on the SOONOS energy scale — a narrow dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 798.7 grid breaks per hour, with a median beat offset of 23 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's ability to maintain a relentless, high-octane groove while effectively managing energy levels is a testament to their professional skill.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%77
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%92
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%94
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
EQ-based low-end swap
Perfectly timed bass handover, maintaining the driving momentum.
Filter sweep and drop swap
High-pass filter used to build tension before dropping into the next track's main groove.
Perfect Blend
Minor EQ Overlap
strategic_disruption
Power Swap
Long EQ blend with high-pass filtering
Smooth introduction of the next track's percussion while maintaining the current groove.
Drop swap on phrase
High-impact transition that perfectly aligns the energy peak of both tracks.
Technical subscores
87
EQ balance
94
Beat alignment
93
Energy control
96
Tempo stability
87
Loudness control
89
Musical coherence
85
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
23 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
197 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
7,145
Boundaries detected
Points where the audio changes track or section.
297
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
25
Clipping events
Moments where the recording hits the ceiling and distorts.
582
Level jumps
Sudden volume steps between tracks.
Measurement confidence 99% · analysed on the full audio.
Recurring patterns
Long static loops (6×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (30:00, 38:42, 60:00, 64:00, 70:00, 107:00). Long loops kill dancefloor momentum.
Timeline
- 28:15Psy-Techno Pivot
Coaching notes
- Experiment with more varied melodic textures to add depth to the mix.
- Utilize longer, more gradual builds to further heighten the impact of drops.
- Incorporate more recognizable vocal hooks to further engage the audience.
- Ensure that the overall loudness is balanced to avoid listener fatigue.
- Experiment with more complex FX layering during transitions.
- Incorporate tracks with more organic percussive textures to contrast the industrial elements.
- Use longer, more atmospheric breakdowns to heighten the impact of the drops.
- Ensure the master EQ is adjusted to mitigate harshness at peak energy levels.
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 Indira Paganotto's INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage get?
- INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage scores 84/100 in the SOONOS Mix Database (club ready), based on audio measurement plus multi-agent listening.
- How long is INDIRA PAGANOTTO : Tomorrowland @ Atmosphere Stage?
- The analysed recording runs 1h 59m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, while TECHNIQUE is the lowest at 77/100.
- 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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- Indira Paganotto presents Pan-Pot : Maxximum Radio, Paris84
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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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