Indira Paganotto — INDIRA PAGANOTTO : EXIT FESTIVAL 2023 @ Dance Arena Closing Set
Hard Techno · 2h 21m · Exit Festival · 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 : EXIT FESTIVAL 2023 @ Dance Arena Closing Set by Indira Paganotto scores 86/100 in the SOONOS analysis (festival ready). The strongest dimension is IDENTITY (94/100) and the weakest is TECHNIQUE (82/100).
Indira Paganotto proves why she is a mainstage staple, delivering a set that is as technically sound as it is physically demanding.
Key takeaways
What worked
- Unmistakable artistic identity
- Exceptional energy management
- Technical precision in high-BPM mixing
- Exceptional energy management
What weakened the set
- Long static loops (6×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (14:00, 18:30, 29:30, 35:00, 41:00, 82:00). Long loops kill dancefloor momentum.
What to try next
- Continue integrating high-BPM psy-trance elements to maintain a unique sonic identity.
- Experiment with brief atmospheric breakdowns to create even larger energy payoffs.
- Maintain the aggressive EQ style as it perfectly suits the large-scale festival environment.
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.
Seamless transition maintaining the driving energy of the psy-bassline.
Smooth introduction of new melodic elements, enhancing the euphoric atmosphere.
Perfectly timed low-end replacement that maintains the driving energy.
Smoothly introduces psy-trance elements while filtering out the previous track's low end.
Seamless transition into a rolling psy-techno groove. Phrasing is perfect.
Precise management of mid-range frequencies during a dense layering phase.
Uses a breakdown to swap tracks, maximizing the impact of the subsequent drop.
About this hard techno set
INDIRA PAGANOTTO : EXIT FESTIVAL 2023 @ Dance Arena Closing Set is a hard techno DJ set by Indira Paganotto, running 2h 21m. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.
The engine files this performance as “Promising”.
Indira Paganotto proves why she is a mainstage staple, delivering a set that is as technically sound as it is physically demanding.
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 82/100.
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 54 points, moving between 70 and 98 on the SOONOS energy scale — a moderate dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 714.2 grid breaks per hour, with a median beat offset of 24 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
Indira Paganotto proves why she is a mainstage staple, delivering a set that is as technically sound as it is physically demanding.
The 8 dimensions
Not available — the 8-dimension profile was not measured for this set.
Score breakdown
TECHNIQUE
How well did you execute?
25%82
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%93
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%89
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%85
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 blend with low-end swap
Seamless transition maintaining the driving energy of the psy-bassline.
Melodic layering and filter sweep
Smooth introduction of new melodic elements, enhancing the euphoric atmosphere.
Aggressive EQ swap on the 1
Perfectly timed low-end replacement that maintains the driving energy.
Long high-pass filter blend
Smoothly introduces psy-trance elements while filtering out the previous track's low end.
Long percussive blend with low-end swap
Seamless transition into a rolling psy-techno groove. Phrasing is perfect.
EQ-focused blend during high-energy section
Precise management of mid-range frequencies during a dense layering phase.
Breakdown transition with high-pass filter
Uses a breakdown to swap tracks, maximizing the impact of the subsequent drop.
Technical subscores
87
EQ balance
94
Beat alignment
93
Energy control
96
Tempo stability
89
Loudness control
89
Musical coherence
84
Harmonic compatibility
88
Transition cleanliness
Measured (DSP)
24 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
189 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
8,434
Boundaries detected
Points where the audio changes track or section.
234
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
142
Clipping events
Moments where the recording hits the ceiling and distorts.
690
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 (14:00, 18:30, 29:30, 35:00, 41:00, 82:00). Long loops kill dancefloor momentum.
What SOONOS heard
- Unmistakable artistic identity
- Exceptional energy management
- Technical precision in high-BPM mixing
- Exceptional energy management
- Clear artistic identity
- Precise technical execution
Timeline
- 2:15Energy Reset Breakdown
- 5:45Peak Energy Drop
- 10:20Atmospheric Shift
- 18:15The Silence Gap
- 20:45Percussive Overload
- 28:45Masterful Tension Release
Coaching notes
- Continue integrating high-BPM psy-trance elements to maintain a unique sonic identity.
- Experiment with brief atmospheric breakdowns to create even larger energy payoffs.
- Maintain the aggressive EQ style as it perfectly suits the large-scale festival environment.
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 : EXIT FESTIVAL 2023 @ Dance Arena Closing Set get?
- INDIRA PAGANOTTO : EXIT FESTIVAL 2023 @ Dance Arena Closing Set scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
- How long is INDIRA PAGANOTTO : EXIT FESTIVAL 2023 @ Dance Arena Closing Set?
- The analysed recording runs 2h 21m.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 94/100, 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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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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