Jamie Jones — Hot Robot Radio 234
Tech House · 58 min · analysed 19 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, Jamie Jones.
In short
Hot Robot Radio 234 by Jamie Jones scores 67/100 in the SOONOS analysis (developing). The strongest dimension is IDENTITY (82/100) and the weakest is TECHNIQUE (55/100).
The engine files this performance as “Promising”.
Key takeaways
What weakened the set
- Long static loops (2×) — Sections sitting on the same loop without layering, EQ moves or tension shifts (10:00, 31:00). Long loops kill dancefloor momentum.
What to try next
- Use more dramatic EQ cuts or filter sweeps during transitions to add flair.
- Incorporate tracks with more distinct melodic hooks to improve narrative depth.
- Experiment with varying the transition lengths to keep the listener engaged.
- Ensure breakdowns are long enough to provide a meaningful energy reset.
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, perfectly phrase-aligned.
Smooth transition focusing on percussive elements.
Perfectly executed tech-house transition. The incoming kick replaces the outgoing one without any volume dip or phase issues.
Smooth transition focusing on the vocal elements. The DJ waits for the phrase to end before fully committing to the new track.
Clean high-pass filter usage on the outgoing track to make room for the new groove.
Seamless integration of the new kick drum, perfectly phrase-aligned.
Smooth transition focusing on the percussive elements, maintaining energy.
About this tech house set
Hot Robot Radio 234 is a tech house DJ set by Jamie Jones, running 58 min. It was measured by the SOONOS multi-agent engine and scores 67/100 overall — developing.
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 82/100; the weakest is TECHNIQUE at 55/100.
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 17 points, moving between 30 and 88 on the SOONOS energy scale — a wide dynamic range across the set.
7 transitions were detected and scored individually.
Beat-grid measurement (DSP) reports 2650.2 grid breaks per hour, with a median beat offset of 202 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%55
TECHNIQUE
How well did you execute?
STORYTELLING
Did the mix go somewhere?
25%79
STORYTELLING
Did the mix go somewhere?
ENERGY
Did you control the room?
20%77
ENERGY
Did you control the room?
SURPRISE
Did you remain unpredictable?
15%72
SURPRISE
Did you remain unpredictable?
IDENTITY
Did the mix sound like you?
15%82
IDENTITY
Did the mix sound like you?
Energy arc
Transitions analysed (7)
Long EQ blend with low-end swap
Seamless transition, perfectly phrase-aligned.
Mid-range focused blend
Smooth transition focusing on percussive elements.
Long EQ blend with low-end swap
Perfectly executed tech-house transition. The incoming kick replaces the outgoing one without any volume dip or phase issues.
Mid-range focused blend
Smooth transition focusing on the vocal elements. The DJ waits for the phrase to end before fully committing to the new track.
Filter-assisted swap
Clean high-pass filter usage on the outgoing track to make room for the new groove.
Long EQ blend
Seamless integration of the new kick drum, perfectly phrase-aligned.
Mid-frequency swap
Smooth transition focusing on the percussive elements, maintaining energy.
Technical subscores
86
EQ balance
93
Beat alignment
81
Energy control
95
Tempo stability
84
Loudness control
84
Musical coherence
86
Harmonic compatibility
90
Transition cleanliness
Measured (DSP)
202 ms
Beat-grid drift (median)
Typical gap between the two tracks' beats while they play together. Lower is tighter.
204 ms
Drift p95
Worst-case drift: 95% of the set stays tighter than this value.
3,473
Boundaries detected
Points where the audio changes track or section.
138
Hard cuts / h
Abrupt track changes per hour, with no blend between the two records.
3
Clipping events
Moments where the recording hits the ceiling and distorts.
256
Level jumps
Sudden volume steps between tracks.
Measurement confidence 100% · analysed on the full audio.
Recurring patterns
Long static loops (2×)
Sections sitting on the same loop without layering, EQ moves or tension shifts (10:00, 31:00). Long loops kill dancefloor momentum.
Timeline
- 0:45Groove Entry
- 5:20Energy Plateau
- 15:10Groove Lock
- 19:20Energy Plateau
- 26:30Energy Plateau
Coaching notes
- Use more dramatic EQ cuts or filter sweeps during transitions to add flair.
- Incorporate tracks with more distinct melodic hooks to improve narrative depth.
- Experiment with varying the transition lengths to keep the listener engaged.
- Ensure breakdowns are long enough to provide a meaningful energy reset.
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 Jamie Jones's Hot Robot Radio 234 get?
- Hot Robot Radio 234 scores 67/100 in the SOONOS Mix Database (developing), based on audio measurement plus multi-agent listening.
- How long is Hot Robot Radio 234?
- The analysed recording runs 58 min.
- Which part of the mix scores best?
- IDENTITY is the strongest category at 82/100, while TECHNIQUE is the lowest at 55/100.
- 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.
More Jamie Jones sets analysed
Similar tech house sets
- Solardo — Solardo presents The Spot #04367
- Solardo — Solardo Live @ Elrow Ibiza 24.06.2469
- Ilario Alicante — Ilario Alicante Space Miami 2-21-2670
- Chris Lake — Chris Lake LIVE from Brooklyn Storehouse 2025 _ Chemistry Release Weekend [mHp7y-9oKOk]60
- Marco Carola — Live at BPM Festival - January 10 201679
- Patrick Topping — Patrick Topping Live at Forbidden Forest UK 202681
- Patrick Topping — Patrick Topping @ EDC Las Vegas 202382
- Patrick Topping — Patrick Topping @ Elrow Presents Paradise, Elrow Barcelona - 19 July 201584
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.
Guides: How SOONOS works · DJ guides and research