Jan BlomqvistJan Blomqvist - Blomqvist and Dammann - ADE Radio Slam Podcast

    Melodic Techno · 59 min · analysed 23 Aug 2026

    Overall score
    86/100
    Level
    festival ready
    Duration
    59 min
    Genre
    Melodic Techno

    About this melodic techno set

    Jan Blomqvist - Blomqvist and Dammann - ADE Radio Slam Podcast is a melodic techno DJ set by Jan Blomqvist, running 59 min. It was measured by the SOONOS multi-agent engine and scores 86/100 overall — festival ready.

    The engine files this performance as “Promising”.

    This DJ understands that in melodic techno, what you don't do is often as important as what you do.

    How the score breaks down

    SOONOS scores this set across 5 weighted categories. The strongest is IDENTITY at 94/100; the weakest is SURPRISE at 86/100.

    The final score is capped by measured -: the DSP layer overrides the listening layer whenever it measures an execution issue directly in the audio.

    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 18 points, moving between 40 and 90 on the SOONOS energy scale — a wide dynamic range across the set.

    4 transitions were detected and scored individually.

    Beat-grid measurement (DSP) reports 365.5 grid breaks per hour, with a median beat offset of 20 ms.

    Listen to the original set

    Full SOONOS analysis

    TECSELNRGCRWHRMGRVCRESIG
    0

    This DJ understands that in melodic techno, what you don't do is often as important as what you do.

    The 8 dimensions

    Technical precision0
    Track selection0
    Energy arc0
    Crowd control0
    Harmonic depth0
    Groove patience0
    Creativity0
    Signature0

    Score breakdown

    TECHNIQUE

    How well did you execute?

    25%88
    Beat Alignmentmeasured82
    Transition Qualitymeasured87
    Phrase Accuracymeasured94
    EQ & Frequency Control (estimated)measured90
    Tempo Stability (estimated)measured95
    Technical Cleanlinessmeasured80

    STORYTELLING

    Did the mix go somewhere?

    25%91
    Narrative ArcAI95
    ProgressionAI89
    Tension & ReleaseAI88
    Section AwarenessAI92
    Flow ContinuityAI95
    PayoffAI85

    ENERGY

    Did you control the room?

    20%91
    Energy Curvemeasured92
    PacingAI93
    MomentumAI90
    Peak ManagementAI90
    Energy HandoffAI89
    Fatigue ControlAI87

    SURPRISE

    Did you remain unpredictable?

    15%86
    Unexpected MomentsAI83
    ContrastAI85
    Transition Varietymeasured93
    Selection RiskAI88
    FreshnessAI82
    Surprise ControlAI83

    IDENTITY

    Did the mix sound like you?

    15%94
    Selection QualityAI92
    Identity ConsistencyAI97
    IntentionalityAI95
    ConfidenceAI92
    RestraintAI93
    SignatureAI95

    Final score capped by measured execution (-) — weighted average was 90.

    Energy arc

    00:0059:24

    Transitions analysed (4)

    05:48

    Long EQ blend with high-pass filtering

    A textbook melodic techno transition. The incoming track's atmosphere is introduced so subtly that the change is felt rather than heard.

    92
    15:12

    64-bar EQ blend with harmonic layering

    An invisible transition where the two tracks form a temporary third composition. The bass handover is surgical.

    96
    22:45

    Long filter sweep and EQ swap

    Smooth transition utilizing high-pass filters to clear space for the incoming track's low end.

    92
    26:42

    Long EQ blend with low-end swap on phrase

    Perfectly executed handover, maintaining the groove without any audible dip in energy.

    92

    Technical subscores

    90

    EQ balance

    96

    Beat alignment

    89

    Energy control

    95

    Tempo stability

    88

    Loudness control

    94

    Musical coherence

    96

    Harmonic compatibility

    92

    Transition cleanliness

    Measured (DSP)

    19.5 ms

    Beat-grid drift (median)

    161.9 ms

    Drift p95

    3,547

    Boundaries detected

    34

    Hard cuts / h

    3

    Clipping events

    227

    Level jumps

    Measurement confidence 100% · analysed on the full audio.

    Recurring patterns

    • Long static loops (5×)

      Sections sitting on the same loop without layering, EQ moves or tension shifts (0:00, 8:15, 36:00, 42:00, 52:30). Long loops kill dancefloor momentum.

    What SOONOS heard

    • Exceptional technical cleanliness.
    • Sophisticated track selection.
    • Masterful narrative pacing.
    • Seamless, musical transitions.
    • Strong emotional resonance.
    • Exceptional thematic consistency.

    Timeline

    • 04:15Atmospheric Peak
    • 09:30Groove Consolidation
    • 15:50Vocal Peak
    • 19:30Groove Lock

    Coaching notes

    • Experiment with live elements or unique vocal samples to further distinguish your sound.
    • Maintain this high level of technical precision in all future recordings.
    • Explore slightly more aggressive energy shifts in longer sets to provide more contrast.
    Listen on SoundCloud

    Curious how your own set scores?

    Questions about this analysis

    What score does Jan Blomqvist's Jan Blomqvist - Blomqvist and Dammann - ADE Radio Slam Podcast get?
    Jan Blomqvist - Blomqvist and Dammann - ADE Radio Slam Podcast scores 86/100 in the SOONOS Mix Database (festival ready), based on audio measurement plus multi-agent listening.
    How long is Jan Blomqvist - Blomqvist and Dammann - ADE Radio Slam Podcast?
    The analysed recording runs 59 min.
    Which part of the mix scores best?
    IDENTITY is the strongest category at 94/100, while SURPRISE is the lowest at 86/100.
    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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