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I will audit your music environment using acoustic signal analysis
About this Gig
Most business playlists were built on instinct. Nobody measured them.
FYNQ Music audits music environments using acoustic signal analysis not genre, not opinion, not preference. Every finding traces to a measured value.
Across nine completed audits and 25,000+ tracks, the same structural failures appear in gyms, retail stores, restaurants, hotels, and banks: no recovery capacity, no acoustic variation, and no structural support for peak effort moments. The music feels fine. The environment is broken.
What you receive:
Anchor and drive distribution measured against the FYNQ reference corpus
Structural status classification (pass or fail against a defined rule set)
Identification of rest-state deficits, acoustic compression, and imbalance
Prioritized recommendations with specific track-level actions
Written action plan (Standard and Premium)
No genre theory. No subjective opinions. Signal values, thresholds, and findings that hold up to scrutiny.
To get started, share your playlist or track list and the environment type. FYNQ Music handles the rest. Delivered as a structured written report. Calls available on request.
Topic:
Music production
•
Sound design
My Portfolio
FAQ
My current playlist was professionally curated. Why would it need an audit?
Professional curation selects good individual tracks. It does not measure what those tracks are doing collectively over time. Across nine audited environments — all professionally curated — every single one failed at least one structural requirement. The most consistent failure: no genuine recovery
What do I need to provide to get started?
Your playlist or track list and the environment type — gym, retail, restaurant, hotel, or other. FYNQ Music handles all measurement and analysis from there. No technical knowledge required on your end.
How is this different from a music consultant or playlist curator?
FYNQ Music doesn't recommend music based on taste or genre. It measures the acoustic conditions already present in your environment and identifies structural failures using signal data. Every finding traces to a specific measured value — not an opinion.
How do I know the findings are accurate and not just subjective?
Every output is deterministic — the same track produces the same result every time. FYNQ uses fixed signal thresholds, not machine learning or personal taste. The system has been validated across 25,000+ tracks and nine completed environment audits. Every finding cites the specific measured value th
