Stop drowning
in data.
Start finding
meaning.
SceneScan surfaces independent artists 4–8 weeks before they hit the algorithm — tracking how sounds mutate week to week, so you always know not just what’s emerging, but how it’s changing and why it matters.
How SceneScan works
Six layers of intelligence, converging every week into one Discovery Brief.
What you actually receive
A real Discovery Brief — artist details redacted. The format, the depth, and the cultural context are all exactly as delivered to subscribers.
Subscribe to unlock all artists, full narratives, comparable artists, and PDF export.
Get full accessA cultural weather report
A genre defined once becomes a Wikipedia entry. SceneScan tracks how genres mutate — week by week — so your intelligence compounds rather than expires.
Built for the people finding artists
coming soon
loading…
in progress
Dr. William E. Smith
SceneScan was born from a simple but urgent observation: A&Rs and Music Supervisors are drowning in data but starving for context. The tools exist to tell you what is trending. None of them tell you why — and in the music industry, why is everything.
“I created SceneScan to solve the Meaning Problem. Raw metrics tell you a number. Cultural intelligence tells you a story.”
With a PhD in Ethnomusicology and over two decades at the intersection of cultural artistry and digital innovation, Dr. Smith brings academic rigour to commercial discovery. His research into the rituals of music-making — documented in Hip Hop as Performance and Ritual and Making Money in the Music Business — informs SceneScan’s proprietary cultural analysis layer.
As leader of the internationally acclaimed W.E.S. Group, Dr. Smith has performed on global jazz stages. His compositions have been placed in major productions including The Voice, Fox Sports, and The Late Show with Stephen Colbert — giving him a music supervisor’s perspective on what makes a placement-ready artist and a genuinely distinctive sound.
Frequently asked
Invest in discovery
No credit card required to start.
- Weekly Macro-Charts (Kworb-style data)
- One Micro-Scene alert per week
- Genre-level trend visibility
- Platform-wide streaming momentum
- Everything in Enthusiast
- Weekly Discovery Brief PDF
- 10–15 artists per brief
- Single genre focus
- Signing status filter
- Cultural narrative per artist
- 5 comparable artists per entry
- Everything in Scout
- 30–50 artists per brief
- Multiple genre pipelines
- Live dashboard access
- Full cultural narrative layer
- CSV data export
- Mid-week dashboard updates
