Methodology
How public radio metadata becomes reliable music intelligence.
We collect openly available radio data, process it with transparent methods, and apply conservative matching to create accurate, trustworthy charts and insights for African music.
Open data.
Real impact.
Turning public broadcasts into a clearer picture of African music.
Our approach in three steps
From live radio to trusted insights.
Collect
We record and process publicly available radio metadata from stations across East Africa, 24/7.
Match
Our systems match and verify tracks, artists and stations for clean, consistent data.
Understand
We generate charts, station insights and artist intelligence built on real airplay.
The data journey
From station broadcasts to published intelligence.
Public station metadata
Raw dataNormalization
Cleaned dataCatalog matching
Matched dataConfidence checks
Verified dataPublished charts and analytics
Live on siteData sources
View sourcesWe ingest publicly available metadata from official radio stations across East Africa.
Conservative matching
We use multiple matching signals and human review for edge cases. When we're not confident, we don't guess.
(more risk)Higher precision
(our approach)
It's better to have fewer, correct plays than more, uncertain ones.
Honest empty states
If a station, artist or time period has no verifiable data, we show an honest empty state — not an estimate.
No verified data yet
We'll show data here once we've collected and verified enough radio airplay from this station.
A transparent and trustworthy foundation
Built on integrity, designed for long-term impact.
Open methodology
Our methods, sources and logic are documented.
Public data only
We use openly available radio data from official sources.
Conservative matching
We prioritise precision over scale to avoid false attributions.
Honest empty states
We show real data, not estimates or made-up numbers.
Built for the region
Designed for African radio, African artists and real impact.
Publication standards
Our charts and insights are published according to clear standards to ensure accuracy, consistency and fairness.
- Minimum data quality thresholds
- Conservative matching rules
- Regular data audits
- Clear chart time windows (e.g. weekly)
- Transparent methodology
- Ongoing improvements and feedback
Reliable data. A brighter future for African music.
Same data, deeper insights. Explore our charts and discover what's playing across the region.