advertisement
FYI

Tim Hicks Has Himself Another Hit

The following are tracks delivered to radio by digital distributor DMDS/Yangaroo in Canada and broken down into two categories.

Tim Hicks Has Himself Another Hit

By FYI Staff

The following are tracks delivered to radio by digital distributor DMDS/Yangaroo in Canada and broken down into two categories. Top Downloads represents the most copied tracks in the week ending Feb. 1, and the Most Active Indies blends downloads and streams, with the affiliated label and radio promotions company in parenthesis.


Top Downloads

 

1. Tim Hicks “What A Song Should Do” (Open Road)

2. X Ambassadors “BOOM” (KIDinaKORNER/Interscope/Universal)

3, James Barker Band “Keep It Simple” (Universal)

4. Alessia Cara “Out Of Love” (Def Jam/Universal)

5. Cassiøpeia ft. Boi-1da & KILLY “Better” (Big Machine)

6, Hunter Brothers “Country State Of Mind” (Open Road)

advertisement

7. Cage The Elephant “Ready To Let Go” (RCA)

8. Parker Bossley “Lifted” (23 Ent/Canvas Promo)

9. Backstreet Boys “No Place” (RCA)

10. AJR “100 Bad Days” (Ultra/DMD Promo)

 
Most Active Indies

1. Tim Hicks “What A Song Should Do” (Open Road)

2. Hunter Brothers “Country State Of Mind” (Open Road)

3. Parker Bossley “Lifted” (23 Ent/Canvas Promo)

4. Lucky Rose f. Jordan Hart “Lost” (Ultra/DMD Promo)

5. Andrew Austin “Make My Head Go” (All Ears/RPMpromo)

6. AJR “100 Bad Days” (Ultra/DMD Promo)

7. Stevie Jewel “Siren” (Crown 26)

8. Delaney Jane & Shaun Frank “Throwback” (AWAL/DMD)

9. Black Creek Reign “Now I’m Free” (Indie)

10. Chris Buck Band “Good Ol’ Days” (Royalty/R. Chubey Promo)

advertisement
Lunice
Samuel Pasquier

Lunice

Tech

Drake, The Weeknd, Nemahsis, Tre Mission and More Used in AI-Training Databases: Report

The Atlantic reported that "four giant datasets of songs” — the largest containing 12 million songs — are being shared in the AI music development community, including data from many Canadian acts, including Luna Li, Lunice, Valley and others.

A new data leak is showing artists if their music has been used to train AI models.

Earlier this week, The Atlantic published an AI model-training database that compiles "four giant datasets of songs that are being shared within the AI-development community” — the two largest containing 12 million tracks.

keep readingShow less
advertisement