Fast N' Loud
BAD!
Moonlight
SAD!
changes
Hope
Everybody Dies In Their Nightmares
Fuck Love
@danielvieira067

Todas

by @danielvieira067Influencer·335 followers
20 music
20 music curated by a Influencer with 335 followers
📦 Items
20
🎭 Top genre
Acción
👤 Curator
@danielvieira067
This collection contains 20 music. Top genres: Acción, Crimen, Suspense. Available on prime_video (4), movistar (3), hbo (1). Curated by @danielvieira067.

Genres

Acción 5Crimen 4Suspense 3Reality 1Aventura 1Historia 1

Where to watch

prime_videoPrime_video4movistarMovistar3hboHbo1netflixNetflix1

All (20)

Fast N' Loud
Fast N' Loud
Reality
BAD!
BAD!
Moonlight
Moonlight
SAD!
SAD!
changes
changes
Hope
Hope
Everybody Dies In Their Nightmares
Everybody Dies In Their Nightmares
Fuck Love
Fuck Love
Fast & Furious 8
Fast & Furious 8
Crimen, Acción
Fast & Furious 5
Fast & Furious 5
Crimen, Acción
Fast & Furious 7
Fast & Furious 7
Crimen, Acción
Fast & Furious 9
Fast & Furious 9
Crimen, Aventura

About the curator

@danielvieira067
@danielvieira067
Influencer · 335 followers · 48 recs · 10 collections

Frequently asked questions

What is "Todas"?+
"Todas" is a curated collection of 20 music by @danielvieira067, a Influencer on Peoople with 335 followers.
Who created this collection?+
@danielvieira067 is a Influencer on Peoople with 335 followers and 48 recommendations across 10 collections.
How many music are in this collection?+
This collection contains 20 music. Top genres: Acción, Crimen, Suspense.
Where can I watch or find these music?+
Available on prime_video (4), movistar (3), hbo (1), netflix (1). Tap any item for direct links.
Can I follow this collection?+
Yes! Follow this collection to get notified when new music are added. You can also follow @danielvieira067.
How are the music in this collection selected?+
Every item is personally recommended by @danielvieira067. Unlike algorithmic lists, these are handpicked by a real person that 335 followers trust.
Collections on PeoopleOver 877,000 themed collections curated by real people. Unlike algorithmic lists, every collection is handpicked by someone who loves what they recommend.