Lose Yourself - From "8 Mile" Soundtrack

Todas

by @pedrosherringInfluencer·2K followers

20 music

Recommendations recalculated: June 15, 2026, 21:27 · 20 recommendations from Peoople creators

Curated by a Influencer with 2K followers

📦 Items

20

⭐ Avg rating

8.3

🎭 Top genre

Drama

👤 Curator

@pedrosherring

This collection contains 20 music with an average rating of 8.3. Top genres: Drama, Crimen, Sci-Fi & Fantasy. Available on netflix (4), prime_video (1), disney (1). Curated by @pedrosherring.

⭐ Top rated

Sci-Fi & Fantasy, Misterio, Drama

Genres

Drama 4Crimen 2Sci-Fi & Fantasy 2Misterio 1Action & Adventure 1

Where to watch

Netflix4

Prime_video1 disney

Disney1

All (20)

Toosie Slide

Nemo

Life Is Good (feat. Drake)

No Idea

Lose Yourself - From "8 Mile" Soundtrack

Tandem. Aprende Inglés Facil

Goodbyes (feat. Young Thug)

Peaky Blinders

Crimen, Drama8.7

Stranger Things

Sci-Fi & Fantasy, Misterio8.6

Sci-Fi & Fantasy, Action & Adventure7.5

About the curator

@pedrosherring

Influencer · 2K followers · 102 recs · 13 collections

Frequently asked questions

What is "Todas"?+

"Todas" is a curated collection of 20 music by @pedrosherring, a Influencer on Peoople with 2K followers. Average rating: 8.3.

Who created this collection?+

@pedrosherring is a Influencer on Peoople with 2K followers and 102 recommendations across 13 collections.

How many music are in this collection?+

This collection contains 20 music. Top genres: Drama, Crimen, Sci-Fi & Fantasy.

Where can I watch or find these music?+

Available on netflix (4), prime_video (1), disney (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 @pedrosherring.

How are the music in this collection selected?+

Every item is personally recommended by @pedrosherring. Unlike algorithmic lists, these are handpicked by a real person that 2K followers trust.

Collections on Peoople — Over 877,000 themed collections curated by real people. Unlike algorithmic lists, every collection is handpicked by someone who loves what they recommend.