Películas recomendadas🎥🎭🎞️🎬

by @YT_IgnacioGTX_YTInfluencer·58 followers

3 movies

Recommendations recalculated: June 18, 2026, 04:19 · 3 recommendations from Peoople creators

Curated by a Influencer

📦 Items

3

⭐ Avg rating

7.7

🎭 Top genre

Crimen

👤 Curator

@YT_IgnacioGTX_YT

This collection contains 3 movies with an average rating of 7.7. Top genres: Crimen, Suspense, Acción. Available on netflix (3), movistar (2), prime_video (2). Curated by @YT_IgnacioGTX_YT.

⭐ Top rated

1

Joker

Crimen, Suspense, Drama

8.3

IMDB

2

John Wick: Capítulo 3 - Parabellum

Crimen, Acción, Suspense

7.4

IMDB

3

Spider-Man: Lejos de casa

Ciencia ficción, Aventura, Acción

7.3

IMDB

Genres

Crimen 2Suspense 2Acción 2Drama 1Ciencia ficción 1Aventura 1

Where to watch

Netflix3

Movistar2

Prime_video2 hbo

Hbo2

All (3)

Joker

Crimen, Suspense8.3

Spider-Man: Lejos de casa

Ciencia ficción, Aventura7.3

John Wick: Capítulo 3 - Parabellum

Crimen, Acción7.4

About the curator

@YT_IgnacioGTX_YT

Influencer · 58 followers · 21 recs · 13 collections

Frequently asked questions

What is "Películas recomendadas🎥🎭🎞️🎬"?+

"Películas recomendadas🎥🎭🎞️🎬" is a curated collection of 3 movies by @YT_IgnacioGTX_YT, a Influencer on Peoople. Average rating: 7.7.

Who created this collection?+

@YT_IgnacioGTX_YT is a Influencer on Peoople with 58 followers and 21 recommendations across 13 collections.

How many movies are in this collection?+

This collection contains 3 movies. Top genres: Crimen, Suspense, Acción.

Where can I watch or find these movies?+

Available on netflix (3), movistar (2), prime_video (2), hbo (2). Tap any item for direct links.

Can I follow this collection?+

Yes! Follow this collection to get notified when new movies are added. You can also follow @YT_IgnacioGTX_YT.

How are the movies in this collection selected?+

Every item is personally recommended by @YT_IgnacioGTX_YT. Unlike algorithmic lists, these are handpicked by a real person.

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.