Todas

by @neereeiitaaaInfluencer·125 followers

20 series

Recommendations recalculated: June 20, 2026, 02:50 · 20 recommendations from Peoople creators

Curated by a Influencer with 125 followers

📦 Items

20

⭐ Avg rating

7.5

🎭 Top genre

Drama

👤 Curator

@neereeiitaaa

This collection contains 20 series with an average rating of 7.5. Top genres: Drama, Sci-Fi & Fantasy, Misterio. Available on netflix (10), hbo (4), prime_video (2). Curated by @neereeiitaaa.

⭐ Top rated

Sci-Fi & Fantasy, Misterio, Drama

Sci-Fi & Fantasy, Action & Adventure, Drama

8.1

IMDB

Genres

Drama 13Sci-Fi & Fantasy 6Misterio 5Crimen 4Comedia 4Action & Adventure 2

Where to watch

Netflix10

Hbo4

Prime_video2 filmin

Filmin1

All (20)

Roses - Imanbek Remix

Si Veo a Tu Mamá

Don't Start Now

The Witcher

Sci-Fi & Fantasy, Action & Adventure7.9

Las escalofriantes aventuras de Sabrina

Sci-Fi & Fantasy, Misterio7.4

The End of the F***ing World

Crimen, Comedia8

About the curator

@neereeiitaaa

Influencer · 125 followers · 85 recs · 8 collections

Frequently asked questions

What is "Todas"?+

"Todas" is a curated collection of 20 series by @neereeiitaaa, a Influencer on Peoople with 125 followers. Average rating: 7.5.

Who created this collection?+

@neereeiitaaa is a Influencer on Peoople with 125 followers and 85 recommendations across 8 collections.

How many series are in this collection?+

This collection contains 20 series. Top genres: Drama, Sci-Fi & Fantasy, Misterio.

Where can I watch or find these series?+

Available on netflix (10), hbo (4), prime_video (2), filmin (1). Tap any item for direct links.

Can I follow this collection?+

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

How are the series in this collection selected?+

Every item is personally recommended by @neereeiitaaa. Unlike algorithmic lists, these are handpicked by a real person that 125 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.