Is It Wrong to Try to Pick Up Girls in a Dungeon?

anime ñññ

by @milk_boyInfluencer·77 followers

4 series

Recommendations recalculated: June 26, 2026, 09:58 · 4 recommendations from Peoople creators

Curated by a Influencer

📦 Items

4

⭐ Avg rating

6.8

🎭 Top genre

Animación

👤 Curator

@milk_boy

This collection contains 4 series with an average rating of 6.8. Top genres: Animación, Misterio, Drama. Available on netflix (2). Curated by @milk_boy.

Top rated

1

Beastars

Misterio, Drama, Animación

7.6

IMDB

2

Is It Wrong to Try to Pick Up Girls in a Dungeon?

Sci-Fi & Fantasy, Action & Adventure, Comedia, Animación

Sci-Fi & Fantasy, Action & Adventure, Comedia, Animación

Misterio, Drama, Animación

4.8

IMDB

Genres

Animación 4Misterio 2Drama 2Sci-Fi & Fantasy 2Action & Adventure 2Comedia 2

Where to watch

Netflix2

All (4)

Beastars

Misterio, Drama7.6

Is It Wrong to Try to Pick Up Girls in a Dungeon?

Sci-Fi & Fantasy, Action & Adventure7.4

Diabolik Lovers

Misterio, Drama4.8

(Des)encanto

Sci-Fi & Fantasy, Action & Adventure7.2

About the curator

@milk_boy

Influencer · 77 followers · 69 recs · 11 collections

Frequently asked questions

What is "anime ñññ"?+

"anime ñññ" is a curated collection of 4 series by @milk_boy, a Influencer on Peoople. Average rating: 6.8.

Who created this collection?+

@milk_boy is a Influencer on Peoople with 77 followers and 69 recommendations across 11 collections.

How many series are in this collection?+

This collection contains 4 series. Top genres: Animación, Misterio, Drama.

Where can I watch or find these series?+

Available on netflix (2). 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 @milk_boy.

How are the series in this collection selected?+

Every item is personally recommended by @milk_boy. 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.