hazel YouTube channel thumbnail
hazel
Subscribers 267K
Videos 31
Views 10.8M

Channels Like hazel

Hazel covers anime-related nostalgia, retro magazines, tokusatsu, creepypasta culture, and memory-based anime topics through long-form videos and deep-dive style content. The channel leans into thoughtful essays, retrospectives, and list-style explorations rather than shorts, with a recent video lineup ranging from 29 to 1:36:18 in length. Hazel publishes about 0.1 uploads per week, and videos average around 270K views, based on recent data (channel totals: 31 videos, 10.8M total views, 267K subscribers).

AI summary

Similar Channels

We found 43 YouTube channels similar to hazel

Otaku In Tokyo YouTube channel thumbnail
#1
Otaku In Tokyo

88% relevance

Subscribers 43.7K
Videos 220
Views 39.8M
Appearances 7
SERP 100%
Similarity 80%
favorite anime places favorite anime locales

Both channels target anime enthusiasts with strong overlap on searches for favorite anime places and locales (100% search alignment) and Hazel-style exploration of location-based anime content, though Hazel’s content approach (story-driven location analysis) differs from Otaku In Tokyo’s possibly broader travel-focused style (80% content match).

AI summary
Geek Recommends YouTube channel thumbnail
#2
Geek Recommends

83% relevance

Subscribers 15.2K
Videos 54
Views 1.8M
Appearances 5
SERP 91%
Similarity 77%
retro anime trends retro anime trends analysis hidden gem anime

Both appeal to fans of retro and niche anime topics, sharing search interest in retro anime trends, with Hazel and Geek Recommends delivering nostalgic insights (91% search overlap) but Hazel’s execution is more location- and analysis-driven (77% content match).

AI summary
Marcosatsu YouTube channel thumbnail
#3
Marcosatsu

81% relevance

Subscribers 82.2K
Videos 326
Views 16.5M
Appearances 7
SERP 93%
Similarity 74%
tokusatsu analysis tokusatsu analysis basics

Both channels cover tokusatsu analysis and related media topics, yielding high search alignment (93%) for tokusatsu queries, yet Hazel’s format focuses on cinematic or venue-oriented analysis rather than strictly technical breakdowns (74% content match).

AI summary
The Smuggler YouTube channel thumbnail
#4
The Smuggler

78% relevance

Subscribers 5.8K
Videos 46
Views 770.4K
Appearances 5
SERP 73%
Similarity 81%
vhs anime collection vhs anime collecting tips

Both target collectors and nostalgia-minded viewers, with shared searches around VHS-era anime and collecting vibes (73% search) and Hazel-like appreciation for analog media, though The Smuggler emphasizes practical collecting tips (81% content match) while Hazel emphasizes place-based storytelling.

AI summary
ChipmunkuChan YouTube channel thumbnail
#5
ChipmunkuChan

67% relevance

Subscribers 52.8K
Videos 14
Views 6.6M
Appearances 3
SERP 54%
Similarity 76%
old school anime art early anime animation techniques retro anime trends analysis

Both channels touch on old-school and retro anime aesthetics and techniques (54% search overlap) and feature analysis of early animation styles (76% content match); Hazel, however, centers these ideas within location- and context-driven content rather than purely technical retro analysis.

AI summary
Mother's Basement YouTube channel thumbnail
Subscribers 1.4M
Videos 558
Views 337.3M
Appearances 4
SERP 53%
Similarity 77%
anime video essays favorite anime locales anime criticism essays

Both deliver anime-focused essays and criticism with an interest in favorite locales, evidenced by shared search interest (53% search) and Hazel-like analytical depth (77% content match), though Mother's Basement leans more into formal video essays while Hazel emphasizes immersive location exploration.

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Content Landscape

Top competitors by match strength are Otaku In Tokyo (88% match) and Geek Recommends (83% match). Marcosatsu (81% match) also aligns closely. These channels overlap with Hazel on queries such as favorite anime places/locales, retro/nostalgia anime trends, and tokusatsu analysis. Hazel has 267K subscribers, while Otaku In Tokyo has 43.7K and Geek Recommends 15.2K; Marcosatsu has 82.2K. All three competitors share interest in nostalgia-driven and retro anime topics, with Hazel differentiating through longer-form deep-dives into memory, magazines, and cult/nostalgia subjects.

AI summary

Video Highlights

Recent content from similar channels

Didn't Make the Cut

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Search Queries Used

anime nostalgia old anime magazines tokusatsu analysis creepypasta culture magazine culture anime vhs anime collection weird anime topics favorite anime places anime on memory domestic anime history early anime animation anime video essays friendly anime discussions anime fandom retro anime trends nostalgia anime moments old school anime art tokusatsu analysis basics creepypasta inspired anime magazine culture animation vhs anime collecting tips weird anime topics explored favorite anime locales anime on memory topics early anime animation techniques friendly anime debates anime fandom psychology retro anime trends analysis hidden gem anime anime magazine nostalgia vintage anime advertisements anime criticism essays lost anime projects

Frequently Asked Questions

Which YouTube channels are most similar to hazel?

Hazel's biggest competitors on YouTube are Otaku In Tokyo (88% match, 43.7K subscribers) and Geek Recommends (83% match, 15.2K subscribers). Marcosatsu is also a close competitor (81% match, 82.2K subscribers). They share a focus on anime, gaming, and pop culture content similar to hazel.

What type of content does hazel make?

Hazel creates videos about anime, older magazines, and retro game topics, as suggested by titles like 'how i invaded the Channel Awesome movies', 'cool & cute old anime magazines', and 'playstation games that might be evil'. She uploads with an average of about 0.1 uploads per week, and videos average around 270K views (e.g., 383K, 135K, 121K, 77K, 68K views in recent videos).

How do we determine which channels are similar to hazel?

We analyze hazel's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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