We found 37 YouTube channels similar to Mr. Nightmare
High search overlap on horror query terms like 'true horror stories' and 'creepy true stories' (100% vs 91%), and strong content alignment in delivering narrative horror stories (86%), making them share an audience with Mr. Nightmare while focusing on storytelling rather than isolated jump-scare narration.
Shares audience with searches for 'creepy true stories' and 'police attic horror stories' with a solid 77% search match, and strong content alignment (86%) in true crime/creepy narratives, though Mortis often emphasizes darker criminal cases.
Overlaps with searches for 'true horror stories' and 'disturbing horror stories' (56% search) and very high content similarity (87%), aligning on horror storytelling, albeit via animated presentation rather than narration.
Shares core horror queries like 'true horror stories' and 'creepy true stories' (37% search) and shows very high content similarity (90%), indicating a closely related, text-or-voice-driven horror storytelling style.
Similar audience via 'true horror stories' and 'creepy true stories' (37% search) with high content alignment (86%), indicating comparable storytelling approach with a diary/narrative voice.
Matches on 'disturbing horror stories' and 'attic/caving horror stories' (38% search) with strong content alignment (85%), suggesting similar themes and atmospheric horror storytelling.
31 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 65% | Snook | 83% | 696K | 38% | 11 |
| #8 | 60% | Unknown Whispers | 85% | 48.5K | 22% | 8 |
| #9 | 60% | Darkness Prevails | 83% | 841K | 25% | 6 |
| #10 | 59% | Wansee Entertainment ▶ | 83% | 1.8M | 22% | 2 |
| #11 | 59% | Midnight Nightmare | 87% | 47.3K | 17% | 9 |
| #12 | 57% | Buried Files | 85% | 28.8K | 16% | 5 |
| #13 | 57% | Scary Interesting ▶ | 80% | 1.9M | 22% | 8 |
| #14 | 56% | Ash’s Abyss | 86% | 3.6K | 10% | 2 |
| #15 | 55% | IMR Scary Tales | 85% | 1.2M | 10% | 5 |
| #16 | 54% | Lighthouse Horror | 80% | 877K | 16% | 9 |
| #17 | 54% | MrBallen | 80% | 10.8M | 15% | 6 |
| #18 | 54% | Heart Starts Pounding w/ Kaelyn Moore | 85% | 475K | 8% | 6 |
| #19 | 53% | The Tape Library ▶ | 83% | 419K | 8% | 3 |
| #20 | 53% | Being Scared | 76% | 451K | 19% | 8 |
| #21 | 53% | Proper Scary | 81% | 53.6K | 10% | 5 |
| #22 | 52% | The Dark One | 81% | 30.6K | 10% | 2 |
| #23 | 52% | True Crime Stories | Ty Notts | 81% | 187K | 9% | 4 |
| #24 | 52% | Be. Busta | 81% | 841K | 9% | 3 |
| #25 | 51% | The Missing Enigma | 78% | 330K | 10% | 2 |
| #26 | 50% | TheGhostFiles | 77% | 129K | 10% | 3 |
| #27 | 50% | Bedtime Stories | 72% | 1.1M | 18% | 4 |
| #28 | 50% | BuzzFeed Unsolved Network | 77% | 5.4M | 9% | 1 |
| #29 | 50% | Brent Rivera | 77% | 41.7M | 9% | 1 |
| #30 | 49% | The Paint Explainer | 75% | 1.8M | 11% | 3 |
| #31 | 49% | Skull Tales | 74% | 608K | 10% | 2 |
| #32 | 48% | Trust Me Bro | 76% | 1.2M | 7% | 2 |
| #33 | 47% | NaturesTemper | 72% | 233K | 9% | 1 |
| #34 | 46% | Drew Dirksen | 71% | 4.4M | 9% | 1 |
| #35 | 46% | 48 Hours ▶ | 70% | 2.4M | 11% | 3 |
| #36 | 43% | Maya McComas | 66% | 22.5K | 9% | 1 |
| #37 | 41% | Endless Whispers | 64% | 5.6K | 8% | 2 |
Mr. Nightmare's biggest competitors on YouTube are Lets Read! (91% match, 1.3M subscribers) and Mortis Media (82% match, 439K subscribers) and MJV Animations (74% match, 570K subscribers). They share a focus on horror storytelling and suspenseful, creepypasta-style content
Mr. Nightmare creates horror storytelling content based on video titles like 5 Disturbing TRUE Home Alone Stories, 3 Creepy TRUE Gym Horror Stories, 3 Scary TRUE Backyard Horror Stories, 3 Scary TRUE Fog Horror Stories, and 3 Disturbing TRUE Police Horror Stories. The channel averages about 993.1K views per video, with the recent uploads including at least five videos and a listed variety of topics; the exact upload frequency is not specified beyond the average per video view count.
We analyze Mr. Nightmare'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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