We found 45 YouTube channels similar to tomatoanus
Both channels target audiences interested in speedrunning concepts and strategies, evidenced by high search overlap on speedrun explanations and how to speedrun, and similar content intent (84% match via search, 73% content).
FrizzClips shares a strong focus on speedrunning education and guides, with queries like how to speedrun and speedrun guide aligning closely to tomatoanus’s audience (80% match; content ~81%).
WaifuRuns appeals to speedrun-focused viewers with content centered on how to speedrun and speedrun tactics, reflected in substantial search alignment (59%) and very high content similarity (85%).
Couriway targets speedrunning explanations and guides, mirroring tomatoanus’s niche and attracting the same search terms, yielding a 60% search overlap and 80% content similarity (72% overall match).
EazySpeezy combines how-to speedrun content and open-world speedrun tactics, aligning with tomatoanus’ focus on speedrun guides and tactics, evidenced by 44% search overlap but 83% content similarity.
catalystz covers speedrunning explanations and any% speedrun concepts, sharing audience interest through search alignment (34%) and high content similarity (80%), producing a 61% overall match.
39 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 60% | PulseEffects | 81% | 95.9K | 30% | 10 |
| #8 | 60% | DarkViperAU | 77% | 2.2M | 34% | 17 |
| #9 | 58% | Distortion2 | 83% | 488K | 21% | 8 |
| #10 | 57% | Bismuth | 85% | 263K | 15% | 6 |
| #11 | 56% | Piturrete | 82% | 2.4K | 18% | 3 |
| #12 | 56% | seeker TV | 82% | 10.8K | 18% | 4 |
| #13 | 56% | Xem | 78% | 77K | 23% | 6 |
| #14 | 55% | Feinberg | 79% | 216K | 19% | 3 |
| #15 | 54% | Aspecticor | 84% | 123K | 8% | 3 |
| #16 | 54% | Msushi | 81% | 183K | 12% | 6 |
| #17 | 53% | 1softi | 80% | 2.5K | 11% | 2 |
| #18 | 53% | HanabiYaki | 81% | 106K | 10% | 2 |
| #19 | 52% | ThaRixer | 82% | 209K | 7% | 4 |
| #20 | 52% | Dr4gonBlitz | 83% | 50.7K | 6% | 3 |
| #21 | 52% | FriendlyBaron | 83% | 250K | 6% | 3 |
| #22 | 52% | DECosmic | 82% | 1.4K | 7% | 1 |
| #23 | 52% | LiquidWIFI | 83% | 27.7K | 6% | 3 |
| #24 | 50% | silverr | 79% | 18.6K | 7% | 3 |
| #25 | 50% | VDPineapple | 78% | 14.5K | 8% | 2 |
| #26 | 50% | Saradoc | 79% | 19.5K | 6% | 2 |
| #27 | 50% | Jetro | 75% | 77.4K | 12% | 4 |
| #28 | 50% | Smant ▶ | 78% | 504K | 7% | 2 |
| #29 | 49% | Lilu | 78% | 2.7K | 7% | 2 |
| #30 | 49% | Rhododo | 76% | 116K | 8% | 2 |
| #31 | 48% | IGN ▶ | 67% | 19.8M | 20% | 8 |
| #32 | 48% | Technes | 76% | 27.8K | 6% | 1 |
| #33 | 48% | NickRawcliffe | 75% | 23.4K | 7% | 1 |
| #34 | 48% | fireb0rn | 76% | 638K | 6% | 4 |
| #35 | 47% | Raegasm | 73% | 137K | 9% | 3 |
| #36 | 46% | rekrap2 | 70% | 2.5M | 10% | 2 |
| #37 | 45% | Vivilly | 69% | 1.7M | 9% | 5 |
| #38 | 45% | LiquidCandy | 71% | 37.2K | 7% | 4 |
| #39 | 45% | Seanie Dew | 72% | 1.1M | 5% | 4 |
| #40 | 45% | Sambucha ▶ | 67% | 11.3M | 11% | 9 |
| #41 | 44% | i am error | 70% | 18.9K | 6% | 3 |
| #42 | 44% | camman18 ▶ | 70% | 10.6M | 6% | 3 |
| #43 | 43% | Viva La Dirt League | 68% | 7.3M | 7% | 1 |
| #44 | 42% | The Map Reading Company | 66% | 185K | 7% | 1 |
| #45 | 42% | Vox ▶ | 65% | 12.7M | 7% | 1 |
rekrap1 — 84% match, 688K subscribers; FrizzClips — 80% match, 20.5K subscribers; WaifuRuns — 74% match, 147K subscribers. All three are similar speedrun-focused channels that produce gameplay videos and explain speedrunning strategies.
tomatoanus creates speedrun explain videos and achievement guides, as evidenced by titles like 'How speedrunners beat Stray in 47 minutes' and 'How speedrunners beat Resident Evil 3 (2020) on Inferno in under 43 minutes'. The channel posts multiple videos with high view counts, averaging about 489.1K views per video, and uploads regularly (frequency implied by multiple recent videos).
We analyze tomatoanus'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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