We found 46 YouTube channels similar to Mashable
Both target film and entertainment enthusiasts with strong overlap for film theory discussions and debates, explaining an 82% match driven by search alignment and deep theory-focused content.
Shares audience interest in sci-fi movie speculation and upcoming releases, reflected in a 62% match with high content similarity on speculative film topics despite lower overall search alignment.
Appeals to tech-savvy consumers with mobile tech reviews, showing a 60% match driven by overlapping mobile-focused queries and a strong content alignment around product evaluations.
Covers smartphone cameras, AR devices, and voice assistants, aligning with Mashable on broad consumer tech topics (59% match) through overlapping search terms and high-quality tech reviews.
Targets cinema and entertainment industry topics with AI in entertainment and storytelling techniques, matching Mashable at 57% via similar industry-focused searches and analysis content.
Focuses on mobile tech and hardware reviews, yielding a 56% match as search queries on mobile devices overlap and their review-style content is highly similar.
40 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 55% | The Quantified Scientist ▶ | 70% | 377K | 34% | 6 |
| #8 | 54% | SXSW | 75% | 366K | 24% | 3 |
| #9 | 54% | gameranx ▶ | 70% | 8.6M | 29% | 4 |
| #10 | 54% | IGN ▶ | 72% | 19.8M | 26% | 5 |
| #11 | 54% | AI Uncovered | 73% | 234K | 24% | 6 |
| #12 | 53% | WhatCulture Horror | 68% | 488K | 30% | 2 |
| #13 | 52% | Thomas Flight ▶ | 76% | 1.3M | 17% | 1 |
| #14 | 52% | CNET ▶ | 76% | 4.1M | 17% | 7 |
| #15 | 52% | Looper ▶ | 75% | 5.7M | 16% | 2 |
| #16 | 52% | TED ▶ | 73% | 27.2M | 20% | 4 |
| #17 | 51% | Tech With Tim | 71% | 2.0M | 22% | 3 |
| #18 | 51% | CNBC Television ▶ | 71% | 3.3M | 20% | 3 |
| #19 | 51% | Toni's Film Club | 74% | 44.9K | 15% | 2 |
| #20 | 51% | JerryRigEverything | 75% | 9.9M | 14% | 3 |
| #21 | 50% | MOSFET | 75% | 43K | 13% | 1 |
| #22 | 50% | CinemaBlend | 75% | 337K | 12% | 2 |
| #23 | 50% | Economy Media | 72% | 104K | 18% | 2 |
| #24 | 50% | James Shin | 73% | 5.9K | 16% | 2 |
| #25 | 50% | NDC Conferences | 72% | 218K | 17% | 1 |
| #26 | 50% | GaryVee | 72% | 4.8M | 17% | 1 |
| #27 | 49% | Caitlin Reilly | 73% | 800K | 13% | 1 |
| #28 | 49% | DW Shift | 73% | 69.9K | 13% | 1 |
| #29 | 49% | TODAY ▶ | 71% | 5.0M | 17% | 1 |
| #30 | 49% | NetworkChuck | 73% | 5.2M | 13% | 3 |
| #31 | 49% | WatchMojo.com ▶ | 72% | 25.9M | 13% | 5 |
| #32 | 49% | Jade Beason ▶ | 72% | 300K | 13% | 1 |
| #33 | 49% | Animation Hustle ▶ | 72% | 527K | 13% | 1 |
| #34 | 49% | IBM Technology ▶ | 70% | 1.6M | 17% | 1 |
| #35 | 48% | Gaming In The Wild | 66% | 11.9K | 21% | 3 |
| #36 | 48% | Kallaway ▶ | 71% | 344K | 13% | 1 |
| #37 | 47% | GDC Festival of Gaming | 72% | 551K | 11% | 4 |
| #38 | 47% | BEHIND THE LENS | 68% | 1.0K | 17% | 1 |
| #39 | 47% | Jonas Čeika - CCK Philosophy | 69% | 314K | 13% | 1 |
| #40 | 47% | Think Media ▶ | 71% | 3.4M | 12% | 2 |
| #41 | 47% | Macro | 67% | 1.4M | 17% | 1 |
| #42 | 47% | The Economist | 67% | 3.9M | 16% | 3 |
| #43 | 47% | Jamie Windsor | 69% | 549K | 13% | 1 |
| #44 | 46% | Tim Runia | 68% | 116K | 12% | 3 |
| #45 | 45% | TrackIt | 67% | 10.2K | 13% | 1 |
| #46 | 43% | Royal Holloway | 62% | 8.5K | 15% | 2 |
Mashable's biggest YouTube competitors are The Film Theorists — 82% match, 13.4M subscribers; KinoCheck.com — 62% match, 4.9M subscribers; MobileTechReview — 60% match, 969K subscribers. They share a focus on technology, film, and media content similar to Mashable's tech, internet culture, and social media topics.
Mashable creates video content about technology, internet culture, and social media, as seen in titles like 'Daniel Radcliffe, Tracy Morgan, Bobby Moynihan Reveal the Funniest Moments from Reggie Dinkins' and 'Can Gen Z Actually Save Cinemas?'. The channel uploads ~7.6 videos per week, with an average of about 1.8K views per video.
We analyze Mashable'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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