30k titles were read and sorted into 24 lanes by labeling agents (non-niche titles dropped). 'Typical upload' = each channel's median for the lane, then the median across channels (range = where it likely lands), over niche-titled long-forms among each creator channel's latest 50 uploads, 2 weeks to about 11 months old (14k long-forms from 1.7k channels; dates on channel pages are YouTube's relative '3 months ago' text, so ages are approximate). 91% of rows were sorted into lanes by a model trained on the agent labels (cross-checked accuracy 0.74). Niche usual: 1.03x. 'Commenters 10k+' = share of the first 100 commenters per sampled video (5-14 videos per lane) running a 10,000+ subscriber channel; niche 5.3%.
Right = more commenters who run a 10k+ subscriber channel. Up = a typical upload in the lane beats its own channel's usual views (flops included). Dashed lines = medians across lanes. Top right is where you want to be.
| Lane | Family | Videos found | Channels | Recent long-form median (search) | Typical long-form upload | vs channel's usual | Under half | Typical Short | Top-5 channel share | Commenters 10k+ | Commenters 100k+ | For you |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Beginner growth tips Generic how-to-grow for new/small channels: start a channel, first 100/1000 subs, N tips, beginner mistakes, algorithm/C | Growth & strategy | 3.3k | 2.0k | 17k | 9.7k | 1.0x 0.97-1.03 | 19% | 4.1k | 23% | 6.9% 4.1-10.2% | 2.6% | Skip: the audience you ruled out |
| Short-form & social growth Growing on Shorts, TikTok, Reels or Instagram: going viral on short form, shorts algorithm, hashtags, posting and upload | Growth & strategy | 717 | 469 | 31k | 16k | 1.11x 1.03-1.20 | 19% | 10k | 17% | 3.3% 2.4-4.2% | 0.9% | Few established creators comment: skip as a format |
| Strategy breakdowns Analysis of why a NAMED channel, video, series or creator works (case studies, 'how X beat the algorithm'), virality sci | Growth & strategy | 504 | 404 | 612 | 22k | 0.98x 0.85-1.16 | 21% | 4.5k | 57% | 8.8% 5.2-13.4% | 5.1% | Workable with a strong angle |
| Filmmaking, editing & on-camera Camera technique, cinematic shots, editing tutorials and software, gear, lighting, audio, studio setup, talking-head fra | Craft | 831 | 545 | 74k | 23k | 1.03x 0.95-1.10 | 20% | 7.0k | 17% | 5.3% 3.6-7.2% | 2.6% | Workable with a strong angle |
| Packaging & ideas Titles, thumbnails, CTR craft and finding video ideas: thumbnail tutorials and breakdowns, title formulas, idea lists. | Craft | 774 | 584 | 625 | 7.5k | 0.7x 0.53-0.87 | 39% | 2.2k | 41% | 13.3% 8.7-17.8% | 6.0% | Your audience, but uploads run below the niche's usual: use inside a story |
| Storytelling & scripting Hooks, intros, story structure, scriptwriting for video, writing funnier/descriptively, pacing for retention. | Craft | 436 | 336 | 2.9k | 16k | 1.14x 0.92-1.29 | 18% | 3.1k | 37% | 3.0% 1.9-3.9% | 1.6% | Few established creators comment: skip as a format |
| Workflow & systems Content systems, Notion/content calendars, time management, production and post pipelines, process over headcount. | Craft | 284 | 225 | 3.4k | 6.5k | 0.69x 0.62-1.13 | 24% | 1.6k | 62% | 5.4% 3.2-7.8% | 2.1% | Workable with a strong angle |
| AI debate & experiments AI as the subject: will AI replace creators, AI and the creator economy, 'I let ChatGPT run my channel' stunts, comedic | AI | 351 | 319 | 78k | 12k | 0.86x 0.74-1.02 | 27% | 1.6k | 40% | 2.5% 1.4-3.9% | 1.6% | Few established creators comment: skip as a format |
| AI tools for creators Tutorials and roundups of AI tools for a creator task: AI editing, thumbnails, scripts, video generation, motion graphic | AI | 1.1k | 791 | 38k | 11k | 0.93x 0.84-1.00 | 26% | 3.3k | 29% | 2.4% 0.8-3.8% | 0.8% | Few established creators comment: skip as a format |
| Content marketing for businesses Video and social strategy for companies, marketers and small-business owners: B2B video, creator-led brand content, agen | Business & money | 466 | 372 | 2.6k | 7.0k | 0.86x 0.70-1.08 | 22% | 828 | 35% | 2.5% 1.6-3.4% | 0.8% | Few established creators comment: skip as a format |
| Creator business & media company Running and scaling a creator business: revenue streams beyond ads, brand deals, products, hiring editors and teams, pri | Business & money | 599 | 463 | 1.5k | 10k | 0.91x 0.80-1.04 | 31% | 3.3k | 67% | 5.0% 2.5-7.8% | 2.1% | Workable with a strong angle |
| Faceless, automation & MMO Faceless, cash-cow and automation channels, copy-paste/reupload schemes, AI faceless recipes, '$X/month without filming' | Business & money | 1.5k | 936 | 48k | 12k | 1.08x 1.00-1.17 | 20% | 3.0k | 24% | 2.1% 1.2-3.1% | 1.0% | Skip: the audience you ruled out |
| Income reveals An earnings number is the premise: what YouTube paid me, pay per 1M views, how much creators make, richest-YouTuber list | Business & money | 449 | 394 | 12k | 14k | 1.31x 1.01-1.52 | 14% | 9.4k | 56% | 4.9% 2.3-8.0% | 2.8% | Workable with a strong angle |
| One-person business & personal brand Solopreneur and one-person-business philosophy, personal branding, writing online, leverage; Dan Koe / GaryVee register | Business & money | 856 | 523 | 20k | 12k | 1.01x 0.85-1.15 | 23% | 1.9k | 48% | 3.5% 1.7-5.6% | 1.6% | Fewer established creators than average: only with a strong angle |
| Creativity & creative process Creativity talks, an artist's creative process, taste, Rick Rubin / The Creative Act, creative confidence and living a c | Mind & creativity | 653 | 535 | 4.0k | 19k | 0.91x 0.72-1.13 | 20% | 2.6k | 43% | 5.3% 2.3-9.1% | 3.7% | Workable with a strong angle |
| Creator psychology Burnout, motivation, comparison, mental health of creators, why creators quit or stop (as essay or advice), consistency | Mind & creativity | 393 | 363 | 2.6k | 8.7k | 1.0x 0.74-1.33 | 26% | 5.0k | 33% | 3.0% 1.4-4.9% | 1.5% | Few established creators comment: skip as a format |
| Build in public & BTS Documenting a channel or company as it grows: Day N series, 0-to-1M runs, X-day channel experiments, a week running the | People & stories | 489 | 403 | 10k | 22k | 1.01x 0.95-1.19 | 16% | 7.8k | 46% | 5.8% 3.0-9.0% | 4.0% | Workable with a strong angle |
| Creator journey & lessons A creator telling their OWN path in retrospect: how I grew to X, reality of my career, lessons from N years, is it worth | People & stories | 329 | 293 | 20k | 13k | 0.98x 0.81-1.06 | 23% | 2.2k | 58% | 6.4% 5.1-7.9% | 3.5% | Core: your audience, holds its own (audience read less certain) |
| Creator stories & YouTube history A third party narrating a creator's rise (Story of MrBeast, Full Story of TommyInnit) or the history of YouTube and plat | People & stories | 292 | 252 | 344 | 66k | 1.07x 0.88-1.36 | 18% | 20k | 82% | 8.6% 4.0-14.2% | 6.8% | Workable with a strong angle |
| Interviews & podcasts Long-form conversations, podcasts, panels and roundtables with creators, strategists or platform execs, and clips cut fr | People & stories | 1.3k | 869 | 15k | 39k | 0.97x 0.91-1.00 | 23% | 4.4k | 37% | 6.5% 2.3-11.6% | 4.7% | Workable with a strong angle |
| Channel announcements & milestones A creator's own post to their audience: I'm quitting, hiatus or return, subscriber-milestone specials, 'I hit 1000 subs' | Industry & culture | 344 | 334 | 63k | 32k | 1.05x 0.90-1.21 | 15% | 7.3k | 42% | 4.3% 1.4-8.5% | 3.4% | Fewer established creators than average: only with a strong angle |
| Creator drama & culture Scandals, lies exposed, cancellations, feuds, fake-income exposes, 'dark side of YouTube', satire of YouTuber tropes. | Industry & culture | 320 | 256 | 255k | 215k | 1.1x 1.00-1.19 | 15% | 20k | 36% | 4.9% 1.1-11.5% | 4.0% | Workable with a strong angle |
| Creator-economy & platform news Industry trends and analysis, state of the creator economy, platform feature/policy/monetization updates, 'YouTube is dy | Industry & culture | 1.1k | 746 | 21k | 15k | 1.08x 0.99-1.16 | 19% | 9.8k | 60% | 8.0% 5.6-10.5% | 3.1% | Workable with a strong angle |
For every sampled video, the first 100 comments in YouTube's relevance order were taken with each commenter's channel id, and every commenter channel was looked up (48k channels). Relevance order lifts bigger channels (on these videos the first 100 commenters hold more 10k+ channels than the next 100), so every row uses the same depth. This measures commenters, not viewers; compare rows, do not read one as "x% of the audience are creators". Business owners without a channel cannot show up here. Hidden subscriber counts are left out.
| Channel | Role | You named it | Subs | Commenters checked | 10k+ channels | 100k+ channels | 100k+ count |
|---|---|---|---|---|---|---|---|
| Roberto Blake | contrast | 643k | 151 | 23% | 6% | 9 | |
| Creator Science (Jay Clouse) | target | 145k | 156 | 18% | 7% | 11 | |
| Colin and Samir | target | named | 1.6M | 297 | 10% | 4% | 13 |
| Vanessa Lau | adjacent | 1.0M | 265 | 9% | 3% | 8 | |
| Jon Youshaei | target | named | 818k | 296 | 7% | 4% | 11 |
| Kallaway | target | 478k | 299 | 7% | 1% | 4 | |
| Think Media | contrast | 3.5M | 299 | 7% | 2% | 5 | |
| Casey Neistat | target | 12.7M | 300 | 6% | 2% | 5 | |
| Alex Hormozi | adjacent | 4.6M | 294 | 6% | 2% | 7 | |
| GaryVee | adjacent | 4.9M | 263 | 6% | 2% | 5 | |
| Peter McKinnon | target | 6.1M | 297 | 6% | 1% | 4 | |
| vidIQ | contrast | 2.5M | 296 | 5% | 2% | 5 | |
| Matt D'Avella | target | 4.0M | 299 | 4% | 3% | 9 | |
| Ali Abdaal | adjacent | 6.7M | 295 | 4% | 1% | 4 | |
| Matt Wolfe | adjacent | 1.0M | 298 | 4% | 2% | 5 | |
| Charlie Chang | adjacent | 1.5M | 279 | 4% | 2% | 5 | |
| The Futur | target | stands in for Chris Do (his own channel has 2 long-forms) | 2.8M | 284 | 4% | 1% | 4 |
| Jenny Hoyos | target | 12.4M | 293 | 4% | 2% | 5 | |
| Riley Brown | adjacent | 306k | 297 | 3% | 2% | 5 | |
| Iman Gadzhi | contrast | 6.3M | 296 | 3% | 2% | 5 | |
| My First Million | adjacent | 967k | 296 | 3% | 2% | 6 | |
| Greg Isenberg | adjacent | 734k | 298 | 3% | 1% | 3 | |
| Codie Sanchez | adjacent | 2.3M | 293 | 2% | 1% | 3 | |
| Dan Martell | adjacent | 3.1M | 296 | 2% | 0% | 1 | |
| Dan Koe | adjacent | named (format) | 1.4M | 297 | 2% | 0% | 1 |
| The Diary Of A CEO | adjacent | 20.9M | 298 | 2% | 1% | 3 | |
| Sahil Bloom | adjacent | 63k | 247 | 2% | 0% | 1 |
| Lane | Videos | Commenters | vs all lanes (5.3%) | 10k+ | 100k+ (niche 2.9%) | 10k+ count | MrBeast videos | 10k+ without MrBeast and YouTube-official videos (avg 4.4%) | 100k+ without them (avg 2.3%) |
|---|---|---|---|---|---|---|---|---|---|
| Packaging & ideas | 12 | 1.2k | clearly above average | 13.3% (8.7-17.8) | 6.0% (69) | 154 | 0 | 12.5% | 5.8% |
| Strategy breakdowns | 14 | 1.4k | about average or unclear | 8.8% (5.2-13.4) | 5.1% (71) | 122 | 10 | 7.1% | 4.8% |
| Creator stories & YouTube history | 10 | 994 | about average or unclear | 8.6% (4.0-14.2) | 6.8% (68) | 85 | 2 | 5.3% | 3.5% |
| Creator-economy & platform news | 13 | 1.3k | about average or unclear | 8.0% (5.6-10.5) | 3.1% (40) | 104 | 0 | 6.6% | 5.0% |
| Beginner growth tips | 12 | 1.2k | about average or unclear | 6.9% (4.1-10.2) | 2.6% (31) | 82 | 0 | 5.9% | 2.6% |
| Interviews & podcasts | 11 | 1.0k | about average or unclear | 6.5% (2.3-11.6) | 4.7% (49) | 67 | 5 | 2.0% | 1.5% |
| Creator journey & lessons | 8 | 794 | above average, wide range | 6.4% (5.1-7.9) | 3.5% (28) | 51 | 0 | 6.4% | 3.5% |
| Build in public & BTS | 11 | 1.1k | about average or unclear | 5.8% (3.0-9.0) | 4.0% (43) | 63 | 5 | 3.9% | 2.0% |
| Workflow & systems | 9 | 812 | about average or unclear | 5.4% (3.2-7.8) | 2.1% (17) | 44 | 0 | 5.4% | 2.1% |
| Filmmaking, editing & on-camera | 14 | 1.3k | about average or unclear | 5.3% (3.6-7.2) | 2.6% (34) | 70 | 0 | 5.3% | 2.6% |
| Creativity & creative process | 11 | 895 | about average or unclear | 5.3% (2.3-9.1) | 3.7% (33) | 47 | 0 | 5.3% | 3.7% |
| Creator business & media company | 13 | 1.2k | about average or unclear | 5.0% (2.5-7.8) | 2.1% (26) | 61 | 0 | 4.0% | 2.0% |
| Income reveals | 12 | 1.2k | about average or unclear | 4.9% (2.3-8.0) | 2.8% (32) | 57 | 3 | 4.2% | 1.9% |
| Creator drama & culture | 13 | 1.3k | about average or unclear | 4.9% (1.1-11.5) | 4.0% (51) | 63 | 4 | 2.0% | 1.3% |
| Channel announcements & milestones | 10 | 988 | about average or unclear | 4.3% (1.4-8.5) | 3.4% (34) | 42 | 0 | 4.3% | 3.4% |
| One-person business & personal brand | 9 | 897 | about average or unclear | 3.5% (1.7-5.6) | 1.6% (14) | 31 | 0 | 3.5% | 1.6% |
| Short-form & social growth | 13 | 1.3k | clearly below average | 3.3% (2.4-4.2) | 0.9% (12) | 42 | 0 | 3.3% | 0.9% |
| Creator psychology | 11 | 1.1k | clearly below average | 3.0% (1.4-4.9) | 1.5% (16) | 33 | 0 | 3.0% | 1.5% |
| Storytelling & scripting | 11 | 1.0k | clearly below average | 3.0% (1.9-3.9) | 1.6% (16) | 30 | 0 | 3.0% | 1.6% |
| AI debate & experiments | 14 | 1.3k | clearly below average | 2.5% (1.4-3.9) | 1.6% (21) | 34 | 0 | 2.5% | 1.6% |
| Content marketing for businesses | 10 | 883 | clearly below average | 2.5% (1.6-3.4) | 0.8% (7) | 22 | 0 | 2.5% | 0.8% |
| AI tools for creators | 5 | 494 | clearly below average | 2.4% (0.8-3.8) | 0.8% (4) | 12 | 0 | 2.4% | 0.8% |
| Faceless, automation & MMO | 12 | 1.2k | clearly below average | 2.1% (1.2-3.1) | 1.0% (12) | 25 | 0 | 2.1% | 1.0% |
MrBeast effect: 32 of 269 sampled lane videos are about MrBeast; they hold 12% of checked commenters but 21% of the 10k+ and 28% of the 100k+ ones, 72% of those on 7 videos (16 of the 32 are at or below the niche rate). YouTube's own uploads (Creator Roundups and similar, 13 videos) also draw many creators. Lanes that clearly stay above average without MrBeast videos and YouTube's own uploads: Packaging & ideas, Creator journey & lessons. The "without" columns exclude both.
30 channels, their latest ~200 long-forms with exact stats (4.9k videos). Median and ratios use long-forms posted 14-548 days ago; members-only uploads (0 public views) are left out. Roles: target = the audience you named or the same crowd; adjacent = business / solo / AI crowd; contrast = beginner or make-money crowd.
| Channel | Role | Subs | Long-forms in window | Median views | Per month | Median minutes | Likes per 1k views | Newest upload |
|---|---|---|---|---|---|---|---|---|
| The Diary Of A CEO | adjacent | 20.9M | 153 | 3.6M | 8.7 | 115.9 | 22.0 | 2026-10-26 |
| Casey Neistat | target | 12.7M | 28 | 1.2M | 1.8 | 8.1 | 40.7 | 2026-10-20 |
| Jenny Hoyos | target | 12.4M | 27 | 867k | 1.6 | 8.2 | 3.7 | 2026-10-25 |
| Ali Abdaal | adjacent | 6.7M | 68 | 202k | 3.9 | 25.2 | 26.1 | 2026-10-26 |
| Iman Gadzhi | contrast | 6.3M | 39 | 300k | 2.3 | 19.6 | 35.3 | 2026-10-21 |
| Peter McKinnon | target | 6.1M | 60 | 249k | 3.5 | 15.3 | 27.7 | 2026-10-19 |
| GaryVee | adjacent | 4.9M | 126 | 58k | 7.2 | 32.4 | 20.6 | 2026-10-23 |
| Alex Hormozi | adjacent | 4.6M | 97 | 369k | 5.7 | 26.2 | 29.2 | 2026-10-23 |
| Matt D'Avella | target | 4.0M | 19 | 633k | 1.1 | 15.3 | 32.0 | 2026-09-27 |
| Think Media | contrast | 3.5M | 192 | 41k | 12.4 | 13.7 | 20.8 | 2026-10-27 |
| Dan Martell | adjacent | 3.1M | 134 | 305k | 7.7 | 17.1 | 29.8 | 2026-10-21 |
| The Futur | target | 2.8M | 77 | 28k | 4.5 | 20.2 | 31.7 | 2026-10-25 |
| vidIQ | contrast | 2.5M | 188 | 49k | 12.0 | 9.7 | 35.1 | 2026-10-26 |
| Codie Sanchez | adjacent | 2.3M | 56 | 360k | 3.2 | 17.9 | 30.7 | 2026-10-25 |
| Colin and Samir | target | 1.6M | 31 | 171k | 1.8 | 41.5 | 23.8 | 2026-10-26 |
| Charlie Chang | adjacent | 1.5M | 95 | 23k | 5.6 | 16.9 | 17.8 | 2026-10-22 |
| Dan Koe | adjacent | 1.4M | 41 | 186k | 2.4 | 30.6 | 36.0 | 2026-10-25 |
| Matt Wolfe | adjacent | 1.0M | 136 | 98k | 7.8 | 28.8 | 30.2 | 2026-10-23 |
| Vanessa Lau | adjacent | 1.0M | 34 | 28k | 2.0 | 28.5 | 39.8 | 2026-10-23 |
| My First Million | adjacent | 967k | 171 | 47k | 9.8 | 58.2 | 17.9 | 2026-10-26 |
| Jon Youshaei | target | 818k | 25 | 410k | 1.6 | 44.3 | 17.5 | 2026-08-23 |
| Greg Isenberg | adjacent | 734k | 164 | 106k | 9.4 | 35.1 | 21.7 | 2026-10-26 |
| Roberto Blake | contrast | 643k | 3 | 11k | 0.6 | 11.4 | 37.0 | 2026-10-27 |
| Paddy Galloway | target | 533k | 0 | - | - | - | - | 2022-08-06 |
| Kallaway | target | 478k | 70 | 66k | 4.0 | 24.5 | 40.7 | 2026-10-22 |
| Film Booth | target | 374k | 0 | - | - | - | - | 2024-04-17 |
| Riley Brown | adjacent | 306k | 130 | 51k | 7.6 | 25.9 | 19.4 | 2026-10-26 |
| Creator Science (Jay Clouse) | target | 145k | 18 | 8.4k | 1.0 | 45.4 | 33.8 | 2026-10-12 |
| Chris Do | target | 75k | 0 | - | - | - | - | 2026-06-11 |
| Sahil Bloom | adjacent | 63k | 27 | 7.8k | 1.6 | 9.1 | 37.5 | 2026-10-06 |




Weakest:




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Weakest:
From the search corpus (query-biased, every video with 100k+ views), grouped into the 7 lane families. Read the trend, not the exact share.
| Term | Set | Peak month | Index, latest month |
|---|---|---|---|
| creator economy | web_core | 2025-11 | 4 |
| content creator | web_core | 2026-06 | 53 |
| personal brand | web_core | 2026-05 | 11 |
| faceless youtube | web_core | 2026-05 | 4 |
| youtube automation | web_core | 2026-05 | 6 |
| youtube automation | yt_ai_solo | 2025-06 | 21.5 |
| one person business | yt_ai_solo | 2026-09 | 1.2 |
| dan koe | yt_ai_solo | 2026-01 | 2.2 |
| ai content creator | yt_ai_solo | 2026-09 | 1.5 |
| content creator | yt_ai_solo | 2026-08 | 67 |
| grow on youtube | yt_core | 2025-06 | 19 |
| creator economy | yt_core | 2026-06 | 9 |
| faceless youtube | yt_core | 2025-01 | 71 |
| personal brand | yt_core | 2025-02 | 15 |
| youtube algorithm | yt_core | 2023-05 | 23 |
Trends values are relative within each set of five terms (0-100), not comparable across sets.
English long-forms from the last 6 months in the lanes you would enter (faceless and beginner lanes left out), 50k+ views.




























| Channel | Created | Subs | 100k+ videos | Best video | Views | Lanes |
|---|---|---|---|---|---|---|
| jakkuh | 2025-08-26 | 795k | 1 | Why I left Linus Tech Tips | 4.8M | Creator journey & lessons |
| The Internet Stamp | 2025-11-21 | 34k | 1 | Veritasium - why he still gets views | 2.7M | Strategy breakdowns |
| Bunch of Friends | 2024-10-10 | 1.0M | 1 | Can we go viral making slime videos? | 1.4M | Build in public & BTS |
| Strings and Sawdust | 2024-06-09 | 26k | 1 | How youtube changed my life with 1000 subscribers | 958k | Creator journey & lessons |
| Not Blockade | 2024-12-17 | 11k | 1 | MrBeast's 100 Days video is Horrible | 913k | Strategy breakdowns |
| Mo Bitar | 2026-01-08 | 159k | 1 | The internet is dying | 639k | Creator-economy & platform news |
| SlimeE101 | 2024-02-04 | 108k | 1 | MrBeast's Least Viewed Video is... odd?! | 639k | Strategy breakdowns |
| Demonetized | 2026-04-22 | 33k | 1 | Why Every Influencer Is Suddenly Going Broke At The Same Time | 595k | Creator-economy & platform news |
| George Alexander | 2025-03-05 | 59k | 2 | How content creation completely changed my life in 90 days | 542k | Creator journey & lessons, Build in public & BTS |
| Jeff Wade | 2026-05-13 | 12k | 1 | Starting YouTube at 56 Changed My Life in 3 Months | 504k | Creator journey & lessons |
| Ty Myers | 2024-05-31 | 41k | 1 | How YouTube Changed My Life (In Less Than a Year) | 424k | Creator journey & lessons |
| Zaza in China | 2025-03-27 | 302k | 1 | How YouTube Changed My Life in Just 6 Months 🇨🇳 | 419k | Creator journey & lessons |
| Chunchun’s Life in China | 2026-01-13 | 156k | 1 | Why Chinese Daily Life Vloggers Are Exploding on YouTube (The Real Reason) | 418k | Strategy breakdowns |
| CbullyVFX | 2024-12-27 | 9.2k | 1 | I Made a SECRET Editing Account for 7 Days and Went VIRAL!? | 382k | Build in public & BTS |
| Kallaway | 2024-10-03 | 479k | 4 | Social Media Is About to Change Forever (and nobody even realises) | 377k | Creator-economy & platform news, Strategy breakdowns |
| Barry's Economics | 2024-12-03 | 232k | 1 | Creators Don't Realise What Is Happening To Them | 330k | Creator-economy & platform news |
| Open Residency | 2024-10-29 | 100k | 1 | 2-Hour Youtube Masterclass From The World's Highest-Paid Strategist | 322k | Strategy breakdowns |
| Natasha Theresa - The Other Side | 2025-04-16 | 14k | 1 | I Quit My Job for YouTube at 40. Here's What Happened | 220k | Creator journey & lessons |
| Troy Smith | 2025-12-23 | 1.8k | 1 | The Streamer Who Solved YouTube | 152k | Strategy breakdowns |
| Lily Animations | 2025-10-07 | 98k | 1 | How I Accidentally DELETED My Youtube Channel.. | 143k | Creator journey & lessons |
| Daryn Strauss | 2024-11-29 | 20k | 1 | YouTube's NEW Shows Feature: The Story Nobody's Telling | 102k | Creator-economy & platform news |
Every niche-titled long-form posted about 2 weeks to 11 months ago by the 10k channels the labels put in the niche, each compared with its own channel's usual views. "Per channel" = the median of each channel's median (range = where it likely lands), so one prolific channel cannot carry a row. Title patterns were checked on sample titles; the new-channel and behind-the-scenes patterns still catch some advice and vlog titles and have too few uploads to call. AI in the title inside the same channel: 0.88x (0.79-0.98) across all 546 channels with both kinds; 1.04x (0.90-1.14) across the 295 with 2+ of each. The answer depends on the filter: no gain, possibly a small loss.
| Title test | Uploads | Channels | Per channel vs usual | At 2x+ | Under half | Biggest channel's share | Read |
|---|---|---|---|---|---|---|---|
| All niche-titled uploads (the niche's usual) | 14k | 1.03x (1.00-1.05) | 26% | 21% | |||
| New-channel / from-zero premise (advice titles excluded) | 28 | 24 | 0.77x (0.68-1.10) | 14% | 18% | 11% | too few uploads to tell |
| One-person business / media company in the title | 66 | 40 | 1.13x (0.94-1.85) | 35% | 18% | 17% | no clear difference from the niche's usual |
| AI in the title | 2.5k | 628 | 0.96x (0.92-1.00) | 26% | 24% | 1% | no clear difference from the niche's usual |
| Behind-the-scenes words in the title | 17 | 14 | 0.77x (0.38-1.32) | 12% | 29% | 24% | too few uploads to tell |
| Money or growth numbers in the title | 1.1k | 446 | 1.05x (1.00-1.14) | 25% | 19% | 4% | no clear difference from the niche's usual |
| MrBeast in the title | 125 | 75 | 1.16x (0.97-1.52) | 30% | 15% | 6% | no clear difference from the niche's usual |
| MrBeast in the title, critical and drama titles excluded | 96 | 62 | 1.16x (0.97-1.43) | 27% | 16% | 8% | no clear difference from the niche's usual |
The best MrBeast-titled uploads are critical takes:
Title devices, from the search sample (long-forms 14-548 days old, per-channel medians; the search sample over-represents winners, so every row is inflated and only the ORDER is information, and it is weak). The biggest single channel behind each row is shown.
| Title device | Videos | Channels | vs channel median (per channel) | At 2x+ | Biggest contributor |
|---|---|---|---|---|---|
| how-to / tutorial promise | 1634 | 711 | 7.0x | 63% | Robert Benjamin (38) |
| growth or money numbers (0 to 100k, $10k/month, 1M subs) | 831 | 439 | 4.6x | 62% | Steffen Miro (16) |
| versus or comparison | 43 | 39 | 4.6x | 63% | Keyson Stats (3) |
| AI in the title | 959 | 488 | 4.6x | 63% | Shane Hummus (23) |
| news or update words (new, update, changed, 2026) | 1077 | 438 | 4.4x | 58% | Robert Benjamin (64) |
| list (N rules, N mistakes, N things) | 415 | 235 | 4.2x | 62% | Shane Hummus (17) |
| time box (30 days, 1 year, 24 hours) | 405 | 252 | 4.1x | 62% | Steffen Miro (13) |
| plain title, no device | 229 | 190 | 4.1x | 60% | Kallaway (8) |
| interview or guest named in the title | 190 | 124 | 3.9x | 60% | Jon Youshaei (13) |
| identity or audience callout (if you're a creator, for small youtubers) | 289 | 174 | 3.6x | 61% | vidIQ (12) |
| question (Why / How does / Is X) | 339 | 257 | 3.6x | 63% | Adam Ivy (8) |
| first-person I / my (I did, how I, my) | 863 | 549 | 3.3x | 58% | Steffen Miro (17) |
| contrarian or hot take (unpopular opinion, everyone is wrong, stop doing X) | 77 | 62 | 3.1x | 58% | Steven Thompson (3) |
| secret / truth / exposé (nobody tells you, the truth about, secret) | 314 | 242 | 3.1x | 58% | Kallaway (9) |
| breakdown of a named person or company (How MrBeast..., Why MKBHD...) | 134 | 93 | 2.9x | 58% | Jon Youshaei (14) |
| negative or warning (stop, mistake, don't, dying, quitting, worst) | 492 | 335 | 2.7x | 57% | Dan the creator (11) |


topic: A named consumer tool pairing (Claude + Canva) with a counted, timed result beat a 'Claude Code autopilot across 9 platforms' pitch published a day earlier.


topic: At equal channel size, 'make this concrete thing with Claude' beat 'Claude cracked the algorithm', despite the loser having the louder thumbnail.


topic: Claude as a helper inside a creator's existing editor plus an income badge beat 'Claude made the entire video', at the same channel size and in the same fortnight.


topic: A list of concrete businesses someone can start beats a guru-idea experiment at the same channel size.


topic: Analysis of famous brands with a curiosity hook beat a generic start-your-brand how-to on a larger channel.


packaging: Same topic and same proof-number style; 'FULL COURSE, start to finish' beat 'here are the niches' even from a channel 27x smaller.


packaging: On the same channel, a visible 100 to 10M gaming-niche transformation beat a generic 'why you are not growing' video with a borrowed-tweet thumbnail.


packaging: Same promise (algorithm help for creators), but the winner proves it with a before/after chart and a 2-minute fix while the loser shows a face and a question.


topic: Viewers took 'turn this setting on' over 'signs you will blow up', and the same signs premise also lost on a second channel.


packaging: Low-confidence call: with the premise identical, the winner's addressed-to-small-creators, 'they hid it' framing and the 127-views proof object are the visible differences.


content: A short recurring feature digest with named features beat a longer trends talk on a bigger sister channel, despite a thumbnail that says nothing.


topic: Same channel, same length, similar loud thumbnails: the platform-news peg with a numbered promise beat the evergreen 'dark reality' opinion.


packaging: Same channel, same runtime, near-identical thumbnail template: the only visible differences are a guest-and-topic title versus a 'Best of' series-label title, and a five-month later upload, so low confidence that the title is the cause.


topic: On the same small channel, the interview built around two named mega-creators and a money outcome beat the one about an unnamed 'most Sued Creator'.


channel: Same guest, but the 0.54 comes from a giant channel's own median, and the loser still out-viewed the winner in raw numbers; the winner's real edge is a short, personal, one-face package.
YouTube does not show viewer ages or jobs for other people's channels. Segments below come from comment mining (verbatim quotes), the commenter-channel check above, and the web research note. Ages are reads, labeled as such.
Size: Small by comment count, densest in creator commenters. About a dozen of 1,710 growth comments and 15-20 of ~2,200 craft comments show operator signals, but packaging (13.3%), creator stories (8.6%) and strategy breakdowns (7.6%) lead every lane for commenters running 10k+ channels (all lanes 5.0%).
Age: Read from comments: about 25-55. Strategy and behind-the-scenes threads carry nostalgia math, job titles and team talk; the teen voices sit on how-to videos instead.
Watches: Packaging & ideas, Strategy breakdowns, Creator business & media company
Cares about: Views collapsing despite strong metrics, packaging that stays honest, team pressure and burnout, AI copycats.
Wants: Real numbers, inner workings (team, schedule, costs), worked examples, packaging that keeps its promise, a big name admitting he might be wrong.
Evidence: growth.json and strategy_craft.json find operators rare but high-like, opening with a credential or a number; they judge ops, cost and team, not tips.
For you: SERVE, core. Make each video its own case study: his numbers, team, costs and failed tests, packaged as legitbait. Open with the 18M credential to answer 'why aren't you bigger'. Judge success by who comments, not how many.
Size: Small and under-measured. About 35 of 1,970 business comments mention clients, an agency, their own business or freelancing; no marketer self-identifies in 2,115 industry comments. Their lanes score low on the 10k+ channel check (creator business 4.2%, one-person business 2.6%, content marketing 2.5%) because most do not run YouTube channels, so that metric undercounts them.
Age: Read from comments: about 28-55. Veteran designers and agency owners on The Futur and Sabri Suby, a 45-year-old IT manager on an AI business interview, 'I started a business last year. I have 10 employees'. An ad-listing estimate puts The Futur podcast at median 36 (UNCONFIRMED).
Watches: Content marketing for businesses, Creator business & media company, One-person business & personal brand, Interviews & podcasts
Cares about: Pricing, clients, getting customers, paid versus gifted deals, team tooling.
Wants: One quotable reframe they can repeat to clients, concrete method over case-study vibes, no lead-magnet bait.
Evidence: business.json: operators are a low-like minority asking the most specific questions (rates, tooling, landing pages). web_audience.md: Lia Haberman's newsletter reaches 55K+ social and creator marketers; ~20% of surveyed marketers fund B2B creator marketing (vendor survey).
For you: SERVE, the money layer. Frame the one-person media company in business terms: headcount, cost per video, margins, systems, what a brand gets. Never funnel-first. Measure them off YouTube (newsletter, inbound), since comments will not show them.
Size: Small. AI tools pool only 2.5% commenters with 10k+ channels; the 4-hour Claude Code course has 5 of 200. Only 32 of 1,710 growth comments mention AI.
Age: Read from comments: mostly adult freelancers, developers and team leads, with a teen tail ('I am 14 and I am paying for the pro sub').
Watches: AI tools for creators, Build in public & BTS, Interviews & podcasts
Cares about: Setup details (CLAUDE.md files, voice tools), real cost of the tools, whether demos hold up off-camera.
Wants: The actual files and prompts, the screen shown, AI doing visible work instead of hype.
Evidence: ai.json: no commenter states a 100k+ channel and asks how to add AI to a pipeline. people.json: praise when AI does visible work; 'u r not telling the amount of money' drew 1,655 likes.
For you: BORROW, carefully. Show the real stack and its monthly cost inside creator-business stories, and open-source files for loyalty, but never become a tool-tutorial channel: that pulls freelancers and side-hustlers, not 100k+ creators.
Size: Largest by likes in the AI and industry groups. 'Dead internet theory has become dead internet reality' has 107,684 likes; zero unconditional pro-AI comments in 2,115 industry comments. The pooled AI-debate share is 2.1%, but 'AI Slop Is Destroying The Internet' has 16 of 200 known commenters with 10k+ channels (11 with 100k+), so working creators sit here.
Age: Read from comments: wide. Debate videos skew 25-65 (a 40-year-old, librarians, a 20-year designer); high-like industry commenters skew 16-30.
Watches: AI debate & experiments, Creator-economy & platform news, Packaging & ideas
Cares about: Trust, human-made work, undisclosed AI, AI-looking thumbnails, platforms pushing slop, real work flagged as AI.
Wants: A named human with receipts, disclosure, AI kept as a tool behind human judgment.
Evidence: ai.json: hostility targets AI as substitution, not as a craft tool. industry.json: a pro-AI creator is met with 'is he getting paid' (1,336 likes).
For you: EARN, do not provoke. They include his target peers. Keep face, voice and judgment his, disclose where AI sits, never pitch 'AI runs my channel', no AI-looking thumbnails. Lead with proof of quality, then show the pipeline.
Size: Large by likes. Creator stories (8.6%), interviews (5.9%), drama (4.9%), build in public (4.8%) and announcements (4.3%) score at or near average because creators watch too, but fans write the most-liked comments; about 10 of 1,889 people-group comments are self-identified working creators.
Age: Read from comments: teens to mid-20s ('I'm 13 and I've been watching them since I was 9'); children 8-13 on milestone and gaming videos.
Watches: Income reveals, Build in public & BTS, Interviews & podcasts
Cares about: The person, the scale of the machine, unedited moments.
Wants: More behind the scenes, vlogs, studio tours, bloopers.
Evidence: people.json: 'should i record more vlogs?' (123,604 likes) and 'he honestly needs a behind the scenes channel' (6,005 likes).
For you: BORROW the format. Behind-the-scenes of his machine pulls this crowd and his 18M fan base, so use it as the reach layer, but make the payoff operator-level and skip drama and milestone content.
Size: Largest by comment count. About 15% of 1,710 growth comments carry a small or new creator cue; about 125 of 315 comments under official YouTube Creators roundups are beginner thanks or monetization pleas. Beginner tips pool 6.9%, lifted by PewDiePie 'How To Get Started' (18 of 100); 'Change This One YouTube Setting Now!' has 5 of 100. Short-form pools 3.3%.
Age: Read from comments: teen to early 20s (board-exam students, 14-year-olds), plus a career-changer and retiree tail aged 44-84.
Watches: Beginner growth tips, Short-form & social growth, Storytelling & scripting
Cares about: First 1,000 subs, monetization thresholds, views after 48 hours, company.
Wants: Permission, a first step, solidarity threads, more tutorials.
Evidence: growth.json: the biggest threads are solidarity calls ('Small channels, don't give up', 10,108 likes), not questions.
For you: AVOID. No 'start a channel', first-1,000-subs, settings or monetization titles; they flood comments, teach the algorithm the wrong viewer, and cannot become the 100k+ audience.
Size: Sizable on its own lanes, lowest creator density: faceless and MMO pool 2.1%, tied with AI debate for last. Business comments hold about 30 rich-or-broke comments and about 40 bot or shill comments, some with 800-5,200 likes.
Age: Read from comments: young and cash-poor (15, 21, a school Chromebook), plus a 50-75 retiree strand on income reveals.
Watches: Faceless, automation & MMO, Income reveals
Cares about: Any income fast, scams, blocked cash-outs.
Wants: Honest real-number debunks, copyable step-by-step, a host not selling a course.
Evidence: mmo.json: scam-literate and burned; they treat money videos as ads for a course. business.json: 'They are making money by making videos telling us how to make money' (513 likes).
For you: AVOID. No income-promise titles, no '$X a month with AI', no faceless recipes. Borrow only the honesty format: real P&L, failures shown, nothing to sell.
| Lane | Comments | creator self | small creator | business owner | money motive | ai negative | ai positive | wants bts | wants product |
|---|---|---|---|---|---|---|---|---|---|
| Packaging & ideas | 1.2k | 4% | 2% | 0% | 0% | 1% | 0% | 0% | 1% |
| Beginner growth tips | 1.3k | 4% | 6% | 0% | 0% | 0% | 0% | 0% | 1% |
| Creator-economy & platform news | 2.5k | 4% | 2% | 0% | 0% | 2% | 0% | 0% | 0% |
| Short-form & social growth | 1.3k | 2% | 3% | 0% | 0% | 0% | 0% | 0% | 0% |
| Income reveals | 1.2k | 2% | 2% | 0% | 1% | 0% | 0% | 0% | 0% |
| Creator business & media company | 2.4k | 1% | 1% | 1% | 1% | 0% | 0% | 0% | 1% |
| Creator journey & lessons | 800 | 1% | 2% | 0% | 0% | 0% | 0% | 0% | 1% |
| Strategy breakdowns | 3.0k | 1% | 1% | 0% | 0% | 0% | 0% | 2% | 0% |
| Storytelling & scripting | 1.1k | 1% | 0% | 0% | 0% | 0% | 0% | 0% | 1% |
| Filmmaking, editing & on-camera | 1.3k | 1% | 1% | 0% | 0% | 0% | 0% | 1% | 1% |
| Interviews & podcasts | 2.2k | 1% | 0% | 1% | 0% | 0% | 0% | 0% | 1% |
| Workflow & systems | 925 | 1% | 1% | 0% | 0% | 0% | 0% | 1% | 2% |
| Build in public & BTS | 2.3k | 0% | 2% | 0% | 0% | 0% | 0% | 3% | 0% |
| Content marketing for businesses | 897 | 0% | 1% | 2% | 0% | 0% | 0% | 0% | 2% |
| Faceless, automation & MMO | 1.2k | 0% | 1% | 0% | 4% | 0% | 0% | 0% | 0% |
| Channel announcements & milestones | 999 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
| Other | 1.1k | 0% | 1% | 0% | 0% | 0% | 0% | 0% | 0% |
| Creator psychology | 1.1k | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
| AI tools for creators | 945 | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 3% |
| Creator stories & YouTube history | 1.0k | 0% | 1% | 0% | 0% | 0% | 0% | 0% | 0% |
| AI debate & experiments | 2.7k | 0% | 0% | 0% | 0% | 2% | 0% | 0% | 0% |
| Creativity & creative process | 1.6k | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 1% |
| Creator drama & culture | 1.3k | 0% | 0% | 0% | 0% | 0% | 0% | 1% | 0% |
| One-person business & personal brand | 1.8k | 0% | 0% | 1% | 1% | 0% | 0% | 0% | 1% |
Phrase counts, not reads: "ai negative" is 120 of 140 times the phrase "AI slop", and 61% of matches sit on 3 videos about AI slop; "business owner" needs first-person phrasing ("my agency", "I run a business").
| Off-niche topic | Uploads | vs usual | At 2x+ |
|---|---|---|---|
| Their niche uploads (baseline) | 20k | 1.02x | |
| gear tech | 491 | 1.08x | 27% |
| productivity | 107 | 0.97x | 21% |
| business money | 794 | 0.96x | 23% |
| ai tech | 2915 | 0.94x | 26% |
| marketing sales | 308 | 0.94x | 18% |
| vlog life | 171 | 0.92x | 23% |
| self improvement | 393 | 0.86x | 16% |
| philosophy psych | 33 | 0.85x | 21% |
Mined from the top comments of 275 lane videos, one agent per lane group. Quotes are verbatim with real like counts.
This audience rewards proof over promise: the teacher's own video demonstrates the method, the real operation (team, schedule, costs) is shown, and one human story makes craft land; it punishes overpromising titles, filler before the point, no worked examples, visible retention-engineering and off-topic ads. A new face-to-camera channel for working creators should make each video its own case study, lead with a credential-level result before teaching (the standing objection is 'why aren't you bigger if you know the secrets', which 18M subs pre-empts), and keep AI invisible in the workflow while voice and story stay visibly human, since AI is mostly invoked here as an accusation of polish and formula. Caveat: the 100k+ operator signal is thin and sits on behind-the-scenes and analysis videos, not tutorials; almost no one asks for AI (one wants an AI hook extractor), the forward asks are creator tooling (thumbnail tests, outlier finders) and creators acting as studios.
This audience rewards the person behind the machine: unedited footage of a real operator, BTS that shows crew, cost and struggle, honest labor stories, and interviews mined as courses. Self-identified working creators are a thin slice of commenters, so a face-cam channel for 100k+ operators wins by showing real numbers, costs, team and failures, demonstrating AI doing visible work, and keeping taste visible, because a vocal minority blames optimization and retention editing for ruining YouTube.
Sparse: about 22 of 1,889 comments, most on Raj Shamani's AI-business episode and Jack Craig's AI channel video; Rick Rubin's AI-themed interview draws none. Positive when AI is shown doing visible work (demo, screen, workflow). Negative about hype with nothing practical, yes-man flattery, hidden costs, and YouTube's own AI moderation. Bot spam for AI tools appears in AI-video comments.
This audience rewards numbers and inner workings shown without stalling (costs, team, where money goes, failures) and one reusable reframe per video that viewers quote to clients. Comments are mostly beginners, money-seekers and bots; operators are a low-like minority asking the most specific things (systems, tooling, rates, paid vs gifted). A new face-cam creator aimed at 100k+ operators should show real costs and the machine behind the channel, back AI claims with proof (high-like AI talk is sceptical: affiliate, slop, AI-written scripts), and avoid funnel-first framing.
This audience rewards provable humanness, evidence-first exposés, candid disclosure of money and life changes, and content that gets to the point; it punishes AI slop, hidden money motives, scale-optimised MrBeast-style production and platform metric-chasing. The 100k+ peers appear only under slop, private-equity and platform-control videos, and the AI-leveraged one-person-company pitch lands in a hostile room (zero unconditional pro-AI comments, and a pro-AI creator is met with 'is he getting paid', 1,336 likes). A new face-cam creator should lead with the named human, receipts and his own conflicts of interest, show AI as disclosed tooling under human judgment, never pitch 'AI runs the channel', and own the ownership-transparency and anti-slop angle the audience is asking for.
Overwhelmingly negative. No unconditional pro-AI comment in 2,115. Positives are conditional (AI for medicine and chores, not art). A creator who posts pro-AI content is suspected of being paid, and pro-AI repliers are called bots.
This lane is a beginner and small-creator crowd: its biggest threads are 'small creators gather here' and Hinglish sub-count thanks, so tips-style education attracts people who cannot be the 100k+ audience. The few working creators and the biggest non-beginner comments reward real numbers and process, packaging that keeps its promise, a consistent recognizable human brand, and a huge name saying he may be wrong. A new face-cam channel for operators should teach with its own data and failed experiments, skip comfort-and-motivation, and keep AI in the engine room, not on the thumbnail.
Only 32 of 1,710 comments mention AI, 19 of them under the Forgotten Weapons test. The negative side is loud (the 45 comments packed for one AI-thumbnail experiment total about 62K likes, almost all preferring the old look) and it objects to AI-looking PUBLIC packaging, which breaks brand recognition and signals slop, not to AI as a tool. The positive side is sparse and private: Studio's AI audit, ChatGPT recommending a video, a request to cover Claude for short-form. Spam promoting AI image tools was excluded.
This audience rewards honesty about the cost of making things plus one usable idea delivered plainly: the adult, high-engagement videos (Design Theory, Josh Czuba, Daniel Barada, Perry Daniels) are essays or unedited talking-head monologues where viewers confess their own stories at length, while the entertainers win on jokes and animation, not advice. A new face-cam creator for advanced creators should name the unspoken pain (success trap, fear replacing curiosity, advice-consumption guilt), hand over one named rule or free system, show visible craft or a result, and never read as a pitch, since the sharpest negative reaction in the data is to sellers of secrets. Treat AI as a visible sidekick to a human vision, because the loudest AI reaction is relief at human-made work.
Only about 15 comments across 22 videos mention AI. The positive ones all come from one musician (Dandy John) whose AI character jokes beside his songwriting; they are near-identical and low-like, probably templated, so low trust. The real signal is protective: polished human work gets suspected of being AI, AI slop is the foil that makes craft precious, and AI art is cited as artist pressure. AI is accepted only as a visible, funny sidekick to a human vision.
This audience rewards a named, visibly human personality with stakes, honest framing and receipts, and punishes substitution of the creator or undisclosed AI; free calm deep teaching and open-source builds earn loyalty, hyped make-money pitches earn side-eye. A face-cam creator selling an AI-leveraged one-person company should keep face, voice and judgment unmistakably his, disclose where AI sits in the pipeline, show real builds and numbers, and frame AI as what frees human craft: the anti-slop signal is the largest and loudest here, so the 'I love AI' stance will draw fire from the 100k+ creators he targets unless proof of quality comes first.
The hostility targets AI as substitution or fog (slop, fake people, undisclosed content, platform-pushed feeds, a creator's face and voice swapped out), not AI as a craft tool: the same crowd cheers when a named human uses AI as the prop or the experiment (Sambucha, yikes) and reads a build-and-open-source demo as generosity (God's Eye View). Backlash triggers seen here: a creator announcing a stand-in for himself (n3on), undisclosed or hype-first AI promotion, AI accusations aimed at honest work, any hint a platform or brand is pushing it. Caveat: no video here is a big creator openly running his company on AI, so 'AI used BY a real creator' is inferred from adjacent cases (Neon, Kwebbelkop, tutorials), not observed.
This lane rewards trust and anti-scam realism: honest numbers, a humble named host, and zero course-selling beat any income claim, while ad-disguised or AI-persona content gets shredded. The audience is young, broke and burned, treats 'how to make money' videos as the real business model, and will not pay or follow a pro-operator thesis, so a new face-cam creator should borrow the honesty format (real P&L, failures included, no course) and avoid income-promise titles, beginner promises and AI-as-magic framing.
Full notes: creator breakouts and money, who watches.
Full note with the timeline: timeline and policy.
Download every labeled video (CSV) · Web notes: audience · creators · timeline
















































































































































































































































































































































































Data from YouTube Data API, yt-dlp search, TubeLab, Google Trends, pulled 2026-10-27. Data figures are computed from the project's data files by the page builder; web facts are quoted from linked sources; planning estimates are labeled as assumptions.