First Humans

How to read this channel

First Humans is a 44,300-subscriber channel (about 17 months old) working mainly in Explainer / Science, Documentary / History, publishing first in English / Global. The radar tracks 7 of its uploads. Its strongest signal (breakout score 9.5× the dataset median) reaches 33.3× the channel's subscriber count and has averaged 142,985 views a day since it was published 8 days ago, on “AI Just Solved the Herculaneum Scrolls — After 2,000 Years” (1,143,882 views). That is a lifetime average, not a current rate — one capture per video means this dataset cannot distinguish a video that is still climbing from one that already peaked. The API reports the audio track language as en.

There is one statistic this page deliberately does not print: a per-channel “share of uploads that reached 3×”. Every video on this site cleared that floor before it could be tracked at all, so the figure would read 100% for every channel and would distinguish nothing. What is left instead: 7 tracked uploads pulling 4,511,818 views between them, the strongest reaching 33.3× its audience. Repeated strong reach across several uploads is the part that suggests a format; one outlier is not. The hook patterns the tracker infers from its titles are number / list hook (3), authority claim hook (3), curiosity gap hook (1), and the production choices that repeat are no-face format (no host on camera), countdown / ranked structure in title, ai-generated visuals declared in the title, ai historical reenactment (period visuals).

What to copy and what to skip: copy the packaging pattern (title structure, the promise made in the first seconds, the episode length that keeps working) and skip the parts that only this channel can do — an existing subscriber base, cross-posting, or a back catalogue that feeds recommendations. Then compare this channel against the others on its category board: same niche, different market, different length. That comparison is where the transferable part usually hides.

Those are audience numbers, not earnings: the public API returns views and subscribers but never revenue, so nothing on this site can tell you what the channel takes in. To turn an audience size like this one into a money figure under assumptions you set yourself, the YouTube channel value calculator applies an RPM you choose to views the API actually reports — it draws its comparables from the same tracked channels, and it holds no revenue data either.