kate Horlor

How to read this channel

kate Horlor is a 1,430-subscriber channel (about 249 months old) working mainly in Sci-Fi / Time Travel, publishing first in English / Global. The radar tracks 1 of its uploads. Its strongest signal (breakout score 3.9× the dataset median) reaches 237.4× the channel's subscriber count and has averaged 1,616 views a day since it was published 210 days ago, on “Laura Living Backwards: Award-Winning Time Travel Short Film (2024)” (339,457 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.

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: this channel has a single tracked upload so far, and it has pulled 339,457 views. Treat a one-video channel as a topic signal, not as proof of a repeatable format. The hook patterns the tracker infers from its titles are statement / cold open (1), and the production choices that repeat are no-face format (no host on camera).

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.