Compare every channel in your niche, side by side.

Every column sorts, so the table answers the questions you actually arrive with. Who is growing fastest right now, rather than who is biggest. Who is running hot against their own baseline, which is a different question from who has the most views. Who has gone quiet. Whose upload cadence you are quietly falling behind.

The “velocity vs typical” column is the one that does the most work. A raw views-per-hour number tells you a channel is large; the same number against that channel’s own normal rate tells you something is happening. A 500-subscriber channel running at four times its usual pace is a signal, and a table that only ranks by size buries it.

The median row underneath is the niche itself, per column, with the count of channels behind each figure printed next to it. A median over four channels and a median over forty are not the same claim, so the table says which one you are reading.

Below the table is the timing panel: for each channel, the hours its uploads went live, and how many days typically pass between them.

This is the part of the product that most tools get wrong, so it is worth being precise about. YouTube does not publish an exact upload timestamp on a channel page — it publishes relative text like “3 days ago”. A tool that converts that into a clock time and draws an hour-of-day chart is drawing the time its own scraper happened to run, dressed up as the creator’s schedule.

So the hour is reported only for uploads this monitor watched go live: those were first seen while the relative text was still in minutes or hours, which makes the stored timestamp a real publish instant. Everything already published when tracking began is excluded from the hour view and says so on the page. Upload gaps are a day-scale question and survive the day-level rounding, so they use a wider window — which is why a channel can have a measurable rhythm before it has an honest publish hour.

When there is not enough of either, the row says “No two uploads dated precisely enough to measure a gap” instead of printing a number. That sentence is a feature. Every figure this product shows is one you can act on, because the ones it cannot stand behind are absent.

Nothing in this table is a separate data source. Subscribers, views and uploads are the same observations that fill the feed, the outlier ranking and the packaging archive, so a number here and a number there cannot disagree. Adding or removing a channel changes all four views at once.