Every “best time to post on YouTube” chart is an average of channels that are not yours. This reads your own public upload history instead and gives one window to test, in the timezone you pick. Three free reads a day, no account needed.
Comparing platforms? The same read for Instagram and TikTok sits next to published benchmarks for those two.
A handle, a channel ID or a channel URL. Only public uploads are read — nothing here needs you to connect an account.
Your audience's timezone, not yours. A creator in Singapore making videos for the US has to think in US hours, and that conversion is where most published charts become useless.
A dozen uploads cannot establish a timing advantage, and the result says so when the sample is thin. Run the window for a few uploads, then check it against YouTube Analytics.
Our Instagram and TikTok pages show published research side by side, because for those platforms several studies with disclosed samples exist and we can name each source. For YouTube we do not have a public dataset of comparable quality, so there is no table here. Publishing a made-up one would be the easy move and the wrong one: a chart you cannot trace to a source is worse than no chart, because it looks authoritative while being unfalsifiable.
Less than on feed-based platforms, and that is the honest starting point. YouTube distributes mostly through browse and suggested, which keeps recommending a video for weeks, so a good video published at a bad hour still finds its audience. Where timing does bite is the first few hours: the session that decides whether a video gets pushed harder happens when your existing subscribers are awake. That is why reading your own upload history against your own audience's timezone beats any global average.
Open Analytics, then Audience, then “When your viewers are on YouTube.” That chart is built from your channel's own viewers and is the only authoritative answer for your channel. This page exists for the case where you want a read before you have enough Analytics history, or you want to compare what you have been doing against what you meant to do.
This page only reads what any visitor can see. Bring the channel into Kabo when you want the test tracked against your own numbers instead of re-running a public guess.
There is no single answer, and any page giving you one hour for all channels is averaging away the only thing that matters — who your audience is and where they live. The useful version is a window derived from your own uploads and read in your audience's timezone, which is what this page does.
No. It reads public uploads only. Nothing here asks for access to your channel, and it cannot see private metrics like click-through rate or retention — those exist only inside YouTube Analytics.
Because the sample was too small, or the view counts on recent uploads are too fresh to compare. Rather than dress a dozen uploads up as a schedule, the result labels the window as something to test. A window you know is uncertain is more useful than a confident-looking number you cannot check.
Probably, because they reach people differently — Shorts run on a feed where the first hours matter more, long videos lean on browse and suggested where they matter less. This page reads your uploads as a whole; if you publish both, run it and then look at whether your Shorts and long videos actually cluster at the same hours.
