Bluesky posting schedule: best times

Each row is one published analysis, read from its own page on 2026-09-23. They measure different samples over different periods, so they are listed side by side rather than merged into one number.

That gap is the honest answer. Some scheduler vendors have published “best time” blog posts for Bluesky, but we found none with a method we could verify, so this guide does not print their hours. When a large study appears we will add it with its sample and date.

Both large studies express times as the audience’s local time: Sprout Social records every time in local time (a 9 a.m. window is 9 a.m. in Los Angeles, London and Sydney alike), and Buffer says to “consider all the recommendations local time”. If your audience is spread across time zones, schedule for the zone where most of your followers are.

Every figure here is an aggregate across many accounts and industries. It tells you where to start testing, not when your audience is online.

There is no published large-scale benchmark for how often to post on Bluesky. A sensible approach is to match a cadence you can hold, note which posts get replies rather than likes, and adjust. Bluesky is conversational, so replying to people matters as much as posting.

Bluesky’s default Following feed shows the accounts you follow in the order they posted, which makes the moment a post goes out relevant in a way it is not on fully ranked feeds; see the Bluesky algorithm guide for how its feeds work. That is a reason to pay attention to when your followers are actually online, not a source of a specific hour.

Bluesky does not offer built-in post scheduling; Buffer’s Bluesky guide states there is no native scheduling and that threads cannot be scheduled natively either. Scheduling tools connect through an app password and publish through Bluesky’s API.

Bluesky posts through SkedCast follow the same rules as the composer: up to 300 characters, with text-only posts allowed.

SkedCast holds a scheduled post and publishes it at the time you set, from one calendar shared with every other connected account, with the same per-platform limits checked when you schedule rather than at publish time. Scheduling never changes when your audience is online; it only makes sure the post goes out in the window you chose.

A study average is a starting hypothesis. Your account’s own results are the evidence. A simple test:

SkedCast’s best-times feature does the “find your own window” step for you where the data exists: a daily job reads each connected account’s own publish history and the engagement analytics SkedCast has ingested for it, and recommends the day-and-hour slots where that account’s posts did best, in the account’s own time zone. It never invents a slot — an account with no analytics data yet simply has none — and how much it can derive depends on what each platform exposes to third-party apps. The same slots are available through the API (GET /v1/best-times, scope besttimes.read) and the MCP get_best_times tool. Best times is included from the Solo plan.