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Best time to post on Threads

Threads has two daily peaks: late morning and a genuine evening session around 8pm. A week-by-hour heatmap in your own timezone, free and with no signup.

Your timezone

The published benchmark is in America/Chicago. Your selection is +6h from that, and every cell below has been shifted by exactly that much.

Next strong slot:Wed 2amabout 132h from now

Engagement by day and hour, in Europe/London

Relative engagement index from 0 to 100 for each weekday and hour, in Europe/London.
Day01234567891011121314151617181920212223
Mon647178624722131313131313263954687889868375687174
Tue778694755626141414141414284257728495928880727579
Wed8291100806028141414141414274155708192898578707376
Thu808897785827131313131313263953677888858274677073
Fri768593745626121212121212243548607080777467606366
Sat697684675024101010101010213142536270686559535658
Sun616774594421111111111111223344566574716962565961

Every cell shows its own index from 0 to 100, so the table reads without relying on colour. 100 is the strongest hour of this platform's week, not a percentage.

Best three slots of the week

  1. Wed at 2amindex 100
  2. Thu at 2amindex 97
  3. Tue at 5pmindex 95

Top three hours, day by day

  • Mon5pm, 6pm, 7pm
  • Tue5pm, 2am, 6pm
  • Wed2am, 5pm, 1am
  • Thu2am, 1am, 5pm
  • Fri2am, 1am, 5pm
  • Sat2am, 1am, 5pm
  • Sun2am, 5pm, 6pm

What this is, and what it is not

These are population averages for Threads across many accounts and niches (Aggregated 2025-2026 studies; late morning and evening sessions.). They are a reasonable starting point when you have no data of your own, and nothing more than that.

Your own audience beats every number on this page. A B2B account and a teen-facing account genuinely peak at different hours, and once you have a few weeks of posts your analytics will say so. OctoSpark schedules against your own posting history rather than a benchmark.

How to use the Threads heatmap

Threads is newer than everything else covered here, which means the published benchmarks behind this grid rest on less history than the Instagram or X equivalents. Treat the cells accordingly.

  1. Set the timezone control to wherever the bulk of your audience lives. If that is not where you live, resist the pull of your own clock: you are scheduling around their day, not yours.
  2. Read the bands rather than the digits. The scale is relative, with the busiest cell of the week fixed at 100, so the gap between a 78 and an 81 is noise and the gap between a 78 and a 30 is not.
  3. Shortlist two or three candidate slots out of the warm band instead of one. A single slot gives you nothing to compare itself against.
  4. Cross-check against Instagram if you run both. A Threads account is tied to an Instagram account, so your Instagram follower-activity chart is a reasonable first guess at when the same people are reading you here.
  5. Run each candidate for a month, then re-run it later in the year. The platform is still changing, so a result from six months ago is evidence about six months ago.
  6. Compare on the median post, not the best one. A single outlier proves nothing about a slot, and on Threads it is the typical post that tells you whether the slot is working.

How Threads actually distributes a new post

Threads leans hard on recommendations, and a lot of what anybody sees there comes from accounts they do not follow. That gives posts a longer tail than on X and weakens the case for an exact slot.

  • A chronological Following feed exists and is selectable, but the recommended feed is what the app leads with. Publishing order reaches a minority of your readers.
  • The app is text-first and conversational, so replies are the main way a post travels. A post people answer keeps resurfacing; one people scroll past does not get a second chance from a better hour.
  • Because accounts are linked to Instagram, the audience you inherit often has an Instagram-shaped day rather than a Threads-shaped one, which is especially true on a newer account.
  • The analytics here are thinner than Instagram’s. You get views and interactions per post, which is enough to compare slots over time, but not a ready-made chart of when your followers are online.

What this heatmap cannot tell you

Of all the platforms on this site, Threads is the one where you should hold this grid most loosely.

  • The benchmark base is thin. Threads has existed for a fraction of the time Facebook or X have, so the aggregate studies behind hour-by-hour advice have correspondingly less to draw on.
  • The grid is interpolated from a handful of peak windows and weekday weights, then scaled so the busiest cell reads 100. The numbers rank cells against each other; they do not measure engagement.
  • The platform is still moving. Feed behaviour, recommendation weight and the surfaces a post can appear on have all changed since launch, which dates timing advice faster here than elsewhere.
  • Recommendation-led distribution means your post can reach people whose day looks nothing like your followers’ day, so a slot tuned to your followers may not be tuned to your actual readers.

A saner way to approach Threads timing

The useful move on Threads is to be present rather than precise. The format rewards showing up in conversations far more than it rewards a well-chosen minute.

  • Post when you can stay and reply. A thread you are around to answer for twenty minutes does better than a perfectly timed post you abandon.
  • Use the grid to avoid the dead hours rather than to find a golden one. The difference between two warm cells is much smaller than the difference between warm and cold.
  • Re-check in a few months. Anything written about Threads timing has a shorter shelf life than the equivalent advice for older platforms.
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Frequently asked questions

How this tool works, what it cannot do, and what happens to what you put into it.

  • When is the best time to post on Threads?

    Threads has two daily peaks: late morning and a genuine evening session around 8pm. That is what the aggregate studies show, and this page converts those windows into your own timezone so you are not mentally subtracting hours from an American article.
  • Which timezone is the benchmark in?

    The underlying figures are published in US Central time (America/Chicago). The heatmap shifts every cell into whichever timezone you pick at the top, so the hours you read are the hours on your clock.
  • Does posting time still matter now feeds are algorithmic?

    Less than it did, but it still matters. A recommendation feed can surface a post hours or days later, so timing no longer decides reach on its own. What it still does is decide who sees it in the first hour, and early engagement is one of the signals the ranking uses, so a good slot helps, and a consistent schedule helps more.
  • Should I trust this over my own analytics?

    No. This is a population average across many accounts and niches, which is a reasonable starting point when you have no data of your own. Once you have a few weeks of posts, your own audience beats every benchmark on this page: a B2B account and a teen-facing account genuinely peak at different hours.
  • Is my data private?

    Yes. This tool does its work in your browser, so whatever you type, paste or upload stays on your device. Nothing is sent to our servers, which is also why it keeps working if you go offline after the page has loaded.
  • Is this really free?

    Yes. Every tool here is free with no account, no credit card and no usage cap. They exist so that the people who need our scheduling product find us, which only works if the tools are genuinely useful on their own.
  • Do I need an account?

    No. Open the page and use it. An account is only for OctoSpark itself, where you plan, schedule and publish a whole calendar rather than fixing one post at a time.
  • Can I use the output commercially?

    Yes. Anything you produce here is yours, including for client and commercial work. We claim no rights over it and we do not watermark it.