See the strongest posting windows on X across day of week and hour of day. Enter your handle for a personal heatmap based on your last 90 days of posts. No signup.
Average best Friday slot: 10am EST · Best Monday slot: 10am EST
Showing the SuperX creator average. Enter your handle above for a personal heatmap based on your last 90 days of posts.
Top posting slots
Posting time on X follows a stable weekly rhythm. Tuesday, Wednesday, and Thursday top the chart with mid-morning peaks (9am to 11am in your audience's timezone) and a smaller afternoon bump (1pm to 3pm). Monday lags slightly behind. Friday peaks earlier and tails off after lunch. Saturday and Sunday are quieter overall but pull real engagement in the late-morning window. The heatmap above shows the full picture; the sections below dig into individual days.
Friday peaks earlier than other weekdays. Morning hours pull strong engagement, then drop sharply after lunch as audiences switch off for the weekend. If you only ship one Friday post, put it in the morning block.
Times above are in EST (the timezone the benchmark dataset is anchored to). See your personal best Friday slot →
Monday eases into the week. The strongest window is the 9am to 11am block in your audience's timezone, when people scan headlines and get reoriented after the weekend. The early-afternoon dip (12pm to 1pm) is real, and engagement picks back up between 2pm and 4pm.
Times above are in EST (the timezone the benchmark dataset is anchored to). See your personal best Monday slot →
Thursday is one of the highest-engagement days on X. Mid-morning peaks (9am to 11am) and a strong 1pm to 3pm secondary window. People are still actively reading and engaging right up to early evening.
Times above are in EST (the timezone the benchmark dataset is anchored to). See your personal best Thursday slot →
Saturday is the quietest day on X. Engagement is concentrated in the 10am to 1pm window. After 4pm, posts tend to drown. Save your Saturday slot for content that does not need wide reach (community replies, follow-up threads).
Times above are in EST (the timezone the benchmark dataset is anchored to). See your personal best Saturday slot →
Sunday is the weakest day on X overall, but late morning still pulls a clear peak. People scroll Sunday morning before the week ramps up, then drift away through the afternoon. Avoid posting before 9am or after 9pm Sunday.
Times above are in EST (the timezone the benchmark dataset is anchored to). See your personal best Sunday slot →
The heatmap above scores each slot by a weighted engagement metric (likes plus reposts times two plus replies times one and a half). Replies count more than reposts, and reposts more than likes, because replies signal the strongest engagement. If your goal is conversations rather than raw impressions, the early afternoon (1pm to 4pm) usually outperforms the morning peak slightly. The morning peak pulls more likes; the afternoon peak pulls more replies. The difference is small but real.
The personal heatmap pulls your last 90 days of public X posts, groups them by day-of-week and hour-of-day in the timezone you pick, and averages a weighted engagement score per slot. A darker cell means an average post in that slot performed better than average.
The score is likes + reposts × 2 + replies × 1.5. Likes are the cheapest action so they get the lowest weight. Replies cost more attention so they get the highest. The relative weights are what matters; the absolute score does not compare across accounts.
The fallback heatmap (shown when you have not entered a handle, or when you have fewer than 10 posts in 90 days) is the average across active SuperX creators. We refresh that dataset weekly. If the live sample drops below 500 tweets in the most recent window, we fall back to a published-research benchmark (Sprout Social, Buffer, Hootsuite consensus) so the page is never empty.
The clock that matters is the one your readers are looking at. If you live in Sydney and most of your followers are in New York, schedule for New York hours. The timezone picker on the calculator above lets you switch the heatmap to any IANA zone so you can see what your data looks like through your audience's clock.
Automatic audience-zone inference (we detect where your followers are and shift the heatmap accordingly) is on the roadmap. For now, pick the zone where most of your audience reads. If your audience is split across continents, run the calculator twice (once per zone) and pick the slot that is strong in both.
Below 10 tweets in 90 days, a personal heatmap is mostly noise. One viral post at 11pm on a Tuesday would pull the entire 11pm row even though the time itself is not repeatable. The calculator detects this and falls back to the average across active SuperX creators. Once you have posted consistently for a few weeks, come back and check again. The personal heatmap gets sharper as your sample grows.
The best time to tweet, what the heatmap measures, and how the personal calculator works.

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