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Matt Walker engagement report

@sleepdiplomat - 455K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 455K followers
Per impression
0.314%
14K views on a typical post
Reach
3.16%
of its followers see a post
Typical post
44
interactions (median)
Saved
0.078%
11 bookmarks on a typical post
Posting rate
1.17/day
active 57% of days
Peak time
14:00 UTC
Monday

A typical post picks up 44 interactions against 455K followers, an engagement rate of 0.01%. Measured over 14 original posts, its engagement rate beats 34% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 14K times each, and 0.314% of those impressions turn into an interaction. That is about 3.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 21% carry an image or video, 57% are part of a thread and 29% link out. The account's strongest tracked post pulled 170 interactions, about 3.9x its own typical post. Recurring topics include #sleep, #sleepscience, #circadianrhythm.

Measured over 14 original posts from a 30-day window, last computed on September 25, 2026. Recurring tags: #sleep, #sleepscience, #circadianrhythm.

Compared with accounts its own size

Matt Walker's engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 22% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.01%, Matt Walker sits above the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 14:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video21% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 21% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 29% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 265 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 23, 20263.9x their median

    How you sleep tonight is being decided in the morning. ☀️ Light is the signal your body clock reads, and it wants the outdoor kind. Ten minutes by an open window or on the street will do it. Melatonin then shows up on time this evening. #SleepScience

    148814015K viewsView on X
  • Sep 24, 20263.1x their median

    Once you fall asleep, your brain changes jobs. In N2, short bursts called sleep spindles help coordinate brain activity involved in memory. N3, your deepest sleep, brings large, slow waves. In REM, the brain gets busy while most muscles rest. Each stage has its own work to do.

    12096011K viewsView on X
  • Jul 27, 20262.6x their median

    Deep sleep runs on sleep pressure, and sleep pressure is organised by a steady clock. ⏰ Let your wake time drift and the clock loses its grip on the deep stage. Fix your wake time — seven days a week — and protect a full 7–9hr window. It beats any capsule on the shelf. https://t.co/u5841LsuaD

    99106029K viewsView on X
  • Sep 19, 20262.2x their median

    There is a kind of energy that only the night can make.🌙 When 95 adults lost 78 minutes of sleep for six weeks, their weight rose by 0.45 kg and their still hours grew by 17.2 minutes a day. The willpower you look for at 3pm is built at 11pm. #SleepScience #sleep

    8367215K viewsView on X
  • Sep 23, 20262.1x their median

    A phone at arm's length sends light straight into your eyes, and the pull of what is on the screen keeps you there. 📱 Put the charger in another room. Buy a cheap alarm clock and turn its face away. The bedroom loses its most interesting object. #bettersleep

    8346014K viewsView on X
  • Sep 21, 20262.1x their median

    Light is the signal your brain reads as time of day. 💡 Lower it 30 to 60 minutes before bed. Choose something slow for that last stretch of the evening. Keep your sleep and wake hours steady and your body will learn the rhythm on its own. #SleepScience

    7948014K viewsView on X
  • Sep 20, 20262.0x their median

    Your brain writes the day into memory while you dream. 💭 Alcohol pushes REM later into the night. It takes some of that dreaming away. The hours after midnight come back in pieces. Put the glass down earlier and see how the morning feels. #SleepScience #Alcohol

    7556014K viewsView on X
  • Aug 24, 20261.7x their median

    Slide a sleeping person into a brain scanner during REM sleep and the deep, ancient regions light up — brainstem, thalamus — while the rational frontal cortex steps back. 🧠🌙 Sleep is a shift change, not a shutdown. #Neuroscience #Sleep https://t.co/ulINiRVP8z

    6336128K viewsView on X
  • Jul 6, 20261.5x their median

    We've long known sleep strengthens memory. 🧠 The newer, stranger finding runs the other way: the memories you carry to bed help build the night itself — its depth, its rhythm, its dreaming. Memory and sleep are a two-way conversation. 💤 #SleepScience #Memory https://t.co/ODv2lNNON7

    6061014K viewsView on X
  • Jun 22, 2026

    Your eye has a light meter, not just a camera. 🌥️ A small set of retinal cells ignore images and report one thing: how bright & what colour the world is. They feed the brain’s clock, alertness & mood—not your vision. #SleepScience #Neuroscience https://t.co/69uXTe35Uk

    4986021K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#sleep#sleepscience#circadianrhythm#neuroscience#alcohol

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 44 interactions against 455K followers, an engagement rate of 0.01%. Measured over 14 original posts, its engagement rate beats 34% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 14K times each, and 0.314% of those impressions turn into an interaction. That is about 3.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 21% carry an image or video, 57% are part of a thread and 29% link out. The account's strongest tracked post pulled 170 interactions, about 3.9x its own typical post. Recurring topics include #sleep, #sleepscience, #circadianrhythm.

What is Matt Walker's engagement rate on X?
Matt Walker (@sleepdiplomat) has an engagement rate of 0.01%, based on the median interactions across 14 original posts from the last 30 days against 455,451 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Matt Walker sits above the 10th percentile of the 204,694 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @sleepdiplomat have real engagement?
Its engagement rate beats 34% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @sleepdiplomat post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.17 posts per day across the measured window.

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