Back to @AndrewMayne's profile

Andrew Mayne engagement report

@AndrewMayne - 677K followers on X

Measured over 20 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 677K followers
Per impression
0.27%
13K views on a typical post
Reach
1.94%
of its followers see a post
Typical post
36
interactions (median)
Saved
0.038%
5 bookmarks on a typical post
Posting rate
1.47/day
active 67% of days
Peak time
19:00 UTC
Thursday

A typical post picks up 36 interactions against 677K followers, an engagement rate of 0.005%. Measured over 20 original posts, its engagement rate beats 26% of 20,182 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 13K times each, and 0.27% of those impressions turn into an interaction. That is about 1.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 75% carry an image or video, 5% are part of a thread and 10% link out. The account's strongest tracked post pulled 131K interactions, about 3641x its own typical post.

Measured over 20 original posts from a 30-day window, last computed on October 3, 2026.

Compared with accounts its own size

Andrew Mayne's engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,182 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 19% 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 0.005%, Andrew Mayne sits above the 10th percentile of the 204,313 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 204,313 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,878 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 19:00 UTC, and Thursday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video75% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% 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.
  • 10% 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 305 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Jul 31, 20263641x their median

    ‘SPIDER-MAN: BRAND NEW DAY’ has earned $74.5M in domestic previews. Biggest box office preview number OF ALL TIME, passing ‘Avengers: Endgame’. https://t.co/ysBgvU2ZXi

    119K9.4K8701.7K4.2M viewsView on X
  • Jul 25, 2026267x their median

    Claude Opus 5 one-shotted this game. EVERYTHING you see in this demo is custom code... not a single external asset was used. AI games are going to be amazing. (sound on)

    7.8K5017735195.0M viewsView on X
  • Jul 30, 2026191x their median

    Good news for anyone with too many tabs: ChatGPT is getting better around the web. 🧩 Chrome extension: In Side Chat, ask about a YouTube video, reference your open tabs, or highlight text on a page and ask away. 💻 Desktop app: Get URL suggestions as you type, revisit your browser history, and choose how it’s managed. Rolling out today.

    6.1K422269120968K viewsView on X
  • Sep 12, 2026141x their median

    rumors that the kimi team has been disappeared after leaking national secrets to claude https://t.co/L01cYtzKB9

    4.5K3458184516K viewsView on X
  • Jul 23, 202631x their median

    Why create robot intelligence for just one hand, when we could have it learn from many? GEN-1, our latest embodied foundation model, now supports a broad range of end effectors from 5-finger hands, to specialized tools, and everything in between. https://t.co/ECKlXvARdx

    9181093361304K viewsView on X
  • Aug 28, 202621x their median

    At OpenAI, it's felt like our researchers & engineers have been living in the future with Codex. Today, we're bringing that same experience to life science researchers with the Rosalind Workbench. https://t.co/RrUl6PK6Wi

    592923925175K viewsView on X
  • Sep 30, 202620x their median

    just out of curiosity... would you rather separate or all in one? https://t.co/ZUD9N0vp84

    4476250868K viewsView on X
  • Aug 25, 20269.7x their median

    some investors have been asking me lately about the wave of inference chip startups. My answer: we need real performance data before forming a view. So here’s ours. Across three public models on InferenceX, Jalapeño delivered: • 1.5–1.9× more AI work per watt • 1.7–3.6× lower end-to-end latency • 2.1–4.1× higher performance on highly interactive workloads When I joined OpenAI, Richard had a small team and was just getting started. very proud to be his first strategic finance partner and what the team has built. https://t.co/QFOvCDLPZX

    314209661K viewsView on X
  • Sep 8, 20268.3x their median

    Using GPT-Image 2.5 to created animated GIFs from a sketch. It only took a few notes to get to this: https://t.co/hTXdKgrjCA

    276146230K viewsView on X
  • Aug 10, 20266.6x their median

    A true issue with data centers compared with the light industries of previous Industrial Revolutions is they don’t require many people to run (though building them takes more). It breaks the industry trade-offs between palpable local negative externalities & palpable local gains.

    207821338K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 36 interactions against 677K followers, an engagement rate of 0.005%. Measured over 20 original posts, its engagement rate beats 26% of 20,182 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 13K times each, and 0.27% of those impressions turn into an interaction. That is about 1.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 75% carry an image or video, 5% are part of a thread and 10% link out. The account's strongest tracked post pulled 131K interactions, about 3641x its own typical post.

What is Andrew Mayne's engagement rate on X?
Andrew Mayne (@AndrewMayne) has an engagement rate of 0.005%, based on the median interactions across 20 original posts from the last 30 days against 676,518 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, Andrew Mayne sits above the 10th percentile of the 204,313 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 @AndrewMayne have real engagement?
Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (20,182 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 @AndrewMayne post?
Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 1.47 posts per day across the measured window.

Keep going