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Gary O’Neill engagement report

@garyoneill - 952K followers on X

Measured over 80 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 952K followers
Per impression
0.079%
2.5K views on a typical post
Reach
0.27%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.67/day
active 13% of days
Peak time
05:00 UTC
Thursday

A typical post picks up 2 interactions against 952K followers, an engagement rate of 0%. Measured over 80 original posts, its engagement rate beats 3% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.5K times each, and 0.079% of those impressions turn into an interaction. That is about 0.266% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. The account's strongest tracked post pulled 1.5K interactions, about 726x its own typical post.

Measured over 80 original posts from a 30-day window, last computed on October 15, 2026.

Compared with accounts its own size

Gary O’Neill's engagement rate beats 3% 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 5% 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 under 0.001%, Gary O’Neill sits below the 10th percentile of the 204,491 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 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 0% 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 147 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Aug 18, 2026726x their median

    Collected Grok Bot pro tips shared by the @bot team: 1) Connect multiple accounts across plugins (i.e. personal and work Gmail accounts) 2) One Chief of Staff plus a few specialists beats one mega-chat 3) Pin your top 1-2 agents for quick access 4) Have it keep a Notion page of outstanding work so you can ask "what's left" instead of babysitting 5) Treat each bot as a job, not a whole project 6) For difficult tasks, hit “teach a task” in the browser, record yourself doing it once, and the bot can repeat it 7) Ask the bot which team skills and plugins to turn on for your job 8) Tell your bot to generate an avatar for each of your bots 9) Consider turning on Always Allow and turning off Auto Review to make your bots more autonomous, make sure to test workflows first (be careful!) 10) Create sections in your sidebar to organize your bots 11) Resize the sidebar when you need additional space 12) Ask your bots to evaluate themselves and suggest improvements to workflows

    1.3K938220148K viewsView on X
  • Aug 28, 2026626x their median

    N3on starts his stream PERFECTLY recreating the VIRAL clip of himself from GTA 6 in real life with Camilla Araujo 😭 https://t.co/LFkgjIRwnB

    1.2K4783121K viewsView on X
  • Aug 24, 202653x their median

    Hot take: X right now is full of people glazing each other just to farm impressions. Everyone is boosting everyone, pretending everything is incredible and chasing the algorithm instead of actually building something worth talking about. It’s becoming an echo chamber.

    5954029.6K viewsView on X
  • Jul 26, 202648x their median

    A clean UI isn’t about looking modern. It’s about removing decisions the user shouldn’t have to make.

    79214032K viewsView on X
  • Aug 16, 202617x their median

    What’s the best business email provider? I’m stuck between Outlook and Gmail. Which one do you use for your business and would you recommend it?

    1401909.7K viewsView on X
  • Aug 23, 202615x their median

    The best code review removes more lines than it adds.

    1621019.0K viewsView on X
  • Aug 23, 202612x their median

    Quiet weeks of shipping with no applause are where the real product gets made.

    133805.7K viewsView on X
  • Aug 23, 202611x their median

    Users do not care how clever the architecture is. They care if it works on the first try.

    142606.0K viewsView on X
  • Aug 23, 202611x their median

    Most roadmaps are lists of things nobody will care about in 6 months.

    151607.4K viewsView on X
  • Aug 23, 202610x their median

    Stop adding onboarding steps and make the product obvious.

    151407.5K 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.

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Reading these numbers

A typical post picks up 2 interactions against 952K followers, an engagement rate of 0%. Measured over 80 original posts, its engagement rate beats 3% of 20,182 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.5K times each, and 0.079% of those impressions turn into an interaction. That is about 0.266% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. The account's strongest tracked post pulled 1.5K interactions, about 726x its own typical post.

What is Gary O’Neill's engagement rate on X?
Gary O’Neill (@garyoneill) has an engagement rate of 0%, based on the median interactions across 80 original posts from the last 30 days against 951,955 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At under 0.001%, Gary O’Neill sits below the 10th percentile of the 204,491 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 @garyoneill have real engagement?
Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (20,182 accounts), which puts it in the bottom 10% for its size 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 @garyoneill post?
Most posts go out around 05:00 UTC, and Thursday is its busiest day, at roughly 2.67 posts per day across the measured window.

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