Gary O’Neill engagement report
@garyoneill - 955K followers on X
Measured over 52 original posts from a 30-day window, last computed on August 27, 2026.
Engagement
A typical post picks up 4 interactions against 955K followers, an engagement rate of 0%. Measured over 52 original posts, its engagement rate beats 6% of 3,739 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 4.3K times each, and 0.093% of those impressions turn into an interaction. That is about 0.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 11:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 1.4K interactions, about 361x its own typical post.
Measured over 52 original posts from a 30-day window, last computed on August 27, 2026.
Compared with accounts its own size
Gary O’Neill's engagement rate beats 6% of the tracked X accounts closest to it in follower count (3,739 accounts, accounts of similar size (decile 9 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 7% 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 36,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.431% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 11:00 UTC, and Friday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 51K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 71K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 93K |
| 14:00 UTC | -3% | 96K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 229K |
| Monday | 0% | 284K |
| Tuesday | -2% | 273K |
| Wednesday | -1% | 250K |
| Thursday | -2% | 243K |
| Friday | -3% | 251K |
| Saturday | +3% | 226K |
Best tweets
- Aug 18, 2026361x 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
- Aug 24, 202626x 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.
- Jul 26, 202624x their median
A clean UI isn’t about looking modern. It’s about removing decisions the user shouldn’t have to make.
- Aug 16, 20268.3x 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?
- Aug 23, 20267.0x their median
The best code review removes more lines than it adds.
- Aug 23, 20266.0x their median
Quiet weeks of shipping with no applause are where the real product gets made.
- Aug 23, 20265.8x their median
Most roadmaps are lists of things nobody will care about in 6 months.
- Aug 23, 20265.3x their median
Users do not care how clever the architecture is. They care if it works on the first try.
- Aug 23, 20264.8x their median
Stop adding onboarding steps and make the product obvious.
- Aug 17, 20264.0x their median
The moment you start building for metrics instead of people is the moment the product starts dying. How do you catch yourself when that starts happening?
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 4 interactions against 955K followers, an engagement rate of 0%. Measured over 52 original posts, its engagement rate beats 6% of 3,739 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 4.3K times each, and 0.093% of those impressions turn into an interaction. That is about 0.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 11:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 1.4K interactions, about 361x 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 52 original posts from the last 30 days against 954,791 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 36,261 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 6% of the tracked X accounts closest to it in follower count (3,739 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 11:00 UTC, and Friday is its busiest day, at roughly 1.83 posts per day across the measured window.