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Tim O'Reilly engagement report

@timoreilly - 4.6M followers on X

Measured over 10 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 4.6M followers
Per impression
0.351%
90K views on a typical post
Reach
1.97%
of its followers see a post
Typical post
316
interactions (median)
Saved
0.064%
58 bookmarks on a typical post
Posting rate
2.1/day
active 67% of days
Peak time
23:00 UTC
Thursday

A typical post picks up 316 interactions against 4.6M followers, an engagement rate of 0.007%. Measured over 10 original posts, its engagement rate beats 29% 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 90K times each, and 0.351% of those impressions turn into an interaction. That is about 1.97% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 23:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 40% carry an image or video and 70% link out. The account's strongest tracked post pulled 16K interactions, about 76x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Tim O'Reilly's engagement rate beats 29% 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 24% 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 0.007%, Tim O'Reilly sits above the 10th percentile of the 204,424 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 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 23:00 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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 video40% of posts+111%+108% to +115%34K
Outbound link70% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 40% 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.
  • 70% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 541 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

  • Mar 18, 202676x their median

    Today, I journeyed to an obscure part of the Capitol basement to see the long-awaited plaque honoring the police officers who defended Congress and America against Trump’s insurrectionary mob on January 6, 2021. To his credit, Sen. Tillis joined Democrats in demanding it be put up, but this spot is not accessible to the public. Speaker Johnson, come on—put the plaque in its rightful place of honor.

    10K3.0K2.5K153180K viewsView on X
  • Mar 16, 202669x their median

    This is 100% completely unsustainable as a society. Nearly 50% of all consumer spending now comes from the top 10% of earners. The bottom 80%? Their share keeps falling. This is why the economy can look strong in the data while millions of people feel like they're falling behind.

    11K3.1K439299906K viewsView on X
  • Apr 17, 2026155x their median

    Anthropic CEO Dario Amodei: “50% of all tech jobs, entry-level lawyers, consultants, and finance professionals will be completely wiped out within 1–5 years.” https://t.co/sXcT59gWYj

    6.3K1.1K1.0K1.3K8.6M viewsView on X
  • Apr 19, 2026139x their median

    JD Vance: “It's very, very important for the pope to be careful when he talks about matters of theology." https://t.co/Kx0yr8L7I1

    4.1K8552.8K1.1K3.8M viewsView on X
  • Apr 19, 2026112x their median

    hot take :) The biggest and most productive people in the AI era are the folks who are already good at their jobs. AI as a multiplier, not an equalizer/democratizer

    6.0K581329120331K viewsView on X
  • Apr 30, 202699x their median

    The national debt just exceeded 100% of GDP for the first time since 1946: https://t.co/VSDBUUTaUH https://t.co/95ff7qRwJG

    3.8K1.9K249402689K viewsView on X
  • Apr 19, 202627x their median

    OVERRATED: running tons of agents in parallel; working on too many things at once; perpetual context-switching; opening lots of low-quality PRs that may never land. UNDERRATED: using one or two agents at a time; focusing on the task in front of you; thinking deeply; finishing stuff; making your code works in prod.

    4.9K39022083248K viewsView on X
  • Sep 9, 202615x their median

    Not enough people are seriously trying to reconcile the two facts: - models can now resolve Millennium Problems - annualized US GDP growth is at 1.5%

    4.1K13522591622K viewsView on X
  • Mar 30, 202619x their median

    The loudest story about AI is a lonely one. One person with an army of chatbots. Other humans are friction. That gets the future wrong. The best things aren’t built alone. In a moment of change, we want to remind the world (and ourselves) what Notion stands for: — Think Together

    3.1K4112002711.2M viewsView on X
  • Oct 6, 202611x their median

    Today we’re announcing Personal Agent Protocol — an open standard @Meta and @SierraPlatform are developing along with industry partners at @Genesys, @instinct, @RocketOTD, @Shopify, @stripe, and @Walmart. It will help define how personal agents interact with businesses and is open for anyone to implement. You can read more here - and if anyone is interested in joining let me know! https://t.co/Yb90VEHMnn

    2.9K262226144361K 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 316 interactions against 4.6M followers, an engagement rate of 0.007%. Measured over 10 original posts, its engagement rate beats 29% 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 90K times each, and 0.351% of those impressions turn into an interaction. That is about 1.97% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 23:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 40% carry an image or video and 70% link out. The account's strongest tracked post pulled 16K interactions, about 76x its own typical post.

What is Tim O'Reilly's engagement rate on X?
Tim O'Reilly (@timoreilly) has an engagement rate of 0.007%, based on the median interactions across 10 original posts from the last 30 days against 4,560,682 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Tim O'Reilly sits above the 10th percentile of the 204,424 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 @timoreilly have real engagement?
Its engagement rate beats 29% 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 @timoreilly post?
Most posts go out around 23:00 UTC, and Thursday is its busiest day, at roughly 2.1 posts per day across the measured window.

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