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antirez engagement report

@antirez - 83K followers on X

Measured over 27 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Top quarter for its size
Per follower
0.541%
of 83K followers
Per impression
1.61%
28K views on a typical post
Reach
33.6%
of its followers see a post
Typical post
448
interactions (median)
Saved
0.151%
42 bookmarks on a typical post
Posting rate
1.87/day
active 73% of days
Peak time
13:00 UTC
Monday

A typical post picks up 448 interactions against 83K followers, an engagement rate of 0.541%. Measured over 27 original posts, its engagement rate beats 80% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 28K times each, and 1.61% of those impressions turn into an interaction. That is about 33.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 27 posts sampled, 26% carry an image or video and 26% are part of a thread. The account's strongest tracked post pulled 3.0K interactions, about 6.6x its own typical post.

Measured over 27 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

antirez's engagement rate beats 80% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 55% 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 0.541%, antirez sits above the 50th percentile of the 212,925 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.698%.

p100.004%
p250.025%
p50 (median)0.146%
p750.698%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,925 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.025%
50th percentile0.146%
75th percentile0.698%
90th percentile2.61%
99th percentile83.0%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video26% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 26% 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.
  • 4% 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 228 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

  • Aug 26, 20266.6x their median

    Btw the Redis story repeats itself: I'm working at DwarfStar for free for the community and because I enjoy it. But I'm receiving criticisms, since people are worried that this will break their AI-richness plans. I want to say to everybody thinking that I should stop that each time you tell me this, I'll double down my efforts towards a completely no profit engine for local inference. Better to shut up basically.

    2.6K1751281785K viewsView on X
  • Sep 29, 20265.0x their median

    I claim that if you are a normal person that like me don't have "fuck you money", so unable to spend large sums of money randomly, you should do all your programming work with two max accounts (OpenAI / Anthropic for instance) in the worst case, and never buy tokens via API.

    2.0K4415321163K viewsView on X
  • Sep 28, 20264.7x their median

    The most ridiculous thing about the AI-coding age is that in the last 20 years programmers accepted otherwise all the kind of shit: terrible frameworks, languages, layers of complexity everywhere, everything super slow. Very very few protested, since destroying the field didn't involve their paycheck.

    1.9K10611712136K viewsView on X
  • Sep 16, 20264.4x their median

    Witch hunting level: some guy uses AI to reverse engineer an M4 GPU driver for Linux and part of the community that should be for the open source, for the hacking, for the liberation and freedom is against him.

    1.8K5853884K viewsView on X
  • Sep 21, 20263.6x their median

    Jev may have its (narrow) use cases but the hype you see around is the perfect representation of the fact the greatest part of the AI bubble don't know what is important and what is not. Jev is a minor thing happening on AI compared to all the rest, yet the hype exploded.

    1.4K7615624144K viewsView on X
  • Sep 3, 20263.4x their median

    We don't give a !(@$# about what the new model can generate with three.js. We want to know if you had a blocking problem X in software Y that many rounds of the old models didn't fix, and the new model just released improved the situation.

    1.4K69601851K viewsView on X
  • Sep 26, 20263.3x their median

    So it was not impossible... just super hard. This is the 48k Spectrum... https://t.co/NqeoWA8cab

    1.3K100922083K viewsView on X
  • Sep 5, 20263.0x their median

    Astra is a big jump forward for software development. Can do much better in less time, it suffers less from the kind of over-complication and lack of focus on what matters of past LLMs. We are seeing bigger and bigger models scaled by RLVR, a trend unlikely to stop soon.

    1.2K5151252K viewsView on X
  • Sep 23, 20262.9x their median

    Trivially known for years but since apparently every year everything about machine learning is new to newcomers... https://t.co/xRR0I1duJT

    1.2K32345107K viewsView on X
  • Aug 27, 20262.6x their median

    There was never a time in the history of information technology where a small team could be as strong as today relative to it's size.

    1.0K82421271K 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 448 interactions against 83K followers, an engagement rate of 0.541%. Measured over 27 original posts, its engagement rate beats 80% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 28K times each, and 1.61% of those impressions turn into an interaction. That is about 33.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 27 posts sampled, 26% carry an image or video and 26% are part of a thread. The account's strongest tracked post pulled 3.0K interactions, about 6.6x its own typical post.

What is antirez's engagement rate on X?
antirez (@antirez) has an engagement rate of 0.541%, based on the median interactions across 27 original posts from the last 30 days against 83,484 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.541%, antirez sits above the 50th percentile of the 212,925 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 @antirez have real engagement?
Its engagement rate beats 80% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top quarter 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 @antirez post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.87 posts per day across the measured window.

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