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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 26% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 4% 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Sep 26, 20263.3x their median
So it was not impossible... just super hard. This is the 48k Spectrum... https://t.co/NqeoWA8cab
- 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.
- 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
- 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.
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.