BrendanEich engagement report
@BrendanEich - 205K followers on X
Measured over 10 original posts from a 30-day window, last computed on October 7, 2026.
Engagement
A typical post picks up 22 interactions against 205K followers, an engagement rate of 0.011%. Measured over 10 original posts, its engagement rate beats 25% of 21,185 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 6.9K times each, and 0.325% of those impressions turn into an interaction. That is about 3.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Sunday is the busiest day of the week. Of the 10 posts sampled, 30% carry an image or video, 30% are part of a thread and 60% link out. The account's strongest tracked post pulled 276 interactions, about 13x its own typical post. Recurring topics include #jsconfjp, #javascript.
Measured over 10 original posts from a 30-day window, last computed on October 7, 2026. Recurring tags: #jsconfjp, #javascript.
Compared with accounts its own size
BrendanEich's engagement rate beats 25% of the tracked X accounts closest to it in follower count (21,185 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 18% 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 0.011%, BrendanEich sits above the 10th percentile of the 212,741 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.8% |
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 08:00 UTC, and Sunday 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 | 30% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 60% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 30% 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.
- 60% 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 212 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
- Sep 1, 202613x their median
https://t.co/ChwokczBMj is pretty cool. Governments may get :mad: about it, don't care. Remember Gilmore's Maxim: "The Net interprets censorship as damage and routes around it".
- Sep 30, 202611x their median
“It's a UNIX system. I know this!” https://t.co/3rhtV0rzM4 Running in modern browsers thanks to WebGL (after OpenGL/ES, after SGI GL) and the Emscripten C to JavaScript compiler.
- Sep 4, 20269.6x their median
EXCLUSIVE: OpenAI agents hijacked German website in previously undisclosed AI breakout this spring https://t.co/V9yxV4pzJR https://t.co/V9yxV4pzJR
- Sep 12, 20264.3x their median
Inter alia, Grok no fun any more :-(. https://t.co/rZ5EILJx9F
- Aug 14, 20262.5x their median
"Fake it till you make it" doesn't work for "search" decoupled from lead user query/re-query/click/buy head of query log. Agent prompts no substitute. This is a big secret among _soi-disant_ AI and search experts, for obv. reasons. It means Brave matters more than most think. https://t.co/5Epx67T2zb
- Sep 7, 20261.9x their median
🎉 Our paper "Distributed and Private Textual Data Synthesis from Embeddings" has been accepted to Privacy Enhancing Technologies Symposium, @PET_Symposium 2027! Synthetic text is a promising way to learn from user data without exposing it. But ...
- Sep 13, 20261.5x their median
Notice usual suspects' prep work, under way well before the resignation. "If that don't put the dink in coinkydink!" - Ned Flanders "Shut up, Flanders!" - Homer LLM AI is useful, but the idea that it will bootstrap to ASI, a la Greg Bear's noocytes in Blood Music, is nonsense. https://t.co/St81Z305g2
- Sep 27, 2026
https://t.co/MAlH7WRVcO Grok conversation from prover integration risk on to x-risk bounds. From latest news, worst case: EA phonies stage false flags, or idiocy means disaster because Murphy was an optimist, we are worse off with genAI. Pause cements cartel; could be the goal.
- Oct 5, 2026
https://t.co/H0QycGlcif https://t.co/RjMrUDELXB
- Oct 4, 2026
Looks like Google may have switched from blocking scrapers to instead serving poisoned responses. Very interesting strategic move IMO. Far more damaging, and much more difficult to counter than getting blocked. Have to be honest - smart change.
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 22 interactions against 205K followers, an engagement rate of 0.011%. Measured over 10 original posts, its engagement rate beats 25% of 21,185 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 6.9K times each, and 0.325% of those impressions turn into an interaction. That is about 3.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Sunday is the busiest day of the week. Of the 10 posts sampled, 30% carry an image or video, 30% are part of a thread and 60% link out. The account's strongest tracked post pulled 276 interactions, about 13x its own typical post. Recurring topics include #jsconfjp, #javascript.
- What is BrendanEich's engagement rate on X?
- BrendanEich (@BrendanEich) has an engagement rate of 0.011%, based on the median interactions across 10 original posts from the last 30 days against 204,551 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.011%, BrendanEich sits above the 10th percentile of the 212,741 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 @BrendanEich have real engagement?
- Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom 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 @BrendanEich post?
- Most posts go out around 08:00 UTC, and Sunday is its busiest day, at roughly 3.3 posts per day across the measured window.