Back to @BrendanEich's profile

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

Bottom quarter for its size
Per follower
0.011%
of 205K followers
Per impression
0.325%
6.9K views on a typical post
Reach
3.39%
of its followers see a post
Typical post
22
interactions (median)
Saved
0.051%
4 bookmarks on a typical post
Posting rate
3.3/day
active 87% of days
Peak time
08:00 UTC
Sunday

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%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile0.697%
90th percentile2.61%
99th percentile82.8%

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.

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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video30% of posts+111%+108% to +115%34K
Outbound link60% 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".

    243257121K viewsView on X
  • 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.

    2162113216K viewsView on X
  • 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

    145421114243K viewsView on X
  • Sep 12, 20264.3x their median

    Inter alia, Grok no fun any more :-(. https://t.co/rZ5EILJx9F

    8058111K viewsView on X
  • 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

    452349.5K viewsView on X
  • 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 ...

    3461113K viewsView on X
  • 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

    312104.6K viewsView on X
  • 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.

    164306.4K viewsView on X
  • Oct 5, 2026

    https://t.co/H0QycGlcif https://t.co/RjMrUDELXB

    191204.9K viewsView on X
  • 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.

    122137.4K 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.

Recurring topics

#jsconfjp#javascript

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

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.

Keep going