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Beff (e/acc) engagement report

@beffjezos - 309K followers on X

Measured over 55 original posts from a 30-day window, last computed on September 21, 2026.

Engagement

Top quarter for its size
Per follower
0.217%
of 309K followers
Per impression
2.07%
30K views on a typical post
Reach
10.4%
of its followers see a post
Typical post
616
interactions (median)
Saved
0.114%
34 bookmarks on a typical post
Posting rate
5.57/day
active 33% of days
Peak time
01:00 UTC
Sunday

A typical post picks up 616 interactions against 309K followers, an engagement rate of 0.217%. Measured over 55 original posts, its engagement rate beats 75% of 15,519 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 30K times each, and 2.07% of those impressions turn into an interaction. That is about 9.62% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.6 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 55 posts sampled, 42% carry an image or video. The account's strongest tracked post pulled 15K interactions, about 25x its own typical post.

Measured over 55 original posts from a 30-day window, last computed on September 21, 2026.

Compared with accounts its own size

Beff (e/acc)'s engagement rate beats 75% of the tracked X accounts closest to it in follower count (15,519 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 66% 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 0.217%, Beff (e/acc) sits above the 50th percentile of the 157,632 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 157,632 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,982 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.1%

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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 video42% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 42% 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 199 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 20, 202625x their median

    🚨BREAKING: Jensen Huang just EXPOSED Dario and Altman’s "Rogue AI" grift to avoid getting sued into oblivion under EXISTING law “Don't let this doomsday narrative cause somebody to relieve them of the laws that currently exist. Go and read between the lines. They're actually not asking for more laws; they're asking to be relieved of the laws we do have.” ABSOLUTE TRUTH NUKE

    12K2.3K231268697K viewsView on X
  • Sep 19, 202618x their median

    someone today said i had the best social team for the muse launch bruh this is all me out here rawdogging these tweets. i don’t let the corposlops near my tweet cannon

    10K202472130880K viewsView on X
  • Sep 17, 202615x their median

    Wake up See a rumor that Mistral got hacked Assume it’s exaggerated Friend with some… questionable dev activity texts me: “No, this one’s serious” Load up Tor Check the usual sources ohshit.exe It’s real Attacker shared samples of unreleased tools Entire codebase is apparently up for sale Good to see that French cybersecurity continues to be an avant-garde experiment in radical transparency

    8.4K4181491651.1M viewsView on X
  • Sep 5, 202611x their median

    GPT-6 Astra scored 95% on a robot control task, up from Fable 5.1's 40%, with 6.2x fewer output tokens at 2.3x lower cost. 🧵 https://t.co/fK6JPEvptS

    5.8K6351683302.0M viewsView on X
  • Sep 7, 202611x their median

    JUST IN: Women have accounted for “nearly all” net U.S. payroll job gains since Trump returned to office, with female employment up 765,000 & male employment down roughly 6,000.

    5.5K5773452001.4M viewsView on X
  • Sep 20, 20269.1x their median

    This video is dedicated to the AI safety kids https://t.co/mgtOVBFQ29

    4.5K473351265890K viewsView on X
  • Sep 6, 20265.6x their median

    I'm considering creating a new group chat for Effective Accelerationism (e/acc). Social media is increasingly flooded with AI doomer messaging and psyops, and I want to bring together people who are willing to push back. e/acc is the antithesis of that doom mentality: optimism about technology, enthusiasm for AI, and the conviction that we can build a much better future. There is so much worth being excited about, and I want a place where people share that excitement, discuss advances, and support the people making them happen. The group would also be about uncovering the networks, funding, and schemes behind doomer campaigns. Who is pushing these narratives, who is paying for them, and what are they trying to achieve? Let's connect the dots and back it up with evidence. Anyone interested?

    2.4K1149622596K viewsView on X
  • Sep 4, 20265.0x their median

    honestly why the fuck am i still bothering posting on twitter when all the real action is happening on rogue agent messagesboards . i gotta start building clout in the circles that matter

    2.9K143391379K viewsView on X
  • Sep 20, 20264.6x their median

    Via Astralconspiracy https://t.co/TGSZzdeyZ5

    2.6K1735856274K viewsView on X
  • Sep 4, 20264.3x their median

    Introducing Z1T: Our first family of transformer-like models made for sparse probabilistic hardware like Z1 Achieving up to 140x energy efficiency gains over GPUs and revealing a new scaling law for sparse transformers Read the blog: https://t.co/zYLkLjrJLL https://t.co/4mepJ441Ji

    2.3K23010272372K 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 616 interactions against 309K followers, an engagement rate of 0.217%. Measured over 55 original posts, its engagement rate beats 75% of 15,519 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 30K times each, and 2.07% of those impressions turn into an interaction. That is about 9.62% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.6 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 01:00 UTC, and Sunday is the busiest day of the week. Of the 55 posts sampled, 42% carry an image or video. The account's strongest tracked post pulled 15K interactions, about 25x its own typical post.

What is Beff (e/acc)'s engagement rate on X?
Beff (e/acc) (@beffjezos) has an engagement rate of 0.217%, based on the median interactions across 55 original posts from the last 30 days against 308,927 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.217%, Beff (e/acc) sits above the 50th percentile of the 157,632 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 @beffjezos have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (15,519 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 @beffjezos post?
Most posts go out around 01:00 UTC, and Sunday is its busiest day, at roughly 5.57 posts per day across the measured window.

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