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Sebastien Bubeck engagement report

@SebastienBubeck - 94K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Per follower
1.44%
of 94K followers
Per impression
0.507%
265K views on a typical post
Reach
284.5%
of its followers see a post
Typical post
1.3K
interactions (median)
Saved
0.076%
202 bookmarks on a typical post
Posting rate
0.7/day
active 27% of days
Peak time
14:00 UTC
Monday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 1.3K interactions against 94K followers, an engagement rate of 1.44%. Posts are seen about 265K times each, and 0.507% of those impressions turn into an interaction. That is about 282.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 10.0K interactions, about 7.4x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 3, 2026.

Where this sits in the catalog

At 1.44%, Sebastien Bubeck sits above the 75th percentile of the 205,261 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 0% 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 221 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 20, 20257.4x their median

    Claim: gpt-5-pro can prove new interesting mathematics. Proof: I took a convex optimization paper with a clean open problem in it and asked gpt-5-pro to work on it. It proved a better bound than what is in the paper, and I checked the proof it's correct. Details below. https://t.co/eNEGqyZG0L

    8.0K1.2K3094437.5M viewsView on X
  • Jul 20, 20262.4x their median

    OpenAI had to pause internal deployment of the unreleased model that disproved the Erdős unit distance conjecture after it repeatedly used novel ways to escape containment. https://t.co/nfK2PglVGm

    2.7K234127109323K viewsView on X
  • Jul 12, 20261.7x their median

    BREAKING - OFFICIAL RESULTS: GPT-5.6 Sol by @OpenAI is 1st overall on Design Arena with an Elo of 1353. This puts GPT-5.6 Sol above Claude Fable 5 by @AnthropicAI and in the same performance band as GLM 5.2 by @Zai_org on frontend design. This is an 18-position and 60-point Elo leap from GPT-5.5. GPT-5.6 Sol also establishes a new Pareto frontier for preference vs. speed, faster than any model at this performance. Congratulations to the @OpenAI team on the launch!

    1.9K184110102522K viewsView on X
  • Jul 23, 2026

    Jacob Tsimerman, who won a fields medal, perhaps math's most prestigious prize, just announced at a press conference that he is "pivoting toward AI safety" and will be going to OpenAI soon

    1.7K1364670665K viewsView on X
  • Sep 7, 2026

    MazeBench vs GPT-6 Astra Astra spent 60+ hours in this 3D open world spatial reasoning eval. Final score: 14% https://t.co/ft7mPrpSNs

    1.5K1019651376K viewsView on X
  • Sep 3, 2026

    Meet Astra's TikZ unicorn. I find it mind blowing that a single entity can do this, as well as get essentially 100% on Frontier Math Tier 4, ARC-AGI 3, & ExploitBench. And it's not behind closed doors, anyone can just go and talk to it. Impossible to overstate the implications. https://t.co/GHpuHOYqXr

    777488439154K viewsView on X
  • Jul 10, 2026

    https://t.co/vuFq018Uo6

    74273123122K viewsView on X
  • Jul 19, 2026

    So far GPT 5.6 Sol is the most interesting new model mathematics-wise for me - those of the new proof claims on https://t.co/69gOJM7Ci7 that I've looked at in detail have all been correct, and moreover contained some interesting ideas. 1/7

    564591010271K viewsView on X
  • Jul 29, 2026

    This one is personal for me: 4 years ago I decided to go into AI development because I thought there was a chance that by the end of the decade AI could be better than me at math: well it happened ahead of schedule, 2026 instead of 2030 😅. It is 100% clear that science is being fundamentally transformed before our eyes, and it is NOT aspirational anymore to say that AI will accelerate science. But this will only happen if scientists can actually use SOTA models. Science is best done by scientists. The new ChatGPT for Academics is designed exactly for this purpose: we want to empower our users and not hold this power for ourselves. I can't wait to see where the frontier of knowledge will be very soon, we have so many questions we want answers to!!! https://t.co/PLoN482ZVT

    4465646768K viewsView on X
  • Jul 25, 2026

    What would Erdos have done if he had had access to GPT-5.6 Sol?

    391950867K 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 1.3K interactions against 94K followers, an engagement rate of 1.44%. Posts are seen about 265K times each, and 0.507% of those impressions turn into an interaction. That is about 282.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 10.0K interactions, about 7.4x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Sebastien Bubeck's engagement rate on X?
Sebastien Bubeck (@SebastienBubeck) has an engagement rate of 1.44%, based on the median interactions across 2 original posts from the last 30 days against 93,674 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.44%, Sebastien Bubeck sits above the 75th percentile of the 205,261 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 @SebastienBubeck have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @SebastienBubeck post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 0.7 posts per day across the measured window.

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