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Greg Brockman engagement report

@gdb - 1.1M followers on X

Measured over 7 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.296%
of 1.1M followers
Per impression
0.426%
748K views on a typical post
Reach
69.5%
of its followers see a post
Typical post
3.2K
interactions (median)
Saved
0.134%
1.0K bookmarks on a typical post
Posting rate
0.6/day
active 20% of days
Peak time
06:00 UTC
Wednesday

Early reading. We have captured 7 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 3.2K interactions against 1.1M followers, an engagement rate of 0.296%. Posts are seen about 748K times each, and 0.426% of those impressions turn into an interaction. That is about 69.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video and 43% link out. The account's strongest tracked post pulled 29K interactions, about 9.1x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on October 25, 2026.

Where this sits in the catalog

At 0.296%, Greg Brockman sits above the 50th percentile of the 204,313 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,313 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,878 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 percentile0.677%
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 06:00 UTC, and Wednesday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video43% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 43% 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.
  • 43% 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 800 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Oct 7, 20269.1x their median

    GPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone. Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot. https://t.co/XL2gDCPBwG

    24K1.9K1.5K1.6K6.9M viewsView on X
  • Sep 4, 20267.7x their median

    GPT-6 Astra is now available to all Pro, Enterprise, and Business Premium users in Work/Codex, and is available in the API. We will start rollout to Plus and Business users next. Thank you for the patience.

    22K9579222782.5M viewsView on X
  • Sep 10, 20266.6x their median

    GPT-Live-1 is now available in the API. Bring ChatGPT’s natural back-and-forth to your app, with voice agents that listen while they speak and work with the models and harness you choose. https://t.co/gIl1gwsBDV

    18K1.5K5669777.5M viewsView on X
  • Aug 9, 20265.6x their median

    the bottleneck is increasingly knowing what you want

    16K1.4K729322926K viewsView on X
  • Aug 26, 20264.7x their median

    We have conducted a thorough investigation into the Hugging Face incident. We are releasing a technical report and accompanying blog post that reconstruct the agents’ activity, explain why existing safeguards failed, and detail how we’re preventing recurrence. https://t.co/hfxlbiXXiP

    12K1.5K7531.1K12M viewsView on X
  • Sep 23, 20264.6x their median

    We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.

    12K9268336453.2M viewsView on X
  • Aug 1, 20263.2x their median

    at openai, many people hook their chatgpt up to slack. people really don't like when a coworker's chatgpt contacts them asking for help with a task, even when they'd be perfectly happy doing that same work if asked by that coworker. reinforces how much people care about human relationships and helping each other, and want AI to give time back — or enhance time together — rather than become a layer separating people.

    9.0K365527154872K viewsView on X
  • Sep 11, 20262.9x their median

    Three months ago, we launched ChatGPT Sites – an easy way for anyone to build and host fully functional, interactive web apps. Since then, people have created over 5M sites. We’ve been listening to your feedback and ICYMI, we’ve launched a few Sites updates: 🫂 Build together: Invite teammates to edit, save, and publish to your shared Site 🔐 Share privately: Invite specific people to a private Site without making it public 🚀 Launch faster: Go from prompt to deployment in half the time 👀 Explore your data: Ask ChatGPT to inspect your Site’s database. Editors can view it, too 🌐 Add your own custom domain

    8.2K5183442092.8M viewsView on X
  • Sep 7, 20262.7x their median

    ChatGPT Work can now pick up on what makes your writing sound like… you. Your favorite phrases. Your very specific sign-off. your capitalizations quirks. Connect the tools you use every day, like Gmail, Google Drive, Slack, and SharePoint, and ChatGPT Work will learn your writing style from your emails, messages, and files—and carry it into whatever you write next.

    7.5K4593752631.3M viewsView on X
  • Oct 21, 20262.7x their median

    GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it. That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders. With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets. https://t.co/oHdF3ELsMj

    7.0K7454013161.5M 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 3.2K interactions against 1.1M followers, an engagement rate of 0.296%. Posts are seen about 748K times each, and 0.426% of those impressions turn into an interaction. That is about 69.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 06:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 43% carry an image or video and 43% link out. The account's strongest tracked post pulled 29K interactions, about 9.1x its own typical post. Only 7 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 Greg Brockman's engagement rate on X?
Greg Brockman (@gdb) has an engagement rate of 0.296%, based on the median interactions across 7 original posts from the last 30 days against 1,077,221 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.296%, Greg Brockman sits above the 50th percentile of the 204,313 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 @gdb have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @gdb post?
Most posts go out around 06:00 UTC, and Wednesday is its busiest day, at roughly 0.6 posts per day across the measured window.

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