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Greg Brockman engagement report

@gdb - 1.0M followers on X

Measured over 28 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Top quarter for its size
Per follower
0.165%
of 1.0M followers
Per impression
0.512%
335K views on a typical post
Reach
32.3%
of its followers see a post
Typical post
1.7K
interactions (median)
Saved
0.089%
300 bookmarks on a typical post
Posting rate
2.33/day
active 67% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 1.7K interactions against 1.0M followers, an engagement rate of 0.165%. Measured over 28 original posts, its engagement rate beats 80% of 4,067 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 335K times each, and 0.512% of those impressions turn into an interaction. That is about 32.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 28 posts sampled, 50% carry an image or video and 29% link out. The account's strongest tracked post pulled 18K interactions, about 11x its own typical post.

Measured over 28 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

Greg Brockman's engagement rate beats 80% of the tracked X accounts closest to it in follower count (4,067 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 33% 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 0.165%, Greg Brockman sits above the 50th percentile of the 39,368 accounts in this comparison. That places it in the above the median band, which runs 0.082% to 0.442%.

p100.002%
p250.013%
p50 (median)0.082%
p750.442%
p902.09%
p99152.1%
Engagement rate as a share of followers, across the 39,368 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 95,038 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 percentile0.002%
25th percentile0.013%
50th percentile0.082%
75th percentile0.442%
90th percentile2.09%
99th percentile152.1%

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 17:00 UTC, and Thursday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%55K
01:00 UTC-2%56K
02:00 UTC-4%54K
03:00 UTC-4%58K
04:00 UTC-6%47K
05:00 UTC-4%45K
06:00 UTC-5%52K
07:00 UTC-5%56K
08:00 UTC-4%66K
09:00 UTC-4%76K
10:00 UTC-3%78K
11:00 UTC-3%85K
12:00 UTC-2%94K
13:00 UTC-3%102K
14:00 UTC-3%105K
15:00 UTC-1%109K
16:00 UTC-3%106K
17:00 UTC-2%98K
18:00 UTC-1%92K
19:00 UTC-2%87K
20:00 UTC-1%81K
21:00 UTC-1%72K
22:00 UTC-2%62K
23:00 UTC-2%56K
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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%245K
Monday+1%313K
Tuesday-3%327K
Wednesday-3%275K
Thursday-2%256K
Friday-3%266K
Saturday+3%240K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 9, 202611x their median

    the bottleneck is increasingly knowing what you want

    16K1.4K737319918K viewsView on X
  • Aug 26, 20268.6x 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

    11K1.5K7331.1K11M viewsView on X
  • Aug 1, 20265.9x 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.

    9.1K368531153870K viewsView on X
  • Aug 2, 20264.7x their median

    my dad using gpt 5.6 sol for the 1st time: - wanted to build a webpage about indigenous south african fynbos (extreme plant dad) - read all of the thinking states as it streamed - final thoughts on the HTML file: “its gorgeous, its absolutely gorgeous” https://t.co/GF4Ju26AO0

    7.7K17416752886K viewsView on X
  • Aug 27, 20263.1x their median

    An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, AWS, Google, Microsoft, OpenAI, and Oracle. https://t.co/uKXPS8LdAU

    3.9K6803943681.3M viewsView on X
  • Aug 4, 20262.7x their median

    Luna is such an insane value after the 80% cost reduction. It's basically free and can do a ton of real data processing type work. I'm overhauling title generation in T3 Code to take more advantage of it. I almost want to spin it up on every prompt to generate descriptions, feedback, and statuses. Why wouldn't I? It's basically free

    4.4K5920125476K viewsView on X
  • Aug 15, 20262.4x their median

    This went under the radar this week, but we just shipped the ability for models with multi agents v2 to delegate to any supported model, including Luna! Took a bit of time to make sure this worked reliably https://t.co/84Wto45mzA

    3.4K2252671621.7M viewsView on X
  • Jul 31, 20261.6x their median

    Your pets have found a shortcut to ChatGPT Voice 👀 In the desktop app, click your pet to open Voice, check on work, and approve or stop tasks without missing a beat. https://t.co/IYYc41bEv2

    2.3K18014747417K viewsView on X
  • Aug 6, 2026

    Black Hat talk from the team, with a detailed timeline of and takeaways from the OpenAI-Hugging Face Incident: https://t.co/GtXWiAZ2RQ

    2.0K2271181931.4M viewsView on X
  • Aug 7, 2026

    Learn 99% of ChatGPT Work in 61 minutes: GPT Work is like Codex in the cloud. It works on phone, web, and desktop. And I've been using it to run my business. These are the 14 knowledge work capabilities. 00:00 Intro 03:18 #1 Presentations 09:16 #2 Plugins 17:36 #3 Blocks 23:34 #4 Websites & Apps & Hosting 30:09 #6 Branching Chats 31:51 #7 Desktop App (Cloud vs Local) 37:01 #8 Voice Mode 41:36 #9 Remote Voice Mode 45:52 #10 In-App Browser 48:50 #11 Skills 51:45 #12 Scheduled Automations 54:37 #13 Spreadsheets 56:58 #14 Multi-Agent Workspace 59:19 Final Review

    2.2K1987839881K 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 1.7K interactions against 1.0M followers, an engagement rate of 0.165%. Measured over 28 original posts, its engagement rate beats 80% of 4,067 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 335K times each, and 0.512% of those impressions turn into an interaction. That is about 32.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 28 posts sampled, 50% carry an image or video and 29% link out. The account's strongest tracked post pulled 18K interactions, about 11x its own typical post.

What is Greg Brockman's engagement rate on X?
Greg Brockman (@gdb) has an engagement rate of 0.165%, based on the median interactions across 28 original posts from the last 30 days against 1,039,718 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.165%, Greg Brockman sits above the 50th percentile of the 39,368 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?
Its engagement rate beats 80% of the tracked X accounts closest to it in follower count (4,067 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 @gdb post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 2.33 posts per day across the measured window.

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