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OpenAI Newsroom engagement report

@OpenAINewsroom - 188K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.574%
of 188K followers
Per impression
1.86%
58K views on a typical post
Reach
30.9%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.167%
97 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
17:00 UTC
Thursday

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 1.1K interactions against 188K followers, an engagement rate of 0.574%. Posts are seen about 58K times each, and 1.86% of those impressions turn into an interaction. That is about 30.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 100% link out. The account's strongest tracked post pulled 15K interactions, about 14x 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 25, 2026.

Where this sits in the catalog

At 0.574%, OpenAI Newsroom sits above the 50th percentile of the 204,798 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 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 111%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%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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video50% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 50% 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.
  • 100% 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 343 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

  • Jun 8, 202614x their median

    We recently submitted a confidential S-1. We expect it to leak so we’re just announcing it. We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company. But it’s a complicated set of tradeoffs and this gives us the option to go public sooner if that ends up being best. This announcement is being made pursuant to Rule 135 under the Securities Act of 1933, as amended, and does not constitute an offer to sell or the solicitation of an offer to buy any securities. Any offers, solicitations of offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act.

    13K9025565483.4M viewsView on X
  • Apr 27, 2026

    We can't wait to make our case in court where both the truth and the law are on our side. This lawsuit has always been a baseless and jealous bid to derail a competitor. We'll also finally have the chance to question Mr. Musk under oath before a jury of Californians about this attempt to undermine our work to ensure that artificial general intelligence benefits all of humanity.

    5.3K4071.8K3092.5M viewsView on X
  • Apr 30, 20266.1x their median

    It's never been easier to do everyday work with Codex. Choose your role, connect the apps you use every day, and try suggested prompts. Codex helps with everything from research and planning to docs, slides, spreadsheets, and more. https://t.co/zDtYnMSqvn

    5.7K4263312041.5M viewsView on X
  • Apr 26, 20264.5x their median

    Our Principles: Democratization, Empowerment, Universal Prosperity, Resilience, and Adaptability https://t.co/g58WGndARw

    3.7K286689189864K viewsView on X
  • Jun 11, 20264.2x their median

    We’ve reached an agreement to acquire @ona_hq. Its secure cloud execution technology will help Codex take on longer-running work, even when laptops are closed, and help more organizations deploy agents securely in production. After closing, Ona will join OpenAI’s Codex team. https://t.co/RXoL4LSDcf

    3.9K260171156998K viewsView on X
  • Jul 24, 20263.4x their median

    After Kiley was diagnosed with glioblastoma, an aggressive form of brain cancer, doctors told her she might have only months to live. At 18, she wrote a will, chose a casket, and began living scan to scan. But, over the next five years, she kept on living, defying expectations. Her scans stayed stable. Why? How? After a recent MRI, her husband @ColeLemasters used ChatGPT to help make sense of the dense language in her radiology report. That conversation led him back to Kiley’s original biopsy records, where ChatGPT helped surface a crucial detail: an IDH1 mutation. In partnership with her neuro-oncologist, he then confirmed what that meant. Under updated medical standards, Kiley’s tumor was not glioblastoma, but an IDH-mutant astrocytoma: still serious, but with a very different prognosis. Instead of bracing for the worst, Kiley and her doctors began focusing her treatment plan on long-term care. Now, after years of uncertainty, she and Cole are planning for a future.

    3.2K26312384396K viewsView on X
  • Apr 23, 2026

    Auto-review is a new mode that lets Codex work longer with fewer approvals and safer execution. It helps Codex keep moving through tests, builds, and more, including during long tasks and automations, while a separate agent checks higher-risk steps in context before they run. https://t.co/TCcNC5yB0H

    3.2K20110465439K viewsView on X
  • Apr 22, 20262.8x their median

    GPT-Image-2 is insanely good at making brand kits. You can give it a URL or a logo + color guide, and it will pull together everything for you. I think it’s fun to ask for some swag, too 😉 https://t.co/dXrLZuLRpx

    2.7K15611348707K viewsView on X
  • Jun 1, 20262.6x their median

    We’re breaking ground on Stargate Michigan—a 1GW data center utilizing closed-loop cooling that uses water at the rate of a typical office building, creates thousands of union jobs, and brings over $40m in free Codex credits for all college, community college, and trade school students statewide. https://t.co/3a3w9vL91T

    2.5K1589752279K viewsView on X
  • Jun 2, 20262.0x their median

    Codex now has more than 5M weekly active users. But the bigger story is what people are using it for: not just writing code, but getting more work done across research, analysis, content, and operations. Our new report on how Codex is becoming a productivity tool for knowledge work: https://t.co/XZMPR9cEge

    1.9K12910661257K 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 1.1K interactions against 188K followers, an engagement rate of 0.574%. Posts are seen about 58K times each, and 1.86% of those impressions turn into an interaction. That is about 30.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 100% link out. The account's strongest tracked post pulled 15K interactions, about 14x 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 OpenAI Newsroom's engagement rate on X?
OpenAI Newsroom (@OpenAINewsroom) has an engagement rate of 0.574%, based on the median interactions across 2 original posts from the last 30 days against 187,685 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.574%, OpenAI Newsroom sits above the 50th percentile of the 204,798 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 @OpenAINewsroom have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @OpenAINewsroom post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 0.07 posts per day across the measured window.

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