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Red Hat engagement report

@RedHat - 303K followers on X

Measured over 63 original posts from a 30-day window, last computed on September 18, 2026.

Engagement

Bottom quarter for its size
Per follower
0.007%
of 303K followers
Per impression
0.484%
4.5K views on a typical post
Reach
1.50%
of its followers see a post
Typical post
22
interactions (median)
Saved
0.044%
2 bookmarks on a typical post
Posting rate
2.4/day
active 87% of days
Peak time
16:00 UTC
Thursday

A typical post picks up 22 interactions against 303K followers, an engagement rate of 0.007%. Measured over 63 original posts, its engagement rate beats 21% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.5K times each, and 0.484% of those impressions turn into an interaction. That is about 1.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 63 posts sampled, 98% carry an image or video and 98% link out. The account's strongest tracked post pulled 88 interactions, about 4.0x its own typical post. Recurring topics include #vmwareexplore, #ai, #compilerpodcast.

Measured over 63 original posts from a 30-day window, last computed on September 18, 2026. Recurring tags: #vmwareexplore, #ai, #compilerpodcast.

Compared with accounts its own size

Red Hat's engagement rate beats 21% 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 28% 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 0.007%, Red Hat sits above the 10th percentile of the 156,396 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,396 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,062 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 percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video98% of posts+111%+108% to +115%34K
Outbound link98% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 98% 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.
  • 98% 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 270 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 5, 20264.0x their median

    We built Red Hat @OpenShift to work the same way for every team, in every environment. Turns out that matters. Read the full @Gartner_inc® report to see why Red Hat was recognized as a Leader in Cloud-Native Application Platforms for the third consecutive year: https://t.co/HGtnJbkRTJ

    4635439.7K viewsView on X
  • Sep 9, 20262.8x their median

    We’re excited to be a sponsor of the @OpenClaw Foundation! Autonomous AI agents can transform IT, but production requires runtime security and hybrid cloud flexibility. Learn more about how we're helping advance open source agentic AI in production: https://t.co/oVf5YALdI9 https://t.co/Z9lnXAVYzX

    4810306.0K viewsView on X
  • Aug 17, 20262.8x their median

    Stop wasting GPU capacity. Red Hat #OpenShift AI helps platform teams optimize #AI performance and cut costs: ⚡ Maximize throughput per GPU node ⚙️ Streamline dynamic serving & quantization 🔒 Balance latency with compute costs Read the guide: https://t.co/CCyUz9FQE6 https://t.co/JhFKwoWIJ6

    508306.4K viewsView on X
  • Aug 22, 20262.4x their median

    Turn hardware acceleration into a robust enterprise AI engine with @RedHat_AI on @nvidia DGX platforms. This setup optimizes compute usage across the DGX SuperPOD architecture, simplifying distributed training, fine-tuning, and large-scale model serving. Read the blog full post: https://t.co/cfIRmOkysc

    446207.4K viewsView on X
  • Sep 16, 20262.3x their median

    You shouldn’t have to choose between legacy stability and long-term agility. With Red Hat @OpenShift Virtualization, you unlock both. And it turns out that matters. Learn why @Gartner_inc® named Red Hat a Leader in the 2026 Magic Quadrant™ for Server Virtualization Platforms: https://t.co/KDeDrJTO5k

    408214.9K viewsView on X
  • Sep 4, 20262.2x their median

    Stop paying full GPU costs for repeated #LLM queries. Integrating Redis semantic caching with Red Hat #OpenShift #AI intercepts redundant prompt requests to slash token usage, lower response latency, and cut AI infrastructure spending. Read the full guide: https://t.co/tDVpYke6wz

    444106.1K viewsView on X
  • Aug 24, 20262.1x their median

    The new automation orchestrator add-on for Red Hat @Ansible Automation Platform introduces multimode automation, letting you combine logic nodes, Event-Driven Ansible sources, and AI agent recommendations. Automate on your terms: https://t.co/eb4meajmBk https://t.co/zhI2vO74ga

    385406.2K viewsView on X
  • Aug 13, 20262.1x their median

    Explore Red Hat product trials to assess performance and gain the hands-on experience you need for your next project: https://t.co/L4O0eUMrOr https://t.co/VhcpLdTJbt

    406107.1K viewsView on X
  • Aug 31, 20262.0x their median

    .@NASAJPL migrates to Red Hat @OpenShift Virtualization to automate VM management and scale mission operations across the hybrid cloud. One platform for every workload. 🚀 https://t.co/45k1skHiwj #VMwareExplore https://t.co/YluKM2Ut2k

    384216.2K viewsView on X
  • Aug 23, 20262.0x their median

    The report is in: Red Hat has been named a Leader in the @Gartner_inc® Magic Quadrant™ for Cloud-Native Application Platforms for the 3rd consecutive year. Check it out: https://t.co/m9sdg0mGRJ https://t.co/hOUj6lPUXl

    358206.7K 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.

Recurring topics

#vmwareexplore#ai#compilerpodcast#hybridcloud#rhsummit

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 22 interactions against 303K followers, an engagement rate of 0.007%. Measured over 63 original posts, its engagement rate beats 21% of 15,519 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.5K times each, and 0.484% of those impressions turn into an interaction. That is about 1.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 63 posts sampled, 98% carry an image or video and 98% link out. The account's strongest tracked post pulled 88 interactions, about 4.0x its own typical post. Recurring topics include #vmwareexplore, #ai, #compilerpodcast.

What is Red Hat's engagement rate on X?
Red Hat (@RedHat) has an engagement rate of 0.007%, based on the median interactions across 63 original posts from the last 30 days against 303,463 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Red Hat sits above the 10th percentile of the 156,396 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 @RedHat have real engagement?
Its engagement rate beats 21% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the bottom 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 @RedHat post?
Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 2.4 posts per day across the measured window.

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