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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.127% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 98% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 98% 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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
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.