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Intel Business engagement report

@IntelBusiness - 169K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Middle of its size range
Per follower
0.02%
of 169K followers
Per impression
1.96%
1.8K views on a typical post
Reach
1.04%
of its followers see a post
Typical post
34
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.77/day
active 43% of days
Peak time
19:00 UTC
Monday

A typical post picks up 34 interactions against 169K followers, an engagement rate of 0.02%. Measured over 18 original posts, its engagement rate beats 32% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 1.8K times each, and 1.96% of those impressions turn into an interaction. That is about 1.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 18 posts sampled, 94% carry an image or video and 72% link out. The account's strongest tracked post pulled 325 interactions, about 9.6x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 21, 2026. Recurring tag: #ocpsummit26.

Compared with accounts its own size

Intel Business's engagement rate beats 32% of the tracked X accounts closest to it in follower count (21,185 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 62% 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 0.02%, Intel Business sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 19:00 UTC, and Monday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video94% of posts+111%+108% to +115%34K
Outbound link72% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 94% 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.
  • 72% 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 287 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 12, 20269.6x their median

    Scaling AI isn’t about building a faster system; it’s about improving the economics of AI at scale. Intel Xeon provides the open foundation to maximize your rack-scale performance. See how we’re driving real-world efficiency at #OCPSummit26. https://t.co/5TqAla28gO https://t.co/TfjJbymR5o

    269431129.3K viewsView on X
  • Sep 16, 20263.6x their median

    Agentic AI is on the rise, and Intel is here to meet the moment. Catch CEO @LipBuTan1 in a special fireside chat from #AIInfraSummit 2026, where we explore how industries can effectively scale from development to deployment. Watch on demand at https://t.co/UQxZd7I2Vw https://t.co/iT4sDGUbsF

    93194510K viewsView on X
  • Oct 14, 20262.9x their median

    This week at #OCPSummit26, Nicolas Dubé laid out Intel's stack for distributed AI inference: ​ • Intel Xeon 6+ racks scaling past 46,000 cores ​ • Built with partners on OCP Open Rack v3 ​ • Intel Xeon for orchestration, Intel GPU D-series for high-capacity inference https://t.co/RbGgQSbx9l

    8013334.3K viewsView on X
  • Aug 24, 20262.6x their median

    Agentic AI depends on both the models and the infrastructure that powers them. Excited to hear leaders across the industry unpack the future of agentic AI at @HotChipsOrg 2026. @Intel will showcase how Diamond Rapids, Crescent Island and Wildcat Lake provide the foundational infrastructure to scale AI workloads from the rack to the edge. More at https://t.co/bn2be6gM63

    7493414K viewsView on X
  • Sep 8, 20262.5x their median

    As agentic AI converts one ask into thousands of agents working together to create an answer, scaling these tools relies on effective and efficient solutions. At AI Infra Summit 2026, we’re showcasing how—robot to rack—Intel technology lays the foundation for agentic opportunities. Learn more: https://t.co/cD0lnjhcFE

    7010333.2K viewsView on X
  • Oct 13, 20262.1x their median

    Your servers should focus on workloads, not network overhead. Intel Ethernet E835 Controllers and Network Adapters help organizations get more from their infrastructure with up to 200GbE connectivity, greater deployment flexibility with Ethernet Port Configuration Tool, and industry-leading power efficiency. See how at #OCPSummit26. https://t.co/7qKzLPYMf3

    6012002.1K viewsView on X
  • Oct 8, 20261.9x their median

    How do you ensure your AI agents stay responsive at scale? It starts with efficient sandbox provisioning. Intel Xeon processors are designed to handle high-concurrency workloads, keeping latency low so your agentic AI systems can perform. Learn more at https://t.co/6csqiZbfCF https://t.co/0S3HMVRnNU

    4541334.1K viewsView on X
  • Sep 28, 20261.9x their median

    Record-breaking speed! 🥇 Intel, @Jabil, and @AMD just set a new bar for @STACresearch-N1, hitting the lowest-ever 100GbE latency at 1.5 million 66-byte messages per second on the Intel Xeon Gold 6558Q processor. Join the celebration: https://t.co/C3rKULNR1m https://t.co/dj9ViizI00

    4911323.1K viewsView on X
  • Sep 17, 20261.9x their median

    When it comes to agentic AI, tokens per second is the wrong KPI. At #AIInfraSummit 2026, we’re showcasing how agents per rack, tail latency, and cost per completed task better suit the density of agentic workloads. Make agentic AI deployments easier. Try the Intel Agentic AI Toolkit for yourself at https://t.co/KC84IRLaTT

    5012302.4K viewsView on X
  • Jul 30, 20261.6x their median

    Power at the edge? Look no further than @Supermicro edge systems powered by Intel Core Ultra Series 3 processors. From robotics and quality inspection to healthcare imaging and retail, the Supermicro + Intel partnership is tuned to not only boost AI performance at the edge but help you deploy and scale as well. Watch the webinar: https://t.co/W0m9ec49Z3

    457113.2K 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

#ocpsummit26

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 34 interactions against 169K followers, an engagement rate of 0.02%. Measured over 18 original posts, its engagement rate beats 32% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 1.8K times each, and 1.96% of those impressions turn into an interaction. That is about 1.04% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 18 posts sampled, 94% carry an image or video and 72% link out. The account's strongest tracked post pulled 325 interactions, about 9.6x its own typical post.

What is Intel Business's engagement rate on X?
Intel Business (@IntelBusiness) has an engagement rate of 0.02%, based on the median interactions across 18 original posts from the last 30 days against 169,150 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.02%, Intel Business sits above the 10th percentile of the 212,567 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 @IntelBusiness have real engagement?
Its engagement rate beats 32% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the middle of its size range 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 @IntelBusiness post?
Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 0.77 posts per day across the measured window.

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