Intel engagement report
@intel - 4.5M followers on X
Measured over 30 original posts from a 30-day window, last computed on October 27, 2026.
Engagement
A typical post picks up 138 interactions against 4.5M followers, an engagement rate of 0.003%. Measured over 30 original posts, its engagement rate beats 20% of 20,944 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 17K times each, and 0.795% of those impressions turn into an interaction. That is about 0.388% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 30 posts sampled, 80% carry an image or video, 10% are part of a thread and 60% link out. The account's strongest tracked post pulled 26K interactions, about 190x its own typical post. Recurring topics include #mclarenf1, #ocpsummit26, #unitedstatesgp.
Measured over 30 original posts from a 30-day window, last computed on October 27, 2026. Recurring tags: #mclarenf1, #ocpsummit26, #unitedstatesgp.
Compared with accounts its own size
Intel's engagement rate beats 20% of the tracked X accounts closest to it in follower count (20,944 accounts, accounts of similar size (decile 10 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 41% 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 0.003%, Intel sits below the 10th percentile of the 211,839 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.693% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 14:00 UTC, and Wednesday 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 | 80% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 60% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 80% 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.
- 60% 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 285 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
- Apr 7, 2026190x their median
Intel is proud to join the Terafab project with @SpaceX, @xAI, and @Tesla to help refactor silicon fab technology. Our ability to design, fabricate, and package ultra-high-performance chips at scale will help accelerate Terafab’s aim to produce 1 TW/year of compute to power future advances in AI and robotics. It was fun hosting @elonmusk at Intel this past weekend!
- Aug 25, 202626x their median
Today, Linux celebrates its 35th anniversary and the remarkable journey of one of the most influential technologies in computing history. In 1991, a young Finnish developer named Linus Torvalds purchased his first PC, powered by an Intel 386 processor. After spending time learning x86 assembly language, Linus shared publicly that he was developing a free operating system as a hobby, marking the beginning of Linux. The history of Intel and Linux runs deep, and we've had the privilege of watching it grow from a humble passion project into the world's largest open-source OS. Together with the Linux community, we've helped drive innovation across everything from PCs and data centers to cloud, edge, and AI.
- Jul 4, 202621x their median
NEW: You can now start contributing to your child's future. 🇺🇸 Parents, family, friends, and employers can all help invest in the next generation’s American Dream through Trump Accounts. Visit https://t.co/UO8CXyit1V and download the official Trump Accounts app.
- Sep 21, 20269.2x their median
Meet Googlebook. A new laptop experience from @Google and @Android, engineered for anything. Learn more 👉 https://t.co/fiTmZ9KKhn https://t.co/m09ISQfH9c
- Jun 10, 20266.2x their median
48 years ago this week, Intel introduced a 16-bit microprocessor that would go on to transform personal computing for decades to come. We're proud to wish the 8086 processor the happiest of birthdays and want to thank Intel fans and users for keeping x86 alive all this time. Learn more about Intel 8086 and x86 here: https://t.co/Q4erFOxFlF
- Jun 18, 20265.7x their median
Seok-Hee Lee joins Intel as EVP, @Intel_Foundry, to lead advanced packaging and back-end manufacturing, strengthening our ability to deliver system-level innovation. Naga Chandrasekaran will continue to lead front-end technology development, manufacturing, design enablement, and the end-to-end customer and business-facing functions that support foundry’s growth. Navid Shahriari will retire after 37 years at Intel. His contributions helped advance Intel’s back-end technology leadership. Learn more: https://t.co/VVXwJ6b7kZ
- Oct 24, 20264.7x their median
Good luck tomorrow! Let’s go @mclarenf1! #McLarenF1 https://t.co/KjFpvsOqXu
- Oct 26, 20264.2x their median
Intel announced it has entered into an agreement to acquire @ClassiqTech to advance scalable quantum computing. Combining Intel’s quantum software platform, silicon spin-qubit technology and advanced manufacturing expertise with Classiq’s automated quantum algorithm synthesis platform to help create a full-stack quantum computing platform, while continuing to support a modality-and hardware-agnostic software solution that enables an open and collaborative quantum software ecosystem - https://t.co/0hn4IaHydb
- Jul 16, 20264.0x their median
Today we're expanding our collaboration with @googlecloud, the latest milestone in a long history of co-innovation between our companies. Teams across Intel will use Gemini Enterprise to build AI agents for everyday workflows. And Google Cloud's infrastructure will augment our on-prem compute, so silicon design teams can run bigger simulations, faster. AI helping build the silicon that powers AI. Read more: https://t.co/98VMYMNeFN
- Sep 10, 20263.5x their median
What does it look like to invent the future 10 years ahead of schedule? 🧵👇 Go "Behind This Door" at Intel’s Technology Research facility in Oregon, where our engineers, chemists, and physicists are creatively pushing the boundaries of what’s physically possible. https://t.co/07LtOfYqem
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 138 interactions against 4.5M followers, an engagement rate of 0.003%. Measured over 30 original posts, its engagement rate beats 20% of 20,944 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 17K times each, and 0.795% of those impressions turn into an interaction. That is about 0.388% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 30 posts sampled, 80% carry an image or video, 10% are part of a thread and 60% link out. The account's strongest tracked post pulled 26K interactions, about 190x its own typical post. Recurring topics include #mclarenf1, #ocpsummit26, #unitedstatesgp.
- What is Intel's engagement rate on X?
- Intel (@intel) has an engagement rate of 0.003%, based on the median interactions across 30 original posts from the last 30 days against 4,451,361 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, Intel sits below the 10th percentile of the 211,839 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 @intel have real engagement?
- Its engagement rate beats 20% of the tracked X accounts closest to it in follower count (20,944 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 @intel post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.33 posts per day across the measured window.