Chuck Robbins engagement report
@ChuckRobbins - 4.9M followers on X
Measured over 18 original posts from a 30-day window, last computed on October 24, 2026.
Engagement
A typical post picks up 110 interactions against 4.9M followers, an engagement rate of 0.002%. Measured over 18 original posts, its engagement rate beats 18% of 20,182 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 47K times each, and 0.233% of those impressions turn into an interaction. That is about 0.961% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video and 61% link out. The account's strongest tracked post pulled 16K interactions, about 150x its own typical post. Recurring topics include #gdtbath, #wildlife.
Measured over 18 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #gdtbath, #wildlife.
Compared with accounts its own size
Chuck Robbins's engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,182 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 17% 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 0.002%, Chuck Robbins sits below the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 14:00 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.
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 | 44% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 61% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 44% 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.
- 61% 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 245 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
- Sep 27, 2026150x their median
A classy move from Scottie Scheffler. After a fell yelled in Nico's swing, Scottie conceded a 32-footer to tie the hole. https://t.co/CL6w1fl52s
- Aug 12, 202679x their median
Hard to find the words for this one. Seeing my bust take its place among so many people I grew up admiring is incredibly humbling. It’s a moment I’ll carry with me forever. https://t.co/shAEDp1seD
- Sep 28, 202660x their median
We are excited to announce that World Labs is joining @AMD. The research and technical breakthroughs we have achieved since our founding in 2024 have given us a clear vision for AI’s potential to solve problems in the spatial and physical world. Accelerating the future of spatial and physical intelligence requires scaling our efforts, scaling our reach, and getting closer to the hardware.
- Aug 11, 202638x their median
i shared the message below with the openai team this morning. these decisions are never easy, but the talent and mission orientation of the openai team make me more optimistic than ever. 🤍 ### Team, it is bittersweet to share that I’ll be moving on from OpenAI to start something new. I feel incredibly fortunate to have spent most of the last decade pursuing our mission and building this company. Sitting here today, mission success feels within sight. It has been the honor of my life to help bring us to this point, and to do it alongside all of you. I joined OpenAI in 2018, eight years ago this month, because I wanted to work on something hard. @sama introduced me to @gdb and @ilyasut, who showed me a pitch deck suggesting that because models improve predictably with scale, AGI was not only possible but likely. If you had told me then that we’d be where we are today, I wouldn't have believed you. In the years that followed, I had the privilege of building the first versions of most of our operations and business teams – from Finance to Legal, People, CorpSec, GTM/Gov, Partnerships, and more. Among the most rewarding parts of this journey for me has been watching each of these teams mature under brilliant leaders. I am excited for the next decade in the hands of this incredibly capable team. At the same time, we grew from a small research lab to one of the most consequential companies of our time. I was reminded of that fact constantly – from serving our first user to our billionth, to the growing scale and ambition of our partnerships and the occasional curveball (the Blip, etc.). Through it all, I’m proud of how we’ve maintained our focus on people. It always amazes me how quickly the world has adopted our tools and rallied behind our mission. I hope we will continue to earn their trust. Over the last few months, I’ve been focused on the next horizon and what would stand in the way of mission success. I believe there are a few important new things the world will need to get right as we enter this next period. I’ll have more to share soon, but I believe in OpenAI more than ever and am excited to help you all advance the mission from a different vantage point. I am deeply grateful to have had the opportunity to work with all of you, and to so many of you for the support through the years. The old OpenAI meme that “the real AGI is the friends you made along the way” really rings true for me. I will be around for the next few weeks. I am not going far and hope to continue to support you all however I can. I’ll always be a phone call away if you need me. Brad
- Aug 18, 202612x their median
we temporarily slowed scaling of our frontier training, including our largest planned frontier RL, to strengthen security and monitoring. we believe confidence in safety will increasingly set the pace of AI development:
- Aug 28, 202618x their median
Last day at 1 Market with some of the best people in the business Almost 10 years to the date at CNBC in SF. More on the next chapter coming very soon :) https://t.co/N6KUdwTrxR
- Sep 30, 202610x their median
you can just do things (so I'm told) Thank you @Nasdaq https://t.co/248Qxr7xhx
- Oct 10, 20267.3x their median
UPSET ALERT!!!!!!!!! UNC defeats No. 25 Pitt, giving Bill Belichick his first Top-25 win as head coach of the Tar Heels! #GDTBATH https://t.co/yozD0rMRSb
- Aug 16, 20267.3x their median
Sleepmaxxing https://t.co/6LoQAEuNRZ
- Jul 11, 20263.3x their median
If your goal is to get smarter about AI, follow @jpatel41. Hoping this means he’ll be posting here more often
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 110 interactions against 4.9M followers, an engagement rate of 0.002%. Measured over 18 original posts, its engagement rate beats 18% of 20,182 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 47K times each, and 0.233% of those impressions turn into an interaction. That is about 0.961% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 18 posts sampled, 44% carry an image or video and 61% link out. The account's strongest tracked post pulled 16K interactions, about 150x its own typical post. Recurring topics include #gdtbath, #wildlife.
- What is Chuck Robbins's engagement rate on X?
- Chuck Robbins (@ChuckRobbins) has an engagement rate of 0.002%, based on the median interactions across 18 original posts from the last 30 days against 4,928,334 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Chuck Robbins sits below the 10th percentile of the 204,491 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 @ChuckRobbins have real engagement?
- Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (20,182 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 @ChuckRobbins post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.03 posts per day across the measured window.