Werner Vogels engagement report
@Werner - 341K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 3, 2026.
Engagement
Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 196 interactions against 341K followers, an engagement rate of 0.058%. Posts are seen about 23K times each, and 0.849% of those impressions turn into an interaction. That is about 6.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 5.7K interactions, about 29x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 2 original posts from a 30-day window, last computed on September 3, 2026.
Where this sits in the catalog
At 0.058%, Werner Vogels sits above the 25th percentile of the 66,128 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.9% |
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 02:00 UTC, and Tuesday 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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.
- 100% 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 230 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
- Jan 6, 202629x their median
On 1 Dec 2020, AWS S3 announced that all writes to S3 are now strongly consistent (not eventually consistent, like before) *at no price change or latency changes* to any customers. Pulling this off was probably one of the biggest invisible engineering achievements of the decade
- Apr 7, 20268.1x their median
For two decades, S3 has been an object store, but today it's something broader. S3 Files lets you mount any bucket as a filesystem—no copies, no sync scripts, no choosing between file and object. @andywarfield tells the full story, including the "filerectories" that almost made the cut. https://t.co/zrkLOZS5Qe
- Aug 21, 20256.8x their median
One of the most influential programming textbooks was first published as a paperback 40 years ago today: MIT's "Structure and Interpretation of Computer Programs." Read it for free here: https://t.co/jDbhEbEitW https://t.co/Xq48AZHghw
- Mar 19, 20264.3x their median
At AWS we're big Rust users. Lambda, DSQL, S3, EC2, Bedrock, and many more run Rust code. Dial9 is a new tool, built at AWS, for diving deep into the performance of tokio-based applications. Good work, Russel! https://t.co/4bvbXZ57gc
- Dec 5, 20252.8x their median
Thank you to all the builders who joined us at re:Invent. We created The Kernel—a newspaper by builders, for builders. I hope it sparks new ideas as you head into the new year. Now go build! https://t.co/LKAtAZOOEZ
- Feb 12, 20262.4x their median
Whether you like Pep and City or not, he sure has cojones. https://t.co/0fOHdaAn2c
- Jul 2, 20261.9x their median
I am not a big fan of doing this client-side, for a whole slew of reasons, but this is impressive engineering by the @Zalando team. I like the "lessons learned" they conclude with. https://t.co/5kZkLsT2ro
- Apr 22, 20261.8x their median
The best teams solve problems nobody notices. Ravi Nagayach, Prashant Singh, Kshitij Gupta, and the Lambda networking team have been doing exactly that for about a decade. Read their story here: https://t.co/TTPUuxxpAV https://t.co/ZdPLbAjdGg
- Aug 6, 20261.8x their median
Zak van der Merwe has spent 14 years building control planes at AWS. His blog is a candid look at what happens when your bookkeeping layer has to keep up with the scale of the cloud, and why some of the most interesting problems in distributed systems often hide in the most "boring" parts. https://t.co/VIs0r6BDed
- Jun 11, 20261.7x their median
Our goals here are ambitious! Our hope is to make formal methods as pervasively useful of a tool for building software as sophisticated type systems are for us today. https://t.co/pazSGvASoQ
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.
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Reading these numbers
A typical post picks up 196 interactions against 341K followers, an engagement rate of 0.058%. Posts are seen about 23K times each, and 0.849% of those impressions turn into an interaction. That is about 6.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% link out. The account's strongest tracked post pulled 5.7K interactions, about 29x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Werner Vogels's engagement rate on X?
- Werner Vogels (@Werner) has an engagement rate of 0.058%, based on the median interactions across 2 original posts from the last 30 days against 341,364 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.058%, Werner Vogels sits above the 25th percentile of the 66,128 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 @Werner have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @Werner post?
- Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 0.1 posts per day across the measured window.