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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

Per follower
0.058%
of 341K followers
Per impression
0.849%
23K views on a typical post
Reach
6.79%
of its followers see a post
Typical post
196
interactions (median)
Saved
0.702%
162 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
02:00 UTC
Tuesday

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%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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.

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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% 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

    5.4K2185731546K viewsView on X
  • 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

    1.3K2482753322K viewsView on X
  • 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

    1.0K230312283K viewsView on X
  • 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

    7466318656K viewsView on X
  • 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

    4408916639K viewsView on X
  • Feb 12, 20262.4x their median

    Whether you like Pep and City or not, he sure has cojones. https://t.co/0fOHdaAn2c

    3896011641K viewsView on X
  • 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

    3004421143K viewsView on X
  • 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

    300489430K viewsView on X
  • 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

    302438427K viewsView on X
  • 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

    2763818642K 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.

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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.

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