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Alex Stamos engagement report

@alexstamos - 92K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Per follower
0.037%
of 92K followers
Per impression
0.662%
5.1K views on a typical post
Reach
5.63%
of its followers see a post
Typical post
34
interactions (median)
Saved
0.049%
2 bookmarks on a typical post
Posting rate
0.5/day
active 30% of days
Peak time
03:00 UTC
Sunday

Early reading. We have captured 6 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 34 interactions against 92K followers, an engagement rate of 0.037%. Posts are seen about 5.1K times each, and 0.662% of those impressions turn into an interaction. That is about 5.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video, 17% are part of a thread and 33% link out. The account's strongest tracked post pulled 9.0K interactions, about 263x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on September 22, 2026. Recurring tag: #cfb2026.

Where this sits in the catalog

At 0.037%, Alex Stamos sits above the 25th percentile of the 213,004 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 03:00 UTC, and Sunday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video67% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 67% 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.
  • 33% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 225 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

  • Aug 2, 2026263x their median

    when you say "life is a stochastic path integral" instead of "shit happens" https://t.co/fICV67e9Ge

    8.3K42613546299K viewsView on X
  • Jul 21, 2026130x their median

    We must NOT let our companies use these Chinese models to save a few bucks. OpenAI and Anthropic are correct. This is vital national security. Please read Bing West's just released Cat 5. I respect the Chinese people greatly but these companies are run by the PLA for heaven's sakes.

    1.7K1371.9K6771.6M viewsView on X
  • Jul 16, 202649x their median

    What's the 1 single thing you hate THE MOST about Christopher Nolan's Odyssey?

    62528877128959K viewsView on X
  • Jul 9, 202628x their median

    would love a new desktop agent super app - lets me switch harnesses and models and multiplex across them - makes it easy to move memory and context - can orchestrate between models ( use Fable as a planner but a lower cost model for daily driver ) - can retroactively look at usage and optimize for cost / better results

    7312616923144K viewsView on X
  • Aug 30, 202620x their median

    For anyone who avoided reading that Dwarkesh piece, too bad because I need you to at least experience this pain with me. https://t.co/Xxx18fCn8J

    5724162668K viewsView on X
  • Jul 17, 20266.8x their median

    Ignore the rambling, self-serving speech. The documents are interesting. For cyber people, this one caught my eye, a listing of the databases the PRC has collected on US citizens, reinforcing the PRC "big data" fusion approach (OMB, Anthem, Saabre, etc). Lots redacted. Why? https://t.co/f9riiBJGXw

    1724811118K viewsView on X
  • Jul 29, 20265.2x their median

    I love how SFO having a runway under a construction is a surprise to @united Airlines EVERY SINGLE DAY. "Bob, did you hear that the runway is still under construction!" "What? It was under construction yesterday! Crazy, I guess we'll have to delay all our flights today. What do you think, Sally, should we adjust our schedule going forward so we don't lie to thousands of passengers?" "Wait, what were we talking about?" "I don't know, I forgot. You catch the game last night?" Maybe they should write "SFO has a runway closed" on their arms like Memento.

    16159120K viewsView on X
  • Aug 5, 20263.5x their median

    This summer has been pivotal for cybersecurity and AI, but we are stuck on talking points from April. Here is an attempt to move past the Fable debacle and find a way to compete with China, protect individuals and companies, and allow for innovation. https://t.co/l4IpS8FEa2

    92164621K viewsView on X
  • Aug 7, 20263.1x their median

    I would love to see a tiger team drawn from OpenAI, Anthropic, Google (who apparently knows how to jail models) AISI, and independent experts take a look at all these escapes and quickly publish industry guidelines on isolation/airgaps/data diodes. https://t.co/z9nTn3tnab

    8019518.0K viewsView on X
  • Aug 18, 20263.0x their median

    Hey, @TsentaAi, are you bouncing your spammy AI job applications off of residential proxies? Do these people (and ISPs) know you are ruining their IP reputation and making it impossible for the people actually in that home to find a job? Does @ycombinator know about this? https://t.co/HuDHaonLoD

    9065011K 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

#cfb2026

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 92K followers, an engagement rate of 0.037%. Posts are seen about 5.1K times each, and 0.662% of those impressions turn into an interaction. That is about 5.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video, 17% are part of a thread and 33% link out. The account's strongest tracked post pulled 9.0K interactions, about 263x its own typical post. Only 6 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 Alex Stamos's engagement rate on X?
Alex Stamos (@alexstamos) has an engagement rate of 0.037%, based on the median interactions across 6 original posts from the last 30 days against 92,159 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.037%, Alex Stamos sits above the 25th percentile of the 213,004 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 @alexstamos have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @alexstamos post?
Most posts go out around 03:00 UTC, and Sunday is its busiest day, at roughly 0.5 posts per day across the measured window.

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