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Moxie Marlinspike engagement report

@moxie - 186K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 17, 2026.

Engagement

Per follower
0.117%
of 186K followers
Per impression
1.01%
21K views on a typical post
Reach
11.5%
of its followers see a post
Typical post
218
interactions (median)
Saved
0.328%
70 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
15:00 UTC
Sunday

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 218 interactions against 186K followers, an engagement rate of 0.117%. Posts are seen about 21K times each, and 1.01% of those impressions turn into an interaction. That is about 11.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. The account's strongest tracked post pulled 12K interactions, about 56x 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 17, 2026.

Where this sits in the catalog

At 0.117%, Moxie Marlinspike sits above the 25th percentile of the 156,711 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.127%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.5%
Engagement rate as a share of followers, across the 156,711 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,082 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.5%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 0% 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 5895 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

  • Mar 24, 202556x their median

    There are so many great reasons to be on Signal. Now including the opportunity for the vice president of the United States of America to randomly add you to a group chat for coordination of sensitive military operations. Don’t sleep on this opportunity…

    9.2K2.1K327610537K viewsView on X
  • Jun 4, 202637x their median

    MAFIA EP 001 https://t.co/FDijsKFdJN

    6.6K3694715713.4M viewsView on X
  • Aug 27, 202413x their median

    This could get crazy if true. Telegram messages are not encrypted. France is trying to arrest the CEO of a Russian team that has plaintext access to every message the French president has ever sent or received.. “Macron has been a Telegram user since…” https://t.co/CrqH5NsQvl

    2.3K43631611.1M viewsView on X
  • Mar 27, 202612x their median

    I didn’t go to college, but I did once unexpectedly end up at Princeton University’s “reunions weekend.” The way they do it, every 5th year class has their reunion on campus at the same time. So every year, on one weekend, the Princeton campus will be filled with people celebrating their 5th, 10th, 15th, and so on class reunions— all the way up until there’s nobody alive anymore. The beginning of reunions weekend kicks off with a parade! It is a parade of the Princeton graduates: featuring themselves, in honor of themselves, for… themselves. It works like this: all the graduates pack the sidewalks of the parade route, but ordered by graduation year. The recent graduates are standing at the end of the route, and the oldest graduates are at the beginning. Then, the parade begins. The oldest living graduate steps off the sidewalk and leads the parade. When everyone older than you has gone by, you step into the street and become the parade. Until you become part of the parade, you’re cheering the parade. You cheer and witness everyone before you, and then you are cheered and witnessed by everyone after you. It is a bizarre ritual. To see it, though, is like seeing the entire fossil record of Princeton graduates. The person leading the parade — the oldest living graduate in that cohort — is a white guy. And then, for a reallllly lonnnnnng time, it’s just white guys! After 30 minutes… a woman! A white woman. With people in the parade maybe holding signs like “first coed graduating class!” And then another 30 minutes of slowly, incrementally, more white women in the parade. And then… the first black man! Another 30 minutes of slowly, incrementally, more black men. And so on. By the end — the most recent class — is the exact opposite of the beginning. A mix of everyone you can think of. For some reason that parade really stuck with me. It’s simultaneously a representation of how much the world has changed, but also a representation of how many “minutes of parade” are still walking around having lived and ended up where they are under very different circumstances.

    2.5K1382912224K viewsView on X
  • May 27, 202511x their median

    It has been interesting to watch the drivers of Los Angeles slowly discover that Waymo will always yield

    2.3K344023174K viewsView on X
  • Dec 24, 20259.5x their median

    I've actually been enjoying the last days of software development. There's a touch of sadness, but there's also something about knowing we're near the end that makes it novel and sweet again.

    1.9K1137926182K viewsView on X
  • Apr 26, 20245.5x their median

    I made this last weekend to experiment w/ building an app end to end on LLMs: https://t.co/eOHZunKTyf It's like Wirecutter, but uses an LLM to recommend product choices based on reddit conversations and reviews, so you don't have to spend 20-30min reading reddit My experience: I'm late to the game, but this is the first time I've tried building an app end to end around an LLM. 1. It's very fast to build something that's 90% of a solution. The problem is that the last 10% of building something is usually the hard part which really matters, and with a black box at the center of the product, it feels much more difficult to me to nail that remaining 10%. With vibecheck, most of the time the results to my queries are great; some percentage of the time they aren't. Closing that gap with gen AI feels much more fickle to me than a normal engineering problem. It could be that I'm unfamiliar with it, but I also wonder if some classes of generative AI based products are just doomed to mediocrity as a result. 2. On the other hand, I think the discomfort I feel with having an unpredictable black box at the center of a product which can fail in very creative ways some percentage of the time might actually be a competitive advantage for startups. I think Wirecutter, especially branded as NY Times, would have a lot harder time tolerating that unpredictability and unreliability than an app like this (or an actual startup) which can set that product expectation with users to begin with. It might be that the current problems with generative AI are actually the things that create an innovator's dilemma and give startups an advantage to slip under the incumbents. It seems like the ideal spot right now would an app where 90% "done" is a mostly great experience, but the failings are still somehow not stomach-able by incumbents. 3. I do not understand how the economics of LLMs pencil out. When I look at the per concurrent user costs associated with inference, they seem orders of magnitude higher than per concurrent user costs of previous internet technologies. It seems to me that if previous apps like webmail, messengers, etc had costs as high, they would not have been viable products. This is something I want to learn more about.

    9441108850276K viewsView on X
  • Feb 11, 20264.5x their median

    If you're feeling lonely on X, just post about how Telegram isn't an encrypted messenger. It'll reliably fill your mentions with 40 accounts named 'Priv8User420', all sharing made-up cryptography facts and Telegram memes. It's the closest thing X has to a support group.

    83975421854K viewsView on X
  • Dec 26, 20254.4x their median

    Whenever I start making something, I always feel uncertain-- right up until the moment that I encounter real difficulty. It's only once I discover that there is something difficult involved that I start to feel comfortable. Before that moment, it's hard to know that the thing I'm making is worth making. After all, why doesn't it already exist? If anyone can do it, shouldn't someone else have done it already? Is this just a bad idea that has already quietly failed many times before? But when I encounter something really difficult, that's when I know why it doesn't already exist, and overcoming that difficulty with my obsessiveness and anything else I can bring to bear becomes exciting. It feels like an opportunity; a reason that something is worth doing. When I say that I consider these to be "the last days of software development," it's because -- for a lot of my life -- knowing how computers work has been significant and valuable, because for most of my life, it has been possible to sit down at a computer, start making something, and encounter that difficulty everywhere. I don't think eliminating software development as it has been is a negative development in the slightest. I think making software easy/free to build will have all kinds of positive effects for all of us. And sure, maybe there will continue to be humans in the loop etc etc.. but I do think that this is the end of something that I invested a lot of time thinking about, in large part so I could sit down at a computer and start typing into an editor with some trepidation, until the moment that I encounter something which makes me stop and think "oh." And then smile.

    838862912120K viewsView on X
  • Jun 6, 20244.3x their median

    Easy to overlook: most people's first encounter with despotic systems is not usually with the KGB or Gestapo knocking at their door. Instead, it's usually with clean streets and improved material conditions. I don't think the way we talk about this stuff serves us well:

    7601152635146K 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 218 interactions against 186K followers, an engagement rate of 0.117%. Posts are seen about 21K times each, and 1.01% of those impressions turn into an interaction. That is about 11.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. The account's strongest tracked post pulled 12K interactions, about 56x 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 Moxie Marlinspike's engagement rate on X?
Moxie Marlinspike (@moxie) has an engagement rate of 0.117%, based on the median interactions across 2 original posts from the last 30 days against 186,219 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.117%, Moxie Marlinspike sits above the 25th percentile of the 156,711 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 @moxie have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @moxie post?
Most posts go out around 15:00 UTC, and Sunday is its busiest day, at roughly 0.07 posts per day across the measured window.

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