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Stefan Esser engagement report

@i0n1c - 109K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Per follower
0.028%
of 109K followers
Per impression
0.554%
5.4K views on a typical post
Reach
5.02%
of its followers see a post
Typical post
30
interactions (median)
Saved
0.055%
3 bookmarks on a typical post
Posting rate
0.37/day
active 23% of days
Peak time
10:00 UTC
Wednesday

Early reading. We have captured 5 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 30 interactions against 109K followers, an engagement rate of 0.028%. Posts are seen about 5.4K times each, and 0.554% of those impressions turn into an interaction. That is about 4.97% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 20% are part of a thread and 20% link out. The account's strongest tracked post pulled 3.5K interactions, about 118x its own typical post. Only 5 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 5 original posts from a 30-day window, last computed on October 12, 2026.

Where this sits in the catalog

At 0.028%, Stefan Esser sits above the 25th percentile of the 205,991 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,991 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.024%
50th percentile0.143%
75th percentile0.68%
90th percentile2.56%
99th percentile82.4%

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 10:00 UTC, and Wednesday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 link20% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 20% 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 178 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Aug 8, 2026118x their median

    PoC for a critical vulnerability in Apple macOS Screen Sharing (CVE-2026-65400). If Screen Sharing is enabled, any network attacker can exploit the bug to log in as any account, without knowing the password. We reverse engineered Apple’s unusual macOS 26.6.1 patch to understand the root cause and exploitation path. Please upgrade your macOS boxes to 26.6.1. Full technical writeup drops tomorrow.

    3.0K4283047457K viewsView on X
  • Apr 16, 202618x their median

    Wer ohne gültigen Führerschein in öffentlichen Verkehrsmitteln fährt, begeht gesetzlich eine Straftat. Ein Vorstoß, das zu ändern, ist im Bundestag gescheitert. https://t.co/5e547FvnXS

    10820301100214K viewsView on X
  • Apr 28, 20265.5x their median

    While I was sleeping the internet announced that I will be joining @calif_io and that I will talk at @reconmtl about the Secure Kernel and Exclaves https://t.co/sDkYkjnucP

    14017709.3K viewsView on X
  • Jul 30, 20264.2x their median

    I just asked Opus 5 to describe me in 2 sentences for a conference. That triggered the cybersecurity safeguard and the model was downgraded to 4.8

    107910013K viewsView on X
  • Sep 30, 20263.2x their median

    GovTech launches dating pilot to match public officers https://t.co/qbaQwF5nCJ

    631414527K viewsView on X
  • Jun 2, 20263.1x their median

    Looks like @Binary_Gecko has published my blog post about putting a KASAN style MTE tag map into the kernel panic output of macOS. https://t.co/7u0osOQGqo

    76132118K viewsView on X
  • Sep 23, 20261.9x their median

    I see people complaining that they cannot downgrade to iOS 26.6.2 anymore. Please do not forget that even when Apple releases updates for 26.x they do not fix all the vulnerabilities fixed in 27. It is never a good idea to use anything but the latest iOS. (Same for macOS)

    504307.4K viewsView on X
  • Jun 10, 20261.9x their median

    The first week at @calif_io has been fun. I spent most of my days talking to multiple AI agents that are super human most of the time but can be helpless like a toddler other times. Looking forward to be around actual humans next week at @reconmtl

    514205.9K viewsView on X
  • Feb 13, 2026

    There is a party at #GLx and you have been invited. Don’t miss the next session of our new training course giving you a deep dive into #SPTM, #TXM, #SK and #Exclaves https://t.co/wT4HWAOyaE

    3940013K viewsView on X
  • Aug 8, 2026

    So because of this MacOS screen sharing issue please install 26.6.1 as soon as possible and then do the same with 26.6.2

    2553113K 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 30 interactions against 109K followers, an engagement rate of 0.028%. Posts are seen about 5.4K times each, and 0.554% of those impressions turn into an interaction. That is about 4.97% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 20% are part of a thread and 20% link out. The account's strongest tracked post pulled 3.5K interactions, about 118x its own typical post. Only 5 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 Stefan Esser's engagement rate on X?
Stefan Esser (@i0n1c) has an engagement rate of 0.028%, based on the median interactions across 5 original posts from the last 30 days against 108,797 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.028%, Stefan Esser sits above the 25th percentile of the 205,991 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 @i0n1c have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @i0n1c post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 0.37 posts per day across the measured window.

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