Back to @e_kaspersky's profile

Eugene Kaspersky engagement report

@e_kaspersky - 178K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 17, 2026.

Engagement

Per follower
0.025%
of 178K followers
Per impression
1.22%
3.7K views on a typical post
Reach
2.07%
of its followers see a post
Typical post
45
interactions (median)
Saved
0.217%
8 bookmarks on a typical post
Posting rate
0.13/day
active 13% of days
Peak time
11:00 UTC
Wednesday

Early reading. We have captured 3 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 45 interactions against 178K followers, an engagement rate of 0.025%. Posts are seen about 3.7K times each, and 1.22% of those impressions turn into an interaction. That is about 2.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 105 interactions, about 2.3x its own typical post. Recurring topics include #icloud, #macos, #macsync. Only 3 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 3 original posts from a 30-day window, last computed on October 17, 2026. Recurring tags: #icloud, #macos, #macsync.

Where this sits in the catalog

At 0.025%, Eugene Kaspersky sits above the 25th percentile of the 202,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.674%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,913 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 percentile0.142%
75th percentile0.674%
90th percentile2.54%
99th percentile82.5%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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 311 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

  • Aug 4, 20262.3x their median

    Threat actors are increasingly exploiting legitimate cloud services like Cloudflare Workers, Vercel, Netlify, GitHub Pages, and IPFS to evade detection and streamline the deployment of the scam infrastructure. We analyze the mechanics of a real-life adversary-in-the-middle (AitM) attack in a cloud and share detailed statistics on the platforms and domains phishers abuse most frequently 👉 https://t.co/50VSnAwNoF

    7824216.5K viewsView on X
  • Jul 28, 20262.2x their median

    Here’s some research into new malware used by the Mirage Kitten APT, which is targeting the aerospace, aviation, defense, and telecommunications sectors across the Middle East and Africa. The toolset includes a new Windows backdoor and two custom WebSocket-based tunnelers. Details: https://t.co/9yayYBBcrW

    7823008.1K viewsView on X
  • Aug 14, 20261.9x their median

    HoneyMyte (a.k.a. Mustang Panda) upgrades CoolClient: the backdoor gets a kernel-level Windows rootkit 👉 https://t.co/wnirXVoPlW https://t.co/vjIJ9JO6B2

    6818106.3K viewsView on X
  • Sep 2, 20261.6x their median

    The Mirage Kitten APT’s toolkit is evolving: we’re exploring its two previously undocumented cross-platform RATs – NodeRabbit and PollCat – that are targeting aviation and FinTech sectors across the Middle East and Africa. Spear-phishing (fake recruiters and trojanized coding challenges) is the key attack vector. These RATs mark the group's first documented use of Node.js/JavaScript malware. Full analysis: https://t.co/nnvf1gxYeT

    5118205.4K viewsView on X
  • Jul 22, 20261.6x their median

    HelloNet: a new APT campaign abusing the ViPNet update system to deploy malicious modules. The toolset includes a DLL sideloader, a hidden proxy, and a Rust-based backdoor – active since May 2026. Details: https://t.co/JX56RIOmC6 https://t.co/9affRU7CRC

    5019108.2K viewsView on X
  • Jul 21, 20261.5x their median

    A new module in the sophisticated cyberespionage framework, Project CAV3RN, is hiding C2 commands inside Outlook calendar events scheduled for 2050 via Microsoft Graph. Details: https://t.co/znAyClSpbE https://t.co/myyIXuhIve

    5810106.2K viewsView on X
  • Aug 31, 2026

    A while ago we were tasked to analyze a file with an initial classification as adware. A deeper research turned up suspicious network activity - the sample did far more than serve ads. In fact, its advertising functionality doesn’t even work; instead, it triggers an infection chain that delivers the ValleyRAT backdoor. More details 👉 https://t.co/O9gjknTxdP

    3619005.5K viewsView on X
  • Jul 23, 2026

    GoSerpent: a Go-based RAT targeting government and diplomatic entities in Southeast Asia since 2021 is now deploying coordinated tools for silent file collection, credential dumping, and staged exfiltration. Details: https://t.co/Xi7hD8fMkU https://t.co/0djfZodQlP

    4011106.2K viewsView on X
  • Aug 21, 2026

    An in-depth research of the malware spread through the built-in updaters of Android-based automotive head unit firmware. This is the first documented case of malware found on a car head unit with an infection chain specific to that type of device. 👉 https://t.co/G0xYchaFTF https://t.co/WLP4NASxHo

    3119103.5K viewsView on X
  • Sep 23, 2026

    Hiding your Wi-Fi network name might seem like a smart security move, but in practice it does more harm than good. Let’s take a look at how it works, what side effects it can have, and how to properly secure your home Wi-Fi 👉 https://t.co/gB6FaccpRd https://t.co/xe3FmNU6PK

    3313404.9K 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

#icloud#macos#macsync

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 45 interactions against 178K followers, an engagement rate of 0.025%. Posts are seen about 3.7K times each, and 1.22% of those impressions turn into an interaction. That is about 2.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 105 interactions, about 2.3x its own typical post. Recurring topics include #icloud, #macos, #macsync. Only 3 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 Eugene Kaspersky's engagement rate on X?
Eugene Kaspersky (@e_kaspersky) has an engagement rate of 0.025%, based on the median interactions across 3 original posts from the last 30 days against 178,405 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, Eugene Kaspersky sits above the 25th percentile of the 202,956 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 @e_kaspersky have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @e_kaspersky post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 0.13 posts per day across the measured window.

Keep going