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Hackread.com engagement report

@HackRead - 114K followers on X

Measured over 38 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Bottom quarter for its size
Per follower
0.008%
of 114K followers
Per impression
0.522%
1.7K views on a typical post
Reach
1.51%
of its followers see a post
Typical post
9
interactions (median)
Saved
0.058%
1 bookmarks on a typical post
Posting rate
1.3/day
active 53% of days
Peak time
10:00 UTC
Tuesday

A typical post picks up 9 interactions against 114K followers, an engagement rate of 0.008%. Measured over 38 original posts, its engagement rate beats 16% of 19,675 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.522% of those impressions turn into an interaction. That is about 1.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 100% link out. The account's strongest tracked post pulled 76 interactions, about 8.4x its own typical post. Recurring topics include #cybersecurity, #cybercrime, #malware.

Measured over 38 original posts from a 30-day window, last computed on October 8, 2026. Recurring tags: #cybersecurity, #cybercrime, #malware.

Compared with accounts its own size

Hackread.com's engagement rate beats 16% of the tracked X accounts closest to it in follower count (19,675 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 25% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.008%, Hackread.com sits above the 10th percentile of the 198,033 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.14%
p750.664%
p902.52%
p9982.6%
Engagement rate as a share of followers, across the 198,033 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,932 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 percentile0.14%
75th percentile0.664%
90th percentile2.52%
99th percentile82.6%

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 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: 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: 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 video3% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 3% 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 268 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

  • Oct 6, 20268.4x their median

    ⚠️📢 The FBI has confirmed multiple arrests in its #ShinyHunters investigation as authorities pursue suspects in several countries. The group’s leak site remains online, but no new breach claims have appeared. Listen/Read: https://t.co/Jd7Hc8dEii #FBI #Cybercrime #DataBreach

    6310214.1K viewsView on X
  • Sep 28, 20267.4x their median

    📢 Exclusive: ShinyHunters tells Hackread it will not publish or sell the FBI data it claims to have stolen when its ultimatum ends, saying a data leak was never planned. Listen/Read: https://t.co/taH1XPM86z #ShinyHunters #FBI #Cybersecurity #Cybercrime #DataBreach

    4914224.3K viewsView on X
  • Sep 29, 20263.6x their median

    A 16-year-old hacker found an authentication flaw in Microsoft’s Titan analytics service, gaining admin-level SQL access to an environment whose metadata indicated 17.3 trillion stored data rows. Listen/Read: https://t.co/R8jRYch6I4 #Microsoft #Cybersecurity #Hacking #BugBounty

    245123.0K viewsView on X
  • Oct 4, 20262.3x their median

    ⚠️📢 A key suspected #ShinyHunters member known as “Rey” has been detained in Jordan and is reportedly cooperating with the FBI to help identify other hackers. The suspect is named Saif al-Din Khader. Listen/Read: https://t.co/W7QUuEFXmU #CyberCrime #DataBreach #Jordan #FBI https://t.co/ZSlHU5pg9Z

    165003.1K viewsView on X
  • Sep 22, 20261.7x their median

    ShinyHunters defaced the official FBI Jobs portal and claims it obtained sensitive data on FBI agents, along with people who applied for jobs at the bureau. Listen/Read: https://t.co/zPep7XGt2C #FBI #ShinyHunters #Cybersecurity #DataBreach #Cybercrime #Hacking

    113102.1K viewsView on X
  • Oct 3, 20261.6x their median

    ⚠️📢 A key suspected #ShinyHunters member known as “Rey” has been detained in Jordan and is reportedly cooperating with the FBI to help identify other hackers. Listen/Read: https://t.co/W7QUuEFXmU #FBI #Cybercrime #DataBreach #Jordan #CyberSecurity

    102112.5K viewsView on X
  • Oct 7, 2026

    Over 100 Ukrainian websites were hacked to show fake Cloudflare checks that tricked visitors into installing Lunex Stealer, which steals passwords, browser data and crypto wallets. Listen/Read: https://t.co/X9A9lpgcIL #LunexStealer #ClickFix #Malware #Cybersecurity

    84101.7K viewsView on X
  • Oct 3, 2026

    ⚠️📢 The Dutch Institute for Vulnerability Disclosure (DIVD) was breached through 2 #Zammad 0-days in what it describes as an “agentic AI-powered attack,” leading to code execution and root access. Listen/Read: https://t.co/et7FgR6eGA #Cybersecurity #AI #CyberAttack #AgenticAI

    100202.1K viewsView on X
  • Sep 30, 2026

    ⚠️📢 Global Group ransomware is abusing the legitimate #WinMerge application to retrieve its encryptor after victims are lured through payment-themed phishing emails and malicious ISO files. Listen/Read: https://t.co/mokcbWt2sg #Ransomware #WinMerge #Phishing #Cybersecurity

    92102.1K viewsView on X
  • Oct 5, 2026

    ⚠️📢 Hackers are exploiting 24 known vulnerabilities to install the #ClingSTUN Linux backdoor on internet-facing IoT devices, turning them into remotely controlled proxy nodes. Listen/Read: https://t.co/SvZEcPyqNT #Cybersecurity #IoT #Linux #Malware #Vulnerability

    83001.9K 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

#cybersecurity#cybercrime#malware#databreach#shinyhunters

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 9 interactions against 114K followers, an engagement rate of 0.008%. Measured over 38 original posts, its engagement rate beats 16% of 19,675 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.7K times each, and 0.522% of those impressions turn into an interaction. That is about 1.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 100% link out. The account's strongest tracked post pulled 76 interactions, about 8.4x its own typical post. Recurring topics include #cybersecurity, #cybercrime, #malware.

What is Hackread.com's engagement rate on X?
Hackread.com (@HackRead) has an engagement rate of 0.008%, based on the median interactions across 38 original posts from the last 30 days against 114,051 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Hackread.com sits above the 10th percentile of the 198,033 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 @HackRead have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (19,675 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @HackRead post?
Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 1.3 posts per day across the measured window.

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