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Hacking Articles engagement report

@hackinarticles - 310K followers on X

Measured over 99 original posts from a 30-day window, last computed on September 18, 2026.

Engagement

Middle of its size range
Per follower
0.03%
of 310K followers
Per impression
1.05%
8.8K views on a typical post
Reach
2.85%
of its followers see a post
Typical post
92
interactions (median)
Saved
0.308%
27 bookmarks on a typical post
Posting rate
3.33/day
active 40% of days
Peak time
15:00 UTC
Friday

A typical post picks up 92 interactions against 310K followers, an engagement rate of 0.03%. Measured over 99 original posts, its engagement rate beats 40% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 8.8K times each, and 1.05% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 99 posts sampled, 99% carry an image or video and 65% link out. The account's strongest tracked post pulled 1.1K interactions, about 12x its own typical post. Recurring topics include #cybersecurity, #cybersecurityawareness, #cybersecuritytips.

Measured over 99 original posts from a 30-day window, last computed on September 18, 2026. Recurring tags: #cybersecurity, #cybersecurityawareness, #cybersecuritytips.

Compared with accounts its own size

Hacking Articles's engagement rate beats 40% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 46% 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 0.03%, Hacking Articles 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 Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video99% of posts+111%+108% to +115%34K
Outbound link65% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 99% 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.
  • 65% 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 733 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

  • Sep 16, 202612x their median

    🌐 12 Essential Network Protocols Every Cybersecurity Learner Should Know πŸ”₯ Telegram: https://t.co/upuP8k8ckB ✴️ Twitter: https://t.co/Za7rYILz6E Networking fundamentals = Cybersecurity fundamentals. πŸ” πŸ“‘ HTTP β€” Web communication πŸ”’ HTTPS β€” Secure web communication πŸ“ FTP β€” File transfer πŸ”— TCP β€” Reliable data delivery 🌍 IP β€” Device addressing & routing ⚑ UDP β€” Fast, connectionless communication πŸ“§ SMTP β€” Sending email πŸ›‘οΈ SSH β€” Secure remote access πŸ“¬ IMAP β€” Accessing email from a mail server 🎯 Master these protocols and you'll have a stronger foundation for: πŸ”Ή Network Security πŸ”Ή SOC Analysis πŸ”Ή Penetration Testing πŸ”Ή Web Security πŸ”Ή Cloud Security πŸ”Ή Threat Hunting πŸ“Œ Save this cheat sheet for your networking revision. πŸ” Repost to help another cybersecurity learner. #CyberSecurity #Networking #NetworkSecurity #EthicalHacking #Pentesting #SOC #Linux #InfoSec #CyberDefense #CyberSecurityTips

    9111732130K viewsView on X
  • Sep 12, 20268.2x their median

    🐧 Most Used Linux Commands β€” Cheat Sheet πŸ”₯ Telegram: https://t.co/upuP8k8ckB ✴️ Twitter: https://t.co/Za7rYILz6E πŸš€ Linux commands you should know by heart: πŸ“‚ ls β€” List files πŸ“ pwd β€” Current directory πŸ”€ cd β€” Change directory πŸ“„ cat β€” Read file πŸ”Ž grep β€” Search text 🧭 find β€” Find files πŸ” chmod β€” Change permissions πŸ‘€ chown β€” Change ownership 🌐 ip β€” Network information πŸ”— ss β€” Listening ports πŸ–₯️ ps β€” Running processes ⚑ top β€” Process monitor πŸ’€ kill β€” Terminate process πŸ’Ύ df β€” Disk usage πŸ“Š du β€” Directory size πŸ“¦ tar β€” Create/extract archives ⬇️ wget β€” Download files 🌍 curl β€” HTTP requests πŸ“‘ ssh β€” Remote login πŸ”§ systemctl β€” Manage services πŸ“¦ apt β€” Package management πŸ“– man β€” Command manual πŸ•˜ history β€” Command history 🎯 Whether you're a Linux beginner, pentester, SOC analyst, DevOps engineer, or sysadmin β€” these are essential. πŸ“Œ Save this cheat sheet πŸ” Repost to help someone learning Linux today. #Linux #LinuxCommands #CyberSecurity #KaliLinux #Pentesting #DevOps #SysAdmin #InfoSec #LearnLinux #CyberSecurityTips

    6311162220K viewsView on X
  • Sep 14, 20267.1x their median

    Pic of the Day #infosec #cybersecurity #cybersecuritytips #pentesting #cybersecurityawareness https://t.co/guCrPG2CAO

    5416836431K viewsView on X
  • Sep 3, 20265.5x their median

    Pic of the Day #infosec #cybersecurity #cybersecuritytips #pentesting #cybersecurityawareness https://t.co/lgIoaV0u0y

    4544010016K viewsView on X
  • Sep 16, 20265.1x their median

    Pic of the Day #infosec #cybersecurity #cybersecuritytips #pentesting #cybersecurityawareness https://t.co/dVTbfyuYIY

    428289418K viewsView on X
  • Sep 16, 20264.4x their median

    🌐 OSI Reference Model β€” Networking Cheat Sheet πŸ”₯ Telegram: https://t.co/upuP8k8ckB ✴️ Twitter: https://t.co/Za7rYILz6E πŸš€ If you’re learning Cybersecurity, Networking or Pentesting β€” master the OSI Model first. Here’s the 7-layer OSI model at a glance: 7️⃣ Application πŸ“§ HTTP β€’ HTTPS β€’ FTP β€’ SMTP β€’ SSH 6️⃣ Presentation πŸ” Encryption β€’ Compression β€’ Data Formatting 5️⃣ Session πŸ”— Session Establishment β€’ Connection Management β€’ RPC 4️⃣ Transport 🚚 TCP β€’ UDP β€’ Port Numbers 3️⃣ Network 🌐 IP β€’ Routing β€’ IPSec 2️⃣ Data Link πŸ”— MAC Addresses β€’ ARP β€’ VLAN β€’ STP 1️⃣ Physical ⚑ Copper β€’ UTP β€’ Fiber Optics β€’ Bit Stream 🧠 Quick memory trick: All People Seem To Need Data Processing 🎯 Understanding these layers makes it easier to troubleshoot networks and understand attacks, defenses, and protocols. πŸ“Œ Save this for your networking revision. πŸ” Repost to help another cybersecurity learner. #Networking #OSIModel #CyberSecurity #NetworkSecurity #Pentesting #EthicalHacking #KaliLinux #InfoSec #CyberDefense #NetworkingTips

    326723116K viewsView on X
  • Sep 16, 20263.8x their median

    Pic of the Day #infosec #cybersecurity #cybersecuritytips #pentesting #cybersecurityawareness https://t.co/1UvD7ksy8m

    3003120315K viewsView on X
  • Sep 12, 20263.6x their median

    Pic of the Day #infosec #cybersecurity #cybersecuritytips #pentesting #cybersecurityawareness https://t.co/tlWcOFgVXm

    292308413K viewsView on X
  • Sep 4, 20263.4x their median

    Pic of the Day #infosec #cybersecurity #cybersecuritytips #pentesting #cybersecurityawareness https://t.co/fI69G2m8us

    26938319.3K viewsView on X
  • Sep 16, 20263.3x their median

    πŸ”₯ Active Directory Basics β€” Enterprise Identity Management πŸ”₯ Telegram: https://t.co/upuP8k8ckB ✴️ Twitter: https://t.co/Za7rYILz6E 🏒 Active Directory is the backbone of identity and access management in many Windows enterprise environments. If you're learning AD Security, SOC, Pentesting or Red Teaming, start with these fundamentals: πŸ–₯️ Domain Controller (DC) β†’ Authenticates users & manages directory data πŸ‘₯ Users & Groups β†’ Organize identities and manage permissions πŸ“ Organizational Units (OUs) β†’ Structure users, groups & computers βš™οΈ Group Policy (GPO) β†’ Apply configurations and security policies 🌐 DNS β†’ Essential for AD communication and service discovery πŸ” How AD Works πŸ‘€ User Login ⬇️ πŸ–₯️ Domain Controller ⬇️ πŸ—„οΈ AD Database ⬇️ βœ… Authentication & Authorization 🚨 Why AD is a major security focus: ⬆️ Privilege Escalation πŸ”‘ Credential Theft ↔️ Lateral Movement ♾️ Persistence 🎯 Master these concepts before diving into advanced Active Directory security. πŸ“Œ Save this cheat sheet for your AD learning journey. πŸ” Repost to help another cybersecurity professional. #ActiveDirectory #CyberSecurity #ADSecurity #RedTeam #Pentesting #SOC #WindowsSecurity #BlueTeam #InfoSec #CyberDefense

    253491210K 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#cybersecurityawareness#cybersecuritytips#infosec#pentesting

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 92 interactions against 310K followers, an engagement rate of 0.03%. Measured over 99 original posts, its engagement rate beats 40% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 8.8K times each, and 1.05% of those impressions turn into an interaction. That is about 2.83% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 99 posts sampled, 99% carry an image or video and 65% link out. The account's strongest tracked post pulled 1.1K interactions, about 12x its own typical post. Recurring topics include #cybersecurity, #cybersecurityawareness, #cybersecuritytips.

What is Hacking Articles's engagement rate on X?
Hacking Articles (@hackinarticles) has an engagement rate of 0.03%, based on the median interactions across 99 original posts from the last 30 days against 310,075 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.03%, Hacking Articles 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 @hackinarticles have real engagement?
Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the middle of its size range 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 @hackinarticles post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 3.33 posts per day across the measured window.

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