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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.14% |
| 75th percentile | 0.664% |
| 90th percentile | 2.52% |
| 99th percentile | 82.6% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 3% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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
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.