JS0N Haddix engagement report
@Jhaddix - 180K followers on X
Measured over 17 original posts from a 30-day window, last computed on September 18, 2026.
Engagement
A typical post picks up 122 interactions against 180K followers, an engagement rate of 0.068%. Measured over 17 original posts, its engagement rate beats 50% 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 8.4K times each, and 1.45% of those impressions turn into an interaction. That is about 4.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 17 posts sampled, 41% carry an image or video, 6% are part of a thread and 29% link out. The account's strongest tracked post pulled 838 interactions, about 6.9x its own typical post.
Measured over 17 original posts from a 30-day window, last computed on September 18, 2026.
Compared with accounts its own size
JS0N Haddix's engagement rate beats 50% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 8 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 54% 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 0.068%, JS0N Haddix sits above the 25th percentile of the 156,969 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 18:00 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.
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 | 41% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 29% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 41% 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.
- 29% 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 231 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
- Aug 15, 20266.9x their median
If you are a young vulnerability researcher, it's important to remember this: When people write blog posts or give conference talks on the brilliant multi-bug exploit chains that they discover, they generally talk about it as though they just elegantly pranced from one brilliant insight to another. The reality, of course, is almost always much less elegant, and involved a lot more banging of one's head against the wall to finally stumble into each brilliant insight. But you can't blame people for doing this, because talking about the 1,001 things that didn't work would make the talk or blog post way too long and incomprehensible.
- Aug 21, 20266.0x their median
Yesterday I popped an XSS. No scanner, no AI, just my brain and my monkey fingers. Like a maniac. 🤷🏻♂️
- Aug 12, 20264.8x their median
Over 71 free prompt injection labs and more to be added (and removed) next week! https://t.co/LjrbXS3PI7 And If you you want to learn how to pentest and hack AI systems check out: Attacking AI: https://t.co/cp2y6DDxqp 🫶🫶 https://t.co/2GFhzUmunI
- Aug 18, 20263.4x their median
Most AI Red Teaming or Pentesting courses teach you one or two agent exfiltration methods... In our next version of "Attacking AI" We'll be sharing exclusive tooling (Agent-Raider) with the students that allows you to create payloads for our proprietary ~80 exfiltration techniques and channels for exploiting AI agents. Steal data, bypass sandboxing, and pivot using these technique primitives! Agent-Raider also works with our Arcanum Prompt Injection Taxonomy as well! Link for the next class: https://t.co/IYAgKSQiWV
- Sep 16, 20263.2x their median
Today we are releasing a 1 page version of “Hacking Your Career” https://t.co/Ca8AUDayJ9 We get a bunch of students and early career-seekers looking for resources and advice of getting their 1st gig. This resource gives all those and more; free trainings, free certificates for your résumé, advice on résumé design, information on career verticals, small sections on interviewing and the hiring process, and more! 🫶🫶
- Aug 12, 20263.1x their median
Personal post: My 1st born leaves for college this week. We are best friends. I stand with her, as support and guidance, as she goes off to college but I’m also in some sort of mourning.
- Aug 21, 20262.7x their median
The new attack surface is AI. - AI enabled web-app and APIs - AI enabled infrastructure - Employees using AI harnesses - Organizations turning on AI productivity features Attacking AI is a one of a kind course that teaches methodology to assess each one of these scenarios. Join us for the next cohort! https://t.co/IYAgKSQiWV
- Aug 17, 20261.9x their median
I shit you not and idea for a offsec tool came to me in a dream today lol
- Mar 5, 20261.8x their median
Inspired by @uwu_underground … @arcanuminfosec is releasing our first EP! Our Prompt Injection Taxonomy (PIT) EP has three tracks! 1. Prompt Injextion 2. </system> 3. Link Injection Lullaby SoundCloud Link in comment, enjoy! 😉 https://t.co/pd37iUVh7b
- Aug 17, 20261.8x their median
https://t.co/y6IYO5NGsj
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 122 interactions against 180K followers, an engagement rate of 0.068%. Measured over 17 original posts, its engagement rate beats 50% 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 8.4K times each, and 1.45% of those impressions turn into an interaction. That is about 4.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 17 posts sampled, 41% carry an image or video, 6% are part of a thread and 29% link out. The account's strongest tracked post pulled 838 interactions, about 6.9x its own typical post.
- What is JS0N Haddix's engagement rate on X?
- JS0N Haddix (@Jhaddix) has an engagement rate of 0.068%, based on the median interactions across 17 original posts from the last 30 days against 180,247 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.068%, JS0N Haddix sits above the 25th percentile of the 156,969 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 @Jhaddix have real engagement?
- Its engagement rate beats 50% 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 @Jhaddix post?
- Most posts go out around 18:00 UTC, and Friday is its busiest day, at roughly 1.2 posts per day across the measured window.