HackerOne engagement report
@Hacker0x01 - 345K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 9, 2026.
Engagement
Early reading. We have captured 5 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 113 interactions against 345K followers, an engagement rate of 0.033%. Posts are seen about 12K times each, and 0.92% of those impressions turn into an interaction. That is about 3.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video and 80% link out. The account's strongest tracked post pulled 5.3K interactions, about 47x its own typical post. Only 5 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 5 original posts from a 30-day window, last computed on October 9, 2026.
Where this sits in the catalog
At 0.033%, HackerOne sits above the 25th percentile of the 204,798 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 16:00 UTC, and Monday 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 | 60% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 80% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 60% 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.
- 80% 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 389 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
- May 7, 202647x their median
Our security bug bounty program is now public on HackerOne. We've run the program privately within the security research community, and their findings have strengthened our products. Now anyone can report vulnerabilities and get rewarded. Read more: https://t.co/li1QvSTCMs
- Jun 8, 20266.9x their median
Yay, I was awarded a $98,900 bounty on @Hacker0x01! https://t.co/KH7YS5nkx1 #TogetherWeHitHarder
- Jul 2, 20266.6x their median
Congratulations, @H4cktus, on being the latest researcher to celebrate the $1 million earnings milestone! From quitting his restaurant job at 19 to 1500 bugs later and a million dollars, Hacktus shares his story. Read the blog to hear about how he got started, what his take on AI really is, and his advice for those starting out. https://t.co/HKMwubmN7R
- Jun 3, 20262.4x their median
Yesterday, we announced new product capabilities, and some of our messaging created confusion. We want to be direct. Researcher submissions are not used to train, fine-tune, or otherwise improve generative AI models. This applies across our platform, including H1 Continuous Testing, H1 Agentic PTaaS, and Hai. Third-party model providers we work with are also prohibited from retaining or using researcher data for their own training. We've updated our website language to reflect this more clearly. We heard your concerns, and we take them seriously.
- Aug 8, 20262.0x their median
Day 1 of #DEFCON is down! 🔥 HackerOne’s Dane Sherrets joined “The Future of Bug Bounty: Program Managers’ Perspective,” while Tony Lee took the stage for “Navigating AI-Assisted Submissions.” Great conversations, sharp perspectives, and plenty more ahead. Bring on Day 2. https://t.co/pyQuimYtkd
- Aug 12, 20261.6x their median
An incredible week of creativity, collaboration, and impact from the global security researcher community. Alongside @PayPal, you showed up and delivered. The work at this event helps keep customer data safe. Congrats to our winners: MVHs: alexbirsan, 82af5ddffbb795 Exterminator: ahacker1 Eradicator: oag Eliminators: alexbirsan, 82af5ddffbb795 #H1030 #TogetherWeHitHarder
- Jul 9, 20261.6x their median
Congratulations to the winners from our Live Hacking Event with @Salesforce in Tokyo! 🎉🇯🇵 First place: Metnew (@v_metnew) Second place: Geluchat (@Geluchat) Hashkitten (@hash_kitten) kevin_mizu Shubs (@infosec_au) Third place: adibou snorlhax Collaboration: Aussie Baguette Best Hacker: Aussie Baguette An incredible week of collaboration, creativity, and impact from the global security researcher community. In the agentic AI era, live collaboration helps organizations identify and remediate vulnerabilities faster. Thank you to everyone who participated and made the internet safer. 💻🔍
- May 29, 20261.6x their median
We’re excited to announce the top 3 winners from H1-361 Bali 🌴🏆 Huge congrats to these incredible security researchers for an unforgettable live hacking event: 🥇 1st Place — @nahuelrm_ 🥈 2nd Place — @zere 🥉 3rd Place — @joaxcar Thanks to everyone who joined us in Bali and helped make this event a great week of collaboration and community. #TogetherWeHitHarder
- Aug 9, 20261.5x their median
That’s a wrap on #DEFCON! Huge thanks to @BugBountyDEFCON and everyone who stopped to meet, chat, and spend time with us this week. And seeing the H1 logo light up on this year’s badge? Yeah, we loved that. 💖 Until next time, Vegas! https://t.co/8jW3jbUrI4
- Apr 20, 20262.2x their median
Live hacking season just dropped. Who’s ready? #TogetherWeHitHarder https://t.co/TJ9Ywa0FqZ
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 113 interactions against 345K followers, an engagement rate of 0.033%. Posts are seen about 12K times each, and 0.92% of those impressions turn into an interaction. That is about 3.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video and 80% link out. The account's strongest tracked post pulled 5.3K interactions, about 47x its own typical post. Only 5 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 HackerOne's engagement rate on X?
- HackerOne (@Hacker0x01) has an engagement rate of 0.033%, based on the median interactions across 5 original posts from the last 30 days against 344,504 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.033%, HackerOne sits above the 25th percentile of the 204,798 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 @Hacker0x01 have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @Hacker0x01 post?
- Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.23 posts per day across the measured window.