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HackerOne engagement report

@Hacker0x01 - 342K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Per follower
0.038%
of 342K followers
Per impression
0.918%
14K views on a typical post
Reach
4.13%
of its followers see a post
Typical post
129
interactions (median)
Saved
0.082%
12 bookmarks on a typical post
Posting rate
0.23/day
active 17% of days
Peak time
15:00 UTC
Sunday

Early reading. We have captured 6 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 129 interactions against 342K followers, an engagement rate of 0.038%. Posts are seen about 14K times each, and 0.918% of those impressions turn into an interaction. That is about 4.11% 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 15:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 33% link out. The account's strongest tracked post pulled 5.4K interactions, about 41x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on September 3, 2026. Recurring tag: #defcon.

Where this sits in the catalog

At 0.038%, HackerOne sits above the 25th percentile of the 66,258 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 15:00 UTC, and Sunday 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video100% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 33% 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 439 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, 202641x 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

    4.4K509216208956K viewsView on X
  • Jun 8, 20266.1x their median

    Yay, I was awarded a $98,900 bounty on @Hacker0x01! https://t.co/KH7YS5nkx1 #TogetherWeHitHarder

    7261936146K viewsView on X
  • Jul 2, 20265.8x 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

    6433168656K viewsView on X
  • Jun 3, 20262.1x 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.

    20515331852K viewsView on X
  • Aug 8, 20261.8x 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

    211132015K viewsView on X
  • Jul 9, 2026

    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. 💻🔍

    161105733K viewsView on X
  • May 29, 2026

    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

    156136218K viewsView on X
  • Apr 20, 2026

    Live hacking season just dropped. Who’s ready? #TogetherWeHitHarder https://t.co/TJ9Ywa0FqZ

    1441011330K viewsView on X
  • Aug 9, 2026

    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

    15764014K viewsView on X
  • May 6, 2026

    Congratulations to the #H1-21 award winners! 🎉 Thank you for your incredible work in Lisbon. Your contributions help make the digital world safer for everyone. https://t.co/6gTDKa59Ct

    14695626K 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

#defcon

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 129 interactions against 342K followers, an engagement rate of 0.038%. Posts are seen about 14K times each, and 0.918% of those impressions turn into an interaction. That is about 4.11% 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 15:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 33% link out. The account's strongest tracked post pulled 5.4K interactions, about 41x its own typical post. Only 6 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 0.038%, based on the median interactions across 6 original posts from the last 30 days against 342,194 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.038%, HackerOne sits above the 25th percentile of the 66,258 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 15:00 UTC, and Sunday is its busiest day, at roughly 0.23 posts per day across the measured window.

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