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Intigriti engagement report

@intigriti - 216K followers on X

Measured over 37 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Middle of its size range
Per follower
0.045%
of 216K followers
Per impression
1.14%
8.5K views on a typical post
Reach
3.93%
of its followers see a post
Typical post
97
interactions (median)
Saved
0.483%
41 bookmarks on a typical post
Posting rate
2.43/day
active 100% of days
Peak time
09:00 UTC
Tuesday

A typical post picks up 97 interactions against 216K followers, an engagement rate of 0.045%. Measured over 37 original posts, its engagement rate beats 43% 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 8.5K times each, and 1.14% of those impressions turn into an interaction. That is about 3.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 37 posts sampled, 76% carry an image or video, 19% are part of a thread and 43% link out. The account's strongest tracked post pulled 471 interactions, about 4.9x its own typical post. Recurring topics include #hackwithintigriti, #bugbountytips.

Measured over 37 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #hackwithintigriti, #bugbountytips.

Compared with accounts its own size

Intigriti's engagement rate beats 43% 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 47% 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 0.045%, Intigriti sits above the 25th percentile of the 157,102 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,102 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,052 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 percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 09:00 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.

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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video76% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 76% 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.
  • 43% 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 305 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

  • Aug 29, 20264.9x their median

    403 Forbidden doesn't always mean that access controls are properly enforced... πŸ˜… unKover by @brutelogic tests any target returning a 401/403 URL against proven bypass techniques like path normalization, IP header spoofing, HTTP request method tampering, and URL encoding! 🀠 Check it out! πŸ‘‡ https://t.co/EoNONazxml

    408529223K viewsView on X
  • Sep 4, 20264.8x their median

    Mini crash course on web fuzzing! 🀠 A thread! 🧡 πŸ‘‡ https://t.co/onGAK0nhL1

    412533119K viewsView on X
  • Sep 27, 20264.7x their median

    what's stopping you from hacking like this? https://t.co/JAaFQGMWP7

    3841551314K viewsView on X
  • Sep 19, 20264.3x their median

    Did you know that some exposed Google Maps API keys also have access to Gemini Models? πŸ‘€ geminiHunter by @devploit is a new tool that finds and validates exposed Google Gemini API keys across web assets, source maps, Wayback snapshots, and even Android APKs. It deduplicates findings, checks if keys are actually valid, and even attempts bypass variations on restricted ones! 🀠 Check it out! πŸ‘‡ https://t.co/r38vApfDei

    353577115K viewsView on X
  • Aug 20, 20264.1x their median

    When fuzzing is no longer treated as merely bruteforcing, you start to unlock meaningful results 🀠 From discovering hidden assets to turning unusual behavior into exploitable vulnerabilities! 😎 In our latest article, we've teamed up with Orwa Atyat (@GodFatherOrwa) to dive deeper into mastering web fuzzing for reconnaissance and vulnerability exploitation. Read the article now! πŸ‘‡ https://t.co/QwjSWShCto

    329652134K viewsView on X
  • Aug 24, 20263.2x their median

    ⏰ It's CHALLENGE O'CLOCK! πŸ‘‰ Capture the flag before Monday the 31st of August πŸ‘‰ Win €400 in SWAG prizes πŸ‘‰ We'll release a tip for every 100 likes on this tweet This month's challenge was brought by us! πŸ‘‡ https://t.co/YM9DQLymjy https://t.co/x4HcUwymWE

    274923120K viewsView on X
  • Oct 1, 20263.2x their median

    Can you get RCE? 😎 https://t.co/KOc4FxCqjT

    2831012124K viewsView on X
  • Sep 20, 20263.1x their median

    Manually searching through HTTP traffic for leaked credentials can be tedious... πŸ˜“ Leaked-Credentials by @h4x0r_dz gives you a ready-to-use regex that catches API keys, secrets, tokens, and database passwords across 100+ common patterns. It works directly in Chrome DevTools, Firefox and Burp Suite! 🀠 Check it out! πŸ‘‡ https://t.co/9oiSV0TcBE

    259362014K viewsView on X
  • Sep 22, 20262.9x their median

    πŸ” DOM-based XSS remains one of the most missed vulnerability types because traditional testing methods simply won't find it! 🧐 As more application logic moves to the client-side, understanding how data flows from DOM sources to DOM sinks becomes essential. Our guide covers how to find DOM-based XSS vulnerabilities through static code analysis and runtime DOM interception to take over accounts, exfiltrate PII, and perform unauthorized actions on behalf of the victim! 😎 Read it now! πŸ‘‡ https://t.co/mfDxF3vUhb

    256253011K viewsView on X
  • Aug 27, 20262.9x their median

    Tips on fuzzing by @GodfatherOrwa πŸ‘‡ #BugBountyTips #HackWithIntigriti https://t.co/Ztc8q33vDE

    233473111K 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

#hackwithintigriti#bugbountytips

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 97 interactions against 216K followers, an engagement rate of 0.045%. Measured over 37 original posts, its engagement rate beats 43% 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 8.5K times each, and 1.14% of those impressions turn into an interaction. That is about 3.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 37 posts sampled, 76% carry an image or video, 19% are part of a thread and 43% link out. The account's strongest tracked post pulled 471 interactions, about 4.9x its own typical post. Recurring topics include #hackwithintigriti, #bugbountytips.

What is Intigriti's engagement rate on X?
Intigriti (@intigriti) has an engagement rate of 0.045%, based on the median interactions across 37 original posts from the last 30 days against 215,968 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.045%, Intigriti sits above the 25th percentile of the 157,102 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 @intigriti have real engagement?
Its engagement rate beats 43% 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 @intigriti post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 2.43 posts per day across the measured window.

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