KRK engagement report
@kamaalrkhan - 4.9M followers on X
Measured over 571 original posts from a 30-day window, last computed on October 29, 2026.
Engagement
A typical post picks up 688 interactions against 4.9M followers, an engagement rate of 0.014%. Posts are seen about 47K times each, and 1.46% of those impressions turn into an interaction. That is about 0.961% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 22.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 571 posts sampled, 41% carry an image or video and 7% link out. The account's strongest tracked post pulled 219K interactions, about 451x its own typical post. Recurring topics include #drishyam3, #udtateer, #ramayana.
Measured over 571 original posts from a 30-day window, last computed on October 29, 2026. Recurring tags: #drishyam3, #udtateer, #ramayana.
Where this sits in the catalog
At 0.014%, KRK sits above the 10th percentile of the 212,146 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.694% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 07:00 UTC, and Saturday 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 | 7% 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.
- 7% 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 209 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
- Nov 29, 2011451x their median
In order to get elected, @BarackObama will start a war with Iran.
- Oct 9, 2026283x their median
Hello Delhi, Ready for tomorrow? 💪 🇮🇳 https://t.co/KnOr3T8QcH
- Oct 18, 2026123x their median
The Supreme Court burns to the ground in Albania, Parliament and the Department of Education has been stormed, the Prime Minister is in hiding and the country is effectively in the hands of the rebels. Albania rejects blatant corruption and their country being sold. https://t.co/EH22FBySId
- Aug 21, 202667x their median
If you are still blaming Obama and Biden for your failures after 578 days in office, you need to fucking resign.
- Aug 18, 202660x their median
JUST IN: Study finds that short-form video content such as TikTok, Instagram Reels, and YouTube shorts deactivate cognitive brain regions.
- Jul 13, 201478x their median
The killing of & killing by little children will solve nothing for the 'victims' or the 'victims of the victims.' Prayers Peace Palestine.
- Oct 10, 202638x their median
Just a reminder that most of the Indians shot at Jallianwala Bagh were shot by Indians in uniforms Gen. Dyer didn’t kill them all himself There are lessons in history that keep getting repeated
- Aug 15, 202635x their median
A Prime Minister who calls his own people “Dimagi Naxal” is not mentally fit to remain a PM.
- Sep 19, 202634x their median
#BREAKING: Pentagon blames flawed intel and AI for strike that killed at least 123 Iranian children.
- Aug 19, 202630x their median
Interesting News !! S€X is seen as a BASIC HUMAN RIGHT in the NETHERLAND. Disabled citizens can receive government funds to pay for prost!tutes for upto 12 times a year as a form of physical and mental therapy.
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 688 interactions against 4.9M followers, an engagement rate of 0.014%. Posts are seen about 47K times each, and 1.46% of those impressions turn into an interaction. That is about 0.961% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 22.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 07:00 UTC, and Saturday is the busiest day of the week. Of the 571 posts sampled, 41% carry an image or video and 7% link out. The account's strongest tracked post pulled 219K interactions, about 451x its own typical post. Recurring topics include #drishyam3, #udtateer, #ramayana.
- What is KRK's engagement rate on X?
- KRK (@kamaalrkhan) has an engagement rate of 0.014%, based on the median interactions across 571 original posts from the last 30 days against 4,901,438 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.014%, KRK sits above the 10th percentile of the 212,146 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 @kamaalrkhan have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @kamaalrkhan post?
- Most posts go out around 07:00 UTC, and Saturday is its busiest day, at roughly 22.7 posts per day across the measured window.