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NK engagement report

@_ninakayy1 - 656K followers on X

Measured over 6 original posts from a 30-day window, last computed on August 25, 2026.

Engagement

Per follower
0.004%
of 656K followers
Per impression
0.176%
14K views on a typical post
Reach
2.12%
of its followers see a post
Typical post
24
interactions (median)
Saved
0.018%
2 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
16:00 UTC
Monday

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 24 interactions against 656K followers, an engagement rate of 0.004%. Posts are seen about 14K times each, and 0.176% of those impressions turn into an interaction. That is about 2.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% 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 6 posts sampled, 100% link out. The account's strongest tracked post pulled 6.5K interactions, about 271x 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 August 25, 2026.

Where this sits in the catalog

At 0.004%, NK sits above the 10th percentile of the 36,654 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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.

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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • May 20, 2024271x their median

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    5.8K54512151.0M viewsView on X
  • Nov 5, 202595x their median

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    2.1K125113116K viewsView on X
  • Jun 22, 202581x their median

    VID SOLD! BOOTY! 4 Girl REVERSE GANGBANG 🔥 Check it out! https://t.co/H3hi1fgYdx #MVSales @manyvids https://t.co/VmR6jN8fpZ

    1.8K12271180K viewsView on X
  • Mar 25, 202580x their median

    VID SOLD! Want to see one of my private sex tapes 🔥 Check it out! https://t.co/VxSqW2vP7S #MVSales @manyvids https://t.co/FqeUw8Ud64

    1.8K13090203K viewsView on X
  • Jul 27, 202566x their median

    VID SOLD! Passionate Penthouse Sex 🔥 Check it out! https://t.co/7Agt3QwzN1 #MVSales @manyvids https://t.co/85CNIYZ1oR

    1.5K8971131K viewsView on X
  • Apr 8, 202562x their median

    VID SOLD! Juicy BBC Creampie from Rico 🔥 Check it out! https://t.co/LVYFAsB0ad #MVSales @manyvids https://t.co/IojohKBivU

    1.4K93111197K viewsView on X
  • Aug 13, 202553x their median

    VID SOLD! Getting my pussy stretched as I stretch 🔥 Check it out! https://t.co/0ZEpyRijRN #MVSales @manyvids https://t.co/0CufZmrgqy

    1.2K6990151K viewsView on X
  • Oct 12, 202552x their median

    VID SOLD! Bathtub sex and blowjobs are the best 🔥 Check it out! https://t.co/GP9mzkS5Db #MVSales @manyvids https://t.co/u1GIGiUgxS

    1.2K6591132K viewsView on X
  • Nov 13, 202552x their median

    VID SOLD! Want to see one of my private sex tapes 🔥 Check it out! https://t.co/VxSqW2vP7S #MVSales @manyvids https://t.co/u6nHWDaFVb

    1.2K6880112K viewsView on X
  • Jan 14, 202650x their median

    VID SOLD! Want to see one of my private sex tapes 🔥 Check it out! https://t.co/VxSqW2vP7S #MVSales @manyvids https://t.co/977QqneQ9A

    1.1K536095K 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.

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Reading these numbers

A typical post picks up 24 interactions against 656K followers, an engagement rate of 0.004%. Posts are seen about 14K times each, and 0.176% of those impressions turn into an interaction. That is about 2.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% 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 6 posts sampled, 100% link out. The account's strongest tracked post pulled 6.5K interactions, about 271x 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 NK's engagement rate on X?
NK (@_ninakayy1) has an engagement rate of 0.004%, based on the median interactions across 6 original posts from the last 30 days against 655,832 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, NK sits above the 10th percentile of the 36,654 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 @_ninakayy1 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @_ninakayy1 post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.

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