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Onye Nkuzi engagement report

@cchukudebelu - 324K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Middle of its size range
Per follower
0.067%
of 324K followers
Per impression
1.40%
16K views on a typical post
Reach
4.79%
of its followers see a post
Typical post
217
interactions (median)
Saved
0.141%
22 bookmarks on a typical post
Posting rate
2.33/day
active 23% of days
Peak time
10:00 UTC
Thursday

A typical post picks up 217 interactions against 324K followers, an engagement rate of 0.067%. Measured over 21 original posts, its engagement rate beats 57% of 6,874 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 16K times each, and 1.40% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 21 posts sampled, 24% carry an image or video and 10% link out. The account's strongest tracked post pulled 98K interactions, about 451x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 4, 2026. Recurring tag: #fake.

Compared with accounts its own size

Onye Nkuzi's engagement rate beats 57% of the tracked X accounts closest to it in follower count (6,874 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 57% 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 0.067%, Onye Nkuzi 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 10:00 UTC, and Thursday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video24% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 24% 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.
  • 10% 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 386 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

  • Sep 2, 2026451x their median

    If Epstein was black, they'd have blamed the entire race.

    88K8.9K9612571.2M viewsView on X
  • Sep 2, 202657x their median

    The USS Abraham Lincoln was sent to project power. Now It is projecting tetanus. Touch it and you need a vaccine. https://t.co/2J4MK4w9BR

    9.8K1.8K5581701.3M viewsView on X
  • Sep 2, 202654x their median

    The Uber rapture is wild! Drivers and riders were mid-trip when it happened. Insane!

    10K1.0K852592.7M viewsView on X
  • Sep 2, 202636x their median

    uber announcing and leaving same day is actually insane

    6.7K9273189286K viewsView on X
  • Sep 1, 202627x their median

    Kolawole Erunkulu has been sentenced to six years after driving for 53 hours straight and causing a fatal collision. https://t.co/NXlpyQuzRG

    5.1K21317827517M viewsView on X
  • Sep 2, 202614x their median

    US Ambassador Gor: If you can't get a hold of me, reach out to Piyush and he'll arrange it. He is a dear friend Minister Goyal (joking): I'm worried to call you a friend. If you make such comments, I'll have half these people at my office looking for US visa appointments https://t.co/6Kt9MEEnOj

    2.7K2215434227K viewsView on X
  • Aug 22, 20264.8x their median

    I need to learn Chinese FAST. Anywhere in the bay where I can take classes or something? Or just general recommendations would be really helpful.

    7831224511814K viewsView on X
  • Sep 3, 20264.8x their median

    The way @Uber left Nigeria - abruptly, is illustrative of how Silicon Valley sees Nigerians/Africans; i.e. "as worthless people, not worthy of even an iota of respect". No matter how "terrible" you think Nigerians are as a people, you do not abruptly terminate a mission critical app like @Uber, with zero advance warning. There is absolutely no excuse for this; and if Nigerian regulators are worth their salt, the should take this up. This is not limited to @Uber - consider how @PayPal treated its Nigerian customers. Silicon Valley isn't going to treat its Nigerian customers with even a microgram of respect - until Nigerians as a collective make them do so, or Nigerian regulators make them pay dearly.

    679291443663K viewsView on X
  • Sep 3, 20262.5x their median

    Trump in a fit of craziness, renamed "Lake Ontario" to "Lake America" - and within two days, @Google and @Apple meekly complied. Americans who "blame German industrialists for collaborating with the Nazis" - should consider how easily Silicon Valley folds - in their quest for more lax regulation, access to billions of defense contracts etc.

    3511709813K viewsView on X
  • Sep 3, 2026

    The most talented Africans/Nigerians tend to be deluded enough to believe that they are "a special breed, distinguished by their individual brilliance". Trust me, they will come crashing down to Earth one day - the day they learn they are members of a group, among the most despised people in human history. They are members of a "collective".

    16858459.4K 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

#fake

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 217 interactions against 324K followers, an engagement rate of 0.067%. Measured over 21 original posts, its engagement rate beats 57% of 6,874 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 16K times each, and 1.40% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 21 posts sampled, 24% carry an image or video and 10% link out. The account's strongest tracked post pulled 98K interactions, about 451x its own typical post.

What is Onye Nkuzi's engagement rate on X?
Onye Nkuzi (@cchukudebelu) has an engagement rate of 0.067%, based on the median interactions across 21 original posts from the last 30 days against 324,450 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.067%, Onye Nkuzi 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 @cchukudebelu have real engagement?
Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (6,874 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 @cchukudebelu post?
Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 2.33 posts per day across the measured window.

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