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nic carter engagement report

@nic_carter - 787K followers on X

Measured over 28 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Middle of its size range
Per follower
0.049%
of 787K followers
Per impression
1.19%
32K views on a typical post
Reach
4.17%
of its followers see a post
Typical post
382
interactions (median)
Saved
0.078%
25 bookmarks on a typical post
Posting rate
3.73/day
active 87% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 382 interactions against 787K followers, an engagement rate of 0.049%. Measured over 28 original posts, its engagement rate beats 59% of 20,444 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 32K times each, and 1.19% of those impressions turn into an interaction. That is about 4.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 28 posts sampled, 18% carry an image or video, 43% are part of a thread and 11% link out. The account's strongest tracked post pulled 16K interactions, about 42x its own typical post.

Measured over 28 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

nic carter's engagement rate beats 59% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 52% 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 0.049%, nic carter sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%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%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 video18% of posts+111%+108% to +115%34K
Outbound link11% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 18% 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.
  • 11% 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 495 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

  • Jun 9, 202542x their median

    a menswear account where i call all of my political opponents slobs and all the people i support immaculately dressed. and then i forget the menswear stuff and just post leftist slop full time. also i never post my own fits https://t.co/1zSQZBL1ga

    15K39112827392K viewsView on X
  • Sep 10, 202619x their median

    Anthropic slipped behind OpenAI for the first time in a while and they had their employees detonate a nail bomb in the informational town square. Charming people

    6.8K3188528243K viewsView on X
  • Aug 24, 20267.0x their median

    after a century of uninterrupted growth, for 15 years, between 2005 and 2020, America did not grow electrical generation. we completely forgot what it meant to grow industrial capacity. politicians constantly talked about "reindustrializing" and "bringing back high-paying blue collar jobs". then AI actually did it. for the first time in 20 years we started reindustrializing America's heartland. creating a massive boom of skilled, high-paying blue collar labor. an enormous construction boom. a new industry emerged to finance the expansion of our aging grid. a grid that needed to grow anyway, if we were going to become a modern, highly electrified economy. and all of a sudden the tech companies and hyperscalers showed up with wads of cash, completely willing to pay for a massive grid expansion. and all the politicians that talked so tough about "bringing back industry and blue collar jobs" panicked when the rubber hit the road. because the NIMBYists had become used to stagnation and freaked out when it came time to build a couple transmission lines. all that tough talk down the drain, because some boomers have AI anxiety and think a warehouse full of computers is unsightly next to a mattress warehouse and a vape shop. probably the most pathetic political episode I've ever witnessed. the only question that really matters is: is it still possible to build anything at all in this country? or have we completely lost the political will?

    2.2K31011842140K viewsView on X
  • Aug 7, 20266.8x their median

    It's boom times in Pyongyang. GDP for the DPRK has kicked into a higher gear, and if there's any doubt, you can see that from space that it's getting brighter and brighter at night. https://t.co/wRnCdAveWF https://t.co/QH7zyN1VL3

    2.2K25564102509K viewsView on X
  • Aug 18, 20266.4x their median

    It’s impossible to please the degrowth left If datacenters draw power from the grid, they’re “driving up prices” for ratepayers If datacenters go off grid / behind the meter, they’re “using scarce turbines that could otherwise be providing power to the grid” You can’t reason with people that are fundamentally opposed to abundance and growth. They will never be convinced Ignore the op. Tune them out.

    2.2K150114750K viewsView on X
  • Aug 13, 20266.3x their median

    has anyone done or thought of doing anything like take the very best frontier LLM. put it in a radiation tolerant computer in high earth or lunar orbit powered by solar arrays. give it a simple persistent beacon so it pings earth for the next thousand years. how to rebuild civilization in a box.

    2.1K7419117234K viewsView on X
  • Sep 12, 20265.9x their median

    Never thought I’d be rooting for Chinese ripoff distilled models but here we are

    2.1K99621578K viewsView on X
  • Aug 16, 20265.5x their median

    Right place, right time: many neoclouds spent years mining crypto, then AI showed up and turned their power rights, data centers, and GPUs into some of the hottest assets in tech. 25 quarters in, CoreWeave is pulling in more quarterly revenue than Azure, AWS, or Google Cloud were at 30. Charts of the Week: https://t.co/2D6Avy4f2T

    1.8K2048569527K viewsView on X
  • Sep 30, 20244.0x their median

    https://t.co/Vvv1bGT1d9

    1.3K2323447331K viewsView on X
  • Sep 16, 20264.0x their median

    Of all the professionals who are being obsoleted by AI, I think medical professionals are taking it the worst. They’re in complete denial that machines might be better than them and still berate you for talking to “Dr Google”

    1.3K4416029138K 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 382 interactions against 787K followers, an engagement rate of 0.049%. Measured over 28 original posts, its engagement rate beats 59% of 20,444 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 32K times each, and 1.19% of those impressions turn into an interaction. That is about 4.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 28 posts sampled, 18% carry an image or video, 43% are part of a thread and 11% link out. The account's strongest tracked post pulled 16K interactions, about 42x its own typical post.

What is nic carter's engagement rate on X?
nic carter (@nic_carter) has an engagement rate of 0.049%, based on the median interactions across 28 original posts from the last 30 days against 787,217 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.049%, nic carter sits above the 25th percentile of the 205,048 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 @nic_carter have real engagement?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (20,444 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 @nic_carter post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 3.73 posts per day across the measured window.

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