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Code Geek engagement report

@codek_tv - 98K followers on X

Measured over 113 original posts from a 30-day window, last computed on September 15, 2026.

Engagement

Middle of its size range
Per follower
0.085%
of 98K followers
Per impression
2.17%
3.8K views on a typical post
Reach
3.90%
of its followers see a post
Typical post
82
interactions (median)
Saved
0.186%
7 bookmarks on a typical post
Posting rate
4.13/day
active 60% of days
Peak time
23:00 UTC
Tuesday

A typical post picks up 82 interactions against 98K followers, an engagement rate of 0.085%. Measured over 113 original posts, its engagement rate beats 48% of 21,185 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 3.8K times each, and 2.17% of those impressions turn into an interaction. That is about 3.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 113 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 4.3K interactions, about 53x its own typical post.

Measured over 113 original posts from a 30-day window, last computed on September 15, 2026.

Compared with accounts its own size

Code Geek's engagement rate beats 48% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 63% 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 0.085%, Code Geek sits above the 25th percentile of the 212,270 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.695%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,270 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.025%
50th percentile0.146%
75th percentile0.695%
90th percentile2.61%
99th percentile83.1%

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 23:00 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: 23:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 23:00 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 video100% of posts+111%+108% to +115%34K
Outbound link1% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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.
  • 1% 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 88 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 13, 202653x their median

    How different places in the world do math https://t.co/rW4xcbtaA7

    3.6K405259441.2M viewsView on X
  • Aug 31, 202627x their median

    You Can Watch Euler's Formula, Unrolled.

    1.8K3623126108K viewsView on X
  • Jun 9, 202617x their median

    (a+b)³ = a³ + b³ + 3a²b + 3ab² https://t.co/MeqQOlO6OM

    8971494860K viewsView on X
  • Sep 8, 202610x their median

    Mathematics Formulas: Statistics https://t.co/UndsPqMtj4

    70911410118K viewsView on X
  • Sep 13, 20269.6x their median

    Taylor series - It is a clever method to approximate a complex curve or function using simple parts. You select one point on the curve as your starting reference. Then you measure how high it is at that point, how steep it is, how much it bends, and so on. You combine these components, starting with a flat value, then a straight slope, then a curve, and more, to recreate the original shape. The closer you are to your chosen point, the better the fit. This approach helps scientists and engineers easily calculate and predict things like force at different displacements without having to solve difficult problems each time...

    6501279412K viewsView on X
  • Sep 14, 20268.4x their median

    How strong is your reasoning ability? Use your brain, not a calculator. https://t.co/LalKOsduXp

    86659189.7K viewsView on X
  • Aug 13, 20267.8x their median

    At any point on a curve, there's one circle that fits the curve better than any other. It touches the curve at that point, leans in the same direction, and bends by the same amount. It tells you how sharply the curve is bending at that exact spot, and which way it's leaning. If the curve is bending sharply, the circle is small. If the curve is nearly straight, the circle is huge. The osculating circle of the curve.

    5497712550K viewsView on X
  • Sep 12, 20267.1x their median

    ALGEBRA: FUNCTION GRAPH https://t.co/Wwcjf0Bb2i

    493833426K viewsView on X
  • Sep 12, 20267.0x their median

    Most Important Mathematical Symbols ✍️ https://t.co/wbok3bE7as

    4581057118K viewsView on X
  • Aug 23, 20265.9x their median

    Geometry Formulas Cheat Sheet https://t.co/qSYH36wbcJ

    40080419.4K 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.

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Reading these numbers

A typical post picks up 82 interactions against 98K followers, an engagement rate of 0.085%. Measured over 113 original posts, its engagement rate beats 48% of 21,185 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 3.8K times each, and 2.17% of those impressions turn into an interaction. That is about 3.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 23:00 UTC, and Tuesday is the busiest day of the week. Of the 113 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 4.3K interactions, about 53x its own typical post.

What is Code Geek's engagement rate on X?
Code Geek (@codek_tv) has an engagement rate of 0.085%, based on the median interactions across 113 original posts from the last 30 days against 98,153 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.085%, Code Geek sits above the 25th percentile of the 212,270 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 @codek_tv have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (21,185 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 @codek_tv post?
Most posts go out around 23:00 UTC, and Tuesday is its busiest day, at roughly 4.13 posts per day across the measured window.

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