Code Geek engagement report
@codek_tv - 96K followers on X
Measured over 57 original posts from a 30-day window, last computed on August 24, 2026.
Engagement
A typical post picks up 62 interactions against 96K followers, an engagement rate of 0.065%. Measured over 57 original posts, its engagement rate beats 43% of 3,792 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 3.5K times each, and 1.78% of those impressions turn into an interaction. That is about 3.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 57 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.1K interactions, about 17x its own typical post.
Measured over 57 original posts from a 30-day window, last computed on August 24, 2026.
Compared with accounts its own size
Code Geek's engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,792 accounts, accounts of similar size (decile 5 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 62% 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 0.065%, Code Geek sits above the 25th percentile of the 36,759 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.4% |
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 02:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 54K |
| 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% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -3% | 95K |
| 14:00 UTC | -4% | 98K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -4% | 99K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 232K |
| Monday | 0% | 290K |
| Tuesday | -2% | 281K |
| Wednesday | -1% | 252K |
| Thursday | -2% | 245K |
| Friday | -3% | 254K |
| Saturday | +3% | 228K |
Best tweets
- Jun 9, 202617x their median
(a+b)³ = a³ + b³ + 3a²b + 3ab² https://t.co/MeqQOlO6OM
- Aug 13, 202610x 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.
- Aug 23, 20267.8x their median
Geometry Formulas Cheat Sheet https://t.co/qSYH36wbcJ
- Jul 15, 20266.4x their median
Find the value of x https://t.co/u5JZuG1tbv
- Aug 21, 20265.5x their median
Graphs of Functions https://t.co/Uzt9y4GdsQ
- Aug 19, 20263.3x their median
https://t.co/4PjLmA4IiK
- Aug 18, 20263.0x their median
Can you solve this? 99% can't https://t.co/9w4FeNrzZp
- Aug 20, 20262.9x their median
Geometry challenge: X = ? https://t.co/Lx4PKtiRuP
- Aug 24, 20262.7x their median
Even & Odd Function in Fourier Series ✍️ https://t.co/8gc4UENIm9
- Aug 18, 20262.6x their median
Gravitational Lensing - Newton would have said it was impossible. Light has no mass, gravity acts on mass, so gravity shouldn’t affect light. For two centuries, this reasoning seemed unshakable. Then Einstein came along and changed everything. He replaced the view of gravity with an idea so radical and beautiful that it still feels like science fiction, even though it’s now established fact. In Einstein's universe, gravity is not a force. It is the bending of spacetime itself, which is shaped by the presence of mass. Everything traveling through spacetime, including light, must follow these curves. Light cannot ignore the shape of spacetime any more than a marble can ignore the surface of a curved bowl. This insight leads to gravitational lensing, one of the most spectacular phenomena in the observable universe and a powerful tool in modern astronomy. The basic setup involves three elements arranged in a line of sight. Far in the background is a source a star, a galaxy, or a quasar shining brightly due to a supermassive black hole. Somewhere between the source and us is a massive object acting as a lens another galaxy, a cluster of galaxies, or even a single star. Here on Earth, the observer receives light that has been bent and redirected by the intervening mass. The source emits light in all directions. Some of this light travels paths that come close to the lens, gets deflected by the warped spacetime surrounding it, and reaches our telescopes from directions that don’t match where the source actually is. We see light coming from the wrong direction and interpret the source as being elsewhere. The lens creates an illusion, sometimes a stunningly beautiful one. The extent to which the lens deflects light depends on two factors—how massive the lens is and how closely the light approaches. More massive lenses curve spacetime more sharply and bend light more intensely. Light that passes closer to the lens, known as a smaller impact parameter, experiences a stronger gravitational field and gets deflected more. Light that travels farther away gets bent less. This variation in bending based on distance from the lens center is similar to how a glass lens works, bending light differently depending on where it strikes the surface. Gravity performs the same role, using curved spacetime instead of curved glass...
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 62 interactions against 96K followers, an engagement rate of 0.065%. Measured over 57 original posts, its engagement rate beats 43% of 3,792 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 3.5K times each, and 1.78% of those impressions turn into an interaction. That is about 3.63% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 57 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.1K interactions, about 17x its own typical post.
- What is Code Geek's engagement rate on X?
- Code Geek (@codek_tv) has an engagement rate of 0.065%, based on the median interactions across 57 original posts from the last 30 days against 96,164 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.065%, Code Geek sits above the 25th percentile of the 36,759 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 43% of the tracked X accounts closest to it in follower count (3,792 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 02:00 UTC, and Monday is its busiest day, at roughly 2.03 posts per day across the measured window.