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Programming Wisdom engagement report

@CodeWisdom - 263K followers on X

Measured over 39 original posts from a 30-day window, last computed on October 30, 2026.

Engagement

Middle of its size range
Per follower
0.09%
of 263K followers
Per impression
2.49%
9.5K views on a typical post
Reach
3.60%
of its followers see a post
Typical post
236
interactions (median)
Saved
0.317%
30 bookmarks on a typical post
Posting rate
1.33/day
active 77% of days
Peak time
16:00 UTC
Friday

A typical post picks up 236 interactions against 263K followers, an engagement rate of 0.09%. Measured over 39 original posts, its engagement rate beats 57% of 21,624 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 9.5K times each, and 2.49% of those impressions turn into an interaction. That is about 3.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 10K interactions, about 43x its own typical post.

Measured over 39 original posts from a 30-day window, last computed on October 30, 2026.

Compared with accounts its own size

Programming Wisdom's engagement rate beats 57% of the tracked X accounts closest to it in follower count (21,624 accounts, accounts of similar size (decile 9 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 69% 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 0.09%, Programming Wisdom sits above the 25th percentile of the 217,635 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.148%.

p100.004%
p250.025%
p50 (median)0.148%
p750.704%
p902.63%
p9982.4%
Engagement rate as a share of followers, across the 217,635 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,696 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 percentile0.148%
75th percentile0.704%
90th percentile2.63%
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 Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 0% 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 134 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

  • Apr 20, 202643x their median

    I don’t have to be convinced that LLM’s make programmers more productive. But where’s all the stuff? We’ve now had months and months of 100x or 1000x programmet productivity improvements. Where’s all the stuff they’re building?

    9.0K202726132847K viewsView on X
  • Nov 24, 202322x their median

    "Programming isn't about what you know; it's about what you can figure out." – Chris Pine

    3.1K7093728260K viewsView on X
  • Apr 3, 20188.0x their median

    “Any code of your own that you haven't looked at for six or more months might as well have been written by someone else. ” - Eagleson's law

    1.3K4971537View on X
  • Oct 15, 20267.9x their median

    “A good programmer is someone who looks both ways before crossing a one-way street.” — Doug Linder

    1.7K169231032K viewsView on X
  • Oct 9, 20267.4x their median

    "The purpose of software engineering is to control complexity, not to create it." – Pamela Zave More true now than ever.

    1.5K217201139K viewsView on X
  • Apr 13, 20266.4x their median

    "You don't pay engineers to write code, you pay them to understand subtleties and edges of the problem. The code is incidental." – Ted Dziuba

    1.3K19214638K viewsView on X
  • Jan 5, 20247.4x their median

    "I had this crazy idea that I’m going to build a database engine that does not have a server, that talks directly to disk, and ignores the data types, and if you asked any of the experts of the day, they would say, “That’s impossible. That will never work. That’s a stupid idea.” Fortunately, I didn’t know any experts, so I did it anyway." – D. Richard Hipp (SQLite creator)

    1.1K1762516219K viewsView on X
  • Oct 24, 20264.8x their median

    “Rarely is anyone thanked for the work they did to prevent the disaster that didn’t happen.” — Mikko Hyppönen

    946157121028K viewsView on X
  • Apr 20, 20264.3x their median

    "UNIX is basically a simple operating system, but you have to be a genius to understand the simplicity." – Dennis Ritchie

    9098911130K viewsView on X
  • Oct 27, 20235.4x their median

    "In programming the hard part isn’t solving problems, but deciding what problems to solve." - Paul Graham

    660281112063K 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 236 interactions against 263K followers, an engagement rate of 0.09%. Measured over 39 original posts, its engagement rate beats 57% of 21,624 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 9.5K times each, and 2.49% of those impressions turn into an interaction. That is about 3.60% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. The account's strongest tracked post pulled 10K interactions, about 43x its own typical post.

What is Programming Wisdom's engagement rate on X?
Programming Wisdom (@CodeWisdom) has an engagement rate of 0.09%, based on the median interactions across 39 original posts from the last 30 days against 263,297 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.09%, Programming Wisdom sits above the 25th percentile of the 217,635 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 @CodeWisdom have real engagement?
Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (21,624 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 @CodeWisdom post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 1.33 posts per day across the measured window.

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