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Ron engagement report

@CodeMonkeyZ - 437K followers on X

Measured over 24 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.043%
of 437K followers
Per impression
1.04%
18K views on a typical post
Reach
4.16%
of its followers see a post
Typical post
190
interactions (median)
Saved
0.016%
3 bookmarks on a typical post
Posting rate
1.03/day
active 53% of days
Peak time
19:00 UTC
Wednesday

A typical post picks up 190 interactions against 437K followers, an engagement rate of 0.043%. Measured over 24 original posts, its engagement rate beats 57% 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 18K times each, and 1.04% of those impressions turn into an interaction. That is about 4.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 79K interactions, about 414x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

Ron's engagement rate beats 57% of the tracked X accounts closest to it in follower count (21,185 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 48% 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 0.043%, Ron sits above the 25th percentile of the 212,567 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%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 19:00 UTC, and Wednesday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video8% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 8% 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.
  • 4% 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 163 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

  • Jul 27, 2026414x their median

    Federal agents in Atlanta stopped a guy at the airport, forced him to unlock his phone, and it self-wiped using GrapheneOS's built-in duress feature The DOJ is now charging him with destroying evidence https://t.co/azYf1s6L39

    72K4.3K1.7K80313M viewsView on X
  • Sep 18, 202669x their median

    Trump somehow took defacto control of Greenland for free. Art of the deal.

    12K8152342596K viewsView on X
  • Sep 19, 202647x their median

    War is coming to Europe. Their leaders are telling us that. False flags will be flooding our feeds. Do not believe everything you see. Be wary of psyops.

    7.2K1.5K14860138K viewsView on X
  • Sep 14, 202644x their median

    Altman, Amodei and Musk are likely realizing that Google did not focus their external efforts on improving consumer ai and instead went all in on unlocking ASI.

    7.9K18013338966K viewsView on X
  • Dec 14, 202552x their median

    Please pray for @ScottAdamsSays. He needs all the strength he can get.

    5.6K4842131646K viewsView on X
  • Sep 19, 202633x their median

    Europe beating the drums of war is completely of their own doing. If they had helped America in Iran, then their oil wouldn't be cut off now. If they had kept their nuclear power plants open, then they wouldn't have an energy crisis. If they didn't import a bunch of "refugees" who share none of their core values, they wouldn't have a foreign army already hiding amidst their own citizens. If they didn't attack American corporations for frivolous social media posts, they would have more positive (to them) media coverage. The list goes on, but at the core of it they, due to overwhelming hubris, shot themselves in the foot.

    5.1K8812013882K viewsView on X
  • Sep 21, 202619x their median

    The @WhiteHouse acct is cooking.

    3.3K26837956K viewsView on X
  • Mar 2, 202633x their median

    China supplies most of the 5g towers in the middle east. If you are a serviceman connected to 5g, consider putting your phone in a faraday bag. 5g towers use beam forming technology that can easily pinpoint your device. Do you trust China not to share your location with Iran? https://t.co/XqJsTMdgp3

    1.7K926483541K viewsView on X
  • Aug 13, 202613x their median

    Feels like Christmas eve.

    2.0K27915766130K viewsView on X
  • Apr 30, 202612x their median

    I was in the GATE program as a kid. Enjoyed getting out of normal classes, but I now can't remember what we did on GATE program days after being taken out of class. https://t.co/uERNJglWhU

    1.7K1413805287K 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 190 interactions against 437K followers, an engagement rate of 0.043%. Measured over 24 original posts, its engagement rate beats 57% 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 18K times each, and 1.04% of those impressions turn into an interaction. That is about 4.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video and 21% are part of a thread. The account's strongest tracked post pulled 79K interactions, about 414x its own typical post.

What is Ron's engagement rate on X?
Ron (@CodeMonkeyZ) has an engagement rate of 0.043%, based on the median interactions across 24 original posts from the last 30 days against 437,126 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.043%, Ron sits above the 25th percentile of the 212,567 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 @CodeMonkeyZ have real engagement?
Its engagement rate beats 57% 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 @CodeMonkeyZ post?
Most posts go out around 19:00 UTC, and Wednesday is its busiest day, at roughly 1.03 posts per day across the measured window.

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