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Kelly Sommers engagement report

@kellabyte - 53K followers on X

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

Engagement

Middle of its size range
Per follower
0.366%
of 53K followers
Per impression
1.60%
12K views on a typical post
Reach
22.8%
of its followers see a post
Typical post
194
interactions (median)
Saved
0.211%
26 bookmarks on a typical post
Posting rate
2.43/day
active 60% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 194 interactions against 53K followers, an engagement rate of 0.366%. Measured over 30 original posts, its engagement rate beats 69% of 20,445 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 12K times each, and 1.60% of those impressions turn into an interaction. That is about 22.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 30 posts sampled, 30% carry an image or video, 7% are part of a thread and 7% link out. The account's strongest tracked post pulled 3.7K interactions, about 19x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on October 15, 2026. Recurring tag: #re2026capcom.

Compared with accounts its own size

Kelly Sommers's engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,445 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 51% 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 0.366%, Kelly Sommers sits above the 50th percentile of the 205,374 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video30% of posts+111%+108% to +115%34K
Outbound link7% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 30% 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.
  • 7% 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 170 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 29, 202619x their median

    You hate dhh because of his agentic coding takes of 2026. I dismiss dhh’s technical opinions since ~2007 when he said a SQL database is just a big hashtable. We are not the same.

    3.5K1228030529K viewsView on X
  • Oct 5, 202611x their median

    I am not touching the operating system built from someone who cares so little and is proving to be the worst programmer I’ve ever seen.

    2.0K78657173K viewsView on X
  • Oct 7, 20265.1x their median

    Rails founders code has perf issues šŸ˜‚ I halved median response time in 5mins AI Go & Rust ports fix slow code written by Rails founders Rails uses Redis over TCP Go/Rust ports use in proc cache I’ve spent more time in the code than them. I give up. Code & benchmarks are trash

    907422917106K viewsView on X
  • Oct 6, 20264.3x their median

    ā€œI didn’t do it, AI didā€ is the biggest cope and laziest excuse of all time.

    7494137818K viewsView on X
  • Oct 6, 20264.0x their median

    Guess what? His benchmark client code is dog shit too. You can’t trust the ports or the benchmark clients. What a shit show šŸ˜‚ Remember folks: It has to be real āŒ It has be competent āŒ It has to be responsible āŒ All he did was 2025 like naive one shots+making YOU fix it https://t.co/5e3CMhOb2S

    7163322124K viewsView on X
  • Sep 29, 20263.0x their median

    It’s NOT a hot take that we will be reviewing less code soon But today you shouldn’t follow loud voices who have been full sending some of the worst code we’ve ever seen Stick with Ruby or any language for that matter if your team is executing Use AI to elevate your weaknesses

    53427245108K viewsView on X
  • Sep 26, 20263.0x their median

    Why don’t OSS projects post specs and prompts for work they want done? I have 3 token resets that expire in 5 days. That’s a lot of compute I could donate.

    4911177841K viewsView on X
  • Sep 30, 20262.1x their median

    I’ve been critical of the most embarrassing users of AI today & how careless they are being & just making other humans deal with it Soon I will blog about how I operate with current AI tools & how I stay on top of important things while accelerating. You don’t have to be shit!

    371101719.9K viewsView on X
  • Oct 7, 20262.0x their median

    The main reason he got bamboozled by AI is because his prompt was so bad and he takes a strict stance of not reading code or asking AI basic questions. I’ve seen people use AI for one shots way more difficult than this. He’s about a year behind on how to talk to AI.

    3651116236K viewsView on X
  • Oct 5, 20261.8x their median

    Maybe don’t follow lead of loud voices putting all reads behind a single global lock publishing benchmarks That’s how bad their code is They aren’t even trying to make code that works well or they don’t care or they are this bad at programming Either way, listen to smarter ppl

    3211714212K 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.

Recurring topics

#re2026capcom

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 194 interactions against 53K followers, an engagement rate of 0.366%. Measured over 30 original posts, its engagement rate beats 69% of 20,445 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 12K times each, and 1.60% of those impressions turn into an interaction. That is about 22.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 30 posts sampled, 30% carry an image or video, 7% are part of a thread and 7% link out. The account's strongest tracked post pulled 3.7K interactions, about 19x its own typical post.

What is Kelly Sommers's engagement rate on X?
Kelly Sommers (@kellabyte) has an engagement rate of 0.366%, based on the median interactions across 30 original posts from the last 30 days against 53,035 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.366%, Kelly Sommers sits above the 50th percentile of the 205,374 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 @kellabyte have real engagement?
Its engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,445 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 @kellabyte post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 2.43 posts per day across the measured window.

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