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Jeff Geerling engagement report

@geerlingguy - 97K followers on X

Measured over 29 original posts from a 30-day window, last computed on September 17, 2026.

Engagement

Middle of its size range
Per follower
0.37%
of 97K followers
Per impression
1.91%
18K views on a typical post
Reach
19.4%
of its followers see a post
Typical post
353
interactions (median)
Saved
0.119%
22 bookmarks on a typical post
Posting rate
1.23/day
active 67% of days
Peak time
14:00 UTC
Friday

A typical post picks up 353 interactions against 97K followers, an engagement rate of 0.37%. Measured over 29 original posts, its engagement rate beats 74% 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 1.91% of those impressions turn into an interaction. That is about 19.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 29 posts sampled, 76% carry an image or video, 10% are part of a thread and 41% link out. The account's strongest tracked post pulled 20K interactions, about 57x its own typical post. Recurring topics include #vcfmw, #apple, #lunareclipse.

Measured over 29 original posts from a 30-day window, last computed on September 17, 2026. Recurring tags: #vcfmw, #apple, #lunareclipse.

Compared with accounts its own size

Jeff Geerling's engagement rate beats 74% 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 60% 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 0.37%, Jeff Geerling sits above the 50th percentile of the 212,567 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.696%.

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video76% of posts+111%+108% to +115%34K
Outbound link41% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 76% 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.
  • 41% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 220 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 26, 202657x their median

    Everyone in St. Louis is dead https://t.co/Hz2O39e5cB

    18K9946373692.1M viewsView on X
  • Aug 24, 202623x their median

    苹果M5服务器 #apple https://t.co/BJE4W0qPWF

    7.5K429122135964K viewsView on X
  • Aug 17, 202612x their median

    I was there. I remember. https://t.co/4yjvb6IMia

    3.7K21118866124K viewsView on X
  • Aug 21, 20266.7x their median

    Is there any application that updates as frequently as Discord? I thought it was Electron, what are they even doing downloading '10+' updates every time I relaunch it?

    2.2K16119592K viewsView on X
  • Aug 14, 20263.8x their median

    Welp. Glad I bought a few 2/4 TB NVMe two years ago. Not going to be happy the day one of them dies! https://t.co/d1kGsVd6pA

    1.2K381381163K viewsView on X
  • Aug 23, 20263.8x their median

    Welp, this trip to Columbus took an unexpected turn. Crohn's/ostomy issues tonight! Might be stuck here a little longer 😭 https://t.co/4XmzHEtr0z

    1.2K7136355K viewsView on X
  • Aug 5, 20263.7x their median

    Recently @jakkuh_t overtook @FireshipTech on the way towards toppling @LinusTech's long-time dominance in the 'Channels your audience watches'. https://t.co/7Fsx6kleCI

    1.2K1247158K viewsView on X
  • Jul 27, 20263.1x their median

    A man with a watch knows what time it is. A man with two watches is never sure. So now I have three GNSS PPS watches. And I can measure UTC to within 20-40ns. Just need my entire forearm. Not done yet: portable rubidium atomic clock for holdover. https://t.co/hvSOb8mYmM

    9995937540K viewsView on X
  • Aug 7, 20263.0x their median

    Today I test the $699 Dell XPS 13, and see how it compares to the MacBook Neo. I didn't realize it would have a more efficient CPU, upgradeable storage, or run Linux as well as it did... It's not flawless, but it's a good budget laptop. Video here: https://t.co/A2AEiHo0U1 https://t.co/Irconie4OM

    96833495128K viewsView on X
  • Aug 20, 20262.8x their median

    The Steam Deck LCD panel is available cheap (ca $30), but until now there hasn't been a way to use it with a Raspberry Pi. Luckily, the folks at Scandent open sourced a HAT design and kernel driver for it! See it in action in today's L2J video: https://t.co/Cl7UE8Qk2D https://t.co/SglNOL3aWo

    9067319226K 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

#vcfmw#apple#lunareclipse#stlwx

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 353 interactions against 97K followers, an engagement rate of 0.37%. Measured over 29 original posts, its engagement rate beats 74% 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 1.91% of those impressions turn into an interaction. That is about 19.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 29 posts sampled, 76% carry an image or video, 10% are part of a thread and 41% link out. The account's strongest tracked post pulled 20K interactions, about 57x its own typical post. Recurring topics include #vcfmw, #apple, #lunareclipse.

What is Jeff Geerling's engagement rate on X?
Jeff Geerling (@geerlingguy) has an engagement rate of 0.37%, based on the median interactions across 29 original posts from the last 30 days against 96,801 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.37%, Jeff Geerling sits above the 50th 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 @geerlingguy have real engagement?
Its engagement rate beats 74% 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 @geerlingguy post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 1.23 posts per day across the measured window.

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