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Scott Hanselman ๐ŸŒฎ engagement report

@shanselman - 335K followers on X

Measured over 14 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 335K followers
Per impression
0.543%
13K views on a typical post
Reach
3.93%
of its followers see a post
Typical post
72
interactions (median)
Saved
0.232%
30 bookmarks on a typical post
Posting rate
1.07/day
active 47% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 72 interactions against 335K followers, an engagement rate of 0.021%. Measured over 14 original posts, its engagement rate beats 38% of 6,874 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 13K times each, and 0.543% of those impressions turn into an interaction. That is about 3.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 79% carry an image or video, 7% are part of a thread and 71% link out. The account's strongest tracked post pulled 9.5K interactions, about 132x its own typical post. Recurring topics include #retrocomputing, #vintagecomputing, #blinkenlights.

Measured over 14 original posts from a 30-day window, last computed on September 3, 2026. Recurring tags: #retrocomputing, #vintagecomputing, #blinkenlights.

Compared with accounts its own size

Scott Hanselman ๐ŸŒฎ's engagement rate beats 38% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 32% 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 0.021%, Scott Hanselman ๐ŸŒฎ sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.0%
Engagement rate as a share of followers, across the 65,980 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,142 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.0%

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 video79% of posts+111%+108% to +115%34K
Outbound link71% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 79% 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.
  • 71% 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 268 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 22, 2026132x their median

    Fun fact: The new OG Xbox Backwards Compatibility layer released by Microsoft for the PC is actually an Xbox 360 emulator running Xefu (the OG Xbox emu for the 360), confirmed by the XEX2/STFS magic and strings in the kernel such as โ€œXENON KERNEL EXITINGโ€. Crazy.

    8.7K6408089588K viewsView on X
  • Jul 22, 202648x their median

    XBOX Backward Compatibility on PC launches today in early release! Starting with four original XBOX classics, now playable on PC and handhelds for the first time ever! Even more games will be coming later this year. And did someone say Achievements are coming to OG XBOX games? Check out more on XBOX Wire: https://t.co/SoSVGkGyJl

    2.7K392283115185K viewsView on X
  • Jun 29, 20268.4x their median

    WSL container's public preview starts today, you can try it out right away! Blog post here for more details: https://t.co/RtZsioneN9

    4491261711114K viewsView on X
  • Aug 21, 20267.6x their median

    I don't want an AI that just writes the bubble sort for you. I want one that says I'd like to see you do it first. Mark Russinovich and I are working on a preceptorship, a model that teaches early in career engineers how to think. We should not become a subcognitive species. Talk https://t.co/zrkcon8uTc

    4605031825K viewsView on X
  • Jul 31, 20266.9x their median

    MICROSOFT ADDED A NEW BACKGROUND SERVICE TO YOUR PC IN WINDOWS 11. It is called Windows Health and Optimized Experiences. It starts automatically every time you boot. It monitors your CPU, thermals, and battery then sends data to Microsoft every 15 minutes. It was built for laptop battery management. If you are on a desktop gaming PC it does nothing for you except run in the background. Open Services and check if it is already running on your PC right now.

    44925195125K viewsView on X
  • Aug 26, 20266.5x their median

    Everybody on the dumpster fire that is Twitter wants you to buy their AI course. Felix Rieseberg built Language Model Builder, an app that teaches you how language models actually work by building one, and made it free. Full episode: https://t.co/2LQnh9E8jc https://t.co/9DzUJ62w2L

    3875719228K viewsView on X
  • Jul 13, 20266.0x their median

    Time under tension is the point https://t.co/NKsAf3HGd5

    3525218928K viewsView on X
  • Aug 6, 20263.6x their median

    Had Eric Lippert on the podcast to talk about his new book Fantastic Adventures in Data Structures and Algorithms - now it's out! On sale in early access. https://t.co/J5MU7nrKF7 @ManningBooks https://t.co/lWKIhUC4ie

    233216118K viewsView on X
  • Jun 18, 20263.1x their median

    I have a $30 stationary bike from Goodwill and an old Android tablet stuck to it, but I don't have a Peloton membership. Nor do I have the interest to ride 80 miles to the beach. So I made https://t.co/vrRJpd8Kty local PWA, no backend at all, no tracking, just 4k bike rides.

    1941813124K viewsView on X
  • Jul 16, 20262.6x their median

    Microsoft Comic Chat is now open source ;) https://t.co/krDwy4YP22 https://t.co/6cCaRJYjfR

    1233292126K 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

#retrocomputing#vintagecomputing#blinkenlights#vintage#vintagecomputer

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 72 interactions against 335K followers, an engagement rate of 0.021%. Measured over 14 original posts, its engagement rate beats 38% of 6,874 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 13K times each, and 0.543% of those impressions turn into an interaction. That is about 3.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 79% carry an image or video, 7% are part of a thread and 71% link out. The account's strongest tracked post pulled 9.5K interactions, about 132x its own typical post. Recurring topics include #retrocomputing, #vintagecomputing, #blinkenlights.

What is Scott Hanselman ๐ŸŒฎ's engagement rate on X?
Scott Hanselman ๐ŸŒฎ (@shanselman) has an engagement rate of 0.021%, based on the median interactions across 14 original posts from the last 30 days against 335,170 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, Scott Hanselman ๐ŸŒฎ sits above the 25th percentile of the 65,980 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 @shanselman have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (6,874 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 @shanselman post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.07 posts per day across the measured window.

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