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Microsoft Developer engagement report

@msdev - 530K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Middle of its size range
Per follower
0.052%
of 530K followers
Per impression
1.36%
20K views on a typical post
Reach
3.85%
of its followers see a post
Typical post
277
interactions (median)
Saved
0.215%
44 bookmarks on a typical post
Posting rate
1.17/day
active 53% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 277 interactions against 530K followers, an engagement rate of 0.052%. Measured over 15 original posts, its engagement rate beats 60% of 20,182 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 20K times each, and 1.36% of those impressions turn into an interaction. That is about 3.85% 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 53% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 33% carry an image or video, 27% are part of a thread and 53% link out. The account's strongest tracked post pulled 6.1K interactions, about 22x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on October 16, 2026. Recurring tag: #githubuniverse.

Compared with accounts its own size

Microsoft Developer's engagement rate beats 60% of the tracked X accounts closest to it in follower count (20,182 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 56% 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 0.052%, Microsoft Developer sits above the 25th percentile of the 204,424 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 percentile0.677%
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 16:00 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: 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: 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 video33% of posts+111%+108% to +115%34K
Outbound link53% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 33% 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.
  • 53% 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 223 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

  • Aug 25, 202622x their median

    The McDonald's web developer 😂🍔🍟 https://t.co/VKVTpxkPNT

    5.4K34619872732K viewsView on X
  • Oct 1, 20267.7x their median

    WSL containers is now generally available. Build, run and deploy Linux containers directly on Windows with the WSL containers CLI and API 🧵 https://t.co/oZ1fYo7QZD

    1.9K2124132160K viewsView on X
  • Oct 9, 20266.8x their median

    Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. https://t.co/jjtqKq34kV

    1.5K2354661104K viewsView on X
  • Jun 30, 202612x their median

    WSL container is now available for public preview. That means you can create, run, test, and debug Linux containers directly through WSL on Windows. Here’s how to get started + a few ways to try it 🧵 https://t.co/Wrd0oNPdvn

    1.2K292331498K viewsView on X
  • Jul 9, 20263.5x their median

    📣 @OpenAIDevs's GPT-5.6 family is now generally available and rolling out in GitHub Copilot. GPT-5.6 comes in three variants: ☀️ GPT-5.6 Sol: the highest reasoning ceiling in the family. Best for complex reasoning over large codebases and demanding, long-running agentic work. 🌎 GPT-5.6 Terra: the balanced default. A strong all-round choice for everyday interactive and agentic coding. 🌕 GPT-5.6 Luna: a lightweight, cost-efficient variant for smaller, faster tasks and the lowest-cost option in the family. Try one, two, or them all in @code or the GitHub Copilot app. https://t.co/FnzDLTHP6z

    82790417494K viewsView on X
  • Jul 27, 20263.2x their median

    Your dev environment is temporary. Jimothy is forever. https://t.co/DmUQfw1n1r

    527182939487K viewsView on X
  • Jul 30, 20262.9x their median

    Stacked pull requests are now in public preview on @github. Here’s what you need to know🧵

    742441912204K viewsView on X
  • Aug 21, 20262.6x their median

    In 2025, TypeScript became the most-used language on GitHub. Then came TypeScript 7, a native port built to be up to 10x faster. Creator @ahejlsberg joins The Peterman Pod to unpack the move to Go, the technical tradeoffs, agentic AI, and more. https://t.co/3TBagLxyqZ

    6248310535K viewsView on X
  • Jul 28, 20262.6x their median

    TypeScript creator @ahejlsberg puts TypeScript 7 through its paces, compiling the 2.3M-line @code codebase in under five seconds, and breaking down how the new 10x faster Go-powered compiler and language service scales with shared-memory concurrency. https://t.co/wLF0qu6UwU

    5929225844K viewsView on X
  • Jul 27, 20262.4x their median

    What's Jimothy training for? Wrong answers only... https://t.co/1yws7xXELu

    48484723188K 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

#githubuniverse

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 277 interactions against 530K followers, an engagement rate of 0.052%. Measured over 15 original posts, its engagement rate beats 60% of 20,182 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 20K times each, and 1.36% of those impressions turn into an interaction. That is about 3.85% 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 53% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 33% carry an image or video, 27% are part of a thread and 53% link out. The account's strongest tracked post pulled 6.1K interactions, about 22x its own typical post.

What is Microsoft Developer's engagement rate on X?
Microsoft Developer (@msdev) has an engagement rate of 0.052%, based on the median interactions across 15 original posts from the last 30 days against 530,338 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.052%, Microsoft Developer sits above the 25th percentile of the 204,424 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 @msdev have real engagement?
Its engagement rate beats 60% of the tracked X accounts closest to it in follower count (20,182 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 @msdev post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.17 posts per day across the measured window.

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