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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 53% 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
- 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
- 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
- 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
- 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
- Jul 27, 20263.2x their median
Your dev environment is temporary. Jimothy is forever. https://t.co/DmUQfw1n1r
- Jul 30, 20262.9x their median
Stacked pull requests are now in public preview on @github. Here’s what you need to know🧵
- 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
- 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
- Jul 27, 20262.4x their median
What's Jimothy training for? Wrong answers only... https://t.co/1yws7xXELu
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
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.