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Microsoft Reactor engagement report

@MSFTReactor - 88K followers on X

Measured over 41 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Bottom 10% for its size
Per follower
0.003%
of 88K followers
Per impression
0.403%
744 views on a typical post
Reach
0.85%
of its followers see a post
Typical post
3
interactions (median)
Saved
0.134%
1 bookmarks on a typical post
Posting rate
1.37/day
active 67% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 3 interactions against 88K followers, an engagement rate of 0.003%. Measured over 41 original posts, its engagement rate beats 9% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 744 times each, and 0.403% of those impressions turn into an interaction. That is about 0.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 41 posts sampled, 95% carry an image or video and 100% link out. The account's strongest tracked post pulled 21 interactions, about 7.0x its own typical post. Recurring topics include #githubcopilot, #msaigenius, #aiagents.

Measured over 41 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #githubcopilot, #msaigenius, #aiagents.

Compared with accounts its own size

Microsoft Reactor's engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 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 20% 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 0.003%, Microsoft Reactor sits below the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

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 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 video95% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 95% 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.
  • 100% 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 345 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Aug 13, 20267.0x their median

    šŸš€ Build modern, AI-ready apps on Azure with the Build Cloud-Native Apps Reactor Series. Learn how to design, build & operate cloud-native applications using: āœ… Azure Container Apps āœ… AKS āœ… App Service āœ… API Management Move from idea to production with confidence. šŸ”— Register: https://t.co/IrKhaVIzF9 #Azure #CloudNative #AI #AKS #Developers #MicrosoftReactor

    183004.6K viewsView on X
  • Aug 17, 20262.7x their median

    As AI becomes a core part of software delivery, understanding complex systems is more important than ever. Join "CoreStory: Building with AI in Systems You Don't Fully Understand" and explore strategies for navigating system ambiguity and enabling better AI-human collaboration. šŸŽŸļø Register: https://t.co/yyDJyMNKiD #MicrosoftReactor #DeveloperTools #GenAI #SoftwareEngineering #Modernization #CoreStory

    62001.0K viewsView on X
  • Aug 27, 20262.3x their median

    ā° Tomorrow! Build connected, intelligent AI agents with Microsoft Foundry, MCP, and Azure Logic Apps. https://t.co/rSKO2VzZCw #AIAgents #AzureLogicApps #MicrosoftFoundry #MCP https://t.co/9MHVwNZQmI

    5200855 viewsView on X
  • Aug 24, 20262.3x their median

    Legacy app modernization taking too long? Join this Microsoft Reactor series to see how the GitHub Copilot modernization agent can help you: āœ… Analyze large codebases āœ… Map dependencies āœ… Plan upgrades āœ… Refactor safely Move from legacy complexity to modernized apps in days, not months. Register: https://t.co/0NxEOUVjrb #AI #GitHubCopilot #DeveloperTools #SoftwareEngineering #MicrosoftReactor

    5200798 viewsView on X
  • Aug 19, 20262.3x their median

    šŸš€ Building AI? Start with the right data. Join our livestream on 26 Aug to learn how Microsoft Fabric powers scalable data pipelines, lakehouse architecture, and Spark-driven AI workflows. šŸ”— Level up your data engineering for AI https://t.co/iUQ45uRrPW #MicrosoftFabric #AI #DataEngineering #Lakehouse #BigData

    5200965 viewsView on X
  • Sep 21, 20262.0x their median

    ā° Happening this week! Join Let's Learn GitHub Copilot SDK and learn how to embed GitHub Copilot's agentic capabilities directly into your apps. āœ… Sessions & conversations āœ… Tool orchestration āœ… Streaming responses āœ… MCP integrations āœ… Agent customization šŸŒŽ Available in multiple languages. šŸŽŸļø Register now: [https://t.co/JsR45yYXWW #GitHubCopilot #AIAgents #AgenticAI #MicrosoftReactor #LearnLive

    5100864 viewsView on X
  • Sep 18, 20262.0x their median

    šŸš€ Boost your dev workflow with AI Learn how to use GitHub Copilot + VS Code for faster coding, debugging, and testing. šŸ“… 25 Sept 2026 | ā° 10:30 AM (UTC+10) https://t.co/1XEpqxsVEc #AIForDevelopers #GitHubCopilot #VSCode https://t.co/WOuP7lHP3e

    4200946 viewsView on X
  • Sep 9, 20262.0x their median

    The world changes fast. Your agents should keep up. Join us for Bringing Real-Time Web Knowledge to Agents with Web IQ and learn how to ground agents in current information from across the web. šŸ“… Sept 17 • 9 AM PT Register now: https://t.co/Qz67nsjVBE #MicrosoftReactor #AIAgents #WebIQ

    40111.2K viewsView on X
  • Sep 24, 20261.7x their median

    ā³ Tomorrow: Boost your dev workflow with AI Learn how to use GitHub Copilot + VS Code to code faster, debug smarter, and stay productive. šŸ“… 25 Sept | ā° 10:30 AM (UTC+10) https://t.co/0jxR41DDEc #AIForDevelopers #GitHubCopilot #VSCode https://t.co/bUPBHfwebH

    41001.2K viewsView on X
  • Sep 23, 20261.7x their median

    šŸš€ Explore Copilot & Cowork extensibility with WorkIQ Developer Tools. Learn where WorkIQ fits into the developer ecosystem and how plugins can connect enterprise knowledge, systems, and actions to AI-powered experiences. šŸ‘‰ Register: https://t.co/n6gR02CuLS #MicrosoftReactor #Copilot #WorkIQ #DeveloperTools #AI

    4100693 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

#githubcopilot#msaigenius#aiagents#microsoft365copilot#vscode

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 3 interactions against 88K followers, an engagement rate of 0.003%. Measured over 41 original posts, its engagement rate beats 9% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 744 times each, and 0.403% of those impressions turn into an interaction. That is about 0.85% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 41 posts sampled, 95% carry an image or video and 100% link out. The account's strongest tracked post pulled 21 interactions, about 7.0x its own typical post. Recurring topics include #githubcopilot, #msaigenius, #aiagents.

What is Microsoft Reactor's engagement rate on X?
Microsoft Reactor (@MSFTReactor) has an engagement rate of 0.003%, based on the median interactions across 41 original posts from the last 30 days against 87,530 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Microsoft Reactor sits below the 10th 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 @MSFTReactor have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size 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 @MSFTReactor post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.37 posts per day across the measured window.

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