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DevOps on Azure engagement report

@AzureDevOps - 96K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 16, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 96K followers
Per impression
0.598%
3.3K views on a typical post
Reach
3.49%
of its followers see a post
Typical post
20
interactions (median)
Saved
0.119%
4 bookmarks on a typical post
Posting rate
0.63/day
active 63% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 20 interactions against 96K followers, an engagement rate of 0.021%. Measured over 19 original posts, its engagement rate beats 26% 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 3.3K times each, and 0.598% of those impressions turn into an interaction. That is about 3.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video and 100% link out. The account's strongest tracked post pulled 67 interactions, about 3.4x its own typical post. Recurring topics include #devops, #opensource, #winui.

Measured over 19 original posts from a 30-day window, last computed on September 16, 2026. Recurring tags: #devops, #opensource, #winui.

Compared with accounts its own size

DevOps on Azure's engagement rate beats 26% 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 28% 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%, DevOps on Azure sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

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 15:00 UTC, and Tuesday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video84% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 84% 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 261 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

  • Sep 9, 20263.4x their median

    🚀 GitHub Copilot Code Review is now in public preview for Azure Repos! 🤖 AI-powered PR reviews 📝 Custom review instructions 🔄 Automatic reviews via branch policies 🏊 Managed DevOps Pool support Catch issues earlier. Ship better code. 💯 📖 Read more: https://t.co/dwgcQo247v

    5015115.0K viewsView on X
  • Jul 27, 20263.3x their median

    OpenClaw + MCP + Azure Container Apps bring a steady, structured approach to autonomous DevOps. Agents plan, code, test, and deploy from a Teams message — all inside secure microVM sandboxes. A practical pattern for multi‑agent workflows. 👉 https://t.co/FGirQHPDf6 https://t.co/8EUvd2RXcG

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  • Aug 14, 20263.1x their median

    🎉 Azure DevOps Remote MCP Server is GA No install. No hosting. Just streamable HTTP + Entra auth → instant AI access to your DevOps data. VS Code + Copilot, Foundry, Copilot Studio already supported 🔌 👉 Read more: https://t.co/HE30GCpgqN https://t.co/0vuQWZ5oRe

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  • Aug 18, 20262.9x their median

    Azure Boards now shows PR status right on work item cards. 🔥 Instant “what’s in review?” clarity without opening the item or switching to Repos. Clean board fans: you can turn it off in settings. 👉 Blog: https://t.co/WD0wS34Cgw https://t.co/8Y1a1HrNy3

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  • Sep 8, 20262.5x their median

    🚀 Azure DevOps + GitHub Copilot = fewer context switches. View work items 📋 Manage PRs 🔀 Edit & complete work ✅ All from inside the GitHub Copilot app. 🤖✨ Time spent switching tabs: 📉 Time spent shipping: 📈 📖 Read more: https://t.co/k9xzyD17OR https://t.co/FDk4MwZUBe

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  • Aug 19, 20262.4x their median

    PAT‑free pipelines 🔐🔥 Azure DevOps now supports Service Connections using Entra workload identities — least‑privilege, no secrets, audit‑logged, cross‑org access. YAML repo resources, REST API calls, AzureCLI@3 Entra auth… all without tokens. 👉 Blog: https://t.co/lvfx9B99Kf https://t.co/MvCKTRbJcq

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  • Jul 13, 20262.3x their median

    ⚙️ MCP tools that run longer than client timeouts? Azure Functions + Durable Functions have your back. ⏳ Long‑running workflows 🔁 Orchestrations + checkpoints 🧩 Async task handles (via MCP Tasks extension) See how to build them 👇 https://t.co/63Gm5R3nNK https://t.co/3rXEdo1wRQ

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  • Aug 13, 20261.9x their median

    Azure Functions Agents now trace everything automatically. 🤖⚡ Model calls, tools, sub‑agents — all show up in App Insights with zero telemetry code. Even Model Router’s hidden model swaps (gpt‑5‑mini → gpt‑5.4) become visible for free. 👉 Blog: https://t.co/w1RAS7mMbK https://t.co/ou51vVmMap

    326103.5K viewsView on X
  • Aug 12, 20261.9x their median

    Markdown for Agents is live in public preview. 🎉 • App Service can auto‑convert HTML → Markdown with zero app changes • Cleaner agent input + big token savings (median 97% smaller, ~2ms) • Windows App Service only (for now) 🔗 https://t.co/ab3u6wegqg https://t.co/abd8TxchxU

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  • Aug 26, 20261.9x their median

    Azure Pipelines now runs native arm64 macOS agents. 🎉 Standard + XLarge images, Xcode‑27 naming, no Intel emulation. Pay‑as‑you‑go per‑minute billing + usage analytics for tight cost control. 👉 https://t.co/FOVHt02Gis https://t.co/enX9Dr12N0

    317003.5K 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

#devops#opensource#winui

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 20 interactions against 96K followers, an engagement rate of 0.021%. Measured over 19 original posts, its engagement rate beats 26% 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 3.3K times each, and 0.598% of those impressions turn into an interaction. That is about 3.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video and 100% link out. The account's strongest tracked post pulled 67 interactions, about 3.4x its own typical post. Recurring topics include #devops, #opensource, #winui.

What is DevOps on Azure's engagement rate on X?
DevOps on Azure (@AzureDevOps) has an engagement rate of 0.021%, based on the median interactions across 19 original posts from the last 30 days against 96,153 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, DevOps on Azure sits above the 10th 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 @AzureDevOps have real engagement?
Its engagement rate beats 26% 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 @AzureDevOps post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 0.63 posts per day across the measured window.

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