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Google Workspace Developers engagement report

@workspacedevs - 321K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Per follower
0.004%
of 321K followers
Per impression
0.314%
4.6K views on a typical post
Reach
1.44%
of its followers see a post
Typical post
14
interactions (median)
Saved
0.076%
4 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
16:00 UTC
Monday

Early reading. We have captured 6 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 14 interactions against 321K followers, an engagement rate of 0.004%. Posts are seen about 4.6K times each, and 0.314% of those impressions turn into an interaction. That is about 1.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 100% link out. The account's strongest tracked post pulled 1.6K interactions, about 112x its own typical post. Recurring topics include #appsscript, #gemini. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 6 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #appsscript, #gemini.

Where this sits in the catalog

At 0.004%, Google Workspace Developers sits above the 10th percentile of the 65,980 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

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 16:00 UTC, and Monday 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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 172 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Apr 22, 2026112x their median

    šŸš€ Big News from #GoogleCloudNext 2026! We are introducing the Workspace #MCPServer. Now in preview, this lets developers plug Workspace directly into any AI app. Read the Google Workspace at Cloud Next ā€˜26 blog post to learn more: https://t.co/jw5KgqBxv0

    1.2K2640109469K viewsView on X
  • Apr 27, 20263.2x their median

    As announced at #GoogleCloudNext last week, we launched the #WorkspaceMCP server to the Developer Preview Program. Check out this guide to get started with bringing advanced Workspace capabilities into your AI apps and agents: https://t.co/Z30MsrO3CS

    364503.7K viewsView on X
  • Dec 3, 20252.4x their median

    Hello @GoogleWorkspace Studio šŸ‘‹ We can't wait to start building custom AI agents to help us automate daily tasks šŸ¤– Learn more: https://t.co/aFOxAvMhSU https://t.co/6iWffef5mA

    217322.6K viewsView on X
  • Aug 5, 20261.6x their median

    You can now use the Gemini side panel in the Apps Script editor to āœ… Generate āœ… Modify āœ… Debug code This feature is available through the Gemini Beta program. https://t.co/Uz6xWzDH5D

    154214.9K viewsView on X
  • Feb 10, 20261.5x their median

    Stop wasting time on busy work. šŸ›‘ Our new video shows you how to automate repetitive tasks with #GoogleWorkspaceStudio. šŸš€ Build your first workflow in minutes. šŸ› ļø Watch the tutorial: https://t.co/SqZOXbX3CT

    154202.7K viewsView on X
  • Oct 29, 2025

    #WorkspaceFlows launched to #Gemini Alpha yesterday & will begin rolling out to eligible end users! šŸŽ‰ Flows brings agentic automation directly into @GoogleWorkspace. Check out this video to learn more about Workspace Flows šŸ‘‡ https://t.co/HuvRPeqoiI

    107012.6K viewsView on X
  • Aug 10, 2026

    See how you can vibe code an add-on with #Gemini directly in the #AppsScript editor. https://t.co/JYDTCc1ZUp

    114205.3K viewsView on X
  • Aug 18, 2026

    Google Workspace Studio Update šŸ“£ We are adding a new set of enterprise security controls to enable additional collaboration use cases. Soon, you'll be able to send out email messages, write content to a shared (cont) https://t.co/kCETbTW4ym

    133004.6K viewsView on X
  • Feb 27, 2026

    See how you can create an invoice assistant in #GoogleWorkspaceStudio using #Gemini. https://t.co/rE2ATqIF6D

    112305.0K viewsView on X
  • Jan 21, 2026

    Calling the #VertexAI API from an #AppsScript project just got easier! Check out this video to see how you can use the newest Apps Script advanced service šŸ‘‡ https://t.co/O5zmlRU36T

    122202.7K 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

#appsscript#gemini

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 14 interactions against 321K followers, an engagement rate of 0.004%. Posts are seen about 4.6K times each, and 0.314% of those impressions turn into an interaction. That is about 1.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 100% link out. The account's strongest tracked post pulled 1.6K interactions, about 112x its own typical post. Recurring topics include #appsscript, #gemini. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Google Workspace Developers's engagement rate on X?
Google Workspace Developers (@workspacedevs) has an engagement rate of 0.004%, based on the median interactions across 6 original posts from the last 30 days against 321,205 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Google Workspace Developers sits above the 10th 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 @workspacedevs have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @workspacedevs post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.

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