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Visual Studio Code engagement report

@code - 819K followers on X

Measured over 37 original posts from a 30-day window, last computed on September 27, 2026.

Engagement

Middle of its size range
Per follower
0.033%
of 819K followers
Per impression
0.952%
28K views on a typical post
Reach
3.42%
of its followers see a post
Typical post
266
interactions (median)
Saved
0.168%
47 bookmarks on a typical post
Posting rate
2.1/day
active 70% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 266 interactions against 819K followers, an engagement rate of 0.033%. Measured over 37 original posts, its engagement rate beats 52% of 20,444 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 28K times each, and 0.952% of those impressions turn into an interaction. That is about 3.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 37 posts sampled, 68% carry an image or video and 76% link out. The account's strongest tracked post pulled 4.8K interactions, about 18x its own typical post. Recurring topics include #vscode, #storyofvscode, #coding.

Measured over 37 original posts from a 30-day window, last computed on September 27, 2026. Recurring tags: #vscode, #storyofvscode, #coding.

Compared with accounts its own size

Visual Studio Code's engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 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 46% 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 0.033%, Visual Studio Code sits above the 25th percentile of the 204,491 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 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video68% of posts+111%+108% to +115%34K
Outbound link76% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 68% 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.
  • 76% 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 210 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 5, 202618x their median

    Almost 6 years ago I made a VSCode Tinder extension called VSinder where you swiped on pictures of code Last weekend one of the couples that matched on it got married 🀯 https://t.co/4DB4ozpRZY

    4.5K1478646165K viewsView on X
  • Aug 17, 202614x their median

    πŸ’ͺ🏽 Control your Android & iOS apps directly in VS Code with Mobile Canvas extension! https://t.co/lITQWY4UAW

    3.2K4317450171K viewsView on X
  • Aug 6, 202614x their median

    πŸ“£ Kimi K3 is now available in GitHub Copilot for @code! Try Kimi Moonshot's latest open-weight model for agentic coding, now hosted by @FireworksAI_HQ. πŸ“– Learn more: https://t.co/gOZK1lRxMi https://t.co/Y5xnJNdajp

    3.2K351109361.6M viewsView on X
  • Aug 12, 202613x their median

    πŸ“‘ Editing markdown files just got so much better! #vscode #code #markdown https://t.co/66V2T757mc

    2.8K3805287359K viewsView on X
  • Sep 8, 20264.5x their median

    Stunning Icons in Seconds 😺 πŸ”— https://t.co/bO9B2QZduj https://t.co/k2T3FnIkjl

    1.1K7618469K viewsView on X
  • Aug 20, 20263.8x their median

    πŸ“£ GPT-5.6 Sol is 50% cheaper through September 3. β˜€οΈ A high reasoning ceiling for complex codebases and demanding, long-running agentic work. Give it a try in @code today! https://t.co/dJb368yXpR

    928522812160K viewsView on X
  • Sep 23, 20263.6x their median

    Visualize Data Structures in VS Code 🀯 If you work with data structures, check out the Debug Visualizer extension for VS Code. It lets you visualize your data while debugging so you can actually watch algorithms and data structures change as your code runs. In this example, see a linked list grow node by node and watch QuickSort move values into sorted order. A great tool for learning data structures, understanding algorithms, and debugging complex code. #VSCode #Programming #Coding #DataStructures #Developer

    83610418644K viewsView on X
  • Jul 31, 20263.5x their median

    πŸ“£ OpenAI just reduced the price of GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20%. Try both models in @code today. Happy coding! πŸ’™ https://t.co/4nJvaDP2W4

    8336923460K viewsView on X
  • Aug 19, 20263.1x their median

    πŸš€ The latest @code release makes it easier to work across multiple chats, navigate long conversations, and preview local HTML files. 🧡Here’s what’s new: https://t.co/CT0ua6yGDh

    7467017468K viewsView on X
  • Aug 12, 20263.0x their median

    πŸš€ The latest @code release brings more flexibility to Claude sessions and auto-reload for local HTML previews. 🧡 Here's what's new: https://t.co/86JAaRnuiF

    6877824178K 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

#vscode#storyofvscode#coding#developertips#prettier

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 266 interactions against 819K followers, an engagement rate of 0.033%. Measured over 37 original posts, its engagement rate beats 52% of 20,444 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 28K times each, and 0.952% of those impressions turn into an interaction. That is about 3.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 37 posts sampled, 68% carry an image or video and 76% link out. The account's strongest tracked post pulled 4.8K interactions, about 18x its own typical post. Recurring topics include #vscode, #storyofvscode, #coding.

What is Visual Studio Code's engagement rate on X?
Visual Studio Code (@code) has an engagement rate of 0.033%, based on the median interactions across 37 original posts from the last 30 days against 818,817 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.033%, Visual Studio Code sits above the 25th percentile of the 204,491 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 @code have real engagement?
Its engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 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 @code post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 2.1 posts per day across the measured window.

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