Back to @github's profile

GitHub engagement report

@github - 2.7M followers on X

Measured over 42 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 2.7M followers
Per impression
0.39%
93K views on a typical post
Reach
3.42%
of its followers see a post
Typical post
360
interactions (median)
Saved
0.057%
52 bookmarks on a typical post
Posting rate
2.63/day
active 83% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 360 interactions against 2.7M followers, an engagement rate of 0.013%. Measured over 42 original posts, its engagement rate beats 51% of 3,739 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 93K times each, and 0.39% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 42 posts sampled, 55% carry an image or video, 21% are part of a thread and 62% link out. The account's strongest tracked post pulled 8.9K interactions, about 25x its own typical post. Recurring topics include #githubuniverse, #js13k, #gamedev.

Measured over 42 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #githubuniverse, #js13k, #gamedev.

Compared with accounts its own size

GitHub's engagement rate beats 51% of the tracked X accounts closest to it in follower count (3,739 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 33% 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 0.013%, GitHub sits above the 25th percentile of the 36,134 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.431%
p902.11%
p99161.6%
Engagement rate as a share of followers, across the 36,134 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,713 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 percentile0.012%
50th percentile0.08%
75th percentile0.431%
90th percentile2.11%
99th percentile161.6%

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 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%50K
01:00 UTC-2%51K
02:00 UTC-4%49K
03:00 UTC-4%53K
04:00 UTC-6%42K
05:00 UTC-4%41K
06:00 UTC-4%47K
07:00 UTC-5%51K
08:00 UTC-4%60K
09:00 UTC-3%68K
10:00 UTC-2%71K
11:00 UTC-3%77K
12:00 UTC-2%85K
13:00 UTC-2%93K
14:00 UTC-3%96K
15:00 UTC-2%99K
16:00 UTC-3%96K
17:00 UTC-2%89K
18:00 UTC-2%83K
19:00 UTC-2%79K
20:00 UTC-1%73K
21:00 UTC-1%65K
22:00 UTC-1%57K
23:00 UTC-2%51K
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 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%228K
Monday0%281K
Tuesday-2%270K
Wednesday-1%249K
Thursday-2%242K
Friday-3%250K
Saturday+3%225K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 6, 202625x their median

    Build a plugin once and use it across compatible agent clients. Introducing Agent Plugins, an open standard developed with @awsdevelopers, @cursor_ai, @github, @code, and @vercel that packages Agent Skills and supports MCP server configurations in a shared format. https://t.co/JOQe4sc40N

    7.4K6893884332.5M viewsView on X
  • Aug 25, 20267.6x their median

    ๐Ÿง Linux turns 35 today. That seemed like a pretty good excuse to round up 35 of the best free and open source games you can play on Linux. Some classics. Some hidden gems. Some surprisingly ambitious projects. ๐ŸŽฎ๐Ÿ‘‡ https://t.co/ESmg08Llbh

    2.4K3103518123K viewsView on X
  • Aug 20, 20266.3x their median

    On August 17, GitHub experienced a significant outage that disrupted developers and organizations around the world. If you were trying to ship software that day, we let you down. I posted in March and April about the steps weโ€™re taking to make GitHub more reliable. The work is still underway. Here is an update: https://t.co/9KaQy7O4CG

    1.9K207861011.3M viewsView on X
  • Jul 31, 20264.7x their median

    The launch of Stacked PRs is one of the biggest releases in @github history, touching almost every service we run I wanted to share some details about how we built it and everything that went into it Strap in folks, this is gonna be a long one ๐Ÿงต

    1.5K1105435391K viewsView on X
  • Aug 6, 20264.4x their median

    ๐Ÿ“ฃ @Kimi_Moonshot's Kimi K3, an open-weight model, is now generally available and rolling out in GitHub Copilot. The model shows frontier-level abilities on agentic coding with highly cost-effective pricing. It is hosted by @FireworksAI_HQ. Learn more. ๐Ÿ‘‡ https://t.co/lI3GgiZJ5M

    1.3K12011841235K viewsView on X
  • Aug 14, 20264.2x their median

    AI coding agents can generate features fast, but can package them in one giant, hard-to-review pull request. ๐Ÿ˜ฌ Next time, try breaking the work into a stack of focused, ordered PRs. ๐Ÿงต

    1.3K929121225K viewsView on X
  • Aug 1, 20263.2x their median

    Large changes are hard to review. Smaller pull requests make them easier to ship. Stacked PRs are now on GitHub. https://t.co/gb5eO9DTDD https://t.co/qrBWa3BAcs

    996744938117K viewsView on X
  • Jul 30, 20263.1x their median

    Go forth and stack ๐Ÿฅž https://t.co/iddvQvT9Q1

    959497447144K viewsView on X
  • Jul 9, 20262.7x their median

    ๐Ÿ“ฃ @OpenAIDevs's GPT-5.6 family is now generally available and rolling out in GitHub Copilot. GPT-5.6 comes in three variants: โ˜€๏ธ GPT-5.6 Sol: the highest reasoning ceiling in the family. Best for complex reasoning over large codebases and demanding, long-running agentic work. ๐ŸŒŽ GPT-5.6 Terra: the balanced default. A strong all-round choice for everyday interactive and agentic coding. ๐ŸŒ• 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

    82089417386K viewsView on X
  • Aug 3, 20262.3x their median

    A recent Air release added support for custom agents through Agent Client Protocol. Hereโ€™s how to configure @GitHubCopilot as a custom agent in Air: https://t.co/wEG1mO78Of

    80515933.9M 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

#githubuniverse#js13k#gamedev#gamedevjs#gamejam

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.

Buy or sell X accounts - escrow-protected

PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 360 interactions against 2.7M followers, an engagement rate of 0.013%. Measured over 42 original posts, its engagement rate beats 51% of 3,739 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 93K times each, and 0.39% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 42 posts sampled, 55% carry an image or video, 21% are part of a thread and 62% link out. The account's strongest tracked post pulled 8.9K interactions, about 25x its own typical post. Recurring topics include #githubuniverse, #js13k, #gamedev.

What is GitHub's engagement rate on X?
GitHub (@github) has an engagement rate of 0.013%, based on the median interactions across 42 original posts from the last 30 days against 2,702,602 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, GitHub sits above the 25th percentile of the 36,134 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 @github have real engagement?
Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (3,739 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 @github post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 2.63 posts per day across the measured window.

Keep going