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GitHub Projects Community engagement report

@GithubProjects - 336K followers on X

Measured over 38 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 336K followers
Per impression
0.557%
11K views on a typical post
Reach
3.32%
of its followers see a post
Typical post
62
interactions (median)
Saved
0.453%
50 bookmarks on a typical post
Posting rate
2.13/day
active 20% of days
Peak time
10:00 UTC
Wednesday

A typical post picks up 62 interactions against 336K followers, an engagement rate of 0.018%. Measured over 38 original posts, its engagement rate beats 35% of 6,874 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 11K times each, and 0.557% of those impressions turn into an interaction. That is about 3.31% 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, though only 20% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 38 posts sampled, 95% carry an image or video, 45% are part of a thread and 39% link out. The account's strongest tracked post pulled 5.7K interactions, about 92x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on September 3, 2026.

Compared with accounts its own size

GitHub Projects Community's engagement rate beats 35% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 0.018%, GitHub Projects Community sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 link39% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 39% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 231 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 2, 202692x their median

    Name one underrated/generous free tier service. I’ll start: @Cloudflare

    4.8K167604110388K viewsView on X
  • Sep 1, 202633x their median

    BetterGI uses computer vision to automate repetitive tasks in Genshin Impact. - Auto-picks up items and skips dialogue - Handles fishing, cooking, and artifact grinding - Records keyboard and mouse actions for replay Explore it here: https://t.co/wxPne8pbw1 https://t.co/R98NIliQgn

    1.9K754737132K viewsView on X
  • Sep 2, 202617x their median

    OpenWhispr is a free, open-source app that turns your voice into text on your computer, and it can work entirely offline so your audio never leaves your device. Explore it here: https://t.co/mOGSUeXu16 https://t.co/lVPsQfvKdE

    9411037045K viewsView on X
  • Sep 2, 20267.5x their median

    https://t.co/eCw99xj3OM

    441207024K viewsView on X
  • Aug 31, 20266.7x their median

    Mitosis lets you build a component once and automatically turn it into working code for many different web frameworks, so you don't have to write the same thing multiple times. https://t.co/hI4TZrxd8y

    361465123K viewsView on X
  • Aug 31, 20264.9x their median

    Learn data science by building real projects over 10 weeks, with 20 guided lessons. - Free curriculum with quizzes and assignments - No prior experience needed to start - Created by Microsoft experts and students Explore it here: https://t.co/Ad3VIiVqMl https://t.co/oiqWQ84Bkk

    268362018K viewsView on X
  • Sep 2, 20263.7x their median

    50 tiny Python projects show everyday tasks you can automate or build yourself. - Each app fits in just 10 lines. - Video walkthroughs explain every project. - Covers AI, visuals, and simple utilities. https://t.co/4kZKv7uhXM

    212124014K viewsView on X
  • Aug 29, 20263.0x their median

    BlockAds is a free, open-source Android ad blocker that blocks ads, trackers, and malware system-wide using local VPN-based DNS filtering with no root required and no data collection. https://t.co/itdjPmiXwe

    159223174K viewsView on X
  • Aug 30, 20262.9x their median

    Project-based learning curated by language, from os kernels to game emulators Explore it here: https://t.co/XNBB9XaDes https://t.co/fVKGZ4yArc

    168120125K viewsView on X
  • Sep 2, 20262.5x their median

    OpenWrt replaces a device's fixed software with one you can fully reshape. - Works on many routers and embedded gadgets. - Lets you add or remove features like apps. - Built by a large open-source community. https://t.co/HrQpU13Vzk

    144121012K 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.

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Reading these numbers

A typical post picks up 62 interactions against 336K followers, an engagement rate of 0.018%. Measured over 38 original posts, its engagement rate beats 35% of 6,874 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 11K times each, and 0.557% of those impressions turn into an interaction. That is about 3.31% 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, though only 20% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 38 posts sampled, 95% carry an image or video, 45% are part of a thread and 39% link out. The account's strongest tracked post pulled 5.7K interactions, about 92x its own typical post.

What is GitHub Projects Community's engagement rate on X?
GitHub Projects Community (@GithubProjects) has an engagement rate of 0.018%, based on the median interactions across 38 original posts from the last 30 days against 336,189 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, GitHub Projects Community sits above the 25th 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 @GithubProjects have real engagement?
Its engagement rate beats 35% of the tracked X accounts closest to it in follower count (6,874 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 @GithubProjects post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 2.13 posts per day across the measured window.

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