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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 95% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 39% 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
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- Sep 1, 202633x their median
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- Sep 2, 202617x their median
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- Sep 2, 20267.5x their median
https://t.co/eCw99xj3OM
- 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
- 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
- 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
- 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
- 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
- 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
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.