Back to @java's profile

Java engagement report

@java - 576K followers on X

Measured over 23 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Middle of its size range
Per follower
0.028%
of 576K followers
Per impression
0.834%
20K views on a typical post
Reach
3.39%
of its followers see a post
Typical post
163
interactions (median)
Saved
0.128%
25 bookmarks on a typical post
Posting rate
0.77/day
active 77% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 163 interactions against 576K followers, an engagement rate of 0.028%. Measured over 23 original posts, its engagement rate beats 49% 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 20K times each, and 0.834% of those impressions turn into an interaction. That is about 3.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 87% carry an image or video and 83% link out. The account's strongest tracked post pulled 2.0K interactions, about 12x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on August 26, 2026.

Compared with accounts its own size

Java's engagement rate beats 49% of the tracked X accounts closest to it in follower count (3,739 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 47% 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 0.028%, Java 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 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 6%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%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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
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

  • Mar 17, 202612x their median

    Java 26 is now available! #Java26 #JDK26 #OpenJDK ☕ Download Now: https://t.co/lqlbCieN8g ☕ Release notes: https://t.co/uC8jkyPhdS ☕ API Javadoc: https://t.co/d3jvIGDDV4 ☕ Features: https://t.co/bfMXeOEDqD ☕ Inside Java on JDK 26: https://t.co/P0ZzFoJsxk https://t.co/9OCRf4dkRu

    1.4K5395147131K viewsView on X
  • Aug 21, 20261.7x their median

    It's time to revisit Java Records. 📔 This tutorial highlights how records help group related immutable data into a single object—improving readability and maintainability compared to managing multiple independent variables. If you haven't adopted records yet, they're one of the simplest ways to write cleaner, more expressive Java. Learn more: https://t.co/QoBrioTLlP

    246323222K viewsView on X
  • Aug 15, 20261.6x their median

    Oracle Java Platform Extension for Visual Studio Code version 26.0.1 is now live on Visual Studio Code Marketplace! https://t.co/sJSsLctgAk

    227314121K viewsView on X
  • Aug 18, 20261.5x their median

    This master's thesis investigates the overhead of weak reference processing in generational ZGC and whether it could be reduced with targeted modifications to the pipeline—or avoided altogether through a different representation of weak semantics. See the results: https://t.co/YLcUYcXon6

    223240020K viewsView on X
  • Aug 10, 20261.5x their median

    What is a HashTable? @JosePaumard is here to hash it out. https://t.co/1RpJnD4iue

    217226020K viewsView on X
  • Aug 4, 2026

    Want to master searching and sorting algorithms in Java? This comprehensive course teaches you how to efficiently search for data and organize arrays using some of the most important algorithms in computer science. Whether you're learning Java for the first time or preparing for exams, this course will help you understand how these algorithms work and how to trace their execution step-by-step. https://t.co/1qanhh3OcE

    203325121K viewsView on X
  • Aug 12, 2026

    Want to allow users to interface with the program and allow them to enter values? We show you how to use the IO class to accept input into the program. https://t.co/SJWNg8Ufy5 https://t.co/onMKQci6Do

    193254420K viewsView on X
  • Aug 22, 2026

    Spring AI 2.0 released in June and is one of several projects ensuring Java's continued strength in enterprise AI development. Listen to this episode of the Inside Java Podcast with Dan Vega for some tips on deterministic agents, MCP servers and skills, prompt engineering, and where Java's richness for AI solutions stems from. https://t.co/oKJV4VcEyn

    188237119K viewsView on X
  • Aug 5, 2026

    Get your Java ready! @JosePaumard is back to break down what an intermediate Collector is. https://t.co/sxEl8kAosp

    186223120K viewsView on X
  • Aug 19, 2026

    Get ready to consume this Java Coding Tip with @JosePaumard! Today’s question: What is a Consumer? https://t.co/tAN7UzIdcC

    184171117K 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.

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 163 interactions against 576K followers, an engagement rate of 0.028%. Measured over 23 original posts, its engagement rate beats 49% 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 20K times each, and 0.834% of those impressions turn into an interaction. That is about 3.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 87% carry an image or video and 83% link out. The account's strongest tracked post pulled 2.0K interactions, about 12x its own typical post.

What is Java's engagement rate on X?
Java (@java) has an engagement rate of 0.028%, based on the median interactions across 23 original posts from the last 30 days against 575,658 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.028%, Java 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 @java have real engagement?
Its engagement rate beats 49% 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 @java post?
Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 0.77 posts per day across the measured window.

Keep going