Josh Long engagement report
@starbuxman - 86K followers on X
Measured over 21 original posts from a 30-day window, last computed on September 29, 2026.
Engagement
A typical post picks up 44 interactions against 86K followers, an engagement rate of 0.051%. Measured over 21 original posts, its engagement rate beats 40% of 21,185 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 5.6K times each, and 0.787% of those impressions turn into an interaction. That is about 6.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 07:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 33% carry an image or video and 62% link out. The account's strongest tracked post pulled 552 interactions, about 13x its own typical post. Recurring topics include #java, #intellijidea, #java27.
Measured over 21 original posts from a 30-day window, last computed on September 29, 2026. Recurring tags: #java, #intellijidea, #java27.
Compared with accounts its own size
Josh Long's engagement rate beats 40% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 34% 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 0.051%, Josh Long sits above the 25th percentile of the 212,567 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 82.7% |
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 07:00 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.
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 | 33% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 62% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 33% 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.
- 62% 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 218 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
- Aug 24, 202613x their median
Junie can now run entirely on your machine, and it’s completely free to use. One command: /local. We picked and optimized the whole stack around the model: agent harness, model parameters, and inference engine. No tokens, no quota, no code ever leaving your machine. https://t.co/QlQzQ3aK5D
- Dec 14, 20245.8x their median
😂 - 🍃🫘☕️ // cc @springrod #java #springBoot #SpringFramework #beans #cafe @java https://t.co/FZBvsd8tkA
- Aug 26, 20264.5x their median
GitHub Agentic Workflows. For all your code automation. https://t.co/58UruhqimM cc @github @GitHubCopilot https://t.co/YFfjL1UPux
- Sep 22, 20264.2x their median
Spring AI and TypeSafe Jev: Fast, Cheap, Structured Decisions https://t.co/dYWaNcWCxz
- Aug 20, 20264.0x their median
interesting post from RabbitMQ looking at RabbitMQ vs Apache Kafka (though we might be a bit biased lol) https://t.co/owbLcUSAdv
- Sep 18, 20263.3x their median
Huzzah! @Java 27 is on the Spring Initializr (and still not on SDKMAN, almost half a week after it became available) https://t.co/HiKhWeBLZl
- Sep 25, 20263.1x their median
have you upgraded to java 27 yet? you know what that means? we're 10 versions past java 17!
- Aug 18, 20262.7x their median
Best Spring Framework books for Java developers features @starbuxman @mkheck 1. Spring in Action - https://t.co/Nqhjbudypa 2. Grokking Spring Boot Interview https://t.co/sj8ux8YQPh 3. Spring Microservices - https://t.co/TZaMtBk3Hb 4. Spring Security in Action - https://t.co/96Q5t6mjB9 5. Spring Boot Up and Running - https://t.co/sbzqv5Hqky 6. Reactive Spring - https://t.co/ZKuER1Gg0d
- Sep 22, 20262.7x their median
AI slop leader, Shopify CEO, now horrified by what he wrought https://t.co/2sKnl6keWN
- Sep 22, 20262.6x their median
so often we get people in the chat asking about what they could do to learn java! well, the java team's got ya sorted! check out their new channel, https://t.co/nk6zNhm2Jn ! https://t.co/p7XVSRnYfO
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
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 44 interactions against 86K followers, an engagement rate of 0.051%. Measured over 21 original posts, its engagement rate beats 40% of 21,185 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 5.6K times each, and 0.787% of those impressions turn into an interaction. That is about 6.48% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 07:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 33% carry an image or video and 62% link out. The account's strongest tracked post pulled 552 interactions, about 13x its own typical post. Recurring topics include #java, #intellijidea, #java27.
- What is Josh Long's engagement rate on X?
- Josh Long (@starbuxman) has an engagement rate of 0.051%, based on the median interactions across 21 original posts from the last 30 days against 86,258 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.051%, Josh Long sits above the 25th percentile of the 212,567 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 @starbuxman have real engagement?
- Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (21,185 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 @starbuxman post?
- Most posts go out around 07:00 UTC, and Tuesday is its busiest day, at roughly 1.43 posts per day across the measured window.