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Josh Long engagement report

@starbuxman - 86K followers on X

Measured over 15 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.083%
of 86K followers
Per impression
1.56%
4.5K views on a typical post
Reach
5.28%
of its followers see a post
Typical post
71
interactions (median)
Saved
0.242%
11 bookmarks on a typical post
Posting rate
1.43/day
active 43% of days
Peak time
21:00 UTC
Tuesday

A typical post picks up 71 interactions against 86K followers, an engagement rate of 0.083%. Measured over 15 original posts, its engagement rate beats 29% of 3,863 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 4.5K times each, and 1.56% of those impressions turn into an interaction. That is about 5.28% 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 43% of days saw any activity at all. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 27% carry an image or video and 67% link out. The account's strongest tracked post pulled 527 interactions, about 7.4x its own typical post. Recurring topics include #java, #spring.

Measured over 15 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #java, #spring.

Compared with accounts its own size

Josh Long's engagement rate beats 29% of the tracked X accounts closest to it in follower count (3,863 accounts, accounts of similar size (decile 3 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 45% 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 0.083%, Josh Long sits above the 50th percentile of the 37,701 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.439%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 21:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 24, 20267.4x 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

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  • Dec 14, 20243.5x their median

    πŸ˜‚ - πŸƒπŸ«˜β˜•οΈ // cc @springrod #java #springBoot #SpringFramework #beans #cafe @java https://t.co/FZBvsd8tkA

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  • Aug 26, 20262.8x their median

    GitHub Agentic Workflows. For all your code automation. https://t.co/58UruhqimM cc @github @GitHubCopilot https://t.co/YFfjL1UPux

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  • Aug 20, 20262.5x their median

    interesting post from RabbitMQ looking at RabbitMQ vs Apache Kafka (though we might be a bit biased lol) https://t.co/owbLcUSAdv

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  • Aug 18, 20261.7x 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

    98155215K viewsView on X
  • Aug 27, 2026

    Spring Security 7 just leveled up big time πŸ”πŸš€ The Spring Authorization Server is now part of Spring Security itself, and it’s bringing serious upgrades: DPoP for replay-proof tokens and PAR for safer authorization requests. Join me for a conversation with Spring Security legend Joe Grandja. #SpringSecurity #OAuth #Java #Security https://t.co/l1LCOWeS58

    8913207.5K viewsView on X
  • Aug 23, 2026

    It's happening! Copies started shipping on Friday, and @therealdanvega just sent over proof that they’re arriving! Still waiting on my own copy to land, but seeing it in readers' hands is the absolute best feeling. Let me know when yours arrives! https://t.co/2PVujYXyGE

    7411714.5K viewsView on X
  • Aug 29, 2026

    I love https://t.co/9uIK8yQBNc and use it several times a week.

    6227036K viewsView on X
  • Aug 25, 2026

    🌱 This Week in Spring is packed: Spring AI, fresh Boot/Data/Cloud/AMQP/Batch releases, a great RabbitMQ vs Kafka comparison, and more. I’m hitting JavaZone, IntelliJ IDEA conf, KCDC, so I’ll be reading this on the plane. Catch the roundup here: https://t.co/2zVHXzi50Y #Spring #Java #SpringAI https://t.co/2zVHXzi50Y

    628104.1K viewsView on X
  • Aug 25, 2026

    that dispiriting moment when your bones start to make sounds and you realize your possible career as a ninja is over

    300603.2K 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

#java#spring

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 71 interactions against 86K followers, an engagement rate of 0.083%. Measured over 15 original posts, its engagement rate beats 29% of 3,863 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 4.5K times each, and 1.56% of those impressions turn into an interaction. That is about 5.28% 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 43% of days saw any activity at all. Most posts go out around 21:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 27% carry an image or video and 67% link out. The account's strongest tracked post pulled 527 interactions, about 7.4x its own typical post. Recurring topics include #java, #spring.

What is Josh Long's engagement rate on X?
Josh Long (@starbuxman) has an engagement rate of 0.083%, based on the median interactions across 15 original posts from the last 30 days against 85,906 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.083%, Josh Long sits above the 50th percentile of the 37,701 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 29% of the tracked X accounts closest to it in follower count (3,863 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 21:00 UTC, and Tuesday is its busiest day, at roughly 1.43 posts per day across the measured window.

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