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Vlad Mihalcea engagement report

@vlad_mihalcea - 94K followers on X

Measured over 47 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 94K followers
Per impression
0.737%
3.1K views on a typical post
Reach
3.33%
of its followers see a post
Typical post
23
interactions (median)
Saved
0.353%
11 bookmarks on a typical post
Posting rate
1.87/day
active 63% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 23 interactions against 94K followers, an engagement rate of 0.025%. Measured over 47 original posts, its engagement rate beats 29% of 20,444 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 3.1K times each, and 0.737% 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 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 47 posts sampled, 30% carry an image or video and 81% link out. The account's strongest tracked post pulled 195 interactions, about 8.5x its own typical post. Recurring topics include #javazone, #vdz27.

Measured over 47 original posts from a 30-day window, last computed on September 19, 2026. Recurring tags: #javazone, #vdz27.

Compared with accounts its own size

Vlad Mihalcea's engagement rate beats 29% of the tracked X accounts closest to it in follower count (20,444 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 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 0.025%, Vlad Mihalcea sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 13:00 UTC, and Thursday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video30% of posts+111%+108% to +115%34K
Outbound link81% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 30% 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.
  • 81% 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 121 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

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 10, 20268.5x their median

    Pro tip: If the LLM generates code that you cannot understand, it means you need to upskill. Use AI to explain what was generated and provide more resources to help you keep up with the model. Being able to review the code that AI generates will become a mandatory requirement for software engineers.

    1592212210K viewsView on X
  • Aug 18, 20266.3x their median

    In 2026, Claude Code has reached the point where it can generate reasonable code. Lately, I have had to wear the Product Owner, Business Analyst, Software Architect, and QA Engineer hats, rather than the Software Developer or Platform Engineer ones.

    12641409.9K viewsView on X
  • Sep 6, 20265.1x their median

    If you have 45 minutes and want to learn some really cool performance improvements you can make to your Spring application, then check out this talk that Jos Roseboom gave at JavaZone. https://t.co/Lk6PtrFHR8 https://t.co/29kAEyzKDG

    9815326.1K viewsView on X
  • Aug 24, 20264.2x their median

    Claude Code tip: If you are using Claude Code and have lots of projects where you saved sessions, keep in mind that, by default, Claude will remove the ones you haven't used over the past 30 days. To prevent this issue, set the cleanupPeriodDays property in ~.claude/settings.json to a much higher value. Imagine the horror when I opened a project that I hadn't used in more than a month, only to see that my precious sessions were gone. šŸ˜€ Luckily, Windows had a backup of that folder, and I could recover some of them, but don't rely on that. Better to keep them for longer, especially if those are side projects.

    8110519.1K viewsView on X
  • Aug 24, 20263.4x their median

    How to detect the Hibernate N+1 query problem during testing https://t.co/pBh7baRUFP

    705305.0K viewsView on X
  • Aug 14, 20263.1x their median

    Never in my life have I been "absolutely right" so often as I've been told by AI in 2026

    624503.8K viewsView on X
  • Apr 14, 20263.0x their median

    🤩 10 months of video editing, 42 lessons, and 389 minutes of video material šŸš€ I'm proud of how my High-Performance Spring Persistence video course turned out. https://t.co/V8iptQnoM7 https://t.co/DwkLYVmWSl

    56101113K viewsView on X
  • Aug 21, 20262.6x their median

    Unit and integration tests protect your application against hallucinations whether those come from an AI agent or a human

    504513.3K viewsView on X
  • Sep 6, 20262.4x their median

    Vibe coding at the Oslo airport https://t.co/4kuur67cVZ

    530206.0K viewsView on X
  • Aug 18, 20262.3x their median

    14 High-Performance Java Persistence Tips https://t.co/XlOlbsrJLc

    493004.1K 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

#javazone#vdz27

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 23 interactions against 94K followers, an engagement rate of 0.025%. Measured over 47 original posts, its engagement rate beats 29% of 20,444 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 3.1K times each, and 0.737% 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 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 47 posts sampled, 30% carry an image or video and 81% link out. The account's strongest tracked post pulled 195 interactions, about 8.5x its own typical post. Recurring topics include #javazone, #vdz27.

What is Vlad Mihalcea's engagement rate on X?
Vlad Mihalcea (@vlad_mihalcea) has an engagement rate of 0.025%, based on the median interactions across 47 original posts from the last 30 days against 94,149 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, Vlad Mihalcea sits above the 25th percentile of the 205,048 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 @vlad_mihalcea have real engagement?
Its engagement rate beats 29% of the tracked X accounts closest to it in follower count (20,444 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 @vlad_mihalcea post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.87 posts per day across the measured window.

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