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Laura Lux πŸ¦–πŸͺ engagement report

@darthlux - 932K followers on X

Measured over 38 original posts from a 30-day window, last computed on September 19, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 932K followers
Per impression
0.406%
39K views on a typical post
Reach
4.23%
of its followers see a post
Typical post
160
interactions (median)
Saved
0.005%
2 bookmarks on a typical post
Posting rate
2.8/day
active 87% of days
Peak time
00:00 UTC
Saturday

A typical post picks up 160 interactions against 932K followers, an engagement rate of 0.017%. Measured over 38 original posts, its engagement rate beats 43% of 15,519 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 39K times each, and 0.406% of those impressions turn into an interaction. That is about 4.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 00:00 UTC, and Saturday is the busiest day of the week. Of the 38 posts sampled, 21% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 58K interactions, about 363x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on September 19, 2026. Recurring tag: #bluejays50.

Compared with accounts its own size

Laura Lux πŸ¦–πŸͺ's engagement rate beats 43% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 10 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 28% 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 0.017%, Laura Lux πŸ¦–πŸͺ sits above the 10th percentile of the 156,396 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,396 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,062 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 00:00 UTC, and Saturday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video21% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 21% 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.
  • 0% 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 79 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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 1, 2026363x their median

    Vincent Pastore, best known for playing β€œBig P****” in "The Sopranos," has died at 80 πŸ’”πŸ•ŠοΈ https://t.co/LM6B4IAa8G https://t.co/M7c4Wl53rC

    51K4.3K8201.7K19M viewsView on X
  • Aug 20, 202684x their median

    OKAMOTO-SAN! Number 26! https://t.co/Zt4wSTudNj

    12K1.6K57119543K viewsView on X
  • Sep 3, 202670x their median

    its hot out πŸ₯΅ https://t.co/xtPgVgUZuu

    11K3103208258K viewsView on X
  • Jul 26, 202629x their median

    say hi if i can dm you πŸ₯Ή https://t.co/03JTFY1sB4

    4.3K1152232205K viewsView on X
  • Sep 7, 202627x their median

    yeehaw? https://t.co/b9ykTzfHqd

    3.9K141215251K viewsView on X
  • Aug 9, 202623x their median

    LUKES LAUNCHES πŸš€ We're back on top!!! https://t.co/QiKcga2fbs

    3.2K2765235169K viewsView on X
  • Aug 5, 202622x their median

    Another series win! #BlueJays50 FINAL: Blue Jays 5, Astros 4 https://t.co/CcaG2i2djX

    3.0K373885983K viewsView on X
  • Aug 15, 202620x their median

    Gimme a YEEHAW 🀠 https://t.co/oSEPNPamx4

    3.0K9390246K viewsView on X
  • Aug 15, 202619x their median

    #BlueJays win, 4-1. They rolled out their bullpen and a lineup that looked like a Spring Training bus trip in early March… and they took down Cam Schlittler and the Yankees. They’re 61-64.

    2.9K151381465K viewsView on X
  • Aug 15, 202619x their median

    All Systems GO πŸš€ https://t.co/xCsW35AqIJ

    2.8K2274323184K 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

#bluejays50

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 160 interactions against 932K followers, an engagement rate of 0.017%. Measured over 38 original posts, its engagement rate beats 43% of 15,519 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 39K times each, and 0.406% of those impressions turn into an interaction. That is about 4.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 00:00 UTC, and Saturday is the busiest day of the week. Of the 38 posts sampled, 21% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 58K interactions, about 363x its own typical post.

What is Laura Lux πŸ¦–πŸͺ's engagement rate on X?
Laura Lux πŸ¦–πŸͺ (@darthlux) has an engagement rate of 0.017%, based on the median interactions across 38 original posts from the last 30 days against 932,060 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Laura Lux πŸ¦–πŸͺ sits above the 10th percentile of the 156,396 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 @darthlux have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (15,519 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 @darthlux post?
Most posts go out around 00:00 UTC, and Saturday is its busiest day, at roughly 2.8 posts per day across the measured window.

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