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GALACTA 💕 engagement report

@galacta02 - 406K followers on X

Measured over 1 original post from a 30-day window, last computed on September 29, 2026.

Engagement

Per follower
0.019%
of 406K followers
Per impression
0.096%
81K views on a typical post
Reach
20.1%
of its followers see a post
Typical post
78
interactions (median)
Saved
0.001%
1 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
19:00 UTC
Saturday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 78 interactions against 406K followers, an engagement rate of 0.019%. Posts are seen about 81K times each, and 0.096% of those impressions turn into an interaction. That is about 20.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 19:00 UTC, and Saturday is the busiest day of the week. The account's strongest tracked post pulled 44K interactions, about 570x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on September 29, 2026.

Where this sits in the catalog

At 0.019%, GALACTA 💕 sits above the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 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 19:00 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 0% 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 18 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

  • Feb 20, 2026570x their median

    หนุ่มมหาลัย‼️ เพิ่งกลับจากเที่ยวกลางคืน มาหากลางดึก พอเมาก็เล่าเรื่องเสียวให้ฟัง ว่าเคยไปทำว่าเคยไปทำอะไรมาบ้าง แต่ที่เด็ดสุดคือเคยเมาแล้วไปร่วมสวิงกับพี่ชาย คือสุดมาก ต้องสนิทกันแค่ไหนถึงจะทำต้องสนิทกันแค่ไหนถึงจะทำแบบนี้ได้ คุยกันไปสักพัก เราก็ลงไปถอดกางเกง ขนาดควยคือแบบกำลังดี ให้อมควยก็อม แถมอมเสียวเลยแหละ หลังจากที่เย็ดจนเสียวแล้วจนตัวเขาแตกแล้วยังอมให้เราจนแตกอีก คือฟิวแฟนมาก💦 ⸻ University guy‼️ He had just come back from a night out and came to see me late at night. Once he got drunk, he started telling me hot stories—what he had done before. The craziest part was that he once got drunk and joined a threesome with his older brother. That was wild—how close do you have to be to do something like that? After chatting for a while, we went down to take off our pants. His size was just right. I sucked him, and honestly, it felt really good. After we had sex until he climaxed, he still kept going and made me climax too. It felt just like being with a boyfriend. 💦 ⸻ 大学生の男の子‼️ 夜遊びから帰ったばかりで、深夜に会いに来た。 酔ってくると、今までにやったエッチな話をいろいろ語ってくれて、 中でも一番衝撃だったのは、酔った勢いで実の兄とスウィングに参加したことがあるって話。 そこまでできるなんて、どれだけ仲が良くないと無理なんだろうって思った。 しばらく話したあと、一緒にズボンを脱いだ。サイズはちょうどよくて、フェラも普通にして、しかもかなり気持ちよかった。 セックスで彼が先にイったあとも、さらに続いて、今度は私もイかせてくれた。 まるで恋人みたいな雰囲気だった。💦

    33K11K44162.0M viewsView on X
  • Mar 15, 20262.0x their median

    ไม่มาแล้วค่ะ #หาดใหญ่ จกตาเวอร์ ตอนอยู่กรุงเทพ มีแต่คนทักบอกให้มา จะเจอขอเจอถ้ามาเจอได้มั้ย พอมาจริงเปิดห้อง3คืนหายเงียบ แต่งหน้าทำผมรอ 0 นอนเหงา ให้หมอนติดรองพื้นเล่นเสียค่าปรับ🥹

    139312072K viewsView on X
  • Aug 7, 20261.8x their median

    อยากโดนคนใส่หน้ากากสไปเดอร์แมนเย็ด ตอนนี้หน้ากากมีแล้วขาดคน🕷️💦 ทักมาสิรอตอบ #บางแค

    138320172K viewsView on X
  • Apr 25, 20261.7x their median

    วันนี้อยากหาคนมาอยู่เป็นเพื่อน (ไม่ถ่ายคลิป) มาหาหน่อย 🫶🏻

    120580160K viewsView on X
  • May 18, 2026

    บางแค มาหาหน่อย

    95230156K viewsView on X
  • Aug 24, 2026

    안녕하세요, 서울과 부산행 항공권과 호텔을 예약했습니다. 친구들과의 만남이 있어서 사진을 먼저 보내주시는 분들께 우선적으로 답장드리겠습니다.

    8612060K viewsView on X
  • May 16, 2026

    ลาดพร้าวทักหน่อยจิ อยากเยส

    73250153K viewsView on X
  • Sep 12, 2026

    อารี มาหาหน่อยยยย💦

    7503081K viewsView on X
  • May 10, 2026

    อยู่เซ็นทรัลปิ่นเกล้า มาหาหน่อย

    73130150K viewsView on X
  • Aug 15, 2026

    รังสิตทัก🫶🏻

    66110144K 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.

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Reading these numbers

A typical post picks up 78 interactions against 406K followers, an engagement rate of 0.019%. Posts are seen about 81K times each, and 0.096% of those impressions turn into an interaction. That is about 20.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 19:00 UTC, and Saturday is the busiest day of the week. The account's strongest tracked post pulled 44K interactions, about 570x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is GALACTA 💕's engagement rate on X?
GALACTA 💕 (@galacta02) has an engagement rate of 0.019%, based on the median interactions across 1 original posts from the last 30 days against 405,556 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, GALACTA 💕 sits above the 10th percentile of the 204,956 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 @galacta02 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @galacta02 post?
Most posts go out around 19:00 UTC, and Saturday is its busiest day, at roughly 0.1 posts per day across the measured window.

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