taitai go gaigai 🦷 engagement report
@dyradyre - 63K followers on X
Measured over 14 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
A typical post picks up 100 interactions against 63K followers, an engagement rate of 0.159%. Measured over 14 original posts, its engagement rate beats 54% of 20,445 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 13K times each, and 0.761% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 36% carry an image or video, 14% are part of a thread and 14% link out. The account's strongest tracked post pulled 36K interactions, about 364x its own typical post.
Measured over 14 original posts from a 30-day window, last computed on September 26, 2026.
Compared with accounts its own size
taitai go gaigai 🦷's engagement rate beats 54% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 30% 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 0.159%, taitai go gaigai 🦷 sits above the 50th percentile of the 205,152 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 07:00 UTC, and Wednesday 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 | 36% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 36% 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.
- 14% 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 293 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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
- Sep 8, 2026364x their median
when you finally surrender, and accept that it is what it is. https://t.co/AhyRtqhPQ7
- Sep 10, 202621x their median
Some have to work so hard … some just sakau ! https://t.co/bYBwTt0pFt
- Sep 9, 202612x their median
Had a slice of orange cake for RM12+ drink for RM16. Total with tax= RM29. Thing is, something isn't right when a basic mediocre slice of cake costs RM12. I'm not an economist, but is our rent too high? Ingredients too costly? Labour memang takla coz we all earn peanuts here.
- Sep 9, 20268.9x their median
TERKINI CLAN Malaysia menyokong pendedahan YB Rafizi Ramli mengenai Skandal FELDA bernilai RM 14.4 Bilion yang didedahkan dalam Podcast Yang Berhenti Menteri dan mendesak agar Kerajaan menyiasat dengan teliti dan telus skandal ini kerana ia melibatkan duit rakyat https://t.co/efe3EGf3wr
- Sep 9, 20264.7x their median
Seorang wanita Malaysia ditahan di Lapangan Terbang Antarabangsa Indira Gandhi (IGI), New Delhi selepas dikesan membawa lebih 15 kilogram (kg) ganja bernilai 52.5 juta rupee (RM2.24 juta), Jumaat lalu. Kastam Delhi dalam kenyataan memaklumkan, wanita berkenaan tiba di Terminal 3 lapangan terbang itu dari Kuala Lumpur sebelum dikenal pasti menerusi proses pemprofilan penumpang. https://t.co/T9dAkUP2d6
- Dec 5, 20223.3x their median
Bestnya until now dapat DM doa I bacakan masa umrah makbul. I’m happy for y’all. Kita usaha the rest we leave it to Him 🥰
- Sep 22, 2026
baru je tengok ada influencer post suami baik etc. tau tau harini cerai ain is real i guess idk. also spouses really have a way to humiliate their other half. tak kesah laki ke perempuan. kena ingat diorang ni manusia tak sempurna pegang tu je.
- Sep 21, 2026
Far worse than just having low, suboptimal levels of vitamin D is the fact that you have this dumpster fire inside of you that's causing inflammation and also sequestering your vitamin D. AKA visceral fat. You've got to target the real culprit before you see real improvement.
- Sep 23, 2026
Here’s a question from my latest Substack post. It's about obesity and obesity medicine and it should be rhetorical. Regrettably, it's not: Q. If you were going to study a disorder of excess fat accumulation (i.e., too much fat in fat cells) and the action of the drugs that so spectacularly treat it, wouldn’t you be at least vaguely interested in the physiological mechanisms that determine how much fat those fat cells will store? 1. Yes? 2. No? Common sense (and the history of obesity science) might suggest the answer has to be yes, but the expert authors of a recent Endocrine Society Scientific Statement on “Obesity science, research gaps, and opportunities in the new era of obesity medicines,” would claim otherwise. They put the brain at the center of obesity science and GLP-1 action, then omit (ignore?) a century of science suggesting that since it's the fat cells that get fatter in obesity, the direct neuroendocrine regulation of fat storage in those cells must be relevant. These expert authors include @kevinhallPhD and @danielJdrucker and a half dozen others, and we can assume they know more about obesity than anyone. They’re the experts. But if so, why do they ignore the fat cell itself when discussing why we accumulate excess fat in fat cells, and why GLP-1 drugs do such a remarkable job of reversing that process? What are they missing with their conviction that obesity is an "appetitive behavior" disorder? The Black Hole at the Galactic Core of Obesity and GLP-1 Drug Science https://t.co/MvNUYsgiYE
- Sep 10, 2026
Orang pakai tudung ada banyak sebab; sebab mak ayah suruh, sbb fashion, sbb malas nak buat rambut, sbb sekolah, sbb jual makanan dll Tapi jadi lah kita org yg menutup aurat sbb Allah. Sebab tu ilmu dan amalan kena seiring. Tingkatkan ilmu supaya tahu dan selalu diingatkan ttg—
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 100 interactions against 63K followers, an engagement rate of 0.159%. Measured over 14 original posts, its engagement rate beats 54% of 20,445 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 13K times each, and 0.761% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 14 posts sampled, 36% carry an image or video, 14% are part of a thread and 14% link out. The account's strongest tracked post pulled 36K interactions, about 364x its own typical post.
- What is taitai go gaigai 🦷's engagement rate on X?
- taitai go gaigai 🦷 (@dyradyre) has an engagement rate of 0.159%, based on the median interactions across 14 original posts from the last 30 days against 62,736 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.159%, taitai go gaigai 🦷 sits above the 50th percentile of the 205,152 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 @dyradyre have real engagement?
- Its engagement rate beats 54% of the tracked X accounts closest to it in follower count (20,445 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 @dyradyre post?
- Most posts go out around 07:00 UTC, and Wednesday is its busiest day, at roughly 2.27 posts per day across the measured window.