ʀ¡ᴄᴋʏ engagement report
@guylikericky - 93K followers on X
Measured over 37 original posts from a 30-day window, last computed on August 26, 2026.
Engagement
A typical post picks up 16 interactions against 93K followers, an engagement rate of 0.017%. Measured over 37 original posts, its engagement rate beats 24% of 3,882 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.809% of those impressions turn into an interaction. That is about 2.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 37 posts sampled, 30% carry an image or video, 5% are part of a thread and 5% link out. The account's strongest tracked post pulled 187K interactions, about 11690x its own typical post.
Measured over 37 original posts from a 30-day window, last computed on August 26, 2026.
Compared with accounts its own size
ʀ¡ᴄᴋʏ's engagement rate beats 24% of the tracked X accounts closest to it in follower count (3,882 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 39% 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%, ʀ¡ᴄᴋʏ sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 158.1% |
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 14:00 UTC, and Monday 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% | 52K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 51K |
| 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% | 62K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 74K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 89K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -4% | 101K |
| 15:00 UTC | -2% | 104K |
| 16:00 UTC | -3% | 102K |
| 17:00 UTC | -3% | 94K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 68K |
| 22:00 UTC | -2% | 59K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 237K |
| Monday | 0% | 300K |
| Tuesday | -3% | 299K |
| Wednesday | -1% | 256K |
| Thursday | -1% | 249K |
| Friday | -3% | 258K |
| Saturday | +3% | 232K |
Best tweets
- Aug 24, 202611690x their median
all the food is poisoned, they’re saying the only safe thing to eat is my pussy
- Aug 18, 20263571x their median
Depth-aware light injection in TypeGPU I got a 448x448 monocular depth model down to ~8 ms on my M4 Pro across ~250 dispatches, which is fast enough to use in realtime :D Since the inference is written directly in TypeGPU, I can just feed the depth buffer straight into the lighting pass. It never has to leave the GPU or go through any extra synchronization/interop step Inference, lighting and draw all go through the same command encoder.
- Aug 16, 2026974x their median
18 years ago today, Usain Bolt jogged almost to an Olympic record, then cruised to a new world record two hours later https://t.co/F9xWE10gZp
- Aug 24, 2026238x their median
Ni mimi naishi Kenya tofauti ama nimezeeka. Can a Gen Z tell me what Kenyans are doing in a Japanese concert ?
- Aug 21, 2026173x their median
Men's Pole Vault Outdoor All-time List 🇸🇪 Armand Duplantis – 6.30m 🇬🇷 Emmanouil Karalis – 6.16m 🆕 🇺🇦 Sergey Bubka – 6.14m 🇺🇸KC Lightfoot – 6.07m 🇺🇸 Sam Kendricks – 6.06m 🇷🇺 Maxim Tarasov – 6.05m 🇦🇺 Dmitri Markov – 6.05m 🇫🇷 Renaud Lavillenie – 6.05m https://t.co/Mo9pZg1m2V
- Aug 24, 2026172x their median
Counterfeit department wakifikia white cap wametumaliza
- Aug 16, 202695x their median
Give MP Homabaystan George Kaluma a Yemeni name. https://t.co/GgRvjv9ZvU
- Aug 15, 202693x their median
I’m on a table with a girl who is 19 and her boyfriend is 40. 😭 https://t.co/Z7ulEb8AcP
- Aug 16, 202659x their median
Khalif Kairo dropped his iPhone 15 Pro Max in Lake Victoria went for iPhone 17 Pro cosmic orange and he is using it without case >>>>
- Aug 20, 202651x their median
Reputation huwa the biggest ASSEST. https://t.co/GX4V3ixNVw
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 16 interactions against 93K followers, an engagement rate of 0.017%. Measured over 37 original posts, its engagement rate beats 24% of 3,882 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.809% of those impressions turn into an interaction. That is about 2.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 37 posts sampled, 30% carry an image or video, 5% are part of a thread and 5% link out. The account's strongest tracked post pulled 187K interactions, about 11690x its own typical post.
- What is ʀ¡ᴄᴋʏ's engagement rate on X?
- ʀ¡ᴄᴋʏ (@guylikericky) has an engagement rate of 0.017%, based on the median interactions across 37 original posts from the last 30 days against 92,597 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.017%, ʀ¡ᴄᴋʏ sits above the 25th percentile of the 37,582 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 @guylikericky have real engagement?
- Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (3,882 accounts), which puts it in the bottom quarter for its size 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 @guylikericky post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 2.43 posts per day across the measured window.