kache engagement report
@yacineMTB - 413K followers on X
Measured over 73 original posts from a 30-day window, last computed on September 29, 2026.
Engagement
A typical post picks up 322 interactions against 413K followers, an engagement rate of 0.079%. Measured over 73 original posts, its engagement rate beats 67% 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 21K times each, and 1.54% of those impressions turn into an interaction. That is about 5.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 73 posts sampled, 38% carry an image or video and 19% are part of a thread. The account's strongest tracked post pulled 5.7K interactions, about 18x its own typical post.
Measured over 73 original posts from a 30-day window, last computed on September 29, 2026.
Compared with accounts its own size
kache's engagement rate beats 67% of the tracked X accounts closest to it in follower count (20,444 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 59% 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 0.079%, kache sits above the 25th percentile of the 205,152 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
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 22:00 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% | 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 | 38% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 4% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 38% 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.
- 4% 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 149 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
- Sep 28, 202618x their median
this book has made me millions of dollars https://t.co/rUGeWt5D55
- Sep 8, 202617x their median
The good ending to this is that they put OpenAI into a pissing contest. You know what would prove that they solved it themselves? Solving a few more millennium problems How hard could it possibly be, anyways
- Sep 10, 202613x their median
I love that deepseeks solution to their increased demand was to make their model cheaper and faster
- Sep 27, 202613x their median
I'm like 98% certain I am further ahead than everyone doing this. And I am doing this as a hobby on my free time as a dad with two under two https://t.co/YCzlqgAdCi
- Sep 27, 202611x their median
Dear x engineering team, I understand that Elon Musk is breathing down your neck at this very moment. I understand that you're extremely stressed out. The truth is that you should be. Your app is garbage. Spaces never f****** works. Computers literally code themselves. The data center that your boss owns has a AI inside of it. Literally lives in your boss's data center. It's free. It's actually free. Here's what you should do. I'm going to only say this once. Ask the AI to fix the bugs. Set up a for loop which runs every day that asks the AI to fix the bugs. Give the AI a literal f****** phone. Ask her to use the website. And tell it if it finds any bugs to fix them
- Sep 7, 20267.3x their median
I used GPT-6 Astra Ultra to track a tennis ball. The results are impressive until I tell you the following. Ball annotation, using 3 parallel agents took 8m 35s and 17,611 tokens. Complete workflow: 11m 49s and 30,481 tokens. The complete workflow also processed 313,914 uncached input tokens and 7,528,320 cached input tokens. That's a total of 7.87 million total, mostly context reused across frame-inspection calls.
- Sep 8, 20266.7x their median
Millennium problem only awards 1 million dollars??? That's like the biweekly stock bonus at OpenAI
- Sep 28, 20265.9x their median
Claim: we've solved the AI slop problem (!) 💩🧹✨ Blog post: https://t.co/mXuwYiy6rq 🧵1/5 Key idea: take *expert* human writing and learn rubrics that find the gap between experts and models. Train with those rubrics. We train with RL-XAR (RL with eXpert Aligned Rubrics) & see large performance gains on writing scientific paper sections, Pulitzer prize novel continuations and high quality Wikipedia pages.
- Sep 10, 20265.4x their median
I cannot believe how much work hasn't been automated
- Sep 8, 20265.2x their median
I know that OpenAI was first to solve it purely based on how buttmad everyone else involved seems
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 322 interactions against 413K followers, an engagement rate of 0.079%. Measured over 73 original posts, its engagement rate beats 67% 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 21K times each, and 1.54% of those impressions turn into an interaction. That is about 5.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 22:00 UTC, and Monday is the busiest day of the week. Of the 73 posts sampled, 38% carry an image or video and 19% are part of a thread. The account's strongest tracked post pulled 5.7K interactions, about 18x its own typical post.
- What is kache's engagement rate on X?
- kache (@yacineMTB) has an engagement rate of 0.079%, based on the median interactions across 73 original posts from the last 30 days against 412,880 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.079%, kache sits above the 25th 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 @yacineMTB have real engagement?
- Its engagement rate beats 67% 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 @yacineMTB post?
- Most posts go out around 22:00 UTC, and Monday is its busiest day, at roughly 6.43 posts per day across the measured window.