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kache engagement report

@yacineMTB - 396K followers on X

Measured over 24 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.043%
of 396K followers
Per impression
1.27%
13K views on a typical post
Reach
3.35%
of its followers see a post
Typical post
168
interactions (median)
Saved
0.159%
21 bookmarks on a typical post
Posting rate
2.03/day
active 10% of days
Peak time
19:00 UTC
Monday

A typical post picks up 168 interactions against 396K followers, an engagement rate of 0.043%. Measured over 24 original posts, its engagement rate beats 38% of 3,829 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 1.27% of those impressions turn into an interaction. That is about 3.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 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 Monday is the busiest day of the week. Of the 24 posts sampled, 42% carry an image or video and 33% are part of a thread. The account's strongest tracked post pulled 1.6K interactions, about 9.7x its own typical post.

Measured over 24 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

kache's engagement rate beats 38% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 6 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 49% 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 0.043%, kache sits above the 25th percentile of the 37,214 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.436%
p902.10%
p99160.2%
Engagement rate as a share of followers, across the 37,214 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,785 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.436%
90th percentile2.10%
99th percentile160.2%

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 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.

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 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 30, 20269.7x their median

    doctors are in the stone age. they can't make obvious inferences like "antihistamines might affect your ability to prevent infections" because it's not muh clinically validated stone age field more concerned with not being wrong than being right and helping

    1.5K451101166K viewsView on X
  • Aug 30, 20268.0x their median

    the models are a 100x productivity boost but yet.. they still need me. why?

    1.1K2319019327K viewsView on X
  • Aug 31, 20265.4x their median

    https://t.co/GzSxA3zFtC

    8801211120K viewsView on X
  • Aug 31, 20264.6x their median

    Cameras are actually just radars. Operating on a different frequency, that's pretty much the only difference

    6681091931K viewsView on X
  • Aug 31, 20264.6x their median

    Being a doctor is a non technical profession. Less technical than being a lawyer even

    68012651137K viewsView on X
  • Aug 31, 20264.1x their median

    I'll never be a 19 year old pothead again

    6231939631K viewsView on X
  • Aug 30, 20262.8x their median

    The reason I have never gotten in a car accident is because I am a bad driver. It gives me very good theory of mind for other bad drivers on the road so I avoid idiotic moves with a high degree of success

    431624214K viewsView on X
  • Aug 30, 20262.2x their median

    Trained in dingsim. And blue is the same policy but piloting a robot using HF's shipped mujoco simulator. Sim2sim transfer, trained in my Sota rigid body simulator. Trained in under 2 minutes on one 4090 Kneel https://t.co/OcwjeLsK6M

    339628222K viewsView on X
  • Aug 31, 20262.2x their median

    One of the first policies successfully trained with obstacles. Am I the first person to train models in RL with this many rigid bodies? https://t.co/ToLT5wBPJW

    325636224K viewsView on X
  • Aug 31, 20262.0x their median

    “ In less than 200 days after launch, ChatGPT Ads has reached $1 billion in annualized revenue run rate.” Much better than I expected tbh. https://t.co/lCvzYyhFEm

    297919636K 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 168 interactions against 396K followers, an engagement rate of 0.043%. Measured over 24 original posts, its engagement rate beats 38% of 3,829 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 1.27% of those impressions turn into an interaction. That is about 3.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 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 Monday is the busiest day of the week. Of the 24 posts sampled, 42% carry an image or video and 33% are part of a thread. The account's strongest tracked post pulled 1.6K interactions, about 9.7x its own typical post.

What is kache's engagement rate on X?
kache (@yacineMTB) has an engagement rate of 0.043%, based on the median interactions across 24 original posts from the last 30 days against 396,290 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.043%, kache sits above the 25th percentile of the 37,214 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 38% of the tracked X accounts closest to it in follower count (3,829 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 19:00 UTC, and Monday is its busiest day, at roughly 2.03 posts per day across the measured window.

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