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ProfNote engagement report

@profnote - 91K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Top quarter for its size
Per follower
0.97%
of 91K followers
Per impression
3.29%
26K views on a typical post
Reach
29.4%
of its followers see a post
Typical post
864
interactions (median)
Saved
0.366%
96 bookmarks on a typical post
Posting rate
2.33/day
active 80% of days
Peak time
03:00 UTC
Monday

A typical post picks up 864 interactions against 91K followers, an engagement rate of 0.97%. Measured over 10 original posts, its engagement rate beats 88% of 19,933 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 26K times each, and 3.29% of those impressions turn into an interaction. That is about 28.8% 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 almost every day in the window. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video and 20% are part of a thread. The account's strongest tracked post pulled 18K interactions, about 21x its own typical post. Recurring topics include #arknights, #アークナイツ, #loz.

Measured over 10 original posts from a 30-day window, last computed on September 25, 2026. Recurring tags: #arknights, #アークナイツ, #loz.

Compared with accounts its own size

ProfNote's engagement rate beats 88% of the tracked X accounts closest to it in follower count (19,933 accounts, accounts of similar size (decile 7 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 75% 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 0.97%, ProfNote sits above the 75th percentile of the 201,005 accounts in this comparison. That places it in the top 25% band, which runs 0.671% to 2.53%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,005 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 03:00 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video90% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 90% 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 51 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

  • Sep 7, 202621x their median

    Air Groove sensei (27yo) https://t.co/3StTs8sFwh

    17K1.4K2118173K viewsView on X
  • Sep 19, 202620x their median

    Pick your teacher https://t.co/NXh0i0Lu1U

    16K1.2K3923106K viewsView on X
  • Sep 16, 202617x their median

    Super Creek Sensei (26yo) https://t.co/L2MtLi9M2C

    14K1.2K2716114K viewsView on X
  • Aug 18, 202612x their median

    When our instructors at Krenz Artwork Academy practice from photo reference, they work in four different ways. 1. Straight extraction, normal proportions. Read the gesture, the shape characteristics, the height and build of the figure. Then get it down as it is. 2. Change the camera angle. Set up a space seen at eye level, turned 45 degrees, and draw a box with 2x2x4 proportions inside it. Rebuild the pose in that space, working from where the joints sit: shoulders, knees, the coordinates that hold the figure together. Turn the box and the figure inside turns with it. This is where perspective boxes do the work. 3. Same angle, different camera distance and focal length. A mid-range shot and a wide-angle shot give you two very different images. This one is harder to control. 4. Extract the gesture, change the proportions. Push it toward an American comics build, or toward chibi proportions. One and four are flat translation. Two and three are spatial thinking. They ask for different skills. Think about your own practice for a moment. If you only train flat thinking, copying goes fine, but the pose stops being editable the moment you work without reference. If you only train perspective, space, and boxed figures, your grasp of shape falls behind and the drawing comes out stiff. Both sides need the work. That is how a drawing ends up with correct perspective and rhythm at the same time.

    9.3K1.1K470591K viewsView on X
  • Sep 6, 20267.8x their median

    WIP (I'm back) https://t.co/qg4crAtp1f

    6.4K2784143K viewsView on X
  • Aug 13, 20266.6x their median

    mambo https://t.co/RZ24MZWtf9

    5.1K58910139K viewsView on X
  • Jan 9, 20262.1x their median

    ✨全ラインナップが解禁✨ 2026年2月4日発売予定 一番くじ 五等分の花嫁 ~一番くじ化5周年のお祝いも私たち全員で分かち合います!~ 【取扱店舗】 一番くじONLINE、一番くじ公式ショップ https://t.co/N80GBWQGLN #五等分の花嫁 https://t.co/BrQZTI0Brj

    1.5K284055110K viewsView on X
  • Sep 7, 20261.5x their median

    one more WIP https://t.co/C366JzHdL1

    1.3K40209.3K viewsView on X
  • Sep 16, 2026

    https://t.co/3DTqALPy8M

    38810113.0M viewsView on X
  • May 25, 2026

    my #OC https://t.co/aSDjEIzeKF

    275293019K 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.

Recurring topics

#arknights#アークナイツ#loz#キョーコの押収品#クレヨンしんちゃん

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 864 interactions against 91K followers, an engagement rate of 0.97%. Measured over 10 original posts, its engagement rate beats 88% of 19,933 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 26K times each, and 3.29% of those impressions turn into an interaction. That is about 28.8% 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 almost every day in the window. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 10 posts sampled, 90% carry an image or video and 20% are part of a thread. The account's strongest tracked post pulled 18K interactions, about 21x its own typical post. Recurring topics include #arknights, #アークナイツ, #loz.

What is ProfNote's engagement rate on X?
ProfNote (@profnote) has an engagement rate of 0.97%, based on the median interactions across 10 original posts from the last 30 days against 90,988 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.97%, ProfNote sits above the 75th percentile of the 201,005 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 @profnote have real engagement?
Its engagement rate beats 88% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the top 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 @profnote post?
Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 2.33 posts per day across the measured window.

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