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Aakash Kanojiya engagement report

@Kanojiyaaakash1 - 40K followers on X

Measured over 12 original posts from a 30-day window, last computed on November 7, 2026.

Engagement

Middle of its size range
Per follower
0.684%
of 40K followers
Per impression
0.512%
54K views on a typical post
Reach
133.5%
of its followers see a post
Typical post
275
interactions (median)
Saved
0.172%
92 bookmarks on a typical post
Posting rate
1.87/day
active 43% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 275 interactions against 40K followers, an engagement rate of 0.684%. Measured over 12 original posts, its engagement rate beats 68% of 24,309 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 54K times each, and 0.512% of those impressions turn into an interaction. That is about 133.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 100% carry an image or video and 58% link out. The account's strongest tracked post pulled 569 interactions, about 2.1x its own typical post. Recurring topics include #capcutdidthat, #capcutweb, #capcutworld.

Measured over 12 original posts from a 30-day window, last computed on November 7, 2026. Recurring tags: #capcutdidthat, #capcutweb, #capcutworld.

Compared with accounts its own size

Aakash Kanojiya's engagement rate beats 68% of the tracked X accounts closest to it in follower count (24,309 accounts, accounts of similar size (decile 4 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 16% 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 0.684%, Aakash Kanojiya sits above the 50th percentile of the 243,810 accounts in this comparison. That places it in the above the median band, which runs 0.158% to 0.744%.

p100.004%
p250.027%
p50 (median)0.158%
p750.744%
p902.77%
p9982.4%
Engagement rate as a share of followers, across the 243,810 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 20,103 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 percentile0.027%
50th percentile0.158%
75th percentile0.744%
90th percentile2.77%
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 18:00 UTC, and Thursday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video100% of posts+111%+108% to +115%34K
Outbound link58% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 58% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 529 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

  • Nov 5, 20262.1x their median

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    450176042183K viewsView on X
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  • Oct 25, 2026

    K-pop fans know the struggle: saving every clip you love is easy. Turning them into one good fan edit? That takes time 😭 #CapCutWeb #KpopFanEdit https://t.co/CuL4vmXUJC

    2368621065K viewsView on X
  • Oct 26, 2026

    The ghost didn't come to scare you. It came for the product 👻 This Halloween plot twist could be the hook for your next product ad. #CapCutDidThat #CapCutWeb https://t.co/GSajPPquoL

    2753916159K viewsView on X
  • Oct 23, 2026

    Okay, CapCut’s Black Friday sale is live: Pro is 60% off and Ultra is 40% off, Oct 20–30, on Desktop only. Here’s how I’d use it to give a Halloween marketing video a cleaner sound mix. https://t.co/U6bEAth8UA #capcutpc #capcutsale https://t.co/cllP4HJMKf

    2603728076K viewsView on X
  • Oct 29, 2026

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    14416914288K viewsView on X
  • Oct 26, 2026

    🚨 This is getting INSANE. I gave @MiniMax_AI M3.1 Flash ONE prompt: "Build a fully functional 3D Interior Design Studio from scratch." No starter code. No templates. No manual setup. Just a single prompt. And I wasn't asking for a basic website. I wanted a REAL interactive 3D application. Here's what the challenge included: → Fully interactive 3D room with 360° camera controls → Drag-and-drop furniture placement → Real-time wall and floor customization → Multiple furniture styles and materials → Realistic lighting, shadows, and reflections → Smooth animations and interactive controls → Modern, responsive design Think about what this actually requires. 3D rendering. State management. User interactions. Real-time updates. UI engineering. All working together in a browser. And MiniMax M3.1 Flash is built for demanding tasks like these. ⚡ 200+ tokens/sec generation speed ⚡ Advanced coding and software engineering ⚡ Multi-step agentic workflows ⚡ 70% lower agentic task costs than its predecessor We're moving from asking AI to write code to asking AI to build entire products. One prompt. One ambitious idea. MiniMax M3.1 Flash is now open-weight, so you can explore the weights and start building with it yourself!

    1885316058K viewsView on X
  • Nov 6, 2026

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    1785713049K viewsView on X
  • Oct 30, 2026

    Not every product needs a new photoshoot to get a fresh campaign look. CapCut PC’s Black Friday sale is almost over: 60% off Pro and 40% off Ultra through October 30. If you're a small business owner trying to create seasonal content on a tight schedule, showing one product across several Halloween scenes is a smart creative direction. Batch Editing can speed up repetitive editing tasks, and I can still refine the individual clips and transitions before publishing. https://t.co/U2QbGme88E #capcutpc #capcutmarketing #capcutblackfriday #capcutsale

    1184411021K viewsView on X
  • Oct 28, 2026

    🎃 Give your product launch a Halloween twist: Save up to 60% on CapCut Pro or 40% on Ultra and try Dreamina for $0.29. Oct 20–30 (Desktop only)! Carve a pumpkin, lift its lid, and discover your new product inside. Want to turn that idea into an ad? Bring it to life with Dreamina + CapCut PC. Generate the scene in Dreamina and import it into CapCut PC’s multi-track timeline. If the clip stops while the lid is still blocking the view, use AI Extend to continue the lifting action until the product is visible. Include a subject reference to support consistency. Complete the reveal your audience is waiting for in CapCut PC. Dreamina: https://t.co/aah2Kiil1u CapCut PC: https://t.co/U2QbGme88E #CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale

    15197029K 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

#capcutdidthat#capcutweb#capcutworld#ad#capcutblackfriday

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 275 interactions against 40K followers, an engagement rate of 0.684%. Measured over 12 original posts, its engagement rate beats 68% of 24,309 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 54K times each, and 0.512% of those impressions turn into an interaction. That is about 133.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 100% carry an image or video and 58% link out. The account's strongest tracked post pulled 569 interactions, about 2.1x its own typical post. Recurring topics include #capcutdidthat, #capcutweb, #capcutworld.

What is Aakash Kanojiya's engagement rate on X?
Aakash Kanojiya (@Kanojiyaaakash1) has an engagement rate of 0.684%, based on the median interactions across 12 original posts from the last 30 days against 40,213 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.684%, Aakash Kanojiya sits above the 50th percentile of the 243,810 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 @Kanojiyaaakash1 have real engagement?
Its engagement rate beats 68% of the tracked X accounts closest to it in follower count (24,309 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 @Kanojiyaaakash1 post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 1.87 posts per day across the measured window.

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