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maithun engagement report

@Being_Humor - 467K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Top 10% for its size
Per follower
0.488%
of 467K followers
Per impression
6.26%
36K views on a typical post
Reach
7.79%
of its followers see a post
Typical post
2.3K
interactions (median)
Saved
0.093%
34 bookmarks on a typical post
Posting rate
1.4/day
active 17% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 2.3K interactions against 467K followers, an engagement rate of 0.488%. Measured over 13 original posts, its engagement rate beats 92% of 20,444 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 36K times each, and 6.26% of those impressions turn into an interaction. That is about 7.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 13 posts sampled, 23% carry an image or video. The account's strongest tracked post pulled 40K interactions, about 17x its own typical post. Recurring topics include #indvsnz, #watch, #𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚.

Measured over 13 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #indvsnz, #watch, #𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚.

Compared with accounts its own size

maithun's engagement rate beats 92% 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 93% 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 0.488%, maithun sits above the 50th percentile of the 204,880 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video23% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 23% 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 378 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

  • Sep 20, 202617x their median

    साहिल वकोड़े IIT बॉम्बे के छात्र थे। परीक्षा चल रही थी। पूरा प्रश्नपत्र AI एप्प को अपलोड कर के उत्तर कॉपी में लिख रहे थे। प्रोफेसर ने पकड़ लिया। बाहर ले गए, डाँटा और कहा कि संस्थान के नियम स्पष्ट हैं आप चोरी करते पकड़े गए तो सस्पेंड किए जा सकते हो। साहिल ने बाद में आत्महत्या कर ली। माँ-बाप ने पोस्टमार्टम के बाद भी शव नहीं लिया क्योंकि उन्हें न्याय चाहिए। न्याय पाने के लिए उन्होंने मोदी एक्ट की धाराएँ लगवा दीं प्रोफेसर पर। एक लड़का आरक्षण से IIT पहुँचा। कम नंबर न आए, इसलिए चोरी कर रहा था। वह टॉपर बनना चाह रहा था। पर एक मनुवादी शिक्षक ने उसे कॉलेज के कानून बताए, सस्पेंड किया भी नहीं। उसने आत्महत्या कर ली। क्या एक दलित को फोन ले जाने अनुमति नहीं होनी चाहिए? क्या ऐतिहासिक प्रताड़ना के कारण उसको ओपन मोबाइल परीक्षा देने की अनुमति नहीं होनी चाहिए? आज एक ब्राइट स्टूडेंट, जो जेट इंजन बना सकता था AI से पूछ कर, हमारे बीच इसलिए नहीं रहा क्योंकि उससे पहले ही चरण में रोक लिया गया। मोदी एक्ट इसीलिए बना ही है। प्रोफेसर को फाँसी होनी चाहिए।

    30K9.2K770206609K viewsView on X
  • Oct 21, 20268.4x their median

    CJP Protest Summary 😹👇🏻 Protests - 2 Resignations - 1 Jailed - 3 Bail Bonds - 12 Unconditional Apologies - 49 They have now gone from “Gyanu, it’s done, bro” to “Sorry saar, apology saar.”😂 From “Jail Bharo” to “Bail Bharo.” 🤣 CJP, it’s done, bro!🥳

    16K3.1K10427159K viewsView on X
  • Oct 22, 20266.0x their median

    BJP has played Chanakya-level politics that has left even the RW confused. 🫪 Many RW influencers are facing FIRs filed against them by opposition-ruled states and are fearing arrest. BJP can’t fight these cases directly, so it filed FIRs against its own RW influencers in BJP-ruled states. That way, if the police from an opposition-ruled state come to arrest these influencers, they will already be in jail in a BJP-ruled state, and even the court will not allow the police from the opposition-ruled state to take them away. Jahan humari soch khatm hoti hai, wahan BJP ki soch shuru hoti hai. 🥹🙏🏻

    11K1.6K447144463K viewsView on X
  • Mar 9, 201616x their median

    I wonder how many people will have fallen in love with an AI chatbot by 2026.

    9.5K1.8K5261.1KView on X
  • Jun 16, 20189.9x their median

    Eid Mubaarak Everyone! Wish u all a year filled with love, happiness, good health and peace! ❤️✨🌙💫 https://t.co/5S85dqnWzy

    11K6081.3K406View on X
  • Sep 21, 20265.5x their median

    CJP is now supporting cheating in exams 😂😂😂😂😂😂😂

    11K1.4K731781K viewsView on X
  • Sep 5, 201313x their median

    Never celebrated my birthday. This is a day I do not take any calls or meet any person. I try to avoid programes: Narendra Modi

    6.2K3.8K6071.8KView on X
  • Oct 24, 20265.2x their median

    Saurav Das is fighting for voter deletion through SIR. Meanwhile, he himself couldn’t provide his parentage details to the High Court. Couldn’t show his proof of residence. Couldn’t show his marksheet or degree. The only people who know him are CJP leaders and a few Nepalis.

    9.5K2.3K631487K viewsView on X
  • May 10, 201810x their median

    Our govt has made SC/ST (Prevention of Atrocities) Act more stringent and increased the offences listed in the Act from 22 to 47 : PM Modi #BJP4InclusiveVikasa

    3.6K2.8K1.8K1.5KView on X
  • Sep 20, 20263.9x their median

    Why not create a SC/ST state? All schools, doctors, hospitals,....Will belong to them. No GC should be in any post there.

    7.6K1.0K23082287K 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

#indvsnz#watch#𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚

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 2.3K interactions against 467K followers, an engagement rate of 0.488%. Measured over 13 original posts, its engagement rate beats 92% of 20,444 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 36K times each, and 6.26% of those impressions turn into an interaction. That is about 7.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 13 posts sampled, 23% carry an image or video. The account's strongest tracked post pulled 40K interactions, about 17x its own typical post. Recurring topics include #indvsnz, #watch, #𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚.

What is maithun's engagement rate on X?
maithun (@Being_Humor) has an engagement rate of 0.488%, based on the median interactions across 13 original posts from the last 30 days against 466,622 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.488%, maithun sits above the 50th percentile of the 204,880 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 @Being_Humor have real engagement?
Its engagement rate beats 92% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top 10% 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 @Being_Humor post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 1.4 posts per day across the measured window.

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