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Vijay Shekhar Sharma engagement report

@vijayshekhar - 890K followers on X

Measured over 56 original posts from a 30-day window, last computed on August 29, 2026.

Engagement

Middle of its size range
Per follower
0.065%
of 890K followers
Per impression
1.16%
50K views on a typical post
Reach
5.63%
of its followers see a post
Typical post
578
interactions (median)
Saved
0.106%
52 bookmarks on a typical post
Posting rate
4.33/day
active 73% of days
Peak time
10:00 UTC
Friday

A typical post picks up 578 interactions against 890K followers, an engagement rate of 0.065%. Measured over 56 original posts, its engagement rate beats 65% of 3,882 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 50K times each, and 1.16% of those impressions turn into an interaction. That is about 5.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 56 posts sampled, 70% carry an image or video and 20% link out. The account's strongest tracked post pulled 14K interactions, about 24x its own typical post. Recurring topics include #paytmkaro, #aibull, #arnabandtukarammundhe.

Measured over 56 original posts from a 30-day window, last computed on August 29, 2026. Recurring tags: #paytmkaro, #aibull, #arnabandtukarammundhe.

Compared with accounts its own size

Vijay Shekhar Sharma's engagement rate beats 65% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 9 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 55% 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 0.065%, Vijay Shekhar Sharma sits above the 25th percentile of the 37,582 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%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 10:00 UTC, and Friday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 10:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 25, 202624x their median

    On this auspicious day of Ashada Ekadashi, I am very happy to announce the launch of my humble attempt to make history interesting. https://t.co/SGfD2ebBpO The idea is actually very very simple You go to the site, select a year, and It will show you who ruled which part of India at that point in time.

    11K2.7K407186674K viewsView on X
  • Aug 21, 202622x their median

    Make more in India! 🇮🇳 https://t.co/r5N3P5B8ty

    10.0K2.2K4721551.1M viewsView on X
  • Aug 21, 202612x their median

    Today, we’re launching Meteoric (YC S26). Our drones clear clouds over solar farms to increase their annual output by 10-30% without using any chemicals. Ultimate target: weaken severe storms and hurricanes. https://t.co/Vt1ZGbMith https://t.co/ISjbavdeDD

    5.7K3676613821.2M viewsView on X
  • Aug 21, 20269.7x their median

    🚨 Ahmedabad (AMC) orders 11,123 restaurants and food businesses to install CCTV cameras in kitchens and live-stream the footage on screens visible to customers. No more hiding dirty kitchens ! https://t.co/za07Z8bFru

    4.6K74293115269K viewsView on X
  • Aug 17, 20269.6x their median

    🇮🇳 HISTORIC MILESTONE FOR INDIA: India now has more power generation capacity from clean energy than from fossil fuels For the first time in History https://t.co/XF9WJeYPBR

    4.4K9955493239K viewsView on X
  • Aug 16, 20268.6x their median

    New ban officially comes into force in all UK nail salons https://t.co/iFKY96iDxZ

    3.7K804723668.0M viewsView on X
  • Aug 14, 20267.2x their median

    JUST IN: Indian startup trains dogs to sniff out cancer from human breath, with AI analyzing their reactions — reporting ~90% sensitivity in early-stage cancers.

    3.8K23711865301K viewsView on X
  • Aug 21, 20266.1x their median

    I ran this thing through 10 tasks on DeepSWE (so there could be a ton of variance in it's real score, this is a subset), but uh... gpt-5.6-sol: 52% fable: 65% whatever the hell this is: 80% (was a near miss on the "x"s so actually over 80%) I am very confused https://t.co/NdDSTjoHLj

    3.7K147202121817K viewsView on X
  • Aug 25, 20265.4x their median

    Proud builder of India’s payment revolution #UPIPayments #PayTMKaro https://t.co/B6HpaDxzKA

    2.9K191521251K viewsView on X
  • Aug 17, 20265.3x their median

    Which city will you choose? Note: - The X and Y axes are percentile, not percent. - Hyd & Mum are 100th percentile for QoL & CoL. - QoL takes into account work opportunities, healthcare quality, also. Not based only on infra or cleanliness. - Your individual perception can vary. https://t.co/Gm02KS4lB7

    2.3K233380133357K 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

#paytmkaro#aibull#arnabandtukarammundhe#arnabgoswami#creative

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 578 interactions against 890K followers, an engagement rate of 0.065%. Measured over 56 original posts, its engagement rate beats 65% of 3,882 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 50K times each, and 1.16% of those impressions turn into an interaction. That is about 5.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 56 posts sampled, 70% carry an image or video and 20% link out. The account's strongest tracked post pulled 14K interactions, about 24x its own typical post. Recurring topics include #paytmkaro, #aibull, #arnabandtukarammundhe.

What is Vijay Shekhar Sharma's engagement rate on X?
Vijay Shekhar Sharma (@vijayshekhar) has an engagement rate of 0.065%, based on the median interactions across 56 original posts from the last 30 days against 890,225 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.065%, Vijay Shekhar Sharma sits above the 25th percentile of the 37,582 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 @vijayshekhar have real engagement?
Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (3,882 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 @vijayshekhar post?
Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 4.33 posts per day across the measured window.

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