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Sanjeev Sanyal engagement report

@sanjeevsanyal - 352K followers on X

Measured over 12 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Top quarter for its size
Per follower
0.272%
of 352K followers
Per impression
3.42%
28K views on a typical post
Reach
7.95%
of its followers see a post
Typical post
955
interactions (median)
Saved
0.165%
46 bookmarks on a typical post
Posting rate
2.1/day
active 27% of days
Peak time
11:00 UTC
Wednesday

A typical post picks up 955 interactions against 352K followers, an engagement rate of 0.272%. Measured over 12 original posts, its engagement rate beats 81% of 6,874 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 28K times each, and 3.42% of those impressions turn into an interaction. That is about 7.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 92% carry an image or video, 8% are part of a thread and 17% link out. The account's strongest tracked post pulled 8.2K interactions, about 8.5x its own typical post. Recurring topics include #breaking, #chilime, #cityexpress.

Measured over 12 original posts from a 30-day window, last computed on September 2, 2026. Recurring tags: #breaking, #chilime, #cityexpress.

Compared with accounts its own size

Sanjeev Sanyal's engagement rate beats 81% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 82% 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 0.272%, Sanjeev Sanyal sits above the 50th percentile of the 66,128 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 11:00 UTC, and Wednesday 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video92% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 92% 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.
  • 17% 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 279 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 2, 20268.5x their median

    A South Indian doctor on duty in Gonda UP enjoys Awadhi language. It has its own style. Own words. Her experience is remarkably funny. Do listen. https://t.co/Xt5sC2a5BV

    6.6K1.3K162103411K viewsView on X
  • Aug 28, 20266.4x their median

    On Narali Purima - when Indian sailors traditionally returned to the sea after the monsoons - visited the Ajanta painting that inspired INSV Kaundinya. https://t.co/5B6ZfqeEML

    5.5K61032554K viewsView on X
  • Aug 31, 20265.6x their median

    Real GDP during Q1 of FY 2026-27 has observed a growth rate of 7.8%. Nominal GDP has registered 10.3% growth during Q1 FY 2026-27. Indian Economy has sustained Growth Momentum despite Global Headwinds: Govt of India https://t.co/T12bwsGYT1

    4.2K894127135261K viewsView on X
  • Sep 2, 20264.6x their median

    Unnecessary controversy over GDP calculations. A response from my EAC collegue @kantisoumya https://t.co/IBulPBE3Da

    3.2K1.1K1033865K viewsView on X
  • Mar 20, 20264.1x their median

    The adaptation of my book “Revolutionaries” will be out on Amazon Prime in a few months. Here is a teaser: #PrimeVideoPresents #TheRevolutionariesOnPrime #ItStartsHere Production by #EmmayEntertainment Director: @nikkhiladvani Producers: @monishaadvani @madhubhojwani Key Cast: @Bhuvan_Bam #RohitSaraf @PratibhaRanta @gurfatehpirzada @TheRealJKShah Writers: (Screenplay) @WadhwanaAkshita, Rutvi Mehta, Shobit Narang, Sanyunktha Chawla Shaikh

    3.2K55910020244K viewsView on X
  • Aug 26, 20262.8x their median

    Paul Krugman wrote in 1998 that the internet's economic impact would be no greater than the fax machine's. You read that correctly. The man who won a Nobel Prize in 2008 and spent the following decade lecturing you about stimulus spending predicted that a technology reshaping every sector of human commerce was basically a novelty. This matters beyond the embarrassment. Krugman's error flowed directly from his methodology. Central planners and their academic allies consistently underestimate decentralized, emergent systems because those systems don't fit their models. Prices aggregate dispersed knowledge that no single mind holds. The internet turbo-charged exactly that process. By 2026, e-commerce alone exceeds $6 trillion annually in global sales. Amazon, founded in 1994, turned Krugman's fax-machine comparison into a punchline worth roughly $2 trillion in market capitalization. Voluntary exchange, entrepreneurial discovery, and the profit-loss system direct resources toward genuine human needs. Krugman kept writing columns. He championed the 2009 stimulus, called for even more spending, and watched inflation hit 9.1% in June 2022 while insisting it was transitory, while it very clearly wasn't. The internet prediction wasn't a one-off stumble. It revealed a man who trusts institutions over markets, models over reality, and his own prestige over the evidence.

    1.8K51722310593K viewsView on X
  • Aug 27, 2026

    Yesterday at The Revolutionaries launch event https://t.co/8mPbrsjpx5

    1.2K5117116K viewsView on X
  • Aug 29, 2026

    https://t.co/285b4QZ2x4

    577618112K viewsView on X
  • Aug 29, 2026

    Coverage of The Revolutionaries in today’s New Indian Express https://t.co/BLVMffGY09

    282306212K viewsView on X
  • Aug 27, 2026

    Speaking in Sambhajinagar today…. https://t.co/LSnnhL1kPa

    269179011K 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

#breaking#chilime#cityexpress#exclusive#indianarmy

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 955 interactions against 352K followers, an engagement rate of 0.272%. Measured over 12 original posts, its engagement rate beats 81% of 6,874 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 28K times each, and 3.42% of those impressions turn into an interaction. That is about 7.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 12 posts sampled, 92% carry an image or video, 8% are part of a thread and 17% link out. The account's strongest tracked post pulled 8.2K interactions, about 8.5x its own typical post. Recurring topics include #breaking, #chilime, #cityexpress.

What is Sanjeev Sanyal's engagement rate on X?
Sanjeev Sanyal (@sanjeevsanyal) has an engagement rate of 0.272%, based on the median interactions across 12 original posts from the last 30 days against 352,116 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.272%, Sanjeev Sanyal sits above the 50th percentile of the 66,128 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 @sanjeevsanyal have real engagement?
Its engagement rate beats 81% of the tracked X accounts closest to it in follower count (6,874 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 @sanjeevsanyal post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 2.1 posts per day across the measured window.

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