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Madhavan Narayanan engagement report

@madversity - 227K followers on X

Measured over 41 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Bottom quarter for its size
Per follower
0.006%
of 227K followers
Per impression
0.476%
2.9K views on a typical post
Reach
1.29%
of its followers see a post
Typical post
14
interactions (median)
Saved
0.068%
2 bookmarks on a typical post
Posting rate
3.17/day
active 33% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 14 interactions against 227K followers, an engagement rate of 0.006%. Measured over 41 original posts, its engagement rate beats 19% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.9K times each, and 0.476% of those impressions turn into an interaction. That is about 1.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 41 posts sampled, 7% carry an image or video and 44% link out. The account's strongest tracked post pulled 1.2K interactions, about 84x its own typical post. Recurring topics include #ai, #tamil, #dreamfactory.

Measured over 41 original posts from a 30-day window, last computed on October 1, 2026. Recurring tags: #ai, #tamil, #dreamfactory.

Compared with accounts its own size

Madhavan Narayanan's engagement rate beats 19% of the tracked X accounts closest to it in follower count (20,183 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 25% 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 0.006%, Madhavan Narayanan sits above the 10th percentile of the 202,259 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video7% of posts+111%+108% to +115%34K
Outbound link44% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 7% 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.
  • 44% 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 223 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 5, 202684x their median

    MLA’s corruption rules are stricter than most corporate payment terms: 50% advance before signing papers. In this purported sting audio, MLA Pooja tells a reporter that her ‘one rule’ on any work order is a 50% commission, 50% before the project starts and 50% after, on a ₹31 lakh project for 200 solar streetlights and 20 water coolers. She reportedly insists the advance must reach her even before she signs the recommendation letter. Small businesses struggle to get a 10% advance from clients, but politicians are out here enforcing strict 50% upfront payment terms on bribes. Truly inspiring. A public servant with only one priority. Her commission. https://t.co/ZFvayABmiG

    809321241935K viewsView on X
  • Sep 30, 202679x their median

    The Election Commission does in India what the army does in Pakistan. Or so it seems.

    9131344948.2K viewsView on X
  • Sep 30, 202656x their median

    Satire must remain free. Standing with @MANJULtoons @satishacharya #FreedomOfExpression https://t.co/ojOYZ4MfmW

    5871889610K viewsView on X
  • Sep 30, 202632x their median

    #VenuSrinivasan is the Trojan Horse in the Tata Odyssey

    385451709.3K viewsView on X
  • Sep 7, 202620x their median

    Buildings will collapse. Hotels will burn Motorists will jump signals and drive on the wrong side of the road. Public examination question papers will leak. Sugar and onion prices will suddenly turn costlier Foreign investors will demand predictable consistency. But don't you worry. There's nothing that acronyms and acrimony can't fix. So you change food habits in Bengal, question dress choices in Kerala and deploy cops to shower petals on kawariyas. Mission Governance achieved

    1946217211K viewsView on X
  • Sep 7, 202614x their median

    Journalist of the week ----> @shubhangi_misra . What a tragedy that the so-called national newspapers and TV channels have not followed up on her investigation on tons of donations to dubious, shady political parties! This requires an RTI and follow-up. @AnjaliB_

    14643926.2K viewsView on X
  • Sep 28, 202614x their median

    For the benefit of those talking about Rs 81 lakh received by @IndianExpress from Congress ads. Here's something for @Cockroachisback to chew over: Central Government Advertising (2020–2026): According to RTI data from the Central Bureau of Communication (CBC) published in September 2026, the central government spent a total of ₹2,586 crore strictly on publicity featuring Prime Minister Narendra Modi and his flagship projects. Out of this, ₹936 crore was spent specifically on TV and radio advertisements. The CBC declined to name the individual media houses or channels that received this money, citing "commercial confidence".

    13552916.8K viewsView on X
  • Sep 9, 20267.6x their median

    If Indian voters also wanted tne 1980s look they would bring back the Congress 😭😕🙂

    78151035.3K viewsView on X
  • Sep 7, 20246.0x their median

    https://t.co/QezzoxGKFZ

    619131167K viewsView on X
  • Sep 28, 20264.5x their median

    Politics is a game about changing the rules of the game.

    538204.0K 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

#ai#tamil#dreamfactory#kamzygunaratnam#aibubble

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 14 interactions against 227K followers, an engagement rate of 0.006%. Measured over 41 original posts, its engagement rate beats 19% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.9K times each, and 0.476% of those impressions turn into an interaction. That is about 1.30% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 41 posts sampled, 7% carry an image or video and 44% link out. The account's strongest tracked post pulled 1.2K interactions, about 84x its own typical post. Recurring topics include #ai, #tamil, #dreamfactory.

What is Madhavan Narayanan's engagement rate on X?
Madhavan Narayanan (@madversity) has an engagement rate of 0.006%, based on the median interactions across 41 original posts from the last 30 days against 226,723 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Madhavan Narayanan sits above the 10th percentile of the 202,259 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 @madversity have real engagement?
Its engagement rate beats 19% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the bottom 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 @madversity post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 3.17 posts per day across the measured window.

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