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Nithin Kamath engagement report

@Nithin0dha - 1.1M followers on X

Measured over 14 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.068%
of 1.1M followers
Per impression
0.914%
79K views on a typical post
Reach
7.38%
of its followers see a post
Typical post
726
interactions (median)
Saved
0.217%
172 bookmarks on a typical post
Posting rate
0.73/day
active 47% of days
Peak time
12:00 UTC
Tuesday

A typical post picks up 726 interactions against 1.1M followers, an engagement rate of 0.068%. Measured over 14 original posts, its engagement rate beats 64% of 20,444 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 79K times each, and 0.914% of those impressions turn into an interaction. That is about 7.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video and 57% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 18x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Nithin Kamath's engagement rate beats 64% 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 45% 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 0.068%, Nithin Kamath sits above the 25th percentile of the 204,583 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 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 percentile0.677%
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 12:00 UTC, and Tuesday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video93% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 93% 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 819 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

  • Aug 15, 202618x their median

    16 Years back, today, when we started off.😬 https://t.co/6wBK9mGhPz

    13K29823548607K viewsView on X
  • Oct 6, 202616x their median

    Our youngest customer is just 28 days old. The parents opened a Zerodha minor account, and a week later, they made the first investment.

    11K311435224995K viewsView on X
  • Sep 16, 202615x their median

    I think MDR on UPI was probably inevitable at some point, especially given how widespread UPI adoption has become. It could also lead to more competition, instead of just three apps accounting for more than 95% of the market. That being said, there are some use cases, like investing and broking, where the proposed MDR structure doesn’t really make sense. The problem with broking is that there is no guarantee that money transferred to a broker will actually result in a transaction. As brokers, we can’t force a customer to trade after transferring money. And if we can’t pass the UPI charge on to the customer, there is essentially no limit to the cost a customer can impose on a broker without generating any revenue. Just as an example, 10,000 customers could each make 50 UPI transfers of ₹2 lakh in a month without executing a single trade. At the proposed MDR, this could potentially cost the broker around ₹2 crore, without generating any business. What makes this even more challenging is quarterly settlement (QS). This is a SEBI regulation that requires brokers to send unused funds back to clients every month or quarter. Most customers then transfer these funds back to their broking accounts, with more than half of these transfers happening through UPI. So regulation essentially forces this movement of money every month or quarter, and the broker could end up bearing the cost when the money comes back, without any incremental benefit or revenue. By the way, we currently don’t charge brokerage on equity delivery trades because the economics allow us to offer them for free. But if every UPI transfer starts carrying an additional cost, irrespective of whether the customer actually trades, I don’t see how we can absorb this indefinitely. I think having an MDR is okay. It still doesn’t solve the problem of customers transferring money without transacting, but something like 0.02% with a cap of ₹5 or ₹10 per transaction seems much more reasonable for broking, instead of a cap as high as ₹300.

    8.7K1.2K6512951.6M viewsView on X
  • Sep 15, 202614x their median

    Hmmm... 😬 https://t.co/vOFIwcwB2d

    8.5K930565276928K viewsView on X
  • Jun 17, 20267.9x their median

    And no emails or push notifications triggering you to trade anything. 😬 @BaluGorade https://t.co/TuyLEOmtGU

    9.1K31130945376K viewsView on X
  • Sep 5, 202610x their median

    For many years, people called Nikhil “Nithin.” But over the last 3–4 years, with the success of WTF, I’ve been called Nikhil exponentially more. Forget people just calling me Nikhil in person; I now get emails, LinkedIn messages, tweets, etc., addressed to Nikhil every day.😂​ This popularity was bound to happen. Right from when he was maybe 15 or 16, he was always the guy to go to for anything. He somehow always had connections, and the quality of those connections has only improved over time. ​For example, if I wanted to go out drinking, I’d ask him where to go, and he’d say, “Go to these places. There won’t be an entry fee, just tell the bouncer my name.” 😂​ But damn, I can’t believe he’s 40. For some reason, him turning 40 makes me feel so much older. 😬​ Happy 40th, @nikhilkamathcio. ❤️

    7.2K12312512219K viewsView on X
  • Oct 21, 20266.4x their median

    When Jio was getting ready to launch in 2015, I remember being petrified to find myself on this Economic Times list of 10 businessmen to watch in 2016. Mukesh Ambani was #1, and I was #6, mainly because we had just made delivery brokerage free. We were, and still are, ants compared to Reliance/Jio. 😅 Looking back, what's phenomenal isn't just how big it has become. It's how much it has changed India and helped so many businesses start and grow. We've been beneficiaries too. @Zerodha wouldn't be what it is today without Aadhaar and UPI. But just as important was Jio, along with Airtel, bringing millions of Indians online with affordable data. Together, all of this made the huge expansion of Indian capital markets after COVID possible. Without this digital infrastructure, many online-first businesses would be much smaller, and a lot of today's consumer business models might not exist at all. In 2016, India had roughly 2 crore unique investors. Today, over 13 crore Indians invest in the markets, and Jio played a big part in that. I can't tell you whether to apply for the upcoming IPO. But both telcos have played a huge role in enabling an entire generation of Indian businesses like ours. And it's nice that the capital markets they helped grow can now help Jio raise money. From the outside, it's easy to miss how much of our success depends on infrastructure built by others.

    4.2K24015624300K viewsView on X
  • Jul 3, 20264.0x their median

    It's been almost 20 years since I got my Airtel connection, and I've easily paid them more than Rs. 25 lakh in that time. I can't think of any other business that has made even close to this much money from me. Now the reason why I am saying this is I was watching the latest episode of the Intermission by @TheKenWeb. In case you haven't checked it out, it's a wonderful show on the history of some of the biggest businesses in India. Their latest episode is about Airtel and Rohin, and Seetharaman traced the entire Airtel journey, and I didn't realize that Airtel has had many, many near-death experiences and yet always came out stronger to be the business that it is today.

    4.2K23110014764K viewsView on X
  • Sep 1, 20265.4x their median

    A friend asked me if Zerodha charges AMC (Account Maintenance Charges). (Yes, I still get these messages😛). Of @Zerodha’s ~2 crore clients, only about around 40% of clients paid AMC during the year. So 60% of our customers don't pay any AMC because the holdings value of these accounts falls within the BSDA limit. Accounts with holdings less than ₹4 lakh qualify as a Basic Services Demat Account (BSDA). There's no AMC on a BSDA as long as you only have one demat. Btw, the AMC is free for the first year for all Zerodha accounts.

    3.6K13617515505K viewsView on X
  • Jun 18, 20262.9x their median

    I lost a fitness bet, and I'm happy I lost this one. https://t.co/xhR3XSC9Yn

    3.4K579928427K 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.

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Reading these numbers

A typical post picks up 726 interactions against 1.1M followers, an engagement rate of 0.068%. Measured over 14 original posts, its engagement rate beats 64% of 20,444 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 79K times each, and 0.914% of those impressions turn into an interaction. That is about 7.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 14 posts sampled, 93% carry an image or video and 57% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 18x its own typical post.

What is Nithin Kamath's engagement rate on X?
Nithin Kamath (@Nithin0dha) has an engagement rate of 0.068%, based on the median interactions across 14 original posts from the last 30 days against 1,076,373 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.068%, Nithin Kamath sits above the 25th percentile of the 204,583 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 @Nithin0dha have real engagement?
Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 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 @Nithin0dha post?
Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 0.73 posts per day across the measured window.

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