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Nithin Kamath engagement report

@Nithin0dha - 1.0M followers on X

Measured over 22 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.092%
of 1.0M followers
Per impression
0.869%
110K views on a typical post
Reach
10.6%
of its followers see a post
Typical post
954
interactions (median)
Saved
0.117%
128 bookmarks on a typical post
Posting rate
1.23/day
active 77% of days
Peak time
11:00 UTC
Monday

A typical post picks up 954 interactions against 1.0M followers, an engagement rate of 0.092%. Measured over 22 original posts, its engagement rate beats 72% of 3,809 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 110K times each, and 0.869% of those impressions turn into an interaction. That is about 10.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 22 posts sampled, 86% carry an image or video and 55% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 14x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

Nithin Kamath's engagement rate beats 72% of the tracked X accounts closest to it in follower count (3,809 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 47% 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 0.092%, Nithin Kamath sits above the 50th percentile of the 36,960 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.435%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 36,960 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,518 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 percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile159.8%

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 Monday 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 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%73K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%102K
16:00 UTC-3%99K
17:00 UTC-2%92K
18:00 UTC-1%85K
19:00 UTC-2%80K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-2%58K
23:00 UTC-1%52K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%233K
Monday0%292K
Tuesday-3%284K
Wednesday-1%253K
Thursday-2%246K
Friday-3%255K
Saturday+3%229K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 15, 202614x their median

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

    13K29823549604K viewsView on X
  • Jun 17, 202610x their median

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

    9.1K31130945376K viewsView on X
  • Jul 3, 20264.7x 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.

    4.2K23110015764K viewsView on X
  • Jun 18, 20263.8x their median

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

    3.4K579928427K viewsView on X
  • Jul 29, 20263.3x their median

    My biggest nightmare as a broker is what’s happening in the Korean markets right now. The source of my nightmare is the way our MTF book has been growing along with the industry as a whole. In terms of pure risk, MTF is by far the biggest risk we have taken since we started in 2010. More specifically, the risk lies in our ₹9,000-crore book: at least half of it is in non-F&O stocks, which can hit lower circuits every day without offering an exit. The problem with Korea is the one-way rally. When markets go up so sharply, leverage builds up because collateral values increase, leading to more borrowing and so on. The second layer of risk comes from the derivatives complex and leveraged ETFs, which further exacerbate moves on both the upside and downside. When the markets fall, things get really ugly. The first leg of selling tends to be small, but as collateral and margin values drop, margin calls increase, leading to forced selling. Forced unwinding from leveraged ETFs makes this worse, and this downside move becomes a self-reinforcing loop until things stabilize. Btw, MTF became popular only in the last 3–4 years, and we really haven’t seen a sharp market crash similar to the KOSPI since COVID. Even though MTF as a percentage of market cap is small, if the Indian markets were to fall sharply, it would cause severe sell-offs across many small- and mid-cap stocks. Brokers today typically provide MTF on ~1,500 stocks. 😬 Luckily, thanks to SEBI, we've avoided the worst excesses that typically arise from unchecked leverage. Btw, my colleague @prayagverma maintains a site with really good market stats, including MTF, here: https://t.co/uRJrvOvbHK

    2.7K30815633471K viewsView on X
  • Aug 28, 20263.2x their median

    I still don't understand the concept of a return gift on Rakhi😬 But Seema does, she's gifting her brother stocks this year. https://t.co/FUWMWNU0J0

    2.9K42789241K viewsView on X
  • Jun 28, 20263.0x their median

    Akshayakalpa has 13 years of data showing that simply introducing bee boxes increases the average coconut yield per farm by 20%. It’s such a massive win-win that they’ve now integrated 7,500 bee boxes across all their farms. Shashi from @akshayakalpa recently brought over two bee boxes for my home to get us started with beekeeping. In this clip (full video in comments), he walks through how incredibly simple it is to set up a bee home, even in smaller or semi-urban spaces. The bigger takeaway here is about how we view sustainability. We often look for grand, complex technological solutions to environmental issues. But the reality is that our survival is deeply tied to basic, interconnected ecosystems. Without pollinators, our food systems collapse; roughly a third of what we eat depends entirely on them. Taking care of them isn't just a good deed; it's an absolute necessity for our own survival. And I think education is the key, which maybe the bee boxes in urban spaces can do. Can’t be prouder of everything that the Akshayakalpa team is doing for improving the quality of life of farmers, their economics, their cows, and everything else.

    2.5K3493912152K viewsView on X
  • Aug 16, 20262.4x their median

    Yesterday night, we had @lagorimusic play at our 16th anniversary, and the band was mad! Still crooning!😬 https://t.co/JgHokQ7wQI

    2.2K54346190K viewsView on X
  • Aug 18, 20262.3x their median

    I've spoken many times about the need to make it easier for NRIs to invest in India. Finally, some great news. SEBI just released a consultation paper proposing a fully digital onboarding process for NRIs, without needing them to be physically present in India! Kudos to SEBI for this pragmatic move. This is huge because NRIs tend to have large amounts of capital to invest and are a highly durable source of inflows into Indian markets. At @Zerodha, we have over 50,000 NRIs investing with us today. A stat that surprised me when we looked at our numbers: ~80% of them are active. That's a ridiculous number. They tend to invest more, take a longer-term view, and seem to be much stickier investors than regular investors. This number has grown a lot over the last few years, mostly because the process got simpler. SEBI's earlier changes meant NRIs no longer needed the whole PIS setup to invest. Most NRIs now come in through NRO Non-PIS accounts. These accounts work almost like resident accounts today, with intraday, BTST, and F&O access, and no CP code needed. But one massive bottleneck has remained: onboarding. Even today, to open an account digitally, an NRI has to be physically in India. If they are abroad, there's a ton of physical documentation involved and dealing with international courier delays. It has always been the most painful part of the journey. SEBI’s proposals in the new consultation paper fix this longstanding gap. They’re proposing allowing e-signs directly from the client's country of residence. If finalized, this would relax tedious documentation rules and delays. Something that would take 2-3 weeks or even months could be done within 1-2 days. That's a big win. By removing all this friction, this investor base can easily be many times larger. Getting foreign money into India matters. It helps the investors, but it also helps the rupee and the larger India story. Anything that makes it easier for this money to come into India is worth doing.

    1.8K20411915169K viewsView on X
  • Jun 26, 20262.1x their median

    India is a weird market. With obesity rates shooting up, I'd have bet on the sales of generic GLP-1s exploding once their patents expired. They now cost about Rs 1,000–2,500 a month, and there's growing evidence pointing to benefits well beyond weight loss, including cardiovascular, metabolic, and liver health. Yet, generic drugmakers are quietly cutting their sales targets by 25–30%. At Rs 1,000–2,500 a month, it's cheaper than a gym membership. The real problem seems to be retention. GLP-1s are injectables, and you have to keep taking them. If you stop, you gain back the lost weight. It seems like asking someone to stay on a weekly injection indefinitely is a much harder sell. A few other friction points: For a variety of reasons, Indians haven't taken to GLP-1s with the same enthusiasm as Western populations. Could it be because Indian physicians are conservative when it comes to prescribing newer drugs? Self-injecting is a pain for most people, and that friction and inertia might be stopping them from starting in the first place. Given that there are now GLP-1 pills, I'm wondering if the adoption curve will change.

    1.7K11422156537K 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 954 interactions against 1.0M followers, an engagement rate of 0.092%. Measured over 22 original posts, its engagement rate beats 72% of 3,809 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 110K times each, and 0.869% of those impressions turn into an interaction. That is about 10.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 22 posts sampled, 86% carry an image or video and 55% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 14x its own typical post.

What is Nithin Kamath's engagement rate on X?
Nithin Kamath (@Nithin0dha) has an engagement rate of 0.092%, based on the median interactions across 22 original posts from the last 30 days against 1,036,994 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.092%, Nithin Kamath sits above the 50th percentile of the 36,960 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 72% of the tracked X accounts closest to it in follower count (3,809 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 11:00 UTC, and Monday is its busiest day, at roughly 1.23 posts per day across the measured window.

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