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Sanjeev Bikhchandani engagement report

@sbikh - 350K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Per follower
0.127%
of 350K followers
Per impression
0.612%
72K views on a typical post
Reach
20.8%
of its followers see a post
Typical post
443
interactions (median)
Saved
0.122%
88 bookmarks on a typical post
Posting rate
0.13/day
active 10% of days
Peak time
13:00 UTC
Monday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 443 interactions against 350K followers, an engagement rate of 0.127%. Posts are seen about 72K times each, and 0.612% of those impressions turn into an interaction. That is about 20.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 10K interactions, about 23x its own typical post. Recurring topics include #thelionsshare, #themoneytrap. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 16, 2026. Recurring tags: #thelionsshare, #themoneytrap.

Where this sits in the catalog

At 0.127%, Sanjeev Bikhchandani sits above the 25th percentile of the 204,956 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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 212 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

  • Apr 18, 202623x their median

    We have heard you. Clearly and openly. Over the past few days, our community and customers have spoken - and we have listened. Today, we are standardizing our In-Store Style Guide and sharing it publicly and transparently: https://t.co/INMPMSWwyx These guidelines explicitly and unambiguously welcome every symbol of faith and culture our team members carry - bindi, tilak, sindoor, kalawa, mangalsutra, kada, hijab, turban, and more. Not as exceptions. As who we are. Lenskart was built in Bharat, by Indians, for Indians. Our 2400+ stores are run by people who bring their beliefs, their traditions, their identity to work every day. That is not something we will ever ask anyone to leave at the door. If any version of our workplace communication caused hurt or made any of our team members feel that their faith was unwelcome here, we are deeply sorry. That is not who Lenskart is, and it is not who we will ever be. We make a commitment today - not just in words, but in the document we are publishing - that every policy, every training material, and every communication that carries the Lenskart name will reflect these values. We remain committed to applying these guidelines fairly and consistently, and will continue to review and improve our processes. We will do better. And we will keep earning your trust. 🙏 -Team Lenskart

    2.4K4006.8K8811.8M viewsView on X
  • Apr 24, 20263.6x their median

    An investor risks money. An entrepreneur risks his or her life. An investor has a portfolio of investments. If a few succeed the investor succeeds. An entrepreneur has only one life. If the company goes down the entrepreneur goes down with it. The risk that an entrepreneur takes and the risk that an investor takes are asymmetric. Which is why we as investors have huge respect for founders https://t.co/4uN0mZM7O1

    1.4K1404191.6M viewsView on X
  • Aug 30, 20262.3x their median

    This is a good oped in Sunday Times. India has already created 12 million gig jobs without a government jobs guarantee, giant factories or taxpayer-funded payrolls. That is something to build on not something to be ashamed of. And for many, platform work is not exploitation but a dignified escape from low-productivity, low-paying alternatives. Wage dynamics are revealing. A garment worker in a formal factory earns roughly ₹12,800 to ₹15,700 a month across Tamil Nadu, Karnataka, Gujarat and Haryana. OTOH,a platform driver can gross around ₹27,000, or roughly ₹19,000 after operating costs while retaining something a conventional factory job cannot offer.+ flexibility and the ability to enter the labour market almost immediately. And the oped also points to the ideological contradiction of whose who have disdain only for 'gig jobs These are same folks who celebrate MNREGA as dignified employment somehow regard a person freely choosing to deliver food, drive a cab or take platform work as being “exploited”. MNREGA can pay as little as ₹252–₹336 a day in the states Yet the same people who defend guaranteed state-funded manual labour often want to regulate away flexible market-based work that workers themselves choose. Protect workers with accident insurance, portable social security and transparent algorithms. And fight mindset regulating an imperfect but rapidly expanding source of opportunity out of existence.

    711254282576K viewsView on X
  • Oct 12, 20261.9x their median

    building agents is easy getting them to production is hard today we’re launching @neatlogs to fix that https://t.co/IwhlPk2kR1

    45361108228139K viewsView on X
  • Apr 17, 20261.7x their median

    In which I chat with my old friend Safi Rizvi who has embarked on a new career as a podcaster after a long stint in the IPS. We discuss a range of topics Ep 3 | The Business of a Founder | In conversation with Mr. Sanjeev Bhik... https://t.co/kKW2LrlzGB via @YouTube

    67755822.4M viewsView on X
  • Jul 16, 20261.6x their median

    Recd this message on an @AshokaUniv WhatsApp group. Hi All, As we wrap up the year for placements and higher education support for 2025-26, I would like to share Ashoka student achievements. *Career Development Office* We have achieved 100% placements with 425 offers in 153 organisations ( including 73 new recruiters). Highest offer made was Rs. 42.5 lpa to UG’25, CS major. Avg. CTC went up by 16.3% from 11.6LPA to *13.5LPA* Median rose by 7.5 % from 10.6LPA to *11.4LPA* 60% of the placed cohort went to the following 4 top sectors : 1) BFSI (21%) Avg. CTC increased by 4% to 12.7LPA 2) Consulting (19%): Avg. CTC increased by 22% to 16.1LPA 3) Tech (10%) Avg. CTC increased by 29% to 15.1LPA 4)Data, Research and Analytics (10%): Avg. CTC increased by 21% to 13.5LPA *Office of Post Grad* 130 students received ~400+ offers from top global universities. Highlights include *24 Oxbridge admits* (up from 15 in ’25) and *24 Ivy League admits* (up from 13 in ’25). Students received partial scholarships *(ranging from 10% to 80%)* across master’s programs at *Yale, Columbia, UPenn, Brown, Sciences Po, Oxford, Cambridge, LSE, Hertie, NUS* etc. Students also earned 18 full-ride graduate masters scholarships (up from 8) including Rhodes, Gates-Cambridge, Inlaks, and Felix and 16 PhD admits, 12 fully funded.

    606283420399K viewsView on X
  • Jul 7, 2026

    A well argued piece by my friend Amit Sinha (IIMA Class of 1993) about all the drama around campus reconstruction and the misguided IIMA Alumni who successfully ran a campaign to block the institute administration’s effort and held IIMA hostage https://t.co/J37FYSkRnp

    49936126480K viewsView on X
  • Sep 2, 2026

    VP of India Shri @CPR_VP unveiled Gnani Artha last friday: our end-to-end sovereign AI stack. Built on Gnani Evon 3.3, our 30B open-weights model trained natively in 11 Indian languages, and Gnani Plexus, our agentic platform. Built in India. For India. https://t.co/K2RTr7iE6e

    48434521.2M viewsView on X
  • May 28, 2026

    A few weeks back I had spoken at the Launch of the book “The Business of Business is (not) just business : How Behavioural Tools Can Drive Real Change” written by @sutapaban published by Harper Collins. The session was moderated by Safi Rizvi and Sutapa and I were panelist’s. I was reminded of this when I just saw a piece in The Print about it https://t.co/xTPTzipMNC The book is full of insights about how knowledge of human behaviour gives insights that can influence and drive businesses and business strategy. In my chapter in this book I discuss how observation of my colleagues’ behaviour provided the germ of the idea of https://t.co/BkHdgvhlm7 One other gem that Sutapa spoke about at the launch was that it has been proven that males display alpha behaviour on the trading floor and end up taking excessive risk and therefore lose money precisely because they are men and have excessive testosterone. Female traders don’t exhibit the same behaviour. She implies that trading and investing firms should hire more females. A book worth reading and thinking about. https://t.co/9oXQnaC2da Disclosure - Sutapa and I are Colleagues on the Eternal board. She chairs the Audit Committee. @zomato @letsblinkit @deepigoyal @albinder @akshant_g @InfoEdgeVC @kitty_agar

    4382982618K viewsView on X
  • Jan 4, 2026

    This sudden moral panic over the “exploitation” of gig workers; performed theatrically by a familiar cast of politicians and buddhijeevis; deserves some retrospection. So let me drag into daylight a fraternity that perfected exploitation long before apps, algorithms, or delivery bikes ever existed: architecture. I chose architecture chasing a rare synthesis, art with discipline, creativity anchored in physics and mathematics. For a lower-middle-class kid, it looked like a profession of dignity: hard work rewarded by skill, imagination rewarded by merit. Reality announced itself early. In the middle of a first-year ragging session, a drunk senior laughed and said: “Even if you dance naked, you won’t get ₹20,000 as a fresher architect.” It sounded crude but he had uttered a truth. Between 2006 and 2011, I spent ₹3–4 lakhs just on stationery, prints, models. Nights bled into mornings in studios. I once sat for 32 continuous hours finishing construction drawings. We were told this was character building. But in reality it was normalization of abuse spelled in romantic language. One of India’s most celebrated architects’ office offered a stipend of ₹500 a month. Another suggested I should work for free; because, apparently, I owed them gratitude for the privilege of learning. I declined both and joined a “mediocre” firm instead, where I worked day and night for a stipend barely enough to go home during festivals. Deepawali? Working day. Because suffering, you see, was a virtue. In Bengaluru, things matured. ₹20,000 a month. Thirteen- to fifteen-hour workdays. Leaving the studio before 11:00 pm felt rebellious. If we missed the 11:30 pm food outlet, we walked 3.5 km back to a makeshift terrace studio in BTM. Miss the 9 am reporting time next morning? Quarter-day salary cut. The sermon was constant: “This is the age to slog. You’ll thank us later.” This misery was systemic. Across firms. Across cities. Across generations. And almost every architect who presided over this cruelty claimed; loudly; to be a socialist. Champions of the poor. Professional mourners of inequality. On public platforms, they wailed about capitalism, cursed right-wing governments, blamed GDP figures, and lectured the nation on ethics. One such chief architect at an MNC even declared that Bangladesh was more prosperous than Bharat and that people like Adani and Ambani were destroying the country. Yet when I asked for a justified increment; after increasing departmental business by 300% post-COVID; he responded with bad humour and moral posturing. Equality for speeches. Austerity only for employees. Today, this very ecosystem is clutching pearls over comments made by @deepigoyal, echoing the freshly rehearsed Marxism of @raghav_chadha . Suddenly, exploitation is a sin. Suddenly, markets are immoral. Suddenly, entrepreneurs are villains. The irony is obscene. Architecture graduates spend five years, lakhs of rupees, and their youth; only to be paid below India’s per-capita income, while working longer hours than most gig workers ever will. Firm owners upgrade cars, collect awards, host conferences on “inclusive cities”; yet ensure that the very people creating their success live without dignity, savings, or future. And then comes the audacity: to lecture a man whose idea built an ecosystem that employed lakhs; many without elite degrees, without capital, without inherited privilege. What did you create? A culture where mediocrity wears moral superiority like a badge. Where true exploitation is rebranded as mentorship. Where ambition is humiliated, and suffering is fetishized. And where the loudest critics of capitalism behave like feudal lords the moment they hold power. History will remember it for what it truly is: the organized defense of mediocrity; and the systematic disrespect of talent; innovation, and those who escaped your cartel of calibrated misery.

    3259814839K 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

#thelionsshare#themoneytrap

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 443 interactions against 350K followers, an engagement rate of 0.127%. Posts are seen about 72K times each, and 0.612% of those impressions turn into an interaction. That is about 20.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 10K interactions, about 23x its own typical post. Recurring topics include #thelionsshare, #themoneytrap. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Sanjeev Bikhchandani's engagement rate on X?
Sanjeev Bikhchandani (@sbikh) has an engagement rate of 0.127%, based on the median interactions across 2 original posts from the last 30 days against 350,164 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.127%, Sanjeev Bikhchandani sits above the 25th percentile of the 204,956 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 @sbikh have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @sbikh post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 0.13 posts per day across the measured window.

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