Harish Sharma engagement report
@hsvashistha16 - 59K followers on X
Measured over 10 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 94 interactions against 59K followers, an engagement rate of 0.161%. Measured over 10 original posts, its engagement rate beats 55% of 20,445 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 7.4K times each, and 1.28% of those impressions turn into an interaction. That is about 12.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video and 10% are part of a thread. The account's strongest tracked post pulled 2.3K interactions, about 24x its own typical post. Recurring topics include #aatmnirbharbharat, #rollbackcas.
Measured over 10 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #aatmnirbharbharat, #rollbackcas.
Compared with accounts its own size
Harish Sharma's engagement rate beats 55% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 44% 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 0.161%, Harish Sharma sits above the 50th percentile of the 205,048 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 04:00 UTC, and Friday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 50% 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 227 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 25, 202624x their median
It was a generous move by Nirmala Tai to hike STCG & LTCG rates. By completely wiping out market gains, she has successfully brought our tax liability down to ₹0. Absolute Masterstroke 🧠🤷♀️
- Aug 4, 202612x their median
@NSEIndia and @SEBI_India My loss today is because of your CAS. I have recorded this entire video as evidence. Reach out to me in 48 hours and compensate me of this loss. Otherwise, I will force to take legal steps @zerodha @adigitalblogger https://t.co/ADSmaKacOX
- Sep 3, 202612x their median
Loss occured because of that fucking Bastard Look at the disparity between Sensex and Nifty Dont know what to do How to tackle this shitty regime #rollbackCAS https://t.co/QGfSlIZ4ds
- Aug 4, 20266.6x their median
Clear Open fraud to Loot retailers and HNIs by @nseindia. What is framed as policy reform feels like an institutionalized push that hurts market transparency and systematically disadvantages smaller market participants. Regulatory bodies must protect traders, not compromise them. #MarketReform #InvestorProtection #SEBI #NSE
- Jun 3, 20266.2x their median
Probably time has come to quit options trading in Indian markets. Volatility and speculation at its peak Charges at its peak Completely Clueless !
- Aug 31, 20266.0x their median
It looks like Tuhin Kanta Pandey got promoted through Paper Leak. Bloody A*$hole is trying to ruin whole derivative ecosystem. #rollbackCAS https://t.co/oTtgDKl1sd
- Sep 10, 20265.9x their median
Sorry to say Everyone saying that CAS has become casino Not at all Even Casinos have rules and a fair odds of loosing and winning CAS is pure speculation which gives free hand to well connected Institutions while retail pays the price. Where is the oversight? @SEBI_India
- Aug 6, 20265.2x their median
No rise in Vix No Global or Domestic event Still straddle has risen with 130pts at day opening only that too on an expiry day All thanks to CAS They have given platter to the institutions like Jane. At 3:30 they will melt it at their choice of price that too in few seconds. #rollbackCAS
- Aug 4, 20264.0x their median
You are simply killing the goose that laid the golden aggs. Reforms should drive progress not destroy it. CAS approach is inherently flawed for derivatives. @NSEIndia @BSEIndia @SEBI_India #RemoveCAS
- Aug 5, 20263.6x their median
Why CAS should be removed 1. Manipulated Price Discovery: Illiquid, post-market windows allow deep pockets to artificial move closing prices without real market depth. 2. Increases risk for Options traders at close as its uncertain where the market will close and so the option price settlement. 3. Doesn't give confidence to the expiry traders as flawed mechanics trigger erratic option premium spikes, killing trader participation on expiry days. It will adversely impact to the entire derivative trading ecosystem. Traders participation and tax revenues will go for a toss. You need to either improvise it or take it back. @NSEIndia @SEBI_India #rollbackCAS
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
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 94 interactions against 59K followers, an engagement rate of 0.161%. Measured over 10 original posts, its engagement rate beats 55% of 20,445 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 7.4K times each, and 1.28% of those impressions turn into an interaction. That is about 12.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 50% carry an image or video and 10% are part of a thread. The account's strongest tracked post pulled 2.3K interactions, about 24x its own typical post. Recurring topics include #aatmnirbharbharat, #rollbackcas.
- What is Harish Sharma's engagement rate on X?
- Harish Sharma (@hsvashistha16) has an engagement rate of 0.161%, based on the median interactions across 10 original posts from the last 30 days against 58,716 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.161%, Harish Sharma sits above the 50th percentile of the 205,048 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 @hsvashistha16 have real engagement?
- Its engagement rate beats 55% of the tracked X accounts closest to it in follower count (20,445 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 @hsvashistha16 post?
- Most posts go out around 04:00 UTC, and Friday is its busiest day, at roughly 0.53 posts per day across the measured window.