Back to @_PatilVishwajit's profile

Vishwajit Patil engagement report

@_PatilVishwajit - 166K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 23, 2026.

Engagement

Middle of its size range
Per follower
0.112%
of 166K followers
Per impression
1.60%
12K views on a typical post
Reach
6.99%
of its followers see a post
Typical post
186
interactions (median)
Saved
0.06%
7 bookmarks on a typical post
Posting rate
1.37/day
active 47% of days
Peak time
13:00 UTC
Monday

A typical post picks up 186 interactions against 166K followers, an engagement rate of 0.112%. Measured over 40 original posts, its engagement rate beats 56% 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 12K times each, and 1.60% of those impressions turn into an interaction. That is about 6.99% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 95% carry an image or video and 8% link out. The account's strongest tracked post pulled 2.5K interactions, about 14x its own typical post. Recurring topics include #prahaar, #tigershroff, #himeshreshammiya.

Measured over 40 original posts from a 30-day window, last computed on October 23, 2026. Recurring tags: #prahaar, #tigershroff, #himeshreshammiya.

Compared with accounts its own size

Vishwajit Patil's engagement rate beats 56% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 55% 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 0.112%, Vishwajit Patil sits above the 25th percentile of the 205,152 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 205,152 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 video95% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 95% 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.
  • 8% 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 546 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

  • Sep 2, 202614x their median

    No hate to anyone, but comparing Yash to Prabhas is ridiculous. #Yash     had one big franchise (KGF), but #Prabhas IS the franchise. The crowd pull he has across North, South, and Overseas is on a completely different level. Prabhas is far bigger star, period. #ToxicTheMovie

    2.1K37341623K viewsView on X
  • Sep 3, 20266.5x their median

    Let’s be real, #AlluArjun’s stardom and pan-India reach are completely unmatched. He is levels above #Yash. End of discussion! #Toxic

    94820654521K viewsView on X
  • Oct 15, 20266.4x their median

    #Jailer2Review: ⭐️⭐️ #Jailer2 is a DISAPPOINTING FILM. With films like Jailer and Vettaiyan, superstar #Rajinikanth proved that the mass-masala genre could still feel electric. There was an effortless swagger mixed with explosive high-points that kept audiences hooked to the screens and drove the box office crazy. And with Jailer 2, which marks the return of the blockbuster franchise, expectations were sky-high. But does it live up to the massive hype it generated? The answer is a sad NO! Director Nelson Dilipkumar delivers a lazy, recycled cut that feels creatively empty. The film tries to follow the exact same template as Part 1, but completely runs out of steam. The strongest base for a sequel like this has to be the pacing and the high-octane fan moments. Instead, the film suffers from a painfully lengthy runtime and a weak, predictable climax. For drama lovers, the first half manages to hold some ground, but the second half completely crashes. Even the star-studded cameos, which were the biggest highlight of the original, fail to create any real impact or spark this time around. The only consistent element is Anirudh. His background score and tracks try their best to inject energy and elevate the scenes, but even his musical rescue act can't save a fundamentally hollow script. On the whole, Jailer 2 is a forced sequel that genuinely feels like a massive opportunity lost. By chasing scale over substance, the film weakens its momentum, which will heavily restrict its long-term prospects at the box-office.

    829312487100K viewsView on X
  • Oct 14, 20265.4x their median

    Hearing incredible whispers from the editing room of #KING! The opening 10 minutes are designed strictly for the big screen. #ShahRukhKhan’s introduction sequence is reportedly so massive it will turn theatres into stadiums. Absolute peak cinema incoming! Lock this tweet. The box office hierarchy changes forever on December 24, 2026!

    790185181129K viewsView on X
  • Sep 2, 20263.1x their median

    #Toxic is a certified DISASTER in the Hindi belt today! A massive 95% crash at the box office. The audience has completely rejected it. It's officially game over! #ToxicTheMovie #Yash

    4877420110K viewsView on X
  • Oct 19, 20263.0x their median

    If #King hits ₹1000 CR WW against a global cyclone like #Doomsday with Suhana Khan and Abhishek Bachchan the debate is dead. It’s a complete demolition of the competition. #ShahRukhKhan is officially the undisputed BIGGEST STAR of the decade. Period. https://t.co/TNswXxkGVG

    4636821118K viewsView on X
  • Sep 1, 20262.8x their median

    Biggest Pan India Star? #Yash Or #AlluArjun #Toxic

    341122511037K viewsView on X
  • Oct 19, 20262.6x their median

    #SalmanKhan #TigerShroff The audacity of these underground cockroaches to openly threaten @BeingSalmanKhan and plot attacks in broad daylight is infuriating! Mumbai will NOT tolerate a revival of the 90s underworld menace. It’s high time CM @Dev_Fadnavis ji eliminates this gangster culture with absolute iron fists. These criminals don't care about community pride—they are just bloodthirsty for cheap fame and extortion money. Stay strong, Salman Bhai! Entire Bollywood must stand rock solid together right now!

    3727037878K viewsView on X
  • Oct 16, 20262.5x their median

    Box Office update - #Prahaar is the 7th box-office FLOP in a row for @MaddockFilms as it has hardly eked out Rs 2 crore net on Day 1. In the MASS CENTRES, many shows were CANCELLED and this @RajkummarRao film will face heavy reduction of shows from Sunday onwards. Budget is Rs 60 crore which is TOO HUGE and #DineshVijan will cop HEAVY losses. Basically, it's a FLOP from the first show. #NayyiNavelli has managed a decent start for a female-centric movie as it collects Rs 3.5 crore net (approx) on Day 1. #Jailer2 is doing GOOD business in Hindi language and the results would have been MUCH BETTER if it has released in PVR-INOX chain. 2-day collections will be in the range of Rs 6.5 crore net. This again underlines what I've seen saying for long: STARDOM of @rajinikanth must be properly harnessed in Hindi-speaking circuits. #DrishyamTheConclusion holds its own on the 3rd Friday depsite lesser screens as it rakes in approx 2.8 crore net to takes its total to Rs 336 crore net in India. #Rajinikanth #BoxOffice

    38242275186K viewsView on X
  • Sep 1, 20262.4x their median

    Respect #Yash and his KGF huge success, but one hit doesn’t make a superstar. He’s a goodwill actor, not a superstar. Let's be real #Toxic #ToxicTheMovie

    332535038.9K 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

#prahaar#tigershroff#himeshreshammiya#king#shahrukhkhan

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 186 interactions against 166K followers, an engagement rate of 0.112%. Measured over 40 original posts, its engagement rate beats 56% 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 12K times each, and 1.60% of those impressions turn into an interaction. That is about 6.99% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 95% carry an image or video and 8% link out. The account's strongest tracked post pulled 2.5K interactions, about 14x its own typical post. Recurring topics include #prahaar, #tigershroff, #himeshreshammiya.

What is Vishwajit Patil's engagement rate on X?
Vishwajit Patil (@_PatilVishwajit) has an engagement rate of 0.112%, based on the median interactions across 40 original posts from the last 30 days against 166,140 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.112%, Vishwajit Patil sits above the 25th percentile of the 205,152 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 @_PatilVishwajit have real engagement?
Its engagement rate beats 56% 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 @_PatilVishwajit post?
Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.37 posts per day across the measured window.

Keep going