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Sanjay Jha engagement report

@JhaSanjay - 561K followers on X

Measured over 37 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.092%
of 561K followers
Per impression
3.68%
14K views on a typical post
Reach
2.51%
of its followers see a post
Typical post
519
interactions (median)
Saved
0.064%
9 bookmarks on a typical post
Posting rate
1.5/day
active 73% of days
Peak time
03:00 UTC
Saturday

A typical post picks up 519 interactions against 561K followers, an engagement rate of 0.092%. Measured over 37 original posts, its engagement rate beats 70% 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 14K times each, and 3.68% of those impressions turn into an interaction. That is about 2.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 37 posts sampled, 16% carry an image or video and 5% link out. The account's strongest tracked post pulled 18K interactions, about 35x its own typical post. Recurring topics include #jantarmantar, #upi, #darpokdada.

Measured over 37 original posts from a 30-day window, last computed on October 12, 2026. Recurring tags: #jantarmantar, #upi, #darpokdada.

Compared with accounts its own size

Sanjay Jha's engagement rate beats 70% 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 83% 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%, Sanjay Jha sits above the 25th percentile of the 205,475 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 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 03:00 UTC, and Saturday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video16% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 16% 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.
  • 5% 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 756 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 14, 202635x their median

    अर्नब हमें pervert बोल रहे थे! मैने उनके चैनल की रिपोर्टिंग दिखाई जहां मेलोनी और मोदी के गले मिलने पर लिखा गया: "जयशंकर उस पूरे ग्रुप की तरह है जो कॉलेज में अपने दोस्त को उसकी क्रश से बात करते हुए देख रहा हो" अर्नब जी Pervert कौन हुआ और delete क्यों किया अपनी उस sexist news को? मेरे पास आपके उस Sexist News की pdf है।

    14K3.5K26975515K viewsView on X
  • Sep 24, 202613x their median

    IMPORTANT: Election Commission is HIDING the details of the software used for SIR claiming it is a “trade secret” & “affects commercial confidence”. Yesterday, the Indian Express revealed how the two Election Commissioners themselves had expressed concerns over the software being used by ECI for the SIR exercise. The software consists of an opaque algorithm which has been used to delete voters through a centralized system in Delhi (bypassing EROs). I’d asked the ECI about details of the software, who designed it, & who was given the tender. SHOCKINGLY, ECI has refused to disclose the details claiming it would “affect commercial confidence”. A software used by a public authority is being kept secret for “commercial interests”. Therefore, WHICH COMPANY’s COMMERCIAL INTEREST IS BEING PROTECTED? ECI/BJP IT head Seema Khanna & Chief Election Chor Gyanesh Kumar clearly hired a private company to design the SIR software used for deleting voters. And now, ECI is not only hiding the name of the company but also the details of this mysterious software. 👉 WHAT IS THIS SECRET SOFTWARE OF ECI & WHICH COMPANY MADE IT? 👉 Who is ECI protecting by hiding the details? 👉 What secret algorithm is being used to issue notices & delete crores of voters? 👉 What sort of corruption is being covered up by hiding the name & details of the company which got the tender?

    4.6K2.0K11962118K viewsView on X
  • Oct 10, 20269.8x their median

    He was always 56 cms actually. #JantarMantar

    4.5K3302412239K viewsView on X
  • Aug 14, 20268.7x their median

    A fake account impersonating the Embassy of Italy has got the rightwing dunderheads knickers in a twist. 😂

    4.0K453802044K viewsView on X
  • Aug 10, 20268.6x their median

    I try not to let things get personal on my show, but sometimes this happens 💀 https://t.co/QpIlBaZuE6

    3.6K67713736254K viewsView on X
  • Sep 10, 20268.1x their median

    India’s Per Capita GDP is lower than the cost of Apple’s latest Duo IPhone.

    3.2K46744463104K viewsView on X
  • Aug 24, 20265.1x their median

    WHAT WE DON’T SAY BUT WE SHOULD Arnab Goswami has long abandoned any pretension of being an independent journalist. He is like a quasi-BJP Spokesperson, peddling their propaganda. The good news is that his outstanding efforts at spreading fake news with his trademark flared nostrils, sanctimonious affectations and forced baritone has boomeranged on his benefactors. Vishwa Guru and he rose together. They are falling together in a spectacular collapse.

    2.1K3761261246K viewsView on X
  • Oct 5, 20264.9x their median

    HOW THE SUPREME COURT FAILED INDIA: BEFORE SIR, THERE WAS THE ELECTORAL BONDS STORY. REMEMBER? On 15 February 2024, the Supreme Court unanimously declared the Electoral Bonds Scheme UNCONSTITUTIONAL We clapped. A landmark judgment. But. But extraordinarily late. The scheme operated since 2018. Thousands of crores had already flowed anonymously into political parties. And India was weeks away from the 2024 Lok Sabha election. It raises a fundamental question: Why did constitutional scrutiny of something so critical to electoral democracy take so long? It was bizarre. But there is an even bigger unfinished story. THE SCHEME WAS UNCONSTITUTIONAL. IN THAT CASE, WHAT ABOUT THE MONEY? The Supreme Court stopped further Electoral Bonds and ordered disclosure of donor data. Fair enough. But thousands of crores already encashed by political parties were not frozen, put into escrow or ordered returned. Why? This is the billion dollar question. If secrecy in political financing was unconstitutional, and there was potential for money to influence policy, why wasn’t there a judicially supervised examination of money already received? Temporarily, they had to be frozen. It was like the cops telling a thief who stole diamonds that we caught you, but please keep the jewelry. It was a joke. And remember who overwhelmingly benefited. The BJP was by far the largest recipient of Electoral Bond funding. That money was available during one of India’s most consequential elections. The unconstitutional pipeline was shut. But the proceeds already delivered through it remained with the recipients. THEN CAME THE QUID-PRO-QUO QUESTION Once bond purchasers were identified, serious questions emerged about patterns involving political donations, government contracts, regulatory decisions and investigative-agency action. Surely they demanded a prompt probe. Yet when a court-monitored SIT investigation was sought, the Supreme Court declined. So ask yourself:, Was every suspicious transaction investigated? Was quid pro quo established—or disproved? Were potentially connected government contracts and regulatory concessions scrutinised? Was anyone held accountable? Declaring the mechanism unconstitutional was only half the job. Democracy needed to know what happened through that mechanism while it existed. AND THIS MATTERS RIGHT NOW: #SIR While India is consumed by SIR, remember: democracy isn’t compromised only at the ballot box. It can also be compromised through money, contracts, regulatory discretion, institutional access and corporate-political proximity. That is why emerging questions around corporate power, including the Tata Sons dispute, must be examined with evidence. That TCS, a Tata IT behemoth formerly led by N Chandrasekaran is the SIR’s technical / software vendor becomes germane. If credible evidence establishes political proximity, ask: Who funded whom? Who received government contracts? Who received regulatory or environmental clearances? Were normal procedures followed? Was any public institution influenced? What’s the role of RBI, Charity Commissioner etc? All contracts connected with something as sacred as India’s electoral rolls demand maximum transparency. No matter how powerful the rich and the famous are. Simple. There could be a powerful connection between these controversies. 140 cr people deserve to know the truth. SIR asks: WHO GETS TO VOTE? Electoral Bonds ask: WHO GETS TO FUND THOSE WE VOTE FOR? And corporate-government relationships raise the third question: WHAT DOES THAT MONEY OR ACCESS BUY? India’s democracy needs a permanent stress test. Get on the treadmill. Wherever those trails intersect with political power, ask questions. Because democracy doesn’t die only when votes disappear. It also dies when money becomes invisible, institutions stop asking question and accountability disappears with them. Over to the Supreme Court. India is watching. And no one is above scrutiny. No one.

    1.7K736732238K viewsView on X
  • Aug 7, 20264.9x their median

    ONCE UPON A TIME IN INDIA…, 🇮🇳 We were till 2014 being pitched against China. The Dragon vs The Elephant. Now China is taking on the USA to become the world’s largest economy while India barely equals Bangladesh in per capita income. 12 wasted years. But how did this happen? Misplaced priorities. Do listen in. Share if you like. #NoTelePrompter

    1.5K5784373947K viewsView on X
  • Sep 26, 20264.4x their median

    The most insufferably toxic, prodigiously vulgar and unabashedly crude spokespersons in the BJP are former Congress members. Seriously weird.

    1.9K2091872646K 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

#jantarmantar#upi#darpokdada#noteleprompter#sir

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 519 interactions against 561K followers, an engagement rate of 0.092%. Measured over 37 original posts, its engagement rate beats 70% 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 14K times each, and 3.68% of those impressions turn into an interaction. That is about 2.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 03:00 UTC, and Saturday is the busiest day of the week. Of the 37 posts sampled, 16% carry an image or video and 5% link out. The account's strongest tracked post pulled 18K interactions, about 35x its own typical post. Recurring topics include #jantarmantar, #upi, #darpokdada.

What is Sanjay Jha's engagement rate on X?
Sanjay Jha (@JhaSanjay) has an engagement rate of 0.092%, based on the median interactions across 37 original posts from the last 30 days against 561,410 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.092%, Sanjay Jha sits above the 25th percentile of the 205,475 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 @JhaSanjay have real engagement?
Its engagement rate beats 70% 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 @JhaSanjay post?
Most posts go out around 03:00 UTC, and Saturday is its busiest day, at roughly 1.5 posts per day across the measured window.

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