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String Vinodh engagement report

@StringReveals - 414K followers on X

Measured over 78 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Top quarter for its size
Per follower
0.144%
of 414K followers
Per impression
4.22%
14K views on a typical post
Reach
3.42%
of its followers see a post
Typical post
599
interactions (median)
Saved
0.049%
7 bookmarks on a typical post
Posting rate
4.07/day
active 97% of days
Peak time
14:00 UTC
Saturday

A typical post picks up 599 interactions against 414K followers, an engagement rate of 0.144%. Measured over 78 original posts, its engagement rate beats 77% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 14K times each, and 4.22% of those impressions turn into an interaction. That is about 3.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Saturday is the busiest day of the week. Of the 78 posts sampled, 96% carry an image or video and 10% link out. The account's strongest tracked post pulled 13K interactions, about 22x its own typical post. Recurring topics include #mahendragirivarahi, #सपा_का_मीडिया_पाखंड, #listen.

Measured over 78 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #mahendragirivarahi, #सपा_का_मीडिया_पाखंड, #listen.

Compared with accounts its own size

String Vinodh's engagement rate beats 77% 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 86% 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 0.144%, String Vinodh sits above the 50th percentile of the 204,956 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video96% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 96% 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.
  • 10% 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 323 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 22, 202622x their median

    I stand with Professor Doolla. An allegation cannot become a verdict. Caste angle can’t be injected to cover up for cheating Villainising a teacher before the facts are established can permanently damage his reputation even if he is later cleared. Sahil’s family deserves answers but the professor deserves a fair hearing. Let evidence decide but don’t presume guilt until proven innocent. #IITBombay

    9.8K2.9K32272202K viewsView on X
  • Aug 26, 202618x their median

    BJP is playing on the front foot. They’ve created a website called “Jhooth Ki Goonj”, which highlights misleading and fake news spread by Rahul Gandhi..! 😂 https://t.co/fFPYlqoPvq

    8.8K2.0K1211353K viewsView on X
  • Sep 24, 202617x their median

    Explosive Thread: Must-Read. Must Share 1. How Foreign-funded NGOs and people are interfering with our election process. Shocking details of sold-out people and NGOs. ADR, with their lawyer Prashant Bhushan, filed many PILs in the SC against the Election Commission. https://t.co/bTFFYnmNCd

    5.7K4.4K164128196K viewsView on X
  • Sep 14, 20269.0x their median

    Bhai bhai😂She got up without turning off the cam and mic. Divya Srivastava, the so called ‘fearless, independent journalist’, look at her true face now👇 She did so much drama at CM Yogi’s press conference now labels another journalist as ‘BJP ka dalal.’ Share this widely and comment: #सपा_के_दरबारी_पत्रकार

    4.2K1.2K199113K viewsView on X
  • Aug 27, 20269.0x their median

    DISASTER🚨Nepal was not warned on time by China🥲 Chinese media reportedly said that they saw a sudden hit of flood at Tibet’s Kerung country around 10:30AM local time - 2hrs before flood reached Nepal. But why China did not give immediate warning to Nepal? Btw, PM Modi ji extended India’s support in providing all possible humanitarian assistance to Nepal. He already set a team to coordinate the rescue operations🙏 #NepalFloods #IndiaNepal

    4.5K8186210527K viewsView on X
  • Aug 16, 20268.6x their median

    Shivam Bhai has a rare talent. He lets them speak, waits patiently, and then dismantles the entire aura with facts.😎 This time “YouTube experts”😂👇 https://t.co/sGFMEx0llC

    4.1K1.1K281054K viewsView on X
  • Aug 20, 20268.0x their median

    A girl in Karnataka saved herself from a disaster! She rejected a guy with a ₹40 lakh package after seeing Rahul Gandhi as his role model in his Instagram bio. Her question was: “What will my future look like if a loser is your role model?” 😭😂 https://t.co/S1jH4quRgK

    3.7K994624497K viewsView on X
  • Sep 24, 20267.7x their median

    Another Hindutva account goes down due to mass reporting by mlechas👇 Close to 1L followers and used to do brilliant job on countering Anti-Nationals. Please Follow him on his new account: https://t.co/ax8ty7sQpK https://t.co/23JcoWrc02

    3.4K1.2K59863K viewsView on X
  • Aug 21, 20266.8x their median

    Can 7 out of 108 AAP-built schools be ready to collapse? 🏚️ Saurabh Das found cracks, falling tiles, and dilapidated structures. The video was deleted once it was revealed the repairs were from the previous term. Rekha Gupta’s government is doing what Kejriwal should have done years ago. And the expose was left behind😅 #DelhiEducation #Kejriwal #RekhaGupta #TruthExposed

    2.8K1.3K1419828K viewsView on X
  • Sep 5, 20266.8x their median

    Bittu Tabahi Destroyed German Shepherd 😭😭😂😂 https://t.co/mzlFnGIdC4

    3.5K5386227K 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

#mahendragirivarahi#सपा_का_मीडिया_पाखंड#listen#hanumanansh#happybirthdaymodi

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 599 interactions against 414K followers, an engagement rate of 0.144%. Measured over 78 original posts, its engagement rate beats 77% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 14K times each, and 4.22% of those impressions turn into an interaction. That is about 3.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Saturday is the busiest day of the week. Of the 78 posts sampled, 96% carry an image or video and 10% link out. The account's strongest tracked post pulled 13K interactions, about 22x its own typical post. Recurring topics include #mahendragirivarahi, #सपा_का_मीडिया_पाखंड, #listen.

What is String Vinodh's engagement rate on X?
String Vinodh (@StringReveals) has an engagement rate of 0.144%, based on the median interactions across 78 original posts from the last 30 days against 414,284 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.144%, String Vinodh sits above the 50th 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 @StringReveals have real engagement?
Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @StringReveals post?
Most posts go out around 14:00 UTC, and Saturday is its busiest day, at roughly 4.07 posts per day across the measured window.

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