TG Mohandas engagement report
@mohandastg - 79K followers on X
Measured over 8 original posts from a 30-day window, last computed on September 8, 2026.
Engagement
A typical post picks up 106 interactions against 79K followers, an engagement rate of 0.136%. Measured over 8 original posts, its engagement rate beats 54% of 6,874 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 15K times each, and 0.703% of those impressions turn into an interaction. That is about 19.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 13% carry an image or video and 63% link out. The account's strongest tracked post pulled 20K interactions, about 193x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on September 8, 2026.
Compared with accounts its own size
TG Mohandas's engagement rate beats 54% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 4 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 31% 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 0.136%, TG Mohandas sits above the 50th percentile of the 66,258 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.6% |
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 16:00 UTC, and Wednesday 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 | 13% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 63% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 13% 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.
- 63% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 283 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 30, 2026193x their median
FINALLY!!! The New York Times published an opinion video on Abhijeet Dipke and CJP. This time, the NYT has completely exposed Dipke and CJP! In this report, they exposed 1. Abhijeet Dipke, Ashutosh Ranka, and others are AAP party members who work very closely with Arvind Kejriwal, whom the Ford Foundation funded heavily! 2. The NYT exposed how the American Thakur family foundation funded the entire ecosystem, which was hyperactive during the protest! 3. The NYT exposed how Marxist outfits that were in touch with the Chinese embassy and received some unknown gifts from them were running the core group of CJP and ground mobilization! 4. The NYT also exposed a phony climate action front and its relationship with its co-founder, Saurav Das! 5. The NYT also exposed how Abhijeet Dipke and Saurav Das have appointed their GFs into the core team of CJP to show fake women's empowerment! 6. The NYT also exposed how Ashutosh Ranka was on the payroll of a US company that has people from USAID and Soros' team! 7. The NYT has also exposed how Abhijeet Dipke has lied that he has worked for just three years, whereas he has been working with AAP since 2016 to date! 8. The NYT has also exposed how Abhijeet Dipke frequently flew from the USA to India in between his studies and sometimes during his exams too! 9. The NYT has also asked Abhijeet Dipke what he was doing in Turkey! 10. The NYT has also asked where his degree is! After all the questions, Abhijeet Dipke declared the NYT to be Godi media and threatened that Ravish Kumar would make a video about the NYT!
- Aug 26, 202616x their median
കേസും ജാമ്യവും ഒക്കെ വന്നപ്പോഴാണ് എന്നെ ഇഷ്ടപ്പെടുന്നവർ ഒരുപാടുണ്ട് എന്ന് മനസ്സിലാക്കിയത്. എല്ലാവർക്കും നന്ദി പറയുന്നു. മറ്റെന്ത് പറയാൻ! 🙏🙏♥️♥️
- Jun 6, 20262.8x their median
കറങ്ങി കറങ്ങി കറങ്ങി... കറങ്ങൂല...🙏🙏 https://t.co/MehfhF5ysq
- Sep 1, 20262.2x their median
ദേ കിടക്കുന്നു!! 😁 ഒരു സത്യം പറയാൻ പോയതാണ്, അപ്പൊ മനസ്സിലായി സന്ഘികളെ എടുത്തിട്ട് അലക്കുന്നതുപോലെ എളുപ്പമല്ല എന്ന്!! ആ പരിപ്പ് ഈ കലത്തിൽ വെന്തില്ലല്ലേ @AparnaKurup https://t.co/FJd0g3Q9oo
- Jun 21, 20262.0x their median
വയോജന വകുപ്പ് ഏറ്റെടുക്കാൻ മന്ത്രി ഇല്ലത്രേ! ഇങ്ങോട്ട് തന്നേരെ. ഞാൻ നോക്കിക്കോളാം. ശമ്പളമൊന്നും വേണ്ട. 10 കോടി ബജറ്റ് ഉണ്ടല്ലോ, അത് മതി. ഒരു രണ്ടു കൊല്ലം കൊണ്ട് സകല കിളവീകിളവൻമാരെ തീർത്തു തരാം. നമ്മുടെ @gvnair91 മാത്രം നിൽക്കട്ടെ. പിള്ളേർക്ക് കാണാൻ ഒരു സാമ്പിൾ ഐറ്റം വേണമല്ലോ😄
- Jul 7, 2026
എനിക്ക് തോന്നുന്നത് നമ്മുടെ റിപ്പോർട്ടർ മുതലാളിയുടെ ശാപം മെസ്സിക്ക് തട്ടിയിട്ടുണ്ട് എന്നാണ്
- Aug 21, 2026
Lokpal rejects CBI clean chit to corrupt bureaucrat Ramesh Abhishek. Orders fresh probe https://t.co/RdHZO5Y9FI via @PGurus1
- Sep 1, 2026
Kissing Child's Penis Amounts To Penetrative Sexual Assault Under POCSO Act: Kerala High Court https://t.co/nxWbWQpwHZ
- Jul 11, 2026
India was here: The story of SuperComputing! In 1987, the United States denied India a Cray X-MP supercomputer, citing export controls and fears of nuclear misuse. The following year, Rajiv Gandhi asked Dr. Vijay Bhatkar if India could build its own. "I have not seen a supercomputer," Bhatkar replied. "I have only seen a picture of the Cray. But yes, we can." Gandhi gave C-DAC a mandate, three years, and a budget smaller than the cost of the machine being denied. In 1991, Bhatkar delivered PARAM 8000: built for less than what America had been willing to charge, and purchased by fourteen countries, including Germany, the United Kingdom, and Russia. At the 1990 Zurich Supercomputing Show, the prototype benchmarked second among all systems evaluated. Gandhi did not live to see it. He was assassinated in May 1991. American media covered it using the headlines: "Denied supercomputer, Angry India does it." That should have been the beginning. India's post-1991 software boom pulled talent and capital toward IT services, where India could sell code at scale. Hardware was slower and harder. C-DAC's funding became inconsistent, and no private sector took the relay. And then came the defining irony: when India unveiled its next landmark supercomputer in 2015, SahasraT, it was a Cray XC40, manufactured by the very American company that had refused to sell India the technology thirty years earlier. The state bought what it had once been forced to build. By 2023, China had 162 supercomputers in the global TOP500. The US had 127. India had three. As of 2026, China's LineShine has claimed the global top position. India has zero systems near the upper tier, its AI training runs on rented foreign cloud, and it imports nearly all the high-end chips its researchers require. PARAM was not the end of a story. It was the proof of concept for one. The National Supercomputing Mission was announced in 2015. India is still catching up. The machine was called PARAM: supreme. The next 25 years that followed were neither.
- Aug 26, 2026
Set a reminder for my upcoming Space! https://t.co/SvA3DPKCH7
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.
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Reading these numbers
A typical post picks up 106 interactions against 79K followers, an engagement rate of 0.136%. Measured over 8 original posts, its engagement rate beats 54% of 6,874 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 15K times each, and 0.703% of those impressions turn into an interaction. That is about 19.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 13% carry an image or video and 63% link out. The account's strongest tracked post pulled 20K interactions, about 193x its own typical post.
- What is TG Mohandas's engagement rate on X?
- TG Mohandas (@mohandastg) has an engagement rate of 0.136%, based on the median interactions across 8 original posts from the last 30 days against 78,541 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.136%, TG Mohandas sits above the 50th percentile of the 66,258 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 @mohandastg have real engagement?
- Its engagement rate beats 54% of the tracked X accounts closest to it in follower count (6,874 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 @mohandastg post?
- Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 0.4 posts per day across the measured window.