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Varun Mayya engagement report

@waitin4agi_ - 483K followers on X

Measured over 28 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Middle of its size range
Per follower
0.074%
of 483K followers
Per impression
1.16%
31K views on a typical post
Reach
6.43%
of its followers see a post
Typical post
355
interactions (median)
Saved
0.143%
44 bookmarks on a typical post
Posting rate
2.1/day
active 83% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 355 interactions against 483K followers, an engagement rate of 0.074%. Measured over 28 original posts, its engagement rate beats 63% of 3,810 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 31K times each, and 1.16% of those impressions turn into an interaction. That is about 6.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 28 posts sampled, 32% carry an image or video and 25% link out. The account's strongest tracked post pulled 12K interactions, about 34x its own typical post.

Measured over 28 original posts from a 30-day window, last computed on August 28, 2026. Recurring tag: #buildwhatmovesindia.

Compared with accounts its own size

Varun Mayya's engagement rate beats 63% of the tracked X accounts closest to it in follower count (3,810 accounts, accounts of similar size (decile 7 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 0.074%, Varun Mayya sits above the 25th percentile of the 36,852 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 36,852 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,564 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile159.8%

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 12:00 UTC, and Thursday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 12:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 15, 202634x their median

    "You know what Gamers would love? If we made Wolverine do the Erika Ishii face. We could even make it into a quick time event." "Man, if gamers don't like Insomniac's Wolverine game they just don't actually like video games." https://t.co/YDhvmZZWpE

    11K44332787395K viewsView on X
  • Aug 2, 202618x their median

    The real issue facing our nation is how to create jobs for our massive cohort of youth in this very uncertain global landscape. Sadly, the IT industry, including Zoho, have not created many jobs in recent years. We have not laid off people but we are not creating new jobs either. The money that would have gone to new employees is now going to AI and data center costs, the latter due to the steep rise in server and memory prices. We are trying to control those costs but a lot of that is out of our control. While AI allows us to produce more software quicker, does the over-saturated global software market need a lot more software? Like any commodity industry, the focus shifts to quality, reliability, brand and so on and growth will be much slower. Software customers (large and mid-sized enterprises) also have redireced their own IT spending towards AI. Even the AI companies which are growing very rapidly are borrowing and spending huge amounts of money in capex, and it is not clear they will achieve the massive profits they need to justify all the capex. What other industry can pick up the slack? Extensive automation means that large scale manufacturing produces few jobs. As an economic thinker, this is a good thing: ultimately all kinds of goods, including advanced tech products become very affordable because production becomes so cheap. The "only" question is how the economy is structured so people have the income to afford those affordable goods. That "only" question, simple in theory, is not easy in practice. Some people think the answer is Universal Basic Income (UBI) and some of that is already happening in India (we call them freebies). We can expect the political pressure to do a lot more. Is there a better answer? Continued ...

    5.0K726622112710K viewsView on X
  • Aug 3, 202613x their median

    I might never look the source again. It was nearly a half century ago that I stopped looking at assembly because I trusted the compiler to get it right. This feels like that.

    4.0K3432361297.3M viewsView on X
  • Aug 13, 20269.6x their median

    I think India accidentally built the internet’s greatest nostalgia archive. It started with one barbershop. Now there are websites for truck journeys, chai tapris, regional songs, 90s cartoons, pan shops, bus rides and basically every piece of desi life you forgot you missed. > https://t.co/GH9QuwYunn → ₹20 haircut + 90s barbershop bangers > https://t.co/1MG24W55lW → Horn OK Please at 2 AM > https://t.co/KbvIwPBU3H → Classic truck radio > https://t.co/HdD5jubQgW → UP Parivahan nostalgia > https://t.co/6hjRNCAirz → Missing home + Marathi classics > https://t.co/BANAbuZPyz → Soft Tamil night drive > https://t.co/xwxRyQN2Fj → 2000s Kannada childhood unlocked > https://t.co/crdYmXGUWM → Pure Kannada nostalgia > https://t.co/a3gWUaO7px → Sindhi lada, full volume > https://t.co/zaX4ov0ZpE → Old Punjabi Bluetooth-memory-card songs > https://t.co/X9AmyYpCv1 → Bihar bus journey core > https://t.co/w676HEEG27 → Gujarati chachar chok > https://t.co/kJcffs7BFQ → Mazdoor anthem energy > https://t.co/WWbE0PjGVN → Cutting chai + plastic stool > https://t.co/0lzs44brad → Chai ki tapri classic > https://t.co/ttUYsY5dy5 → Long-distance bus uncle playlist > https://t.co/Ij0ge45Onr → Roadways bus vibes > https://t.co/VwExVWy1HB → Mistri / construction site radio > https://t.co/b6PmEPGNaf → Auto wala, full volume > https://t.co/7YvIImffu1 → Pan shop corner energy > https://t.co/DnF8JMQhzx → Deluxe saloon upgrade > https://t.co/l7lllxIK8q → Dhaba + full thali mood > https://t.co/o4sgCk4NxY → Qawwali mehfil, late night > https://t.co/eKvjd2LypA → Gali walk + old Bollywood > https://t.co/qy4hneF2Dc → Interactive truck + 90s bangers > https://t.co/3lMURmJPet → 90s cartoon theme songs > https://t.co/Mrewbn0slC → 80s–90s gali nostalgia > https://t.co/yt4Ao1OTqM → Another cutting chai classic > https://t.co/gGyBf2nkUu → Cutting chai special > https://t.co/7mL6WU4z4a → Another truck-radio gem > https://t.co/X9AmyYpCv1 → Bihar Parivahan Nigam bus > https://t.co/w676HEEG27 → Gujarati nostalgia > https://t.co/kJcffs7BFQ → Mazdoor radio And somehow, every single one feels like a tiny time machine. The internet is weird. One day it's another AI wrapper. The next day someone builds a website that makes you remember sitting at a chai tapri, travelling in a UP bus, listening to songs from a Bluetooth memory card or getting a ₹20 haircut in 2007. Internet is actually beautiful sometimes. Drop the desi nostalgia website I missed in the replies. Let's see how deep this rabbit hole goes. 👇

    2.7K46215451269K viewsView on X
  • Aug 1, 20265.2x their median

    We’re in the golden era for math, science, and progress thanks to AI. Intelligence is no longer the limiter. Grateful to live through this era and watch it all live.

    1.7K72421045K viewsView on X
  • Aug 27, 20264.5x their median

    https://t.co/vGaFrjWcSN

    1.5K31731058K viewsView on X
  • Aug 13, 20264.2x their median

    I've long wondered whether it is possible for a content creator like me to impact things that I've been personally frustrated with, like India's public service websites. With all the advances in AI and the pure speed at which talented builders can make things, it should be possible to contribute. But good engineers from India will always run into an access problem - what platform do they show their work or ideas on that will get taken seriously enough? So...I'm trying. We're doing a hackathon called "Build What Moves India" where we try our level best to get great panelists involved, enough credits for AI (I spoke to my friends at OpenAI), and also try to get public service website decision makers to pay attention and at least evaluate the solutions presented. I'm not deluded enough to think that a single hackathon can solve a country's problems, but I think it can start *some* dialogue between the smart folks on X, the tech community in India, and legacy bodies. I've also spoken to a few of my good engineer friends from X to come mentor (almost all of them have struggled with EPFO at some point). Everyone said yes! More soon but just a heads up. I'd love if you participated!

    1.3K681071968K viewsView on X
  • Aug 2, 20263.0x their median

    As you progress in your career the offline parts of your job become more important than the online ones. This is why it's likely AI would disproportionately affect junior workers who prefer to stay behind a screen. Even more important to put yourself out there rn.

    9924134433K viewsView on X
  • Aug 12, 20262.8x their median

    trying my best and failing often

    8895360434K viewsView on X
  • Jul 30, 20262.4x their median

    Interesting overlap in concepts in the Ramayan trailer and UTA trailer. Love this explosion of high quality creative expression from India! https://t.co/yuhW7PXbsx

    8101213138K 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

#buildwhatmovesindia

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 355 interactions against 483K followers, an engagement rate of 0.074%. Measured over 28 original posts, its engagement rate beats 63% of 3,810 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 31K times each, and 1.16% of those impressions turn into an interaction. That is about 6.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 28 posts sampled, 32% carry an image or video and 25% link out. The account's strongest tracked post pulled 12K interactions, about 34x its own typical post.

What is Varun Mayya's engagement rate on X?
Varun Mayya (@waitin4agi_) has an engagement rate of 0.074%, based on the median interactions across 28 original posts from the last 30 days against 483,084 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.074%, Varun Mayya sits above the 25th percentile of the 36,852 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 @waitin4agi_ have real engagement?
Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (3,810 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 @waitin4agi_ post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 2.1 posts per day across the measured window.

Keep going

Varun Mayya (@waitin4agi_) Engagement Rate - 0.074% | PlayerSells