Varun Mayya engagement report
@waiting4_asi - 518K followers on X
Measured over 20 original posts from a 30-day window, last computed on October 23, 2026.
Engagement
A typical post picks up 582 interactions against 518K followers, an engagement rate of 0.113%. Measured over 20 original posts, its engagement rate beats 72% of 21,185 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 30K times each, and 1.96% of those impressions turn into an interaction. That is about 5.75% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 20 posts sampled, 50% carry an image or video, 10% are part of a thread and 10% link out. The account's strongest tracked post pulled 12K interactions, about 21x its own typical post.
Measured over 20 original posts from a 30-day window, last computed on October 23, 2026.
Compared with accounts its own size
Varun Mayya's engagement rate beats 72% of the tracked X accounts closest to it in follower count (21,185 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 66% 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 0.113%, Varun Mayya sits above the 25th percentile of the 213,098 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 10% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 50% 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 355 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 15, 202621x 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
- Oct 21, 202614x their median
I am pretty concerned we are in the early stages of a global cyber security incident and we just don't fully realize the extent of it yet.
- Aug 2, 202611x 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 ...
- Oct 2, 20268.1x their median
I've done a complete U-turn on my opinion on open source AI. We should be careful (and probably disallow release) of models on par with current open source Astra/Opus level models. AI is now reverse engineering games from binaries and remaking them. Reverse engineering games is a very hard problem. If this is possible then reverse engineering banking software, ID systems (Aadhaar), flights, etc is possible too. A game ships its binary to every player. Bank and Aadhaar backends are protected by servers, but it's unlikely the security teams at these are smarter than advanced AI that can do this to games. We are protected rn because a Claude will refuse to tick "I'm not a robot" on websites. When OSS models don't respect that, we have a looming cybersecurity problem. Apologies I didn't see this earlier.
- Aug 3, 20268.1x 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.
- Aug 13, 20265.9x 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. 👇
- Aug 10, 20215.9x their median
Today OpenAI launched Codex, which is an API that uses AI to write code from natural language. There's a demo video here: https://t.co/hOOfo3MZlu
- Oct 2, 20265.0x their median
I'm noticing a lot of people have a "labor theory of value" specifically for art and nothing else
- Aug 1, 20263.2x 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.
- Oct 11, 20263.1x their median
Most people may not know this, but Aeos helped ElevenLabs with their Kannada implementation. A couple of years ago we were working with a large cricket team (still an Aeos client) on dubbing and Kannada wasn’t an option. We spent a lot of time helping figure it out. The ElevenLabs team was super fast at making it all work (they were a much smaller co back then btw) and now many across the country can access Kannada dubbing!
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 582 interactions against 518K followers, an engagement rate of 0.113%. Measured over 20 original posts, its engagement rate beats 72% of 21,185 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 30K times each, and 1.96% of those impressions turn into an interaction. That is about 5.75% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 20 posts sampled, 50% carry an image or video, 10% are part of a thread and 10% link out. The account's strongest tracked post pulled 12K interactions, about 21x its own typical post.
- What is Varun Mayya's engagement rate on X?
- Varun Mayya (@waiting4_asi) has an engagement rate of 0.113%, based on the median interactions across 20 original posts from the last 30 days against 517,508 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.113%, Varun Mayya sits above the 25th percentile of the 213,098 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 @waiting4_asi have real engagement?
- Its engagement rate beats 72% of the tracked X accounts closest to it in follower count (21,185 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 @waiting4_asi post?
- Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 2.17 posts per day across the measured window.