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Rohit engagement report

@heyrohitai - 78K followers on X

Measured over 15 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.121%
of 78K followers
Per impression
1.16%
8.2K views on a typical post
Reach
10.5%
of its followers see a post
Typical post
95
interactions (median)
Saved
0.293%
24 bookmarks on a typical post
Posting rate
2.27/day
active 63% of days
Peak time
04:00 UTC
Tuesday

A typical post picks up 95 interactions against 78K followers, an engagement rate of 0.121%. Measured over 15 original posts, its engagement rate beats 52% 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 8.2K times each, and 1.16% of those impressions turn into an interaction. That is about 10.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video and 13% link out. The account's strongest tracked post pulled 8.8K interactions, about 92x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Rohit's engagement rate beats 52% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 43% 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 0.121%, Rohit sits above the 25th percentile of the 205,676 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%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,676 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.679%
90th percentile2.56%
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 04:00 UTC, and Tuesday 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video100% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 13% 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 562 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 10, 202692x their median

    INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now. https://t.co/x8JCMxGMpU

    7.2K1.5K7121813K viewsView on X
  • Sep 9, 202639x their median

    INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now. https://t.co/96yqmIjRIn

    3.0K6533710335K viewsView on X
  • Sep 10, 202631x their median

    Our bet is that better AI will make films more personal. So I made a film where hurting someone turns you into candy. Would that make us civilised? Created with @seedance 2.5. Happy to collaborate with @BytePlusGlobal on this project. #seedance25 https://t.co/JcyLE2Y9eW

    2.0K3282582881.0M viewsView on X
  • Sep 10, 202611x their median

    introducing kyra glasses. a proactive wearable that handles your communications and work. it figures out what needs you, handles what it can, and brings you in when it genuinely matters. today, your phone makes you manage everything yourself. kyra is built to handle the rest. pre-orders open now.

    6869222190345K viewsView on X
  • Sep 9, 20265.8x their median

    Elon Musk says AI will make money irrelevant by 2026 https://t.co/huqXtBNPLW

    4547027435K viewsView on X
  • Sep 8, 20265.3x their median

    Today, we're open-sourcing Ling-3.0-flash-VL in BF16 and FP8. FP4 and INT4 are coming soon. Beyond visual recognition, it follows visual cues to: - Understand images, video, docs & UIs - Reason, search & verify - Use tools, check results & deliver https://t.co/kImBAjbdV9

    371674325319K viewsView on X
  • Oct 23, 20264.8x their median

    A pair of earbuds is a few grams of plastic, metal and electronics, made across several factories before it reaches a pocket. Solar panels, circuit boards and wind turbines are built the same way. For years, buyers had to juggle those factories themselves, while the one with exactly the right machine often never heard about the order. ZETWERK (@zetwerk) set out to close that gap. We first partnered with Amrit Acharya (@acharyaamrit) and Srinath Ramakkrushnan (@srinathramki) in 2019. Since then, that idea has grown into a network of nearly 7,000 suppliers, serving customers in 29 countries across energy, precision products and capital goods. Along the way, Zetwerk has brought work to builders from workshops in India to factory floors in Germany. Amrit and Srinath were joined by Vishal Chaudhary, Ankit Fatehpuria and Rahul Sharma in their journey. Today, Zetwerk’s name goes up on the NSE and BSE. Behind that name are thousands of people who built it, one part at a time. Congratulations Amrit, Srinath and the entire Zetwerk team. This film is for all of you, and everyone who builds with you. @bsomaia

    253551034645K viewsView on X
  • Sep 9, 20264.5x their median

    GPT Images 2.5 now makes our static ad creatives. 2 models, 50% faster, shipped few hours ago 👇 Product shots, statics, and offer variants, all in one chat. The parts that matter for paid social: 1/ The Flare default 2/ The Sunburst tier 3/ The reference lock 4/ The focused edit 5/ The multi-turn run 6/ The Sketch input 7/ The Templates rack 8/ The lighting fix The scroll can't clock it anymore Paste 1 product shot in, first variant back in 30 seconds. Comment "FLARE" and I'll DM you the 5 prompts we run our statics through.

    28810634136K viewsView on X
  • Sep 22, 20264.4x their median

    AI image generation is moving beyond “make it look good.” I’ve been putting the Hy Image3.5 preview by @TencentHunyuan through a series of creative tests. From photorealism and typography to composition and editing consistency, I wanted to see how it performs beyond the usual AI-generated visuals. The results surprised me. 🧵👇

    32156381144K viewsView on X
  • Oct 6, 20264.2x their median

    In 1986 a guy got kicked out of every casino in Vegas for counting cards. So he flew to Hong Kong with $180,000 and started betting on horses instead. He walked away with almost $900 million. It was Bill Benter. He realized horse racing was just another counting problem same math, more moving parts. He and a partner built a computer model that estimated the true odds of each horse. If his numbers showed an edge, he bet. If not, he skipped it. That’s the whole trick: Expected value. EV = p · b − (1 − p) Only bet when the probability of winning × the potential payout is greater than the chance of losing. What’s even crazier is that Benter once gave a 45-minute lecture explaining the math behind his system. That recording was never supposed to become public. And almost nobody knows it exists. This is the lecture that professional bettors and hedge fund analysts studied. The answer is in this video.

    3395211182K 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.

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Reading these numbers

A typical post picks up 95 interactions against 78K followers, an engagement rate of 0.121%. Measured over 15 original posts, its engagement rate beats 52% 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 8.2K times each, and 1.16% of those impressions turn into an interaction. That is about 10.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video and 13% link out. The account's strongest tracked post pulled 8.8K interactions, about 92x its own typical post.

What is Rohit's engagement rate on X?
Rohit (@heyrohitai) has an engagement rate of 0.121%, based on the median interactions across 15 original posts from the last 30 days against 78,183 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.121%, Rohit sits above the 25th percentile of the 205,676 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 @heyrohitai have real engagement?
Its engagement rate beats 52% 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 @heyrohitai post?
Most posts go out around 04:00 UTC, and Tuesday is its busiest day, at roughly 2.27 posts per day across the measured window.

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