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Hiten Shah engagement report

@hnshah - 368K followers on X

Measured over 34 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Middle of its size range
Per follower
0.017%
of 368K followers
Per impression
0.578%
11K views on a typical post
Reach
2.92%
of its followers see a post
Typical post
62
interactions (median)
Saved
0.186%
20 bookmarks on a typical post
Posting rate
3.6/day
active 37% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 62 interactions against 368K followers, an engagement rate of 0.017%. Measured over 34 original posts, its engagement rate beats 41% 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 11K times each, and 0.578% of those impressions turn into an interaction. That is about 2.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 34 posts sampled, 18% carry an image or video and 59% link out. The account's strongest tracked post pulled 45K interactions, about 730x its own typical post.

Measured over 34 original posts from a 30-day window, last computed on October 4, 2026. Recurring tag: #omfest.

Compared with accounts its own size

Hiten Shah's engagement rate beats 41% 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 34% 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 0.017%, Hiten Shah sits above the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video18% of posts+111%+108% to +115%34K
Outbound link59% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 18% 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.
  • 59% 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 282 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

  • Jul 28, 2026730x their median

    whoever successfully rebranded ‘bots’ as ‘agents’ is a god-tier marketer

    42K2.4K5372141.1M viewsView on X
  • Sep 1, 2026156x their median

    Training tiny models for special purpose use cases works so incredibly well if you have a great self improving recursive flywheel. Shopify ML team is on fire. finetuned 0.8b model beats GPT 5.6-sol xhigh in this very specialized task. https://t.co/w6OCWyWRi5

    8.5K5463122611.7M viewsView on X
  • Sep 12, 202685x their median

    Next week, @mattyp @roshan_s and myself will be speedrunning building a new company using only Grok @Bot on the Grok Bot Galaxy livestream! We’ve been given just 3 days to do it, or else we might be turned into pizza 🤪 it will be so fun and I hope to see you on the livestream! I will have to miss the Cursor Compile conf in London and Amsterdam though. I will instead record an extended version of my talk and make it freely available here. So stay tuned for that post! https://t.co/pkqZ3O6IZw

    4.5K401326782.5M viewsView on X
  • Oct 6, 202534x their median

    Most people have no idea what it actually takes to be a founder. They talk about vision, grit, or passion. Those words are props. What you really sign up for is a life where every decision feels like it costs something real. You will spend years being misunderstood. By your team, your family, even the people you hire to help you. You will fail in public and still need to keep the energy up in private. Every founder lives with the weight of knowing that you can do everything right and still get crushed by luck, timing, or somebody else’s mistake. Founders aren’t braver than anyone else. They just get used to uncertainty, then stop waiting for clarity. Most of your wins won’t feel like wins at all. The first revenue will be too small. The first team will outgrow you or leave. The first product that feels right will barely matter to the market. You will doubt yourself in private, sometimes every week. The founders who last figure out how to keep moving while the ground shifts underneath them. Most outsiders want the founder badge but none of the scars. They want the upside, not the drag. The hardest part is sticking around after every plan gets blown up and you have to rebuild with less optimism and more scar tissue. What makes it work isn’t relentless hustle or some mythical trait. It’s learning to make peace with constant discomfort, and then making decisions anyway. If you need constant reassurance, you’ll give up before the real work begins. If you want everyone to like you, you’ll never make the calls that matter. If you can’t handle months where nothing feels certain, this life will eat you alive. But if you can hold your own in chaos, get better at being wrong, and still want to show up and try again, you just might have a shot at building something that matters. That’s what it actually takes. And nobody cares until you make it work.

    2.4K38324493346K viewsView on X
  • Sep 29, 202646x their median

    Live reset captured!!! https://t.co/HnSvPtX6NW

    2.6K7712952355K viewsView on X
  • Aug 16, 202637x their median

    every time you intervene and correct your agent, you should think about how to eliminate it entirely. in order of value: 1. categorically eliminate the problem through better architecture or choice of data structures 2. turn it into a lint rule or test so CI catches it 3. turn it into a skill or rule 4. have humans review the code to catch it (ngmi)

    2.0K1536833162K viewsView on X
  • Aug 15, 202635x their median

    https://t.co/md25hcoBb4

    1.8K19184113636K viewsView on X
  • Sep 8, 202620x their median

    we’re proud to be partnering with @1Password so Muse will be able to work with the logins you already have. more details on how we built all of this here: https://t.co/aKxcJYbfcH

    1.1K38701965K viewsView on X
  • Sep 11, 202613x their median

    4700 word labor of love. I've seen all the patterns and heard every story about in-house brand/creative studio teams. This is my vision for where brand teams can go (and why I joined @tryramp). Brand systems that behave like jazz. Brand as software. https://t.co/T3s8uE1Lzq

    653556457169K viewsView on X
  • Jan 18, 202511x their median

    It has been 9.5 years since I met and quickly invested in the Series A of https://t.co/iOQQPrin4M. Met and invested within two weeks. Wrote this in my memo: The prize here is very large. If any company can create a new network that allows users to create and share videos, especially in conjunction with music and other media forms, and has tens or hundreds of millions of viewers, they would be in a strong position. It becomes a new form of entertainment — think the next MTV or even larger.

    604195518161K 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

#omfest

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 62 interactions against 368K followers, an engagement rate of 0.017%. Measured over 34 original posts, its engagement rate beats 41% 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 11K times each, and 0.578% of those impressions turn into an interaction. That is about 2.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 34 posts sampled, 18% carry an image or video and 59% link out. The account's strongest tracked post pulled 45K interactions, about 730x its own typical post.

What is Hiten Shah's engagement rate on X?
Hiten Shah (@hnshah) has an engagement rate of 0.017%, based on the median interactions across 34 original posts from the last 30 days against 368,283 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Hiten Shah sits above the 10th percentile of the 205,048 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 @hnshah have real engagement?
Its engagement rate beats 41% 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 @hnshah post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 3.6 posts per day across the measured window.

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