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Hiten Shah engagement report

@hnshah - 368K followers on X

Measured over 18 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 368K followers
Per impression
0.772%
12K views on a typical post
Reach
3.28%
of its followers see a post
Typical post
92
interactions (median)
Saved
0.546%
66 bookmarks on a typical post
Posting rate
2.17/day
active 23% of days
Peak time
00:00 UTC
Tuesday

A typical post picks up 92 interactions against 368K followers, an engagement rate of 0.025%. Measured over 18 original posts, its engagement rate beats 40% 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 12K times each, and 0.772% of those impressions turn into an interaction. That is about 3.25% 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, though only 23% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 17% carry an image or video, 6% are part of a thread and 56% link out. The account's strongest tracked post pulled 45K interactions, about 492x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

Hiten Shah's engagement rate beats 40% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 41% 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 0.025%, Hiten Shah sits above the 25th percentile of the 66,128 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video17% of posts+111%+108% to +115%34K
Outbound link56% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 17% 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.
  • 56% 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 373 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, 2026492x their median

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

    42K2.4K5372141.1M viewsView on X
  • Sep 1, 202671x 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

    5.9K314213140540K 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
  • Aug 16, 202625x 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)

    2.0K1526832160K viewsView on X
  • Aug 30, 20265.1x their median

    I started making one Grok Bot a day and the list of Bots I want to make keeps getting longer. So I guess this is bot weekend. Maybe bot week. I have a few dozen $200 codes too. Each gets you an Ultra plan or $200 of on-demand usage. What @bot would you make this week? If you’re stuck, start with something you keep doing yourself. I’ll pick from the replies and DM the codes. Then come back and show me what you made. I’ll put a few Bots I like in the replies too. Might give you some ideas.

    20632524151K viewsView on X
  • Aug 29, 20264.1x their median

    If you’re working on a pitch deck this weekend, here’s one of my favorite ways to test it. Give the deck to someone who doesn’t know much about the company. Let them read the whole thing. Then ask them to pitch the company back to you. Listen closely to what they remember and how they explain it. That’s a pretty good test of what your deck is actually communicating. I’ve reviewed a lot of pitch decks over the years. I still find this more useful than starting with individual slides.

    3163717742K viewsView on X
  • Sep 1, 20263.8x their median

    Been thinking about “pivots” today. Many of the best companies I have been lucky enough to get involved with are pivots. Fates Forever (game) -> Discord Cicada (education) -> https://t.co/vLSmnRRpkw Fanbase (sports fans) -> Nextdoor Odeo (podcasts) -> Twitter

    27814431044K viewsView on X
  • Aug 30, 20261.8x their median

    Okay, second @bot is ready. This one is a Product Idea Stress Test. Give it something you’re thinking about building. It’ll figure out what has to be true for the idea to work and look for evidence those assumptions hold up. Then it’ll tell you what to test next. I made it because AI is way too good at telling you your idea sounds interesting. Try it with something you’re actually thinking about building. https://t.co/Pp8YBfu1GA

    143415113K viewsView on X
  • Aug 31, 20261.6x their median

    I keep meeting people who make me feel more like myself. That feeling has become one of the signals I trust most. Some relationships require less translation. You simply recognize each other.

    124521111K viewsView on X
  • Aug 28, 20261.6x their median

    Finally managed to get my coding agents to add before/after screenshots and videos to PRs without committing media or using an external host. They upload directly to GitHub’s user-attachments endpoint, then embed the returned URL in the PR body. Instructions in 🧵

    124414234K 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 92 interactions against 368K followers, an engagement rate of 0.025%. Measured over 18 original posts, its engagement rate beats 40% 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 12K times each, and 0.772% of those impressions turn into an interaction. That is about 3.25% 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, though only 23% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 17% carry an image or video, 6% are part of a thread and 56% link out. The account's strongest tracked post pulled 45K interactions, about 492x its own typical post.

What is Hiten Shah's engagement rate on X?
Hiten Shah (@hnshah) has an engagement rate of 0.025%, based on the median interactions across 18 original posts from the last 30 days against 368,282 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, Hiten Shah sits above the 25th percentile of the 66,128 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 40% 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 @hnshah post?
Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 2.17 posts per day across the measured window.

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