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immad engagement report

@immad - 930K followers on X

Measured over 15 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.023%
of 930K followers
Per impression
0.689%
30K views on a typical post
Reach
3.31%
of its followers see a post
Typical post
205
interactions (median)
Saved
0.054%
16 bookmarks on a typical post
Posting rate
1.3/day
active 57% of days
Peak time
03:00 UTC
Wednesday

A typical post picks up 205 interactions against 930K followers, an engagement rate of 0.023%. Measured over 15 original posts, its engagement rate beats 46% of 20,182 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 0.689% of those impressions turn into an interaction. That is about 3.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 47% carry an image or video, 27% are part of a thread and 13% link out. The account's strongest tracked post pulled 20K interactions, about 41x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on September 28, 2026.

Compared with accounts its own size

immad's engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,182 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 38% 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 0.023%, immad sits above the 10th percentile of the 204,424 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,424 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,888 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 percentile0.677%
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 03:00 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.

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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video47% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 47% 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 209 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Jun 5, 202641x their median

    What just happened? The S&P 500 just erased nearly -$2 TRILLION of market cap just hours after 3rd strongest US jobs report in 18 months. Meanwhile, Bitcoin is officially down over -50% from its record high in October 2025. What's happening? Let us explain. (a thread) https://t.co/8T3ViBo3U6

    16K2.2K7254645.7M viewsView on X
  • Aug 21, 202621x their median

    In love with this new @mercury card https://t.co/mnEKgBFHb5

    4.1K7944652.3M viewsView on X
  • Jul 14, 202621x their median

    Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari. Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving every turn. The models quietly got good enough to fly the whole route, but the tools never caught up. So we built the autopilot. @vorfluxai raised a $15M seed by @ycombinator @peakxvpartners @alliancedao @parkerconrad @jake_zeller @balajis @nivi @metakovan @lmrankhan @nikitabase @0xrwu @ayushjaiswal @mattshumer_ @eshamanideep @sreeramkannan @dvcoolster @nusimow @TeddySolomon11 @ashtoncofer @rvivek etc Drop your biggest engineering bottleneck below. I'll reply with how I'd attack it with Vorflux, and hand you $200 in free credits to bang out your backlog. Our full thesis 🧵👇

    3.2K2446291842.2M viewsView on X
  • Mar 30, 20219.2x their median

    Over the years, I have tried to share learnings from my startups and seed investing. Decided to combine my startup tweets+tweetstorms into a tweethurricane. Here are my learnings + advice, from pitching investors to getting through the journey:

    1.5K22612127View on X
  • Aug 11, 20268.8x their median

    the more people you consult for advice, the more likely you’ll make a bad/average decision. (1) ppl are, on average, risk averse...and, in quantity, will blunt your boldness. (2) ppl may hate/envy opportunities they lack. (3) ppl tend to mix cynicism (bad) w/ criticism (good)

    1.5K1436251308K viewsView on X
  • Sep 9, 20266.9x their median

    1/ The FDIC just approved @Mercury Bank, N.A.'s application for deposit insurance. One step closer to opening Mercury Bank!. There is still work between here and opening Mercury Bank’s virtual doors, which should happen in 2027. I started Mercury in 2017 because I wanted to build the bank I wished had existed when I was running my previous companies. Going from a fintech with bank partners to a tech company with an actual bank has been the vision from the beginning.

    1.2K451222692K viewsView on X
  • Aug 11, 20266.4x their median

    founders: only send investor updates when you're winning. Listen has sent 3 in its history. All fundraise announcements. Nobody reads a bad update and helps. They just mark you as dying.

    95814172171953K viewsView on X
  • Aug 25, 20266.1x their median

    1/ Today, we’re launching real-time payments (RTP): instant, always-on money movement, 24/7, weekends and holidays too. Pay someone at 9pm on a Friday, it lands by 9:01. Many banks don’t even know US RTP are possible (lots of banks don’t offer it). Its now live on Mercury. https://t.co/dcHI6lM876

    1.1K355641153K viewsView on X
  • Dec 14, 20243.3x their median

    What are the chances that @elonmusk becomes a trillionaire in the next 10 years? Currently:: 42% of SpaceX $350bn 20% of Tesla $1.37tn Large percentage in X, xAI, Neuralink. Currently he is worth $400bn. Seems almost inevitable.

    1.0K1416014136K viewsView on X
  • Aug 14, 20265.5x their median

    Took the sign to the streets of SF to talk to our customers https://t.co/YASdouzMZ7

    8874512366358K 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 205 interactions against 930K followers, an engagement rate of 0.023%. Measured over 15 original posts, its engagement rate beats 46% of 20,182 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 0.689% of those impressions turn into an interaction. That is about 3.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 47% carry an image or video, 27% are part of a thread and 13% link out. The account's strongest tracked post pulled 20K interactions, about 41x its own typical post.

What is immad's engagement rate on X?
immad (@immad) has an engagement rate of 0.023%, based on the median interactions across 15 original posts from the last 30 days against 929,522 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.023%, immad sits above the 10th percentile of the 204,424 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 @immad have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,182 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 @immad post?
Most posts go out around 03:00 UTC, and Wednesday is its busiest day, at roughly 1.3 posts per day across the measured window.

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