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Anthony Pompliano 🌪 engagement report

@APompliano - 2.4M followers on X

Measured over 175 original posts from a 30-day window, last computed on October 29, 2026.

Engagement

Middle of its size range
Per follower
0.016%
of 2.4M followers
Per impression
0.501%
76K views on a typical post
Reach
3.11%
of its followers see a post
Typical post
380
interactions (median)
Saved
0.02%
15 bookmarks on a typical post
Posting rate
8.63/day
active 100% of days
Peak time
13:00 UTC
Wednesday

A typical post picks up 380 interactions against 2.4M followers, an engagement rate of 0.016%. Measured over 175 original posts, its engagement rate beats 40% 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 76K times each, and 0.501% of those impressions turn into an interaction. That is about 3.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 8.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 175 posts sampled, 44% carry an image or video and 30% link out. The account's strongest tracked post pulled 84K interactions, about 221x its own typical post.

Measured over 175 original posts from a 30-day window, last computed on October 29, 2026.

Compared with accounts its own size

Anthony Pompliano 🌪's engagement rate beats 40% 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 31% 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 0.016%, Anthony Pompliano 🌪 sits above the 10th percentile of the 212,078 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,078 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,460 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 percentile0.025%
50th percentile0.146%
75th percentile0.694%
90th percentile2.61%
99th percentile83.1%

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.

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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video44% of posts+111%+108% to +115%34K
Outbound link30% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 44% 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.
  • 30% 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 374 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

  • Nov 13, 2016221x their median

    My rules of business: Build shit people want, never give up, avoid assholes, question assumptions, learn new ideas & always reward ambition

    60K12K11K1.2KView on X
  • Aug 26, 202663x their median

    Nvidia is doing $1 billion in revenue PER DAY. Insane.

    22K1.0K395154934K viewsView on X
  • Sep 1, 202644x their median

    This is incredible footage. A police officer arrives at a burning house, kicks open the door, and rescues a mother and her children. You can see the moment he mentally decides to risk his life right before he runs into the fire. Heroes walk among us. https://t.co/Jw1Q1g5sCJ

    16K1.0K23682669K viewsView on X
  • Sep 23, 202634x their median

    Someone needs to create an AI agent to answer spam calls and keep the caller on the line for as long as possible, so it ruins the unit economics of the spam call channel and forces the companies to stop doing it.

    12K47762763275K viewsView on X
  • Oct 11, 202630x their median

    We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case). I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves. We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them: "/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started" I imagine we'll have some backend services that could be replaced entirely by this new architecture.

    9.5K7946185431.6M viewsView on X
  • Aug 23, 202629x their median

    Bitcoin is ripping due to the largest short squeeze in bitcoin's history. But there are two other developments this week worth watching too... https://t.co/1K08Qv7Hen

    10K5482942218M viewsView on X
  • Oct 19, 202622x their median

    Elon Musk just announced he is going to donate over $10 billion by giving 1 share of SpaceX to every child born next year. The best part is he will donate it directly to each child without any non-profit or NGO being able to take a cut. Incredible gift done in a powerful way.

    7.7K35830926255K viewsView on X
  • Sep 8, 202620x their median

    Bitcoin had a great run over the last 30 days. But investors are not selling their public stocks to buy bitcoin, rather they are converting stablecoins into bitcoin which suggests there is much more appreciation to come. https://t.co/33CZFxcD1X

    7.3K3021391314M viewsView on X
  • Oct 12, 202620x their median

    October is the start of the 4th quarter. Real OGs know bitcoin shines in the 4th quarter. https://t.co/42IjnqE4Q0

    7.4K1898899.6M viewsView on X
  • Sep 14, 202620x their median

    Jensen Huang and Donald Trump just said on stage at the All-In Summit that they aren’t going to let the AI doomers slow down the AI industry. That’s it. It’s over. The doomers just lost. Didn’t even take 24 hours. Thanks for playing.

    6.9K56421226166K 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 380 interactions against 2.4M followers, an engagement rate of 0.016%. Measured over 175 original posts, its engagement rate beats 40% 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 76K times each, and 0.501% of those impressions turn into an interaction. That is about 3.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 8.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Wednesday is the busiest day of the week. Of the 175 posts sampled, 44% carry an image or video and 30% link out. The account's strongest tracked post pulled 84K interactions, about 221x its own typical post.

What is Anthony Pompliano 🌪's engagement rate on X?
Anthony Pompliano 🌪 (@APompliano) has an engagement rate of 0.016%, based on the median interactions across 175 original posts from the last 30 days against 2,437,617 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, Anthony Pompliano 🌪 sits above the 10th percentile of the 212,078 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 @APompliano have real engagement?
Its engagement rate beats 40% 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 @APompliano post?
Most posts go out around 13:00 UTC, and Wednesday is its busiest day, at roughly 8.63 posts per day across the measured window.

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