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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.694% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 44% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 30% 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
- Aug 26, 202663x their median
Nvidia is doing $1 billion in revenue PER DAY. Insane.
- 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
- 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.
- 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.
- 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
- 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.
- 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
- 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
- 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.
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.