Brian Stoffel engagement report
@Brian_Stoffel_ - 144K followers on X
Measured over 16 original posts from a 30-day window, last computed on September 27, 2026.
Engagement
A typical post picks up 30 interactions against 144K followers, an engagement rate of 0.021%. Measured over 16 original posts, its engagement rate beats 29% 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 8.7K times each, and 0.352% of those impressions turn into an interaction. That is about 6.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 56% carry an image or video, 50% are part of a thread and 13% link out. The account's strongest tracked post pulled 3.8K interactions, about 127x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on September 27, 2026.
Compared with accounts its own size
Brian Stoffel's engagement rate beats 29% of the tracked X accounts closest to it in follower count (20,444 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 19% 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 0.021%, Brian Stoffel sits above the 10th percentile of the 206,310 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 | 0.143% |
| 75th percentile | 0.68% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
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 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.
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 | 56% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 13% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 56% 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 324 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
- Jan 8, 2023127x their median
The most necessary skill in finance: How to analyze... ▪️Balance Sheet ▪️Income Statement ▪️Cash Flow Statement Even though many professionals pay $100K for an MBA or accounting class, many can't do this. Instead, here's an outline for analyzing all 3 in just 5 minutes: https://t.co/c7aQcCUtjK
- Aug 31, 202611x their median
The Investor’s Curse The strange thing about investing is that the closer you get to winning, the easier it becomes to forget what winning was supposed to mean. In the beginning, you invest to become free. If you are successful enough, you can eventually spend your entire life worrying about the thing that was supposed to set you free. This is the investor’s curse: the same wealth that increases your ability to take risk can destroy your ability to tolerate it. Someone with $10m can afford to lose $1m far more easily than someone with $100k can afford to lose $10k, yet the first loss may feel infinitely more painful. Risk is experienced in dollars even when it should be understood in consequences. Success can even make your greatest investment feel like your greatest danger. The company that created your wealth becomes too large and too important to hold comfortably. Nothing about the business changed, but its success transformed it from an opportunity you hoped would work into an asset you are terrified to lose. So you diversify, but diversification introduces a risk rarely found in textbooks. You sell the few businesses you understand deeply and replace them with many you understand less, exchanging visible concentration for invisible ignorance. The portfolio may look safer while the quality of your judgment quietly declines. Then comes the most seductive trap which is believing every dollar must remain productive forever. The first $1m might buy freedom and the next few might buy security, but eventually another $1m becomes little more than a larger number on a screen. Yet many investors risk the freedom they already have to pursue money they may never meaningfully experience. Perhaps wealth should eventually change the question. Early on, the question is how much you can make, but later it should become how little of your life must remain controlled by money. If your portfolio can fall 50% without changing how your family lives or what you are free to do, the decline may be financially enormous while being practically irrelevant. The final stage of investing is not learning how to take more risk or eliminate it completely. It is learning which portion of your wealth no longer needs to participate in the contest. The greatest investors know how to compound capital, but the wisest eventually learn when capital has compounded enough. 🌹
- Aug 12, 20265.9x their median
I totally get that they're competing for the same investment dollars, but the way that $SE, $MELI, $AXON, etc sell off when the AI infra stack goes up is so odd. These are not dyametrically opposed (maybe a little components for $AXON, but really...)
- Aug 19, 20265.2x their median
It seems like $DUOL narrative is shifting before our eyes. Thanks-in part- to a power point accident
- Aug 26, 20264.8x their median
$NVDA just said it sees FY 2028 rev growing by 70%. Analysts had been looking for 44% 🤯
- Sep 9, 20264.5x their median
Maybe, just maybe, Zuck knew what he was up to this time. $META https://t.co/5zRl2hI8TD
- Aug 11, 20264.5x their median
I now have a new largest position
- Aug 11, 20263.0x their median
Sleep on $CAVA if you wish. But stacking these comps (9% same store growth) on top of each other, with surges in traffic (+5.3%), is very impressive.
- Sep 2, 20262.8x their median
Credo is down 20% today. It's a new watchlist company for me, so here's my take $CRDO https://t.co/Bp00FHeFIt
- Aug 12, 20262.2x their median
This would probably be the first stock I'd buy right now if I was starting from scratch https://t.co/HZz9XaQjJR
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 30 interactions against 144K followers, an engagement rate of 0.021%. Measured over 16 original posts, its engagement rate beats 29% 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 8.7K times each, and 0.352% of those impressions turn into an interaction. That is about 6.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 56% carry an image or video, 50% are part of a thread and 13% link out. The account's strongest tracked post pulled 3.8K interactions, about 127x its own typical post.
- What is Brian Stoffel's engagement rate on X?
- Brian Stoffel (@Brian_Stoffel_) has an engagement rate of 0.021%, based on the median interactions across 16 original posts from the last 30 days against 143,645 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.021%, Brian Stoffel sits above the 10th percentile of the 206,310 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 @Brian_Stoffel_ have real engagement?
- Its engagement rate beats 29% 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 @Brian_Stoffel_ post?
- Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 0.97 posts per day across the measured window.