Brian D. Evans engagement report
@BrianDEvans - 1.3M followers on X
Measured over 3 original posts from a 30-day window, last computed on October 29, 2026.
Engagement
Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 873 interactions against 1.3M followers, an engagement rate of 0.067%. Posts are seen about 889K times each, and 0.098% of those impressions turn into an interaction. That is about 68.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 33% link out. The account's strongest tracked post pulled 70K interactions, about 68x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 3 original posts from a 30-day window, last computed on October 29, 2026.
Where this sits in the catalog
At 0.067%, Brian D. Evans sits above the 25th percentile of the 212,146 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
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 16:00 UTC, and Monday 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 33% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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.
- 33% 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 246 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, 202668x their median
never waste a good crisis https://t.co/yXxqE7xCMC
- Jun 23, 202630x their median
The world you were born in no longer exists https://t.co/KcRCc2abUD
- May 4, 202611x their median
You are your own worst enemy. You waste precious time dreaming of the future instead of engaging in the present. Since nothing seems urgent to you, you are only half involved in what you do. The only way to change is through action and outside pressure.
- Jun 13, 202618x their median
Nobody teaches you that discipline feels like punishment until the results start feeling like freedom
- Jun 14, 202618x their median
How to Earn a Billion Dollars: https://t.co/WeWBUkKym6
- Jun 27, 202611x their median
.@danawhite says one of the keys to longevity is to block out all negativity: “It never even crosses my mind that something's not going to work. I just keep going until it does work.” “There's this Bruce Lee quote where he says, ‘Never say negative things about yourself or what you're working on even if you're joking, because your body doesn't know the difference.’” “I never take in any negativity.”
- Oct 22, 202610x their median
AI isn't making everyone better. It's making a small group of people ridiculously hard to compete with. https://t.co/H8Qzd0OWbx
- Jul 28, 20269.3x their median
Game theory explains why improving yourself rarely fixes your outcomes. People keep treating their own skills and discipline as a dominant variable because it's the one they can consciously control. They end up running never-ending optimizations but leave the whole structure around them untouched. Suddenly, they are the shiniest object in the room, but it gets them nowhere. That's because a diamond in the mud is still part of the mud. Cleaning it and putting it back to where you found it changes absolutely nothing. Hence, you must change the structure. Swipe the whole room clean; toss out the junk. Ask yourself which environment converts what you already have into a return and what it would cost to move there. Don't spend a decade improving yourself while covered in filth. The structure around you either works for you or against you. There is no middle ground.
- Mar 15, 20266.6x their median
My conversation with Marc Andreessen (@pmarca), co-founder of @a16z and Netscape. 0:00 Caffeine Heart Scare 0:56 Zero Introspection Mindset 3:24 Psychedelics and Founders 4:54 Motivation Beyond Happiness 7:18 Tech as Progress Engine 10:27 Founders Versus Managers 20:01 HP Intel Founder Legacy 21:32 Why Start the Firm 24:14 Venture Barbell Theory 28:57 JP Morgan Boutique Banking 30:02 Religion Split Wall Street 30:41 Barbell of Banking 31:42 Allen & Company Model 33:16 Planning the VC Firm 33:45 CAA Playbook Lessons 36:49 First Principles vs. Status Quo 39:03 Scaling Venture Capital 40:37 Private Equity and Mad Men 42:52 Valley Shifts to Full Stack 45:59 Meeting Jim Clark 48:53 Founder vs. Manager at SGI 54:20 Recruiting Dinner Story 56:58 Starting the Next Company 57:57 Nintendo Online Gamble 58:33 Building Mosaic Browser 59:45 NSFnet Commercial Ban 1:01:28 Eternal September Shift 1:03:11 Spam and Web Controversy 1:04:49 Mosaic Tech Support Flood 1:07:49 Netscape Business Model 1:09:05 Early Internet Skepticism 1:11:15 Moral Panic Pattern 1:13:08 Bicycle Face Story 1:14:48 Music Panic Examples 1:18:12 Lessons from Jim Clark 1:19:36 Clark Versus Barksdale 1:21:22 Tesla Versus Edison 1:23:00 Edison Digression Setup 1:23:13 AI Forecasting Myths 1:23:43 Edison Phonograph Lesson 1:25:11 Netscape Two Jims 1:29:11 Bottling Innovation 1:31:44 Elon Management Code 1:32:24 IBM Big Gray Cloud 1:37:12 Engineer First Truth 1:38:28 Bottlenecks and Speed 1:42:46 Milli Elon Metric 1:47:20 Starlink Side Project 1:49:10 Closing Includes paid partnerships.
- Jul 30, 20266.4x their median
The scariest part isn't that you haven't started. It's that you've convinced yourself you have.
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 873 interactions against 1.3M followers, an engagement rate of 0.067%. Posts are seen about 889K times each, and 0.098% of those impressions turn into an interaction. That is about 68.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 33% link out. The account's strongest tracked post pulled 70K interactions, about 68x its own typical post. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Brian D. Evans's engagement rate on X?
- Brian D. Evans (@BrianDEvans) has an engagement rate of 0.067%, based on the median interactions across 3 original posts from the last 30 days against 1,299,820 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.067%, Brian D. Evans sits above the 25th percentile of the 212,146 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 @BrianDEvans have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @BrianDEvans post?
- Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.17 posts per day across the measured window.