Andrew Wilkinson engagement report
@awilkinson - 392K followers on X
Measured over 16 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 352 interactions against 392K followers, an engagement rate of 0.09%. Measured over 16 original posts, its engagement rate beats 69% 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 83K times each, and 0.426% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 16 posts sampled, 13% carry an image or video and 6% link out. The account's strongest tracked post pulled 4.5K interactions, about 13x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on September 30, 2026.
Compared with accounts its own size
Andrew Wilkinson's engagement rate beats 69% of the tracked X accounts closest to it in follower count (20,444 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 28% 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 0.09%, Andrew Wilkinson sits above the 25th percentile of the 205,582 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 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 18:00 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 | 13% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 6% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 13% 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.
- 6% 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 332 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
- Jul 21, 202613x their median
Today we're releasing Laguna S 2.1, our most capable model to date. It's a 118B total parameter Mixture-of-Experts model with 8B activated per token, a context window of up to 1M tokens, and thinking and no-thinking modes. Capable enough to hold its own against models many times its size. Small enough to run on a single @NVIDIAAI DGX Spark. Laguna S 2.1 is fully open under OpenMDW-1.1, with weights available today on @huggingface https://t.co/xxGeAgo35R
- May 9, 20257.6x their median
This guy from The Netherlands emailed me asking if I'd come on his podcast. I didn't want to, so I used my usual line: "I'll only do it in person in Victoria." Welp, the SOB called my bluff. Flew 12 hours, mic in hand. Well played, @WouterTeunissen. It turned out great: https://t.co/R4zPOzLblp
- Jul 18, 20265.9x their median
https://t.co/y17nfoH19a
- Aug 3, 20263.8x their median
Sam (@sama), I love Codex. But there's this one really dumb/subtle problem. Claude Code FEELS faster. I think this is primarily because as it does each thing, it immediately slams a text update into the terminal/app, whereas Codex keeps everything contained/compressed into a line that has that little side to side fade effect. It's almost like chain of thought - you were doing it in ChatGPT just not showing it, and when you added it people felt like it was smarter/faster. I think it would be worth adding a more verbose mode / experimenting with revealing more of what Codex is doing so that you viscerally feel it ripping.
- Jul 31, 20263.4x their median
“Never forget the six-foot-tall man who drowned crossing the stream that was five feet deep on average.” ― Howard Marks
- Sep 5, 20263.4x their median
I checked my Codex billing dashboard after 6 hours of obsessive Astra Ultra use and immediately threw up a little bit of blood.
- Sep 28, 20262.8x their median
Think about it: GrokBot, Instinct, and Muse JUST caught up with the functionality of OpenClaw. Just imagine what @steipete and @sama have in store tomorrow. They're 6 months ahead of everyone.
- Sep 10, 20262.3x their median
I lied to my kids. https://t.co/00Qp9QvOsT
- Aug 31, 20262.1x their median
Cold emails should look COLD. If it looks: 1. Like a template 2. Like it will take more than 15 seconds to read You are screwed. My best one of all time, that I would send to founders of startups when I was running @Metalab, my design agency: "love what you guys are doing, we should work together." That's it. 60% response rate.
- Sep 13, 20262.1x their median
For the past few days I've been using Instinct, the text message assistant that just raised at a $2.5 BILLION valuation. It's an exceptional product, and the most proactive personal assistant agent I've used. But it's doomed and their investors are going to lose all their money. It's a perfect example of feature not a product. The moment that OpenAI or Anthropic launches an integrated iMessage agent, it's game over. Why would I want a personal assistant that doesn't have access to the memory/knowledge graph I've standardized on? But who knows - maybe I'm wrong. Would love to hear the counter arguments. So curious how their investors got there.
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 352 interactions against 392K followers, an engagement rate of 0.09%. Measured over 16 original posts, its engagement rate beats 69% 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 83K times each, and 0.426% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 16 posts sampled, 13% carry an image or video and 6% link out. The account's strongest tracked post pulled 4.5K interactions, about 13x its own typical post.
- What is Andrew Wilkinson's engagement rate on X?
- Andrew Wilkinson (@awilkinson) has an engagement rate of 0.09%, based on the median interactions across 16 original posts from the last 30 days against 392,234 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.09%, Andrew Wilkinson sits above the 25th percentile of the 205,582 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 @awilkinson have real engagement?
- Its engagement rate beats 69% 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 @awilkinson post?
- Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 1.73 posts per day across the measured window.