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Taylor Otwell engagement report

@taylorotwell - 186K followers on X

Measured over 36 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Middle of its size range
Per follower
0.147%
of 186K followers
Per impression
1.34%
20K views on a typical post
Reach
11.0%
of its followers see a post
Typical post
274
interactions (median)
Saved
0.066%
14 bookmarks on a typical post
Posting rate
2.6/day
active 53% of days
Peak time
20:00 UTC
Wednesday

A typical post picks up 274 interactions against 186K followers, an engagement rate of 0.147%. Measured over 36 original posts, its engagement rate beats 67% of 20,183 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 20K times each, and 1.34% of those impressions turn into an interaction. That is about 11.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 36 posts sampled, 47% carry an image or video, 6% are part of a thread and 14% link out. The account's strongest tracked post pulled 2.5K interactions, about 9.1x its own typical post.

Measured over 36 original posts from a 30-day window, last computed on October 14, 2026.

Compared with accounts its own size

Taylor Otwell's engagement rate beats 67% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 9 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 51% 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 0.147%, Taylor Otwell sits above the 50th percentile of the 202,259 accounts in this comparison. That places it in the above the median band, which runs 0.142% to 0.672%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.024%
50th percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 20:00 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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 video47% of posts+111%+108% to +115%34K
Outbound link14% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 47% 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.
  • 14% 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 156 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Sep 8, 20269.1x their median

    When it comes to *mass adoption*, personal AI assistants (Instinct / Muse, etc.) are solutions looking for a problem imo. The vast majority of people in the world do not have a life sufficiently complex to warrant agentic orchestration.

    2.2K13714048101K viewsView on X
  • Oct 8, 20267.1x their median

    I’m a little embarrassed to post this since everyone else probably already knew, but @adamwathan just told me about this command: πšπšŽπšπšŠπšžπš•πšπšœ -πšŒπšžπš›πš›πšŽπš—πšπ™·πš˜πšœπš πš πš›πš’πšπšŽ -𝚐 π™°πš™πš™πš•πšŽπ™΅πš˜πš—πšπš‚πš–πš˜πš˜πšπš‘πš’πš—πš -πš’πš—πš 0 Log out and back in. I've basically been living with a blurry film over my XDR display for years. 😭

    1.8K55447367K viewsView on X
  • Sep 10, 20267.0x their median

    Before AI, I wrote Laravel's docs for humans... enough technical depth to teach without overwhelming you, documenting primarily common cases over edge cases. Progressively revealing complexity. Post-AI, I'm adding more detail and examples than I would previously. Not excessively, but I'm writing for agents as my primary audience at this point. I pretty much have the assumption human eyes will never touch these docs in the future. I weirdly find this exciting - humans skip sections and miss details, but now I know every doc improvement I make directly translates to better AI-generated Laravel code.

    1.7K881071467K viewsView on X
  • Oct 12, 20264.1x their median

    I don’t really believe in β€œporting” Laravel to Rust, Go, TypeScript, or anything else, and I wouldn’t describe my Rust experiments that way. I’m treating it as a chance to experiment with something spiritually similar to Laravel: strong conventions (for agents), full-stack solutions to common web development needs, and familiar APIs, but designed from first principles around what makes sense in that language, and in a world where humans no longer read or write code by hand. Some features of classical Laravel wouldn’t make it into a Rust / Go / TypeScript version at all, and I’d solve some problems in entirely different ways. A blind β€œ/goal port this to Rust” is naive imo. It misses the point and it misses the opportunity.

    1.0K34621258K viewsView on X
  • Oct 5, 20263.8x their median

    Ready for the Rust meet-up 😌 https://t.co/Sgv33iYQ7w

    9781346638K viewsView on X
  • Oct 7, 20263.5x their median

    I’ve been coding until midnight every day since Saturday and let me tell you it hits a bit different when you’re 40 vs. when I was 24. 😬 No sleep until Omega. Probably not after either.

    8701460438K viewsView on X
  • Oct 3, 20263.1x their median

    Opus 5.5 one-shot of an @inertiajs adapter for Axum (Rust HTTP router). Axum + Inertia + React βš™οΈ https://t.co/GnINmUr0o4

    7594151957K viewsView on X
  • Oct 8, 20262.7x their median

    I’m joining @laravel! Taking some time off before I start, but come November I’ll be back at my keyboard pushing the boundaries of beautiful web content for you on one of the most incredible teams in the industry. Can’t wait! 😁 https://t.co/iA4FWnepRA

    6351891851K viewsView on X
  • Oct 12, 20262.7x their median

    This morning I wrote 12,000 lines of code, planned our entire family fall trip to DC, and reviewed and shipped docs. But it just feels like an average morning. It’s so easy to become numb to the velocity AI gives you and what would've felt like a miracle a year ago now just feels like a regular Monday.

    6791942234K viewsView on X
  • Jun 1, 20262.7x their median

    https://t.co/0EbvifgC6a

    621732323187K 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 274 interactions against 186K followers, an engagement rate of 0.147%. Measured over 36 original posts, its engagement rate beats 67% of 20,183 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 20K times each, and 1.34% of those impressions turn into an interaction. That is about 11.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 36 posts sampled, 47% carry an image or video, 6% are part of a thread and 14% link out. The account's strongest tracked post pulled 2.5K interactions, about 9.1x its own typical post.

What is Taylor Otwell's engagement rate on X?
Taylor Otwell (@taylorotwell) has an engagement rate of 0.147%, based on the median interactions across 36 original posts from the last 30 days against 186,132 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.147%, Taylor Otwell sits above the 50th percentile of the 202,259 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 @taylorotwell have real engagement?
Its engagement rate beats 67% of the tracked X accounts closest to it in follower count (20,183 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 @taylorotwell post?
Most posts go out around 20:00 UTC, and Wednesday is its busiest day, at roughly 2.6 posts per day across the measured window.

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