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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
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.
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 | 47% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% 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.
- Oct 8, 20267.1x their median
Iβm a little embarrassed to post this since everyone else probably already knew, but @adamwathan just told me about this command: ππππππππ -ππππππππ·πππ π ππππ -π π°πππππ΅ππππππππππππ -πππ 0 Log out and back in. I've basically been living with a blurry film over my XDR display for years. π
- 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.
- Oct 12, 20264.1x their median
I donβt really believe in βportingβ Laravel to Rust, Go, TypeScript, or anything else, and I wouldnβt describe my Rust experiments that way. Iβm 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 wouldnβt make it into a Rust / Go / TypeScript version at all, and Iβd solve some problems in entirely different ways. A blind β/goal port this to Rustβ is naive imo. It misses the point and it misses the opportunity.
- Oct 5, 20263.8x their median
Ready for the Rust meet-up π https://t.co/Sgv33iYQ7w
- Oct 7, 20263.5x their median
Iβve been coding until midnight every day since Saturday and let me tell you it hits a bit different when youβre 40 vs. when I was 24. π¬ No sleep until Omega. Probably not after either.
- Oct 3, 20263.1x their median
Opus 5.5 one-shot of an @inertiajs adapter for Axum (Rust HTTP router). Axum + Inertia + React βοΈ https://t.co/GnINmUr0o4
- Oct 8, 20262.7x their median
Iβm joining @laravel! Taking some time off before I start, but come November Iβll be back at my keyboard pushing the boundaries of beautiful web content for you on one of the most incredible teams in the industry. Canβt wait! π https://t.co/iA4FWnepRA
- 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. Itβs 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.
- Jun 1, 20262.7x their median
https://t.co/0EbvifgC6a
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.