chad fowler engagement report
@chadfowler - 305K followers on X
Measured over 13 original posts from a 30-day window, last computed on September 5, 2026.
Engagement
A typical post picks up 26 interactions against 305K followers, an engagement rate of 0.009%. Measured over 13 original posts, its engagement rate beats 24% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.1K times each, and 0.511% of those impressions turn into an interaction. That is about 1.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 13 posts sampled, 31% carry an image or video and 54% link out. The account's strongest tracked post pulled 1.2K interactions, about 48x its own typical post.
Measured over 13 original posts from a 30-day window, last computed on September 5, 2026.
Compared with accounts its own size
chad fowler's engagement rate beats 24% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 30% 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 0.009%, chad fowler sits above the 10th percentile of the 68,576 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.5% |
| 90th percentile | 2.09% |
| 99th percentile | 116.4% |
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 Friday 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 | 31% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 54% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 31% 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.
- 54% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 186 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
- Aug 28, 202648x their median
macbooks having 4g connection and not fall asleep when closed would contribute billions to gdp from agents running more
- Jul 31, 20268.0x their median
I'm excited to share the early access release of my upcoming book, Regenerative Software, which will be released in full early next year by O'Reilly, one of my all time favorite tech publishers! As a self-taught developer, I learned a lot of what was foundational to my career from early O'Reilly books on UNIX, Perl, sed, awk, etc. Thrilled to finally have one of these animal covers with my name on it. (link in thread)
- Mar 18, 20264.7x their median
https://t.co/7LaD9PM2P9
- Aug 27, 20263.1x their median
I have long argued that software components should be tiny: small enough to understand, change, or throw away. This paper suggests something I hadn’t considered then: The developers can be tiny too. 1,000+ finite-lived agents build a 250K-line compiler. The project persists. The programmers don’t. https://t.co/2pJd6C2hLX
- Aug 25, 20263.1x their median
If you can reliably tell whether generated software is correct, secure, fast, and architecturally sound, you can care a lot less about how it was generated. The stronger the verification, the more the generator becomes a commodity. Interesting new paper in this direction: https://t.co/t4VATAsWRM
- Aug 28, 20262.2x their median
Who is doing the best work you've seen on understanding GTM for agent-centric software and tools? SEO is dead, and the landscape is changing rapidly. I'd love to gather some smart folks in this area for a chat.
- Aug 27, 20261.6x their median
When you are automatic code, having CSS/JS budgets are a handy trick for avoiding long term rot, once you hit a set limit ... get agents to prune https://t.co/yOgtiwVzQG
- Sep 1, 2026
This album comes out this Sunday. It's one of the most meaningful releases of my music career. Something for everyone here I hope. ♥️ https://t.co/NRE2C9BVoO
- Aug 12, 2026
Our latest Canonical Labs project: AEO Readiness See how discoverable you are to various LLMs. https://t.co/jMj8v7ack2
- Aug 28, 2026
🤖evals are devrel🤖
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 26 interactions against 305K followers, an engagement rate of 0.009%. Measured over 13 original posts, its engagement rate beats 24% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.1K times each, and 0.511% of those impressions turn into an interaction. That is about 1.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 13 posts sampled, 31% carry an image or video and 54% link out. The account's strongest tracked post pulled 1.2K interactions, about 48x its own typical post.
- What is chad fowler's engagement rate on X?
- chad fowler (@chadfowler) has an engagement rate of 0.009%, based on the median interactions across 13 original posts from the last 30 days against 305,244 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.009%, chad fowler sits above the 10th percentile of the 68,576 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 @chadfowler have real engagement?
- Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the bottom quarter for its size 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 @chadfowler post?
- Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 1.63 posts per day across the measured window.