Sarah Drasner engagement report
@sarah_edo - 306K followers on X
Measured over 13 original posts from a 30-day window, last computed on October 17, 2026.
Engagement
A typical post picks up 225 interactions against 306K followers, an engagement rate of 0.074%. Measured over 13 original posts, its engagement rate beats 53% 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 14K times each, and 1.61% of those impressions turn into an interaction. That is about 4.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 62% carry an image or video, 38% are part of a thread and 15% link out. The account's strongest tracked post pulled 11K interactions, about 50x its own typical post.
Measured over 13 original posts from a 30-day window, last computed on October 17, 2026. Recurring tag: #enable.
Compared with accounts its own size
Sarah Drasner's engagement rate beats 53% of the tracked X accounts closest to it in follower count (20,444 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 56% 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 0.074%, Sarah Drasner sits above the 25th percentile of the 204,956 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 | 0.678% |
| 90th percentile | 2.55% |
| 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 13:00 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 | 62% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 62% 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.
- 15% 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 344 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
- Oct 9, 202650x their median
I have discovered $50 amazon photo frames to be the PERFECT home display screen They can be rooted, updated to run a modern browser, have WiFi and can be powered from USB 1280×800 resolution with a nice touch screen I detailed how to hack these yourself in my latest video https://t.co/QhIiKjlf9N
- Sep 1, 202625x their median
Introducing CleanShot 5.0 ✨ The new Studio Mode is all you need to turn a simple screen recording into a polished, professional video - with the quality you expect from CleanShot. Available now on all plans. No subscription required. https://t.co/IYlvSY2rar
- Apr 8, 202612x their median
📣 After nearly 5 fulfilling years leading Core infrastructure organizations for Google, I’m thrilled to share that I’ve taken on a new role! I’m going back to IC work as a Distinguished Engineer- my new role is in Chrome as Area Tech Lead, AI Web Ecosystem! 💥 The rise of AI is driving a fundamental sea change in web architecture. While this era promises immense innovation, it demands rigorous focus on security, privacy, and user observability. AI is a technology. It must be integrated with the same deliberate care as the major technological shifts that preceded it. In this new role, I’ll be working alongside world-class colleagues to redefine the web platform for an AI-first runtime. My mission is to architect a composable web that enables safe, standardized, and mutually beneficial interactions between creators, users, and AI agents. With this transition, I am moving from leading large organizations back to the IC track. I’ve swung this "managerial pendulum" several times in my career, and I’m energized to return to deep technical work at a moment that so clearly demands it. I'm also excited to be working with/for web legends like @laparisa @jimbankoski @paul_irish @RickByers @Paul_Kinlan @groby @mathias @bmeurer @fractorious and so many more! 💥
- Aug 8, 20269.5x their median
My son did his first open source contribution ❤️
- Sep 16, 20265.9x their median
Agent: *screenshots the page* Agent: *scrolls* Agent: *screenshots again* Agent: *clicks the wrong button* Agent: *screenshots again* Page with WebMCP: hi, here are the 4 things you can do here, with descriptions Agent: oh thank god
- Sep 21, 20265.6x their median
🎇 I made a small Chrome extension: a side panel that drives any site's WebMCP tools with Jev! When you type, on every keystroke it picks the relevant page's tool, fills in the arguments, and tells you how sure it is. Here it is grocery shopping: https://t.co/J6PKk81Lt8
- Oct 13, 20262.5x their median
Let's talk a little more about Margaret Hamilton because she deserves it In 1961, Margaret Hamilton was tackling massive systems, having previously wrangled room-sized computers that blared like a foghorn whenever they crashed. Her fix wasn’t just to patch the bug. Everytime there was a crash, she took a Polaroid of the programmer who wrote it, and a note on the mistake. That way, if it ever happened again, they wouldn't be starting from scratch. They could note patterns and the last person who triaged that failure could help. This is a critical aspect of what she gave us. She didn’t stop at fixing errors. She studied their patterns so she could see them coming. She called them “the enemy,” and she meant it. Initially, when she was working on failure modes, higher-ups were errors wouldn't happen she actually named her program “Forget It.” But failures did happen. And her mindset, and discipline sent men to the Moon. Her Apollo software was built to expect the unexpected, and on Apollo 11 it recognized an overload mid-landing and kept the critical tasks running. Every postmortem, every bug tracker, every “let’s make sure this never happens again” carries a little of her in it. Thank you, and rest in peace, Margaret Hamilton 🚀
- Sep 28, 20262.3x their median
I made a site to explain System One thinking (Jev is an example of this)! We make fast judgments all day, some models can too. The guide explains how to use those quick judgments in software. In my typical way, it leverages interactive animations, and Night Owl 🦉 https://t.co/IiTL5VLUFn
- Sep 12, 20262.1x their median
Me writing a prompt directly into my terminal, forgetting to say "claude", "gemini", etc Bash: https://t.co/TfTsTCtRor
- Sep 19, 20262.0x their median
"why do you still draw if AI can do it for you?" "why would you still assemble a PC" because some things I do for fun, creative outlets, and flow state I use AI to make my life easier, not to replace the joy
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 225 interactions against 306K followers, an engagement rate of 0.074%. Measured over 13 original posts, its engagement rate beats 53% 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 14K times each, and 1.61% of those impressions turn into an interaction. That is about 4.56% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 62% carry an image or video, 38% are part of a thread and 15% link out. The account's strongest tracked post pulled 11K interactions, about 50x its own typical post.
- What is Sarah Drasner's engagement rate on X?
- Sarah Drasner (@sarah_edo) has an engagement rate of 0.074%, based on the median interactions across 13 original posts from the last 30 days against 305,824 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.074%, Sarah Drasner sits above the 25th percentile of the 204,956 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 @sarah_edo have real engagement?
- Its engagement rate beats 53% 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 @sarah_edo post?
- Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.83 posts per day across the measured window.