Master.dev (Formerly Frontend Masters) engagement report
@MasterDotDev - 133K followers on X
Measured over 35 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 20 interactions against 133K followers, an engagement rate of 0.015%. Measured over 35 original posts, its engagement rate beats 22% of 15,519 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 4.4K times each, and 0.458% of those impressions turn into an interaction. That is about 3.28% 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, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 60% carry an image or video, 6% are part of a thread and 89% link out. The account's strongest tracked post pulled 251 interactions, about 13x its own typical post.
Measured over 35 original posts from a 30-day window, last computed on September 30, 2026.
Compared with accounts its own size
Master.dev (Formerly Frontend Masters)'s engagement rate beats 22% of the tracked X accounts closest to it in follower count (15,519 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 22% 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 0.015%, Master.dev (Formerly Frontend Masters) sits above the 10th percentile of the 157,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 19:00 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 | 60% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 89% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 60% 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.
- 89% 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 234 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
- Sep 15, 202613x their median
What are devs learning right now? 👀 https://t.co/0otyIv0dK8
- Sep 4, 202610x their median
React Now Rusted All The Way Out The transition to the Rust version of the React Compiler for the 1,036-file React Router codebase resulted in a significant speed increase, improving build times from 14.3 seconds to 0.81 seconds. The new compiler addresses previous limitations and e https://t.co/v7WIJnMrQB
- Sep 17, 20268.9x their median
This is how Will Sentance describes Juniors/Mids/Seniors: Junior - solves familiar problems with familiar tools. Mid - solves new problems with new tools. Senior - enables others to do the same. https://t.co/Pgkv0dyXPa
- Sep 16, 20264.3x their median
Local AI offers privacy, offline access, lower costs, and lets you create a free coding environment that no vendor can rate-limit, reprice, or switch off. Find out how to get started in our new course from @DevSimplified https://t.co/wZVuLQSiqq https://t.co/ih1Pr8ycH6
- Sep 16, 20262.9x their median
We’ve expanded our AI learning paths: 💻 Coding with AI: Start with AI fundamentals, then improve your development workflow with tools like Codex, Claude Code, and local models. 🏗️ AI Engineering: Build the skills to create reliable, production-ready AI systems with agents, MCP, evals, and orchestration. https://t.co/Q0SUmygOSi
- Sep 1, 20262.5x their median
Use TypeScript's ReturnType utility to infer the type from your function instead of copying it by hand. From our TypeScript in the Age of AI course with @AdamRackis https://t.co/xcjVrAYwac https://t.co/3Lz6qpBTyE
- Sep 9, 20262.4x their median
Building a Reliable PostgreSQL Queue: Concurrency, Crashes, Retries, and Scale We get into building a background task processor using PostgreSQL. It seems easy at first, but there are lots of pitfalls as a system like this scales. https://t.co/gt1FrbT6Zd
- Sep 23, 20262.4x their median
Introducing Solo A versatile tool for managing coding projects, integrating multiple terminals and AI agents within a single control panel. https://t.co/Y5SrWg84w2
- Sep 2, 20262.1x their median
New Things You Should Know About HTML Here in Mid 2026 The foundational language of the web is getting plenty of love lately! While HTML moves a bit more slowly than its buddies, CSS and JavaScript, that tends to be a good thing. I'm not gonna do, like, in here. That's too basic for you. Tha https://t.co/Fw6FKFBHxJ
- Sep 9, 20261.9x their median
“So don't tell me you can't have fun with Kubernetes locally. You don't need to go out and spend a tone of money on a cloud cluster. You literally havea n autoscaler right here...and we're not done." 👨🍳 @thealtf4stream was cookin' in his new Kubernetes course https://t.co/sm9JPGMzes
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 20 interactions against 133K followers, an engagement rate of 0.015%. Measured over 35 original posts, its engagement rate beats 22% of 15,519 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 4.4K times each, and 0.458% of those impressions turn into an interaction. That is about 3.28% 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, with activity on roughly 70% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 60% carry an image or video, 6% are part of a thread and 89% link out. The account's strongest tracked post pulled 251 interactions, about 13x its own typical post.
- What is Master.dev (Formerly Frontend Masters)'s engagement rate on X?
- Master.dev (Formerly Frontend Masters) (@MasterDotDev) has an engagement rate of 0.015%, based on the median interactions across 35 original posts from the last 30 days against 133,234 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.015%, Master.dev (Formerly Frontend Masters) sits above the 10th percentile of the 157,374 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 @MasterDotDev have real engagement?
- Its engagement rate beats 22% of the tracked X accounts closest to it in follower count (15,519 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 @MasterDotDev post?
- Most posts go out around 19:00 UTC, and Wednesday is its busiest day, at roughly 1.57 posts per day across the measured window.