JetBrains engagement report
@jetbrains - 215K followers on X
Measured over 17 original posts from a 30-day window, last computed on October 4, 2026.
Engagement
A typical post picks up 48 interactions against 215K followers, an engagement rate of 0.022%. Measured over 17 original posts, its engagement rate beats 34% 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 8.6K times each, and 0.555% of those impressions turn into an interaction. That is about 4.02% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 94% carry an image or video, 12% are part of a thread and 35% link out. The account's strongest tracked post pulled 533 interactions, about 11x its own typical post.
Measured over 17 original posts from a 30-day window, last computed on October 4, 2026.
Compared with accounts its own size
JetBrains's engagement rate beats 34% 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 28% 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 0.022%, JetBrains sits above the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 14:00 UTC, and Thursday 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 | 94% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 35% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 94% 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.
- 35% 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 280 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
- Sep 29, 202611x their median
GPT-6.1 Sol is out! Our colleague @kristel_tech asked GPT-6 Sol and GPT-6.1 Sol to "Build a cinematic, photorealistic rocket launch scene using Three.js" GPT-6.1 Sol: $0.553 | 17 mins GPT-6 Sol: $1.01 | 22 mins Try it in JetBrains Air or Junie. @OpenAIDevs https://t.co/okJbuTl7zf
- Oct 1, 20268.6x their median
We've reimagined JetBrains IDEs to become the ultimate agentic workbench. Air is an open hub for agents inside your IDE: -Any agents to run (Claude, Codex & many more) -Agents are more efficient with IDE intelligence -Free Junie Lite agent bundled -Cloud runs via Air Teams ⬇️ https://t.co/9s0vpvyL6z
- Jul 30, 20268.2x their median
We tested the RTK agent skill, which promises 60–90% token savings. See what our testing revealed and tell us what to test next. We even got a response from the maintainer, who confirmed that a fix is coming soon! 🙌 https://t.co/h4e3C8Bhw8 https://t.co/NJf6f5BqdO
- Sep 10, 20266.5x their median
Jake Wharton refuses to code with AI. When he left Cash App, he published nine requirements for his next job. Number one was: No AI. Our full conversation with the legendary Android developer is out now: layoffs, AI, Google and Kotlin in 2026. https://t.co/cF5TxO3sxt
- Sep 13, 20266.3x their median
The tools have evolved, the possibilities have expanded, the questions have become more challenging... and we're embracing it with the same creative spirit. Happy Programmer’s Day to the people building what's next! https://t.co/thTPwWW2Kt
- Aug 4, 20265.0x their median
Your project runs on Markdown now, and we're giving it the tooling it deserves 👀 Get the first look at agentic markdown support in JetBrains IDEs. Join the waitlist → https://t.co/UfAFPnXlSz https://t.co/7RQgbA7wFO
- Aug 10, 20264.6x their median
Figma Connect for WebStorm is now available. Set it up once, and enjoy a seamless IDE integration maintained with every WebStorm release. Select any layer from your @Figma file, get the full design spec in your IDE, and pass it straight to your AI agent: component hierarchy, spacing, and design variables – all from the source. Your agent implements from the actual spec instead of approximating your design system. This is the first stage of a visual design-to-code workflow in @WebStormIDE. There’s more to come. Check it out: https://t.co/fHXgMEjfPA
- Aug 3, 20264.5x their median
KotlinLLM is now open source! 🚀 It's a research prototype that lets you delegate logic to an LLM at runtime as explicit, persistent, and portable Kotlin code. The code evolves as your app encounters new scenarios during development and runs as plain Kotlin once generated. Learn more 👉 https://t.co/O71OERFwQ8 Explore it on GitHub 👉 https://t.co/Jj9XuDOKjt
- Sep 22, 20264.2x their median
This product video was generated entirely by Claude Opus 5.5. Our colleague @kristel_tech gave it @HeyGen’s HyperFrames skills and pointed it at https://t.co/yShoSTdQq3 – out came this Kotlin promo. Try it in JetBrains Air or Junie. https://t.co/SIzJCdvFjZ
- Aug 14, 20263.9x their median
Same prompt. Different results 👀 We built the same app with Gemini 3.6 and 3.7 Flash. Both worked. But 3.7 gave us the stronger codebase: better architecture, clean build/lint results, and a more maintainable foundation. Try it in Junie, Air, or any JetBrains IDE. https://t.co/g5oxOCIfX9
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 48 interactions against 215K followers, an engagement rate of 0.022%. Measured over 17 original posts, its engagement rate beats 34% 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 8.6K times each, and 0.555% of those impressions turn into an interaction. That is about 4.02% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 17 posts sampled, 94% carry an image or video, 12% are part of a thread and 35% link out. The account's strongest tracked post pulled 533 interactions, about 11x its own typical post.
- What is JetBrains's engagement rate on X?
- JetBrains (@jetbrains) has an engagement rate of 0.022%, based on the median interactions across 17 original posts from the last 30 days against 215,243 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.022%, JetBrains sits above the 10th percentile of the 204,880 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 @jetbrains have real engagement?
- Its engagement rate beats 34% 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 @jetbrains post?
- Most posts go out around 14:00 UTC, and Thursday is its busiest day, at roughly 0.93 posts per day across the measured window.