shadcn engagement report
@shadcn - 241K followers on X
Measured over 20 original posts from a 30-day window, last computed on September 10, 2026.
Engagement
A typical post picks up 616 interactions against 241K followers, an engagement rate of 0.256%. Measured over 20 original posts, its engagement rate beats 67% of 6,874 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 88K times each, and 0.698% of those impressions turn into an interaction. That is about 36.6% 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 roughly 70% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 20 posts sampled, 50% carry an image or video, 25% are part of a thread and 15% link out. The account's strongest tracked post pulled 5.4K interactions, about 8.7x its own typical post.
Measured over 20 original posts from a 30-day window, last computed on September 10, 2026.
Compared with accounts its own size
shadcn's engagement rate beats 67% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 6 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 33% 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 0.256%, shadcn sits above the 50th percentile of the 66,971 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.5%.
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 | 117.9% |
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 Tuesday 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 | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 50% 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 194 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 2, 20268.7x their median
We are open sourcing `cn`, a new engine for Tailwind class merging and conflict resolution. It is a drop-in replacement for tailwind-merge and clsx. It works with all frameworks, runs everywhere and is 30x faster. Brought to you by @aidenybai and me. https://t.co/G0xVuZdd6H
- Aug 27, 20268.3x their median
generational aura loss https://t.co/p02iAjoNaG
- Aug 22, 20267.0x their median
Find one interaction. Make it simpler. Find one interaction. Make it faster. Repeat. You’re a design engineer.
- Aug 5, 20266.8x their median
New component: Questionnaire. Use it to build multi-step question flows, like agents asking follow-up questions. Supports single and multiple choice, freeform answers, skippable and conditional steps, controlled and resumable state, custom progress, bring-your-own validation, full keyboard navigation with answer shortcuts, ssr-ready, accessible and composable. Available for Base UI, Radix, React Aria in all styles. Also available as unstyled headless in shadcn/react.
- Aug 20, 20266.6x their median
Engineering is for the machines. Design is human.
- Jul 29, 20266.4x their median
Launching Copper, a Mac app for capturing things you want to keep and prompts you want to try next while working with AI. The more I use AI, the more I find myself collecting little things I don't want to lose. You're in ChatGPT and think, "I'll need this later," but you don't want to stop what you're doing. Then you're in Claude. Cursor. Chrome. Back to ChatGPT. Before long, you've got little things scattered everywhere. An answer you want to keep. A link. An idea. Or three follow-up prompts before the current one has even finished generating. I had this problem, so I built Copper. Copper combines the useful parts of a to-do list, a clipboard, and a scratchpad. It's built specifically for AI-assisted work. It sits next to where you work and is always one shortcut away. It works with all your AI apps, terminals and browsers. Whenever I find something worth keeping, I capture it. If I think of a few prompts while the AI is still responding, I type them into Copper. Then I send them back into ChatGPT, Claude, or Cursor and check them off as I go. Copper is local and private. It doesn't sync anything, doesn't collect anything, and doesn't need an account. I've used Copper every day for the past few months. It has completely changed how I work. If this feels like something you'd use, it's $39. One-time purchase.
- Aug 11, 20264.5x their median
I just open sourced a minimal chatbot template. This brings together everything we've been doing the past weeks: new components, shadcn/typeset, shadcn/react, tool calling, HITL with questionnaire, message parts. Deploys one click to @vercel AI Gateway. https://t.co/qwXoDtgBWi
- Sep 9, 20263.3x their median
I haven't tried Omarchy yet (waiting for M support) but man "We'll fix everything" what a line. I can absolutely get behind this.
- Aug 9, 20263.1x their median
Why are we animating everything?
- Jul 14, 20262.8x their median
We’re open sourcing @shadcn/helpers, a new package for small, focused utils to help you build and test components faster. Starting with `createChat` for AI SDK and TanStack AI. It lets you script a conversation between a user & assistant then run it through `useChat`. Your components receive native messages through the framework’s real streaming lifecycle. createChat supports reasoning, tool calls, data, files, sources and parts. Use it to build components, previews, scripted demos and deterministic tests.
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 616 interactions against 241K followers, an engagement rate of 0.256%. Measured over 20 original posts, its engagement rate beats 67% of 6,874 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 88K times each, and 0.698% of those impressions turn into an interaction. That is about 36.6% 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 roughly 70% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 20 posts sampled, 50% carry an image or video, 25% are part of a thread and 15% link out. The account's strongest tracked post pulled 5.4K interactions, about 8.7x its own typical post.
- What is shadcn's engagement rate on X?
- shadcn (@shadcn) has an engagement rate of 0.256%, based on the median interactions across 20 original posts from the last 30 days against 241,020 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.256%, shadcn sits above the 50th percentile of the 66,971 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 @shadcn have real engagement?
- Its engagement rate beats 67% of the tracked X accounts closest to it in follower count (6,874 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 @shadcn post?
- Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 1.83 posts per day across the measured window.