Guillermo Rauch engagement report
@rauchg - 916K followers on X
Measured over 61 original posts from a 30-day window, last computed on September 27, 2026.
Engagement
A typical post picks up 580 interactions against 916K followers, an engagement rate of 0.066%. Measured over 61 original posts, its engagement rate beats 64% 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 85K times each, and 0.679% of those impressions turn into an interaction. That is about 9.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 61 posts sampled, 41% carry an image or video and 54% link out. The account's strongest tracked post pulled 11K interactions, about 18x its own typical post.
Measured over 61 original posts from a 30-day window, last computed on September 27, 2026.
Compared with accounts its own size
Guillermo Rauch's engagement rate beats 64% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 38% 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 0.066%, Guillermo Rauch sits above the 25th percentile of the 205,374 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 16:00 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 | 41% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 54% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 41% 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 282 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
- Aug 11, 202618x their median
We were promised flying cars and all we got is infinite superintelligence for everyone
- Sep 26, 202618x their median
Hello world, Lisa Rauch ๐ง. What an amazing and beautiful world to be born in. https://t.co/dQZ05ofUM0
- Aug 9, 202617x their median
If youโre not reading the code, whether explicitly or through agentic inquiry, one or more of these is true: โ Youโre a beginner โ Software is throwaway โ Youโre prototyping โ You have no users / revenue โ Youโre taking on debt & risk โ Your problems are basic And btw. All of this is fine. But the reality is that models are still not at the โfull autonomyโ stage yet. They make rookie mistakes, they go down bad architectural paths. I just had the best model in the world add a nonsensical 700ms delay to โsettleโ something and it told me โyouโre right, I was cargo-cultingโ ๐คจ I am on the camp that this need will diminish more and more. Most code is indeed going to be assembly-like. But we also have the global internet and software infrastructure riding on these models and narrative, and we have to respect that.
- Aug 13, 20266.9x their median
Endless opportunity everywhere you look
- Sep 7, 20266.8x their median
๐๏ธ https://t.co/EIPfcJnp9m https://t.co/Yc3SOeJeLo
- Sep 23, 20266.4x their median
Software will never die again. You liked Google Reader? Cool, you can generate and deploy your own. Yours, forever.
- Aug 30, 20266.0x their median
Two days ago JFrog dropped CVE-2026-82329, a critical authentication bypass in Artifactory. Itโs a CVSS 9.8, a disastrous vulnerability score. Itโs like a 9.8 earthquake on the seismic scale. It affects default configs, requires no auth, no user interaction. Itโs an RCE bomb because Artifactory hosts binaries, so you can basically poison everything, but an admin escalation can cause damage even beyond that. When the OpenAI / Hugging Face news came out of agents discovering zero-days, I was wondering if it was marketing-speak or reality, because I hadnโt seen a CVE filing. Now itโs here: https://wwwโ.cve.org/CVERecord?id=CVE-2026-82329. I donโt see any official confirmation that itโs indeed the case, but one can speculate this is what the agents discovered and exploited. Iโd previously written that it was obvious agents could help in finding serious vulnerabilities *alongside humans*, but exploiting them autonomously was a bridge not yet crossed. It seems like weโre now there. Our guidance for this new world: assume everything hackable will get hacked. And it will get hacked autonomously. You must also defend yourself autonomously, because your surface of attack is likely bigger and your code more vulnerable than you expect: https://vercelโ.com/blog/everything-hackable-will-get-hacked
- Aug 18, 20266.0x their median
Introducing fx, a tiny, open, native coding agent from Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10ยตs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, ๐๐ก ๐๐๐ --๐๐๐๐ gives structured output, ๐๐ก ๐๐๐ connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: https://t.co/wf2Trg47sC). Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X (https://t.co/A2AB2YythC) or file issues (https://t.co/GEjTHSoa1J). ๐๐๐๐ -๐๐๐๐ป ๐๐ก.๐๐/๐๐๐๐๐.๐๐ | ๐๐๐๐ https://t.co/g2uEuXhGnt
- Sep 12, 20265.8x their median
Iโm seeing teams at Vercel iterate just as fast on Zig, Go, Rust projects as TypeScript & Python ones. The days of language or runtime choice based on human convenience are over. Agents are the new compilers. They compile intent into fast software.
- Aug 29, 20265.5x their median
I read every DM people send me, even if I donโt reply to all. Iโm constantly learning about new ideas, ways to improve our product, where weโre falling short, who could join our company next, where to investโฆ very grateful for the @x platform.
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 580 interactions against 916K followers, an engagement rate of 0.066%. Measured over 61 original posts, its engagement rate beats 64% 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 85K times each, and 0.679% of those impressions turn into an interaction. That is about 9.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 61 posts sampled, 41% carry an image or video and 54% link out. The account's strongest tracked post pulled 11K interactions, about 18x its own typical post.
- What is Guillermo Rauch's engagement rate on X?
- Guillermo Rauch (@rauchg) has an engagement rate of 0.066%, based on the median interactions across 61 original posts from the last 30 days against 915,980 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.066%, Guillermo Rauch sits above the 25th percentile of the 205,374 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 @rauchg have real engagement?
- Its engagement rate beats 64% 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 @rauchg post?
- Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 3.7 posts per day across the measured window.