ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ engagement report
@DanielMiessler - 161K followers on X
Measured over 24 original posts from a 30-day window, last computed on October 26, 2026.
Engagement
A typical post picks up 404 interactions against 161K followers, an engagement rate of 0.251%. Measured over 24 original posts, its engagement rate beats 70% of 21,185 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 52K times each, and 0.771% of those impressions turn into an interaction. That is about 32.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video, 8% are part of a thread and 33% link out. The account's strongest tracked post pulled 35K interactions, about 87x its own typical post.
Measured over 24 original posts from a 30-day window, last computed on October 26, 2026.
Compared with accounts its own size
ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️'s engagement rate beats 70% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 8 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 34% 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 0.251%, ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ sits above the 50th percentile of the 212,270 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.695%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.695% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 21:00 UTC, and Friday 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 | 8% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 33% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 8% 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.
- 33% 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 501 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 24, 202687x their median
I’ve left Anthropic after more than a year of working on Claude Code and seeing it scale larger than I ever imagined. I have really loved working at Ant and believe deeply in the mission, and most of all, the idea of a race to the top. The idea that if we work hard and responsibly, we can raise the bar and inspire others to great outcomes. And if we all push each other to be better, things can be radically good. I will carry the spirit of this with me forever. My colleagues at Anthropic are the most talented, thoughtful, competent, and earnest people I have ever met. I am glad they are at the wheel and trust them deeply. To the community on X, thank you for everything. You’ve made this the most fun (and sometimes stressful) job I’ve ever had. For me, it is time for a bit of a break before diving into something new. If you want more excellent Claude Code content, you should follow @addyosmani , @lydiahallie, @_catwu, @ClaudeDevs and of course @bcherny who started it all.
- Oct 21, 202627x their median
-----BEGIN EC PRIVATE KEY----- 4 -----END EC PRIVATE KEY----- 😬 https://t.co/fe9amoBqS0
- Oct 24, 202618x their median
despite the unfortunate timing, we take disclosures seriously at @typesafeai at approximately 6:49PM this Friday evening, we became aware of a massive unauthorized leak of ALL customer noul outputs in effort to maximize transparency, here is the link: https://t.co/HWKvYpHS8V
- Sep 20, 202613x their median
The problem with all of these AI personal assistant things is that people don’t actually want to do stuff. You fucking get that right? Do you understand that? Just like AI tools in the workforce, AI assistants don’t actually abstract decisions for you, they let you accelerate decision making. So instead of making one decision a day and then lamenting you can’t do more, AI assistants are going to let you make ten decisions a day and act on all of them. A miracle? Nah dog, a fucking nightmare. Nobody except type A strivers who need Twitter fodder actually want that. Let me tell you a story. When I got back from college I was inspired. If I could take on an elite university with grit and determination, so could everyone I know. I was all razzed up to get people I know to achieve their potential. What I learned after many years of trying is that absolutely nobody wants to realize their potential. People want to hang out with friends and complain. That’s how the world has worked for ten thousand years. This weather fucks. Can you believe the cows walked off. People don’t want enablement. People don’t want you to take all of their excuses. TV is mindless passive activity. AI assistants are not. They’re telling people that they can achieve more. And people absolutely do not want that. Let me tell you another story. Once upon a time I lead a big process overhaul at work and it was great. Two years later I hired a contractor to do something similar. But I personally didn’t want to have to do a bunch of work. Within a week I knew I fucked in. This contractor kept coming to me with decisions I needed to make. Dude I wanted to not have to think about this. Again, a helper when you don’t actually want help is a disaster. None of these AI assistants will take off because people don’t actually want assistants.
- Oct 16, 202611x their median
Using Claude Code in the terminal is mostly an ego thing. The desktop app looks better and does the job. Prove me wrong. What does the CLI do that the app can’t?
- Oct 19, 20269.3x their median
Fable 5.5 probably definitely tomorrow. Rumors: - Better at reasoning and intuition - Infers intent rather than taking instructions literally - More ambitious. Ask it to fix a bug and it fixes the deeper root cause - Does creative, “out-of-the-box” thinking - Can invent algos to predict stocks - Bestows complete and eternal enlightenment on first response AND I’d bet it has major efficiency gains like Opus 5.5. Icing on the cake would be usage for all subs. Prepare yourself in mind, body and spirit.
- Oct 16, 20265.7x their median
Why are you still using pull requests? Is it for code review? If so, do you really think your or your colleagues catch bugs and mistakes that an Opus 5.5 or Fable or Astra won't find? You can literally spawn all three of them and have them check four times each. (Also, don't tell me you don't have a "stamp plz" Slack channel or group chat somewhere.) Is it for knowledge sharing? Surely there's better ways for that now than the PR, no? We have models that can generate explainer videos, presentations, podcasts, games, quizzes, walkthroughs, ... for any piece of code it can reach. Is CI the reason? Well ackshually, CI means continuous integration and its original meaning is the *opposite* of having long-lived branches and PRs. But, leaving that aside, your agents are hopefully already running the tests before they push something, and hopefully they can run as long as they want and don't block you so they can run the whole test suite and generate "irrefutable proof" and end-to-end demo videos and so on... And so they run the tests and confirm and then you push to a branch and everything runs again and then you merge and then it runs again? That doesn't make sense, does it? Maybe you work in open source and you accept contributions, in which case I can't speak to the value of pull requests. It's been 2 years since my last OSS contribution. But from what I heard, the time of the PR is coming to an end in OSS too? I honestly don't get why people still stick to PRs. With agents you can now move 10x faster, you can finally do real continuous integration, and get more confidence in the changes the agent made. Don't slow yourself down by having all the changes pile up in a PR.
- Oct 22, 20265.6x their median
I wonder if we'll ever see Fable 5.5...
- Oct 20, 20264.4x their median
I think I have a good analogy for what's about to happen in cyber. It's pitch dark. Always has been. And the world is dilapidated buildings and rats and maggots and other creepy-crawlies. The whole world. And we just invented flashlights.
- Oct 22, 20263.7x their median
The code, not the spec, should be the center of your universe
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 404 interactions against 161K followers, an engagement rate of 0.251%. Measured over 24 original posts, its engagement rate beats 70% of 21,185 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 52K times each, and 0.771% of those impressions turn into an interaction. That is about 32.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video, 8% are part of a thread and 33% link out. The account's strongest tracked post pulled 35K interactions, about 87x its own typical post.
- What is ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️'s engagement rate on X?
- ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ (@DanielMiessler) has an engagement rate of 0.251%, based on the median interactions across 24 original posts from the last 30 days against 160,769 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.251%, ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️ sits above the 50th percentile of the 212,270 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 @DanielMiessler have real engagement?
- Its engagement rate beats 70% of the tracked X accounts closest to it in follower count (21,185 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 @DanielMiessler post?
- Most posts go out around 21:00 UTC, and Friday is its busiest day, at roughly 2 posts per day across the measured window.