Art Jonak engagement report
@ArtJonak - 84K followers on X
Measured over 3 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 1 interaction against 84K followers, an engagement rate of 0.001%. Posts are seen about 398 times each, and 0.251% of those impressions turn into an interaction. That is about 0.471% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 04:00 UTC, and Sunday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 175K interactions. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 3 original posts from a 30-day window, last computed on October 1, 2026.
Where this sits in the catalog
At 0.001%, Art Jonak sits below the 10th percentile of the 213,381 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.699% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 04:00 UTC, and Sunday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 0% 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 1107 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
- Jun 23, 2026
Driving through Ohio. Towns like this are why we’re trying to avoid the interstates and take the slower roads instead. These are the kinds of places we want to see. This feels like peak America.🇺🇸 https://t.co/euWbDVIRge
- May 25, 202270473x their median
As you become an adult, you realize that things around you weren't just always there; people made them happen. But only recently have I started to internalize how much tenacity *everything* requires. That hotel, that park, that railway. The world is a museum of passion projects.
- Jun 23, 2026
WHAT A PHOTO!!! Celebrations that hit hard! 😍 https://t.co/S1VX0oQi05
- Jul 9, 202636848x their median
Glen Powell says Tom Cruise convinced him to stay on Top Gun: Maverick after he lost the role of Rooster. Rich Eisen : “You originally auditioned for the role of Rooster in Top Gun: Maverick.” Glen Powell : “That’s true.” “I felt great about the audition.” “Then I got the call that I wasn’t going to be Rooster.” “I was literally wearing an American flag tank top and aviators.” “I immediately ended up in the fetal position.” “It was the worst Fourth of July ever.” “A few days later, Tom Cruise called me and said, ‘I still want you to do the movie.’” “I wasn’t sure I wanted to anymore.” “He and Jerry Bruckheimer invited me to sit down and talk.” “Tom asked me, ‘What kind of career do you want?’” “I said, ‘Yours. I’m trying to be you.’” “He said, ‘Do you know how I do that?’” “I said, ‘You choose great roles.’” “He said, ‘No. I choose great movies, and I make the roles great.’” “That completely changed my perspective.” “Even being a small part of the Top Gun ride has changed my life forever.”
- Jun 6, 202311421x their median
Why AI Will Save The World By Marc Andreessen The era of Artificial Intelligence is here, and boy are people freaking out. Fortunately, I am here to bring the good news: AI will not destroy the world, and in fact may save it. 🧵
- Jul 3, 20269995x their median
“it’s called delusional optimism and it basically ensures that I win at life” https://t.co/FLxzNp1gp6
- Jul 6, 20269603x their median
Mind boggling to me that I can make a thing faster and there's always people that ask "but why?" What kind of mentality is that? The pursuit of excellence does not need justification. Also, I find in so many cases, we can't know the impact of an improvement until we do it. For example, one I've talked about before: Ghostty's high IO throughput has enabled terminal program (emulator and TUI) fuzzing at a speed thats incomparably fast to prior solutions. This has resulted in upstream patches to resolve issues in popular projects like btop, tmux, and more. Speed enabled that anecdotally example that lifted the tides of adjacent communities that don't rely on Ghostty technology at all. I didn't predict this. Make things better because they can be better and let the results naturally play out.
- May 8, 20267058x their median
https://t.co/5vDrndcmFn
- Aug 6, 20267026x their median
A SpaceX recruiter once described what happens when Elon Musk personally interviews a candidate. And it explains why SpaceX has the lowest acceptance rate of any company in aerospace, lower than NASA, lower than Boeing, lower than any defense contractor on earth. She said the interview doesn't feel like an interview. There's no behavioral questions. No "tell me about a time when." No competency framework. Elon sits across from the candidate and starts asking technical questions at the boundary of the candidate's expertise. Then he pushes past the boundary. He's not testing whether you know the answer. He's testing what happens when you don't. Does the candidate panic and make something up? Do they freeze? Or do they say "I don't know but here's how I would figure it out" and then reason through it in real time? She said the candidates who get hired are almost never the ones with the most impressive resumes. They're the ones who reached the edge of their knowledge and kept thinking out loud instead of shutting down. The willingness to sit in not knowingn and work through it publicly is the signal Elon selects for. She said he rejected a PhD from MIT and hired a self-taught engineer from a state school in the same week. The PhD froze at the edge of his knowledge. The self taught engineer said "I've never solved that specific problem but here's how I'd approach it" and then spent ten minutes reasoning through it while Elon listened. SpaceX doesn't hire credentials. It hires problem solvers. And the only way to identify a real problem solver is to push them past what they know and watch what happens in the space between knowledge and uncertainty. That space is where rockets get built.
- Jul 27, 20266385x their median
Right now, only a small percentage of the Vegas loop is open and we already do about 40,000 passengers a day on a busy convention day, which is more than the majority of light rail systems in the US. In a few months we will open the airport connector tunnels, which are two of the longest transportation tunnels built in the US in the last 25 years, and we believe ridership will 3x-4x as a result. At that point Vegas loop would be in the top 10 of public transportation systems in the US based on ridership (and on its way to top 3 or 4 as we open more and more of the system).
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 1 interaction against 84K followers, an engagement rate of 0.001%. Posts are seen about 398 times each, and 0.251% of those impressions turn into an interaction. That is about 0.471% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 04:00 UTC, and Sunday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 175K interactions. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Art Jonak's engagement rate on X?
- Art Jonak (@ArtJonak) has an engagement rate of 0.001%, based on the median interactions across 3 original posts from the last 30 days against 84,468 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, Art Jonak sits below the 10th percentile of the 213,381 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 @ArtJonak have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @ArtJonak post?
- Most posts go out around 04:00 UTC, and Sunday is its busiest day, at roughly 0.37 posts per day across the measured window.