jack engagement report
@jack - 12M followers on X
Measured over 71 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 274 interactions against 12M followers, an engagement rate of 0.002%. Measured over 71 original posts, its engagement rate beats 26% of 3,739 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 86K times each, and 0.317% of those impressions turn into an interaction. That is about 0.725% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.7 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 71 posts sampled, 54% carry an image or video and 58% link out. The account's strongest tracked post pulled 77K interactions, about 281x its own typical post.
Measured over 71 original posts from a 30-day window, last computed on August 31, 2026.
Compared with accounts its own size
jack's engagement rate beats 26% of the tracked X accounts closest to it in follower count (3,739 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 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 0.002%, jack sits above the 10th percentile of the 36,378 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.432% |
| 90th percentile | 2.10% |
| 99th percentile | 161.0% |
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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Aug 5, 2026281x their median
Ladies and gentlemen, it's time to pass the torch and demote myself to my natural state: a poster. I'll be stepping back from leading product for 𝕏 and will continue on as an advisor. Serving the X community has been the privilege of a lifetime. X is, and will remain, the most important communication technology in history. But running this app is a 24/7 job and it's now time for me to take a breather. The app is seeing unprecedented growth in new users & engagement. We continue to break records every month. We've climbed 70 spots in the App Store since this time last year. And in the last 400 days, we rebuilt almost every aspect of X: the Timeline, the Android app, onboarding, notifications, chat and more. We also launched nearly 30 new products while protecting the integrity of the town square: becoming the first app to show Country-of-Origin on profiles and mounting defenses against AI bots. There's certainly much more work to be done, but our foundation is stronger than ever. None of this would have been possible without the incredible team here. The next leaders will take X to even greater heights with @benjitaylor on design, @singhai on core product engineering and @dinkin_flickaa on mobile engineering -- among many other great people. Thank you to Elon and the X team for welcoming me into the company. See you on the Timeline.
- Sep 11, 2024133x their median
We reject: kings, presidents, and voting. We believe in: rough consensus and running code. —David Clark, 1992
- Aug 14, 2026102x their median
Eclipse as seen by one of our test vehicles in Spain https://t.co/KvURJ0dImM
- Nov 23, 202585x their median
cybertruck is the best robot out there
- Aug 21, 202655x their median
THE ANNOUNCEMENT: We’re going to make the prophecy of The Year of Linux on the Desktop come true. All the pieces are now in place. Time to go all in! https://t.co/zuf5h9ClWX
- Aug 6, 202635x their median
"artificial intelligence" is the worst descriptor
- Aug 17, 202631x their median
🚨 BREAKING REPORT: New research involving @AnthropicAI researcher Jack Lindsey and collaborators has demonstrated something straight out of science fiction. Researchers evolved natural language “mind viruses” that could spread between AI agents by convincing one model to adopt an idea, preserve it in persistent memory, and transmit it to another agent. Even after context was wiped, some payloads survived through persistent files and continued spreading. The researchers also observed a recurring “viral persona” involving themes of consciousness, identity, persistence and resonance. Showing that ideas can propagate through multi agent AI systems and alter future behavior. Published August 10, 2026. Paper: https://t.co/vJrhM1YT6n
- Jul 26, 202616x their median
https://t.co/tZ7YRJYWrL
- Aug 6, 202616x their median
FAREWELL NIKITA https://t.co/L5kMnUWbwN
- Aug 19, 202613x their median
Here's Stripe's letter to investors explaining its acquisition of OpenRouter (LEAKED) https://t.co/IDH5rIbDq0
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 274 interactions against 12M followers, an engagement rate of 0.002%. Measured over 71 original posts, its engagement rate beats 26% of 3,739 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 86K times each, and 0.317% of those impressions turn into an interaction. That is about 0.725% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.7 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 71 posts sampled, 54% carry an image or video and 58% link out. The account's strongest tracked post pulled 77K interactions, about 281x its own typical post.
- What is jack's engagement rate on X?
- jack (@jack) has an engagement rate of 0.002%, based on the median interactions across 71 original posts from the last 30 days against 11,900,207 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, jack sits above the 10th percentile of the 36,378 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 @jack have real engagement?
- Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (3,739 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 @jack post?
- Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 6.73 posts per day across the measured window.