Scott Manley engagement report
@DJSnM - 689K followers on X
Measured over 47 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 467 interactions against 689K followers, an engagement rate of 0.068%. Measured over 47 original posts, its engagement rate beats 64% of 3,809 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 30K times each, and 1.53% of those impressions turn into an interaction. That is about 4.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 47 posts sampled, 77% carry an image or video, 11% are part of a thread and 23% link out. The account's strongest tracked post pulled 28K interactions, about 60x its own typical post. Recurring topics include #roc, #stratolaunch, #talon.
Measured over 47 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #roc, #stratolaunch, #talon.
Compared with accounts its own size
Scott Manley's engagement rate beats 64% of the tracked X accounts closest to it in follower count (3,809 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 63% 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 0.068%, Scott Manley sits above the 25th percentile of the 36,960 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.435% |
| 90th percentile | 2.10% |
| 99th percentile | 159.8% |
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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 102K |
| 16:00 UTC | -3% | 99K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -2% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 233K |
| Monday | 0% | 292K |
| Tuesday | -3% | 284K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 246K |
| Friday | -3% | 255K |
| Saturday | +3% | 229K |
Best tweets
- Mar 4, 202560x their median
We've never seen anything like this recording of a landing on another world. @fireflyspace https://t.co/LKnwGJANX5
- Aug 18, 202628x their median
Holy $#*! Well my friends, I've managed to get in touch with brilliant international wildlife photographer Chris Bray on Christmas Island and he just grabbed some shots of Ship 40 for us! Take a look at this!🤯 Lot's more to come so follow him from the link. 👇 https://t.co/zNJP68E1dy
- Aug 30, 20266.1x their median
Nice illustration of wingtip vortices https://t.co/OJLGIEIc3G
- Aug 28, 20265.3x their median
The best space academy https://t.co/NhmkJUPmQ6
- Sep 1, 20264.8x their median
We found Tupac's killer, but ULA sniper remains on the loose. https://t.co/tNJBkppZD1
- Aug 22, 20264.2x their median
I wonder where this announcer is today https://t.co/fUsK137GOf
- Aug 31, 20264.1x their median
My son told me he just watched Full Metal Jacket for the first time. My wife then discovered my ability to endlessly quote Gunnery Sergeant Hartman
- Aug 21, 20264.0x their median
You can see how the whole structure would have been flexing under the force of the waves, it's amazing that this is in as good condition as it is. (from Owen Walsh https://t.co/1Z4q8Ywmrc ) https://t.co/obUkLWGefQ
- Aug 19, 20263.7x their median
Had a real need of my iPhone’s satellite connectivity today, we hiked up to Emerald Lake in Rocky Mountain National park. But on the way back Orion twisted his ankle and the only way to send messages was via satellite. In the end I practically carried him the last mile home https://t.co/3tbjdg0jjw
- Aug 21, 20263.6x their median
People talk about wanting to live in a sci-fi future, but supersonic passenger flight is a sci-fi history. And I really hope to see Overture become more than a great looking model. Thanks @boomsupersonic for this. https://t.co/lMp49d8K39
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 467 interactions against 689K followers, an engagement rate of 0.068%. Measured over 47 original posts, its engagement rate beats 64% of 3,809 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 30K times each, and 1.53% of those impressions turn into an interaction. That is about 4.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 47 posts sampled, 77% carry an image or video, 11% are part of a thread and 23% link out. The account's strongest tracked post pulled 28K interactions, about 60x its own typical post. Recurring topics include #roc, #stratolaunch, #talon.
- What is Scott Manley's engagement rate on X?
- Scott Manley (@DJSnM) has an engagement rate of 0.068%, based on the median interactions across 47 original posts from the last 30 days against 689,120 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.068%, Scott Manley sits above the 25th percentile of the 36,960 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 @DJSnM have real engagement?
- Its engagement rate beats 64% of the tracked X accounts closest to it in follower count (3,809 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 @DJSnM post?
- Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 4 posts per day across the measured window.