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Rocket Agency engagement report

@ounojo - 1.2M followers on X

Measured over 23 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Middle of its size range
Per follower
0.007%
of 1.2M followers
Per impression
0.603%
14K views on a typical post
Reach
1.15%
of its followers see a post
Typical post
84
interactions (median)
Saved
0.065%
9 bookmarks on a typical post
Posting rate
11.63/day
active 50% of days
Peak time
10:00 UTC
Thursday

A typical post picks up 84 interactions against 1.2M followers, an engagement rate of 0.007%. Measured over 23 original posts, its engagement rate beats 29% 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 14K times each, and 0.603% of those impressions turn into an interaction. That is about 1.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 11.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 23 posts sampled, 96% carry an image or video. The account's strongest tracked post pulled 37K interactions, about 438x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on October 27, 2026.

Compared with accounts its own size

Rocket Agency's engagement rate beats 29% of the tracked X accounts closest to it in follower count (21,185 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 35% 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 0.007%, Rocket Agency sits above the 10th percentile of the 212,146 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.694%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,146 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.694%
90th percentile2.61%
99th percentile83.1%

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 10:00 UTC, and Thursday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video96% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 96% 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.
  • 4% 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 306 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 21, 2026438x their median

    Unitree Introducing: H2-X Kung Fu Legend Guardian🤖 Powerful performance to serve and guard you, with a maximum endurance of approximately 8 hours. Please use the robot safely and in a friendly manner. https://t.co/5RU5kDzSUK

    28K3.8K1.9K3.0K15M viewsView on X
  • Sep 27, 2026355x their median

    How is this real life? Seriously wtf man. https://t.co/taavhgPHpI

    26K2.3K9605493.8M viewsView on X
  • Oct 7, 2026107x their median

    U.S President Donald Trump is expected to award SpaceX and Tesla CEO Elon Musk the National Medal of Science, the U.S. government’s highest honor for outstanding contributions to science and engineering. The award is expected to be presented during the White House “Science: A New Golden Age” summit tomorrow, Thursday, October 8, 2026

    6.6K1.2K979147170K viewsView on X
  • Sep 19, 202643x their median

    Not even up to 24 hours of getting it💔 https://t.co/oflT3tfse9

    2.6K1396063116.7M viewsView on X
  • May 27, 202647x their median

    The HRT 2015 intern class is the new-gen PayPal Mafia https://t.co/wIdTBbjPkr

    2.3K12864652.0M viewsView on X
  • Oct 8, 202616x their median

    Elon Musk explains the deeper purpose of SpaceX and why making life multiplanetary is so important for the future of humanity: “The goal of SpaceX is to build the technologies necessary to make life multiplanetary” For roughly 4 billion years, life on Earth has existed without the ability to expand beyond its home planet Now, for the first time in history, humanity has the technology to begin changing that And that is what SpaceX is ultimately building toward Reusable rockets, Starship, orbital refueling and eventually self-sustaining cities on Mars are all part of making humanity a spacefaring civilization This is much bigger than exploring another planet It is about ensuring that life and consciousness can continue to survive, evolve and expand far into the future Humanity has an extraordinary opportunity to become multiplanetary, and SpaceX is building the technology to make it happen right now https://t.co/v7Ur3buqBl

    1.0K143134541.0M viewsView on X
  • Sep 21, 202614x their median

    The ASUS Googlebook 14 is here. 👀Pre-order now👉 https://t.co/10V6m8fL6e #ASUSGooglebook14 #TheArtOfIntelligence #ASUSCraftsmanship @Google @Android https://t.co/Jylm5RpwQp

    1.0K993828588K viewsView on X
  • Oct 8, 202613x their median

    Grok bot propaganda hit me so hard I had to try it and you know what, it is fucking awesome

    9382974191.3M viewsView on X
  • Sep 22, 20269.3x their median

    Apple has brought back the App Switcher! On watchOS 26 and earlier, you could access the App Switcher by double-clicking the Digital Crown, then turning the Digital Crown to navigate through your recently used apps. You could also swipe left on an app and tap the "X" button to remove it from the App Switcher. With watchOS 27.2 beta, Apple has changed how you access it. Instead of double-clicking the Digital Crown, you now press and hold the bottom of the screen while inside an app to bring up the App Switcher, as shown in the video.

    665473534449K viewsView on X
  • Oct 8, 20268.9x their median

    Today we are announcing Harvey LAB-AA v1.1 in collaboration with Harvey. This updates our scoring methodology for the Legal Agent Benchmark (LAB) to add a hallucination check and require correct responses to not include material misstatements. LAB-AA v1.1's new headline metric, Hallucination-Gated All-Pass Rate, only credits a task when the deliverables satisfy every rubric criterion and contain no material hallucinations. We define a material hallucination as one that would mislead a reader on a substantive point, such as a wrong contractually required date, while a minor hallucination is a real error that is unlikely to meaningfully affect the legal interpretation of a deliverable. Minor hallucinations are reported separately and do not affect the headline score. Grok 4.7 (xhigh) leads at 9.4% Hallucination-Gated All-Pass Rate, and >60% of otherwise passing results across the models tested at launch contain a material hallucination. This is the first step in enhancing the methodology for Harvey LAB-AA. In future updates, we’re working with Harvey to better account for the full set of factors lawyers value, including usability features like style and tone. Key takeaways: ➤ Top of the leaderboard: Grok 4.7 (xhigh) from @spacexai leads at 9.4% Hallucination-Gated All-Pass Rate, narrowly ahead of Muse Spark 1.3 (max) from @AIatMeta at 8.9% and GPT-6 Astra (max) from @OpenAI at 8.6% ➤ Hallucinations reshape the leaderboard: without the hallucination gate, Muse Spark 1.3 (max) would lead clearly with a 26.7% all-pass rate, but two thirds of those passes contain one or more material hallucinations, resulting in a Hallucination-Gated All-Pass Rate of 8.9%. GPT-6 Astra (max) retains almost all of its passes after the hallucination gate (8.9% to 8.6%) and moves from joint 10th to 3rd ➤ The GPT-6 model family is the most grounded: GPT-6 Astra (max) averages 0.03 material hallucinations per task (4 across all 120 tasks) and GPT-6 Sol (max) averages 0.07. When comparing six checker models on a 20-task subset, GPT-6 Astra had zero material hallucinations under every checker, including Claude Opus 5.5 (high). By comparison, Gemini 3.8 Flash (high) averages 13.96 material hallucinations per task. ➤ Top-scoring models aren’t the most expensive: Grok 4.7 (xhigh) takes the top spot on the leaderboard at a cost of ~$9.50 per task, under half the cost of Claude Fable 5.1 (max with fallback) at ~$21.70, the most expensive model. Muse Spark 1.3 (max) represents strong performance for its cost, landing in second for ~$4.20 per task Thank you to @nikogrupen and @ItsJulioPereyra from @harvey for their work on Harvey LAB and collaboration.

    572563781941K viewsView on X

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 84 interactions against 1.2M followers, an engagement rate of 0.007%. Measured over 23 original posts, its engagement rate beats 29% 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 14K times each, and 0.603% of those impressions turn into an interaction. That is about 1.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 11.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 23 posts sampled, 96% carry an image or video. The account's strongest tracked post pulled 37K interactions, about 438x its own typical post.

What is Rocket Agency's engagement rate on X?
Rocket Agency (@ounojo) has an engagement rate of 0.007%, based on the median interactions across 23 original posts from the last 30 days against 1,209,733 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Rocket Agency sits above the 10th percentile of the 212,146 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 @ounojo have real engagement?
Its engagement rate beats 29% 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 @ounojo post?
Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 11.63 posts per day across the measured window.

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