Serenity engagement report
@aleabitoreddit - 1.1M followers on X
Measured over 24 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 1.7K interactions against 1.1M followers, an engagement rate of 0.159%. Measured over 24 original posts, its engagement rate beats 78% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 371K times each, and 0.455% of those impressions turn into an interaction. That is about 34.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 75% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 9.0K interactions, about 5.2x its own typical post.
Measured over 24 original posts from a 30-day window, last computed on October 25, 2026.
Compared with accounts its own size
Serenity's engagement rate beats 78% of the tracked X accounts closest to it in follower count (20,444 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 29% 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 0.159%, Serenity sits above the 50th percentile of the 204,694 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 22:00 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.
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 | 75% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 4% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 75% 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 815 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
- Sep 20, 20265.2x their median
Jev + Astra beats the Ender Dragon in Minecraft in 8 minutes 43 seconds! ⏱️ Cost less than $1 ($0.01 Jev, $0.96 Astra) I open sourced the code and explain the harness setup below. This type of movement is only possible with Jev's near instant decisionmaking, and some continually learning skills from Astra.
- Aug 16, 20264.2x their median
I feel like AI investing is simpler than what people expect. Because $NVDA + Jensen literally tells everyone what's coming. But somehow. Almost every. single. time. Markets dismiss it until it actually happens? Be Nvidia in 2025: Buys up EML and laser capacity. Markets dismissing it: "Photonics is a bubble and like quantum! ____ company is a scam with shady management" 1 year later: $LITE +678%, $AAOI +475.12%, $COHR +260.7%, $AXTI +3,843.9%. _ Nvidia in 2026: Buys up CW/EML capacity with LTAs. 800V shift. Extraordinary explicit about CPO shift. States Physical AI as the next theme. Markets now: "CW players are meme stocks! 800v, CPO is not coming anytime soon, Humanoids are not profitable!" Yeah... We'll see what happens in 2027. I think I'm putting my money on Jensen/Nvidia as the leading indicator.
- Sep 20, 20263.0x their median
我有点想在中国的社交平台上开个账号玩玩 就玩一小段时间，跟用不了 X 的粉丝们互动一下 大家推荐去哪个平台发帖？
- Aug 27, 20263.0x their median
我感觉我现在大部分粉丝都是讲中文的…
- Aug 17, 20262.5x their median
I've decided to name my next two pets Applied Optoelectronics and Sivers Semiconductors
- Jul 30, 20262.4x their median
上个月的股神名单，如今只剩一人存活 https://t.co/ckIiugE2h9
- Sep 25, 20262.3x their median
我突然意识到, 原来我有这么多粉丝. 第一次从第三方的视角看了一下自己的主页…感觉好像还有点吓人? 如果我们办一场派对, 而且所有人都来了, 那应该不是塞满一个小房间的问题, 而是能塞满一整座城市吧? 总之, 中秋节快乐！
- Sep 14, 20262.1x their median
A few people asked over the weekend what the calls to slow the pace of frontier AI mean for the buildout. Some thoughts: Even if models never improved from here, just rolling out what they can already do would take more compute than the world can build for years. The debate about how fast AI should be allowed to improve is a fair one to have. It's about future generations of models. Existing demand is the part I think people are misreading. Anthropic CEO Dario Amodei said in May they'd planned for 10x growth and were running at an 80x pace in the first quarter, and that's why they've had trouble supplying compute. OpenAI president Greg Brockman said in July they'll be in a compute shortage no matter what, and are choosing which products to scale. Google says it's processing 7x the tokens it did a year ago. Hundreds of millions of people use these models today, and most of them use a small part of what the models can already do. And every time more compute comes online, usage steps up again: limits come off for people already using it, customers who were turned away get on, and new use cases show up that weren't in anyone's plan. Now supply. The constraint is HBM, the memory that sits inside every major AI chip. Three companies make it and all three are sold out this year. A new memory plant takes years to build. TrendForce has HBM shipments growing 50-60% next year. NVIDIA, the biggest buyer of it, expects its revenue to grow about 70% next year and calls that outlook 'supply-constrained', noting its customers' forecasts point closer to 100%. On our own bottom-up work, the memory constraint lands in about the same place as NVIDIA's growth number. Then the chips need a building with power connected, which takes longer again. Goldmans reckons only about half the US capacity scheduled over the next two years will actually be built on time. The risk to demand continues to seem heavily weighted to the upside. The risk to supply continues to seem weighted toward less capacity getting built, not more.
- Aug 21, 20262.0x their median
Uhh Citadel? > Say emergency rate hike. More crashes/liquidations follow > No rate hike > Reaches out to buy liquidated hedge fund portfolios > buys billions of Situational Awareness holdings. > Says AI bull case is intact >markets rally > Sells AI stocks into the buying pressure I’m just stating the timeline here…
- Aug 21, 20261.9x their median
It's getting much harder to support $AAOI when they keep dropping $500m or $600M ATMs left and right. At a certain point, the operating outlook could be positive. But the share structure/financing becomes increasingly shareholder unfriendly. Really, really, dislike ATMs and incessant capital raises, even if they're building up capacity.
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 1.7K interactions against 1.1M followers, an engagement rate of 0.159%. Measured over 24 original posts, its engagement rate beats 78% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 371K times each, and 0.455% of those impressions turn into an interaction. That is about 34.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 24 posts sampled, 75% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 9.0K interactions, about 5.2x its own typical post.
- What is Serenity's engagement rate on X?
- Serenity (@aleabitoreddit) has an engagement rate of 0.159%, based on the median interactions across 24 original posts from the last 30 days against 1,063,445 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.159%, Serenity sits above the 50th percentile of the 204,694 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 @aleabitoreddit have real engagement?
- Its engagement rate beats 78% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @aleabitoreddit post?
- Most posts go out around 22:00 UTC, and Thursday is its busiest day, at roughly 1.57 posts per day across the measured window.