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Caspar Lee engagement report

@Caspar_Lee - 4.1M followers on X

Measured over 1 original post from a 30-day window, last computed on August 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 4.1M followers
Per impression
0.057%
97K views on a typical post
Reach
2.36%
of its followers see a post
Typical post
55
interactions (median)
Saved
0.009%
9 bookmarks on a typical post
Posting rate
0.1/day
active 3% of days
Peak time
10:00 UTC
Monday

Early reading. We have captured 1 original post 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 55 interactions against 4.1M followers, an engagement rate of 0.001%. Measured over 1 original post, its engagement rate beats 10% of tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 97K times each, and 0.057% of those impressions turn into an interaction. That is about 2.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 7.0K interactions, about 127x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on August 23, 2026.

Compared with accounts its own size

Caspar Lee's engagement rate beats 10% of the tracked X accounts closest to it in follower count. A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

Where this sits in the catalog

At 0.001%, Caspar Lee sits above the 10th percentile of the 9,668 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.006%.

p100.001%
p250.006%
p50 (median)0.046%
p750.318%
p902.67%
p99366.2%
Engagement rate as a share of followers, across the 9,668 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 457,772 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 percentile0.001%
25th percentile0.006%
50th percentile0.046%
75th percentile0.318%
90th percentile2.67%
99th percentile366.2%

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 Monday 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 97%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 UTC0%14K
01:00 UTC+3%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-4%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%16K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%28K
15:00 UTC-1%30K
16:00 UTC-1%29K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%23K
20:00 UTC0%21K
21:00 UTC+1%19K
22:00 UTC+1%16K
23:00 UTC+1%15K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 97%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+9%56K
Monday+8%72K
Tuesday+1%93K
Wednesday-4%77K
Thursday-3%70K
Friday-6%71K
Saturday+2%62K
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 video0% of posts+79%+73% to +84%5.7K
Outbound link100% of posts-49%-50% to -47%6.0K
Typical length-+7%+4% to +10%7.0K
  • 0% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 23 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 7% 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

  • Aug 25, 2025127x their median

    Feels good to be back https://t.co/M44dWyGpHd

    6.9K36162243K viewsView on X
  • Jan 20, 202669x their median

    beehiiv just crossed $2M MRR but most founders are still stuck trying to generate their first $100K to celebrate the milestone I’m going to try something new… I’m sharing the exact playbook we used in the early days (10 simple tactics) hope this helps someone: https://t.co/Cwaos2LXgB

    3.2K233307734.0M viewsView on X
  • Feb 4, 202665x their median

    Today, @elevenlabs is announcing a $500M Series D at an $11B valuation, led by Sequoia, with a16z quadrupling down and ICONIQ tripling down. It reflects the trust of customers and partners building at the frontier alongside us - and gives us momentum to ship even faster. https://t.co/pvBHX4FVM7

    3.1K19119068321K viewsView on X
  • May 18, 202656x their median

    Introducing Creatify Agent. The world’s first multi-agent orchestrator that makes viral ads without AI slop. Drop an ad idea below, and we’ll build it for you. https://t.co/WcI2hk85FV

    2.0K296673814.5M viewsView on X
  • Jul 24, 202548x their median

    I’m Shawn, founder of https://t.co/DLaNyXWuUn, former researcher at Meta and CS PhD at University of Cambridge. Today we’re launching https://t.co/DLaNyXWuUn: we built the world’s first Large Visual Memory Model - to give AI human-like visual memories. Why visual memory? AI to date is chat-based, which has great applications, but humans are not only chat based. Humans have visual-memories, and are visually driven. https://t.co/DLaNyXWuUn enables AI agents, softwares, and even robots to see and remember the world the way humans do. We just raised an $8m seed round led by @susaventures to build the visual-memory layer for AI. Why is https://t.co/DLaNyXWuUn so groundbreaking? 👇

    1.9K3441791821.2M viewsView on X
  • Aug 18, 202523x their median

    ahead of @OpenAI , the world's first third core device? What do you think @sama https://t.co/YVnTcTt5v6

    1.1K4111927371K viewsView on X
  • Aug 25, 202523x their median

    the most natural lipsyncing tool just got better introducing lipsync-2-pro, a state-of-the-art video model to edit what anyone says in any video edit high resolution video while preserving every detail - from freckles to full beards - on any character https://t.co/IzxATTWy2Q

    9971306750181K viewsView on X
  • Jan 22, 202620x their median

    GPT-5.2 for language learning: https://t.co/Ofhn5Kn6nP

    939835818111K viewsView on X
  • May 19, 202620x their median

    Status has raised $17M in seed and Series A funding led by @AbstractVC, @generalcatalyst and @usv to let anyone step inside their favorite stories, become famous, and live a million different lives. We quietly launched Status last year and grew to over 1 million users in 19 days - making us the fastest growing AI app since ChatGPT. But we hit a (predictable) snag - the app was incredibly expensive to run. How do you serve millions of users without degrading the product with a cheap LLM? So the team locked in: we rebuilt the whole experience, and our technical bets paid off. Our users now spend 35 minutes on average to (90 minutes each day for power users!), and millions of characters and worlds have been created. All by our users. The next frontier of entertainment is mobile-first and deeply personal. Traditional mobile games take years to build and rarely stick. TV shows are fleeting in the age of streaming. Status is different. It is not a game you finish, it is a world you can live in. Status is a new category entirely: Immersive Social Entertainment, and we believe strongly that it is the next great entertainment paradigm. We’ve 10x’d to millions in annual revenue in Q1 2026, we're just getting started. On Status, you can be anyone.

    7826618048259K viewsView on X
  • May 26, 202618x their median

    we just crossed $30M ARR @beehiiv here’s the “overnight success” that took 4 years: 14 months: $0 → $1m 12 months: $1m → $5m 9 months: $5m → $10m 6 months: $10m → $15m 5 months: $15m → $20m 5 months: $20m → $25m 4 months: $25m → $30m and the $30M doesn't include the ~$15M of annualized revenue from Ads/Boosts 😏

    7663315415120K 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 55 interactions against 4.1M followers, an engagement rate of 0.001%. Measured over 1 original post, its engagement rate beats 10% of tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 97K times each, and 0.057% of those impressions turn into an interaction. That is about 2.36% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 7.0K interactions, about 127x its own typical post. Only 1 original post 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 Caspar Lee's engagement rate on X?
Caspar Lee (@Caspar_Lee) has an engagement rate of 0.001%, based on the median interactions across 1 original posts from the last 30 days against 4,107,851 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Caspar Lee sits above the 10th percentile of the 9,668 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 @Caspar_Lee have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count, which puts it in the bottom 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 @Caspar_Lee post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 0.1 posts per day across the measured window.

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