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Lee Robinson engagement report

@leerob - 302K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Per follower
1.81%
of 302K followers
Per impression
1.53%
354K views on a typical post
Reach
118.3%
of its followers see a post
Typical post
5.4K
interactions (median)
Saved
0.103%
364 bookmarks on a typical post
Posting rate
0.27/day
active 20% of days
Peak time
02:00 UTC
Monday

Early reading. We have captured 3 original posts 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 5.4K interactions against 302K followers, an engagement rate of 1.81%. Posts are seen about 354K times each, and 1.53% of those impressions turn into an interaction. That is about 117.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video and 33% are part of a thread. The account's strongest tracked post pulled 16K interactions, about 3.1x its own typical post. Only 3 original posts 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 3 original posts from a 30-day window, last computed on October 22, 2026.

Where this sits in the catalog

At 1.81%, Lee Robinson sits above the 75th percentile of the 205,261 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video67% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 67% 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.
  • 0% 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 170 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 30, 20263.1x their median

    How could we make @Bot better? Open to any feedback or feature requests! Also... ❤️ this post for a surprise!

    14K1222.2K33354K viewsView on X
  • Aug 25, 20261.6x their median

    We just increased the included usage of Grok models in Cursor! Demand has been increasing with the launch of Grok 4.6. We already doubled limits last month with more compute. And now we're raising limits again permanently. Enjoy!

    7.7K324598170598K viewsView on X
  • Jun 24, 20261.5x their median

    Personal update, I'm starting a new role at Cursor! I'm moving into ML, working on training Composer. I'll be researching how to improve model behavior and personality.

    7.6K9942918320K viewsView on X
  • Jul 16, 2026

    We just doubled the included usage of Cursor models on all plans. Enjoy more access to Grok 4.5 and Composer 2.5!

    6.9K359426176461K viewsView on X
  • Aug 8, 2026

    We’re making great progress on improving the writing quality and design taste of Grok. Still a lot more to do, but I’m encouraged by how quickly we’re iterating. Please let me know any feedback. Grok 4.6 soon!

    4.8K16447167292K viewsView on X
  • Oct 9, 2026

    How do always-on, proactive agents like @Bot work? Watch my lecture at Stanford CS146S: 2:35 How we got here 6:13 What changed in the models 10:06 Inside an always-on agent 18:07 The harness 27:26 Context engineering 34:26 Where this is going https://t.co/hrb02c6Tzk

    4.6K465183115807K viewsView on X
  • Jun 25, 2026

    We're sharing new research on how models hack public benchmarks. The latest models, including Opus 4.8 and Composer 2.5, learn to retrieve solutions from the internet or git history. When we apply a stricter harness, eval scores drop significantly. https://t.co/4kTVssqdjx

    4.7K29517097699K viewsView on X
  • Jul 20, 2026

    Grok 4.5 is really good at React. It's also very affordable and token efficient! https://t.co/1Dg24rLsoW

    3.7K39538530723K viewsView on X
  • Sep 28, 2026

    Congratulations @SpaceX team! This was incredible to see live. The energy here at Starbase is infectious. https://t.co/23Ssd8PuDm

    3.8K1536130240K viewsView on X
  • Feb 24, 20262.5x their median

    Cursor just got a major upgrade! Agents can onboard to your codebase, use a cloud computer to make changes, and send you a video demo of their finished work. The latency of using the remote desktop is smooooth. https://t.co/QYUpL5vbXO

    3.1K14722399550K 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 5.4K interactions against 302K followers, an engagement rate of 1.81%. Posts are seen about 354K times each, and 1.53% of those impressions turn into an interaction. That is about 117.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 02:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video and 33% are part of a thread. The account's strongest tracked post pulled 16K interactions, about 3.1x its own typical post. Only 3 original posts 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 Lee Robinson's engagement rate on X?
Lee Robinson (@leerob) has an engagement rate of 1.81%, based on the median interactions across 3 original posts from the last 30 days against 302,221 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.81%, Lee Robinson sits above the 75th percentile of the 205,261 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 @leerob have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @leerob post?
Most posts go out around 02:00 UTC, and Monday is its busiest day, at roughly 0.27 posts per day across the measured window.

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