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Lee Robinson engagement report

@leerob - 287K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 6, 2026.

Engagement

Per follower
0.502%
of 287K followers
Per impression
1.22%
118K views on a typical post
Reach
41.2%
of its followers see a post
Typical post
1.4K
interactions (median)
Saved
0.206%
242 bookmarks on a typical post
Posting rate
0.57/day
active 43% of days
Peak time
15:00 UTC
Thursday

Early reading. We have captured 7 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 1.4K interactions against 287K followers, an engagement rate of 0.502%. Posts are seen about 118K times each, and 1.22% of those impressions turn into an interaction. That is about 41.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 29% carry an image or video and 14% are part of a thread. The account's strongest tracked post pulled 8.8K interactions, about 6.2x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 6, 2026.

Where this sits in the catalog

At 0.502%, Lee Robinson sits above the 75th percentile of the 66,128 accounts in this comparison. That places it in the top 25% band, which runs 0.499% to 2.09%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video29% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 29% 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 562 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

  • Aug 25, 20266.2x 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!

    7.7K326608170591K viewsView on X
  • Jun 24, 20265.7x 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.

    7.6K10343318320K viewsView on X
  • Jul 16, 20265.5x their median

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

    7.0K363431176460K viewsView on X
  • Aug 8, 20263.9x their median

    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!

    4.8K16847867291K viewsView on X
  • Jul 20, 20263.2x their median

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

    3.7K50239130721K 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
  • Jun 24, 20262.3x their median

    You can now try GLM 5.2 in Cursor! Excited to see more useful open models, thank you to Fireworks for partnering here. Results from our evals ↓ https://t.co/aUxnRtaRks

    2.8K14516574316K viewsView on X
  • Jun 12, 20261.7x their median

    https://t.co/6nWAu8JVdw

    2.2K1695231354K viewsView on X
  • Jul 24, 20261.6x their median

    Humans try hard things, fail, learn, and get better through repetition. AI models aren't as different as you might think. Here's how models "learn" explained in simple terms. https://t.co/gFaNuyVliT

    2.0K2117937217K viewsView on X
  • Jul 10, 20261.6x their median

    She’s found the ancient scrolls. https://t.co/VQNyo0YvFV

    2.2K3684573K 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 1.4K interactions against 287K followers, an engagement rate of 0.502%. Posts are seen about 118K times each, and 1.22% of those impressions turn into an interaction. That is about 41.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 29% carry an image or video and 14% are part of a thread. The account's strongest tracked post pulled 8.8K interactions, about 6.2x its own typical post. Only 7 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 0.502%, based on the median interactions across 7 original posts from the last 30 days against 286,812 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.502%, Lee Robinson sits above the 75th percentile of the 66,128 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 15:00 UTC, and Thursday is its busiest day, at roughly 0.57 posts per day across the measured window.

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