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Gavin Baker engagement report

@GavinSBaker - 344K followers on X

Measured over 19 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Top quarter for its size
Per follower
0.361%
of 344K followers
Per impression
0.694%
177K views on a typical post
Reach
52.0%
of its followers see a post
Typical post
1.2K
interactions (median)
Saved
0.137%
243 bookmarks on a typical post
Posting rate
1.8/day
active 50% of days
Peak time
15:00 UTC
Monday

A typical post picks up 1.2K interactions against 344K followers, an engagement rate of 0.361%. Measured over 19 original posts, its engagement rate beats 85% of 6,874 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 177K times each, and 0.694% of those impressions turn into an interaction. That is about 51.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 68% carry an image or video, 26% are part of a thread and 5% link out. The account's strongest tracked post pulled 8.2K interactions, about 6.6x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on September 3, 2026.

Compared with accounts its own size

Gavin Baker's engagement rate beats 85% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 38% 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 0.361%, Gavin Baker sits above the 50th percentile of the 66,128 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

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 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: 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: 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 video68% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 68% 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.
  • 5% 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 363 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 12, 20266.6x their median

    Grok 4.6 is roughly the same performance as Fable 5 Max at an 85% discount. 80% cheaper for input tokens and 88% cheaper for output tokens. Pareto dominant. Grok 4.7 will be significantly better as is a much larger model with the Cursor and SpaceX data included in pretraining. https://t.co/4e8CXbzs2D

    7.2K532310147787K viewsView on X
  • Aug 29, 20262.8x their median

    Nature is healing. Any politician opposed to data centers is unqualified to hold public office. Data centers are revitalizing small towns all over America, a godsend for blue collar workers, lowering electricity costs, accelerating the transition to sustainable energy and use negligible amounts of water.

    2.9K31718354197K viewsView on X
  • Sep 1, 20262.6x their median

    Releasing Fable 5.1 before Astra is quite a flex. Makes me think Fable 5.2 is ready to go. So much gamesmanship between Anthropic and OpenAI right now. And I am very much looking forward to the next version of Grok. Exciting times.

    2.9K8515620177K viewsView on X
  • Aug 21, 20262.6x their median

    Interesting disclosure from Ken Griffin via @CNBC that they have shed 80% of the SALP portfolio. Super high confidence that this was $45b levered more than 4 to 1 so at least $180b gross. Unwinding that $180b would absolutely have had an impact. Have felt it in the market.

    2.8K14016351620K viewsView on X
  • Aug 23, 20261.8x their median

    Every accelerator company, and I mean every accelerator company, is likely going to do some variant of 3D DRAM or the “zHBM” which were both discussed at HotChips today. The larger companies will probably run (are running) parallel programs, but these two memory variants probably co-exist for a long time. Each has distinct advantages.

    1.9K11410519351K viewsView on X
  • Aug 31, 20261.7x their median

    OpenAI still taking share while Anthropic likely reaccelerating. And open source is growing even faster. https://t.co/CeXwcseNAH

    1.8K12513035191K viewsView on X
  • Aug 25, 20261.6x their median

    Impressive that Jalapeño outperforms the comparable TPU and is in the mix with Rubin. Credit where credit is due - first good ASIC outside of TPU/Trainium. However, will likely significantly underperform a disaggregated GPU/Trainum plus SRAM accelerator setup. Especially with AFFN disaggregation.

    1.8K679619246K viewsView on X
  • Sep 1, 20261.5x their median

    Grok 4.6 and Fable 5.1 are now alone on the CursorBench pareto frontier. Should evolve rapidly over the next few weeks as Astra, Grok 4.7 and Fable 5.2 are released. https://t.co/2fU3w6DgiH

    1.7K879217137K viewsView on X
  • Aug 13, 2026

    $3 trillion for Anthropic in the FT. I feel like I’ve heard that somewhere else. Although public markets generally struggle to accurately value growth when it is this high. https://t.co/2R80q18GUH

    1.2K719321185K viewsView on X
  • Aug 24, 2026

    The most obvious implication of GPU price increase is that anyone who is spending a lot on Blackwell and Rubin before January 31, 2027 is in a good relative position vs. competitors. Super curious to know if GPU prices are going up more than rack prices.

    1.1K39567104K 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 1.2K interactions against 344K followers, an engagement rate of 0.361%. Measured over 19 original posts, its engagement rate beats 85% of 6,874 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 177K times each, and 0.694% of those impressions turn into an interaction. That is about 51.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 68% carry an image or video, 26% are part of a thread and 5% link out. The account's strongest tracked post pulled 8.2K interactions, about 6.6x its own typical post.

What is Gavin Baker's engagement rate on X?
Gavin Baker (@GavinSBaker) has an engagement rate of 0.361%, based on the median interactions across 19 original posts from the last 30 days against 343,603 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.361%, Gavin Baker sits above the 50th 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 @GavinSBaker have real engagement?
Its engagement rate beats 85% of the tracked X accounts closest to it in follower count (6,874 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 @GavinSBaker post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 1.8 posts per day across the measured window.

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