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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.9% |
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.
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 | 68% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 5% 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
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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
- 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
- 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.
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.