will depue engagement report
@willdepue - 78K followers on X
Measured over 26 original posts from a 30-day window, last computed on October 22, 2026.
Engagement
A typical post picks up 561 interactions against 78K followers, an engagement rate of 0.716%. Measured over 26 original posts, its engagement rate beats 82% of 20,444 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 28K times each, and 1.98% of those impressions turn into an interaction. That is about 36.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 23:00 UTC, and Thursday is the busiest day of the week. Of the 26 posts sampled, 42% carry an image or video, 19% are part of a thread and 8% link out. The account's strongest tracked post pulled 15K interactions, about 27x its own typical post.
Measured over 26 original posts from a 30-day window, last computed on October 22, 2026.
Compared with accounts its own size
will depue's engagement rate beats 82% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 59% 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 0.716%, will depue sits above the 75th percentile of the 205,676 accounts in this comparison. That places it in the top 25% band, which runs 0.679% to 2.56%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
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 23:00 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.
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 | 42% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 8% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 42% 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.
- 8% 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 331 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
- Sep 6, 202627x their median
I asked GPT-6 Astra to mine a diamond in Minecraft using computer use, then went to sleep. Woke up to a diamond in its inventory 🤯🤯🤯 Setup in the replies. https://t.co/OjtCqHPdKo
- Sep 30, 202624x their median
Now the RAM prices make sense. https://t.co/VEAKAP8Get
- Oct 15, 202624x their median
My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU
- Sep 16, 202414x their median
You can tell the RL is done properly when the models cease to speak English in their chain of thought
- Sep 9, 20269.2x their median
Lost in translation a 23 ans, et le monde qu'il décrit n'existe plus. C'est un monde que j'ai connu et dont je suis nostalgique. À l'époque, vivre à Tokyo pour un non-Japonais c'était vivre dans un monde hors du monde, coupé de tout. Ce mélange d'altérité radicale et d'anonymat de la foule attaquait jusqu'à la conscience de son propre être. Et croiser une autre âme errante dans Tokyo créait des relations immédiates et intimes. Aujourd'hui il n'y a plus vraiment d'endroits coupés du monde, car l'on est toujours à une visio de son foyer et des gens qui nous sont familiers. Et la grande partie de notre vie qui se déroule désormais en ligne nous suit dans toutes les géographies. La langue elle-même n'est plus la même barrière. Je me souviens encore des cartes tentaculaires du métro tokyoïte où il n'y avait pas un seul caractère latin auquel se raccrocher. Aujourd'hui presque tout est traduit en anglais, et une app permet de traduire ce qui ne l'est pas. En 2003, tu pouvais payer ton taxi avec ton téléphone à Tokyo et cela avait un côté futuriste. 23 ans plus tard, c'est banal. À l'époque, aussi, la vie y coûtait très cher, et cela tenait le tourisme de masse éloigné. Je pouvais passer des semaines à Tokyo sans rencontrer un seul occidental. Aujourd'hui ils sont par paquets de 10 dans le moindre métro. Il y a même un mouvement où de plus en plus en plus d'Américains vont s'installer à Tokyo, pour profiter des prix de l'immobilier plus bas qu'à NY ou SF, d'une ville parfaitement sûre, de milliers de restaurants et bars qui battent n'importe quel lieu américain, bref pour profiter de la meilleure ville du monde, ce que Tokyo reste, malgré tout. Mais je reste étreint par une sensation de paradis perdu pour toujours. Peut-être le dernier du genre.
- Oct 21, 20269.1x their median
Last month, we demonstrated high-rate alchemy: turning mercury into real, stable gold, beating CERN’s record by a factor of 10. Last week, we enriched isotopes in the world’s most powerful plasma centrifuge, beating the Soviet record that stood for 40 years. Now, we’re building a fusion reactor in San Francisco to achieve record power density.
- Sep 8, 20265.7x their median
i'm sorry but if openai hears 'anthropic solved navier stokes' and races to throw a bunch of agents on it, without any information on your approach, and the agents discover the same thing (and more), still offer you dual credit in goodwill, that is totally above board this all comes down to whether or not openai heard of tristan buckmaster's approach beforehand and seeded the model with that context. openai seems to completely deny this there is no chance that any researcher spied on buckmaster's chats (you have to jump through multiple security and legal hoops to even get the initial credentials to access any user data, no way) and i'd be very surprised if any of buckmaster's chats were trained on at all. it's just not how modern LLM training is done
- Oct 2, 20265.1x their median
i traveled to india last year and could not recommend anyone visit more. the complete opposite of the beige homogenous westernism the planet has sanded itself down into. anyone who thinks otherwise is no true traveler nor lover of human culture https://t.co/vKDwxn1QPC
- Oct 18, 20264.5x their median
Language models can learn to detect when you read their activations. How? 🧵 https://t.co/hhQcgHVrE8
- Sep 8, 20263.5x their median
holy fuck. 4.9 million messages, 300 billion tokens, 10,000 concurrent agents. complete denial of borrowing any work, new astra-next model with seemingly insane benchmarks. they solved the unforced version, not the forced version! https://t.co/9TrxZFhEUi
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 561 interactions against 78K followers, an engagement rate of 0.716%. Measured over 26 original posts, its engagement rate beats 82% of 20,444 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 28K times each, and 1.98% of those impressions turn into an interaction. That is about 36.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 23:00 UTC, and Thursday is the busiest day of the week. Of the 26 posts sampled, 42% carry an image or video, 19% are part of a thread and 8% link out. The account's strongest tracked post pulled 15K interactions, about 27x its own typical post.
- What is will depue's engagement rate on X?
- will depue (@willdepue) has an engagement rate of 0.716%, based on the median interactions across 26 original posts from the last 30 days against 78,478 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.716%, will depue sits above the 75th percentile of the 205,676 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 @willdepue have real engagement?
- Its engagement rate beats 82% of the tracked X accounts closest to it in follower count (20,444 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 @willdepue post?
- Most posts go out around 23:00 UTC, and Thursday is its busiest day, at roughly 2.13 posts per day across the measured window.