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Pau Garcia-Milà engagement report

@pau - 75K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Bottom quarter for its size
Per follower
0.021%
of 75K followers
Per impression
0.62%
2.6K views on a typical post
Reach
3.43%
of its followers see a post
Typical post
16
interactions (median)
Saved
0.213%
6 bookmarks on a typical post
Posting rate
0.73/day
active 60% of days
Peak time
08:00 UTC
Tuesday

A typical post picks up 16 interactions against 75K followers, an engagement rate of 0.021%. Measured over 18 original posts, its engagement rate beats 25% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.6K times each, and 0.62% of those impressions turn into an interaction. That is about 3.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 94% carry an image or video and 6% link out. The account's strongest tracked post pulled 3.0K interactions, about 189x its own typical post. Recurring topics include #en1minuto, #ia, #tdah.

Measured over 18 original posts from a 30-day window, last computed on October 21, 2026. Recurring tags: #en1minuto, #ia, #tdah.

Compared with accounts its own size

Pau Garcia-Milà's engagement rate beats 25% of the tracked X accounts closest to it in follower count (19,933 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 27% 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 0.021%, Pau Garcia-Milà sits above the 10th percentile of the 200,870 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 200,870 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 08:00 UTC, and Tuesday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video94% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 94% 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.
  • 6% 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 270 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 22, 2026189x their median

    Mirad esto. Muy fuerte. La inteligencia artificial de Google, la misma pregunta cambiando el origen. https://t.co/GV9UPLpKFt

    2.7K1496134641K viewsView on X
  • Aug 9, 202641x their median

    Acabo de pedirle a la IA (Fable 5) que me diga algo que me asuste y me ha dicho esto. La "irrelevancia cómoda". https://t.co/UHaRmIo9c9

    52594261653K viewsView on X
  • Sep 19, 202634x their median

    La IA más potente no siempre tiene que estar en la nube. Con Rebost puedes instalar modelos de IA directamente en tu ordenador y trabajar con tus propios archivos sin que salgan de ahí. Gratis, open source y hasta sin conexión. Te lo cuento en 1 minuto ⤵️ #en1minuto #IA https://t.co/N9FWGlXyRP

    4349111221K viewsView on X
  • Aug 10, 202614x their median

    El prompt engineering ha muerto. Hoy la IA funciona mejor cuando le hablas sin filtro, no cuando le escribes un prompt perfecto. Te lo cuento en 1 minuto ⤵️ #IA #en1minuto https://t.co/Mfw4u9nqnE

    1961812112K viewsView on X
  • Jul 18, 202613x their median

    Hay una herramienta que, mientras compras online, busca si eso mismo está más barato en otro lado. Así dejas de preguntarte si podrías haber pagado menos. Te lo cuento en 1 minuto ⤵️ #IA #en1minuto https://t.co/y3OsDsuawr

    136150015K viewsView on X
  • Sep 5, 20269.2x their median

    Después de probar gpt-6 Astra en diferentes entornos y contextos, creo que lo que marca principalmente la diferencia es que noto que es el primer modelo de IA en tener sentido común: en tareas de desarrollo, evita añadir capas adicionales si se da cuenta que existe algo similar a lo que le has pedido aunque no igual que se podría reaprovechar. Un humano (desarrollador) vería esa librería / helper / servicio y lo usaría directamente, comentando internamente que reusa ese componente aunque no cumple exactamente con la especificación, la diferencia es mínima y documentable. En cambio un modelo de IA (excepto Astra), justamente ahí es donde suele equivocarse y tradicionalmente añadiría una nueva capa de basura para crear exactamente la especificación documentada, sin ser consciente de que está duplicando más y más código. Lo que vendría a ser el Sentido Común® del que muchos humanos (y casi todas las IAs) carecen. En resumen. Piel de gallina con Astra, de momento.

    1241211018K viewsView on X
  • Oct 19, 20268.7x their median

    Siempre había querido un videojuego de castellers. Así que se lo pedí a la IA y me fui a dormir. Al despertarme, tenía un juego completo. Esto es el one-shot: pedirle algo a la IA y ver hasta dónde llega sin tocar nada. Te lo cuento en un minuto. #en1minuto #IA https://t.co/46B9LaeXzR

    1021021642K viewsView on X
  • Jul 20, 20267.5x their median

    Hay una herramienta que analiza tu piel con solo una foto. Se llama Skinive y detecta cuándo de verdad hace falta ir al médico o cuando es algo que puedas solucionar en casa.  Esto viene muy bien a hipocondríacos como yo. Te lo cuento en 1 minuto ⤵️ #en1minuto #IA https://t.co/dGO7f4GMeu

    101143210K viewsView on X
  • Sep 14, 20266.9x their median

    Hay juegos que entretienen y luego está este. Murdoku mezcla Sudoku con True Crime y es peligrosamente adictivo. Esta es gratis y aquí te dejo la URL: https://t.co/lgdj8Ew0vy Te lo cuento en 1 minuto ⤵️ #en1minuto #juego https://t.co/Eyebt4XBLR

    87194010K viewsView on X
  • Jul 27, 20265.9x their median

    Hay una app que avisa de que has llegado bien sin compartir la ubicación 24h.  BackHome no comparte tu ubicación con nadie, nunca. Pero cuando llegas a donde tú has decidido, avisa sola a quien quieras. Sin tocar el móvil. Te lo cuento en 1 minuto ⤵️ #en1minuto #Gadget https://t.co/Bem2szFqtC

    8211106.6K 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.

Recurring topics

#en1minuto#ia#tdah#gadget

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 16 interactions against 75K followers, an engagement rate of 0.021%. Measured over 18 original posts, its engagement rate beats 25% of 19,933 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.6K times each, and 0.62% of those impressions turn into an interaction. That is about 3.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 94% carry an image or video and 6% link out. The account's strongest tracked post pulled 3.0K interactions, about 189x its own typical post. Recurring topics include #en1minuto, #ia, #tdah.

What is Pau Garcia-Milà's engagement rate on X?
Pau Garcia-Milà (@pau) has an engagement rate of 0.021%, based on the median interactions across 18 original posts from the last 30 days against 75,284 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, Pau Garcia-Milà sits above the 10th percentile of the 200,870 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 @pau have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the bottom 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 @pau post?
Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 0.73 posts per day across the measured window.

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