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Miguel Ángel | GptZone engagement report

@MiguelMaestroIA - 219K followers on X

Measured over 45 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Middle of its size range
Per follower
0.047%
of 219K followers
Per impression
0.406%
25K views on a typical post
Reach
11.5%
of its followers see a post
Typical post
102
interactions (median)
Saved
0.139%
35 bookmarks on a typical post
Posting rate
4.63/day
active 60% of days
Peak time
15:00 UTC
Friday

A typical post picks up 102 interactions against 219K followers, an engagement rate of 0.047%. Measured over 45 original posts, its engagement rate beats 46% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 25K times each, and 0.406% of those impressions turn into an interaction. That is about 11.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 45 posts sampled, 73% carry an image or video and 42% are part of a thread. The account's strongest tracked post pulled 4.1K interactions, about 41x its own typical post.

Measured over 45 original posts from a 30-day window, last computed on October 4, 2026.

Compared with accounts its own size

Miguel Ángel | GptZone's engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 22% 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 0.047%, Miguel Ángel | GptZone sits above the 25th percentile of the 205,582 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.143%
75th percentile0.679%
90th percentile2.56%
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 15:00 UTC, and Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video73% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 73% 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.
  • 2% 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 552 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

  • Apr 28, 202641x their median

    Uso Claude todo el día sin agotar mi límite de tokens. Claude no cuenta mensajes, cuenta tokens. Algunas conversaciones agotan tu límite 10× más rápido que otras. Si quieres usar Claude todo el día sin quedarte sin límite, usa estos 10 trucos:

    3.7K396549746K viewsView on X
  • Sep 25, 202618x their median

    Tengo una hija de 11 años y un hijo de 8. Hablar con ellos sobre internet y su seguridad online no es fácil. No quiero que le tengan miedo, pero tampoco quiero que crezcan pensando que todo lo que ocurre detrás de una pantalla es inofensivo. Esta campaña de Nueva Zelanda explica algo que muchos padres todavía no sabemos muy bien cómo abordar. Y lo hace sin asustar, prohibir ni soltarles una charla de 40 minutos. Lo hace con humor. Porque mis hijos van a descubrir internet conmigo o sin mí. Van a usar redes. Van a hablar con gente que no conocen. Van a encontrarse contenido que no entienden. Y seguramente cometerán errores. Pretender evitar absolutamente todo me parece imposible. Para mí hay algo mucho más importante, que cuando ocurra algo extraño, incómodo o que no entiendan, tengan la confianza suficiente para venir y contármelo. Además, en mi caso sería bastante hipócrita convertir la tecnología en el enemigo. Mis hijos saben que gran parte de mi vida profesional ocurre en internet. Me ven trabajar con tecnología, probar herramientas y hablar de IA constantemente. Por eso prefiero enseñarles a utilizarla. Con límites, por supuesto, pero también con curiosidad, criterio y confianza. Porque quizá proteger a nuestros hijos en internet no consiste en vigilar cada pantalla que miran. Consiste en conseguir que nunca tengan miedo de enseñarnos lo que aparece en ella.

    1.3K510131771K viewsView on X
  • Oct 3, 202616x their median

    No sé jugar al ajedrez, pero tiene bastante sentido. https://t.co/bt2ixj9Uwb

    1.5K14311672K viewsView on X
  • Oct 1, 202611x their median

    Dile a ChatGPT que lo vas a desinstalar y comparte una captura de su respuesta en los comentarios. Empiezo yo 😂 https://t.co/rDhFp3Krnz

    8008217624262K viewsView on X
  • Sep 25, 202610x their median

    Puedes convertir un libro entero en contenido visual con ChatGPT. He hecho la prueba con "Hábitos Atómicos". Solo tienes que adjuntar el libro y utilizar estos 4 comandos. El resultado es una locura 👇 https://t.co/t2JUd72ejU

    86317816898K viewsView on X
  • Sep 28, 202610x their median

    🚨Ivan Nardini, experto AI/ML, te enseña a convertir una idea en una app real. Guarda esta CLASE MAGISTRAL de 26 minutos que he subtitulado al español. https://t.co/giH9yjuLsc

    8331870143K viewsView on X
  • Sep 28, 20264.8x their median

    Una de las tareas más absurdas que repetíamos en GptZone era volver a descubrir por qué un contenido había funcionado. Publicábamos un post que se hacía viral. Semanas después queríamos replicarlo y empezaba lo de siempre: ¿Fue el tema? ¿El hook? ¿La estructura? ¿Qué decían las métricas? Primero intentamos solucionarlo con una hoja de cálculo donde guardábamos nuestros mejores contenidos, resultados y aprendizajes. El problema era que había que mantenerla actualizada y volver a analizar todo manualmente cada vez. Así que hicimos una prueba con Viktor. Viktor es un empleado basado en IA que funciona en Slack y Microsoft Teams y se conecta a más de 3.200 herramientas. Le pedimos que recuperara el contexto de nuestras noticias y posts virales, analizara sus métricas, identificara los patrones que se repetían y preparara las siguientes piezas basándose en esos datos. 30 minutos después teníamos 10 nuevas noticias listas para revisar. No empezó desde cero. Utilizó lo que nuestro equipo ya había aprendido. Nosotros revisamos las propuestas, hicimos los ajustes y decidimos qué publicar. Y ahí entendí que una de las aplicaciones más interesantes de la IA quizá no sea generar más ideas. Es evitar que tu equipo olvide por qué funcionaron las buenas. Porque publicar algo viral una vez puede ser suerte. Convertir lo aprendido en un proceso es otra cosa. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. En colaboración con Viktor

    390967098K viewsView on X
  • Sep 23, 20264.2x their median

    ¡Ayer se lanzó Claude Opus 5.5 y JODER, ES UNA LOCURA! Lo que la gente está construyendo empieza a ser ridículo. Y esto acaba de empezar. 27 EJEMPLOS SALVAJES:

    35462112139K viewsView on X
  • Sep 9, 20263.1x their median

    ÚLTIMA HORA: Si no utilizas a Claude en tu trabajo, ya vas con retraso. Copia estos 10 prompts: Guarda esto antes de que se vuelva viral.

    263472149K viewsView on X
  • Sep 10, 20263.0x their median

    🚨UN PSICÓLOGO EXPLICÓ POR QUÉ LOS NIÑOS DE LOS 90 PIENSAN DIFERENTE A LA GENERACIÓN Z. Y cuanto más lo pienso, más sentido tiene. Antes encendías la consola y tenías:

    2485193170K 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 102 interactions against 219K followers, an engagement rate of 0.047%. Measured over 45 original posts, its engagement rate beats 46% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 25K times each, and 0.406% of those impressions turn into an interaction. That is about 11.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 45 posts sampled, 73% carry an image or video and 42% are part of a thread. The account's strongest tracked post pulled 4.1K interactions, about 41x its own typical post.

What is Miguel Ángel | GptZone's engagement rate on X?
Miguel Ángel | GptZone (@MiguelMaestroIA) has an engagement rate of 0.047%, based on the median interactions across 45 original posts from the last 30 days against 218,865 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.047%, Miguel Ángel | GptZone sits above the 25th percentile of the 205,582 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 @MiguelMaestroIA have real engagement?
Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @MiguelMaestroIA post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 4.63 posts per day across the measured window.

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