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Antonio Rodríguez engagement report

@Antonio_RodriIA - 228K followers on X

Measured over 8 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Bottom quarter for its size
Per follower
0.007%
of 228K followers
Per impression
0.253%
6.7K views on a typical post
Reach
2.94%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.149%
10 bookmarks on a typical post
Posting rate
3.17/day
active 93% of days
Peak time
15:00 UTC
Monday

A typical post picks up 17 interactions against 228K followers, an engagement rate of 0.007%. Measured over 8 original posts, its engagement rate beats 21% of 20,183 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 6.7K times each, and 0.253% of those impressions turn into an interaction. That is about 2.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video, 88% are part of a thread and 25% link out. The account's strongest tracked post pulled 1.5K interactions, about 91x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

Antonio Rodríguez's engagement rate beats 21% of the tracked X accounts closest to it in follower count (20,183 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 15% 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 0.007%, Antonio Rodríguez sits above the 10th percentile of the 204,313 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,313 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,878 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 percentile0.677%
90th percentile2.55%
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 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 video75% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% 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.
  • 25% 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 495 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 19, 202691x their median

    En 2026 no necesitas pagar por ningún libro. La gente sigue comprando en Amazon sin saber que existe esto. 8 sitios donde descargar libros en PDF completamente gratis:

    1.2K3272211190K viewsView on X
  • Sep 2, 20263.9x their median

    ❌ Suscripciones que NO sirven de NADA: ・Netflix ・Duolingo ・Tinder Gold ・ChatGPT Pro ・LinkedIn Premium ✅ Suscripciones que DEBERÍAS pagar:

    5673121K viewsView on X
  • Sep 7, 20263.6x their median

    He encontrado este sitio web con más de 10.000 prompts y un montón de opciones para Claude, ChatGPT y Nano Banana. Está organizado por casos de uso, profesiones y mucho más. Y lo mejor de todo: es completamente gratis. (Enlace en los comentarios) https://t.co/05zAlNpRwE

    4416208.7K viewsView on X
  • Aug 28, 2026

    🚨 BOMBAZO: Seedance 2.5 está aquí! Crear una serie con IA siempre se rompía en la misma parte: el personaje cambiaba de cara entre escena y escena. Sin continuidad, no hay serie. Story Studio en Pippit + Seedance 2.5 atacan justo ese problema. Story Studio te da un lienzo (Canvas) para organizar guion, escenas y personajes en un solo sitio, en vez de generar clips sueltos al azar. Más estructura, mejor continuidad. Seedance 2.5 renderiza hasta 30s de video continuo en una sola toma, manteniendo la misma cara del personaje escena tras escena. Y con control por timestamp decides en qué segundo camina, gira o sonríe. ¿El resultado? Una sola persona puede escribir, dirigir y montar una serie episódica completa. Tu propio canal de historias, sin equipo ni presupuesto de estudio. Pruébalo y tendrás créditos gratis todos los días 👇 https://t.co/I43PkAFUmm #seedance #seedance25 #StoryStudio #PippitAI #Seedance #PippitPartner @pippitofficial

    1572019K viewsView on X
  • Sep 5, 2026

    🚨🍏 UN FINAL DE AÑO XXL PARA APPLE La marca estaría preparando el lanzamiento de 16 NUEVOS PRODUCTOS!! 📱 iPhone 18 Pro, iPhone 18 Pro Max, iPhone Ultra. 📱 iPad 12, iPad Mini OLED. ⌚️ Apple Watch Series 12, Apple Watch Ultra 4. 💻 MacBook Pro 14”, MacBook Ultra. 🖥️ Mac Studio, Mac mini, iMac. 📺 Apple TV. 🔊 HomePod, HomePod Mini. 🏠 Home Hub.

    164307.3K viewsView on X
  • Sep 7, 2026

    Ojalá hubiera tenido esto de pequeño... muchísimo. @emmanuel_2m ha creado sets de LEGO a partir de cualquier imagen con GPT-6 Astra. Solo tienes que subir una imagen —o describir una idea en unas pocas palabras— y obtienes un set de LEGO completamente construible, 100 % personalizado según tu prompt o imagen. Está optimizado estructuralmente para que realmente pueda construirse. Puedes descargarlo como archivo .ldr. Y pronto también generará un manual de instrucciones.

    62305.4K viewsView on X
  • Sep 11, 2026

    Microsoft vuelve a mover ficha. Una pequeña herramienta de Python acaba de dispararse hasta lo más alto de las tendencias de GitHub. Más de 100.000 estrellas. Se llama MarkItDown. Y hace algo engañosamente simple: Convierte casi cualquier archivo en Markdown limpio. PDFs. Documentos de Word. Presentaciones de PowerPoint. Archivos de Excel. Imágenes. Subes un archivo. Obtienes Markdown estructurado. Parece algo pequeño. No lo es. Porque uno de los mayores cuellos de botella en los workflows de IA —especialmente en sistemas RAG— es convertir documentos reales y desordenados en un formato que los modelos puedan utilizar correctamente. Y los documentos del mundo real son brutales. Los PDFs son caóticos. Los documentos de Word están llenos de formato oculto innecesario. Los PowerPoints son desordenados y suelen contener muchas imágenes. Las hojas de cálculo pueden ser una pesadilla de procesar correctamente. Ahí es donde esto se vuelve interesante. MarkItDown elimina esa fricción y te entrega algo con lo que los pipelines de LLM pueden trabajar de verdad. En otras palabras: menos preprocesamiento, menos problemas, implementación de IA más rápida. Y lo mejor es que no se trata de un proyecto secundario cualquiera. Es una herramienta open source oficial de Microsoft. Gratis. Utilizable comercialmente. Práctica. La probé con un PDF de 200 páginas. Unos segundos después, tenía un Markdown sorprendentemente limpio. Y esto es lo que las grandes tecnológicas hacen mejor cuando aciertan: Toman un problema universal y molesto que todo el mundo estaba solucionando con parches… …y lo convierten en un estándar simple. Por eso importa. No es solo una herramienta de conversión de archivos. Es infraestructura para la próxima ola de aplicaciones de IA. Consíguelo aquí: https://t.co/Bu11CQsIGM

    23101.5K viewsView on X
  • Sep 26, 2026

    UN CAPCUT GRATIS QUE ADEMÁS EDITA SOLO SI SE LO PIDES A TU AGENTE Sin marcas de agua. Sin paywalls. Licencia MIT y 87k stars. Trae servidor MCP. → Conectas Claude Code o Cursor al editor → Le pides los cortes y los hace en el timeline → Funciona en web, escritorio y móvil → Lo están reescribiendo en Rust con plugins Se llama OpenCut. Dejar de editar vídeo y empezar a pedirlo. Ese es el salto. 🔖 Guárdatelo.

    20306.1K viewsView on X
  • Sep 28, 2026

    Incluso Opus 5.5 no puede ayudarte sin referencias geniales. Añade estas referencias para mejorar tu sitio web: https://t.co/14E9DxC5Ak — Plantillas https://t.co/BshWY2abb8 — Más de 1,300 páginas de sitios web https://t.co/WOSA50o5eA — Referencias visuales https://t.co/GlbNQLnzB5 — Secciones de movimiento

    10105.2K 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 17 interactions against 228K followers, an engagement rate of 0.007%. Measured over 8 original posts, its engagement rate beats 21% of 20,183 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 6.7K times each, and 0.253% of those impressions turn into an interaction. That is about 2.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video, 88% are part of a thread and 25% link out. The account's strongest tracked post pulled 1.5K interactions, about 91x its own typical post.

What is Antonio Rodríguez's engagement rate on X?
Antonio Rodríguez (@Antonio_RodriIA) has an engagement rate of 0.007%, based on the median interactions across 8 original posts from the last 30 days against 228,123 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Antonio Rodríguez sits above the 10th percentile of the 204,313 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 @Antonio_RodriIA have real engagement?
Its engagement rate beats 21% of the tracked X accounts closest to it in follower count (20,183 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 @Antonio_RodriIA post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 3.17 posts per day across the measured window.

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