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xIA engagement report

@xiathis - 111K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Per follower
0.332%
of 111K followers
Per impression
1.11%
33K views on a typical post
Reach
29.9%
of its followers see a post
Typical post
368
interactions (median)
Saved
0.359%
119 bookmarks on a typical post
Posting rate
1.5/day
active 70% of days
Peak time
12:00 UTC
Sunday

Early reading. We have captured 3 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 368 interactions against 111K followers, an engagement rate of 0.332%. Posts are seen about 33K times each, and 1.11% of those impressions turn into an interaction. That is about 29.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 132K interactions, about 360x its own typical post. Recurring topics include #eazo, #personalagent. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 3 original posts from a 30-day window, last computed on October 10, 2026. Recurring tags: #eazo, #personalagent.

Where this sits in the catalog

At 0.332%, xIA sits above the 50th percentile of the 201,130 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,130 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,900 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 12:00 UTC, and Sunday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 0% 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 226 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

  • Nov 30, 2022360x their median

    today we launched ChatGPT. try talking with it here: https://t.co/uWra8LKFMN

    103K13K4.5K12KView on X
  • Sep 30, 20262.0x their median

    CURSO COMPLETO DE CLAUDE (1 hora) (Construye y automatiza cualquier cosa) Subtitulado en español Descubrirás muchas cosas interesantes que podrás aplicar por tu cuenta. https://t.co/4FDnHHnhX6

    6211118133K viewsView on X
  • Sep 24, 2026

    Una persona acaba de reconstruir un espacio y tiempo en 4D desde un video 2D geolocalizado. Cada fotograma genera gaussianas 3D situadas donde y cuando sucedieron. El ciervo se ve claramente como un milpiés de instantes, ilustrando la visión de seres superiores que captan toda la existencia simultáneamente según Vonnegut

    321329660K viewsView on X
  • Sep 7, 2026

    🚨 ADIÓS A LA EDICIÓN DE VIDEO Alguien acaba de crear una herramienta de edición de video gratuita para Claude Code... y es una locura. Literalmente solo tienes que soltar tu material sin procesar + archivos en una carpeta. Eso es todo. Se encarga de TODO: •Corta los clips •Elimina las palabras de relleno •Añade subtítulos •Aplica corrección de color y filtros •Maneja animaciones •Renderiza el video final Sin línea de tiempo. Sin edición manual. Sin rodeos. Honestamente, esto va más allá de herramientas como Remotion. No solo te ayuda a crear videos… hace la edición por ti. El proyecto es open source en GitHub. Se llama Video Use. link debajo ⬇️

    492204.6K viewsView on X
  • Sep 6, 2026

    Dejó su trabajo en marketing a los 35 años, se obsesionó con la Inteligencia Artificial y generó $360,000 en un solo mes usando Claude. ¿Su secreto? Construir un motor de simulación de precios de Bitcoin. Usando a Claude como el "cerebro" detrás del algoritmo, logró automatizar ganancias de entre $5,000 y $15,000 por operación. (Puedes comprobar su billetera aquí: https://t.co/RSDwGP0GBx) Así es como funciona su sistema: ⚡ Detección instantánea: Su algoritmo rastrea los mercados cripto y ejecuta operaciones en el milisegundo en que detecta un precio erróneo. 📊 Datos exclusivos: Se alimenta de order book data (libros de órdenes cerrados) y mesas OTC privadas para tener información que el trader promedio no ve. 🔮 La verdadera magia: Antes de actuar, el motor corre 10,000 ciclos de simulación para predecir exactamente cómo reaccionará el mercado. Gracias a esto, lleva $366k en ganancias totales apostando constantemente en contra de la multitud, simplemente porque su sistema lee el mercado mejor que nadie. Esto ya no se trata de trazar líneas o "adivinar hacia dónde irá el gráfico". Esto es dinero ingenierizado: la fusión pura entre matemáticas, datos exclusivos e Inteligencia Artificial.

    431303.7K viewsView on X
  • Oct 4, 2026

    Si buscas "claude_desktop_config" en GitHub, encontrarás cientos de claves de API de Anthropic expuestas Gracias, vibe coders 👍 https://t.co/Qi9XIc9G4E

    241302.7K viewsView on X
  • Sep 8, 2026

    No estás usando el 100% de Claude Code hasta que instales esto. Se llama Everything Claude Code y es el toolkit open source más completo que he visto. → 30 agents, 64 skills, 33 commands → AgentShield integrado con 1.282 tests de seguridad → planificación, code review, fixes, TDD y optimización de tokens → funciona en Claude Code, Cursor, OpenCode y Codex CLI Un repo que reemplaza semanas de setup. 100% gratis y Open source. Te dejo el enlace abajo👇 Guarda este post para no perderlo 🔖

    200102.1K 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

#eazo#personalagent

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 368 interactions against 111K followers, an engagement rate of 0.332%. Posts are seen about 33K times each, and 1.11% of those impressions turn into an interaction. That is about 29.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 132K interactions, about 360x its own typical post. Recurring topics include #eazo, #personalagent. Only 3 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is xIA's engagement rate on X?
xIA (@xiathis) has an engagement rate of 0.332%, based on the median interactions across 3 original posts from the last 30 days against 110,878 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.332%, xIA sits above the 50th percentile of the 201,130 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 @xiathis have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @xiathis post?
Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 1.5 posts per day across the measured window.

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