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Pablo Evans engagement report

@PabloEvans0 - 132K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Per follower
0.004%
of 132K followers
Per impression
0.192%
3.1K views on a typical post
Reach
2.36%
of its followers see a post
Typical post
6
interactions (median)
Saved
0.064%
2 bookmarks on a typical post
Posting rate
2/day
active 47% of days
Peak time
15:00 UTC
Wednesday

Early reading. We have captured 5 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 6 interactions against 132K followers, an engagement rate of 0.004%. Posts are seen about 3.1K times each, and 0.192% of those impressions turn into an interaction. That is about 2.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video and 20% link out. The account's strongest tracked post pulled 503 interactions, about 84x its own typical post. Recurring topics include #messinator, #pixverseworldmodel. Only 5 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 5 original posts from a 30-day window, last computed on September 30, 2026. Recurring tags: #messinator, #pixverseworldmodel.

Where this sits in the catalog

At 0.004%, Pablo Evans sits above the 10th percentile of the 205,374 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 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 percentile0.143%
75th percentile0.678%
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 Wednesday 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video60% of posts+111%+108% to +115%34K
Outbound link20% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 60% 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.
  • 20% 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 903 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 16, 202684x their median

    Anthropic engineer: "You're not supposed to watch Claude Code work You're supposed to wake up and review what it shipped" In 22 minutes, she builds the entire asynchronous workflow live, step by step from an empty terminal Chat Prompts → Assistant Mode → Continuous Loops → Graphs → Autonomous Production Most people close their laptop and everything stops This setup keeps running in a persistent verification loop executing tests, patching edge cases, and getting sharper the longer it runs If this were a $500 course, people would call it the best agentic engineering breakdown of the year You probably think you don't have 22 minutes right now Don't let this vanish from your feed Watch the video first Then save the exact setup guide below

    324108674313K viewsView on X
  • Jul 28, 202610x their median

    ¿Quieres dejar de pagar varias suscripciones? ✅ ChatGPT ✅ Claude ✅ Perplexity ✅ ElevenLabs ✅ Canva Pro ✅ Leonardo AI Todo desde 29€/mes. Si quieres saber cómo acceder, comenta "IA". https://t.co/vF0XzGTMDl

    25726212K viewsView on X
  • Sep 23, 20264.7x their median

    China ya no está simplemente intentando construir mejores modelos de IA. Está construyendo una pila completa. Seguí online la Apsara Conference 2026 de Alibaba y hubo algo que me llamó especialmente la atención. Alibaba presentó su nuevo chip de IA, Zhenwu V900. Según la compañía: → 3x el rendimiento de su generación anterior → clusters de hasta 500.000 chips → más de 20 GW de capacidad de centros de datos para 2032 → modelos Qwen de hasta 5-10 billones de parámetros en su hoja de ruta Pero los números no son lo más interesante. Lo interesante es la estrategia. Gran parte de la conversación sobre IA se concentra en quién tiene el mejor modelo. Alibaba parece estar jugando a un juego más amplio: Chips. Infraestructura. Cloud. Modelos. Todo desarrollado dentro del mismo ecosistema. Y cuanto más sigo lo que están construyendo, más creo que esa integración vertical es la parte realmente interesante de su estrategia. No se trata únicamente de hacer Qwen más grande o más potente. Se trata de construir la infraestructura necesaria para entrenar, desplegar y escalar esos modelos durante los próximos años. Después de seguir Apsara, me queda bastante claro algo: Para entender hacia dónde va la IA, ya no basta con mirar quién lidera los benchmarks. También hay que mirar quién está construyendo toda la infraestructura que hay debajo. https://t.co/TUBz1yxNjS

    135828.0K viewsView on X
  • Sep 28, 2026

    China está considerando permitir que ByteDance y Alibaba compren el RTX PRO 5500 de Nvidia. Según The Information, el ministerio chino incluso pidió a varias empresas que informaran sus planes de compra. Ese chip atraviesa dos controles. Washington decide qué puede exportarse. Pekín decide qué empresa puede importar. Nvidia puede tener demanda, producto y comprador, y aun así no tener mercado hasta recibir dos permisos soberanos. Esto convierte el acceso al compute en una herramienta de negociación. Las empresas chinas obtienen capacidad. Nvidia recupera ventas. El Gobierno chino conserva la llave y puede premiar a ciertos compradores. La ventaja ya no está solo en diseñar el mejor acelerador. También está en ocupar la excepción correcta dentro de una guerra comercial. Y esa excepción puede cerrarse con una circular.

    51002.3K viewsView on X
  • Sep 16, 2026

    OpenAI reconoce que lleva semanas hablando con Anthropic y Google DeepMind sobre seguridad de la IA. Dice que no necesita una exención antimonopolio para hacerlo. Un incidente en un modelo de frontera no respeta logotipos, así que cierta coordinación tiene sentido. El problema aparece cuando los tres laboratorios con más capacidad también deciden qué riesgo cuenta, qué evaluación se acepta y qué competidor queda fuera de la conversación. La única salida aceptable es bastante concreta: estándares públicos, resultados reproducibles y auditores que no dependan del permiso del laboratorio para contar lo que ven. Por ahora no hay acuerdo público. Solo sabemos que los incumbentes ya están diseñando juntos una respuesta antes de que el Estado haya definido el campo de juego. Eso merece más vigilancia que admiración.

    30001.5K viewsView on X
  • Sep 17, 2026

    Cohere y Aleph Alpha han cerrado un acuerdo de fusión valorado en unos 20.000 millones de dólares, todavía pendiente de aprobación regulatoria. La empresa conservaría sedes en Toronto y Berlín. Schwarz Group añade 500 millones de euros y StackIT aporta cómputo desde Alemania, con un centro previsto para hasta 100.000 chips de IA. Se venderá como soberanía europea. Pero la operación cuenta otra cosa: un modelo soberano sin capital, distribución empresarial y capacidad de cómputo es solo una preferencia técnica cara. Europa no está comprando independencia completa. Está intentando juntar suficientes dependencias bajo una estructura que pueda gobernar. Puede ser sensato. Llamarlo autonomía total sería marketing.

    10003.1K 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

#messinator#pixverseworldmodel

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 6 interactions against 132K followers, an engagement rate of 0.004%. Posts are seen about 3.1K times each, and 0.192% of those impressions turn into an interaction. That is about 2.37% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video and 20% link out. The account's strongest tracked post pulled 503 interactions, about 84x its own typical post. Recurring topics include #messinator, #pixverseworldmodel. Only 5 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 Pablo Evans's engagement rate on X?
Pablo Evans (@PabloEvans0) has an engagement rate of 0.004%, based on the median interactions across 5 original posts from the last 30 days against 132,212 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Pablo Evans sits above the 10th percentile of the 205,374 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 @PabloEvans0 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @PabloEvans0 post?
Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 2 posts per day across the measured window.

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