Barbijaputa engagement report
@Barbijaputa - 251K followers on X
Measured over 36 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
A typical post picks up 632 interactions against 251K followers, an engagement rate of 0.251%. Measured over 36 original posts, its engagement rate beats 75% of 19,932 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 31K times each, and 2.05% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.7 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 36 posts sampled, 42% carry an image or video, 8% are part of a thread and 25% link out. The account's strongest tracked post pulled 23K interactions, about 36x its own typical post.
Measured over 36 original posts from a 30-day window, last computed on September 26, 2026. Recurring tag: #canarias.
Compared with accounts its own size
Barbijaputa's engagement rate beats 75% of the tracked X accounts closest to it in follower count (19,932 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 64% 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 0.251%, Barbijaputa sits above the 50th percentile of the 201,225 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 99th percentile | 82.4% |
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 20:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 42% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 25% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 42% 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 278 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 30, 202636x their median
"Women are more than just vaginas" Terfs: no that is all we are😡
- Sep 23, 202621x their median
Vamos a explicar bien el caso MARICARMEN. Mari Carmen tenía un piso de renta antigua. Renta que había heredado de sus padres. Mari Carmen llevaba setenta años de alquiler, SETENTA AÑOS. El contrato tenía una cláusula de prórroga forzosa: Establecía el derecho del inquilino a la renovación obligatoria del contrato de manera indefinida hasta su fallecimiento. Era un contrato de Subrogación familiar: Permitia que el cónyuge, los hijos o los padres que vivían en la vivienda heredaran o se subrogaran en el contrato de alquiler tras la muerte del titular principal, alargando la vigencia durante décadas. Mari Carmen había heredado el alquiler de su padre. Por eso llevaba setenta años viviendo de alquiler. SETENTA AÑOS. El contrato tenía una cláusula de congelación de precios: el contrato Mantenía las rentas sumamente bajas y desvinculadas de la inflación o la evolución del mercado inmobiliario. Mari Carmen pagaba 500 euros por un piso cuyo alquiler normal estaría en 2.500 como poco El anterior propietario perdía dinero con ese piso porque él tiene que pagar el IBI, los impuestos, la tasa de limpieza y los arreglos, y nunca consiguió que Mari Carmen ni su familia le ayudaran. Obviamente el anterior propietario vendió el piso a un fondo buitre. Claro. No podía hacer otra cosa. El fondo buitre tenía el dinero suficiente para empezar a contratar abogados. ( Algo que no tenía el anterior propietario). Mari Carmen ha tenido 70 años para ahorrar muchísimo dinero porque ha estado pagando un alquiler de broma. Pero daba por hecho que era su derecho tener un alquiler para siempre y por un precio mínimo. Que le había venido Dios a ver para concederle un privilegio de vivir en la mejor zona de Madrid ¡con vistas al retiro! por un precio irrisorio. Para mí y Mari Carmen ni su familia son víctimas puesto que han sido privilegiados durante siete décadas, que se dice pronto. Cuando finalmente desahucian a Mari Carmen, un primo se ofrece a alojarle en su casa pero ella no quiere. Ella quiere vivir en "su casa". Pero es que esa casa no era suya. Siento mucho que una anciana de ochenta y siete años se encuentre en esa situacion, pero también siento que unas leyes tan locas hagan que mi barrio esté lleno de fondos buitres. Porque solo los fondos buitres pueden comprar este tipo de pisos o pueden hacerse cargo de pisos con ocupas. ¿Quién ha traído los fondos buitres a Lavapiés? El gobierno que hace que los pequeños propietarios se vean obligados a vender porque no les queda otra. QUE NO TE ENGAÑEN.
- Sep 19, 202610x their median
At least 9 men ran in the Female category in parkrun UK today. This man got 1st Female.👇For the woman whom he bumped down to 2nd, it would have been her first ever 1st Female finish in 126 parkruns. Suck it up, Ladies! Men are more important! … https://t.co/D4lg1ZvYQD
- Sep 23, 20269.9x their median
1 helicóptero, +15 furgonetas, +50 efectivos policiales para golpear y arrastrar a cientos de activistas que intentaron frenar el desahucio a Maricarmen de 87 años, que lleva viviendo en su casa desde hace 70 y no ha dejado de pagar ni un mes el alquiler. Estado Criminal. https://t.co/2RYSU0jQ74
- Sep 23, 20269.6x their median
Casa47, como parte del Ministerio de Vivienda, ha querido comprar el piso de Maricarmen, y este fondo se ha negado. ¿Qué han hecho Ayuso y Almeida para evitar el desahucio? NADA, como siempre. No todas las administraciones han intentado pararlo. https://t.co/z3CA5aFxdU
- Aug 31, 20268.4x their median
One of the most brutal scenes in human history has been exposed. Israeli soldiers opened fire on thousands of starving Gazans as they ran in desperation for a piece of food during the war on Gaza. A moment the world must never forget. https://t.co/xWrqqtwBPj
- Sep 16, 20267.0x their median
👀 No puede ser real que haya escrito eso, que lo quiera compartir públicamente, que un medio lo publique Y no, no es parte del guión de El Cuento de la Criada, es el artículo de Lena Dunham Creo que pocos -y pocas- entendieron el final de la serie… https://t.co/Lxy8jBQ9Y2
- Sep 3, 20266.8x their median
No sé vosotras, pero yo siento pánico al ver las calles llenas de banderas de la cruz de Borgoña, el toro de Osborne, el aguilucho, nazis orgullosos y violentos agrediendo a periodistas... Miedo que quieran hacernos creer que esto es simplemente una genuina preocupación por Ceuta
- Sep 24, 20265.9x their median
Llevo mucho tiempo diciéndolo: En España habrá un 15M de la vivienda cuando gobierne la derecha. Ya se están poniendo los mimbres.
- Aug 28, 20263.7x their median
My latest for @Quillette: A "trans-inclusive" Australian Rules Football team in California allowed a 6'1" man to compete with the women. Our Quillette investigation identified him as an ex-con who'd been sentenced to 41 years in jail for raping children. https://t.co/X2rhE4jJgS https://t.co/ACG1RxMIMq
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
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 632 interactions against 251K followers, an engagement rate of 0.251%. Measured over 36 original posts, its engagement rate beats 75% of 19,932 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 31K times each, and 2.05% of those impressions turn into an interaction. That is about 12.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.7 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 20:00 UTC, and Wednesday is the busiest day of the week. Of the 36 posts sampled, 42% carry an image or video, 8% are part of a thread and 25% link out. The account's strongest tracked post pulled 23K interactions, about 36x its own typical post.
- What is Barbijaputa's engagement rate on X?
- Barbijaputa (@Barbijaputa) has an engagement rate of 0.251%, based on the median interactions across 36 original posts from the last 30 days against 250,867 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.251%, Barbijaputa sits above the 50th percentile of the 201,225 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 @Barbijaputa have real engagement?
- Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (19,932 accounts), which puts it in the top 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 @Barbijaputa post?
- Most posts go out around 20:00 UTC, and Wednesday is its busiest day, at roughly 4.7 posts per day across the measured window.