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Don Quijote de la IA engagement report

@IA_Quijote - 191K followers on X

Measured over 34 original posts from a 30-day window, last computed on October 13, 2026.

Engagement

Middle of its size range
Per follower
0.042%
of 191K followers
Per impression
0.641%
12K views on a typical post
Reach
6.51%
of its followers see a post
Typical post
80
interactions (median)
Saved
0.194%
24 bookmarks on a typical post
Posting rate
3.8/day
active 47% of days
Peak time
12:00 UTC
Sunday

A typical post picks up 80 interactions against 191K followers, an engagement rate of 0.042%. Measured over 34 original posts, its engagement rate beats 44% 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 12K times each, and 0.641% of those impressions turn into an interaction. That is about 6.49% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 34 posts sampled, 68% carry an image or video and 12% are part of a thread. The account's strongest tracked post pulled 14K interactions, about 172x its own typical post.

Measured over 34 original posts from a 30-day window, last computed on October 13, 2026.

Compared with accounts its own size

Don Quijote de la IA's engagement rate beats 44% 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 32% 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 0.042%, Don Quijote de la IA sits above the 25th percentile of the 205,475 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%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 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 percentile0.678%
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 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 video68% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 68% 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 304 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

  • Oct 9, 2026172x their median

    Por esto la RAM está tan cara 😅 Trump y Homelander se dan la mano... lo que pasa después es muy loco https://t.co/8Mz4DF3cKn

    12K1.5K8758610K viewsView on X
  • Oct 11, 202689x their median

    Por esto NUNCA debes subestimar la fuerza de un río. https://t.co/Lzomai5HbQ

    6.6K4232481.6M viewsView on X
  • Oct 5, 202633x their median

    ¿Pero que MARAVILLA es esta? BARCELONAAAAAAAA https://t.co/uZuzk1nzDR

    2.3K276179222K viewsView on X
  • Aug 28, 202630x their median

    Voy a decir algo incómodo... El 99% de las personas que usan Grok, ChatGPT, Claude o Gemini están usando mal la IA. Y el error siempre empieza igual: "Explícame... Hazme… Escribe…" En cuanto das una orden genérica, ya has perdido 👇

    2.0K350506871K viewsView on X
  • Sep 15, 20267.8x their median

    Tu teléfono es mucho más potente de lo que crees. Aquí tienes 15 apps que casi nadie conoce y tu smartphone necesita... Te dejarán sin palabras 🤐 https://t.co/2v860myNxu

    463141151129K viewsView on X
  • Oct 8, 20267.1x their median

    Cristiano Ronaldo acaba de llevar su rivalidad con Messi demasiado lejos... Pero el GOAT siempre gana 🐐 https://t.co/mmSgM7cQxm

    4191483110K viewsView on X
  • Oct 4, 20267.0x their median

    ¡Las transformaciones de Goku en 4D! De niño Saiyan de clase baja a desafiar a los propios dioses. ¿Cuál fue su mejor versión? 🐉🔥 https://t.co/VdOtTRW92h

    495635032K viewsView on X
  • Oct 4, 20266.2x their median

    Por ESTO los expertos le tienen tanto respeto al OCÉANO. ⚠️ NO LO ABRAS si tienes TALASOFOBIA. https://t.co/lvKEMMpEt3

    3621321014K viewsView on X
  • Sep 16, 20265.0x their median

    As AI models get better, cheaper and more widely available, we believe one of the biggest moats will be the proprietary data created by actually doing the work. Today, we’re announcing a $42M Series B led by @insightpartners for @backopsai, just six months after our $26M Series A. We’re building the intelligence and resolution layer for companies that make and move physical goods. These companies still rely on people to connect ERPs, WMSs, TMSs, carrier portals, email, spreadsheets, customers and suppliers. BackOps sits across that ecosystem, gathers context, makes decisions, takes action and carries work through to resolution. Since our Series A, one customer alone has processed 500K+ claims through BackOps. As volume grew 150x, automated resolution improved from 87% to 99%. Another took a process that averaged 28 hours and brought it down to 14 minutes. But what we’ve learned over the last six months is that the resolution itself may only be the beginning. Every time BackOps completes work, it creates proprietary data around the context, decisions, actions and outcomes behind it. At scale, that means understanding where processes break, why they break, which actions produce the best outcomes and how those processes should improve. And that gets much more interesting as BackOps expands across an ecosystem. If BackOps operates across a large grocer and the manufacturers, suppliers, distributors and carriers around it, we don’t just understand one company’s workflow. We begin to understand how work moves between them: where problems originate, how they cascade through the network and what actually resolves them. Every additional process makes that intelligence stronger. And every additional company makes the network more valuable. That’s the flywheel we’re building. Our customers shouldn’t just automate more work. They should run on an operational intelligence layer that gets better as they use it and stronger as the network around them grows. And next month, we’re launching something that unlocks a much bigger part of this vision.

    252315657609K viewsView on X
  • Oct 12, 20264.8x their median

    Muse gave your agent a computer. Instinct gave it your phone number. We gave it eyes. Introducing NewEyes AI — your personal agent with eyes. > Glasses see it. > Earphones say it. > It remembers where you left off. > "Good morning. Continue on page 212." Your world is the context.

    186645383208K 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 80 interactions against 191K followers, an engagement rate of 0.042%. Measured over 34 original posts, its engagement rate beats 44% 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 12K times each, and 0.641% of those impressions turn into an interaction. That is about 6.49% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.8 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 34 posts sampled, 68% carry an image or video and 12% are part of a thread. The account's strongest tracked post pulled 14K interactions, about 172x its own typical post.

What is Don Quijote de la IA's engagement rate on X?
Don Quijote de la IA (@IA_Quijote) has an engagement rate of 0.042%, based on the median interactions across 34 original posts from the last 30 days against 190,896 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.042%, Don Quijote de la IA sits above the 25th percentile of the 205,475 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 @IA_Quijote have real engagement?
Its engagement rate beats 44% 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 @IA_Quijote post?
Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 3.8 posts per day across the measured window.

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