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Santiago engagement report

@svpino - 457K followers on X

Measured over 51 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Middle of its size range
Per follower
0.043%
of 457K followers
Per impression
0.795%
25K views on a typical post
Reach
5.41%
of its followers see a post
Typical post
196
interactions (median)
Saved
0.215%
53 bookmarks on a typical post
Posting rate
4.87/day
active 97% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 196 interactions against 457K followers, an engagement rate of 0.043%. Measured over 51 original posts, its engagement rate beats 57% 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 25K times each, and 0.795% of those impressions turn into an interaction. That is about 5.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 51 posts sampled, 43% carry an image or video, 12% are part of a thread and 39% link out. The account's strongest tracked post pulled 51K interactions, about 259x its own typical post.

Measured over 51 original posts from a 30-day window, last computed on September 22, 2026.

Compared with accounts its own size

Santiago's engagement rate beats 57% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 41% 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 0.043%, Santiago sits above the 25th percentile of the 205,261 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 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video43% of posts+111%+108% to +115%34K
Outbound link39% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 43% 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.
  • 39% 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 545 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

  • Jan 5, 2023259x their median

    AI will not replace you. A person using AI will.

    42K6.8K1.0K8935.4M viewsView on X
  • Sep 3, 202610x their median

    A buttload of developers are going through a tough time right now. Their identity has always been tied to their ability to write code, so now they feel threatened by this new era where *anyone* can write code. If they don't write code anymore, who are they? I'm very pragmatic, and yet I've struggled with this too, so I totally understand how tough it must be for others. You'll hear from these people everywhere. They are the ones fighting with everything they've got against AI-generated code. But they must understand this is an uphill battle. Manually writing code is destined to disappear. There's no going back.

    1.5K11334770162K viewsView on X
  • Sep 7, 20268.3x their median

    Meet a developer who can't use AI because his company doesn't let him. He knows this is probably the last developer job he will ever have. If he gets laid off, he will be years behind everyone else. Scary place to be. I told him to find a new job.

    1.3K4725423104K viewsView on X
  • Aug 19, 20266.9x their median

    for its entire existence, the creation of software has been an incredibly unreliable endeavor most projects ran late, over budget, and still missed user needs if you were an SMB, you simply couldn't get good software built for you this is the promise of the 'software factory'

    1.2K468816147K viewsView on X
  • Aug 19, 20266.3x their median

    It's been a couple of weeks since I migrated from Claude Code to Codex, and I don't miss a single thing. No, I don't care about Fable. No, I don't believe Opus is better than Sol. I'm doing everything I was doing before. It took me a day to get used to the change. Anthropic's products have zero stickiness. Anyone can migrate away from them in an hour.

    1.0K29161788K viewsView on X
  • Aug 26, 20265.4x their median

    Today we’re introducing Navigator n2. It’s a frontier computer-use model, with just 27B parameters. https://t.co/8MiJNtk3CD

    905725132781K viewsView on X
  • Aug 25, 20264.7x their median

    Oh boy, the new Mac Studio M5 ULTRA with 256GB of RAM is out now. This is the dream for people who want to run local models. https://t.co/gCixambMq4

    7483411723187K viewsView on X
  • Sep 2, 20264.3x their median

    Two years ago, people would scream at you if you said that writing code was obsolete. Today, most people agree: writing code is no longer viable. Now, we are living through the same exact cycle with "reading code". In a year or two, you won't be manually reading AI-generated code anymore. Code = low-bandwidth Reviewing code is doable when: • You wrote it • You have a manageable amount of it Reviewing code is not doable when: • You didn't write it • You have tons of it We are quickly moving towards "infinite, ~free automatically generated code". It's crazy to think you'll still be reading every line of code in a year or two.

    626451462580K viewsView on X
  • Sep 12, 20264.0x their median

    I read some of my old posts about using AI to write code, and I now disagree with a lot of them. I went from "AI-writes-shit-code" to "AI-writes-better-code-than-everyone" in about 6 months. I also read some of the code I wrote 10 years ago. If I show you, you'll never want to talk to me again. It's bad. And that was my peak. The time when I thought I was the best coder in the world. The best models today still make mistakes, and it's easy to point at them and laugh, but spend five minutes going through your old code and you won't laugh anymore.

    618351241340K viewsView on X
  • Sep 4, 20263.8x their median

    Many people have no idea what's happening. They can't conceive that developers out there are deploying AI-generated code, because in their bubble, everyone is still writing Java code and running Scrum retrospectives. One sunny afternoon, their CTO will meet a modern developer at church; they will talk about the possibilities and how AI can change their business. A month later, these dinosaurs will face a tough decision: either get up with the times, or find another job.

    587341141475K 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 196 interactions against 457K followers, an engagement rate of 0.043%. Measured over 51 original posts, its engagement rate beats 57% 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 25K times each, and 0.795% of those impressions turn into an interaction. That is about 5.39% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 51 posts sampled, 43% carry an image or video, 12% are part of a thread and 39% link out. The account's strongest tracked post pulled 51K interactions, about 259x its own typical post.

What is Santiago's engagement rate on X?
Santiago (@svpino) has an engagement rate of 0.043%, based on the median interactions across 51 original posts from the last 30 days against 457,205 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.043%, Santiago sits above the 25th percentile of the 205,261 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 @svpino have real engagement?
Its engagement rate beats 57% 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 @svpino post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 4.87 posts per day across the measured window.

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