Back to @SantiagoAuFund's profile

Santiago Capital engagement report

@SantiagoAuFund - 347K followers on X

Measured over 26 original posts from a 30-day window, last computed on October 8, 2026.

Engagement

Top quarter for its size
Per follower
0.227%
of 347K followers
Per impression
2.33%
34K views on a typical post
Reach
9.74%
of its followers see a post
Typical post
784
interactions (median)
Saved
0.1%
34 bookmarks on a typical post
Posting rate
3.27/day
active 23% of days
Peak time
14:00 UTC
Sunday

A typical post picks up 784 interactions against 347K followers, an engagement rate of 0.227%. Measured over 26 original posts, its engagement rate beats 82% of 24,308 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 34K times each, and 2.33% of those impressions turn into an interaction. That is about 9.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 26 posts sampled, 81% carry an image or video and 8% link out. The account's strongest tracked post pulled 112K interactions, about 143x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on October 8, 2026. Recurring tag: #rentfree.

Compared with accounts its own size

Santiago Capital's engagement rate beats 82% of the tracked X accounts closest to it in follower count (24,308 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 69% 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 0.227%, Santiago Capital sits above the 50th percentile of the 244,015 accounts in this comparison. That places it in the above the median band, which runs 0.158% to 0.745%.

p100.004%
p250.027%
p50 (median)0.158%
p750.745%
p902.77%
p9982.4%
Engagement rate as a share of followers, across the 244,015 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 20,103 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 percentile0.027%
50th percentile0.158%
75th percentile0.745%
90th percentile2.77%
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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video81% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 81% 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.
  • 8% 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 267 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

  • Sep 13, 2026143x their median

    NYT asked a bunch of ten year olds what life will be like in 2050. https://t.co/SSOPT6IuWQ

    106K4.9K4816924.2M viewsView on X
  • Sep 14, 202632x their median

    Meanwhile, at the Federal Reserve Bank of New York https://t.co/VS7IomIYIH

    22K2.3K4553171.7M viewsView on X
  • Sep 2, 202620x their median

    Any day. https://t.co/RZjPMakR0q

    14K1.2K286132820K viewsView on X
  • Sep 1, 20268.6x their median

    ⚡️JUST IN Iran's Ghalibaf on The American Naval Blockade: "We will no longer Wait, Military Siege is the worst form of warfare If they intensify the Blockade, we will definitely give a Military Response and everyone will Suffer If the enemy's will is that we cannot Export Oil, no one will be able to Export Oil Specially, the Americans will feel it in their Bones"

    5.3K1.3K13027257K viewsView on X
  • Sep 14, 20267.8x their median

    NEW: Democrat Pete Buttigieg says America is ready for a gay president. https://t.co/tfdEogpXKW

    1.0K1674.3K6703.1M viewsView on X
  • Sep 13, 20264.8x their median

    Ryan Day with an all-time quote after losing to Texas: "We didint lose, we just ran out of time." https://t.co/bmszR6rl4v

    2.8K177584194375K viewsView on X
  • Apr 10, 20253.9x their median

    This should be twitters motto https://t.co/cbLDEKVzjk

    2.4K45613834609K viewsView on X
  • Oct 8, 20262.5x their median

    Mark Carney: "In three weeks, the President of the European Commission, Ursula von der Leyen, and the President of the European Council, António Costa, will be in Montreal. And that is when Canada will launch a new transformative alliance with the European Union." https://t.co/mtGM7YIogk

    1.3K3232655035K viewsView on X
  • Sep 13, 20262.2x their median

    Foreigners are now 60% allocated to U.S. Equities, the highest level in history 🚨 🚨 https://t.co/4T9muSvtrD

    1.3K2784162214K viewsView on X
  • Sep 13, 20261.9x their median

    What are China’s biggest concerns about AI? A new article by Chen Yixin, China’s Minister of State Security, in the latest issue of China Cybersecurity Magazine offers some revealing clues. Chen identifies six major risks: 1. Regime security. Hostile forces and people with ulterior motives can use deepfakes, AI-generated text and images, and automated online accounts to cheaply and massively produce political rumors, spread harmful information, and incite social divisions—waging “public-opinion wars” and “cognitive warfare” against China and directly threatening its political, institutional, and ideological security. 2. Critical infrastructure. AI can enable countries and organizations to rapidly discover vulnerabilities, automatically chain together attack paths, and carry out sophisticated hacking operations, dramatically lowering the technical barriers and costs of cyberattacks against China’s critical information infrastructure. 3. Data leakage. Foreign intelligence agencies can use AI-powered web crawlers, data mining, and profiling to collect sensitive information, including critical national data, trade secrets, and citizens’ personal information. Chinese users who process sensitive information through foreign AI products or export data abroad could also cause large-scale data leaks. 4. Closed technological ecosystems. Countries with advantages in AI theory, model architecture, and computing power may invoke “national security” to impose technology controls, entity lists, monopolize technical standards, and build closed-source ecosystems, restricting other countries’ access to advanced technologies and fragmenting global AI supply chains. 5. Structural challenges to social governance. AI creates new uncertainties for social governance and public order. Algorithmic “black boxes” and data poisoning can amplify existing social biases; misuse of personal information can trigger crises of public trust; automated decision-making creates difficult questions of accountability; and the rapid development of AI is increasingly outpacing existing laws, ethics, and regulatory mechanisms. 6. A fundamental transformation of warfare. AI is pushing warfare into an era of “intelligentization.” Whoever can use algorithms to achieve more precise sensing, judgment, and targeting will gain the initiative on the battlefield. AI is moving from an auxiliary role to a central one in intelligence fusion, decision support, target identification, combat operations, and cognitive warfare. And what is the solution? Chen’s answer is revealing: strengthen “Party control over the internet” and “Party control over data,” and “transform the advantages of Party leadership into the effectiveness of AI governance.” In other words, from the CCP’s perspective, the central question is not simply AI versus no AI. Nor is it even fundamentally a contest between the US and China. It is a contest between the US and the CCP over who gets to control AI, data, information, and ultimately the future of society. And whoever wins that contest will decide the future of humanity. https://t.co/9lXlS93A7h

    1.0K30658113522K 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

#rentfree

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 784 interactions against 347K followers, an engagement rate of 0.227%. Measured over 26 original posts, its engagement rate beats 82% of 24,308 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 34K times each, and 2.33% of those impressions turn into an interaction. That is about 9.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 26 posts sampled, 81% carry an image or video and 8% link out. The account's strongest tracked post pulled 112K interactions, about 143x its own typical post.

What is Santiago Capital's engagement rate on X?
Santiago Capital (@SantiagoAuFund) has an engagement rate of 0.227%, based on the median interactions across 26 original posts from the last 30 days against 346,804 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.227%, Santiago Capital sits above the 50th percentile of the 244,015 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 @SantiagoAuFund have real engagement?
Its engagement rate beats 82% of the tracked X accounts closest to it in follower count (24,308 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 @SantiagoAuFund post?
Most posts go out around 14:00 UTC, and Sunday is its busiest day, at roughly 3.27 posts per day across the measured window.

Keep going