Santiago engagement report
@svpino - 457K followers on X
Measured over 26 original posts from a 30-day window, last computed on October 27, 2026.
Engagement
A typical post picks up 249 interactions against 457K followers, an engagement rate of 0.054%. Measured over 26 original posts, its engagement rate beats 60% of 21,624 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 39K times each, and 0.638% of those impressions turn into an interaction. That is about 8.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 58% carry an image or video, 23% are part of a thread and 19% link out. The account's strongest tracked post pulled 51K interactions, about 204x its own typical post.
Measured over 26 original posts from a 30-day window, last computed on October 27, 2026.
Compared with accounts its own size
Santiago's engagement rate beats 60% of the tracked X accounts closest to it in follower count (21,624 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 36% 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 0.054%, Santiago sits above the 25th percentile of the 217,857 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.705% |
| 90th percentile | 2.63% |
| 99th percentile | 82.6% |
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 Tuesday 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 | 58% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 19% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 58% 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.
- 19% 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 610 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, 2023204x their median
AI will not replace you. A person using AI will.
- Oct 27, 202631x their median
The largest math proof in human history is now computer-verified. Today, Axiom announces a complete Lean auto-formalization of the Classification of Finite Simple Groups, the "periodic table of symmetry." About 15,000 pages, built by over 100 mathematicians across generations. https://t.co/Y1P26abyPQ
- Oct 27, 202613x their median
Introducing π»π΅πΌπΉ: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > π»π΅πΌπΉ-π·.π½π±: text, 256k context window. > π»π΅πΌπΉ-π π»-πΈπ±: vision-language model with video-input support for spatial understanding > π»π΅πΌπΉ-π°ππππ-πΈπ±: tool calls, voice chat, reasoning in 18 languages. > π»π΅πΌπΉ-πΎπππ-πΈπ±: an omni model combines vision, audio, and language. > ππ·-πΈπ± and ππ·-πΎπππ-πΈπ±: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > π»π΅πΌπΉ-π π»-πΈπ± is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > π»π΅πΌπΉ-π·.π½π± is #1 on the Pareto frontier of device intelligence πππππππ.ππππππ.ππ Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ π§΅
- Sep 3, 20268.1x 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.
- Oct 22, 20268.0x their median
For some people, coding was the only valuable skill they had. If you made your money by selling your ability to write JavaScript, CSS, Python, or whatever else, I understand why you are pissed now. "Writing code" is worth very little today. The sad part is that learning to code wasn't easy. It takes years for someone to become a skilled programmer. Imagine watching all of those years go down the drain. If you are a programmer (I mean, just someone who knows how to write code in a particular programming language), your days are numbered. If you still think AI can't do your job, you are just in denial. But honestly, writing code was never that valuable anyway. If you were a code pusher, you already knew that the best people at your company weren't just writing code. They came up with new ideas, designed solutions, architected whole systems, knew how to troubleshoot and fix problems, found different ways to build better software, and, in general, spent almost no time writing code. Not only are those people thriving today, but they're also the ones who will ride the AI wave and learn to bend it to their will. So don't cling too long to what you lost; embrace what's already here. AI is a tide that lifts all boats, but you have to be open to it.
- Sep 7, 20266.5x 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.
- Aug 19, 20265.4x 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'
- Aug 19, 20265.0x 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.
- Oct 27, 20264.8x their median
Today, weβre introducing the next chapter of Concurrence and the worldβs greatest leap toward Superintelligent Care. When I was 13 I lost my mom to cancer that shouldβve been caught earlier. Weβre building a system that sees every patientβs future in time to change the outcome https://t.co/MOkLgjFqs8
- Oct 27, 20264.7x their median
New in CodeRabbit Secure: Deep Scan now follows a vulnerability across your linked repos, then replays the exploit in a throwaway sandbox to prove it's real before it flags anything. Hendrik walks through this and everything else in the new update: https://t.co/i6ybcOrtGd
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 249 interactions against 457K followers, an engagement rate of 0.054%. Measured over 26 original posts, its engagement rate beats 60% of 21,624 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 39K times each, and 0.638% of those impressions turn into an interaction. That is about 8.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 58% carry an image or video, 23% are part of a thread and 19% link out. The account's strongest tracked post pulled 51K interactions, about 204x its own typical post.
- What is Santiago's engagement rate on X?
- Santiago (@svpino) has an engagement rate of 0.054%, based on the median interactions across 26 original posts from the last 30 days against 457,331 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.054%, Santiago sits above the 25th percentile of the 217,857 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 60% of the tracked X accounts closest to it in follower count (21,624 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 Tuesday is its busiest day, at roughly 2.43 posts per day across the measured window.