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Freddy Vega engagement report

@freddier - 317K followers on X

Measured over 26 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Middle of its size range
Per follower
0.116%
of 317K followers
Per impression
1.80%
20K views on a typical post
Reach
6.41%
of its followers see a post
Typical post
366
interactions (median)
Saved
0.244%
50 bookmarks on a typical post
Posting rate
1.93/day
active 73% of days
Peak time
21:00 UTC
Monday

A typical post picks up 366 interactions against 317K followers, an engagement rate of 0.116%. Measured over 26 original posts, its engagement rate beats 62% of 21,185 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 20K times each, and 1.80% of those impressions turn into an interaction. That is about 6.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 26 posts sampled, 50% carry an image or video, 12% are part of a thread and 8% link out. The account's strongest tracked post pulled 3.9K interactions, about 11x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on October 14, 2026.

Compared with accounts its own size

Freddy Vega's engagement rate beats 62% of the tracked X accounts closest to it in follower count (21,185 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 59% 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 0.116%, Freddy Vega sits above the 25th percentile of the 212,656 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 21:00 UTC, and Monday 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video50% of posts+111%+108% to +115%34K
Outbound link8% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 50% 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 282 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

  • Sep 5, 202611x their median

    GTA VI will become a museum to the last grand 100% human-made digital world. A monument to the level of care and detail created only by people.

    3.7K14632882K viewsView on X
  • Sep 25, 20268.4x their median

    We need to pace the frontier. I’ve had this fucking song stuck in my head all day. https://t.co/fVi7BviXgt

    2.7K17010932275K viewsView on X
  • Oct 5, 20267.8x their median

    I think Digger's low review score is a reflection of the academic collapse of humanity in general. The movie is a risky achievement in telling the truth about how we use art to justify our lack of action. But... it takes a while to pay off. You wouldn't get it if you disconnected from the movie early on. It demands attention to detail, focus. Iñárritu and Tom Cruise respected the audience's intelligence and paid the price.

    2.5K229711670K viewsView on X
  • Sep 29, 20263.7x their median

    Mr Robot is a very important TV show. A visual museum of what hackers were like before LLMs.

    1.2K9523548K viewsView on X
  • Oct 12, 20262.2x their median

    I'm not sure what to teach you guys. Every day I learn incredible things that become irrelevant fast: self-improving company loops in Claude Code, messaging between Codex and Claude, quirky SVG animations, new ways to research. But... every AI experience feels isolated to me, as if it's only useful for me and no one else. On top of that, my token access is wildly different from most people's. Frontier AI is, for now, a privilege. I'm too much in my own head. I'd love to know what you haven't mastered and truly want to. It would help me, and all of us at Platzi, teach you better 💚

    67515101434K viewsView on X
  • Oct 2, 20262.0x their median

    I run an LLM offline on my laptop. A heavily quantized Qwen3.6, using LMStudio. MBP M4 Max 36GB RAM. It does 8-12 tokens per second. The context window is quite small (like 4000 tokens), but it's good enough for quick science/tech questions or helping me do a high-level grammar and narrative check while writing. I use it on flights with no wifi. It eats a LOT of battery life and gives me an eerie scifi feeling. I can tap all human knowledge, with no internet connection, in my "above average" laptop, compressed into 20GB. It's as easy as installing LMStudio and downloading the weights from HuggingFace.

    6463847338K viewsView on X
  • Aug 24, 20262.0x their median

    Last weekend, I burned $1k in a failed experiment with Fable 5/Opus 5. So I switched to Codex out of anger. I've been working only with Codex and GPT 5.6 Sol this week. I'm loving the lack of weird English, the great /goal command, its nicer UI and "Fast mode". I may downgrade my Claude subscription.

    6421467343K viewsView on X
  • Sep 23, 20261.9x their median

    Opus 5.5 is a really scary model * fast * writes very well * less usage consumption vs Fable 5.1 * creative The next weeks, we're going to see really impressive demos and a lot of startups that will need to pivot. I gotta get to work.

    6612516121K viewsView on X
  • Sep 22, 20261.9x their median

    No one is paying the true price of AI. OpenAI and Anthropic subsidize the cost per token in the subscription. Sometimes at 40x to 70x rates. Yeah, seventy times real price. Uber did the same when they started. Anthropic will IPO this year. OpenAI next year. After that, probably, we’ll start to see the actual price per token. Or… the math would improve and it’ll get cheaper 🤷

    6173149335K viewsView on X
  • Sep 26, 2026

    What's the best city in Latin America to work remotely? https://t.co/utbydCwwbu

    40443331133K 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 366 interactions against 317K followers, an engagement rate of 0.116%. Measured over 26 original posts, its engagement rate beats 62% of 21,185 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 20K times each, and 1.80% of those impressions turn into an interaction. That is about 6.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 26 posts sampled, 50% carry an image or video, 12% are part of a thread and 8% link out. The account's strongest tracked post pulled 3.9K interactions, about 11x its own typical post.

What is Freddy Vega's engagement rate on X?
Freddy Vega (@freddier) has an engagement rate of 0.116%, based on the median interactions across 26 original posts from the last 30 days against 317,294 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.116%, Freddy Vega sits above the 25th percentile of the 212,656 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 @freddier have real engagement?
Its engagement rate beats 62% of the tracked X accounts closest to it in follower count (21,185 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 @freddier post?
Most posts go out around 21:00 UTC, and Monday is its busiest day, at roughly 1.93 posts per day across the measured window.

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