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Javier Writes engagement report

@javier_otieno1 - 69K followers on X

Measured over 22 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.097%
of 69K followers
Per impression
4.66%
1.3K views on a typical post
Reach
2.08%
of its followers see a post
Typical post
62
interactions (median)
Saved
0.075%
1 bookmarks on a typical post
Posting rate
1.57/day
active 53% of days
Peak time
05:00 UTC
Monday

A typical post picks up 62 interactions against 69K followers, an engagement rate of 0.097%. Measured over 22 original posts, its engagement rate beats 48% 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 1.3K times each, and 4.66% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 22 posts sampled, 14% carry an image or video and 9% link out. The account's strongest tracked post pulled 1.2K interactions, about 19x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

Javier Writes's engagement rate beats 48% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 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 83% 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 0.097%, Javier Writes sits above the 25th percentile of the 205,152 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 205,152 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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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 video14% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 14% 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.
  • 9% 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 322 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

  • Nov 30, 202519x their median

    To create value, solve your own problems and ensure the solutions affect as many people as humanly possible.

    79913326394.1M viewsView on X
  • Sep 19, 20262.3x their median

    Selling is an art. Selling is alchemy. Selling is a process. Selling is psychology. Selling is a profession. Selling is not a zero sum game. Everything is for sale. Not everything is worth selling.

    83164601.6K viewsView on X
  • May 30, 20261.9x their median

    Welcome to the Firm Where Everyone Just Does 'Some Work' and 'Fails Upwards' The company Jarred signed up for was not like any other he'd worked for. To begin with, the vision board on the hallway read, "Nothing Gets Something Done." Walking across a motley of departmental offices, various modulations of the phrase "some work" were frequently heard: "Hey, I have some work." "Some work was done." "Some work will be done." "This is quite some work."

    7833713.7K viewsView on X
  • Sep 17, 20261.9x their median

    How to Be Unemployed First step: Don’t have any specific work. You have to do whatever you can for the buck. Step two: Do not accept work that doesn’t give you more time out of work (that is, leisure time, or, as cynics say, a period of unemployment). Step three: Save money. Every unemployed person knows that jobs are temporary. That is why they quit whenever the terms seem unfavorable (debatable). So whenever an inconvenience like the threat of homelessness hits them, they find work and ways to save, if the salary is enough. As a rule, people who are experts at being unemployed require a fair wage, as opposed to minimum wage, so they can survive when they are unemployed. Planning for unemployment is like planning for retirement, only you enjoy it in bursts.

    75152601.7K viewsView on X
  • Sep 18, 20261.6x their median

    The marketplace is funny. Same products are priced differently. For instance, a phone's lifespan is roughly two years, however much a buyer paid for it. That tells us people buy things for reasons that go beyond utility, quality, or durability.

    5943501.4K viewsView on X
  • Sep 21, 20261.5x their median

    Writing good copy is akin to having a constructive conversation. It’s not a guarantee that two people will always be on the same page. However, there’s a huge possibility for a continued relationship, and perhaps a purchase, when everyone walks away feeling understood. So how do people in sales ensure prospective buyers understand them, or their products?

    5663311.5K viewsView on X
  • Sep 11, 2026

    It's dangerous when folks on social media don’t form opinions. In many cases, we just react to whatever successfully triggered us. Logic, experience, and expertise only show up after the emotional spike has already chosen the direction. Triggers don’t negotiate. They demand a reaction.

    4892801.1K viewsView on X
  • Sep 15, 2026

    Calm content does one thing well. It makes people feel better for 20 seconds. Then they close the app and nothing changes. The post is finished when the reader knows what to do next. Many coaches skip that part. The NEXT STEP as opposed to the feeling should be the offer.

    5322701.1K viewsView on X
  • Sep 24, 2026

    Applicants who show desperation are at bottom of the LinkedIn foodchain. HR departments prepare 3-month screening processes and 7-step interview procedures for a job that would ideally require 30 minutes max to figure out who's relevant. Some interviews feel like bad dates.

    44102401.0K viewsView on X
  • Sep 13, 2026

    We're in the middle of a huge propaganda war. Wolves want to lobby for the protection of sheep. Some sheep are siding with the wolves. The farmer doesn't seem to understand what's going on. Chickens are skeptical over what's going on but there's little they can do!

    4482411.2K 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 62 interactions against 69K followers, an engagement rate of 0.097%. Measured over 22 original posts, its engagement rate beats 48% 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 1.3K times each, and 4.66% of those impressions turn into an interaction. That is about 1.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 22 posts sampled, 14% carry an image or video and 9% link out. The account's strongest tracked post pulled 1.2K interactions, about 19x its own typical post.

What is Javier Writes's engagement rate on X?
Javier Writes (@javier_otieno1) has an engagement rate of 0.097%, based on the median interactions across 22 original posts from the last 30 days against 68,912 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.097%, Javier Writes sits above the 25th percentile of the 205,152 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 @javier_otieno1 have real engagement?
Its engagement rate beats 48% 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 @javier_otieno1 post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 1.57 posts per day across the measured window.

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