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laty engagement report

@laty72 - 80K followers on X

Measured over 1 original post from a 30-day window, last computed on September 6, 2026.

Engagement

Per follower
0%
of 80K followers
Per impression
0%
525 views on a typical post
Reach
0.65%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
10:00 UTC
Friday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 0 interactions against 80K followers, an engagement rate of 0%. Posts are seen about 525 times each, and 0% of those impressions turn into an interaction. That is about 0.655% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 11K interactions. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on September 6, 2026.

Where this sits in the catalog

At 0%, laty sits below the 10th percentile of the 204,880 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 10:00 UTC, and Friday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 0% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 23 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • Dec 15, 2018

    Local journalism 2018 in review -- in every corner of the U.S. this year, local reporters went to work every day looking to expose wrongdoing in their communities. Here’s just some of what they found:

    6.4K3.2K86930View on X
  • Oct 6, 2018

    UPDATE: See what actually happened last week while we were going off air. #LivePD https://t.co/gEUfSjhzta

    8401058623View on X
  • Sep 26, 2019

    Supernova 1987A. A type II supernova in the Large Magellanic Cloud https://t.co/si4h3inCTL

  • Sep 8, 2018

    Black hole formation: Massive star collapsing into a black hole after fusing all the lighter elements into heavier ones all the way up to iron. Fusing iron is a loosing battle. It requires more energy than the fusion will generate. #HowTheUniverseWorks https://t.co/rsgxWir8Up

  • Sep 13, 2018

    Some of the greatest minds of the 20th century: Niels Bohr, Robert Oppenheimer, a young Richard Feynman and Enrico Fermi https://t.co/LQ9kFuASwb

  • Oct 18, 2018

    A star named S2 suddenly accelerates to an astonishing 18 million kilometers/hr pulled by the incredible gravity of Sagittarius A*, the supermassive black hole at the center of the milky way. Sagittarius A* has 4.1 million times the mass of the sun. https://t.co/XGDQgO0AfO

  • Aug 27, 2018

    The Sun’s three-dimensional magnetic field during one full solar rotation. The Predictive Science researchers modeled magnetic field lines in order to calculate the presence of complex structures in the corona. #NASA https://t.co/F462k9D3BM

  • Aug 26, 2018

    Mind bugging speed at Belgian grand prix #Formula1 #F1 https://t.co/PbW7EPap1H

  • Apr 4, 2020

    Bellow Planck length issue < 1.6 x 10-35 m you’re looking at a total energy density high enough for a very real danger of a spontaneous microscopic black hole forming. #plancklengh #blackhole

  • Apr 4, 2020

    You can calculate how much energy a photon needs to gain to have a Planck length wavelength. Problem: how do you put all that energy into one photon and not have it spontaneously emit 5 or 10 smaller photons or collapsing into a black hole #blackhole #plancklengh

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 0 interactions against 80K followers, an engagement rate of 0%. Posts are seen about 525 times each, and 0% of those impressions turn into an interaction. That is about 0.655% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 10:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 11K interactions. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is laty's engagement rate on X?
laty (@laty72) has an engagement rate of 0%, based on the median interactions across 1 original posts from the last 30 days against 80,098 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, laty sits below the 10th percentile of the 204,880 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 @laty72 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @laty72 post?
Most posts go out around 10:00 UTC, and Friday is its busiest day, at roughly 0.07 posts per day across the measured window.

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