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Frank engagement report

@frankdegods - 538K followers on X

Measured over 29 original posts from a 30-day window, last computed on October 20, 2026.

Engagement

Top quarter for its size
Per follower
0.148%
of 538K followers
Per impression
1.35%
59K views on a typical post
Reach
11.0%
of its followers see a post
Typical post
796
interactions (median)
Saved
0.027%
16 bookmarks on a typical post
Posting rate
2/day
active 40% of days
Peak time
01:00 UTC
Friday

A typical post picks up 796 interactions against 538K followers, an engagement rate of 0.148%. Measured over 29 original posts, its engagement rate beats 77% of 20,444 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 59K times each, and 1.35% of those impressions turn into an interaction. That is about 10.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 29 posts sampled, 24% carry an image or video, 7% are part of a thread and 10% link out. The account's strongest tracked post pulled 3.8K interactions, about 4.8x its own typical post.

Measured over 29 original posts from a 30-day window, last computed on October 20, 2026.

Compared with accounts its own size

Frank's engagement rate beats 77% of the tracked X accounts closest to it in follower count (20,444 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 56% 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 0.148%, Frank sits above the 50th percentile of the 204,583 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 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 percentile0.677%
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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 video24% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 24% 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.
  • 10% 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 116 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Sep 11, 20264.8x their median

    lesson for next cycle if everyone congratulates you for selling, its definitely not the top. its only the top when people call you a fucking retard for selling.

    3.2K12738838186K viewsView on X
  • Aug 21, 20263.6x their median

    Ox Alpha is frontier. wtf. Seriously wtf. Tencent? Xiaomi? Really? It's more well-done than any other Chinese model. I swear, it's better than Kimi K3. It's good *in ways that Chinese models are typically horrible at*. It's FAST I can half-believe it's a stolen Claude checkpoint.

    2.7K6512424276K viewsView on X
  • Aug 23, 20263.5x their median

    this old plumber actually had some good advice https://t.co/hi3AIdl8ql

    2.5K16010622139K viewsView on X
  • Oct 2, 20263.3x their median

    we'll see the rise in idolization of characters that win lotteries. there will be thousands of Kimchis all being clipped to promote a new way to gamble. click some buttons and win forever. but there is no winning forever. there's always more and the more you make, the more you can now lose. think of how many people in this space are defined by how much they once had. count no man happy until he's dead. as the season of spawning life changing wealth on our computers continues, i suggest you think seriously about what you'll do if you make a lot. what will you actually do with your days? if you can't answer that, it's easy to find another trade while you figure it out. then another. eventually either the number changes or you go bust. if you want to trade forever, stop trading like you need to make it all tonight. if your goal is to hit a number and fuck off, you'll probably never leave.

    2.1K17728970176K viewsView on X
  • Aug 22, 20263.3x their median

    Regardless of how you feel about Niu Lai, we can all agree on one thing: something extraordinary has happened in Chinese cinemas this month. A mother-and-son duo’s animated 3D film earned just 342 yuan ($50) on opening day. Then its crude visuals turned it into a viral success, propelling it into the top 10 of the year’s domestic animated releases. This is a video thread. (This is the first video: an 8-minute clip with scenes from the film so you get the main gist.)

    2.3K1952646577K viewsView on X
  • Sep 4, 20263.3x their median

    no sleep season

    2.1K1393293398K viewsView on X
  • Sep 4, 20263.2x their median

    🍿

    2.0K8843527268K viewsView on X
  • Sep 10, 20263.2x their median

    send it without me ❤️ https://t.co/iz2MLFJGtH

    2.0K3640640241K viewsView on X
  • Oct 16, 20263.0x their median

    holy fucking elon musk

    2.2K37802120K viewsView on X
  • Sep 15, 20262.7x their median

    be careful on arc chain rn, seeing lots of experienced traders get drained on random sites just going to wait till official stuff is out, maybe it costs some extra X’s but not worth it absolute mess

    1.8K7721019168K 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 796 interactions against 538K followers, an engagement rate of 0.148%. Measured over 29 original posts, its engagement rate beats 77% of 20,444 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 59K times each, and 1.35% of those impressions turn into an interaction. That is about 10.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 29 posts sampled, 24% carry an image or video, 7% are part of a thread and 10% link out. The account's strongest tracked post pulled 3.8K interactions, about 4.8x its own typical post.

What is Frank's engagement rate on X?
Frank (@frankdegods) has an engagement rate of 0.148%, based on the median interactions across 29 original posts from the last 30 days against 538,345 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.148%, Frank sits above the 50th percentile of the 204,583 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 @frankdegods have real engagement?
Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (20,444 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 @frankdegods post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 2 posts per day across the measured window.

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