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Frank engagement report

@frankdegods - 506K followers on X

Measured over 12 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Top quarter for its size
Per follower
0.272%
of 506K followers
Per impression
0.995%
137K views on a typical post
Reach
27.4%
of its followers see a post
Typical post
1.4K
interactions (median)
Saved
0.021%
29 bookmarks on a typical post
Posting rate
2.33/day
active 40% of days
Peak time
02:00 UTC
Sunday

A typical post picks up 1.4K interactions against 506K followers, an engagement rate of 0.272%. Measured over 12 original posts, its engagement rate beats 83% of 3,899 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 137K times each, and 0.995% of those impressions turn into an interaction. That is about 27.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 8% link out. The account's strongest tracked post pulled 2.9K interactions, about 2.1x its own typical post. Recurring topics include #niulai, #牛来.

Measured over 12 original posts from a 30-day window, last computed on August 28, 2026. Recurring tags: #niulai, #牛来.

Compared with accounts its own size

Frank's engagement rate beats 83% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 7 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 50% 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 0.272%, Frank sits above the 50th percentile of the 37,701 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.439%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 02:00 UTC, and Sunday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 02:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 20262.1x 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, 20262.0x their median

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

    2.5K16010622139K viewsView on X
  • Aug 22, 20261.9x 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.)

    2.3K1952746569K viewsView on X
  • Aug 18, 2026

    Polymarket presents the first-ever Niu Lai watch party in Niu York 🗽 📅 Thursday, Aug 20 · 8PM 📍 Location TBD 👉Pull up: https://t.co/5ZdBfSeCXg #牛来 #NiuLai https://t.co/QbYztbhSAA

    1.6K105176120892K viewsView on X
  • Aug 21, 2026

    Why should we even care about Ox Alpha? Because of the implications: • If it's GLM-5.3 Flash, that means Z AI is going to be a significant player going forward. • If it's a Composer model, that means the Cursor strategy of post-training existing models is back, instead of the fresh base they were talking about. • If it's an American model, that means we can no longer trust Chinese propaganda probing to figure out what stealth models are, because pretending to be a Chinese model is too easy now. • If it's a MiMo model, then Xiaomi, which was previously pretty irrelevant, is back to competing with the big boys. • If it's Google, they're back in a big way. • If it's Moonshot, that means they have way more compute than we thought.

    1.5K4010015172K viewsView on X
  • Aug 25, 2026

    whether you love me or hate me thanks for the attention 🫡 https://t.co/O7L8k93cqC

    1.3K20332785K viewsView on X
  • Dec 13, 2024

    Exchanges are going to start listing coins at way, way lower marketcaps, because they have to. The volume is going to be explosive. Retail wants the 1000x too. Coinbase has to hit earnings. Watch.

    1.3K8619420248K viewsView on X
  • Aug 23, 2026

    Selling your own bag is fine. Posting a public thesis ‘sellers running out of coins’ minutes before dumping $150K from the same wallet is really weird https://t.co/HU98fxVnXc

    8343814917252K viewsView on X
  • Aug 23, 2026

    there’s actually no way

    6781722612135K viewsView on X
  • Aug 17, 2026

    the sun sets in the west to rise in the east

    396211241294K 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.

Recurring topics

#niulai#牛来

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 1.4K interactions against 506K followers, an engagement rate of 0.272%. Measured over 12 original posts, its engagement rate beats 83% of 3,899 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 137K times each, and 0.995% of those impressions turn into an interaction. That is about 27.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 8% link out. The account's strongest tracked post pulled 2.9K interactions, about 2.1x its own typical post. Recurring topics include #niulai, #牛来.

What is Frank's engagement rate on X?
Frank (@frankdegods) has an engagement rate of 0.272%, based on the median interactions across 12 original posts from the last 30 days against 505,546 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.272%, Frank sits above the 50th percentile of the 37,701 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 83% of the tracked X accounts closest to it in follower count (3,899 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 02:00 UTC, and Sunday is its busiest day, at roughly 2.33 posts per day across the measured window.

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