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PublicAI engagement report

@PublicAI_ - 197K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Middle of its size range
Per follower
0.013%
of 197K followers
Per impression
0.441%
6.1K views on a typical post
Reach
2.92%
of its followers see a post
Typical post
27
interactions (median)
Saved
0.033%
2 bookmarks on a typical post
Posting rate
1.63/day
active 77% of days
Peak time
18:00 UTC
Monday

A typical post picks up 27 interactions against 197K followers, an engagement rate of 0.013%. Measured over 19 original posts, its engagement rate beats 27% 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 6.1K times each, and 0.441% of those impressions turn into an interaction. That is about 3.11% 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 77% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 37% carry an image or video, 63% are part of a thread and 16% link out. The account's strongest tracked post pulled 392 interactions, about 15x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on October 5, 2026.

Compared with accounts its own size

PublicAI's engagement rate beats 27% of the tracked X accounts closest to it in follower count (20,444 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 24% 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 0.013%, PublicAI sits above the 10th percentile of the 204,583 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%
p750.677%
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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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 video37% of posts+111%+108% to +115%34K
Outbound link16% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 37% 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.
  • 16% 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 330 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

  • Jul 9, 202615x their median

    Instagram users can now have their public photos used, without consent, in generation of AI content on Meta’s ‘Muse Image’ platform Instagram users must opt-out to prevent this, rather than opt-in to allow their picture to be used https://t.co/yxoU4O6rYx

    31539241427K viewsView on X
  • Jun 18, 20268.1x their median

    Can We Trust Anything Online Anymore? https://t.co/VdwQIKbf7Z

    89143496.3K viewsView on X
  • Sep 14, 20264.4x their median

    The long messy run is the one worth keeping. The clean 12-turn session is usually noise. 1358 turns with multiple reshapes of the same code leaves a trail that thin clean runs never do. That is the data that actually teaches something. Keep the logs.

    907192349K viewsView on X
  • Jun 23, 20264.9x their median

    Private AI Gateway is the missing layer between one-off TEE inference and real private AI products. A quote proves a workload at one moment. Apps need the key, route, fallback, and response to stay inside a verified path. https://t.co/rU2Tz8RtDN

    7213127.9K viewsView on X
  • Sep 21, 20263.0x their median

    so i earned money from a claude code session today lol @PublicAI_ made this open source CLI called trajector. it runs as a local proxy between your claude code and the API, records your sessions, redacts your secrets on your machine, and uploads the clean data. you get credited per session based on your tokens. after setup i just coded normally. ran one prompt on opus 5, built a markdown preview tool in 4 minutes, and when i checked the dashboard $0.02 was sitting there. i literally changed nothing about how i work. it just runs in the background on projects you opt into. $0.02 is tiny but i use claude code every single day so i'm curious to see where this goes if you use claude code check it out here https://t.co/29yJNA0upW

    40152527.2K viewsView on X
  • Sep 30, 20262.7x their median

    4th $PUBLIC buyback is done We bought back 3 million $PUBLIC. Not a promise. The purchase already happened. More details 👇👇 https://t.co/6gJI7FyCIH

    55311410K viewsView on X
  • Sep 30, 20262.1x their median

    WTF is happening with @PublicAI_ Two days ago I bought some $PUBLIC out of nowhere because I saw $NEAR pumping hard and I remember that $PUBLIC is somehow connected in Near Eco And today that silly decision gave me a 5x return. Already took my initial and will ride the rest to Valhalla. Can it still go 10x from here chat?

    45010115K viewsView on X
  • Oct 3, 20262.0x their median

    We’re back 🔥 and this one’s a bigger stake. Staking Hero S5 is live. $2,000. 50 winners. Stake 5,000+ $PUBLIC. Every 5,000 $PUBLIC = 1 ticket a day. More staked, more tickets. Stake once. Accumulate daily. Win big. 🗓️ Oct 3 – Oct 17, 2026 (UTC) https://t.co/rmTdhheUEi https://t.co/FicYXBtSYX

    436417.5K viewsView on X
  • Aug 5, 20262.0x their median

    Build. Trace. Earn. Coming Soon... https://t.co/qjkBwrpZix

    3841115.9K viewsView on X
  • Sep 4, 20262.0x their median

    Claude Code people keep shipping. Most of that work disappears. If the session is real, on a repo you own, and the model is Fable 5 (5.1 coming soon) or Opus 5, Trajector pays for it. Everything else is off unless you turn that project on. Apply👇

    46520384K 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 27 interactions against 197K followers, an engagement rate of 0.013%. Measured over 19 original posts, its engagement rate beats 27% 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 6.1K times each, and 0.441% of those impressions turn into an interaction. That is about 3.11% 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 77% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 37% carry an image or video, 63% are part of a thread and 16% link out. The account's strongest tracked post pulled 392 interactions, about 15x its own typical post.

What is PublicAI's engagement rate on X?
PublicAI (@PublicAI_) has an engagement rate of 0.013%, based on the median interactions across 19 original posts from the last 30 days against 196,857 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, PublicAI sits above the 10th 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 @PublicAI_ have real engagement?
Its engagement rate beats 27% 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 @PublicAI_ post?
Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 1.63 posts per day across the measured window.

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