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Zach Vorhies / AI Google Whistleblower engagement report

@Perpetualmaniac - 166K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 23, 2026.

Engagement

Per follower
0.111%
of 166K followers
Per impression
1.66%
11K views on a typical post
Reach
6.70%
of its followers see a post
Typical post
184
interactions (median)
Saved
0.395%
44 bookmarks on a typical post
Posting rate
1.9/day
active 53% of days
Peak time
00:00 UTC
Thursday

Early reading. We have captured 6 original posts 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 184 interactions against 166K followers, an engagement rate of 0.111%. Posts are seen about 11K times each, and 1.66% of those impressions turn into an interaction. That is about 6.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 00:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video, 17% are part of a thread and 17% link out. The account's strongest tracked post pulled 6.0K interactions, about 32x its own typical post. Only 6 original posts 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 6 original posts from a 30-day window, last computed on October 23, 2026.

Where this sits in the catalog

At 0.111%, Zach Vorhies / AI Google Whistleblower sits above the 25th percentile of the 201,005 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.141%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,005 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,901 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 00:00 UTC, and Thursday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video67% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 67% 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.
  • 17% 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 248 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Oct 22, 202632x their median

    I'm tired boss https://t.co/ix4S1OPmc2

    5.2K48693190687K viewsView on X
  • Jun 6, 202422x their median

    My testimony to the Texas Senate resulted in a UNANIMOUS decision by Democrats and Republicans to empower the Texas State Attorney to start issuing subpoenas against Google and other Big Tech companies. Watch: https://t.co/wppxeoghZX

    2.8K959130136490K viewsView on X
  • Sep 19, 20265.1x their median

    🇺🇸 TRUMP SAYS HE IS FORMING AN “AI FORCE” AND WILL NAME AN AI CZAR The U.S. should not “hinder or stifle” the growth of artificial intelligence and argues existing criminal and civil law can handle bad actors without choking the industry. His new proposal is an “AI Force,” which he compares to Space Force, plus a forthcoming AI czar. He also says AI could eventually account for as much as 25% of U.S. GDP. That is a very different regulatory philosophy from treating frontier AI primarily as a risk to contain. Washington’s AI fight is becoming all about whether government acts as referee or accelerator. Source: @realDonaldTrump / Writer: Oliver

    7021161091981K viewsView on X
  • May 21, 20254.3x their median

    OBS Studio Refuses to Support Rumble, Who They Call "Hateful and Racist" "We want nothing to do with [Rumble]," says OBS Studio, which provides support for pornography and exploitation sites. Plus: The very strange finances of OBS. https://t.co/yVUvNDeE4q

    644695420120K viewsView on X
  • Oct 15, 20262.9x their median

    They really need to fix the C language. The problem with C++ is that it has all the baggage and the problem with rust is that it needs a full re-write. I feel that if there was just C but with destructors then that would solve 90% of the memory problems with the language.

    319131911466K viewsView on X
  • Oct 9, 2026

    16 bug fixes and features from obs users that the @obsproject didn't act on. About to go in for obs-rust! https://t.co/1GJpMPTVGx

    1807738.4K viewsView on X
  • Sep 19, 2026

    LCOS has now moved up to the number 13 spot on the DistroWatch chart for the last week. I’ve got Bazzite and Pop!_OS in my crosshairs. After that… I’ll be taking Ubuntu down a notch. 😎 https://t.co/0um2g78eic https://t.co/aB2qFklTjj

    163920312K viewsView on X
  • Oct 14, 2026

    1/ OBS-Studio-Rust is out: v0.1.0-beta.20261014 🦀 Linux (AppImage + .deb), macOS (Apple Silicon + Intel), Windows (x64 + ARM64). https://t.co/Ir4xicqhZI In five days we merged 300+ PRs and fixed 117 bugs that upstream OBS still has open, 103 of them still open today. 🧵👇

    139161259.6K viewsView on X
  • Oct 13, 2026

    How to go from an AI dumbass to an AI rock star - according to my co-host Todd Pitner. Zach Vorhies has launched an AI installer consulting service to help you get up and running, even if you know nothing about AI. This is the guy to get you rocking with local AI! https://t.co/TMFF0NT1qy

    67157211K viewsView on X
  • Sep 9, 2026

    Called it… Omarchy is switching to NixOS! Great decision by @dhh This really will be the year of Linux! https://t.co/77opIV0mS5

    5388112K 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 184 interactions against 166K followers, an engagement rate of 0.111%. Posts are seen about 11K times each, and 1.66% of those impressions turn into an interaction. That is about 6.70% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 00:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video, 17% are part of a thread and 17% link out. The account's strongest tracked post pulled 6.0K interactions, about 32x its own typical post. Only 6 original posts 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 Zach Vorhies / AI Google Whistleblower's engagement rate on X?
Zach Vorhies / AI Google Whistleblower (@Perpetualmaniac) has an engagement rate of 0.111%, based on the median interactions across 6 original posts from the last 30 days against 166,360 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.111%, Zach Vorhies / AI Google Whistleblower sits above the 25th percentile of the 201,005 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 @Perpetualmaniac have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Perpetualmaniac post?
Most posts go out around 00:00 UTC, and Thursday is its busiest day, at roughly 1.9 posts per day across the measured window.

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