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Chris Pirillo engagement report

@ChrisPirillo - 99K followers on X

Measured over 37 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Bottom quarter for its size
Per follower
0.006%
of 99K followers
Per impression
0.369%
1.6K views on a typical post
Reach
1.64%
of its followers see a post
Typical post
6
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.6/day
active 50% of days
Peak time
01:00 UTC
Friday

A typical post picks up 6 interactions against 99K followers, an engagement rate of 0.006%. Measured over 37 original posts, its engagement rate beats 14% of 3,829 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.6K times each, and 0.369% of those impressions turn into an interaction. That is about 1.64% 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 50% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 37 posts sampled, 30% carry an image or video and 59% link out. The account's strongest tracked post pulled 5.6K interactions, about 933x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on August 20, 2026. Recurring tag: #material.

Compared with accounts its own size

Chris Pirillo's engagement rate beats 14% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 6 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 20% 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 0.006%, Chris Pirillo sits above the 10th percentile of the 37,071 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 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 percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 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 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 14, 2026933x their median

    SITUATION DETECTED: The U.S. is preparing to tell dozens of countries they must choose a side in the AI competition with China. Those that join Beijing’s AI framework will be excluded from the U.S. led Pax Silica initiative, according to an internal draft letter seen by Reuters.

    4.5K3853024151.0M viewsView on X
  • Aug 11, 2026643x their median

    Celebrating small wins is hardwired into "Achieve," our goal-tracking sample app. We wanted the simple act of checking off a task to feel like a celebration. Instead of the standard #Material ripple, we used Styles to drop in a custom, high-contrast completion animation—specifically, a brand-colored ring that expands and fades on tap, paired with a subtle pressed-state gradient. It lets us focus entirely on polishing those custom, rewarding micro-interactions while Material handles the foundation. #GoogleDesign #MaterialDesign #JetpackCompose #AndroidDev #UXDesign #InteractionDesign

    1.5K709961.3K4.3M viewsView on X
  • Apr 2, 2015282x their median

    Does anybody actually see (or read) pinned tweets?

    1.3K9030410View on X
  • Aug 4, 202628x their median

    This guy lost the lid to his coffee grinder. Instead of ordering a replacement he asked Codex to make one. One prompt. "Make me a CAD design to replace the hopper lid for my 2012 Baratza Encore. Do all the research yourself. This must be perfect in one shot." 20 minutes later Codex came back with a complete CAD package. Print-ready STL. Editable STEP. Dimensioned drawing. It researched the original parts catalog, found conflicting measurements online and resolved them, extracted dimensions from an existing 3D model, designed a tolerance-friendly fit, optimized it for printing, and validated everything automatically. He printed it. Perfect fit. First try. A physical object that fits perfectly came out the other side. AI is not replacing engineers. It's giving everyone access to engineering.

    1381510219K viewsView on X
  • Aug 17, 20265.5x their median

    What do you know about the algorithm? Well, maybe @georgiagemo can help you learn... along with Jimothy! Yes, whether you consider yourself "technical" or "I have no idea what I'm doing with computers," I bet we'll be able to show you how to create your own application quickly at the next ctrl+alt+create live event coming up on August 29th! Presented by @EveryBanking. Pre-register now, get free pizza in Seattle: https://t.co/oJy2o92NAo (or sign up on Luma: https://t.co/kBsqhuHchA).

    216511.6K viewsView on X
  • Aug 18, 20265.0x their median

    My 3D printing "hack" is... to use LEGO brick separators to remove filament from your plates. Works like a charm (and better than damn near anything else I've tried - without damage to anything). https://t.co/X8mFopcNjP

    231512.1K viewsView on X
  • Aug 14, 20262.2x their median

    If you live in the Seattle area but specifically in Redmond, Bellevue, Issaquah, Renton, the general East Side... and you're interested in AI and vibe coding... want to get together for a meet up (yes, on the east side)? I've got the perfect time and place for us. For show & tell, networking, sharing tips / learning. Yes? Let me know.

    91303.1K viewsView on X
  • Aug 17, 20262.0x their median

    wtf https://t.co/jgAAHykVhj

    70502.2K viewsView on X
  • Aug 16, 20261.8x their median

    At some point in the recent past, Claude started talking / writing / coding in British English. I kept correcting it, over and over. Today, it caught something in a skill scan by happenstance and I wondered... did British English somehow seep into a skill? Yeah, and it spread like wildfire. Not quite a virus, but... man, that was making me exhibit angry behaviou... behavior. I was right to push back.

    71303.1K viewsView on X
  • Aug 6, 20261.7x their median

    Excited to share that my liveblogging app, OnCue, has been approved by @WordPress and is now available in the plugin directory! 1⃣ https://t.co/IqNNWDzxbj 2⃣ https://t.co/MbD0FiJOTL https://t.co/vbBdmL90DE

    44201.3K 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

#material

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 6 interactions against 99K followers, an engagement rate of 0.006%. Measured over 37 original posts, its engagement rate beats 14% of 3,829 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.6K times each, and 0.369% of those impressions turn into an interaction. That is about 1.64% 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 50% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 37 posts sampled, 30% carry an image or video and 59% link out. The account's strongest tracked post pulled 5.6K interactions, about 933x its own typical post.

What is Chris Pirillo's engagement rate on X?
Chris Pirillo (@ChrisPirillo) has an engagement rate of 0.006%, based on the median interactions across 37 original posts from the last 30 days against 99,420 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Chris Pirillo sits above the 10th percentile of the 37,071 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 @ChrisPirillo have real engagement?
Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (3,829 accounts), which puts it in the bottom 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 @ChrisPirillo post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 1.6 posts per day across the measured window.

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