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Max Mullen engagement report

@Max - 290K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Per follower
0.614%
of 290K followers
Per impression
0.398%
422K views on a typical post
Reach
154.1%
of its followers see a post
Typical post
1.7K
interactions (median)
Saved
0.199%
838 bookmarks on a typical post
Posting rate
0.27/day
active 13% of days
Peak time
16:00 UTC
Wednesday

Early reading. We have captured 2 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 1.7K interactions against 290K followers, an engagement rate of 0.614%. Posts are seen about 422K times each, and 0.398% of those impressions turn into an interaction. That is about 145.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 4.2K interactions, about 2.5x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on September 24, 2026.

Where this sits in the catalog

At 0.614%, Max Mullen sits above the 50th percentile of the 205,152 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 16:00 UTC, and Wednesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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.
  • 0% 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 122 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

  • May 7, 20262.5x their median

    Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for agents. Most official CLIs suck for agents. They waste tokens and time. @steipete started making his own because of this. 📚 A Library of agent-native CLIs you install today (Linear, ESPN, Flight GOAT (Google Flights + Kayak nonstop), Contact Goat (LinkedIn + Happenstance + Deepline more) +30+ more) 🏭 A factory that prints new ones for any service - just type /printing-press <product name> CLIs are fast, local, SQLite-backed. Work in Claude Code, Codex, OpenClaw, Hermes. 🌐 https://t.co/GjnN9E9yTH

    3.6K2812321511.4M viewsView on X
  • Sep 16, 20262.0x their median

    1/ Today, we're launching @Mercury Books. AI-powered accounting software, for your bookkeeper or you, that categorizes and reconciles your transactions the moment they happen. https://t.co/OM66asto48

    2.7K145331167821K viewsView on X
  • Nov 4, 20241.8x their median

    Introducing Predicted Outputs—dramatically decrease latency for gpt-4o and gpt-4o-mini by providing a reference string. https://t.co/n6mqjQwQV1 Speed up: - Updating a blog post in a doc - Iterating on prior responses - Rewriting code in an existing file, like @exponent_run here: https://t.co/c9O3YtHH7N

    2.5K33288186582K viewsView on X
  • Sep 25, 2024

    It only took 12 years to earn this @ycombinator shirt! https://t.co/jl1ybKSmCL

    1.9K426711188K viewsView on X
  • Dec 8, 2025

    Stripe is partnering with @Instacart to enable direct checkout in ChatGPT. This new AI commerce experience is powered by the Agentic Commerce Protocol (ACP) that we launched with @OpenAI a few months ago. Behind the scenes, it uses @Stripe Shared Payment Tokens to securely handle payment credentials. Live today on web! (Mobile soon.)

    1.4K12310154303K viewsView on X
  • Nov 23, 2025

    2025.44 brings in a curiously named geofence region: Bay Unsupervised CA DMV Seem to encompass entire bay area. https://t.co/sQHKm0OZLk

    1.3K1206786486K viewsView on X
  • Sep 16, 2025

    My goal when I became a full time investor was to be the type of partner I would have most wanted during my time building a company: someone who had done the work I was doing before, who had the network to help me reach my goals faster, and who had my back no matter what. I’m really happy to share that we’ve raised Alt Cap II, a $275M early stage fund. We backed ~20 companies at Seed and Series A in Alt Cap I. The new fund will be the same structure with a bit larger checks. But mostly we just want to be in business with people who inspire us. There’s no way to say it without sounding cheesy but it’s true; I feel unbelievably lucky to do this job in the way I get to do it. A special thanks to the founders that let us back them in Alt Cap I, you all are what it’s all about for me!

    1.2K5119926257K viewsView on X
  • Jul 7, 2026

    Introducing Willow Frontier Mini and Willow Frontier Pro. Frontier Mini gives everyone free, unlimited dictation. Frontier Pro is our most accurate model yet, built for power users and teams who want the fastest and best dictation experience. https://t.co/p5ImXqoNIf

    9426217779487K viewsView on X
  • Sep 22, 2023

    How it started 🥕 How it's going 🛒 https://t.co/aOveF7B5C9

    1.1K512013152K viewsView on X
  • Oct 8, 2025

    We’ve raised a $20M Series A from @IndexVentures, @BainCapVC, and @eladgil, with participation from @sequoia, @CooleyLLP, and @patrickc It took us 173 days to review our first 1,000 contracts. Now, we do this every three weeks. Even as we’ve scaled, we’ve kept our signature speed. We send back over 90% of redlines in just a few hours. Each month, 30% more GTM teams choose to partner with Crosby to close deals faster, and we’re grateful to support several of the fastest-growing companies in history like @cursor_ai, @Polymarket, and @baseten Our mission is to fully automate human-to-human negotiation. If you’re excited about building the platform to simulate and solve every complex agreement, we’d love to hear from you.

    6757410741264K 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 1.7K interactions against 290K followers, an engagement rate of 0.614%. Posts are seen about 422K times each, and 0.398% of those impressions turn into an interaction. That is about 145.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video. The account's strongest tracked post pulled 4.2K interactions, about 2.5x its own typical post. Only 2 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 Max Mullen's engagement rate on X?
Max Mullen (@Max) has an engagement rate of 0.614%, based on the median interactions across 2 original posts from the last 30 days against 289,606 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.614%, Max Mullen sits above the 50th percentile of the 205,152 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 @Max have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Max post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 0.27 posts per day across the measured window.

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