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Alex Menn engagement report

@_AlexMenn - 285K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Per follower
0.18%
of 285K followers
Per impression
0.54%
95K views on a typical post
Reach
33.3%
of its followers see a post
Typical post
512
interactions (median)
Saved
0.348%
330 bookmarks on a typical post
Posting rate
0.93/day
active 63% of days
Peak time
17:00 UTC
Tuesday

Early reading. We have captured 4 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 512 interactions against 285K followers, an engagement rate of 0.18%. Posts are seen about 95K times each, and 0.54% of those impressions turn into an interaction. That is about 33.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 50% link out. The account's strongest tracked post pulled 35K interactions, about 69x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on October 22, 2026.

Where this sits in the catalog

At 0.18%, Alex Menn sits above the 50th percentile of the 218,393 accounts in this comparison. That places it in the above the median band, which runs 0.149% to 0.705%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,698 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 17:00 UTC, and Tuesday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video25% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 25% 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.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 116 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

  • Apr 25, 202669x their median

    WE ARE CHAMPIONSSSSSSSSSS #YCFC 🔴🔵

    32K2.2K6193441.7M viewsView on X
  • May 5, 202656x their median

    Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

    22K2.7K1.5K2.0K13M viewsView on X
  • Aug 18, 202537x their median

    We recently rolled out Storybook, a way to create personalized, illustrated stories that you can read, listen to, print, and share. Relive memories. Explain complex concepts. Highlight inside jokes. Get started with these how-tos & tips 🧵

    6.7K54121510118M viewsView on X
  • Apr 25, 202611x their median

    Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.

    4.8K41323726113M viewsView on X
  • Oct 16, 20262.4x their median

    Here's my list of people to watch 25 and under. Who else should I add? https://t.co/j0sm87USr8 https://t.co/Kbum4WcyUe

    1.1K1314230260K viewsView on X
  • Apr 24, 20253.0x their median

    https://t.co/KsLZwFej8U

    565382218K viewsView on X
  • Oct 20, 2026

    Hot take: If a VC directs you to their EA, calendly, agent, etc… they’re not going to invest.

    4741055880K viewsView on X
  • Oct 10, 2026

    https://t.co/XNC72sK9rt

    367344926109K viewsView on X
  • Sep 15, 2026

    how to fundraise in 1356 words tl;dr don’t run out of money. and have relationships. and build a giant vision. and...ok there's kinda a lot. we'll get to all of it, but here's the shortest version I could write https://t.co/AqgiZ4q6gO

    358258356K viewsView on X
  • Sep 9, 2025

    Today we’re announcing our $13M Seed round, led by @insightpartners with support from @a16z @speedrun, Begin Capital, and @ZeroPrimeVC. Over the past year, monthly revenue has grown 40x and we’ve integrated more than 400K models, establishing Runware as an essential service for AI teams that need price, performance, and reliability at scale. Our unified API now powers 100K+ developers daily. Serves 250M+ end users. And supports major enterprises, including @Quora, @openart_ai, @NightcafeStudio, and @higgsfield_ai. This funding allows us to expand our state-of-the-art model library with day-zero releases, move into new modalities like audio and LLMs, and invest heavily in R&D, documentation, and UI/UX to deliver the best developer experience in the industry. If you’re ready to see what Runware can do in production, reach out and we’ll set you up with free credits to get started. Pay less, build more.

    1885535842K 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 512 interactions against 285K followers, an engagement rate of 0.18%. Posts are seen about 95K times each, and 0.54% of those impressions turn into an interaction. That is about 33.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.93 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video and 50% link out. The account's strongest tracked post pulled 35K interactions, about 69x its own typical post. Only 4 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 Alex Menn's engagement rate on X?
Alex Menn (@_AlexMenn) has an engagement rate of 0.18%, based on the median interactions across 4 original posts from the last 30 days against 284,770 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.18%, Alex Menn sits above the 50th percentile of the 218,393 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 @_AlexMenn have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @_AlexMenn post?
Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 0.93 posts per day across the measured window.

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