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Max Levchin engagement report

@mlevchin - 256K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Per follower
0.045%
of 256K followers
Per impression
0.939%
12K views on a typical post
Reach
4.75%
of its followers see a post
Typical post
114
interactions (median)
Saved
0.037%
4 bookmarks on a typical post
Posting rate
0.23/day
active 17% of days
Peak time
15:00 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 114 interactions against 256K followers, an engagement rate of 0.045%. Posts are seen about 12K times each, and 0.939% of those impressions turn into an interaction. That is about 4.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 25% are part of a thread and 50% link out. The account's strongest tracked post pulled 47K interactions, about 415x 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 September 25, 2026.

Where this sits in the catalog

At 0.045%, Max Levchin sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video0% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 0% 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 231 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

  • Jun 14, 2026415x their median

    Stanford grads walk out as Google CEO Sundar Pichai takes the stage as commencement speaker. No mention of AI, unlike other uni speakers getting booed down this year. Story for @sfgate shortly https://t.co/qvS2rJ91Ip

    40K3.7K2.1K98111M viewsView on X
  • May 1, 2026313x their median

    This is one of the most jaw-dropping, chilling interviews I have seen. Watch this Rabbi from London, respond to question about the terror stabbing in Golders Green! https://t.co/qjklu1sSQQ

    28K6.3K1.1K4991.9M viewsView on X
  • Feb 27, 2026132x their median

    This is what so-called « pro-Palestinians » did last night to the man who saved the free world. https://t.co/4ulkkmT1Q4

    11K1.9K1.7K4951.8M viewsView on X
  • May 21, 2026877x their median

    https://t.co/E9HCA7JkUg

    4.2K7081791523.4M viewsView on X
  • Feb 23, 202617x their median

    Software development jobs grew 10% over the last year while the overall market declined 5.8%. Quite the narrative violation. https://t.co/Y1ffifq9tJ

    1.7K1686286520K viewsView on X
  • Jan 14, 202613x their median

    Im almost embarrassed to say how many times I listened to this. It actually gave me goosebumps. 😂 👉𝐋𝐨𝐫𝐝 𝐨𝐟 𝐭𝐡𝐞 𝐑𝐢𝐧𝐠𝐬 𝐃𝐢𝐬𝐜𝐨: 𝐎𝐧𝐞 𝐅𝐮𝐧𝐤 𝐭𝐨 𝐑𝐮𝐥𝐞 𝐭𝐡𝐞𝐦 𝐀𝐥𝐥 https://t.co/urntMlJA6o

    1.2K984448462K viewsView on X
  • Feb 27, 20265.0x their median

    Suspect "AI means fewer software jobs" is totally backwards. Most companies in the S&P500 would love to build their own software but have no suitable internal talent. There'll definitely be cross-company migration, but we may be still supply-constrained in software engineering.

    457534116223K viewsView on X
  • Sep 11, 20263.8x their median

    Half a life away, 25 years ago today I stood inside PayPal's East Palo Alto office kitchen staring in total shock at images of Twin Towers burning, trying to make sense of America coming under attack on its own soil. Never forget.

    41869122K viewsView on X
  • Apr 13, 20263.6x their median

    BREAKING: Max Levchin (@mlevchin), Co-Founder of PayPal & CEO of @Affirm — HQ Tour A Masterclass in: Espressos → Big Lebowski → PayPal lessons → Affirm → Economics of AI The Dude abides. “The net IQ of the world Is about to go up 50 points” Result: As intelligence becomes normalized, bad actors & "fine print" companies will get exposed faster. We cover: • Capitalism vs the “warm embrace” of socialism • You can’t perfectly time an IPO • The best time ever to be a CS CEO • AI collapsing the cost of intelligence • Great economic shift underway Strikes & gutters, ups & downs. Recorded at Affirm HQ, March 30, 2026 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Max Levchin, Co-Founder & CEO at Affirm (01:35) Inside Affirm's office espresso bar (06:46) How the love for espressos started at age 5 (10:30) Truth about bad coffee beans (13:51) Strava & cycling (14:56) Meeting Alfred Lin & Tony Hsieh over poker (21:14) Onboarding 800K Shopify merchants in one week (22:59) Big Lebowski in every shareholder letter (32:11) The PayPal lesson that built Affirm (35:25) Being a technical CEO (37:57) Why this is the best time to be a technical CEO (42:10) Should engineers still learn to code? (44:48) Side quest with AI (46:59) Companies AI will destroy (49:46) How AI has changed engineering at Affirm (50:54) Agentic commerce & DoorDash (52:28) Devolution of Credit (55:06) Biggest misconceptions about BNPL (57:42) Being a public company CEO (01:07:01) Advice for private companies (01:11:09) Creating his own economy (01:14:29) Can AI help solve the $39T debt problem? (01:16:00) Learnings (01:17:46) Will average IQ rise or fall?

    326433110381K viewsView on X
  • Jun 25, 20263.6x their median

    Goodbye, my friend. I will miss our Pakwan feasts. https://t.co/HfnQDrOfDF

    3801110426K 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 114 interactions against 256K followers, an engagement rate of 0.045%. Posts are seen about 12K times each, and 0.939% of those impressions turn into an interaction. That is about 4.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 25% are part of a thread and 50% link out. The account's strongest tracked post pulled 47K interactions, about 415x 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 Max Levchin's engagement rate on X?
Max Levchin (@mlevchin) has an engagement rate of 0.045%, based on the median interactions across 4 original posts from the last 30 days against 256,445 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.045%, Max Levchin sits above the 25th percentile of the 205,048 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 @mlevchin have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @mlevchin post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 0.23 posts per day across the measured window.

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