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Jack Altman engagement report

@jaltma - 403K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Per follower
0.051%
of 403K followers
Per impression
0.151%
135K views on a typical post
Reach
34.0%
of its followers see a post
Typical post
204
interactions (median)
Saved
0.115%
155 bookmarks on a typical post
Posting rate
0.67/day
active 33% of days
Peak time
00:00 UTC
Tuesday

Early reading. We have captured 3 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 204 interactions against 403K followers, an engagement rate of 0.051%. Posts are seen about 135K times each, and 0.151% of those impressions turn into an interaction. That is about 33.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video and 67% are part of a thread. The account's strongest tracked post pulled 4.5K interactions, about 4.7x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 4, 2026.

Where this sits in the catalog

At 0.051%, Jack Altman sits above the 25th percentile of the 204,694 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 00:00 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: 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: 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 video67% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 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 908 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jun 22, 20264.7x their median

    We have raised a $75M Series B from @IndexVentures and @usv, with continued support from @benchmark! https://t.co/uFgqlgmxTL

    3.1K2627573151.6M viewsView on X
  • Sep 9, 202612x their median

    Look, you all know I'd love nothing more than a feature length film making fun of my brother. Unfortunately based on the preview it looks like the only thing they got right is the walk 😂

    2.3K251063227K viewsView on X
  • Jul 28, 202611x their median

    My conversation with Sam Altman (@sama), CEO of OpenAI. We discuss: - Kimi, distillation, and open source - OpenAI's compute bets - The Hugging Face incident - What happens after AGI - Raising kids in an age of abundant intelligence - And much more Enjoy! TIMESTAMPS 0:00 Intro 4:10 The Race for Compute 14:24 A Sci-Fi Cyber Incident 16:14 The Promise and Risks of AGI 23:27 How AI Will Change Jobs 29:38 Sam’s Vision for a Personal AI 35:02 Robotics, ChatGPT, and What Comes Next 44:39 The Weight of Leading OpenAI 51:36 OpenAI’s Biggest Lessons

    1.8K19092712.0M viewsView on X
  • Sep 3, 20267.9x their median

    Sam!! I guess even a blind squirrel can find a nut sometimes, congrats https://t.co/xNhGcQtIlD

    1.5K295314134K viewsView on X
  • Aug 12, 20265.9x their median

    Announcing Hone Intelligence has become abundant. Yet the world looks remarkably similar to how it did five years ago. With every model release, the gap between what frontier AI can do and the economic value derived from it widens. Closing the gap requires re-organizing work around organizational outcomes, not individual tasks. Hone builds AI that creates, orchestrates, and improves agents and software continuously to own organizational outcomes over weeks and months. We are ex-founders and early core contributors to Cognition, Mercor, Ramp, and OpenAI. We obsess over real-world value, not theoretical benchmarks. Our core beliefs on closing the gap in the thread below.

    9375314766574K viewsView on X
  • May 26, 20267.4x their median

    QQQ has been a 6.5x net in the last 10 years…tough hurdle to beat https://t.co/jaAs5zhJtZ

    9914150151.1M viewsView on X
  • Jul 16, 20265.3x their median

    Every company must own its intelligence. We've raised $1.5B Series D at a $17.5B valuation. We’ve surpassed $1B ARR and serve over 40 trillion tokens daily, with 95%+ coming from models specialized on customer data. We’re just getting started. More: https://t.co/97J3vTRB0A https://t.co/jeOy3snM0S

    923545559327K viewsView on X
  • Jul 14, 20264.8x their median

    Today, we are announcing Greylock 18, a new $1.5 billion early-stage venture fund. A company begins when a founder sees a future others cannot yet see. There is no team, product, or revenue. Only a deep insight and the courage to start. Being early is lonely work. For years, being right can look exactly like being wrong. Greylock has spent more than six decades partnering with founders through those earliest moments to build enduring companies. Airbnb, Facebook, and Palo Alto Networks all began as improbable ideas driven by founders determined to make them inevitable. AI has made the map blank again. Every part of the economy is now open to reinvention. We believe many of the defining AI companies do not yet exist. We invest selectively and partner deeply with the founders we back. Each Greylock partner makes only one or two new investments a year because the work demands depth. We bring the full attention, network, and resources of Greylock to every partnership. We are builders backing outliers. Founders have their choice of investor. When a founder chooses to partner with Greylock, we understand the weight of that choice and the profound responsibility that comes with it. We seek to be a founder’s first believer and long-term partner. Greylock 18 is our commitment to what does not exist yet.

    7806112418175K viewsView on X
  • Jul 13, 20263.8x their median

    One of the weird constants about YC is that the disses are always the same. Investors always claim valuations have become impossibly high. Competitors always claim we've jumped the shark because the batch sizes are now too big. Historically both have always been mistaken.

    68718587174K viewsView on X
  • May 27, 20263.6x their median

    Uncapped with @JTLonsdale, one of the most prolific builders and investors in tech. Timestamps: (0:00) Intro (0:32) Why Joe keeps building (3:53) Consensus and right (5:39) What Palantir got right (6:53) Pulling forward innovation (9:32) AI vs social media (12:23) Making AI work for America (18:03) Department of War (21:16) Betting on defense (26:51) Robotics, bio, and energy (32:16) Investing in the AI era (35:38) Peptides opportunity (38:35) Texas vs California (40:12) Political correctness

    4484543480K 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 204 interactions against 403K followers, an engagement rate of 0.051%. Posts are seen about 135K times each, and 0.151% of those impressions turn into an interaction. That is about 33.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video and 67% are part of a thread. The account's strongest tracked post pulled 4.5K interactions, about 4.7x its own typical post. Only 3 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 Jack Altman's engagement rate on X?
Jack Altman (@jaltma) has an engagement rate of 0.051%, based on the median interactions across 3 original posts from the last 30 days against 403,200 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.051%, Jack Altman sits above the 25th percentile of the 204,694 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 @jaltma have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @jaltma post?
Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 0.67 posts per day across the measured window.

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