Paul Graham engagement report
@paulg - 5.1M followers on X
Measured over 100 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
A typical post picks up 2.1K interactions against 5.1M followers, an engagement rate of 0.042%. Measured over 100 original posts, its engagement rate beats 70% of 3,791 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 194K times each, and 1.09% of those impressions turn into an interaction. That is about 3.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 8.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 100 posts sampled, 29% carry an image or video, 18% are part of a thread and 20% link out. The account's strongest tracked post pulled 23K interactions, about 11x its own typical post.
Measured over 100 original posts from a 30-day window, last computed on August 31, 2026. Recurring tag: #bluewave.
Compared with accounts its own size
Paul Graham's engagement rate beats 70% of the tracked X accounts closest to it in follower count (3,791 accounts, accounts of similar size (decile 10 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 59% 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 0.042%, Paul Graham sits above the 25th percentile of the 36,759 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.4% |
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 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -3% | 95K |
| 14:00 UTC | -4% | 98K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -4% | 99K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 232K |
| Monday | 0% | 290K |
| Tuesday | -2% | 281K |
| Wednesday | -1% | 252K |
| Thursday | -2% | 245K |
| Friday | -3% | 254K |
| Saturday | +3% | 228K |
Best tweets
- Aug 10, 202611x their median
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis. It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from 41.6% to 67.2%. https://t.co/aZDvqqhHRi
- Aug 21, 20268.9x their median
There may not be many people left in 10 years who can write, or want to read, things longer than a page or two. But there will be at least a few of us, and we'll be a powerful club.
- Aug 16, 20268.8x their median
There is very simple math behind the need to tax billionaires. Billionaire wealth is increasing at an accelerating rate vastly outpacing the overall rise in GDP. This means that their wealth is not growing because the whole pie is growing. Their wealth is growing at your expense and the trend is accelerating. If you are not a billionaire and you and your children want to own things, this is your fight.
- Aug 23, 20268.1x their median
Someone asked what I'd do if I were 17. I'd learn how to build LLMs from scratch, and then train ones as powerful as I could with whatever hardware I could get access to.
- Aug 11, 20267.7x their median
We can finally talk about it: We found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company. We verified that our reasoning token count matches billed API thinking tokens 1:1 for most of the prompts we queried. https://t.co/S7wN8aP3X7
- Aug 19, 20266.0x their median
The Tesla that Jessica just bought cost $48k and has a range of about 350 miles. The one she bought in 2015 cost $135k, adjusted for inflation, and had a range of 270 miles. People who think they dislike capitalism don't know how good they have it.
- Aug 15, 20265.8x their median
🚨🚨 BREAKING NEWS: Blasphemy law is back — but it only applies to Muslims. FSU member and retired police officer Stephen Gray was found guilty of being "grossly offensive", a criminal offence under s127 of the Communications Act 2003, for repeating a joke about Mohammed. Stephen reposted a message he saw on Facebook that said: “Fun facts about bacon! People who eat bacon have a lower chance of marrying a 9 year old!” While giving evidence, Stephen explained that the post was a reference to the marriage between the Prophet Mohammed and Aisha — which was consummated when she was just nine years old, after he married her when she was six. Stephen said the post was intended to be satirical but he also hoped it would spark a serious debate: did that marriage, as recorded in the Hadiths, contribute to the acceptability of child marriage in Muslim countries? District Judge Steven Hood found the post to be “grossly offensive” and dismissed Stephen's defence that it was making a serious political point about the acceptability of child marriage. He found that the post was designed to be offensive and could not be making a serious point because it was light-hearted in nature. He concluded that a conviction would not amount to a disproportionate interference with Stephen’s right to freedom of expression. The Free Speech Union is helping Stephen appeal his conviction and has instructed a top criminal silk, John Beggs KC, to act for him. With your support, we hope to be able to pay for Stephen’s legal defence in the Crown Court and meet the costs of any further appeals. Please donate Stephen's crowdfunder in the link below. Earlier this year, the FSU paid for the defence of Hamit Coskun, who burnt a copy of the Quran outside the Turkish consulate in London. He was initially convicted, but we managed to get that conviction overturned on appeal. When the Crown Prosecution Service (CPS) then tried to appeal the acquittal, we took them on and won again. More recently, the Free Speech Union threatened South Wales Police with legal action after it adopted a draconian version of the Government’s definition of anti-Muslim hostility, instructing officers to record any comment that went beyond “legitimate” discussion of Islam as a 'non-crime hate incident'. We won, and the force withdrew the guidance. Stephen’s case gives us another opportunity to reaffirm the principle that there is nothing illegal about criticising any religion, including Islam. It should not be a criminal offence to repost jokes about Islam that some Muslims find offensive. Read more below and please donate to our Crowdfunder 👇
- Aug 23, 20265.0x their median
LinkedIn users have been editing their work histories to add "AI" and remove "DEI". https://t.co/oUIhwnLJ1W
- Aug 13, 20264.2x their median
SCOOP: Trump has directed the Navy to tear out a complex system for launching fighter jets from its aircraft carriers and instead go back to using steam catapults, a move Navy officials have fought for years and will likely cost billions in extra dollars. U.S. officials say Trump signed a national security memorandum today directing the change, which would involve removing the electromagnetic catapult system used by the ships in the Gerald R. Ford class of carriers https://t.co/1sbN5xkH5q @MarcusReports
- Aug 19, 20263.9x their median
Incoming miracle: We are about to have mRNA cancer vaccines. No thanks to those have demonized this technology and tried to smother it. https://t.co/SExyWb1kC8
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
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 2.1K interactions against 5.1M followers, an engagement rate of 0.042%. Measured over 100 original posts, its engagement rate beats 70% of 3,791 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 194K times each, and 1.09% of those impressions turn into an interaction. That is about 3.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 8.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 100 posts sampled, 29% carry an image or video, 18% are part of a thread and 20% link out. The account's strongest tracked post pulled 23K interactions, about 11x its own typical post.
- What is Paul Graham's engagement rate on X?
- Paul Graham (@paulg) has an engagement rate of 0.042%, based on the median interactions across 100 original posts from the last 30 days against 5,084,848 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.042%, Paul Graham sits above the 25th percentile of the 36,759 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 @paulg have real engagement?
- Its engagement rate beats 70% of the tracked X accounts closest to it in follower count (3,791 accounts), which puts it in the middle of its size range 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 @paulg post?
- Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 8.13 posts per day across the measured window.