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Chamath Palihapitiya engagement report

@chamath - 2.5M followers on X

Measured over 44 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.025%
of 2.5M followers
Per impression
0.401%
157K views on a typical post
Reach
6.33%
of its followers see a post
Typical post
628
interactions (median)
Saved
0.111%
173 bookmarks on a typical post
Posting rate
4.03/day
active 93% of days
Peak time
17:00 UTC
Saturday

A typical post picks up 628 interactions against 2.5M followers, an engagement rate of 0.025%. Measured over 44 original posts, its engagement rate beats 48% of 20,444 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 157K times each, and 0.401% of those impressions turn into an interaction. That is about 6.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Saturday is the busiest day of the week. Of the 44 posts sampled, 80% carry an image or video and 23% link out. The account's strongest tracked post pulled 89K interactions, about 142x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Chamath Palihapitiya's engagement rate beats 48% of the tracked X accounts closest to it in follower count (20,444 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 26% 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 0.025%, Chamath Palihapitiya 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 17:00 UTC, and Saturday 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video80% of posts+111%+108% to +115%34K
Outbound link23% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 80% 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.
  • 23% 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 455 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

  • Sep 20, 2026142x their median

    therapy is such a funny concept “wow, there are so many problems in my life. I should talk to a stupid bitch who voted for Kamala Harris”

    84K4.6K3832092.0M viewsView on X
  • Sep 20, 202691x their median

    I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.

    49K4.7K2.0K1.7K8.4M viewsView on X
  • Aug 17, 202677x their median

    In 2001 George W Bush proposed a partial privatization plan for Social Security so you could put 10% of your SS contribution into the markets. People rejected this. We can now see that if it had passed, the 10% that went into the markets would have outperformed the 90% the government managed, the program would be solvent, and the average SS recipient would be receiving 2X what they currently receive. The worst bet you’ll ever make is betting on government.

    41K5.9K9655042.9M viewsView on X
  • Sep 3, 202675x their median

    I turn 50 today. This is a message to my kids but I offer it to you in case any of it rings useful. I was born in Sri Lanka in 1976 in a country that, at the time, was about to enter a decades long civil war. My father was able to get stationed at the Sri Lankan High Commission in Canada for four years in the early 80s - when some of the fighting was most severe - and which from our vantage point in Canada gave us some respite from an otherwise omnipresent conflict. He came as a diplomat but then my father filed for refugee status after four years when his life was threatened by militants. We stayed in Canada as refugees. My dad never really landed on his feet and we grew up on welfare. My mom stepped up. She did an incredible thing and put our family on her back and kept marching forward. Sometimes the steps were very small but she always tried to keep moving forward. I worked at Burger King starting at 14, giving my paycheck to my mom and dad to support our family in the role that I was assigned - earn enough to pay for our bus passes because we couldn’t afford a car. I was a loser growing up. Some friends, some good memories but mostly forgettable and lonely. I wasn’t very studious but did get my act together in my final year and got into a great university. I immigrated to the US soon after graduating and found an opportunity. Things clicked and I have been traveling a path to find myself ever since. Only in America is this possible… I worked hard, followed the rules, paid my taxes and stayed in California out of loyalty for the opportunities it has given me despite its dysfunction. I found my wife here. Had my kids here. Found my tribe here. There have been some very hard times as well - deaths, divorce, financial pain, mistakes of omission and mistakes of commission. You can’t dwell on these things - they are weights that will pull you down if you’re not careful. Learn from them. Respect them. BUT MOVE ON. To think 50 years ago I could have ever gotten a chance to meet the people I’ve met and have had the experiences I’ve had would have been mind boggling to my parents. It’s mind boggling to me now. We forget often and try to convince others it’s not true but America truly is the best country in the world. Everything and anything is possible here. I can testify. Be grateful to be here. This is the only place that gives EVERYONE a chance to live a great adventure. The first 50 years have been that for me - an incredible adventure. Notice there is nothing here about accomplishments or money. Because it doesn’t matter and it won’t matter. You will be dust in less than 100 years from now and the decision to be remembered won’t be yours so stop sweating it. It’s not in your control. So what is in your control? Be kind. Have fun. Work on something meaningful to you. Find your tribe. Try to find perspective. Find an incredible partner. Have a bunch of kids. Live an adventure. Forgive your parents - they were doing the best they could even if that wasn’t what you deserved. I will do what I can to make my next 50 years a wild ride. You should too. I love you and thank you. ❤️ 🙏🏽🙏🏽

    41K3.0K3.2K5053.7M viewsView on X
  • Aug 14, 202669x their median

    Søren Kierkegaard on the Importance of Walking “Above all, do not lose your desire to walk. Everyday, I walk myself into a state of well-being & walk away from every illness. I have walked myself into my best thoughts, and I know of no thought so burdensome that one cannot walk away from it. But by sitting still, & the more one sits still, the closer one comes to feeling ill. Thus if one just keeps on walking, everything will be all right.”

    36K6.0K3395643.5M viewsView on X
  • Sep 3, 202653x their median

    Exciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. Thank you @ClementDelangue for coming to me. NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗 https://t.co/q8Om2Xc5ye

    27K3.3K1.7K1.3K6.2M viewsView on X
  • Aug 13, 202619x their median

    All other sources of energy combined are utterly insignificant compared to the Sun

    21K2.5K2.0K2086.4M viewsView on X
  • Sep 15, 202640x their median

    The best AI safety we can do is stop the Anthropic IPO. It’s blatant that the EA people are going to cash in their billions and then spend it all taking over the world in the pursuit of a twisted ideology. It could dwarf the Soros and Singham monetary ecosystems. Heed this warning.

    19K5.2K493244587K viewsView on X
  • Sep 16, 202639x their median

    The best way to pace the frontier is to hold the labs fully liable for the behavior of their models.

    21K1.9K9294341.3M viewsView on X
  • Sep 4, 202639x their median

    real https://t.co/dyNGWvgpdz

    22K1.7K3582242.4M 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 628 interactions against 2.5M followers, an engagement rate of 0.025%. Measured over 44 original posts, its engagement rate beats 48% of 20,444 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 157K times each, and 0.401% of those impressions turn into an interaction. That is about 6.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Saturday is the busiest day of the week. Of the 44 posts sampled, 80% carry an image or video and 23% link out. The account's strongest tracked post pulled 89K interactions, about 142x its own typical post.

What is Chamath Palihapitiya's engagement rate on X?
Chamath Palihapitiya (@chamath) has an engagement rate of 0.025%, based on the median interactions across 44 original posts from the last 30 days against 2,475,034 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.025%, Chamath Palihapitiya 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 @chamath have real engagement?
Its engagement rate beats 48% of the tracked X accounts closest to it in follower count (20,444 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 @chamath post?
Most posts go out around 17:00 UTC, and Saturday is its busiest day, at roughly 4.03 posts per day across the measured window.

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