David Sacks engagement report
@DavidSacks - 1.7M followers on X
Measured over 9 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 4.4K interactions against 1.7M followers, an engagement rate of 0.255%. Measured over 9 original posts, its engagement rate beats 94% of 3,774 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 364K times each, and 1.20% of those impressions turn into an interaction. That is about 21.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 78% carry an image or video, 11% are part of a thread and 22% link out. The account's strongest tracked post pulled 51K interactions, about 45x its own typical post.
Measured over 9 original posts from a 30-day window, last computed on September 1, 2026.
Compared with accounts its own size
David Sacks's engagement rate beats 94% of the tracked X accounts closest to it in follower count (3,774 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 62% 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 0.255%, David Sacks sits above the 50th percentile of the 36,654 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.433%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.433% |
| 90th percentile | 2.10% |
| 99th percentile | 160.5% |
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 01:00 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% | 53K |
| 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% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -3% | 98K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 231K |
| Monday | 0% | 288K |
| Tuesday | -2% | 278K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 245K |
| Friday | -3% | 253K |
| Saturday | +3% | 227K |
Best tweets
- Jul 27, 202645x their median
btw anthropic's internal document on this literally said "we don't want it to be known that we are working on this.” it was called project panama. here's exactly what happened: 1: anthropic concluded that books were the cheapest way to build a world-class model because they gave claude curated facts, structured arguments, compelling stories, and writing “an editor would approve of.” 2: once anthropic decided it needed books at enormous scale, its first solution was piracy. it downloaded 7m+ books from online libraries including libgen. the judge later wrote that although anthropic had legal ways to buy them, it chose piracy to avoid what dario amodei called the “legal/practice/business slog.” 3: that piracy created a massive legal risk. so in february 2024, anthropic hired tom turvey, the former head of partnerships for google books, to find a legally safer way of obtaining “all the books in the world.” 4: turvey first contacted major publishers about licensing their catalogs. those attempts didn’t produce agreements, so anthropic chose a route that required no publisher permission: buying millions of physical books through distributors and used-book retailers. 5: within about a year, anthropic spent tens of millions acquiring and scanning millions of books, including many rare and 1/1 titles. one vendor proposal targeted 500,000 to 2 million books in six months. 6: to scan that many books within months, the vendors physically dismantled them. a hydraulic cutter removed each spine. the pages were trimmed to size, fed as loose sheets through high-speed industrial scanners, and converted into searchable PDFs. the paper remains were then sent for recycling. 7: these PDFs were fed into claude as training data. the complete collection became a private, searchable anthropic library that the company planned to “store forever.” the scans aren’t available to the public and were never open-sourced.
- Aug 1, 20269.4x their median
David Sacks on Mamdani’s Government-Run Grocery Stores “It is ironic that they're going to be checking ID to make sure people aren't coming over from Jersey but if you want to come over illegally from any country in the world, that's just fine.” https://t.co/U7TGIzIHKk
- Jul 30, 20266.1x their median
More than a year ago, the House passed the Clarity Act. There’s been progress since — thousands of hours of bipartisan negotiations took place at the staff and Member levels. The Senate Committees on Banking and Agriculture advanced their respective titles. And Senate Republicans produced a floor-ready product that, as I type this, is waiting for a vote. It’s disappointing — but not surprising — that Senate Democrats are choosing politics on the cusp of a major victory for American leadership. Find another instance in history where Congress, when given the choice, opted to push an industry out of the United States rather than smartly regulate it. American Exceptionalism was once a bipartisan goal; if Clarity fails, I have serious doubts. These same Democrats — many of whom have taken millions of dollars from the crypto industry — proclaim that Clarity lacks safeguards for consumers and falls short in countering illicit finance. Nothing could be further from the truth. Titles II and III materially uplift regulatory and compliance obligations for digital asset intermediaries, placing them on similar footing with traditional financial institutions. The Blockchain Regulatory Certainty Act — which Washington lobbyists have spun up as a boogeyman for certain groups of prosecutors and law enforcement — does nothing other than codify longstanding Treasury Department policy that’s remained consistent across Administrations: non-custodial builders and developers are not, and have never been, subject to registration obligations under the Bank Secrecy Act. And at this point, major law enforcement trades that once opposed the bill, including the Fraternal Order of Police, have now endorsed it. The Senate needs to vote NOW on this landmark legislation. The truth is that Senate Democrats are afraid to advance the Clarity Act as they fear Senator Warren and the “Anti-Crypto Army” she once promised to build. In the days ahead, Leader Thune will put this theory to the test. Will Senate Democrats be on the side of American Exceptionalism, or will they opt to cede American leadership of a global industry for fear of the bespectacled squirrel’s Left flank? America will lead or America won’t. It’s not more complicated than that. I believe Satoshi once said it best: “If you don’t believe me or don’t get it, I don’t have time to try to convince you, sorry.”
- Aug 7, 20263.5x their median
Most people don't realize how big of a growth wave we are currently experiencing. So far, with 88% of S&P 500 companies reporting earnings, the index has posted +50.4% growth in earnings year-over-year. To put this into perspective, the already astronomical expectation of +23.1% growth has been more than doubled. This will mark the 2nd consecutive quarter of earnings growth above +25% and the 7th consecutive quarter of double-digit earnings growth for the S&P 500. The last time growth was this strong was in Q2 2021 as the US economy emerged from the pandemic and $4+ trillion in stimulus was handed out. We are arguably in the midst of the biggest technological revolution in US history. The data is absolutely insane.
- Jul 26, 20263.4x their median
The entire tech industry (save for Anthropic) has come out in favor of open source AI. So what happens next? Will Anthropic change its lobbying efforts? Not likely. Now the gaslighting begins: “Nobody is trying to ban open source.” “We just want to limit who can use it.” “We just want to limit who can contribute to it.” “We just want to limit how powerful those models can be.” “We just want to make sure the guardrails (we lobbied for) can’t be removed.” The net effect will be the same. They won’t stop until they kneecap open source. The rest of the industry needs to watch these guys like a hawk.
- Jul 27, 20263.2x their median
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: https://t.co/NtXQuWm2g5
- Aug 21, 20262.6x their median
President Trump was ahead of the curve requiring AI companies to build their own power generation so new data centers don’t raise electricity prices for residential ratepayers. Done right, data centers actually lower prices by producing excess power and funding grid upgrades. They also pay for better schools, more social services, and lower property taxes. President Trump is unique in his ability to stand up to media hoaxes. The data center hysteria will pass, and he’ll be proven right again. https://t.co/1Ii0bZmPAY
- Aug 13, 20261.9x their median
Fascinating. Some data centers came to a struggling town in Washington state. Did it run out of water? Was the community destroyed? Let’s see. The town…built a new high school, hospital, library, sewage systems, and police & fire stations. Poverty fell from 29% to 6%. Oh. https://t.co/BDyDWqUUWt
- Aug 18, 20261.7x their median
🚨The All-In Summit 2026 Featured Speakers: Jensen Huang (@JensenHuang), CEO of NVIDIA Satya Nadella (@satyanadella), CEO of Microsoft Jared Isaacman (@rookisaacman), NASA Administrator Gwynne Shotwell (@Gwynne_Shotwell), President and COO of SpaceX Martin Shkreli (@MartinShkreli), Investor Nick Shirley (@nickshirleyy), Independent Journalist Jake Paul (@jakepaul), Investor and Entrepreneur Steve Hilton (@SteveHiltonx), Candidate for CA Governor Spencer Pratt (@spencerpratt), Former Mayoral Candidate Abigail Shrier (@AbigailShrier), NY Times Best Selling Author Blake Scholl (@bscholl), CEO of Boom Supersonic Plus, appearances from your favorite Bestie Guesties, Brad Gerstner (@altcap) and Bill Gurley (@bgurley)! And new this year, we're turning the outside of The Shrine into an immersive experience that includes a Frontier Tech Hub, feat. AI and robotics demos, a Gifting Suite and a Wellness Suite. Stay tuned for more. It all happens September 13-15: https://t.co/e4PyODrnYJ #AllInSummit
- Aug 25, 2026
President Trump is the best ally that innovators have in Washington. https://t.co/LrYzSXQSgk
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 4.4K interactions against 1.7M followers, an engagement rate of 0.255%. Measured over 9 original posts, its engagement rate beats 94% of 3,774 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 364K times each, and 1.20% of those impressions turn into an interaction. That is about 21.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 78% carry an image or video, 11% are part of a thread and 22% link out. The account's strongest tracked post pulled 51K interactions, about 45x its own typical post.
- What is David Sacks's engagement rate on X?
- David Sacks (@DavidSacks) has an engagement rate of 0.255%, based on the median interactions across 9 original posts from the last 30 days against 1,711,944 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.255%, David Sacks sits above the 50th percentile of the 36,654 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 @DavidSacks have real engagement?
- Its engagement rate beats 94% of the tracked X accounts closest to it in follower count (3,774 accounts), which puts it in the top 10% for its size 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 @DavidSacks post?
- Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 1.23 posts per day across the measured window.