Bill Gurley engagement report
@bgurley - 813K followers on X
Measured over 6 original posts from a 30-day window, last computed on September 28, 2026.
Engagement
Early reading. We have captured 6 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 442 interactions against 813K followers, an engagement rate of 0.054%. Posts are seen about 64K times each, and 0.685% of those impressions turn into an interaction. That is about 7.93% 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 70% of days. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 17% carry an image or video and 50% link out. The account's strongest tracked post pulled 20K interactions, about 45x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on September 28, 2026.
Where this sits in the catalog
At 0.054%, Bill Gurley 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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 03:00 UTC, and Sunday 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% | 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 17% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 17% 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 291 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
- Aug 2, 202645x their median
Unbelievably embarrassing for Google that Gemini hasn’t committed any cybercrimes yet
- Oct 15, 202510x their median
I have written my first book! A passion project of almost 10 years, Runnin' Down a Dream aims to give people both the motivation & the methods for thriving in a career they actually love. Put a lot of heart and soul into this - hope you ❤️ it. Pre-order: https://t.co/vR4XG6JxDy
- Jul 31, 202611x their median
We got attacked by secret unreleased proprietary models and defended ourselves with an open model, more precisely the @nvidia quantized version of GLM 5.2 coming from @Zai_org. Banning any open model would hurt first cyber security defenders, startups, small companies, researchers and everyone who's not a frontier lab and need on-prem affordable controlable models to compete and protect themselves. Let's not do that!
- Aug 11, 20268.1x their median
In Loudoun Virginia home to more than 200 data centers, tax revenue from data centers has exploded. As a result, over the past 10years, they lowered the real property tax rate every year from $1.145 in tax year 2016 to $0.805 cents per $100 in assessed value for 2026. https://t.co/P1fo5ISG41
- Aug 11, 20264.8x their median
🚨 JUST IN: DoorDash is leaving Delaware for Nevada. Stockholders controlling 54.2% of DoorDash’s voting power have approved the reincorporation, including cofounders Tony Xu, Andy Fang and Stanley Tang. The board unanimously backed the move. DoorDash pointed directly at Delaware’s “surprising” court outcomes and increasingly litigious environment, saying Nevada offers a more predictable, statute-based legal system. A major founder-led tech company just made the DExit case in its own SEC filing. https://t.co/iGTzgGKQgw
- Aug 1, 20263.9x their median
I’ve never met Leo, and from all I can gather he was an exceptional student. Well above top 1%. Probably > 1/10,000. That said I don’t think he was a “student of finance.” I asked ChatGPT to name the top 25 investing books of all time. And then asked what percentage of those books discussed leverage and tail risk. The answer below. Quite unusual to chose a career where you are smart at everything else perhaps, but ignorant about one of the most discussed elements of the practice. You have to be willfully uneducated. It’s dangerous to talk about this execution as anything other than reckless and careless. Simply because that’s the only lesson the future investors need to hear. Nothing surprising happened here. Just what you would expect from running a portfolio that leveraged. Was just a matter of time. Very “simple” math.
- Aug 4, 20263.9x their median
Super fun to do this again with @patrick_oshag Randomly ran into Patrick in Palo Alto last Tuesday and recorded this on Wednesday when the AI complex was 35-40%ish off its June highs. https://t.co/11R0J7l9T7
- Aug 18, 20262.9x their median
My conversation with @benthompson. Ben has been writing Stratechery for over a decade and remains one of my favorite business thinkers. We covered a lot. Every important company in the industry and the forces acting on all of them. - Why he thinks it would be problematic for the US to win the AI race - Will we run out of money to fund AI - Google becoming Berkshire Hathaway - Why ads are amazing - TSMC, Intel, and Samsung - Nvidia's invisible price cuts + biggest competitors - Microsoft, Amazon, Apple, and Meta I love talking to Ben about everything happening in markets and technology. Enjoy! TIMESTAMPS 0:00 Intro 0:59 America and the AI Race 8:26 AI’s Funding Problem 15:31 AI’s Capabilities and Limits 20:30 Aggregation Theory, AI, and Ads 31:10 Compute, TSMC, and Intel 47:31 Amazon and Apple’s AI Moats 54:43 The Frontier AI Players 74:07 Nvidia and Commoditized Intelligence 82:52 What Survives an AI Bubble?
- Sep 16, 20262.7x their median
I'm not of fan of regulation for two reasons - 1) its hard to get right, and 2) its highly susceptible to regulatory capture. That said, if we insist on doing it, we should try to get it correct. As "safety" seems is the primary goal of this AI regulation exercise, I wanted to share that I recently went deep on both the 737 Max (2 crashes) and Fukushima accidents. In both cases, the investigations led to a conclusion that "regulatory capture" was the EXACT failure that led to both safety incidents. Boeing/FAA and Tepco/NISA. As a result, with safety as the #1 goal, the regulator MUST BE someone with authority and accountability "over" the regulated company. The idea that it could be a friendly third party with lots of cross-relationships is structurally broken idea. Ask Mr. Kiyoshi Kurokawa. If we insist on doing this the regulator (1) needs to be 100% independent, 2) the "tests" and "procedures" need to come for the regulator not the company, and (3) the regulator needs to understand their responsibility is to the American people. They need to feel the authority over the regulated company and the responsibility to the nation. It's imperative. Or it will fail.
- Aug 27, 20262.0x their median
NVIDIA and Hugging Face have had serious acquisition conversations in recent weeks about a deal that would value Hugging Face at over $13 billion. https://t.co/nj9qUsrUZY
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 442 interactions against 813K followers, an engagement rate of 0.054%. Posts are seen about 64K times each, and 0.685% of those impressions turn into an interaction. That is about 7.93% 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 70% of days. Most posts go out around 03:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 17% carry an image or video and 50% link out. The account's strongest tracked post pulled 20K interactions, about 45x its own typical post. Only 6 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 Bill Gurley's engagement rate on X?
- Bill Gurley (@bgurley) has an engagement rate of 0.054%, based on the median interactions across 6 original posts from the last 30 days against 812,730 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.054%, Bill Gurley 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 @bgurley have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @bgurley post?
- Most posts go out around 03:00 UTC, and Sunday is its busiest day, at roughly 1.2 posts per day across the measured window.