Back to @GVteam's profile

GV engagement report

@GVteam - 513K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 513K followers
Per impression
0.185%
5.4K views on a typical post
Reach
1.06%
of its followers see a post
Typical post
10
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.83/day
active 40% of days
Peak time
17:00 UTC
Friday

A typical post picks up 10 interactions against 513K followers, an engagement rate of 0.002%. Measured over 10 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.4K times each, and 0.185% of those impressions turn into an interaction. That is about 1.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video, 50% are part of a thread and 20% link out. The account's strongest tracked post pulled 829 interactions, about 83x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on October 18, 2026. Recurring tag: #endpoints11.

Compared with accounts its own size

GV's engagement rate beats 16% 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 13% 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 0.002%, GV sits below the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.678%
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 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.

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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 link20% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 20% 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 278 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 18, 202683x their median

    Introducing Harvey II: smarter agents from the start. - Featuring Harvey Tenet, our first model trained for legal work - Built around matters and projects - Agents start with the files, context, permissions, and history they need - Assign tasks to lawyers or agents, then track and review the work - Harvey remembers how you work and writes like you

    710582833249K viewsView on X
  • Aug 18, 202656x their median

    Introducing Warp Factories: open, flexible infrastructure for building cloud software factories. - Configure your factory as code - Use any model and any harness - Measure quality with evals and benchmarks on your own data - Built-in self-improvement and memory https://t.co/q5xqKElmIs

    442414032303K viewsView on X
  • Sep 16, 202633x their median

    Memorial Sloan Kettering opening its precision oncology data to physicians nationwide through OpenEvidence. Today's Forbes has the story. @MSKCancerCenter has spent years building the world's most detailed map of which cancer mutations respond to which treatments. Until now, you had to be treated at MSK to benefit from it. Soon, an oncologist in a small practice in Montana will see the same evidence as a subspecialist in Manhattan, at the moment it matters, for the patient in front of them. More patients getting the right treatment the first time, wherever they live. Read full article here https://t.co/ZMdrchnJ7x

    2515714547K viewsView on X
  • Sep 14, 202621x their median

    My second interview with @Keller, Co-Founder and CEO of @Zipline. 0:11 Scaling to 1 million deliveries a day 4:08 Creating a magical customer experience 7:20 The Fermi Paradox for hardware companies 12:39 Staying ahead of the company 14:31 What won’t change as Zipline scales 17:37 Finding people who will tolerate a bad customer experience 20:51 Strangest challenges: nesting, hail, solar weather 24:12 Selling drones vs selling delivery 28:10 Limiting customer growth 31:46 Attacking the biggest constraint 37:07 Giving the Earth back to humans

    1712110926K viewsView on X
  • Oct 1, 202616x their median

    #1 customer question since 2017: “When can I send an avatar to a meeting for me?” Today, we’re launching @synthesiaIO Sessions - live Avatar conversations that help scale your time, so you can: - Train 1,000 sales reps in a day - Do 1:1’s with 2,000 employees at once - Interview 3,000 customers a week Try it free 👇

    1112116752K viewsView on X
  • Aug 18, 202613x their median

    “AI for science is going to be a fascinating place to be in the next 10 years.” GV’s @DaveMuni joined @EdLudlow on @BloombergTV to discuss his enthusiasm for AI and science, @Modular’s acquisition by @Qualcomm, and perspective on making early bets in AI for a decade — including @sambanovaai, @snorkelai and @flappyairplanes. https://t.co/s9XwKszWDa

    49676320K viewsView on X
  • Jul 14, 20265.8x their median

    AI knows the world's common knowledge. But you are not common. Ask "build an app in React" and it nails it. But ask "what's blocking the launch?" and it falls flat. $17.8M raised from @gv, @dropalltables, @bondcap partners, and more to give your model/agent/app a living mind. https://t.co/jvB9C0tLEv

    45159611K viewsView on X
  • Jul 2, 20263.1x their median

    Building through sideways moments is part of the work. GV Managing Partner @davemuni spoke with @crunchbasenews about the GV portfolio company @modular, their acquisition by @qualcomm, and how he serves as a partner to help founders build through hard moments. https://t.co/kDNQi5D974

    1619415.1K viewsView on X
  • Jul 28, 20263.4x their median

    We're incredibly excited to announce Counsel Studio 🩺 A new deployment platform that brings AI-enabled, physician-supervised care directly into healthcare organizations' existing digital experiences. Health plans, health systems, and consumer health companies can now seamlessly integrate and white-label Counsel’s AI-enabled care model within their own applications.

    2523426K viewsView on X
  • Jun 29, 20262.5x their median

    Welcome @nebraexchange to the GV portfolio. Co-founders @Tejpaul, Anand Subramanian and @manliods are building commercial rails for the global space economy: helping institutions source globally, move faster, and execute with confidence. 🪐 https://t.co/FKbiwLXGtH

    1513224.9K 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.

Recurring topics

#endpoints11

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 10 interactions against 513K followers, an engagement rate of 0.002%. Measured over 10 original posts, its engagement rate beats 16% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.4K times each, and 0.185% of those impressions turn into an interaction. That is about 1.06% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video, 50% are part of a thread and 20% link out. The account's strongest tracked post pulled 829 interactions, about 83x its own typical post.

What is GV's engagement rate on X?
GV (@GVteam) has an engagement rate of 0.002%, based on the median interactions across 10 original posts from the last 30 days against 513,419 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, GV sits below the 10th percentile of the 205,261 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 @GVteam have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter 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 @GVteam post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 0.83 posts per day across the measured window.

Keep going