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GV engagement report

@GVteam - 514K followers on X

Measured over 19 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 514K followers
Per impression
0.221%
7.7K views on a typical post
Reach
1.50%
of its followers see a post
Typical post
17
interactions (median)
Saved
0.026%
2 bookmarks on a typical post
Posting rate
1.3/day
active 50% of days
Peak time
14:00 UTC
Wednesday

A typical post picks up 17 interactions against 514K followers, an engagement rate of 0.003%. Measured over 19 original posts, its engagement rate beats 18% of 3,792 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 7.7K times each, and 0.221% of those impressions turn into an interaction. That is about 1.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 19 posts sampled, 95% carry an image or video, 26% are part of a thread and 37% link out. The account's strongest tracked post pulled 818 interactions, about 48x its own typical post. Recurring topics include #connectedstack, #modcon2026.

Measured over 19 original posts from a 30-day window, last computed on August 27, 2026. Recurring tags: #connectedstack, #modcon2026.

Compared with accounts its own size

GV's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,792 accounts, accounts of similar size (decile 7 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 18% 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 0.003%, GV sits above the 10th percentile of the 36,759 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.4%
Engagement rate as a share of followers, across the 36,759 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,964 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.4%

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 14:00 UTC, and Wednesday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%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
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 18, 202648x 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

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  • Aug 18, 202632x 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

    433423732299K viewsView on X
  • Aug 18, 20264.4x 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

    41285115K viewsView on X
  • Jul 14, 20264.4x 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, 20262.4x 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, 20262.0x 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, 20261.9x 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
  • Jul 20, 20261.8x their median

    AI fluency is becoming an early-career advantage. On @twentyminutevc with @harrystebbings, @claybavor, Co-Founder of GV portfolio company @sierraplatform shares why young people who deeply understand AI tools are increasingly valuable, and how Sierra redesigned its engineering interviews around them.

    1510427.4K viewsView on X
  • Jun 22, 20261.8x their median

    The most influential enterprise AI founders and firms rarely share a room. On September 10 in San Francisco, they will. Connected Stack 2026 — the room for the builders, buyers, and backers defining the future of enterprise AI. 20+ VC firms, usually competitors, each nominate one founder to take the stage. Since speaking last year, founders have raised $3.5B+ in capital and exited $4.5B+. If that's the room you want to be in, RSVP and join us this fall: https://t.co/PSMiMFfshn

    1836418K viewsView on X
  • Aug 12, 20261.8x their median

    Congrats to the @UseBlacksmith team on its Series B! The team is building faster CI and new tools like [code]smith to help developers test, fix, and merge code with confidence. Looking forward to watching the team’s continued success. https://t.co/FEuXEoSAU0

    918306.1K 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

#connectedstack#modcon2026

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 17 interactions against 514K followers, an engagement rate of 0.003%. Measured over 19 original posts, its engagement rate beats 18% of 3,792 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 7.7K times each, and 0.221% of those impressions turn into an interaction. That is about 1.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 19 posts sampled, 95% carry an image or video, 26% are part of a thread and 37% link out. The account's strongest tracked post pulled 818 interactions, about 48x its own typical post. Recurring topics include #connectedstack, #modcon2026.

What is GV's engagement rate on X?
GV (@GVteam) has an engagement rate of 0.003%, based on the median interactions across 19 original posts from the last 30 days against 513,622 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, GV sits above the 10th 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 @GVteam have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,792 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 14:00 UTC, and Wednesday is its busiest day, at roughly 1.3 posts per day across the measured window.

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