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Kleiner Perkins engagement report

@kleinerperkins - 307K followers on X

Measured over 2 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Per follower
0.006%
of 307K followers
Per impression
0.268%
6.5K views on a typical post
Reach
2.15%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.1%
6 bookmarks on a typical post
Posting rate
0.8/day
active 33% of days
Peak time
13:00 UTC
Tuesday

Early reading. We have captured 2 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 18 interactions against 307K followers, an engagement rate of 0.006%. Posts are seen about 6.5K times each, and 0.268% of those impressions turn into an interaction. That is about 2.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 197 interactions, about 11x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on September 5, 2026.

Where this sits in the catalog

At 0.006%, Kleiner Perkins sits above the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 13:00 UTC, and Tuesday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 50% 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.
  • 0% 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 422 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

  • Jul 14, 202611x their median

    We’ve raised $400M at a $3.8B valuation to further advance AI-driven molecular design. The round was led by @IndexVentures, alongside @KleinerPerkins, @Sequoia, @_DimensionCap, and others. https://t.co/o8eEQZDB2f

    1541582085K viewsView on X
  • Jun 25, 20267.3x their median

    We're excited to back @sailresearchco, the inference platform built for long-horizon, asynchronous agents. The next wave of AI isn't a person typing into a box. It's agents running for minutes or hours, burning orders of magnitude more tokens per task. At that scale, cost and capacity beat raw latency, and teams are already hitting budget caps. @neilmovva and @blintzbase are solving this full-stack, from CUDA kernels to the API. Hear Neil and @anaganath on why inference is being rebuilt for the age of agents.

    12055117K viewsView on X
  • Jul 14, 20266.1x their median

    Chai Discovery cofounder @jackdent says AI drug discovery hit a major inflection point in 2025. As a result, it's now being deployed at the biggest pharma companies as part of their core discovery engines. "Over the course of 2025, these models went from being research curiosities... to being able to design molecules without needing to fine-tune them on a lot of data." "You can really just prompt them in the way that you'd prompt an LLM with a target, maybe some disease you're going after. And they will design a number of candidates that would help do that, essentially." "A year, year and a half ago, basically none of this stuff worked." "In 2025 we really crossed the Rubicon. And now these technologies are actively being deployed in companies like Eli Lilly, Novartis, Pfizer. These are some of the most scientific, highest-tech companies in the world. And they're putting them into real drug programs and making them part of their core discovery engines."

    96112129K viewsView on X
  • Apr 21, 20263.1x their median

    To make history, you have to honor it. A look back at the people, partnerships, and defining moments that shaped Kleiner Perkins, and still guide how we back founders today. https://t.co/L0xpVdkPJT

    4347116K viewsView on X
  • Jul 15, 20262.9x their median

    TerraFirma started with a question: when @SpaceX gets to Mars, who builds the city? @noah_schochet and @NoahMcGuinn worked on programs including Starlink, Starshield, and Starship. They saw that even at @SpaceX, physical infrastructure was often the bottleneck. Now they’re building the answer with @TerraFirma_Inc: a new kind of robotics construction company already deployed on job sites in Texas. The long-term ambition goes much further. Watch @josh_coyne sit down with @noah_schochet to talk about Series A, and the future of construction on Earth and beyond. Read more about our investment: https://t.co/ncHEXzODNZ

    4163211K viewsView on X
  • Jul 30, 20262.7x their median

    Four years ago, @KaranKunjur and @neelkunjur made a contrarian bet: while the satellite industry was building smaller, the most important missions in space would require more power, aperture, and mass. Since then, @K2SpaceCo has successfully flown Gravitas and signed more than $1 billion in commercial and government contracts. Now, the company is preparing to scale production. We’re thrilled to co-lead K2’s Series D and continue our partnership with Karan, Neel, and the team. @LucasLGOliveira visited them at K2’s factory in Torrance to see the operation up close and hear what comes next.

    3872111K viewsView on X
  • Aug 25, 20261.5x their median

    We’re back with Season 2 of Builders, a @kleinerperkins video series where we sit down with the founders, operators, and investors building the products and infrastructure shaping the next decade of technology. For the first episode of S2, @josh_coyne and @LM_Braswell sit down with @AnthropicAI's @katelyn_lesse and @angjiang to discuss how the Claude platform teams keep up with demand that keeps rewriting the roadmap. They also get into why not all tokens deserve the same job and how trust and observability get built into enterprise agent systems. Tune in ⬇️

    212319.6K viewsView on X
  • Jul 20, 2026

    The next generation of semiconductors, batteries, clean energy systems, and advanced manufacturing will depend on materials that have yet to be discovered. @cusp_ai is building the infrastructure to find them. Today, the company launched its AI Materials Foundry, a global network of data, labs, compute, and scientific expertise designed to accelerate the development of new materials. We’re excited to co-lead CuspAI’s $450 million Series B alongside NEA and partner with @ac_edwards_1, @wellingmax, and the @CuspAI team as they expand across the United States, Asia-Pacific, and Europe. Hear more from @josh_coyne , Chad and Max ⬇️

    1940111K viewsView on X
  • Jul 14, 2026

    Next up in our "History in the Making" series: a film about @glean. We wanted to capture a few of the company's "magic moments," so we spent the day with the team at their San Francisco office to see how they build, what the product means for customers, and the culture driving it all.

    1253116K viewsView on X
  • Jun 30, 2026

    We are pleased to announce that @KleinerPerkins' @mamoonha is the new chair of TechNet's Executive Council. With his experience helping grow some of the world's most transformative companies, his voice will be vital to our advocacy for a pro-innovation agenda that benefits all Americans.

    810120K 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 18 interactions against 307K followers, an engagement rate of 0.006%. Posts are seen about 6.5K times each, and 0.268% of those impressions turn into an interaction. That is about 2.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 197 interactions, about 11x its own typical post. Only 2 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 Kleiner Perkins's engagement rate on X?
Kleiner Perkins (@kleinerperkins) has an engagement rate of 0.006%, based on the median interactions across 2 original posts from the last 30 days against 306,753 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Kleiner Perkins sits above the 10th percentile of the 66,258 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 @kleinerperkins have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @kleinerperkins post?
Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 0.8 posts per day across the measured window.

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