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Kimi.ai engagement report

@Kimi_Moonshot - 361K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Per follower
0.208%
of 361K followers
Per impression
0.67%
111K views on a typical post
Reach
31.0%
of its followers see a post
Typical post
746
interactions (median)
Saved
0.188%
210 bookmarks on a typical post
Posting rate
0.43/day
active 33% of days
Peak time
07:00 UTC
Monday

Early reading. We have captured 4 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 746 interactions against 361K followers, an engagement rate of 0.208%. Posts are seen about 111K times each, and 0.67% of those impressions turn into an interaction. That is about 30.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 07:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video and 50% link out. The account's strongest tracked post pulled 25K interactions, about 33x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on September 2, 2026.

Where this sits in the catalog

At 0.208%, Kimi.ai sits above the 50th percentile of the 66,258 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

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 07:00 UTC, and Monday 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video75% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% 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 302 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 18, 202633x their median

    Feeling all the love for Kimi K3 already. Here are some of the amazing things people have been building with it. Enjoy K3.

    23K1.1K4811441.9M viewsView on X
  • Jul 27, 202621x their median

    Kimi K3 (open weights, coming soon) https://t.co/paxyDz2pEv

    14K1.0K4283851.1M viewsView on X
  • Jul 27, 20266.2x their median

    We've open-sourced MoonEP, our high-performance communication library for distributed MoE workloads. Built to make expert-parallel communication more efficient at scale, MoonEP helps reduce communication overhead in large MoE training and inference systems. Explore on GitHub: https://t.co/h2Rcwg88dQ

    4.0K4826562407K viewsView on X
  • Jul 27, 20266.2x their median

    We've open-sourced FlashKDA, our high-performance CUTLASS-based implementation of Kimi Delta Attention kernels. It delivers 1.72×–2.22× prefill speedup over the flash-linear-attention baseline on H20, and works as a drop-in backend for flash-linear-attention. Explore on GitHub: https://t.co/QScjWsJqSy

    4.1K4145542174K viewsView on X
  • Jul 27, 20265.8x their median

    We've open-sourced AgentENV in collaboration with kvcache-ai. AgentENV is a distributed system for running agent environments at scale. Its components power agentic RL training for Kimi K3, with fast snapshot, resume, and fork support for large-scale parallel agent workflows. Explore on GitHub: https://t.co/Dsxyw5rLqm

    3.7K4766349190K viewsView on X
  • Aug 3, 20264.5x their median

    Build Slides with Kimi Work - Tutorial #1. Kimi Slides handles the entire slide-building process: - Clear structure and research, powered by Kimi K3 - Cohesive design, including polished charts and SmartArts - Editable and ready to download Let us know what you'd like to see next in the comments!

    2.9K23016754210K viewsView on X
  • Jul 28, 20263.9x their median

    It takes a crew to land a moonshot. Join the Kimi Ambassador Program. Anyone who's turned an untested idea into reality knows: moonshots are never a solo mission. It takes a crew. The Kimi Global Ambassador Program finds likeminded individuals on the same path, bringing the crew together. We hope that you: 🌙 Are influential in your own community, whether it be in tech, entrepreneurship, content creation, or on campus 🌙 Have implemented Kimi K3 into products, agents, workflows, teams, and communities 🌙 Are willing to share your experiences and passions to a broader community Apply here: https://t.co/4IqlGEbfIx

    2.4K19419264240K viewsView on X
  • Jul 27, 20263.8x their median

    We are releasing PerceptionBench, a benchmark that isolates visual perception and evaluates it as a set of atomic capabilities - discovered from how today's models fail, rather than defined in advance. From frontier-model failures across 42 benchmarks, we derive 10 atomic perceptual capabilities and construct 3,000 verified questions, each isolating a single capability and answerable by looking, with no reasoning or external knowledge required. Blog: https://t.co/I1QU83CiYv GitHub: https://t.co/F5E0VjYgh0 Hugingface: https://t.co/zMdyQD8HO4

    2.5K2317437149K viewsView on X
  • Jul 18, 20262.5x their median

    Kimi Business Membership is now available for enterprise orders, offering teams all Kimi Allegretto plan benefits with enterprise-grade support. Highlights: > Starts from 5 seats, billed annually > Supports corporate bank transfer & self-service invoicing > Supports enterprise-grade data privacy & dedicated technical support If you need more than 20 seats, you can place multiple orders, or contact the Kimi Business team at [email protected] 🔗Get Kimi Business: https://t.co/anIdBdC9HE 🔗FAQ: https://t.co/oSai80IU2h

    1.6K949331258K viewsView on X
  • Aug 19, 20261.8x their median

    Kimi Work for Financial Analysts - Tutorial #2 Use Kimi Work for 3 common investment research tasks: - Build a live investor dashboard - Update financial models in spreadsheet - Process and generate reports in batch Stay tuned for more Kimi Work workflows! https://t.co/nnvBnapqVu

    1.2K73801187K 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 746 interactions against 361K followers, an engagement rate of 0.208%. Posts are seen about 111K times each, and 0.67% of those impressions turn into an interaction. That is about 30.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 07:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video and 50% link out. The account's strongest tracked post pulled 25K interactions, about 33x its own typical post. Only 4 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 Kimi.ai's engagement rate on X?
Kimi.ai (@Kimi_Moonshot) has an engagement rate of 0.208%, based on the median interactions across 4 original posts from the last 30 days against 361,028 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.208%, Kimi.ai sits above the 50th 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 @Kimi_Moonshot have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Kimi_Moonshot post?
Most posts go out around 07:00 UTC, and Monday is its busiest day, at roughly 0.43 posts per day across the measured window.

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