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WORLD3 engagement report

@WORLD3_AI - 194K followers on X

Measured over 1 original post from a 30-day window, last computed on September 15, 2026.

Engagement

Per follower
1.26%
of 194K followers
Per impression
0.485%
511K views on a typical post
Reach
259.6%
of its followers see a post
Typical post
2.5K
interactions (median)
Saved
0.036%
184 bookmarks on a typical post
Posting rate
0.57/day
active 37% of days
Peak time
14:00 UTC
Tuesday

Early reading. We have captured 1 original post 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 2.5K interactions against 194K followers, an engagement rate of 1.26%. Posts are seen about 511K times each, and 0.485% of those impressions turn into an interaction. That is about 264.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 17K interactions, about 6.7x its own typical post. Recurring topics include #world3, #routerlink, #aiagent. Only 1 original post 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 1 original post from a 30-day window, last computed on September 15, 2026. Recurring tags: #world3, #routerlink, #aiagent.

Where this sits in the catalog

At 1.26%, WORLD3 sits above the 75th percentile of the 156,969 accounts in this comparison. That places it in the top 25% band, which runs 0.604% to 2.32%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%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%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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 0% 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 304 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

  • Jun 16, 20266.7x their median

    Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: https://t.co/LAsxUdN0JZ Weights: https://t.co/g0A1C4UWx4 API: https://t.co/Kc3E22cbN7 Coding Plan: https://t.co/Nk8Y98HNhU Chat: https://t.co/WCqWT0qCQb

    13K1.7K7249577.7M viewsView on X
  • Jun 1, 20265.7x their median

    Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: https://t.co/fHRdSV7BwZ Token Plan: https://t.co/BDCycxepZw 🚀New! MiniMax Code: https://t.co/GvB4YiB6Ul Weights & Tech Report in ~10 Days

    10K1.1K5732.0K5.2M viewsView on X
  • Jun 9, 20265.0x their median

    Our kids will judge us on how we regulate and progress AI and crypto innovations today.

    9.4K1.1K1.7K168610K viewsView on X
  • Jun 4, 20261.8x their median

    Today we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models. https://t.co/FEXqvfzQFO

    3.6K4762351791.3M viewsView on X
  • Jul 26, 20261.8x their median

    🚨GPT-6 will drop soon: Sam Altman is heading to Washington this week to preview OpenAI’s most powerful model yet👀: • It's capable of original scientific discovery • It solved an 80 year old maths problem autonomously • Runs for much longer without constant supervision • Powerful cyber capabilities (it's likely the model involved in the Hugging Face incident) • This will have a new focus on “knowledge per dollar” rather than benchmarks alone This model looks much bigger and better than a normal ChatGPT incremental update. Are you ready for GPT-6?

    3.7K375139159525K viewsView on X
  • Jun 9, 2026

    Introducing Cohere's first open-source coding model: North Mini Code Small & efficient, designed for agentic performance and built for community input. https://t.co/GYk5ORtysU

    2.3K26668101600K viewsView on X
  • Aug 18, 2026

    🚨 A successor to Fable 5, likely Fable 5.1, is now being tested for a subset of accounts with "Fable 5" selected on Claude Web, and possibly also Claude Code Fable 5 also underwent this greyscale testing earlier on the day of its broader release, and Anthropic regularly carry out these tests pre-launch

    2.2K8912986511K viewsView on X
  • Feb 7, 2026

    SeedDance 2.0 looks super good. Apart from the great motion and details, it's also acoustic! Looking forward to the model. @BytedanceTalk Is there a way to apply for beta testing? https://t.co/sKuL9rMxep

    419344011252K viewsView on X
  • Jun 17, 2026

    RouterLink Playground is now LIVE🎮 Test and chat with every supported model directly inside RouterLink, no separate client, CLI tool, or local setup required. ➡️Chat with @AnthropicAI, @OpenAI, @GoogleDeepMind, @Alibaba_Qwen, @deepseek_ai, @Kimi_Moonshot, @Zai_org, and more ➡️Generate and edit images right in the browser ➡️Filter and search by category (Chat, Image, Video, Audio) ➡️Session sidebar to revisit recent conversations ➡️Uses your RouterLink API key — test before you integrate Explore models before you build on them. One place, one key 🔗 #WORLD3 #WAI #AIagent #RouterLink

    98929530K viewsView on X
  • Apr 20, 2026

    https://t.co/iE0jCXzpF3

    733332131K 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

#world3#routerlink#aiagent#fable#gpt

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 2.5K interactions against 194K followers, an engagement rate of 1.26%. Posts are seen about 511K times each, and 0.485% of those impressions turn into an interaction. That is about 264.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. The account's strongest tracked post pulled 17K interactions, about 6.7x its own typical post. Recurring topics include #world3, #routerlink, #aiagent. Only 1 original post 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 WORLD3's engagement rate on X?
WORLD3 (@WORLD3_AI) has an engagement rate of 1.26%, based on the median interactions across 1 original posts from the last 30 days against 193,630 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.26%, WORLD3 sits above the 75th percentile of the 156,969 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 @WORLD3_AI have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @WORLD3_AI post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.57 posts per day across the measured window.

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