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4EVERLAND | Web3 AI Cloud Platform engagement report

@4everland_org - 283K followers on X

Measured over 1 original post from a 30-day window, last computed on September 6, 2026.

Engagement

Per follower
0.003%
of 283K followers
Per impression
0.315%
2.2K views on a typical post
Reach
0.78%
of its followers see a post
Typical post
7
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.1/day
active 10% of days
Peak time
06:00 UTC
Thursday

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 7 interactions against 283K followers, an engagement rate of 0.003%. Posts are seen about 2.2K times each, and 0.315% of those impressions turn into an interaction. That is about 0.784% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 06:00 UTC, and Thursday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 101K interactions, about 14448x its own typical post. 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 6, 2026.

Where this sits in the catalog

At 0.003%, 4EVERLAND | Web3 AI Cloud Platform sits above the 10th percentile of the 66,128 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%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile119.9%

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 06:00 UTC, and Thursday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 link100% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 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.
  • 100% 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 23 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% below 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

  • Apr 16, 202614448x their median

    Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision. https://t.co/PtlRdpQcG5

    80K9.9K4.6K6.7K14M viewsView on X
  • Mar 18, 2026233x their median

    Introducing MiMo-V2-Pro & Omni & TTS https://t.co/qdufHaBJWY https://t.co/m5YFmV37WB

    1.3K1575990305K viewsView on X
  • Dec 10, 2024220x their median

    ⚡️ Building the Core Infrastructure for a Decentralized Future: An Overview of the 4EVERLAND Ecosystem 🌊 In the midst of a sweeping decentralization revolution in the digital realm, @4everland_org is emerging as a vital cornerstone of the #Web3 ecosystem, backed by our innovative approach and cutting-edge technology. Over the past nearly four years, #4EVERLAND has made significant strides, achieving remarkable milestones with over 3,000,000 registered users and 250,000 developers and enterprise clients. Every day, we see over 30,000 new front-end applications deployed in a decentralized manner and more than 1,000,000 files stored across various #decentralized protocols. Additionally, we manage over 100,000,000 user requests and facilitate more than 100,000 #AI interactions daily. The 4EVERLAND ecosystem continues to foster incredible breakthroughs and advancements.🏗️🎯 https://t.co/dewrXLIPvw We would like to express our sincere gratitude: 💚 Thank you to our 50+ core ecosystems for their invaluable collaboration. @BNBCHAIN @IPFS @ArweaveEco @dfinity @arbitrum @0xPolygon @solana @zksync 💚 Thank you to our 250,000+ clients for their trust and continued support. @SnapshotLabs @heydotxyz @syncswap @Mdextech @LinearFinance @AstarNetwork @tapexyz @rss3_ @VenusProtocol @pumpdotfun 💚 Thank you to the thousands of ecosystem partners who have stood by us throughout this journey. @ensdomains @CelerNetwork @SpaceIDProtocol @GalxeQuest @BandProtocol @sns @Livepeer @everpay_io

    1.0K34513123146K viewsView on X
  • Aug 2, 202696x their median

    Built different 💎 https://t.co/L4MpcA2GNA

    4776011815100K viewsView on X
  • Feb 10, 202618x their median

    🧭 Navigating the AI model maze? We've mapped it for you. The 'AI Gateway' label on @X_nect aggregates key projects offering unified access to multiple AI models. One list to rule them all. Curated projects paving the way: 🔸@Cloudflare 🔸@openrouter 🔸@NetmindAi 🔸@4everland_org 🔸@hodlai_bsc 🔸@OfficialAINFT 🔸@dgrid_ai ✅Explore the full list: https://t.co/ZfyTz3wFe0 ✅Get the Xnect extension: https://t.co/FSDaQiRFtY #Xnect #Web3 #AccessFi #AI

    382955414K viewsView on X
  • Jun 25, 202415x their median

    📥 We’re excited to welcome you to experience #4EVERLAND AI Remote Procedure Call (AI RPC)! This AI service provides seamless access to 100+ Large Language Models (LLMs) through a unified interface. Discover a wide range of #AI models, compare their features, and choose the ones that best meet your specific needs.🚀 Start exploring today👇🏻 https://t.co/DzPvvukJja

    56346689K viewsView on X
  • Jan 1, 20268.6x their median

    We’re excited to partner with @4everland_org As a leading Web3 AI development platform in the DePIN + AI space, 4EVERLAND provides full-stack infrastructure — from decentralized hosting and storage to RPC, AI RPC, and Rollup-as-a-Service — empowering millions of developers and users globally. Through this collaboration, BAS will integrate decentralized identity, credential, and attestation infrastructure into the 4EVERLAND ecosystem, enabling trusted developer identities, verifiable on-chain actions, and secure access across AI, DePIN, and multi-chain services. Together, we’re accelerating the next wave of AI-native Web3 infrastructure, making it more open, composable, and verifiable.

    45122125K viewsView on X
  • Mar 27, 20266.6x their median

    📢Official Announcement: 4EVERLAND Hosting Integrates with @WalrusProtocol⚡️ https://t.co/j8YjQWvBog We are proud to announce that 4EVERLAND Hosting has officially integrated with Walrus, where every byte is provable, programmable, and always available. This integration brings Walrus’ decentralized storage directly into our Hosting suite. It provides all developers with a streamlined path to deploy dApps & dWebs on Walrus, making robust decentralized infrastructure more accessible than ever.🚀 🧵Here's how to get started in just a few clicks.

    2797311K viewsView on X
  • Dec 19, 20254.9x their median

    📣Announcement: 4EVER Bucket Domain Upgraded And Now Live! Dear Community, To deliver a more stable and seamless experience, we have upgraded our storage service domain. Starting now, 4EVER Bucket will be officially accessible via our new domain🔗👇 https://t.co/fKpEa4kVOb This upgrade is fully backward compatible - all existing data and file links remain intact and fully accessible. Should you have any questions or need assistance, please contact our team or refer to our documentation. https://t.co/I48hD43VTT Thank you for your continued trust and support.🧡💛

    184933.9K viewsView on X
  • Jan 9, 20264.7x their median

    We’re excited to partner with @OpenledgerHQ 🤝 At 4EVERLAND, we focus on providing decentralized storage, hosting, and compute-ready infrastructure for AI-native applications. Through our collaboration with OpenLedger, we’re working together to deliver a more complete stack for AI developers — from data availability and storage, to deployment and real-world use cases. Infrastructure should be invisible, reliable, and builder-first. We’re here to make AI development easier, not harder.

    1651112.4K 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 7 interactions against 283K followers, an engagement rate of 0.003%. Posts are seen about 2.2K times each, and 0.315% of those impressions turn into an interaction. That is about 0.784% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 06:00 UTC, and Thursday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 101K interactions, about 14448x its own typical post. 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 4EVERLAND | Web3 AI Cloud Platform's engagement rate on X?
4EVERLAND | Web3 AI Cloud Platform (@4everland_org) has an engagement rate of 0.003%, based on the median interactions across 1 original posts from the last 30 days against 283,330 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, 4EVERLAND | Web3 AI Cloud Platform sits above the 10th percentile of the 66,128 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 @4everland_org have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @4everland_org post?
Most posts go out around 06:00 UTC, and Thursday is its busiest day, at roughly 0.1 posts per day across the measured window.

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