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Ontology - The Trust Layer for AI & Web3 engagement report

@OntologyNetwork - 211K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 4, 2026.

Engagement

Per follower
0.017%
of 211K followers
Per impression
0.966%
3.7K views on a typical post
Reach
1.72%
of its followers see a post
Typical post
36
interactions (median)
Saved
0.027%
1 bookmarks on a typical post
Posting rate
0.37/day
active 27% of days
Peak time
05:00 UTC
Monday

Early reading. We have captured 6 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 36 interactions against 211K followers, an engagement rate of 0.017%. Posts are seen about 3.7K times each, and 0.966% of those impressions turn into an interaction. That is about 1.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video and 33% link out. The account's strongest tracked post pulled 158 interactions, about 4.4x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on October 4, 2026. Recurring tag: #kbw2026.

Where this sits in the catalog

At 0.017%, Ontology - The Trust Layer for AI & Web3 sits above the 10th percentile of the 205,152 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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 video67% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 67% 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.
  • 33% 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 254 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Sep 28, 20264.4x their median

    SEOUL, ITโ€™S TIME FOR KBW2026 See you in the morning! https://t.co/8taFzzOGvZ

    1211915311K viewsView on X
  • Aug 13, 20262.1x their median

    Binance will support the Ontology MainNet v3.1.2 upgrade and hard fork. Deposits and withdrawals on the Ontology network pause from 23:00 UTC on 20 Aug. Fork at block 20,800,000, around 00:00 UTC on 21 Aug. Trading is unaffected, no action needed. https://t.co/9lAjo6yzxf

    4143209.9K viewsView on X
  • Aug 3, 2026

    Evaluating AI in games has become one of the harder problems in applied AI. The industry's answer, public leaderboards and automated scores, is failing as the stakes rise. The missing piece is not a better score. It is a trust layer. https://t.co/e3OUnuUvTD https://t.co/Lqh4LAgaEw

    26619010K viewsView on X
  • Sep 14, 2026

    You have already earned a gaming reputation. It is just scattered across every platform you play on, and none of it is yours. ONTO brings it together: rare achievements, clean record, the trust other people handed you. Connect Steam, Twitch and Discord. https://t.co/xSDfDchRFb

    378215.2K viewsView on X
  • Sep 30, 2026

    We're live at Korea Blockchain Week. Find the Ontology booth in the Upbit Zone at Walkerhill, Seoul, today and tomorrow. Come and meet the team and ask us about ONTO Wallet and what we're building on Ontology. #KBW2026 https://t.co/pHWB3Br8NO

    316713.9K viewsView on X
  • Sep 2, 2026

    ๐Ÿšจ Ontology Mainnet Restored The Ontology Mainnet has successfully resumed normal operation following the completion of the required security review and network upgrade. โš ๏ธ All Sync Nodes are required to upgrade to v3.1.5 ASAP to ensure network compatibility and smooth synchronization. ๐Ÿ“– Release notes & upgrade instructions: https://t.co/HzUuY4vcF0 We strongly recommend all Sync Node operators complete the upgrade ASAP and ensure their nodes are fully synchronized and operating normally. Thank you to our validators, node operators, ecosystem partners, and community for your support and cooperation. ๐Ÿ™ https://t.co/hQTQfrIw33

    338115.6K viewsView on X
  • Jul 3, 2026

    Eight years ago, the Ontology MainNet went live. It has not stopped since. But this anniversary is not about looking back. It is about what all of it was building toward: verified human data for the AI economy. ๐Ÿงต https://t.co/LgqdygIVT1

    237858.1K viewsView on X
  • Aug 27, 2026

    Ontology x Allora Labs: The Open AI Economy https://t.co/s2MoG4fS1H

    318206.4K viewsView on X
  • Jul 30, 2026

    The Ontology quiz starts at 10:00 UTC in Discord. ONG on the line, and a few questions on @PalzGame for anyone who has been paying attention. Winners need 50 ONT staked to claim, so get that sorted now. https://t.co/pvUWHD0sCw https://t.co/mgDWQ7UX4e

    237914.7K viewsView on X
  • Sep 1, 2026

    ๐Ÿšจ Ontology Mainnet Security Update Our ongoing security review has identified malicious attack activity targeting the network. The Mainnet will remain temporarily paused while we implement a security upgrade and conduct comprehensive verification. โœ… No user assets have been compromised or impacted. We will continue security checks through both internal technical reviews and assessments with independent third-party security organizations to ensure the safety and integrity of the network and assets. Our current goal is to restore Mainnet operations within 24 hours, subject to the successful completion of all required security checks and the upgrade. ๐Ÿ”— Official announcement: https://t.co/faxk76AShl

    285516.0K 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

#kbw2026

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 36 interactions against 211K followers, an engagement rate of 0.017%. Posts are seen about 3.7K times each, and 0.966% of those impressions turn into an interaction. That is about 1.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 05:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 67% carry an image or video and 33% link out. The account's strongest tracked post pulled 158 interactions, about 4.4x its own typical post. Only 6 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 Ontology - The Trust Layer for AI & Web3's engagement rate on X?
Ontology - The Trust Layer for AI & Web3 (@OntologyNetwork) has an engagement rate of 0.017%, based on the median interactions across 6 original posts from the last 30 days against 210,729 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.017%, Ontology - The Trust Layer for AI & Web3 sits above the 10th percentile of the 205,152 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 @OntologyNetwork have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @OntologyNetwork post?
Most posts go out around 05:00 UTC, and Monday is its busiest day, at roughly 0.37 posts per day across the measured window.

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