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dFusion AI Protocol engagement report

@dFusionAI - 95K followers on X

Measured over 50 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.1%
of 95K followers
Per impression
1.37%
7.2K views on a typical post
Reach
7.33%
of its followers see a post
Typical post
98
interactions (median)
Saved
0.014%
1 bookmarks on a typical post
Posting rate
1.87/day
active 67% of days
Peak time
22:00 UTC
Wednesday

A typical post picks up 98 interactions against 95K followers, an engagement rate of 0.1%. Measured over 50 original posts, its engagement rate beats 51% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 7.2K times each, and 1.37% of those impressions turn into an interaction. That is about 7.55% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 22:00 UTC, and Wednesday is the busiest day of the week. Of the 50 posts sampled, 86% carry an image or video and 46% link out. The account's strongest tracked post pulled 167 interactions, about 1.7x its own typical post.

Measured over 50 original posts from a 30-day window, last computed on October 12, 2026.

Compared with accounts its own size

dFusion AI Protocol's engagement rate beats 51% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 50% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.1%, dFusion AI Protocol sits above the 25th percentile of the 213,004 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 22:00 UTC, and Wednesday 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video86% of posts+111%+108% to +115%34K
Outbound link46% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 86% 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.
  • 46% 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 290 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

  • Oct 8, 20261.7x their median

    Our founder @rog911turbo is on the ground at @token2049 in Singapore, between main-stage panels and a packed expo floor. A week of conversations about where AI and crypto go next. https://t.co/8G9hWJCXzP

    15449011K viewsView on X
  • Oct 8, 20261.6x their median

    Most people go their whole lives without owning a piece of infrastructure. Roads, power lines, networks, it's always someone else's. A subnet changes that in about five minutes. Pick a domain, deploy it, and you're the operator, with queries and data routing through it from then on, credited to you. Probably the easiest piece of infrastructure anyone's ever owned. https://t.co/fepF6xTkW6

    133111006.8K viewsView on X
  • Sep 30, 2026

    Who needs this? Leave a comment below 👇 https://t.co/01gV4IF5xM

    120416010K viewsView on X
  • Sep 28, 2026

    Knowledge is the heaviest burden, contribute yours to dFusion https://t.co/CSByJANqiN

    1256804.7K viewsView on X
  • Sep 27, 2026

    Your Persona is private right now. You're the only one who can ask it anything. You can find out how it represents you, catch where it gets you wrong, and fix it, with nobody watching. It won't stay private forever. The version you build now is the version other people eventually meet, and it'll have your name on it when they do. https://t.co/Twulcx8f8q

    11731206.1K viewsView on X
  • Sep 22, 2026

    Every question anyone asks dFusion about healthcare routes through one operator. Same for housing. Same for pet care. That operator is whoever claimed the domain, and there is exactly one per topic, permanently. You're not buying a product, you're taking a position in the path that queries travel. Two minutes, 15% off with a referral, ETH on Arbitrum. https://t.co/EGYCPvcWeT

    11371003.5K viewsView on X
  • Oct 6, 2026

    Which topics will people ask AI about most in five years? Healthcare, probably. Housing. Money. Every subnet on dFusion is one of those domains, and every query on that topic routes through whoever operates it. One operator each, permanently. Picking a subnet means deciding which questions you want routed through you. Two minutes, 15% off with a referral, ETH on Arbitrum. https://t.co/EGYCPvcopl

    1146803.1K viewsView on X
  • Oct 9, 2026

    Fifteen statements like "I tend to be quiet" and "I worry a lot," rated from not me to very me. It looks like the least important part of building a Persona. It's actually what lets it answer questions you've never posted about, because your posts show what you said, and this captures how you think. https://t.co/THW4avfen4

    111510023K viewsView on X
  • Oct 10, 2026

    A use for your Persona nobody mentions: rehearsal. Ask it the question you dread being asked. On a panel, in an interview, in your replies. It answers the way you would, so you get to see your own answer from the outside before it counts. Then decide whether that's actually what you want to say. https://t.co/THW4avfMcC

    111410019K viewsView on X
  • Oct 7, 2026

    Can you spot the dFusion Logo? Comment down below if you find it 👇 https://t.co/TgWax23BtS

    10851007.2K 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 98 interactions against 95K followers, an engagement rate of 0.1%. Measured over 50 original posts, its engagement rate beats 51% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 7.2K times each, and 1.37% of those impressions turn into an interaction. That is about 7.55% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 22:00 UTC, and Wednesday is the busiest day of the week. Of the 50 posts sampled, 86% carry an image or video and 46% link out. The account's strongest tracked post pulled 167 interactions, about 1.7x its own typical post.

What is dFusion AI Protocol's engagement rate on X?
dFusion AI Protocol (@dFusionAI) has an engagement rate of 0.1%, based on the median interactions across 50 original posts from the last 30 days against 95,032 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.1%, dFusion AI Protocol sits above the 25th percentile of the 213,004 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 @dFusionAI have real engagement?
Its engagement rate beats 51% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @dFusionAI post?
Most posts go out around 22:00 UTC, and Wednesday is its busiest day, at roughly 1.87 posts per day across the measured window.

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