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Delysium - $AGI 🟨 engagement report

@The_Delysium - 321K followers on X

Measured over 1 original post from a 30-day window, last computed on October 12, 2026.

Engagement

Per follower
0.015%
of 321K followers
Per impression
0.729%
6.6K views on a typical post
Reach
2.05%
of its followers see a post
Typical post
48
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
0.1/day
active 3% of days
Peak time
18:00 UTC
Wednesday

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 48 interactions against 321K followers, an engagement rate of 0.015%. Posts are seen about 6.6K times each, and 0.729% of those impressions turn into an interaction. That is about 2.05% 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 3% of days saw any activity at all. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 290 interactions, about 6.0x 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 October 12, 2026.

Where this sits in the catalog

At 0.015%, Delysium - $AGI 🟨 sits above the 10th percentile of the 205,261 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 205,261 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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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 264 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

  • Jul 15, 20256.0x their median

    Lucy Beta V2 touches down. Sketch your agentic experience in crypto. Check it out now: https://t.co/ojbI6mK9rb @LucyOSAI https://t.co/wZf6R81lDx

    1914553164K viewsView on X
  • Mar 24, 20261.7x their median

    Infrastructure is the bedrock of any revolution. At Delysium, we are perfecting the stack to power the burgeoning AI Agent Economy. Our 2026 roadmap charts the course for a self-sustaining ecosystem where intelligence is liquid, scalable, and autonomous. By integrating quant-based frameworks with a robust Skills Marketplace, Delysium is building the fundamental rails for the future of digital value exchange. The journey is just beginning. We’ll be releasing the full-spectrum documentation to the community shortly. Witness the evolution. The future belongs to those who build it.

    56101503.8K viewsView on X
  • Aug 13, 20261.5x their median

    Intelligence is nothing without clarity. We’ve upgraded @LucyOSAI "Brain" to not only find the hottest opportunities on @base but to visualize the "Why." With enhanced data rendering, complex tokenomics and dev activities are now crystal clear. Now with Save-to-Local support. You can now save Lucy’s insights directly to your device. Build your own intelligence library: https://t.co/EF8F5ZE6L5

    47423011K viewsView on X
  • May 19, 2026

    Unlock Deep Insights into @Kalshi Prediction Markets with @LucyOSAI. Leveraging high-fidelity, real-time on-chain data from @APRO_Oracle, we utilize a five-dimensional quantitative model to conduct a comprehensive market analysis, culminating in a Risk Score. This systematic approach delivers probabilistic risk pricing, allowing investors to execute forward-looking strategic positioning with confidence. Optimize your risk-adjusted returns and capture market alpha: https://t.co/h6JnzmPJ2N

    3881805.4K viewsView on X
  • Aug 4, 2026

    Delysium’s August Event Calendar What’s scheduled: 🔹 Early August: Lucy Product Development Update 🔹 August 11: Lucy Skill Ecosystem Spotlight 🔹 Mid-August: Lucy Technical Progress Update 🔹 August 20: Lucy Use Case Showcase 🔹 Late August: Lucy Experience Optimization Update 🔹 August 29: Community AMA

    436909.3K viewsView on X
  • Sep 3, 2026

    Delysium’s September Event Calendar What’s scheduled: 🔹 Early September: Lucy Product Progress Update 🔹September 8: Lucy Skill Update 🔹Mid-September: Technical & Infrastructure Update 🔹September 17: Lucy Use Case Highlight 🔹September 23: Lucy Capability Spotlight 🔹Late September: Product Experience Update 🔹September 30: Community AMA

    3061806.9K viewsView on X
  • Jun 1, 2026

    Delysium’s June Event Calendar What’s scheduled: 🔹June 3: LLM integration update for Lucy 🔹Early June: Lucy partnership announcement 🔹June 12: Lucy usecase release 🔹June 16: Lucy partnership announcement 🔹Late June: Lucy product update and experience optimization 🔹June 30: Community AMA

    2861614.2K viewsView on X
  • Apr 2, 2026

    Delysium Unveils 2026 Roadmap: Leading the New Era of the Agent Economy The convergence of AI and Crypto is evolving from "standalone tools" to "networked intelligence." Our goal is to build an intelligent framework that understands, strategizes, and connects, providing the infrastructure for agents to be economically active and "alive." https://t.co/wcckYrzplt

    405514.1K viewsView on X
  • Jul 2, 2026

    Delysium’s July Event Calendar What’s scheduled: 🔹July 8: Lucy Partnership Announcement #1 🔹Early July: Lucy Technical Integration Update 🔹July 15: Lucy Partnership Announcement #2 🔹Late July: Lucy Experience Optimization 🔹July 27: Lucy Skill Tool-Calling Feature Update 🔹July 31: Community AMA

    3441207.5K viewsView on X
  • Sep 30, 2026

    As AI Agents move from answering questions to taking action, security and user control become fundamental. Our September AMA covers permissions, transaction safety, progressive autonomy, and Lucy’s path from intent to execution. Full AMA: https://t.co/4DBX0DQE2V

    3051306.6K 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 48 interactions against 321K followers, an engagement rate of 0.015%. Posts are seen about 6.6K times each, and 0.729% of those impressions turn into an interaction. That is about 2.05% 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 3% of days saw any activity at all. Most posts go out around 18:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 290 interactions, about 6.0x 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 Delysium - $AGI 🟨's engagement rate on X?
Delysium - $AGI 🟨 (@The_Delysium) has an engagement rate of 0.015%, based on the median interactions across 1 original posts from the last 30 days against 321,095 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, Delysium - $AGI 🟨 sits above the 10th percentile of the 205,261 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 @The_Delysium have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @The_Delysium post?
Most posts go out around 18:00 UTC, and Wednesday is its busiest day, at roughly 0.1 posts per day across the measured window.

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