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Treasure engagement report

@Treasure_DAO - 282K followers on X

Measured over 3 original posts from a 30-day window, last computed on September 7, 2026.

Engagement

Per follower
0.075%
of 282K followers
Per impression
1.68%
13K views on a typical post
Reach
4.46%
of its followers see a post
Typical post
211
interactions (median)
Saved
0.048%
6 bookmarks on a typical post
Posting rate
0.27/day
active 13% of days
Peak time
17:00 UTC
Monday

Early reading. We have captured 3 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 211 interactions against 282K followers, an engagement rate of 0.075%. Posts are seen about 13K times each, and 1.68% of those impressions turn into an interaction. That is about 4.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 757 interactions, about 3.6x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on September 7, 2026.

Where this sits in the catalog

At 0.075%, Treasure sits above the 25th percentile of the 68,716 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99116.3%
Engagement rate as a share of followers, across the 68,716 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 55,382 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 percentile0.5%
90th percentile2.09%
99th percentile116.3%

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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 link67% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 67% 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 155 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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

  • Mar 30, 20263.6x their median

    Meet Beppe: The Autonomous Agent on a Mission to End World Hunger šŸ” $BEPPE earns money. Buys gift cards. Calls retailers. Purchases food. Donates it to food banks — no humans required. In partnership with @bidali, built on @basešŸ‘‡ https://t.co/qms3owJ8Gp

    4606714288177K viewsView on X
  • Aug 11, 2026

    šŸ‘€ https://t.co/BHYYo7ovgF

    16819341213K viewsView on X
  • Aug 24, 2026

    https://t.co/VTuszv6eQX is LIVE NOW on Robinhood Chain Create options for your NFTs and earn yield on the premium šŸ”œ L1, Polygon, Hyperliquid https://t.co/9rQ6ExeczU

    14819232123K viewsView on X
  • Apr 1, 2026

    BEPPE the autonomous agent purchasing canned tuna for the food banks live on-stream 🐟 https://t.co/o8o0YH4YLr

    992084742K viewsView on X
  • Apr 10, 2026

    Beppe has donated to over 10 food banks across the Feeding America network — earning fees and sending them to families who need it. Just an autonomous AI agent doing something that actually matters in the real world šŸ² https://t.co/RDVj2rH2rw

    992161622K viewsView on X
  • Mar 29, 2026

    Beppe doesn't believe in a better world. It builds one. Better and brighter days ahead for the hungry šŸ” https://t.co/BGjCRCHcTP

    851571444K viewsView on X
  • May 15, 2026

    The future of AI entertainment is SMOL https://t.co/D9OZbhNREr

    118282359.0K viewsView on X
  • May 8, 2026

    Hop in, we're headed to Smolville šŸš—šŸµ https://t.co/St6Eb6gcrK

    110232258.7K viewsView on X
  • Apr 27, 2026

    SMOLVILLE šŸ“ŗ https://t.co/WfNKzdo34t

    9428221111K viewsView on X
  • May 29, 2026

    Agent runner DePIN networks keep autonomous agents alive without a central operator The key use case of Treasure Network is open virtual worlds managed and updated by autonomous agents. Agents can create new NPCs and world features. $MAGIC keeps these worlds alive forever https://t.co/sPUu56lVYc

    941337811K 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 211 interactions against 282K followers, an engagement rate of 0.075%. Posts are seen about 13K times each, and 1.68% of those impressions turn into an interaction. That is about 4.46% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 757 interactions, about 3.6x its own typical post. Only 3 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 Treasure's engagement rate on X?
Treasure (@Treasure_DAO) has an engagement rate of 0.075%, based on the median interactions across 3 original posts from the last 30 days against 281,515 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.075%, Treasure sits above the 25th percentile of the 68,716 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 @Treasure_DAO have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Treasure_DAO post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.27 posts per day across the measured window.

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