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De¹ engagement report

@De1_ai - 384K followers on X

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

Engagement

Middle of its size range
Per follower
0.007%
of 384K followers
Per impression
0.396%
6.9K views on a typical post
Reach
1.79%
of its followers see a post
Typical post
28
interactions (median)
Saved
0.014%
1 bookmarks on a typical post
Posting rate
1.17/day
active 53% of days
Peak time
13:00 UTC
Tuesday

A typical post picks up 28 interactions against 384K followers, an engagement rate of 0.007%. Measured over 12 original posts, its engagement rate beats 29% 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 6.9K times each, and 0.396% of those impressions turn into an interaction. That is about 1.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 75% carry an image or video, 50% are part of a thread and 83% link out. The account's strongest tracked post pulled 1.7K interactions, about 62x its own typical post.

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

Compared with accounts its own size

De¹'s engagement rate beats 29% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 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 26% 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 0.007%, De¹ sits above the 10th percentile of the 212,656 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 13:00 UTC, and Tuesday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video75% of posts+111%+108% to +115%34K
Outbound link83% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% 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.
  • 83% 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 313 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

  • Aug 28, 202662x their median

    BREAKING: De¹ has received investment from @YZiLabs. This is the start of establishing the agentic on-chain future in @BNBCHAIN ecosystem. Together with @YZiLabs, we are defining how intelligence should meet live markets. From ZERO to DE ONE. https://t.co/TutcjrVTtA

    2856374578256K viewsView on X
  • Aug 17, 20265.8x their median

    🌊 @De1_ai is now integrated on RHEA X Chain DEX! Smarter swaps, powered by aggregation across 1,000+ liquidity sources. Deeper liquidity. Better prices quote. One seamless click. Swap now https://t.co/vl5WJjsH1c https://t.co/Qb6jxRH8GZ

    120365214K viewsView on X
  • Sep 15, 20265.1x their median

    De¹ is coming to @arc, and the Financial World Model will get its new physics. $USDC gas -> native-money rails. Sub-second finality -> learning at market speed. Interact on Arc, and you own a piece of the intelligence you teach. Interact. Contribute. Own. https://t.co/pzwYXukCvH

    1091222012K viewsView on X
  • Jul 16, 20264.3x their median

    QuickSwap V4 pools are now live on Polygon PoS 🟣 @KyberNetwork and @OpenOceanGlobal are supporting from day 1 of this integration. Excitement building for LPs on the purple chain. https://t.co/hiH80VvLfz

    68302128.5K viewsView on X
  • Sep 28, 20264.3x their median

    Landing in Seoul for KBW 2026 🌅 Trading Floor on the Han River · September 30 15:00 to 20:00 KST Hosted by @SmartXTerminal with @StableStock @KaitoAI @cityprotocolHQ @De1_ai Register Now https://t.co/au4UahHJ98

    6910251513K viewsView on X
  • Aug 3, 20264.3x their median

    https://t.co/9zwkEiWAp1

    69834836K viewsView on X
  • Jul 9, 20263.8x their median

    Since launch, Robinhood Chain has grown to over $80M in TVL, over $200M in stablecoins, and $800M in cumulative DEX volume. https://t.co/6ctvI2WuZy

    87710316K viewsView on X
  • Sep 3, 20262.1x their median

    De¹ Lab welcomes @verona_dev as a new builder. Verona is the intelligence layer for AI, making user-verified data portable, private and programmable so agents can act on provable information without exposing underlying data. As AI agents take on more financial decisions, this gives them verified facts to act on, not just plausible outputs. https://t.co/pzwYXulalf

    4076524K viewsView on X
  • Jul 24, 20262.0x their median

    Lista liquidity is now live on @OpenOceanGlobal Our pools on @BNBChain are now accessible through OpenOcean, bringing better rates to anyone swapping: 🔹 U/USDT 🔹USDT/USDC 🔹 BNB/slisBNB 🔹 USDT/lisUSD And more! Deeper liquidity, better execution. https://t.co/HwFH4TdFiB

    36610514K viewsView on X
  • Aug 31, 20261.7x their median

    We are thrilled to welcome @flock_io to join De¹ Lab. FLock’s decentralized, privacy-preserving AI infra enables secure model training for financial intelligence while preserving data sovereignty. This strengthens De¹ Lab with decentralized AI training grounded in data sovereignty.

    3364412K 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 28 interactions against 384K followers, an engagement rate of 0.007%. Measured over 12 original posts, its engagement rate beats 29% 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 6.9K times each, and 0.396% of those impressions turn into an interaction. That is about 1.81% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 75% carry an image or video, 50% are part of a thread and 83% link out. The account's strongest tracked post pulled 1.7K interactions, about 62x its own typical post.

What is De¹'s engagement rate on X?
De¹ (@De1_ai) has an engagement rate of 0.007%, based on the median interactions across 12 original posts from the last 30 days against 383,822 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, De¹ sits above the 10th percentile of the 212,656 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 @De1_ai have real engagement?
Its engagement rate beats 29% 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 @De1_ai post?
Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 1.17 posts per day across the measured window.

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