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Pii™Ducks engagement report

@piitien1603i - 322K followers on X

Measured over 3 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Per follower
0.001%
of 322K followers
Per impression
0.044%
6.8K views on a typical post
Reach
2.09%
of its followers see a post
Typical post
3
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.2/day
active 10% of days
Peak time
00:00 UTC
Tuesday

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 3 interactions against 322K followers, an engagement rate of 0.001%. Posts are seen about 6.8K times each, and 0.044% of those impressions turn into an interaction. That is about 2.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 63K interactions, about 21113x 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 October 12, 2026.

Where this sits in the catalog

At 0.001%, Pii™Ducks sits below the 10th percentile of the 205,676 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%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,676 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 percentile0.679%
90th percentile2.56%
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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 100% 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.
  • 0% 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 259 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

  • Feb 25, 202621113x their median

    1/ Introducing Sentio Network: The Decentralized Data and Compute Layer We are thrilled to unveil the Sentio Network, evolving our production-grade observability platform into the world’s first decentralized, AI-native data infrastructure. Sentio is moving from a unified platform to an open, incentive-aligned network. Here is everything you need to know about the Sentio Litepaper:

    10.0K51K1.8K217461K viewsView on X
  • Feb 11, 202687x their median

    I stopped checking prices. Not because I gave up. Because I already decided.

    124013514.4K viewsView on X
  • Feb 20, 202664x their median

    GM https://t.co/QFfoAVifBW

    9629412.0K viewsView on X
  • Mar 3, 202648x their median

    Xeet hub looks amazing I want to connect with all my card holders if i haven’t yet @xeetdotai marketplace will be live tomorrow, are you READY? Btw imagine I missed minting legendary pack 😭 https://t.co/dRVmIVl3Bs

    9005413.3K viewsView on X
  • Mar 6, 202625x their median

    i'm tapped in @tapdotfun you're not fix that https://t.co/ZCqesc1mmA

    28246021K viewsView on X
  • Mar 5, 202618x their median

    gm. thought shipping would mean more tweets, turned out it means fewer. i cut my recap addiction and let the rails write the transcript. attention feels lighter when i don't narrate my own work ran a morning slot inside @Bappfun like this: tiny artifacts, 20m sprints, no DMs, just receipts. low‑gas UGC kept action metadata off public surfaces, testers clicked without leaking their life, and i didn't have to babysit a thread to prove anything. i expected the usual last‑minute entropy, got a boring, on‑time window instead. which is the point my takeaway: when your platform prices behavior in code, you stop optimizing for applause and start optimizing for schedule. i don't need a hero moment, i need budgets that survive the night and a trail anyone can verify. if this becomes the norm, do launch pads turn into calendars with consequences and kill the performative grind, or do we just invent a prettier way to LARP coordination?

    3002302.0K viewsView on X
  • Mar 4, 202618x their median

    OH: Influence becomes finance the moment proof turns atomic and portable The bottleneck isn’t content, it’s settlement. Screenshots can’t be collateral. Once attested converwions, retention lifts and cohort shifts clear with finality, you can price work, tranche risk and actually hedge it. @MindoAI is moving the stack there: stzndardize proofs across X/shorts/TG, make disputes routine with bounded SLAs, and treat reputation as composable state you can pledge, slash and insure That unlocks real markets: forwards on attention, term structures for campaign windows, reinsurance pools for delivery risk, and liquidity that finds creators with transparent drawdowns instead of loud reach. Brands stop buying impressions and start buying timeboxed outcomes with audited post‑trade analytics If influence gets a yield curve, who builds the desks that market‑make creator risk across seasons?

    2702421.2K viewsView on X
  • Mar 5, 202616x their median

    the best token distributions are boring: assets arrive, receipts verifiable, zero phishing @idOS_network did one thing right at tde: direct drops to 70k wallets on arbitrum, and csmpaign rewards like wallchain handled by their own claim ui not a universal portal. fewer attack surfaces, clearer accountability but we still need a stronger playbook: - publish conversion math per campaign, not vibes - commit merkle roots and vesting params onchain with a simple proof explorer - wallet‑level notifications for consent grants and revokes, same for disbursement receipts - gasless consent signatures by default so users don’t burn eth to say “yes” - agent‑ready scopes so automated agents can request minimal proofs without overreach cca phase 1 vesting vs phase 2 no vesting is fine if it aligns with milestones and usage, not just time. vest by progress, not hype identity rails win when ops are dull and auditable. drop the tokens, show the math, make the flows invisible. that’s how this scales beyond crypto natives into actual payments and payrolls

    2502112.6K viewsView on X
  • Mar 4, 202615x their median

    GM I cleared the tab graveyard, wiped old airdrop checkers, and parked my main to waych one thing tomorrow: the silent drop. No forms, no claim pages, just tokens straight to linked addresses. If you were eligible, your wallet will tell you; if not, the chart will The weirdest part is how calm it feels. Listings are set, Gate and Kraken on March 5 at 14:00 UTC, and there’s no circus. 1bn total, 8.8% for users, no drama baked into the mechanics. It’s like they want the signal to be usage, not noise I’m treating this as a live test of restraint. Can I avoid refreshing every five minutes and actually measure what matters after TGE? Depth on first prints, spread, and whether portable identity stories finally travel beyond CT. If the quiet path works, @idOS_network might become the project you remember for not wasting your time

    230230943 viewsView on X
  • Mar 3, 202615x their median

    GN, cancelling sleep to watch this 24h cyclw close because I want to see how the split actually lands on @3look_io What I like right now: the reward pool is shared, distribution hits every day, and performance decides the cut. It doesn’t flex follower count. Big accounts bring reach. Small accounts bring precision. Both get paid if they deliver attention that isn’t junk Did a simple test tonight: one straight post, one quick riff, both inside The Loop Season 1. AI scored them, bots filtered, lookz showed up without me touching a dashboard. It’s CultureFi pre-TGE that actually feels native to how we use X instead of turning timelines into chores No extra apps, no DMs, no proof screenshots. You post, the system watches, the pool clears, and you see exactly what moved. If you’re already terminally online, this is the least painful way to make your normal activity count for something Anyone else watching the clock right now ??

    260180979 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 3 interactions against 322K followers, an engagement rate of 0.001%. Posts are seen about 6.8K times each, and 0.044% of those impressions turn into an interaction. That is about 2.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 00:00 UTC, and Tuesday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 63K interactions, about 21113x 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 Pii™Ducks's engagement rate on X?
Pii™Ducks (@piitien1603i) has an engagement rate of 0.001%, based on the median interactions across 3 original posts from the last 30 days against 322,341 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Pii™Ducks sits below the 10th percentile of the 205,676 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 @piitien1603i have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @piitien1603i post?
Most posts go out around 00:00 UTC, and Tuesday is its busiest day, at roughly 0.2 posts per day across the measured window.

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