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BULL engagement report

@bull_bnb - 463K followers on X

Measured over 22 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Top quarter for its size
Per follower
0.133%
of 463K followers
Per impression
1.14%
54K views on a typical post
Reach
11.7%
of its followers see a post
Typical post
615
interactions (median)
Saved
0.047%
26 bookmarks on a typical post
Posting rate
1.77/day
active 53% of days
Peak time
03:00 UTC
Tuesday

A typical post picks up 615 interactions against 463K followers, an engagement rate of 0.133%. Measured over 22 original posts, its engagement rate beats 75% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 54K times each, and 1.14% of those impressions turn into an interaction. That is about 11.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 22 posts sampled, 18% carry an image or video. The account's strongest tracked post pulled 258K interactions, about 1196x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on October 25, 2026. Recurring tag: #宝拉.

Compared with accounts its own size

BULL's engagement rate beats 75% of the tracked X accounts closest to it in follower count (20,444 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 51% 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 0.133%, BULL sits above the 25th percentile of the 205,475 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 03:00 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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 video18% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 18% 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 760 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

  • Feb 20, 20211196x their median

    Heard a rumor some crypto coin was pegging the dollar 🤣🤣

    225K16K14K2.9KView on X
  • Oct 17, 202552x their median

    Just quickly reviewed more than 20 prediction markets startup projects on #BNB Chain. There might be an opportunity for someone to build a prediction market specific oracle. Not sure how big the TAM is, but might worth a try.

    7.0K8412.9K4842.2M viewsView on X
  • Sep 12, 202515x their median

    $928 for 1 BNB https://t.co/JOq6XyMTdm

    2.5K275374681.7M viewsView on X
  • Aug 23, 20204.3x their median

    This is my moonshot bag. $bnb you are my baby if you were a girl I wouldve marry you https://t.co/8leBmJhnIt

    1.4K1.3K469View on X
  • Oct 13, 20262.1x their median

    I genuinely don't understand why everyone insists on using a Ledger or hardware wallets? Why not just buy an old iPhone or Samsung, install OKX Wallet or trust andtransfer your funds, switch the phone off, and lock it in a fucking vault? Whenever you want to move funds, take it out, turn it on, make your transaction, and put it back. Sure, Ledger offers better private-key isolation, especially when signing transactions. I get that. But if your phone is switched off, disconnected from everything, and sitting in a vault 99.9% of the time, what exactly are you protecting yourself from? Genuine question. Am I missing something?

    1.0K1101688325K viewsView on X
  • Aug 24, 20262.1x their median

    Which Cat Will Reach A 1B+ MC First?! $BASECAT $BNBCAT $CASHCAT https://t.co/T58yFDVbh6

    712894362577K viewsView on X
  • Oct 13, 20262.0x their median

    The biggest mistake I made this cycle was believing we would actually get an altseason. 99.9% of memes are rugs. One coin runs, and suddenly everyone acts like we just witnessed a wife changing opportunity. Meanwhile, the biggest players in the industry are busy calling each other names like schoolchildren. At this point, I genuinely don't know what the fuck we're even representing anymore. Stocks are behaving like altcoins used to. Meanwhile, actual altcoins are behaving like they got polio We've gone from decentralizing finance to decentralizing gambling addiction. Everyone's either recovering losses, pretending to be rich, selling something to someone, or waiting for the next idiot to buy their bags. We spent years begging the world to take crypto seriously. Now that the world is watching, I'm not even sure we take ourselves seriously.

    952119146783K viewsView on X
  • Sep 2, 20262.0x their median

    A lot changed at Cancore this summer. Over the past few months, we’ve expanded far beyond the core settlement layer: • Launched the self-custody Cancore Wallet • Added new networks and trading routes • Introduced strategies and automated trading • Shipped Telegram notifications and live Dune analytics • Localized the platform for users around the world And that’s only what’s already live. More of what we’ve been building behind the scenes is coming next. A strong summer. An even bigger next chapter. → https://t.co/2W7TSEtrKI

    1.0K10246634K viewsView on X
  • Oct 14, 20261.7x their median

    The trenches are so cooked that even if a meme runs to $100K MC mfers will find a reason to PvP it. Wrong spelling. Wrong ticker. Ticker should've been in Chinese. No, Korean. Meanwhile, some clown with a bunch of copy traders will ape $7K–$20K, dump on everyone following him, pocket a few bucks and call himself a trading genius. This is what the trenches have become. And then we wonder why Web2 normies aren't coming. Brother, you're rugging projects in 10 minutes. A normie needs longer than that just to figure out how to bridge funds. By the time he learns where the buy button is, you've already deployed, pumped, dumped and moved on to the next ticker. We've turned an industry that was supposed to onboard millions into a game of who can exit on whom the fastest and Eventually you'll run out of fresh buyers and start PvPing yourself. If you want new money to enter the trenches, give it a reason to stay. Otherwise, congratulations. You've built a casino where the players, dealers and exit liquidity are all the same 50 people.

    837132861260K viewsView on X
  • Oct 17, 2026

    After every major fkery in crypto, we think the market is dead. And somehow, out of nowhere, something completely unexpected comes along and prints millions. 2018: ICOs collapsed. Everything went to zero. 2019: Dead market. Gambling on alts, perps, and bullshit mainnet announcements. 2020: DeFi Summer. Yield farming, insane pumps, overnight millionaires, and rugs. 2021: L1/L2 mania. Solana, BNB Chain, NFTs 2022: LUNA, FTX, total destruction. Crypto declared dead again. 2023: Memes started taking over. 2024/2025: Full-blown memecoin madness. New chains, new runners, new millionaires. 2026: AI agents on Base, Robinhood memes, and now silence again. See the pattern? Every time we think it's over, something nobody expected comes along and changes everything. I'm not worried about whether we'll make money again. We'll make FK U money again. The only question is whether you'll still be around when the next wave hits. You don't need to predict what's next. You need to survive till then. The next 100x probably doesn't even have a narrative yet. BULLmorning.

    6627181396K 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.

Recurring topics

#宝拉

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 615 interactions against 463K followers, an engagement rate of 0.133%. Measured over 22 original posts, its engagement rate beats 75% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 54K times each, and 1.14% of those impressions turn into an interaction. That is about 11.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 03:00 UTC, and Tuesday is the busiest day of the week. Of the 22 posts sampled, 18% carry an image or video. The account's strongest tracked post pulled 258K interactions, about 1196x its own typical post.

What is BULL's engagement rate on X?
BULL (@bull_bnb) has an engagement rate of 0.133%, based on the median interactions across 22 original posts from the last 30 days against 463,100 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.133%, BULL sits above the 25th percentile of the 205,475 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 @bull_bnb have real engagement?
Its engagement rate beats 75% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @bull_bnb post?
Most posts go out around 03:00 UTC, and Tuesday is its busiest day, at roughly 1.77 posts per day across the measured window.

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