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Tony engagement report

@ExpatBuilder - 55K followers on X

Measured over 54 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Bottom 10% for its size
Per follower
0.004%
of 55K followers
Per impression
0.262%
764 views on a typical post
Reach
1.40%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.07/day
active 33% of days
Peak time
21:00 UTC
Monday

A typical post picks up 2 interactions against 55K followers, an engagement rate of 0.004%. Measured over 54 original posts, its engagement rate beats 8% of 20,445 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 764 times each, and 0.262% of those impressions turn into an interaction. That is about 1.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 54 posts sampled, 17% carry an image or video. The account's strongest tracked post pulled 7.4K interactions, about 3725x its own typical post.

Measured over 54 original posts from a 30-day window, last computed on October 11, 2026.

Compared with accounts its own size

Tony's engagement rate beats 8% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 11% 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 0.004%, Tony 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 21:00 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: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 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 video17% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 17% 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.
  • 4% 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 124 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

  • Oct 10, 20263725x their median

    they didn’t hack ledger. they didn’t exploit the code. they BOUGHT the company selling you the device. $86 million gone a company called CryptoBilis was an authorized ledger reseller in southeast asia. trusted. legit. sold ledgers for years a random chinese company quietly bought CryptoBilis from its malaysian owner made the original owner sign a confidentiality agreement. he couldn’t tell anyone the company was sold same brand name. same website. same “authorized reseller” badge. but different people behind it now the new owners started opening every ledger device before shipping soldered a tiny spy chip onto the board inside. repackaged it. sealed the box. shipped it the device looked normal. felt normal. worked normal but the spy chip was silently capturing your private keys the moment you set it up your seed phrase was sent to the attacker before you even finished writing it down hundreds of wallets across ethereum tron and bitcoin. all drained the guy who lost $5.3 million said “i did everything right. no leverage. no memecoins. i stored my funds on a hardware wallet like we’re all told to” he was right. he did everything right except his device had a parasite inside it that he couldn’t see ledger has now told CryptoBilis to stop all sales. told recent buyers NOT to set up their devices mark karpelès posted photos of the implant. normal board on top. spy chip below the most dangerous attack in crypto this year wasn’t a line of code it was a business acquisition

    5.9K951424166526K viewsView on X
  • Feb 18, 20252173x their median

    “Yeah fellas tbh we are trying to max extract on this one.” - Hayden Davis https://t.co/e3jL1ZUpvg

    3.3K375459198721K viewsView on X
  • Oct 10, 20261050x their median

    got scammed by a friend known him over 14 years money changes people trust no one

    1.7K862813364K viewsView on X
  • Oct 9, 2026809x their median

    If you trade on @pumpfun your exit liquidity for bundled coins made by scammer devs and the @pumpfun payroll cabal @pumpfun perpetuates the scam by paying KOLs who push their platform and rug coins at 15k MCAP @pumpfun paid these KOLs $1M for calling out bundled memecoins under $15k mcap the majority rugged sub 50k this is a whole other level of farming new retail users to #crypto I call it the rug fly wheel, pay KOLs, farm retail the perfect crime flywheel

    1.1K2412404760K viewsView on X
  • Oct 7, 2026150x their median

    When you don’t buy the memecoin some random dude sends you in TG DMs because the last 2 were rugs. But this one does 100x. https://t.co/d7c0j4X1L1

    2293038214K viewsView on X
  • Oct 6, 2026104x their median

    I don't think there's been a time in memecoin history where it's been this hard to win on new pairs, it genuinely seems like the odds are worse off than in an actual casino

    180817212K viewsView on X
  • Oct 10, 20265.0x their median

    I used to think taking bigger risks was how you got ahead. Now I think surviving long enough to take the next shot is more important.

    8110949 viewsView on X
  • Oct 6, 20265.0x their median

    L2s are rekt now shut down all the Bitcoin protocols except runes and brc20

    50501.1K viewsView on X
  • Oct 5, 20264.0x their median

    You need to make and lose 6-7 figures to understand where I'm coming from

    3230820 viewsView on X
  • Oct 3, 20264.0x their median

    I’m treating trading like a skill, not a slot machine.

    60201.1K 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 2 interactions against 55K followers, an engagement rate of 0.004%. Measured over 54 original posts, its engagement rate beats 8% of 20,445 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 764 times each, and 0.262% of those impressions turn into an interaction. That is about 1.40% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 21:00 UTC, and Monday is the busiest day of the week. Of the 54 posts sampled, 17% carry an image or video. The account's strongest tracked post pulled 7.4K interactions, about 3725x its own typical post.

What is Tony's engagement rate on X?
Tony (@ExpatBuilder) has an engagement rate of 0.004%, based on the median interactions across 54 original posts from the last 30 days against 54,510 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Tony 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 @ExpatBuilder have real engagement?
Its engagement rate beats 8% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the bottom 10% 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 @ExpatBuilder post?
Most posts go out around 21:00 UTC, and Monday is its busiest day, at roughly 2.07 posts per day across the measured window.

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