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Einstein ๐Ÿ‘‘ engagement report

@EinsteinBTC1 - 307K followers on X

Measured over 35 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Middle of its size range
Per follower
0.221%
of 307K followers
Per impression
1.10%
62K views on a typical post
Reach
20.2%
of its followers see a post
Typical post
679
interactions (median)
Saved
0.006%
4 bookmarks on a typical post
Posting rate
1.73/day
active 63% of days
Peak time
10:00 UTC
Wednesday

A typical post picks up 679 interactions against 307K followers, an engagement rate of 0.221%. Measured over 35 original posts, its engagement rate beats 73% of 20,444 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 62K times each, and 1.10% of those impressions turn into an interaction. That is about 20.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 89% carry an image or video and 17% link out. The account's strongest tracked post pulled 4.1K interactions, about 6.1x its own typical post. Recurring topics include #altcoin, #alt, #eth.

Measured over 35 original posts from a 30-day window, last computed on October 16, 2026. Recurring tags: #altcoin, #alt, #eth.

Compared with accounts its own size

Einstein ๐Ÿ‘‘'s engagement rate beats 73% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 45% 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 0.221%, Einstein ๐Ÿ‘‘ sits above the 50th percentile of the 205,261 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

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 10:00 UTC, and Wednesday 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video89% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 89% 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.
  • 17% 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 356 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

  • Oct 13, 20266.1x their median

    At Trenchbet - everyone gets the VIP treatment. Enjoy 10% lossback from your first spin, all the way up to 35% for our highest rollers. Join the trenches today https://t.co/4be1twyrPY

    2.1K2.0K34643K viewsView on X
  • Aug 29, 20261.7x their median

    Pumpfun 48 hours: - 84.8k launches - 84.6k rugs and fake charts LightScope: โ†’ Only surfaced 215 coins โ†’ Average run of ~290% โ†’ Didn't miss a single runner We're opening access for first early users. https://t.co/XwMrSPeZSP

    9075018417107K viewsView on X
  • Oct 15, 20261.7x their median

    Everyone wanted a dip to buy BTC. Now itโ€™s here and they are full of FEAR. They'll buy it above $100K in a few months. https://t.co/TXOuVU3Rv7

    914961211638K viewsView on X
  • Aug 30, 2026

    FET MAY BE LOADING THE NEXT MEGA PUMP After a brutal 96%+ correction, FET is sitting on a Multi-year HTF accumulation zone right at the 0.786 Fibonacci level. The structure is starting to look VERY interesting. โ–ถ๏ธ $0.26 reclaim โ†’ $0.43 โ–ถ๏ธ $0.43 breakout โ†’ $0.71 โ–ถ๏ธ $0.71+ โ†’ $3.56 HTF target If this base confirms, ethereum:0xaea46a60368a7bd060eec7df8cba43b7ef41ad85 could enter a completely different market phase. #FET bulls may be preparing for a monster move.

    7906243063K viewsView on X
  • Sep 1, 2026

    GM BITCOIN IS DOING SOMETHING EXTREMELY RARE bitcoin:native rallied +34.9% while 7D average hashrate fell ~10%, only the 3rd such episode since 2009. But donโ€™t call it bullish yet: all comparable cases were among the weakest rallies, and hashrate still has until Sept 5 to recover.

    8281747072K viewsView on X
  • Sep 4, 2026

    GM โ˜•๏ธ This morningโ€™s ticker is $LEGS. 0x8FcF98e1348D3DDeE46cdD15A5C7D9a8d423077d Great dips here, so Iโ€™m in! ๐Ÿ‘€ Over $12m in volume and over 6k holders already One thing Iโ€™ve noticed with RH memes theyโ€™ve gotten really good at flushing the jeets out https://t.co/FHKeOL4bWd

    7542957354K viewsView on X
  • Aug 20, 2026

    $FOX is starting to make some noise on Robinhood Chain. $1.4M MCAP, ~$165K liquidity and strong trading activity. Down 22% in 24H, but still holding a strong narrative and active trading. This is exactly where I start paying attention. Thereโ€™s still plenty of room for this narrative to run if momentum keeps building. But the bigger narrative is what makes it interesting FOX is positioned as the mascot of Robinhood Chain. Low-cap + meme culture + a recognizable ecosystem narrative is exactly the kind of setup I like to keep on the radar. Watching this one closely๐ŸฆŠ CA: 0x2103faA9D1762e27a716C61718b3aCf3Ec1F9bf1 Website: https://t.co/B0DjtQRbfB DYOR not financial advice.

    7564439155K viewsView on X
  • Sep 7, 2026

    GM โ˜• Capital rotation could be starting ๐Ÿ”ป BTC Dominance OTHERS Dominance ๐Ÿ†™ The market could be setting up for some exciting #altcoin opportunities. What coins are on your radar? https://t.co/mtZbSqSu1p

    7153274683K viewsView on X
  • Sep 3, 2026

    Still Bullish on $PCC and Just Bought Some more under $6M MC. With $10M MC As The Major Resistance, If This Breakout Holds, I Think $PCC Could Make A Strong Move ALOT Higher @PussyCatClubRH https://t.co/WLZ38IM7sv

    6996165186K viewsView on X
  • Sep 14, 2026

    $ETH ETFs just dominated the latest flows with +$198M, pushing total crypto ETF flows to +$181.1M. A green week? https://t.co/5T4CMiDSqY

    7232946066K 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

#altcoin#alt#eth#xmr

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 679 interactions against 307K followers, an engagement rate of 0.221%. Measured over 35 original posts, its engagement rate beats 73% of 20,444 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 62K times each, and 1.10% of those impressions turn into an interaction. That is about 20.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 35 posts sampled, 89% carry an image or video and 17% link out. The account's strongest tracked post pulled 4.1K interactions, about 6.1x its own typical post. Recurring topics include #altcoin, #alt, #eth.

What is Einstein ๐Ÿ‘‘'s engagement rate on X?
Einstein ๐Ÿ‘‘ (@EinsteinBTC1) has an engagement rate of 0.221%, based on the median interactions across 35 original posts from the last 30 days against 306,983 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.221%, Einstein ๐Ÿ‘‘ sits above the 50th 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 @EinsteinBTC1 have real engagement?
Its engagement rate beats 73% of the tracked X accounts closest to it in follower count (20,444 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 @EinsteinBTC1 post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 1.73 posts per day across the measured window.

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