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LeveragedInfo engagement report

@LeveragedInfo - 120K followers on X

Measured over 51 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Bottom quarter for its size
Per follower
0.007%
of 120K followers
Per impression
1.82%
439 views on a typical post
Reach
0.36%
of its followers see a post
Typical post
8
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2/day
active 60% of days
Peak time
10:00 UTC
Thursday

A typical post picks up 8 interactions against 120K followers, an engagement rate of 0.007%. Measured over 51 original posts, its engagement rate beats 16% of 20,444 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 439 times each, and 1.82% of those impressions turn into an interaction. That is about 0.366% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 51 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 49 interactions, about 6.1x its own typical post.

Measured over 51 original posts from a 30-day window, last computed on October 5, 2026.

Compared with accounts its own size

LeveragedInfo's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 58% 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%, LeveragedInfo sits above the 10th percentile of the 205,582 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 205,582 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 percentile0.679%
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 10:00 UTC, and Thursday 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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-+15%+14% to +16%32K
  • 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 292 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

  • Sep 23, 20266.1x their median

    🚀 ALTCOINS COULD HAVE 14X UPSIDE THIS CYCLE @cryptomanran says prior cycles saw altcoins outperform Bitcoin by 5x to 7x, which is why he doesn’t view a 14x outcome as absurd. “this number doesn't seem so absurd” https://t.co/0oqXD70Shf

    421607.0K viewsView on X
  • Sep 24, 20265.9x their median

    All eyes are on bond yields But the real story is your bank account Same balance But soon your idle cash becomes T-bill plumbing Digital cash to you More debt capacity for them https://t.co/HG9dKySkwf

    3013047.3K viewsView on X
  • Sep 21, 20263.3x their median

    🚀 FOMO TO HIT 150M USERS IN 18 MONTHS FOMO cofounder @seyong says the goal is to become the default social graph for finance, with at least half of those users making their first-ever financial transaction on the platform. “in 18 months I'd love to be at 150 million users” Ft. @cryptomanran

    203304.9K viewsView on X
  • Sep 18, 20263.3x their median

    🤯 WE ARE SO COOKED! AI just crossed a major intelligence threshold @EMostaque says a swarm of 10,000 AI agents solving Navier–Stokes changes the argument about what these systems can actually do. “do you really think there's anything you can do cognitively that this AI can't do” Ft. @alessandrorisk

    204114.3K viewsView on X
  • Sep 24, 20262.6x their median

    🐂 THIS BULL RUN FINALLY FAVORS ALTCOINS @cryptomanran says ETH breaking a nine-year downtrend against Bitcoin may signal that tokenization is changing the structure of this cycle. “for the first time in nine years, we've actually broken out here” https://t.co/MIJHWX6Q9n

    152402.6K viewsView on X
  • Sep 18, 20262.6x their median

    ALPHA 🔥: ON-CHAIN OPTIONS COULD BE CRYPTO’S NEXT BIG TRADE @cryptomanran says traditional finance relies heavily on options, and he expects crypto to need the same infrastructure on-chain. “if we're gonna migrate tradfi to our space, they're going to need options and they're going to need on chain options”

    1712137K viewsView on X
  • Sep 18, 20262.5x their median

    🔒 zcash:native IS BITCOIN WITH PRIVACY @cryptomanran said Zcash combines a Bitcoin-style proof-of-work design with decentralization, immutability, and private transactions. "The same ideology but only this time with privacy” https://t.co/kemuZshmzM

    142221.0K viewsView on X
  • Sep 16, 20262.4x their median

    bitcoin:native COULD LOSE SUBSTANTIAL MARKET SHARE @themarketsniper says a major surge in smaller tokens could dramatically reduce Bitcoin’s relative share of the crypto market. “it's a big call, bullish call for alts... either it will be disappeared entirely or its overall scale to other tokens will be substantially reduced” Ft. @RiskTakers000 @alessandrorisk

    170118.8K viewsView on X
  • Oct 4, 20262.3x their median

    HOT TAKE 🔥: FIAT KEEPS YOU WORKING TO REPLACE WHAT INFLATION TAKES. @MarkYusko recounts Jimmy Song’s argument that fiat earners remain dependent on a system that erodes their savings: “You're a slave to the fiat overlords who will then steal from you.” “Over a 30 year period, you lose half your purchasing power.” “If you save in Bitcoin, you unleash the most powerful force in humanity, which is human creativity.” Ft. @alessandrorisk

    134102.2K viewsView on X
  • Sep 23, 20262.1x their median

    🚀 BITCOIN AS COLLATERAL COULD REPRICE $MSTR @dmweisberger says allowing Bitcoin deeper into the financial system as collateral could make MicroStrategy and similar companies much more valuable. “it's what will make Microstrategy and other companies be much more valuable” Ft. @BitcoinMagazine

    131126.7K 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 8 interactions against 120K followers, an engagement rate of 0.007%. Measured over 51 original posts, its engagement rate beats 16% of 20,444 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 439 times each, and 1.82% of those impressions turn into an interaction. That is about 0.366% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 51 posts sampled, 100% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 49 interactions, about 6.1x its own typical post.

What is LeveragedInfo's engagement rate on X?
LeveragedInfo (@LeveragedInfo) has an engagement rate of 0.007%, based on the median interactions across 51 original posts from the last 30 days against 119,831 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, LeveragedInfo sits above the 10th percentile of the 205,582 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 @LeveragedInfo have real engagement?
Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 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 @LeveragedInfo post?
Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 2 posts per day across the measured window.

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