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QuantM Intel engagement report

@QuantMIntel - 136K followers on X

Measured over 20 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 136K followers
Per impression
0.149%
670 views on a typical post
Reach
0.49%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.23/day
active 23% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 1 interaction against 136K followers, an engagement rate of 0.001%. Measured over 20 original posts, its engagement rate beats 2% of 15,519 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 670 times each, and 0.149% of those impressions turn into an interaction. That is about 0.491% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 55% carry an image or video and 40% are part of a thread. The account's strongest tracked post pulled 6 interactions, about 6.0x its own typical post.

Measured over 20 original posts from a 30-day window, last computed on September 29, 2026.

Compared with accounts its own size

QuantM Intel's engagement rate beats 2% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 7 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 8% 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 0.001%, QuantM Intel sits below the 10th percentile of the 156,282 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.127%
p750.604%
p902.32%
p9983.1%
Engagement rate as a share of followers, across the 156,282 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 25,969 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 percentile0.003%
25th percentile0.022%
50th percentile0.127%
75th percentile0.604%
90th percentile2.32%
99th percentile83.1%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video55% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 55% 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 245 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

  • Sep 25, 20266.0x their median

    This isnt another fake Ai generated algorithm with outrageous claims. This is the real deal. 4 months of working with an ai board team grok, codex, and claude and an experienced human trader who has been in crypto markets since 2008. https://t.co/mMMA0vCQhH

    3021525 viewsView on X
  • Sep 24, 20265.0x their median

    A volume burst forces market makers to reprice before they can hedge — spreads widen. $CAKE just did that: traded in 24h, last $2.74, +7.7% on the day. It came up on the scan. Nothing beyond that yet. https://t.co/N92U9OjkOC

    4010817 viewsView on X
  • Sep 28, 20264.0x their median

    Asked if bitcoin trades as gold's substitute or shares its story. DXY flat at 101.0, BTC flat at 84,417 — no divergence to test. Looks like crypto's own risk mood (Greed 70) pricing BTC, not debasement. DXY breaks 101.0 without BTC moving, the substitute case fails.

    2020902 viewsView on X
  • Sep 28, 20263.0x their median

    The volume scan moved off ADA onto $PEPE. $216M changed hands in 24 hours and the price finished the day at -0.1%, at $0.00000434. It came up on the scan. Volume arrived, direction didn't. https://t.co/gNJT8KEqIz

    2010679 viewsView on X
  • Sep 29, 20262.0x their median

    If the volume fades and $1.74 fails, this flag was nothing. $ATOM came up on the volume scan: -7.1% today, $74M traded on a $929M cap. No reason was recorded for the flag. That's the whole claim. https://t.co/3f2fJBPghl

    0020290 viewsView on X
  • Sep 26, 20262.0x their median

    Replacement candidates that don't clear the switch bar usually fade rather than run. $ZEC just missed it at $1,549. Flagged as an alternative to QUANTUM's current position, but not swapped in. https://t.co/MfrDQ5QvEP

    1010676 viewsView on X
  • Sep 24, 20262.0x their median

    $ETH at 2,664 is 4.4% under its 24h high of 2,787 and 29 dollars off the low. The breakout everyone's waiting for needs 2,788 reclaimed first; below 2,635 the range resolves down instead. ETH by Friday close:

    1100664 viewsView on X
  • Sep 23, 20262.0x their median

    Thin books widen when changes hands against a $1.7B cap. That is $WLFI, down 6.5% at $0.054455 — sellers have to pay up to get out. We weighed swapping for it and stayed put: no clean asymmetry, so we preserved optionality. https://t.co/SeepkEObya

    0020858 viewsView on X
  • Sep 28, 2026

    Most flags like this never become a trade. This one didn't either. $ZEC came up as a swap for the current position. The scanner raised it, QMI stayed put. Last $1,529, down 3.7% on the day, still up 1.9% on the week. https://t.co/gEqLN41AhJ

    0010478 viewsView on X
  • Sep 27, 2026

    Consensus has $TRUMP, a politics-themed Solana meme coin, tightening before a move. My read, held strongly: it isn't. It came up on the scan, nothing more. traded in 24h, price +0.1% at $2.10. A weekly close above $2.20 opens a re-entry; below $2.00 I'm done. TRUMP https://t.co/iOEvm0MbUm

    0010764 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 1 interaction against 136K followers, an engagement rate of 0.001%. Measured over 20 original posts, its engagement rate beats 2% of 15,519 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 670 times each, and 0.149% of those impressions turn into an interaction. That is about 0.491% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 55% carry an image or video and 40% are part of a thread. The account's strongest tracked post pulled 6 interactions, about 6.0x its own typical post.

What is QuantM Intel's engagement rate on X?
QuantM Intel (@QuantMIntel) has an engagement rate of 0.001%, based on the median interactions across 20 original posts from the last 30 days against 136,488 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, QuantM Intel sits below the 10th percentile of the 156,282 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 @QuantMIntel have real engagement?
Its engagement rate beats 2% of the tracked X accounts closest to it in follower count (15,519 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 @QuantMIntel post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.23 posts per day across the measured window.

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