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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.127% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.1% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 55% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% 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
- 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
- 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.
- 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
- 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
- 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
- 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:
- 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
- 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
- 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
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.