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Monad Devs engagement report

@monad_dev - 82K followers on X

Measured over 34 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Middle of its size range
Per follower
0.063%
of 82K followers
Per impression
1.77%
3.0K views on a typical post
Reach
3.56%
of its followers see a post
Typical post
53
interactions (median)
Saved
0.067%
2 bookmarks on a typical post
Posting rate
2.17/day
active 73% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 53 interactions against 82K followers, an engagement rate of 0.063%. Measured over 34 original posts, its engagement rate beats 43% of 21,185 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 3.0K times each, and 1.77% of those impressions turn into an interaction. That is about 3.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 34 posts sampled, 68% carry an image or video and 65% link out. The account's strongest tracked post pulled 1.9K interactions, about 37x its own typical post.

Measured over 34 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Monad Devs's engagement rate beats 43% of the tracked X accounts closest to it in follower count (21,185 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 57% 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 0.063%, Monad Devs sits above the 25th percentile of the 213,098 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,098 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,393 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 percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 15:00 UTC, and Tuesday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video68% of posts+111%+108% to +115%34K
Outbound link65% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 68% 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.
  • 65% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 239 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 1, 202637x their median

    Introducing the Metropolis global hackathon Six weeks to build the next generation of startups on Monad. 4 tracks. Over $250K in prizes for builders. Submissions end October 13th. https://t.co/TOL6M5njId https://t.co/3EaI2sPhkn

    1.3K233217175420K viewsView on X
  • Jul 27, 20264.6x their median

    Introducing MOST, the Monad Open Source Track. Keep shipping open source projects on Monad publicly and you can earn AI credits as you continue building. To apply: https://t.co/K5QyEqXy6W Join the livestream tomorrow at 3PM UTC on X to ask any questions. More info in the second tweet.

    18122291333K viewsView on X
  • Jul 24, 20263.6x their median

    Cleanverse Build: Trusted Assets Hackathon is coming Aug 8-9, supported by Monad Foundation. Build projects across two tracks: • Real-world asset tokenization • DeFi applications using identity tools 🏆 16,000 aUSDC in prizes ⏰ Register by Aug 7, 23:59 UTC https://t.co/PoImanxBAM

    1571318510K viewsView on X
  • Jul 23, 20263.5x their median

    Announcing: India Student Founder Fellowship 🇮🇳 For IIT and BITS students in India who already build products Selected participants get paid to build a startup - ₹65,000/mo for 3 months - Mentorship and an opportunity to raise from @YourCampusFund & @gradCapital Apply here: https://t.co/QQYf8G8rGW

    1029601522K viewsView on X
  • Sep 1, 20262.8x their median

    Notifications on https://t.co/kegIu7btD0

    11952034.3K viewsView on X
  • Sep 17, 20261.9x their median

    Perpl has two bounties live at Monad’s Metropolis hackathon: $5,000 for Best Use of Perpl’s API. $3,000 for Best Analytics / Risk Tool. Submissions close October 13th. https://t.co/7T9N9Gby7O https://t.co/msB6rx2grK

    8041448.0K viewsView on X
  • Sep 29, 20261.8x their median

    Metropolis is coming to London 🇬🇧 Join us on October 2nd to build the next generation of startups on Monad, network with VCs, and meet other founders Co-hosted with @encodeclub Register here: https://t.co/TTg0YeZ76g

    7911416.0K viewsView on X
  • Aug 10, 20261.8x their median

    Hosting this Hackathon for 100 builders in Bangalore on 16th of August with a prize money of $1500. what will be the flow: ​- Learn: Morning workshops and hands-on mentoring to get you up to speed on Monad. ​- Build: 6 hours of high-speed execution. Form a team or go solo. ​- Ship: Demo your MVP to the crowd. ​- Win: Claim your share of the prize. Who can participate? Anyone who has the background but accepting only 100 builders. Link to the event: https://t.co/xI9IgqJkdi *only a limited number can be accepted* hurry up :)

    7741038.3K viewsView on X
  • Aug 6, 20261.8x their median

    Belgrade 🇷🇸, Monad Blitz is coming on August 22! Blitz is Monad Foundation’s high-energy, one-day hackathon for builders who want to learn fast, build fast, and ship on Monad. What to expect: → Monad 101 + onsite mentoring → A full day of building at the @TenderlyApp office → Demos, networking, and up to $2,000 in prizes Apply now, limited spots available. https://t.co/wvI8Idcurw

    6661298.0K viewsView on X
  • Sep 27, 20261.6x their median

    Launchpads are interesting because in crypto, distribution is everything. @cryptunez explains why web3 users often have aligned incentives with the products they use. If they hold the token or benefit from the ecosystem growing, they’re more likely to talk about the product and help distribute it. A launchpad takes that one step further: it becomes a community of communities.

    685913.4K 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 53 interactions against 82K followers, an engagement rate of 0.063%. Measured over 34 original posts, its engagement rate beats 43% of 21,185 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 3.0K times each, and 1.77% of those impressions turn into an interaction. That is about 3.65% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 34 posts sampled, 68% carry an image or video and 65% link out. The account's strongest tracked post pulled 1.9K interactions, about 37x its own typical post.

What is Monad Devs's engagement rate on X?
Monad Devs (@monad_dev) has an engagement rate of 0.063%, based on the median interactions across 34 original posts from the last 30 days against 81,832 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.063%, Monad Devs sits above the 25th percentile of the 213,098 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 @monad_dev have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (21,185 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 @monad_dev post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 2.17 posts per day across the measured window.

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