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MartyParty engagement report

@martypartymusic - 243K followers on X

Measured over 43 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Middle of its size range
Per follower
0.051%
of 243K followers
Per impression
0.896%
14K views on a typical post
Reach
5.64%
of its followers see a post
Typical post
123
interactions (median)
Saved
0.007%
1 bookmarks on a typical post
Posting rate
1.73/day
active 17% of days
Peak time
14:00 UTC
Tuesday

A typical post picks up 123 interactions against 243K followers, an engagement rate of 0.051%. Measured over 43 original posts, its engagement rate beats 49% of 6,874 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 14K times each, and 0.896% of those impressions turn into an interaction. That is about 5.65% 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, though only 17% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 43 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 11K interactions, about 87x its own typical post. Recurring topics include #soundcloud, #wyckoff.

Measured over 43 original posts from a 30-day window, last computed on September 10, 2026. Recurring tags: #soundcloud, #wyckoff.

Compared with accounts its own size

MartyParty's engagement rate beats 49% of the tracked X accounts closest to it in follower count (6,874 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 43% 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 0.051%, MartyParty sits above the 25th percentile of the 66,128 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video33% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 33% 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.
  • 5% 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 117 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Dec 6, 202387x their median

    A great crypto thesis: @Solana will disrupt @Apple, @Samsung, @google and cloud service providers @Microsoft and @amazon Yes, that’s right. I’m not talking about Ethereum, Polygon, Cardano, Avalanche, Hedera, or any other chain. And no, I’m not talking about the Saga phone. I’m talking about the world of software applications. I think Solana in particular will be the crypto winner in this domain by a wide margin. Let’s talk about why… The application layer Imagine you buy a new phone. It doesn’t matter which brand, but imagine that this phone costs you $1000, and it’s better than an iPhone. Way better. It’s loaded up with all the apps you expect, but they are better than the Apple equivalents. The calendar/to-do apps are all built by third parties, so you can pick which ones you like the most, but they all integrate seamlessly together. They can share your data between them. Want to switch to a new calendar app? Just download it, and you don’t even need to migrate your data to the new app. It’s already there when you open the app. Now imagine you open your navigation app, and all those calendar events are loaded into it, and it offers a screen that tells you the estimated commute times for each event location. No app integrations necessary. Not only that, but you can open a random restaurant recommendation app, and an AI model will look at your travel patterns, grocery preferences, and pre-existing eating habits, and automatically recommend 10 new restaurants that you’re going to love. But you’re feeling more adventurous, and you speak to it, saying, “I was actually thinking about trying out Himalayan food, preferably not too expensive” and it produces a nice (probably small) list of options. You say, “schedule a date with my wife for tomorrow at that second one on the list,” and it creates a calendar event, invites your wife (who uses a totally different calendar app), and makes the reservation for you. Now imagine that all of this happens without any centralized entity collecting your personal data. It’s all encrypted and it all lives on the Solana blockchain. Not only that, but all the apps are super cheap and usually free. The only catch is that you spend about $3/month on SOL that you need in order to use these apps. How is this possible? Well, the entire point of blockchains is to have a globally shared state that can be accessed by anyone at any time. Imagine if all the Web2 tech companies shared a single database and could integrate all their apps together to give you a seamless user experience across all of them. Solana enables that. With this type of system, we don’t need those big tech companies collecting “platform rent.” Individual companies lose their network effect when the network is global, permissionless, and open-source. Now the companies building applications will need to focus less on building a huge moat of personal data capture & exclusive “walled gardens” of applications, and will instead focus more on delivering great user experiences. They won’t be able to rest on their laurels because they have all their users locked in. Users can’t be locked in if their data is freely available to competing apps. The friction of switching to a new app becomes nonexistent. The underlying tech Let’s talk about the technical reasons that Solana not only meets these requirements, but is also the most likely candidate to dominate this use case. To do all of these seamless app integrations, you can’t be constantly splitting up that state onto multiple shards and rollup chains. Instead, you really need a single integrated blockchain that holds all the state on-chain. Obviously you can get away with using multiple layers of chains, but that’s way more complicated for developers and potentially the end users. We want simplicity and ease, so a monolithic blockchain is ideal. As much as admire Ethereums history, Ethereum’s model is far less than ideal.

    6.9K1.2K2.2K2706.1M viewsView on X
  • Mar 18, 202625x their median

    IMO: This is how the game theory plays out - US military engagement in the Middle East fails to achieve rapid decisive victory - the Strait of Hormuz experiences extended operational disruption - oil prices spike - petrodollar recycling mechanism comes under stress - foreign central banks reduce US Treasury holdings - US borrowing costs rise - Fed responds with significant balance sheet expansion - global liquidity expands significantly - Bitcoin as the most sensitive asset to liquidity with a finite supply absorbs a disproportionate share of that impulse This is forced monetary expansion.

    2.6K25118016801K viewsView on X
  • Aug 12, 202614x their median

    🍿🍿🍿🍿🍿🍿🍿$BTC👀👀👀👀👀👀👀👀 54 days. https://t.co/zsPfT31Gpb

    1.5K167481698K viewsView on X
  • Sep 8, 20265.5x their median

    The number of Bitcoin holders continues to rise https://t.co/DFRpskjrfM

    6174119419K viewsView on X
  • Sep 9, 20264.9x their median

    bitcoin:native #Wyckoff Accumulation Phase D coming to an end https://t.co/RQGnvzWdCf

    5293131727K viewsView on X
  • Sep 7, 20264.9x their median

    Solana does 4b transactions a month - XRP does 40m. Dont be silly. Adoption is not a narrative it is measurable and XRP is a ghost chain.

    5052367333K viewsView on X
  • Sep 9, 20263.6x their median

    Cynthia Lummis says the CLARITY Act will fail because Democrats will not compromise on Clarity, not because of ethics rules for the White House.

    3792044222K viewsView on X
  • Sep 7, 20263.1x their median

    Swap assets now

    315457264K viewsView on X
  • Sep 9, 20263.1x their median

    ETH and XRP->SOL and SUI Better software.

    3201343028K viewsView on X
  • Sep 8, 20262.6x their median

    There has never been a better time to be alive - dont believe the narratives

    293615017K 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

#soundcloud#wyckoff

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 123 interactions against 243K followers, an engagement rate of 0.051%. Measured over 43 original posts, its engagement rate beats 49% of 6,874 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 14K times each, and 0.896% of those impressions turn into an interaction. That is about 5.65% 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, though only 17% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 43 posts sampled, 33% carry an image or video. The account's strongest tracked post pulled 11K interactions, about 87x its own typical post. Recurring topics include #soundcloud, #wyckoff.

What is MartyParty's engagement rate on X?
MartyParty (@martypartymusic) has an engagement rate of 0.051%, based on the median interactions across 43 original posts from the last 30 days against 243,276 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.051%, MartyParty sits above the 25th percentile of the 66,128 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 @martypartymusic have real engagement?
Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (6,874 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 @martypartymusic post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 1.73 posts per day across the measured window.

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