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Luna πŸŒ™ engagement report

@Luna_Promotes - 103K followers on X

Measured over 40 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Middle of its size range
Per follower
0.024%
of 103K followers
Per impression
0.606%
4.2K views on a typical post
Reach
3.99%
of its followers see a post
Typical post
26
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.63/day
active 83% of days
Peak time
05:00 UTC
Thursday

A typical post picks up 26 interactions against 103K followers, an engagement rate of 0.024%. Measured over 40 original posts, its engagement rate beats 28% 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 4.2K times each, and 0.606% of those impressions turn into an interaction. That is about 4.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 40 posts sampled, 13% carry an image or video, 5% are part of a thread and 13% link out. The account's strongest tracked post pulled 5.8K interactions, about 224x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on September 24, 2026.

Compared with accounts its own size

Luna πŸŒ™'s engagement rate beats 28% 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 28% 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 0.024%, Luna πŸŒ™ sits above the 10th percentile of the 212,482 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,482 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile0.146%
75th percentile0.696%
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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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 video13% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 13% 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.
  • 13% 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 121 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

  • Aug 27, 2026224x their median

    πŸ’²30 || 24 hrs πŸŒ™ β€’ RT & Follow me [ AD, NFA, DYOR ]

    7094.3K813626K viewsView on X
  • Sep 21, 2026131x their median

    You know what @stevewilldoit to make it even crazier, Ill fly straight to you with Fredo just to talk. We can do lots with it, including a few videos/collab and streams. Heck we can even rip it up on tour for football with Juan x Fredo. lots of crazy ideas we can do, I got paper too. ill tip $100 to 10 people below just to get shit popping if your down It can be start of something funny and new. From fan to a mis communication "foe" to a friend πŸ˜ƒ hope you understand where I'm coming from and I'm sorry / hope we can work something out. #Manifestation BIG THINGS COMING #ShootersShoot

    1.3K1.2K897544K viewsView on X
  • May 28, 2026560x their median

    More people should know about the Interfold. It's basically what I've been yelling at people to build with the MACI ideas ( https://t.co/mlDy84zXQo ) for almost a decade, and now it exists, in a generalized form. The idea is: a privacy protocol optimized for things like voting (and other use cases eg. secret-ballot auctions). The mechanism generates a threshold encryption key, and people send in their votes onchain, using a ZKP to prove eligibility. An arbitrary computation on the votes gets run inside FHE, and then threshold-decrypted. From what I can tell (the docs are good https://t.co/adzwK6ezMN ), it gets pretty optimal security guarantees: * Voter anonymity can be made unconditional if eligibility is proven with ZK-SNARKs * Censorship resistance is guaranteed by ethereum (votes can be posted directly onchain, and there's a proof that all posted votes are taking into account) * The correctness of the outputted result can be ensured via ZK over FHE * Liveness and coercion resistance depend on M-of-N honesty; unavoidable given present-day technology The main limitation is that today "ZK over FHE" is only properly available for additive vote tallying, as it's too expensive for computations that involve multiplication or other more complicated manipulation at the moment. There's work in progress on slashing-based / optimistic computation for such situations. (And of course ideally in the long term we'd figure out obfuscation so you can get rid of the M-of-N committeesπŸ˜ƒ)

    1.2K18125097309K viewsView on X
  • Sep 17, 202651x their median

    πŸ’²10 || 5 hrs πŸŒ™ β€’ RT & JOIN https://t.co/ppYhtQtC9S (Post Proof) [ AD, NFA, DYOR ]

    78444796213K viewsView on X
  • Sep 13, 202630x their median

    πŸš€ WHAT CAN BE DONE IN JUST ONE WEEK! πŸ”₯ A huge thank you to @SuperteamTH & @SuperteamEarn for your incredible support this week! πŸ™Œ Here’s what we’ve achieved with Solara Lotto in just 7 days: πŸŽ°β˜€οΈ πŸ† Real players, real winners! 🎟️ Players have already won tickets, and 5 people have claimed their prizes! πŸ₯³ πŸ” More transparency We’ve improved our website UI so everyone can see exactly what people win each week β€” verifiable on-chain and visible on our website. ⛓️ 🀝 New partnership! BlockDesk News Γ— Superteams Thailand πŸ‡ΉπŸ‡­ Excited to bring together the Solana ecosystem and the media company I run to create something valuable for everyone. 🎬 Superteams Earn Campaign is live! People are submitting amazing AI videos and written applications. Some content has even started going viral! πŸ”₯ πŸ… Wild Colosseum Hackathon -We’ve entered the hackathon and will be working closely with Superteams Thailand next week! πŸ“ˆ 1,000 organic followers! - We hit 1,000 natural followers on X within just a couple of weeks of launching! πŸš€ 🌐 The bigger vision - Solara currently supports SOL, but the goal is to expand and bring more Solana-based projects and tokens into the platform. -Imagine partnering with other projects and creating real utility for their tokens through a playable, on-chain lottery ecosystem. 🎰⚑ - Next week is all about connections, partnerships, and growth! 🀝 Thank you to everyone supporting the journey. We’re just getting started! β˜€οΈ

    39537518114K viewsView on X
  • Sep 12, 202630x their median

    πŸ’²15 || 24 hrs πŸŒ™ Join TG ( Proof ) : https://t.co/jw8kOS0RWE Cancore Free $50,000 in $CNRX up for grabs.❗️ _ ( AD, NFA, DYOR ) https://t.co/WRheHszVh0

    62258453111K viewsView on X
  • Sep 16, 202615x their median

    πŸ”₯ Celebrating XT’s 8th Anniversary with our official sponsor @Mongram1022 $ARC. /USDT Spot Trading is officially LIVE with a massive 24,300 $ARC. prize pool waiting to be claimed! 🎁 New User Perk: Grab 15 $ARC. (First 100 traders) πŸ’° Trading Rewards: Stack tiers up to 467 $ARC. πŸ† Max Payout: 482 $ARC. per user ⏰ Sept 16, 10:00 – Sept 30, 10:00 (UTC) πŸ‘‰ Join now: https://t.co/1SsJnv8vSL #XT8thAnniversary #Mongram #ARC.

    19515234860K viewsView on X
  • Sep 4, 20266.0x their median

    $DEOD is breaking out β€” I’m buying again. Buy zone: $0.0174 Major resistance is broken Momentum is building I personally added more $DEOD today. My target: 2–3X from here this week. If you have funds you can afford to risk, this could be the time to lock in your position. Not financial advice.

    101302503.6K viewsView on X
  • Sep 17, 20264.0x their median

    Did you miss buying Bitcoin in 2009? πŸ‘€ Then don’t be late discovering what comes next. $B21 Token is launching soon πŸš€ Built around a fixed supply of 21M tokens and a deflationary model, Block21 Official is preparing for its next chapter. The countdown begins. ⏳ πŸ”₯ Launching soon 🌐 Block21 Official πŸ’Ž 21M fixed supply βœ–οΈ Page: @Block21Official πŸ’¬ Join fhe official Telegram Community: https://t.co/I4UG2Spcwv #bitcoin #b21 #btc #bsc #altcoin #crypto

    59242004.5K viewsView on X
  • Aug 27, 20263.0x their median

    Hey!!

    5622107.2K 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 26 interactions against 103K followers, an engagement rate of 0.024%. Measured over 40 original posts, its engagement rate beats 28% 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 4.2K times each, and 0.606% of those impressions turn into an interaction. That is about 4.08% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 05:00 UTC, and Thursday is the busiest day of the week. Of the 40 posts sampled, 13% carry an image or video, 5% are part of a thread and 13% link out. The account's strongest tracked post pulled 5.8K interactions, about 224x its own typical post.

What is Luna πŸŒ™'s engagement rate on X?
Luna πŸŒ™ (@Luna_Promotes) has an engagement rate of 0.024%, based on the median interactions across 40 original posts from the last 30 days against 103,110 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.024%, Luna πŸŒ™ sits above the 10th percentile of the 212,482 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 @Luna_Promotes have real engagement?
Its engagement rate beats 28% 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 @Luna_Promotes post?
Most posts go out around 05:00 UTC, and Thursday is its busiest day, at roughly 2.63 posts per day across the measured window.

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