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LunarCrush engagement report

@LunarCrush - 298K followers on X

Measured over 48 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 298K followers
Per impression
0.13%
1.5K views on a typical post
Reach
0.52%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
3.67/day
active 33% of days
Peak time
13:00 UTC
Friday

A typical post picks up 2 interactions against 298K followers, an engagement rate of 0.001%. Measured over 48 original posts, its engagement rate beats 4% of 20,444 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 1.5K times each, and 0.13% of those impressions turn into an interaction. That is about 0.518% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 48 posts sampled, 83% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 1.0K interactions, about 512x its own typical post. Recurring topics include #fttb, #pmslive.

Measured over 48 original posts from a 30-day window, last computed on October 18, 2026. Recurring tags: #fttb, #pmslive.

Compared with accounts its own size

LunarCrush's engagement rate beats 4% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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%, LunarCrush sits below the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 Friday 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video83% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% 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.
  • 2% 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 313 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Sep 18, 2026512x their median

    🔥 JUST IN: $HYPE hits a new all-time high of $90. https://t.co/2C0tuR7azc

    87956761389K viewsView on X
  • Sep 18, 2026436x their median

    I gave a speech this morning at the Barron’s 100 Summit, a gathering of the top 100 financial advisors in America. The speech focused on tokenization, and covered everything from $ETH and $SOL to $HYPE, $UNI, $MORPHO and many other assets. There were a lot of people taking photos of the slides. I think the world will be surprised by the level on institutional interest in “alt coins” in the coming cycle.

    75356501245K viewsView on X
  • Oct 12, 2026225x their median

    Altcoins are putting up some serious numbers this week. $ELF +210% $W +104% $BTW +86% $STRK +82% $BAT +55% $Q +51% $S +45% ELF is leading the pack, but the bigger picture is that multiple large cap alts are moving together. Is capital finally rotating back into altcoins? 👀 https://t.co/rM1Bw9c5Gv

    410930179K viewsView on X
  • Aug 21, 2026212x their median

    The Mariners are serving a Jimothy cocktail in a toy trash can with a raccoon tail. It sold out before first pitch. The meme hit social weeks before the drink hit the menu. Jimothy engagement topped 87M on July 18. It’s 3.5M today. $JIMOTHY market cap peaked at $38.6M on July 22, then bottomed at $3.3M on August 5. That was the same day the Mariners threw Jimothy Night. Brands leverage movements when social activity shows up. The market moves first.

    270100431024K viewsView on X
  • Aug 25, 2026199x their median

    Not only has Jimothy the Raccoon become a cultural phenomenon taking over Seattle and the hearts of many, $JIMOTHY price is up +184% this week. With up to 629 unique content creators posting per hour, the leaders with the most engagement include: @whalewatchalert @saracrypto_eth @PumpfunEco @MemeRetire @hailey_cryptoo @0xBNZ @manifestingdiva @gem_insider

    22710856614K viewsView on X
  • Oct 15, 2026185x their median

    SAXO WARNS AI STOCKS ARE SPLITTING INTO WINNERS AND LOSERS Saxo says investors are becoming more selective, favoring profitable chipmakers like TSMC ($TSM), Samsung and ASML ($ASML) over debt-heavy AI infrastructure companies. CoreWeave ($CRWV), Nebius ($NBIS) and Oracle ($ORCL) face growing scrutiny over borrowing costs and profitability. CoreWeave plunged 15% Wednesday, while BlackRock's semiconductor ETF has fallen 14% over eight sessions.

    28230508147K viewsView on X
  • Aug 27, 2026170x their median

    Sonic $S is up 41% this week and the social data says why. Mentions: +3.1% Engagements: +161.2% Creators: +8.2% Sentiment: 72% AltRank: #12 Engagement per mention went from ~78 to ~197 in seven days. The crowd did not get bigger. It got 2.5x louder. That is a concentration move, not a discovery move. Rallies built on a few high-reach accounts unwind faster than rallies built on new mentions. What is driving it: CEO Matt Visser on RWAs and bank pilots, plus Demo Day selecting 8 projects from 300+ applicants. Context for the 41%: $S still trades ~97% below its Jan 2025 high with TVL near $20M. Big percentage, small base.

    26252161017K viewsView on X
  • Aug 22, 2026163x their median

    Memecoins. So Back. Mentions way up nearly across the board today... 1 PumpFun 2 Jimothy the Racoon 3 Dogecoin 4 CATECOIN 5 Pepe 6 CASHCAT 7 Fartcoin 8 Official Trump 9 Dog (Bitcoin) 10 SPX6900 11 MANEKI 12 Shiba Inu 13 Banana Tape Wall 14 Pudgy Penguins 15 ApeCoin 16 Ribbita 17 catwifhat 18 Retard Finder 19 Vine Coin 20 Popcat

    17663642329K viewsView on X
  • Oct 13, 2026112x their median

    CITIGROUP $C Q3’26 EARNINGS HIGHLIGHTS 🔹 Revenue: $23.8B (Est. $23.72B) 🟢; +8% YoY 🔹 Adj. EPS: $2.85 (Est. $2.66) 🟢; +27% YoY 🔹 Fixed Income: $4.4B (Est. $4.34B) 🟢; +4% YoY 🔹 Equity Markets: $1.7B (Est. $1.73B) 🔴 Segment Revenue: 🔹 Services: $6.6B; +15% YoY 🔹 Markets: $6.1B (Est. $6.07B) 🟢; +6% YoY 🔹 Banking: $1.7B; +6% YoY 🔹 Wealth: $3.3B; +15% YoY 🔹 USCC: $4.7B; flat YoY 🔹 All Other: $1.4B; -3% YoY Other Q3 Metrics: 🔹 Investment Banking: $1.4B; +9% YoY 🔹 Average Loans: $809B; +12% YoY 🔹 EOP Deposits: ~$1.5T; +9% YoY 🔹 Net Credit Losses: $2.2B; flat YoY 🔹 Provision for Credit Losses: $2.6B Financials: 🔹 Net Income: $5.2B 🔹 ROE: 10.1%; +300 bps YoY 🔹 RoTCE: 11.5%; +350 bps YoY 🔹 CET1 Ratio: 12.8% 🔹 Book Value per Share: $115.61 (Est. $116.02) 🔴 🔹 Tangible Book Value per Share: $101.59; +6% YoY 🔹 Efficiency Ratio: 58.5% Capital Return: 🔹 Returned to Shareholders: ~$4.1B 🔹 Payout Ratio: 85% Key Updates: 🔹 Notable Item: Prior-year $726M goodwill impairment recorded in operating expenses related to the Banamex stake sale 🔹 CET1 Ratio: 12.8%, unchanged from the prior quarter Comments: 🔸 “Our performance in the quarter, which included the best third-quarter revenue in a decade, positive operating leverage and meaningful improvement in our returns, reflects the continued disciplined and consistent execution of our strategy.”

    1803210228K viewsView on X
  • Aug 25, 2026102x their median

    Memecoins have been seeing increasing attention on social every day over the last week. Which are showing the most? Top memecoins by social share: 1 PumpFun $PUMP 2 CATECOIN $CATE 3 Dogecoin $DOGE 4 CASHCAT $CASHCAT 5 Dog (Bitcoin $DOG 6 Timothy the Raccoon $JIMOTHY 7 Official Trump $TRUMP 8 Pepe $PEPE 9 Shiba Inu $SHIB 10 Fartcoin $FARTCOIN

    10623601415K 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

#fttb#pmslive

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 2 interactions against 298K followers, an engagement rate of 0.001%. Measured over 48 original posts, its engagement rate beats 4% of 20,444 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 1.5K times each, and 0.13% of those impressions turn into an interaction. That is about 0.518% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 48 posts sampled, 83% carry an image or video and 8% are part of a thread. The account's strongest tracked post pulled 1.0K interactions, about 512x its own typical post. Recurring topics include #fttb, #pmslive.

What is LunarCrush's engagement rate on X?
LunarCrush (@LunarCrush) has an engagement rate of 0.001%, based on the median interactions across 48 original posts from the last 30 days against 297,710 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, LunarCrush sits below the 10th percentile of the 205,048 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 @LunarCrush have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (20,444 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 @LunarCrush post?
Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 3.67 posts per day across the measured window.

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