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GeckoTerminal engagement report

@GeckoTerminal - 139K followers on X

Measured over 41 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Middle of its size range
Per follower
0.058%
of 139K followers
Per impression
1.40%
5.8K views on a typical post
Reach
4.16%
of its followers see a post
Typical post
81
interactions (median)
Saved
0.017%
1 bookmarks on a typical post
Posting rate
2.03/day
active 27% of days
Peak time
06:00 UTC
Sunday

A typical post picks up 81 interactions against 139K followers, an engagement rate of 0.058%. Measured over 41 original posts, its engagement rate beats 45% 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 5.8K times each, and 1.40% of those impressions turn into an interaction. That is about 4.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 41 posts sampled, 68% carry an image or video, 32% are part of a thread and 7% link out. The account's strongest tracked post pulled 552 interactions, about 6.8x its own typical post.

Measured over 41 original posts from a 30-day window, last computed on September 28, 2026. Recurring tag: #ๅฏŒ่ดต.

Compared with accounts its own size

GeckoTerminal's engagement rate beats 45% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 8 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 51% 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 0.058%, GeckoTerminal sits above the 25th percentile of the 212,656 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.697%
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 06:00 UTC, and Sunday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 link7% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 7% 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 152 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

  • Sep 21, 20266.8x their median

    HOW TO USE GECKOTERMINAL like a pro: Iโ€™ve used DexScreener for years because thatโ€™s what everyone pastes a CA into. DexScreener is still the fastest way to research new pairs. If something just launched and you need to see if volume is real in the first few minutes, I still start there. But the problem is most people treat that first look like the full thesis. What happens after the spike? Whoโ€™s actually making money on this pair? Which pool is the real market? Can I keep six charts open without bouncing between tabs like an idiot? Since dexscreener canโ€™t tell thisโ€ฆ Thatโ€™s where @GeckoTerminal comes in For example: On the top left of the information page of any coin, you can get the exact address of the developer that created the coin, check his activity and see which other coins he creates (I have added a picture of what this looks like below) Top traders, cleaner pool data, less of that โ€œeverything is trending because someone paid for itโ€ feeling. I use it when Iโ€™m comparing a few memes across chains instead of chasing one telegram call, I end up there. So yeah. DexScreener to find it. GeckoTerminal to sit with it.

    4134890118K viewsView on X
  • Sep 27, 20266.0x their median

    INSIGHT: Over 97% of the 211,828 tokens on Arc tracked by GeckoTerminal are now dead, with zero trading volume for 24H or more. https://t.co/ukz3U5msaz

    33932753748K viewsView on X
  • Sep 27, 20264.6x their median

    We need a hero! https://t.co/44Z6aqJgup

    16734165910K viewsView on X
  • Sep 21, 20264.0x their median

    Your bet for best memecoin?

    15129137512K viewsView on X
  • Sep 24, 20263.9x their median

    Top 5 Trending Arc Chain Tokens ๐Ÿ‘€ 1. $TOLLY 2. $MALA 3. $FAZE 4. $Architects 5. $ARCT Are you bullish on Arc Chain or nah? https://t.co/ouaD509dNP

    20032711126K viewsView on X
  • Sep 23, 20263.8x their median

    Top 10 Robinhood Coins by Market Cap 1. $PONS - $485M 2. $AI - $269M 3. $CASHCAT - $172M 4. robinhood:0xaa07a0e9209e16ac99708c3ec70159c6ef3128a3 - $68M 5. $BONER - $56M 6. $MEME - $36M 7. $Index - $35M 8. $musebook - $30M 9. $WALLET - $26M 10. robinhood:0xe8ffd7e24187f72afb08d75b1bb13088a989a791 - $24M Are you holding any of these?

    2071773821K viewsView on X
  • Sep 22, 20263.1x their median

    Robinhood Szn All Over Again ๐ŸŸข๐Ÿน https://t.co/NB9V0mjxeN

    1791749713K viewsView on X
  • Sep 25, 20262.8x their median

    What's your pick for best Robinhood token?

    931211449.3K viewsView on X
  • Sep 22, 20262.5x their median

    You can only HODL 3 memecoins for the rest of your life. What would they be?

    84611159.0K viewsView on X
  • Sep 27, 20262.0x their median

    Which alt are you most bullish on?

    69197616.9K 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

#ๅฏŒ่ดต

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 81 interactions against 139K followers, an engagement rate of 0.058%. Measured over 41 original posts, its engagement rate beats 45% 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 5.8K times each, and 1.40% of those impressions turn into an interaction. That is about 4.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 41 posts sampled, 68% carry an image or video, 32% are part of a thread and 7% link out. The account's strongest tracked post pulled 552 interactions, about 6.8x its own typical post.

What is GeckoTerminal's engagement rate on X?
GeckoTerminal (@GeckoTerminal) has an engagement rate of 0.058%, based on the median interactions across 41 original posts from the last 30 days against 139,368 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.058%, GeckoTerminal sits above the 25th percentile of the 212,656 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 @GeckoTerminal have real engagement?
Its engagement rate beats 45% 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 @GeckoTerminal post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 2.03 posts per day across the measured window.

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