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
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: #ๅฏ่ดต.
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 68% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 7% 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: Iโve used DexScreener for years because thatโs 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? Whoโs 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 canโt tell thisโฆ Thatโs 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 โeverything is trending because someone paid for itโ feeling. I use it when Iโm 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.
- 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
- Sep 27, 20264.6x their median
We need a hero! https://t.co/44Z6aqJgup
- Sep 21, 20264.0x their median
Your bet for best memecoin?
- Sep 24, 20263.9x their median
Top 5 Trending Arc Chain Tokens ๐ 1. $TOLLY 2. $MALA 3. $FAZE 4. $Architects 5. $ARCT Are you bullish on Arc Chain or nah? https://t.co/ouaD509dNP
- 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?
- Sep 22, 20263.1x their median
Robinhood Szn All Over Again ๐ข๐น https://t.co/NB9V0mjxeN
- Sep 25, 20262.8x their median
What's your pick for best Robinhood token?
- Sep 22, 20262.5x their median
You can only HODL 3 memecoins for the rest of your life. What would they be?
- Sep 27, 20262.0x their median
Which alt are you most bullish on?
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
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.