Terrarmy 🐋 engagement report
@terra_army - 101K followers on X
Measured over 24 original posts from a 30-day window, last computed on October 16, 2026.
Engagement
A typical post picks up 13 interactions against 101K followers, an engagement rate of 0.013%. Measured over 24 original posts, its engagement rate beats 20% of 21,185 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 2.4K times each, and 0.55% of those impressions turn into an interaction. That is about 2.34% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 92% carry an image or video. The account's strongest tracked post pulled 425 interactions, about 33x its own typical post. Recurring topics include #bitcoin, #binance.
Measured over 24 original posts from a 30-day window, last computed on October 16, 2026. Recurring tags: #bitcoin, #binance.
Compared with accounts its own size
Terrarmy 🐋's engagement rate beats 20% 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 26% 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 0.013%, Terrarmy 🐋 sits above the 10th percentile of the 213,098 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 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 17:00 UTC, and Wednesday 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 | 92% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 92% 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.
- 0% 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 319 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
- Oct 12, 202633x their median
Why are Shiba Inu Memecoin Fans so Focused on "Burning" Tokens? In the Shiba Inu ecosystem, token burns are a way to permanently remove ethereum:0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce from circulation. If fewer tokens remain available, each token could become more valuable if demand stays strong or increases. But burns alone do not guarantee a price increase. Here's how it works. (1) Tokens Are Sent to Burn Addresses A burn typically involves sending SHIB to a blockchain address nobody can access. Those tokens become effectively unusable and cannot be spent or traded again. (2) The Goal Is to Reduce Supply Shiba Inu launched in August 2020 with a supply of 1 quadrillion tokens. About 41% has been burned so far, most of it in a single May 2021 transaction by Vitalik Buterin, who burned 410.24 trillion SHIB (3) Burn Rates Get Community Attention SHIB fans track burn transactions and daily burn-rate changes to see how many tokens have been removed. Large burns often attract attention, but the percentage burned matters more than a headline number alone. For example, 707.5 million SHIB were burned in the 30 days to October 9, 2026. That sounds large, but it is just 0.000121% of circulating supply. (4) Shibarium Adds Another Part to the Story Shibarium, Shiba Inu’s layer-2 network, has been part of the ecosystem’s burn discussion. Activity on the network, including ethereum:0x9813037ee2218799597d83d4a5b6f3b6778218d9 moving from Shibarium to Ethereum ethereum:native, feeds into SHIB burns. More transactions do not automatically mean a proportional increase in SHIB burns. (5) Burns Do Not Guarantee Higher Prices Even when tokens are permanently removed, SHIB's price still depends on demand, market conditions, liquidity, and investor sentiment. If demand weakens, a lower supply may not be enough to lift the price. Ultimately, burning tokens is about reducing supply, but the real question for SHIB holders is whether demand can keep pace with that reduction.
- Sep 30, 202632x their median
$LUNC to $0.10? 🚀 The community wants it. And yes, the dream is still alive. But let's do the math 👇 At 5.5T circulating supply, $0.10 LUNC = $550B market cap. That’s roughly 1,900× from today’s $0.000052 price. Burns can help ,but burns alone won't magically create $550B. We need: 🔥 Massive supply reduction Real demand & volume, Stronger Terra Classic ecosystem , New capital entering LUNC Hope is good. But math is what tells us how big the mission really is. It's a supply + demand challenge. 🦾 What your price target 🎯 👇
- Oct 14, 202613x their median
99% $LUNC BURN possible or not ? https://t.co/zVapdxGiZ3
- Oct 15, 202611x their median
$LUNC Army, be honest! Can $USTC ever return to $1, or is it an impossible dream? https://t.co/JSPMe31kRT
- Oct 15, 20269.7x their median
🚀 The most successful memecoins in crypto history didn't just create hype… they created CULTURES. 🐕 $DOGE The original memecoin legend. 🐕 $SHIB Turned a meme into an entire ecosystem. 🐸 $PEPE Proved internet culture can move billions in market value. 🐶 $BONK Became a major name in the Solana ecosystem. 🐕 $FLOKI Expanded beyond memes into products and utility. Different chains. Different communities. One common factor: attention + community + timing. But remember: past success doesn't guarantee future returns. Many memecoins also collapse. Which memecoin will go down in history as the greatest of all time? $DOGE, $SHIB, $PEPE, $BONK, or someone else? 🔥 #Memecoins #Crypto
- Oct 14, 20264.8x their median
If this $LUNC support level breaks, it will spell disaster. However, the support is strong, so I hope it holds. What do you think? https://t.co/sQTkPqvjeE
- Oct 13, 20264.6x their median
🚨 WHAT DOES TERRA CLASSIC NEED FOR A REAL COMEBACK? 🌍🔥 Burns alone aren't enough. Imagine a stronger $LUNC ecosystem with: 🤖 AI agents & automation 🌉 Cross-chain liquidity 🏗️ More developers building dApps 💰 Real utility and organic demand Less hype. More innovation. More adoption. 🚀 What do you think should be the FIRST priority for Terra Classic's growth? 👇
- Oct 14, 20262.9x their median
Send more $LUNC Bears 🐻 🥷 https://t.co/a4ubyxdU8e
- Oct 15, 2026
$BTC BEARS THINK THE RALLY IS OVER… BUT THE DAILY CHART SAYS OTHERWISE. BTC is pulling back from $85K, but the bigger ascending structure is still intact. https://t.co/brBpd2NQ4D
- Oct 15, 2026
INSTITUTIONS ARE BUYING CRYPTO WHILE THE MARKET IS UNDER PRESSURE! Strive reportedly added 2,822 $BTC. Bitmine reported holdings of 6.03 MILLION $ETH. https://t.co/5BbqBbFXDn
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 13 interactions against 101K followers, an engagement rate of 0.013%. Measured over 24 original posts, its engagement rate beats 20% of 21,185 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 2.4K times each, and 0.55% of those impressions turn into an interaction. That is about 2.34% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 92% carry an image or video. The account's strongest tracked post pulled 425 interactions, about 33x its own typical post. Recurring topics include #bitcoin, #binance.
- What is Terrarmy 🐋's engagement rate on X?
- Terrarmy 🐋 (@terra_army) has an engagement rate of 0.013%, based on the median interactions across 24 original posts from the last 30 days against 101,039 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.013%, Terrarmy 🐋 sits above the 10th percentile of the 213,098 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 @terra_army have real engagement?
- Its engagement rate beats 20% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter 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 @terra_army post?
- Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.13 posts per day across the measured window.