KrypToon engagement report
@Kryp_Toon - 1.4M followers on X
Measured over 16 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 70 interactions against 1.4M followers, an engagement rate of 0.005%. Measured over 16 original posts, its engagement rate beats 25% of 20,444 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 14K times each, and 0.506% of those impressions turn into an interaction. That is about 0.995% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 63% link out. The account's strongest tracked post pulled 638 interactions, about 9.1x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on October 25, 2026. Recurring tag: #elyonchain.
Compared with accounts its own size
KrypToon's engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 31% 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 0.005%, KrypToon sits above the 10th percentile of the 204,694 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 12:00 UTC, and Monday 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 | 75% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 63% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 75% 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.
- 63% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 809 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
- Aug 15, 20269.1x their median
Know before it opens. The coming soon list shows exactly when each memecoin goes live, down to second. No guessing, no refreshing. https://t.co/6Zq3Q5XtVE
- Aug 14, 20268.4x their median
Introducing the Narratives feed on FomoGG App Narratives, with the tickers attached. Every story carries its ticker underneath, so you can see what is moving and why, right there. https://t.co/xlmUPkdGjy
- Aug 17, 20267.5x their median
The fastest hand isn’t always the one that matters. Pre-authorise your pick early and get ahead of the rush. When the moment comes, turn that early commitment into speed. https://t.co/PyqvW7Au9l
- Aug 18, 20266.7x their median
Post, follow, hold. Same app. Your FomoGG profile carries your posts, your followers, and the memecoins you hold. Follow anyone and their activity lands in your feed, no second app needed. https://t.co/Jko1xMSubb
- Oct 7, 20263.9x their median
✨Strategic Partnership Announcement✨ 🩷We are delighted to inform you of our newly formed partnership with @iracuin. To stay abreast of regular updates, kindly follow our social media platforms. ⭐️ Platform Overview: Iracuin is building a verification focused settlement protocol designed for digital applications where outcomes need to be independently verified. Instead of requiring validators to repeat the same computation, Iracuin is designed to let applications execute natively while the network verifies and settles the resulting outcomes. Its approach targets areas including AI, finance, governance and real world assets. Worth exploring as the infrastructure develops. 🚨Disclaimer: For informational purposes only. Always do your own research. 🔗Iracuin:👇 ☑️Telegram: https://t.co/BXD7Yz8M54 ☑️X: https://t.co/iRqafjR7D4 ☑️Website: https://t.co/icBOOzBXsG
- Oct 5, 20263.9x their median
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- Sep 30, 20263.7x their median
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- Sep 15, 20262.4x their median
GM Buddies The Strongest Security Detail in GEORGE’s Audit Is the Limitation It Admits 🔐📑 Security reporting becomes more credible when the scope is stated as clearly as the score. GEORGE’s published report shows 118 passing tests, with scorecards of 9.3 for security, 9.5 for architecture, 9.1 for performance, and 8.7 for gas efficiency. It also documents fail-closed behavior under the tested scenarios. But the report makes an important distinction: its conclusions are based on supplied Hardhat tests, stress runs, long-run outputs, and gas traces. It explicitly says this is not a substitute for a fresh, independent, line-by-line manual audit. The tested-scope risk matrix also keeps operational issues visible, including settlement-related gas pressure and external swap dependency. Separately, the GEORGE website currently lists Cyberscope as scheduled. That is the correct way to read the evidence: useful validation of observed behavior, not a blanket guarantee that the contracts are defect-free. 🌐 https://t.co/vfK1GiJV6z 𝕏 https://t.co/tfr7KcKEH2 ✈️ https://t.co/VQczta93Fr Disclaimer: Passing tests, audit-style reports, and security scores do not prove a smart contract is safe. Verify independent audits, deployed bytecode, admin privileges, dependencies, and current contract state. $GEORGE | ethereum:native @GEORGE_FOC #GeorgeFOC #SmartContractSecurity #Web3Security #Audit #Ethereum
- Aug 28, 20262.2x their median
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- Sep 16, 20262.1x their median
GN X-Communities “Cold by Default” Is a Better UX Rule Than a Green Button 🧊🛡️ One of the more useful sections in GEORGE’s September 2026 whitepaper is not a token feature. It is the operational-control model. The document sets out six interface rules: • State before UX • No fake success • Cold by default • Least authority • Network explicit • Owner controls isolated In practice, that means an unavailable capability should remain visibly unavailable, a signature flow should make the network clear, and the interface should report actual wallet, RPC, and contract outcomes instead of simulating success. This matters because Web3 risk does not begin and end in Solidity. A frontend can create false confidence even when the underlying contract is behaving correctly. Keeping the UI subordinate to verifiable state reduces that gap. For me, “cold by default” is the standout principle: if a capability cannot be verified as available, the safer interface is one that refuses to pretend otherwise. 🌐 https://t.co/vfK1GiKsW7 𝕏 https://t.co/tfr7KcLcwA ✈️ https://t.co/VQczta9BuZ Disclaimer: Design principles reduce risk but cannot eliminate smart-contract, frontend, RPC, wallet, configuration, or operational failures. Independently verify every transaction and contract interaction. $GEORGE | ethereum:native @GEORGE_FOC #GeorgeFOC #Web3UX #SecurityDesign #Onchain
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 70 interactions against 1.4M followers, an engagement rate of 0.005%. Measured over 16 original posts, its engagement rate beats 25% of 20,444 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 14K times each, and 0.506% of those impressions turn into an interaction. That is about 0.995% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 63% link out. The account's strongest tracked post pulled 638 interactions, about 9.1x its own typical post.
- What is KrypToon's engagement rate on X?
- KrypToon (@Kryp_Toon) has an engagement rate of 0.005%, based on the median interactions across 16 original posts from the last 30 days against 1,389,105 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.005%, KrypToon sits above the 10th percentile of the 204,694 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 @Kryp_Toon have real engagement?
- Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,444 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 @Kryp_Toon post?
- Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 0.57 posts per day across the measured window.