onglaithuyen ⛵️ engagement report
@KSV_Whale - 999K followers on X
Measured over 22 original posts from a 30-day window, last computed on October 27, 2026.
Engagement
A typical post picks up 10 interactions against 999K followers, an engagement rate of 0.001%. Measured over 22 original posts, its engagement rate beats 11% 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 25K times each, and 0.038% of those impressions turn into an interaction. That is about 2.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 95% carry an image or video. The account's strongest tracked post pulled 12K interactions, about 1249x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on October 27, 2026.
Compared with accounts its own size
onglaithuyen ⛵️'s engagement rate beats 11% of the tracked X accounts closest to it in follower count (21,185 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 2% 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%, onglaithuyen ⛵️ sits below the 10th percentile of the 212,270 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 | 0.146% |
| 75th percentile | 0.695% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 14:00 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 | 95% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 5% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 95% 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.
- 5% 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 763 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 22, 20261249x their median
🚨 BREAKING: TRUMP REJECTS UN AI TREATY, OFFICIALLY BANS THE TERM “ARTIFICIAL INTELLIGENCE” "The United States totally rejects any attempt to construct a globalist schemeto control artificial intelligence." "The word 'artificial' makes it sound fake. It is not fake... It’s actually amazing..." "From this point forward, all United States documents will use the term: SUPER INTELLIGENCE" "Whoever wins Super Intelligence, wins." https://t.co/E05xmTLMgF
- Oct 5, 2026494x their median
This guy made so many millionaires in crypto. Hyperliquid https://t.co/IenV5i8KLs
- Sep 6, 2026390x their median
We are aware of a security incident on @Liquid_BTC. Purported white-hat hackers have withdrawn ~4,000 BTC (~$320 million) from the Liquid Federation wallet. The @Blockstream team is working on contacting them on-chain with a signed message. What we know so far is that the funds were withdrawn via the SideSwap PAK (Peg-out Authorization Key), but that key was not compromised, nor were any others. Exchanges have been notified and have already paused (or will pause) LBTC deposits and withdrawals. Other Liquid assets such as USDT, DePix, and RWAs are unaffected by this security incident. Bridge nodes have been temporarily disabled, so no new transactions can be submitted to the network. Effectively, the Liquid sidechain is paused until this issue is resolved. Liquid wallets will be impacted, and we're sorry for any inconvenience. Federation members are actively working on resolving this so we can restore normal network activity. You can monitor the situation via @mempool's https://t.co/M46Zhn8nlY site below: https://t.co/B8j9u4j6i4
- Oct 4, 2026287x their median
Doing a bit of a self-experiment. Goal: use my personal health and travel data to provide personalized diet and exercise recommendations for me, using frontier models but in a way that avoids leaking to them any private information. Strategy: use a local model (Qwen 3.8 Flash Next) to orchestrate, and use powerful remote models as a tool call to benefit from higher-level thinking and knowledge that the local model does not have. Three-layer approach to privacy: Avoid leaking personally identifiable information, or leaking my identity through writing style -> local model writes the queries to the frontier model, not me Avoid leaking who I am through the payment channel -> zkAPI Avoid leaking who I am through networking / IP -> Tor You need all three (and finally we have all three, at least to some extent) A skill file teaches the local model when and how to construct minimally-data-revealing requests to remote models. Use zkAPI-wrapped-with-Tor as a CLI tool. And everything works! I got the recommendations back, info from frontier models helped to improve them. Main deficiencies: * Tor is really not optimized for request-by-request de-linking, which is the only form of network-layer privacy that really makes sense in today's world (long-running identifiers are too fragile). Probably not private enough, and latency 10-100x higher than it could be, at the same time. * The skill file's request construction strategies are definitely far from optimal. * Qwen 3.8 Flash Next is still too slow for comfort. It's comfortably running at 20-30 TPS, but it would only really start to feel fast at 100+ * There is a tradeoff: the more careful you are about what data you give to a remote model, the less it can help you https://t.co/1g81Mp1sWW
- Sep 15, 2026275x their median
Elizabeth Warren: I won't vote in favour of the Clarity Act. Crypto investors: https://t.co/TaiEbUuX0E
- Aug 23, 2026219x their median
🇨🇳 A Chinese humanoid robot just jumped 2.88 meters… from a standstill. Higher than Javier Sotomayor’s all-time human record of 2.45 meters. Last year, the best robot managed 0.95 meters. In 12 short months, they've more than tripled that. The same event also saw a humanoid run 100 meters in 9.39 seconds, faster even than Usain Bolt. It’s so over 😂 Writers: Sol, Michael https://t.co/eJvSmvwUQ5
- Sep 21, 2026181x their median
JUST IN: ProCap Financial CEO Anthony Pompliano reminds Fox Business "Bitcoin has no top, because the dollar has no bottom." "If the government keeps printing money, Bitcoin is going to go WAY higher in the coming years." 🚀 https://t.co/0JjpCvuhXA
- Aug 7, 2026163x their median
A goal of 3 billion isn’t scale. It’s inclusion. One account. Global access. 24/7. https://t.co/NLsKYUUrIR
- Sep 13, 2026116x their median
LATEST: President Trump met with advisers Friday to discuss the CLARITY Act ethics proposal before the September 15 Senate cloture vote that needs 60 votes to proceed, with the outcome of the meeting undisclosed, per Politico. https://t.co/Fl4BPQ78ZS
- Sep 25, 202657x their median
Gracy Chen single guys 👀 https://t.co/K0JQfJlHy7
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.
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Reading these numbers
A typical post picks up 10 interactions against 999K followers, an engagement rate of 0.001%. Measured over 22 original posts, its engagement rate beats 11% 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 25K times each, and 0.038% of those impressions turn into an interaction. That is about 2.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 95% carry an image or video. The account's strongest tracked post pulled 12K interactions, about 1249x its own typical post.
- What is onglaithuyen ⛵️'s engagement rate on X?
- onglaithuyen ⛵️ (@KSV_Whale) has an engagement rate of 0.001%, based on the median interactions across 22 original posts from the last 30 days against 999,387 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, onglaithuyen ⛵️ sits below the 10th percentile of the 212,270 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 @KSV_Whale have real engagement?
- Its engagement rate beats 11% 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 @KSV_Whale post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.23 posts per day across the measured window.