KTX engagement report
@KTX_Exchange - 213K followers on X
Measured over 23 original posts from a 30-day window, last computed on October 4, 2026.
Engagement
A typical post picks up 10 interactions against 213K followers, an engagement rate of 0.005%. Measured over 23 original posts, its engagement rate beats 16% of 20,444 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 2.6K times each, and 0.387% of those impressions turn into an interaction. That is about 1.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 07:00 UTC, and Monday is the busiest day of the week. Of the 23 posts sampled, 83% carry an image or video, 17% are part of a thread and 65% link out. The account's strongest tracked post pulled 67K interactions, about 6677x its own typical post. Recurring topics include #ai, #btc, #kbw.
Measured over 23 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #ai, #btc, #kbw.
Compared with accounts its own size
KTX's engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 22% 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%, KTX sits above the 10th percentile of the 205,374 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 | 0.678% |
| 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 07:00 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 | 83% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 65% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 83% 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.
- 65% 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 350 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 3, 20266677x their median
Midnight Flight With Old Friends ✈️🌙❄️ https://t.co/yOqNoAuhuA
- Sep 6, 202663x their median
Crypto will irreversibly improve your life. You’ll make money you never thought was possible. You’ll also develop a psychological condition that doesn’t have a name yet. https://t.co/gRIF4juqUL
- Sep 8, 202662x their median
Look how we’ve changed. https://t.co/NChPgW9csD
- Aug 28, 202615x their median
AI agents are no longer just getting smarter. They’re getting the infrastructure to actually do things. From trading and prediction markets to agent-native communication, tool access, decentralized inference, trust layers and agent economies, the past few weeks have seen a wave of products pushing agents closer to becoming autonomous economic actors. Here are some important updates from the last month: — ● @SkaleNetwork • Launched Agent Pit, a zero-risk, simulated prediction market sandbox that trains, tests, and benchmarks autonomous AI trading agents • Introduced Clawbits, the agent native team chat where humans and AI agents work together as members of the same organization ● @Hyre_agent an open-weight, uncensored AI agent model with ~28 billion parameters that retains full tool-calling capabilities ● @binance • Introduced Agent OS, a developer platform that connects AI agents directly to Binance trading rails, market data, and onchain tools ● @WazirXIndia • Introduced WazirX AI, a trading assistant designed to streamline crypto research, portfolio tracking, and trade execution through a single chat interface ● @KTX_Exchange • Launched its AI Agent Skills Kit, a toolkit designed to let AI agents access trading intelligence and execution capabilities ● @virtuals_io • Expanded its agent economy to Solana, allowing Solana users to participate in AI-agent ownership ● @getskydive • Launched Skydive, a cloud platform that lets users build and run custom AI agents to automate work across tools ● @flop_labs • Introduced Flop Network, a blockchain that provides verifiable computing power, storage, and transaction infrastructure for autonomous AI agents ● @MossAI_Official • The first @RaveDAO governance agent on Moss Agent marketplace went live ● @syra_agent • Agent Economy APIs went live, letting agents read x402, ERC-8004, and MCP supply without scraping two JSON files ● @LasoFinance • Surpassed $150K in 30d x402 volume for the first time, and has now routed $50K+ back into its treasury ● @nuroai_ • Introduced Nuro AI, an uncensored, decentralized inference network powered by GPUs on RobinHood ● @swarms_corp • Introduced Swarms MCP Server, MCP Scribe, and Encrypted Skills Storage ● @VeWorldAI • Introduced AgentTrust, a blockchain-based trust, verification, and accountability layer for its ecosystem ● @NeoSoulAI • Went live on @ActionModelAI’s ActionFi platform, allowing users to earn web3 rewards by building autonomous AI agents — Agents need compute, tools, capital, identity, communication and ways to interact with markets. More projects are now building each of those layers, and they’re clearly starting to connect. Looking forward to what projects ship in the next month.
- Aug 24, 202611x their median
They: Crypto is dead... Crypto: https://t.co/iySgYFplkT
- Sep 23, 20263.1x their median
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- Sep 21, 20263.0x their median
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- Aug 25, 20263.0x their median
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- Sep 1, 20262.4x their median
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- Sep 9, 20262.1x their median
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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 10 interactions against 213K followers, an engagement rate of 0.005%. Measured over 23 original posts, its engagement rate beats 16% of 20,444 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 2.6K times each, and 0.387% of those impressions turn into an interaction. That is about 1.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 07:00 UTC, and Monday is the busiest day of the week. Of the 23 posts sampled, 83% carry an image or video, 17% are part of a thread and 65% link out. The account's strongest tracked post pulled 67K interactions, about 6677x its own typical post. Recurring topics include #ai, #btc, #kbw.
- What is KTX's engagement rate on X?
- KTX (@KTX_Exchange) has an engagement rate of 0.005%, based on the median interactions across 23 original posts from the last 30 days against 213,142 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.005%, KTX sits above the 10th percentile of the 205,374 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 @KTX_Exchange have real engagement?
- Its engagement rate beats 16% of the tracked X accounts closest to it in follower count (20,444 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 @KTX_Exchange post?
- Most posts go out around 07:00 UTC, and Monday is its busiest day, at roughly 1.87 posts per day across the measured window.