Kai engagement report
@KaiPlatform - 944K followers on X
Measured over 4 original posts from a 30-day window, last computed on August 27, 2026.
Engagement
Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 13 interactions against 944K followers, an engagement rate of 0.001%. Posts are seen about 11K times each, and 0.117% of those impressions turn into an interaction. That is about 1.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 25% link out. The account's strongest tracked post pulled 113 interactions, about 8.7x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 4 original posts from a 30-day window, last computed on August 27, 2026.
Where this sits in the catalog
At 0.001%, Kai sits below the 10th percentile of the 36,521 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.7% |
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 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Jun 8, 20268.7x their median
1/4 The wait is over! @KaiPlatform private sale on @Gems_Launchpad is now live. Early participants can now secure their allocation directly on the sale page: https://t.co/sAiTmdZDHb. ☑️Retail entry: Max allocation: up to $5,000 per user. Token price: $0.006 ☑️Strategic investors: From $50,000+ and up. 20% discount. Effective token price: $0.0048 ☑️Want a quick walkthrough on how to buy KAI? You can follow the step‑by‑step video guide here: https://t.co/QjgIvRxO7A
- May 19, 20263.9x their median
DOP's underlying infrastructure has been absorbed into Kai. This integration enhances our core layer, offering our users a more robust environment across all asset classes. https://t.co/hdl7PaBBW7
- May 8, 20263.6x their median
To solve the friction of modern finance, privacy cannot live in a vacuum. It must be fully absorbed into the financial execution layer itself. We are looking at a future where traditional currency and digital assets are managed from a unified base, without compromising on-chain confidentiality. We are preparing to expand the scope of what DOP technology powers. Details soon.
- May 3, 20263.1x their median
Fiat lives in traditional banks. Digital assets live on-chain. The bridge between them is slow, expensive, and entirely public. This fragmentation isn't just an inconvenience-it's a structural failure. True financial utility requires a unified infrastructure where assets move on command, without exposing your data. The next phase of execution is coming.
- May 7, 20262.4x their median
Only 14% of crypto companies in Europe successfully maintain bank accounts without later closures. The legacy financial system excludes digital asset participants by design. A new standard is necessary. One that unifies traditional fiat and digital assets into a single operational layer, secured by programmable privacy. Financial infrastructure needs to be re-engineered, not just adapted. Watch this space.
- May 4, 20262.3x their median
Data ownership was the first step. Capital execution is the next. Moving between traditional currency and digital assets shouldn't require routing through a web of fragmented middlemen. It must happen in a single, unified environment where your financial data remains yours.
- Jun 17, 20261.9x their median
Kai’s AI engine is an execution layer. To ensure absolute precision and capital safety, we are defining the Execution Pool: a strict framework of whitelisted operations the model can perform autonomously. Closed-loop actions, from basic balance queries to asset positioning, are being mapped directly at the protocol level. Understanding intent is the first step toward intelligent execution. Learn more @ https://t.co/sdn4YNHz6N
- Jul 23, 20261.8x their median
You have cash in a bank account earning nothing. You have digital assets in a wallet you cannot spend on a vendor invoice. That's idle capital. Not a portfolio problem. A rails problem. Kai keeps assets active across classes. Fiat, digital assets, and investments in one account, ready to move when the need arises. Buffer cash sitting in five separate accounts just to stay liquid is a symptom of fragmented infrastructure.
- Aug 19, 2026
Every finance team keeps a number in their head that they never write down. The buffer. It is the cash sitting in the operating account doing nothing, because something might need paying on short notice and nobody wants to be the person explaining why the money was somewhere else when it did. Multiply that by five accounts across five systems and the buffer stops being a precaution. It becomes a standing charge for the privilege of being ready. The same thing happens on the other side. Digital assets sit in a wallet, clearly worth something, and completely useless against a supplier invoice due Thursday. None of this is a portfolio problem. Nobody made a bad allocation call. The money is idle because the rails between the places it lives are slow enough that keeping it still is the rational choice. Kai is built as one platform where banking, digital assets, and investments sit together, so readiness does not have to be paid for five times over. Idle money is usually a design decision somebody else made on your behalf.
- Jul 25, 2026
Every time you move money between financial systems, you pay a settlement tax. Settlement lag. Gas fees. Slippage. Off-ramp costs. These aren't edge-case friction costs. They're built into how separate financial rails interact. Every transfer. Every conversion. Every cross-platform move. When banking, digital assets, and investments live in one account, you stop paying to bridge the gaps between them. The fees are the symptom. Fragmentation is the cause.
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 13 interactions against 944K followers, an engagement rate of 0.001%. Posts are seen about 11K times each, and 0.117% of those impressions turn into an interaction. That is about 1.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 25% link out. The account's strongest tracked post pulled 113 interactions, about 8.7x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Kai's engagement rate on X?
- Kai (@KaiPlatform) has an engagement rate of 0.001%, based on the median interactions across 4 original posts from the last 30 days against 943,811 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, Kai sits below the 10th percentile of the 36,521 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 @KaiPlatform have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @KaiPlatform post?
- Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 0.13 posts per day across the measured window.