PolyRanger engagement report
@polyrangercom - 696K followers on X
Measured over 8 original posts from a 30-day window, last computed on September 28, 2026.
Engagement
A typical post picks up 6 interactions against 696K followers, an engagement rate of 0.001%. Measured over 8 original posts, its engagement rate beats 10% 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 5.5K times each, and 0.1% of those impressions turn into an interaction. That is about 0.787% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 19 interactions, about 3.2x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on September 28, 2026.
Compared with accounts its own size
PolyRanger's engagement rate beats 10% 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 7% 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%, PolyRanger sits below 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 09:00 UTC, and Tuesday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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 328 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
- Jul 16, 20263.2x their median
The market with the most noise is not always the one with the best edge. https://t.co/6U8j5lPxng
- Jul 9, 20263.2x their median
A forecast says what you think will happen. A tradable opinion asks whether the current probability is worth taking. That difference defines the trade. https://t.co/51CcwjhTOJ
- Aug 27, 20262.8x their median
Prediction markets reward those who know how to read the market before putting capital behind a position. Price history, liquidity, order book depth, and market signals can reveal what is happening beneath the surface, turning a simple prediction into a calculated decision. PolyRanger puts those tools in one place, giving every trade more context.
- Jul 23, 20262.8x their median
You spot an event worth trading. Then the real work starts. Check the platform. Compare the price elsewhere. Check liquidity. Switch tabs again. By the time you're ready to act, the setup already shifted. That gap between finding an opportunity and trading it is where most of the edge disappears. PolyRanger closes that gap. Discovery, comparison, and execution, all in one place.
- Jul 2, 20262.7x their median
Public opinion used to be read through polls, media cycles, and social feeds. Prediction markets add a stronger signal: capital-weighted expectations. https://t.co/ym93AAiDPS
- Jun 25, 20262.7x their median
Information is no longer just consumed. It is executed. A headline, a data release, a product launch, or a shift in sentiment now moves directly into probability, pricing, and positioning. https://t.co/LZF56pQz7U
- Jun 18, 20262.5x their median
A prediction market is only as strong as its resolution logic. If the outcome cannot be verified clearly, traders are not pricing an event - they are pricing ambiguity. https://t.co/sPs1vRQLzx
- Aug 14, 20262.2x their median
Every narrative starts the same way. Quiet, then suddenly everywhere. Volume follows it in. New markets open, liquidity shows up, everyone's trading the same story at once. Then the narrative matures. The outcome becomes obvious, or people just move on. Volume drains out just as fast as it came in. A market tied to a fading narrative isn't less real. It's just less interesting to trade. Knowing where a story sits in that cycle beats knowing the story itself.
- Sep 3, 20262.0x their median
The same outcome can trade at different prices across prediction markets. That gap is where arbitrage opportunities appear. The challenge? Prices move fast. By the time you switch between platforms, the gap may already be gone. PolyRanger puts the markets side by side, so you can spot the difference before it closes.
- Aug 7, 20262.0x their median
Not every big bet moves the market. Not every market move comes from a big bet. A whale can drop a large position into a deep, liquid market and barely shift the price. Meanwhile, a handful of smaller trades hitting a thin market can swing probability hard. Size alone doesn't tell you much. What matters is size relative to depth. Watch the reaction, not the trade size. That's where the real story is. Track it across markets on PolyRanger
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 6 interactions against 696K followers, an engagement rate of 0.001%. Measured over 8 original posts, its engagement rate beats 10% 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 5.5K times each, and 0.1% of those impressions turn into an interaction. That is about 0.787% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 19 interactions, about 3.2x its own typical post.
- What is PolyRanger's engagement rate on X?
- PolyRanger (@polyrangercom) has an engagement rate of 0.001%, based on the median interactions across 8 original posts from the last 30 days against 696,034 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, PolyRanger sits below 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 @polyrangercom have real engagement?
- Its engagement rate beats 10% 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 @polyrangercom post?
- Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 0.27 posts per day across the measured window.