For the complete documentation index, see llms.txt. This page is also available as Markdown.

X Analytics

X Analytics gives you deep posting statistics for any X (Twitter) account directly inside Polymarket — no browsing, no external tools. Built specifically for tweet count markets.

Open it via the Analytics icon in the right-side panel navigation. The panel has two tabs: Feed and Analytics.

X Analytics Panel

X Analytics Panel 2


What the Panel Shows

Posts in Window

Real-time tracking of posts within the market's resolution period:

  • Posts in window — how many posts have been made so far in the counting period

  • Time to close — how much time remains in the window

  • Progress bar — visual fill of the window

  • Avg posts/day — current average rate within the active window

Projection

Statistical projection of where the final count will land:

Metric
Description

Projected (by close)

Estimated total posts when the market resolves

Weekday rate

Average posts/day on Mon–Fri

Weekend rate

Average posts/day on Sat–Sun

vs Linear

Difference between the statistical projection and a simple linear extrapolation

Note: statistics-based estimate, not trading advice.


Tweet History

Historical posting data for the account, with a 7d / 30d selector:

Metric
Description

Daily avg

Average posts per day over the selected period

Range

Min–max posts in a single day

Weekday

Average posts/day on Mon–Fri

Weekend

Average posts/day on Sat–Sun

Includes a line chart showing daily post count over time — lets you spot spikes, slowdowns, and whether recent activity is above or below historical baseline.


When Does X Post? (UTC)

Posting time analysis with All / Weekday / Weekend selector:

Metric
Description

Most active hour

Hour with the highest post count (e.g., 07:00 — 78 posts)

Quietest hour

Hour with the lowest activity

Avg/hour

24h average across all hours

Bar chart by time of day — broken into NIGHT / MORNING / AFTERNOON / EVENING segments, showing the account's typical posting schedule across the full 24-hour cycle.


Avg Posts/Day by Weekday

Bar chart showing average daily post count for each day of the week (Mon–Sun) — reveals whether the account posts more on weekdays or weekends, and which specific days are the most active.

Example (@elonmusk): Mon 31.8 / Tue 15.4 / Wed 28.2 / Thu 25 / Fri 29.8 / Sat 32 / Sun 22.3


Weekly Totals

A week-by-week breakdown showing total posts per calendar week — helps identify trends (increasing activity, quiet periods, etc.) and spot outlier weeks.


Activity Heatmap

A GitHub-style calendar heatmap showing posting intensity by day, with a 7d / 14d / 30d selector.

  • Darker blue = more posts on that day

  • Light blue = below-average activity

  • Empty = no posts

The heatmap immediately shows consistency: does the account post every single day, or are there frequent gaps?


How to Use It

For tweet count markets (e.g., "Will @elonmusk post 100+ tweets May 8–15?"):

  1. Check Posts in window — how far is the current count from the target?

  2. Look at the Projection — does the statistical model put the final count above or below the threshold?

  3. Check the Weekly totals — are recent weeks running above or below the market's implied count?

  4. Look at the Posting time chart — if most posts happen in the morning (UTC) and the window closes at noon, most activity may already be in

For "will they post at all?" markets:

  1. Check the Activity heatmap — does this account ever go silent?

  2. Look at the Weekday/Weekend split — if the window falls over a weekend and the account typically posts less then, adjust your estimate


Feed Tab

Alongside the Analytics tab, the Feed tab shows the account's actual recent posts directly in the panel — so you can read the content without leaving Polymarket.


Markets Where This Panel Activates

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