Reddit stats

r/website subreddit stats

Posts, comments, unique posters, link rates, and activity patterns from the last month, updated daily.

Updated . Reporting period: Sep 28, 2026–Oct 28, 2026 (UTC).

From September 28, 2026 to October 28, 2026, 2,435 users on r/website made 1,050 posts and 6,003 comments, or about 34 posts/day and 195 comments/day. The subreddit averaged 5.7 comments per post; 37.0% of posts and 8.4% of comments contained links. Its Health Score was 34.5/100, meaning unique posters divided by total posts and comments. The top 1% of users produced 4.0% of posts and 45.6% of comments. Activity is measured in UTC: the most active hour was 16:00 (1.3x avg), the most active day was Saturday (1.1x avg), and normalized weekend volume was 1.04x weekday volume.

Compare activity across top subreddits

Posts/month
1,050
Posts/day
34
Comments/month
6,003
Comments/day
195
Posts with links
37.0%
Comments with links
8.4%
Comments per post
5.7
Unique posters
2,435
Health Score
34.5/100
Unique posters divided by total posts and comments.
Top 1% user posts
4.0%
Share of posts made by the most active 1% of users.
Top 1% user comments
45.6%
Share of comments made by the most active 1% of users.
Most active hour
16:00 (1.3x avg)
Based on average activity per hour in UTC.
Most active day
Saturday (1.1x avg)
Based on average activity per weekday in UTC.
Weekend vs weekday
1.04x
Weekend daily volume divided by weekday daily volume, normalized by day in UTC.

Daily activity in r/website

Daily totals combine posts and comments, grouped by UTC date. The lighter final bar shows a partial day through Oct 28 at 19:21 UTC.

Activity by day and hour

Each square is one hour, shown in UTC.

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The heatmap shows when people post and comment, not when a post is most likely to get clicks or upvotes. Our Reddit posting-time analysis explains how to use activity patterns when planning a post.

Subreddits similar to r/website

Discover related Reddit communities by the people who comment in both. These recommendations compare seven days of public comment activity, using a random sample of up to 50,000 commenters for large communities.

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