Independent subreddit tracker

Track subreddit activity.
Understand what changed.

Oscylo turns public community activity into readable time series—weekly visitors, contributions, contributors, and membership—measured at the community level, never the person.

Activity is not a straight line

See a year of community activity unfold, week by week.

Follow 52 complete weeks of r/gaming contributions and compare major changes with the timing of public gaming events.

52 complete weeks

r/gaming weekly contributions

58.7Kweek of Aug 4, 2025
126.8K102.7K78.6K54.6K30.5KThe Game AwardsSummer showcase weekAug 25Nov 25Feb 26May 26Jul 26

Public subreddit tracker

Compare activity across ten large communities.

Inspect a full year of fixed weekly totals through Jul 27, 2026, then compare them with rolling public readings observed through Aug 14, 2026.

Metric
Range
Weekly contributions36.6K+29.9% from prior week
Selected week
Jul 27, 2026
One-year average
40.2K
Members
67.6M
r/funnyPublic posts plus comments in a complete seven-day window.
Fixed weeks · UTC · Full r/funny profile
Weekly contributions for r/funny, Aug 4, 2025 through Jul 27, 202663.5K53.6K43.7K33.7K23.8KAug 4 ’25Nov 3 ’25Feb 2 ’26Apr 27 ’26Jul 27 ’26
Weekly visitor signal10 observations · Jul 24Aug 13 · +3.2%
4.5MAug 13, 2026
4.7M4.4M4.1MJul 24Jul 30Aug 6Aug 13

Past-seven-day unique reach based on a 28-day rolling average.

Weekly visitors · 28-day average
4.5M
Observed Aug 13, 2026
Rolling weekly contributions
42.1K
Observed Aug 12, 2026
Members
67.6M
Observed Aug 14, 2026

What the data is useful for

Three ways to read
a community.

01 / Community research

Separate audience size from active participation.

A member count can rise while contribution volume or contributor breadth falls. Oscylo keeps those measures separate so the difference stays visible.

02 / Trend analysis

Compare a spike with the community’s own history.

Consistent daily, weekly, and monthly windows make it easier to distinguish an event-driven jump from a durable change in activity.

03 / Market intelligence

Read community behavior beside company performance.

The public-company research page tracks Reddit’s reported audience, stickiness, monetization, and financial metrics from primary filings.

Category analysis

Group the communities
that move together.

Oscylo categories organize related communities into one comparable signal. The public AI example reads attention across products, open development, research, learning, culture, and critique, so a shift in one corner of the field is visible against the rest.

Open the AI category analysis
01General AI
02Model ecosystems
03Creative tools
04Local + open source

Independent public-company research

Reddit’s reported company metrics, on one timeline.

Review DAUq, WAUq, DAUq-to-WAUq stickiness, revenue, ARPU, geography, login state, profitability, and cash flow across fourteen reported quarters. Before each print, Oscylo files its own forecast — and scores it publicly after.

Reported audience by geographyDaily active uniques
Millions · quarterly average
805020Q1 '23Q1 '24Q1 '25Q2 '26805020Q1 '23Q4 '24Q2 '26

Method and limits

Comparable windows.
Explicit caveats.

Fixed-week histories and rolling public readings answer different questions, so Oscylo labels them separately. Every chart states its coverage window, aggregation method, and most recent observation.