Our Methodology
Transparency is vital in statistics. Here is exactly how we collect, scrub and process our metrics to guarantee precision. We built this platform from the ground up for massive scale.
High-Frequency Crawling
Our backend engines ping the raw APIs of each network on a strict 3-minute interval. This aggressive schedule guarantees that viewer counts are rarely stale. Heavy analytical queries run asynchronously every 60 minutes to keep the site lightning fast.
Deduplication
Numerous performers broadcast on multiple platforms simultaneously. Our algorithm actively filters out dead streams and merges cross-platform activity to prevent inflated metrics. Ghost traffic and disconnected sessions are automatically pruned.
LKGS Caching
Delivering massive data sets instantly, we utilize advanced in-memory caching (LKGS - Last Known Good State). During network outages, the platform gracefully falls back to the last verified snapshot, ensuring 100% uptime. Direct database reads are strictly minimized to preserve bandwidth.
What historical data do we log?
Although we prioritize live data, we store rolling hourly snapshots for a month. This is used to calculate 24-hour traffic trend charts, all-time viewership records, and average session durations. Data older than 30 days is automatically purged to ensure optimal query speeds.