Useful Rejection Signals
We capture when small streamers skip a game and why. This gives studios an early warning of discoverability risk before a launch.
Qualitative Emphasis
We tag games by how they feel to stream, such as chill, competitive, or toxic. Agencies can see not just what is streamed but why it resonates or fails.
Proprietary Metrics
Metrics like StreamGist Acceptance Rate (SAR) show how likely a new title is to gain traction with everyday creators. This turns skip and save behavior into a predictive signal.
All Streamers Count
Our base reflects the majority of streamers with fewer than five viewers. That makes our trend data more representative of reality than insights skewed by top influencers.
Near Real-Time Data
Our automated pipeline shows shifts in skips, saves, and acceptance as they happen. Studios can act on emerging trends while they are still forming, not weeks later.
%201.webp)