Streaming Insights for Partners

Clarity in a Noisy Market

Nobody else focuses on why a game is a bad fit for streamers and their community. We do.

Official IGDB data partner
Powered by Twitch API data
Explanations using OpenAI

How StreamGist Works

All Games

All games entering a funnel and filtered for streamer selection

Stream-Fit Rejection Intelligence

We help streamers find the right games with live data and algorithms, applying clear filters to sort and categorize every title.

As creators save, skip, and avoid games, we capture those choices at scale to reveal not just what’s trending, but what’s being rejected and why.

Combined with public trends, these insights guide streamers toward better strategies, help agencies shape campaigns, and support studios in building better games.

The Gist of Our Streaming Intelligence

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.

Contact Us to Request a Demo

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