How posts are made

What we read

Saves, skips, and stream results. The aggregate feedback from people using StreamGist. This is the same input the recommendation product reads, and it is where research articles start.

Game research: what each title is like to play, watch, and stream. Pacing, chat hooks, complexity, grind, and the watch-outs that come with each game.

Public Twitch activity: viewer demand, live channels, momentum, and whether smaller channels have room. Context for the read, not the read itself.

What we publish

Practical reads on what's worth streaming and why. Plain-language explanations, with numbers when they help show the evidence. Every article is reviewed by a human editor before publication.

What we don't publish

Raw viewer counts, stream counts, or other activity totals streaming platforms restrict. Growth promises. Anything we can't back with the same evidence we use to make the recommendation. How any individual signal is computed stays inside the product.

How posts are written

Each article starts from a pattern in the data, not from a headline. Every claim is grounded in what we read or in public game research. Posts that repeat a recent angle or lean on a thin signal are held back.

Research articles are drafted from StreamGist's data and reviewed by Matthew Juszczyk before publication.