Every meaningful product launch,
players and Twitch side by side.
Launchpad follows a title from its wishlist climb to its long tail. Concurrent players and Twitch viewers are sampled together from the first minute of launch, with the streamers who drove the audience and the reviews as they land.
The whole launch
From the wishlist climb to the long tail
Before launch
The Upcoming list ranks titles by Steam wishlist rank and followers, with the days left to launch: what is coming, and how much demand it carries.
Launch day
Sampling starts at the first minute: concurrent players and Twitch viewers every 15 minutes, in the same sweep, with reviews as they arrive and followers converted into players.
The long tail
Hourly after launch. Every day's peak is kept for the title's whole life, so retention reads against launch day at any point, and titles that go quiet move to an archive instead of disappearing.
Built for the people who read launches.
Twitch, not just Steam
Peak viewers and live channels for every game, and each day's streamers ranked by peak viewers: who drove the audience, and when.
Down to every sample
Click any day to see every sample behind its peak: players, Twitch viewers and Twitch streams.
The right comparison
Sort by age, followers, peak players or peak Twitch; filter by genre, tag or player mode; read any title over a week, a month, three months or its whole life.
Studio and store context
Developer, publisher, tags and a direct link to the Steam page on every title, and the same rows feed the Video Data Briefings.
Ask your own AI
Launchpad's data will also be reachable through MCP, so your team's AI can query the same curated data stack in plain language. See all data products
Open the board
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