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One breakout title = 99.9% of a studio's traffic: what Roblox's own public API shows about "genre template" games

singularitystudiosdev 2026年08月12日 14:23 3 次阅读 来源:Dev.to

Roblox exposes game and group stats through public, unauthenticated endpoints — no login, no scraping tricks: GET https://games.roblox.com/v1/games?universeIds=<id>,<id>,... GET https://games.roblox.com/v2/groups/<groupId>/games?limit=50 I used them to pull the full public games list for a few independent creator groups that each ship multiple games in the same cheap-to-build "obby" template genre (think: dozens of studios building the same core traversal loop with a different skin). The question was simple: within one studio's own catalog, how concentrated is traffic in the single best title versus everything else they've shipped? The answer is the same shape every time: a small number of throwaway builds with near-zero traffic, and one outlier that accounts for nearly all of the studio's lifetime visits. Not "most games do okay and one does great" — more like one game is the studio, traffic-wise, and the rest are lottery tickets that didn't hit. As a sanity check against numbers that are already public knowledge (no anonymity concern), I ran the same script against Uplift Games' group (id 295182): $ python3 fetch_group_stats.py 295182 Group 295182: 371 published experiment(s) Total lifetime visits across all games: 44,412,921,224 Top title alone: 44,377,094,324 visits (99.9% of the group's total traffic) Visit-count distribution: 0-10K: 355 game(s) 10K-500K: 12 game(s) 500K-5M: 2 game(s) 5M-50M: 1 game(s) > 50M: 1 game ( s ) One title (Adopt Me) is 99.9% of that group's entire lifetime traffic across 371 shipped experiments. Same power-law concentration as the smaller, anonymized groups in the full writeup — just at a much larger scale. Why this is more than a curiosity : if you're building in a genre like this, the template itself is clearly not the moat — everyone in it ships near-identical mechanics. The variance between a 45-visit build and a 700M-visit build using the same template looks like it's mostly about timing and whatever the discovery algorithm rewar

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