Team Train Frontier

Profile updated Aug 2026

This profile is public because indielist links Team Train Frontier to 1 published, evidence-backed indie game. That portfolio evidence does not classify the publisher itself as independent and is not an official statement from the publisher.

Team Train Frontier is a game publisher with an evidence-backed indie game portfolio on indielist. indielist tracks 1 title on its label, together holding 235 Steam reviews. Its biggest title by Steam reviews is Train Frontier Classic, with 235 reviews (2017). It has published games from 1 studio, including Team Train Frontier. For a developer deciding whether to pitch, the first thing to weigh is portfolio fit: which genres and what scale of project Team Train Frontier has actually shipped and supported to launch, all of which indielist lays out on this page alongside its studio relationships and signing history. This profile sits inside indielist's relationship graph of studios, publishers, and games, so studios can judge fit before pitching and investors can trace the label's signing activity across genres and years, the kind of publisher to studio to game connections that are slow to reconstruct from storefront pages alone.

Team Train Frontier has published work from 1 studio (Team Train Frontier), and indielist records each pairing as an edge in its publisher-to-studio-to-game graph. An investor can use that to trace which developers a label has backed and how its roster has grown release by release, while a developer can check whether the publisher already works with teams of a similar size or genre before sending a pitch, which is a strong hint about whether a cold approach is worth the effort. Each linked studio page in turn lists that studio's full portfolio and its other publisher relationships, so the network around Team Train Frontier can be explored outward in either direction rather than read as a flat, disconnected list, and the same graph powers the "similar publishers" suggestions that help a developer build a realistic shortlist instead of pitching one name at a time.

AI-readable version: /team-train-frontier.md