Cultivation Era [ IN DEV ]
A Roblox experience owned by Volcanic Era.
RacingENMartial ArtsRealm ProgressionCultivation
Description (written by the developer; not a statement by this register)
Cultivation Era Martial Arts Progression / Realm Game Rise to the top by training and advancing through realms! Seek rare skills and become a legend. Features: * Train to gain energy and reach new power levels. * Find manuals (Common to Mythical). * Reroll races for improved stats. Gear system coming soon. * Leaderboards for power levels and currency (Yuanbao). * Premium: +20% Qi gain. Events: Manuals appear randomly. Notifications show up in the chat. Controls (PC): * C: Train * X: Breakthrough * CTRL: Sprint Mobile: On-screen buttons for all actions. Development: Still in early stages. Maps, combat, and groups coming soon. Upcoming Features: * Clan system: Create your group. * New group lineage: 'Religious'. * Combat skills from Common to Mythical. Feedback: Join our Community to share ideas and report issues. Tags: Murim, Martial Arts, RPG, Manhwa, Manhua, Exploration, Combat, Realms, Training, Cultivation. Do not exploit, or you will be banned permanently.
Last updated by the developer 17 Jul 2026, 19:15 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 11 Aug 2026, 00:49 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.