
No-brainer Heroes 挂机吧!勇者
小团团工作室 · 2019-11-29
AdventureCasualIndieRPGSimulationStrategy
Modes: Single player · Perspectives: Side view
Releases: Nov 29, 2019 (PC (Microsoft Windows))
No-brainer Heroes is a pixel style semi-idle RPG game. As a lord, you need to run your town, recruit your heroes, defeat level monsters, solve random events, collect powerful treasures, and finally defeat evil dragons.
No-brainer Heroes 挂机吧!勇者 is an Adventure, Casual, Indie, RPG game released in 2019, priced at $9.99, with an estimated 200,000 .. 500,000 owners and a Mostly Positive review sentiment (74% of 1705 reviews).
9 players in-game as of 2026-10-14 13:00 UTC (census sample)
Health check
- · 9 players in-game at the last census sample.
- · 20 reviews in the last 8 weeks (~3/week).
- · Review velocity up 5% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (169 reviews).
- · Top 10% of 28,739 Adventure games in the census by review count.
Health tier since 2026-08-31
Review-multiple estimate from 1,705 total reviews — how this is computed.
Review momentum
Players online
Price history
Completion
- · 85.8% of players earned Hoshino Prairie
- · 55.7% of players earned Kill Blue dragon I
- · 34.2% of players earned Occupy stronghold
Global achievement rates from Steam.
Details
4 supported languages: Simplified Chinese, Traditional Chinese, English, Japanese
Post-launch support: 1 DLC released, first 2020-01-15 (Steam store data)
Player tags
RPGIdlerIndieCasualClickerStrategyAdventureSimulationPixel Graphics
Census log
- 2019-07-01First review activity on record (week of 2019-07-01).
- 2019-12-01Biggest review week on record: 169 reviews (week of 2019-12-01).
- 2026-10-02Highest concurrent player count the census has recorded: 16 (2026-10-02).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Star Control®: OriginsSurvivalistForce of NatureWeapon Shop FantasyAncient CitiesDungeon Of Dragon KnightDawn of ManSuper Seducer 2 - Advanced Seduction Tactics
Similarity via IGDB.