Steam player rating
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0 reviews
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Gameplay Trailer
RU
Freshly Folded: Laundry Shop
Run your own dry cleaning shop in a charming, cozy small town. Wash, dry, and press clothes to perfection, serve quirky customers, invest in new machines and upgrades for faster service, and stay organized to carefully complete each order. Mend rips, remove stains, and more.
- Release date
- Dec 16, 2026
- Platforms
- Windows
Price unavailable
Key details
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No recent measurement
System requirements
Windows · from the game’s Steam page
Minimum
- 64-разрядные процессор и операционная система
- ОС
- Windows 7 or later
- Процессор
- Intel Pentium CPU G860
- Оперативная память
- 1 GB ОЗУ
- Видеокарта
- NVIDIA GeForce 840M
- Место на диске
- 1 GB
- Дополнительно
- 64 Bit Only
Recommended
- 64-разрядные процессор и операционная система
macOS
Minimum
- ОС
- Mac OS X 10.6 or above
- Процессор
- Apple Silicon M1 (M2 and M3) or Intel Core M
- Оперативная память
- 1 GB ОЗУ
- Видеокарта
- 1280x720 minimum resolution, OpenGL 2.0 Support, and recommended dedicated graphics card with 128 MB of RAM
- Место на диске
- 1 GB
- Звуковая карта
- OpenAL Compatible Sound Card
- Дополнительно
- M1, M2, M3 Silicon Mac & ARM Supported
Linux
Minimum
- ОС
- Ubuntu 12.04, SteamOS (Proton-8 Recommended)
- Процессор
- 1.7 GHz Processor
- Оперативная память
- 1 GB ОЗУ
- Видеокарта
- NVIDIA GeForce 8 or higher, ATI X1600 or higher, or Intel HD 3000 or higher
- Место на диске
- 1 GB
- Звуковая карта
- OpenAL Compatible Sound Card
- Дополнительно
- Proton-8 Recommended
The requirements are shown as Steam publishes them, in Russian.
EXPECTATION INTELLIGENCE
How anticipated is this game?
This is not an estimated wishlist count: the index uses the public Steam Popular Wishlist rank and verifiable signals.
limited dataconfidence 0%
Wishlist rank movementhigher on the chart means closer to first place
History will appear after several measurements
- Interest has not been measured: absence from the sample does not imply low popularity
Steam does not publish actual wishlist totals, so ggpick shows the observed rank and model confidence.
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