Shibainu - VR Katana Simulator

Hound Games

Released
Jul 11, 2022
Platforms
Last updated
Wishlist on SteamAdd it on the Steam store page. Opens in a new tab.
Latest player count
0
View player history
Positive reviews
0 total reviews
Steam hub followers
View follower history
United States store
$11.99
Compare regional prices

Shibainu - VR Katana Simulator Steam player count

Loading chart…
24-hour peak
0
All-time recorded peak
0
Tracking since

Twitch

0 viewers · 0 channels · Data may be outdated

Streams & history

Kick

No stream history yet.

Streams & history

ShibaInu is a virtual reality (VR) Katana simulator. This game mainly focuses on proper Katana handling, physics interactions and cutting mechanics. Precise and controlled cuts are performed on Tatamis (traditional Japanese floor mat) rolled into a cylindrical shape.

Price history

All prices
Recorded price history in the selected store currency
Date observedRegionFinal priceRegular priceDiscount
US · USD$11.99$11.99

Recent updates

All updates
  1. Developer post

    Shibainu Game development update September 2025

    Hello there everyone! It has been a while since the last announcement. I am still here, and I am still working on the project. Although I have had a couple of rough years, and development has been slow, I have finally reached a point where I can share some progress with you. Firs

  2. Developer post

    Shibainu VR Katana Simulator Development Update

    Hello everyone, I wanted to give you all an update on the development of Shibainu. I know many of you have been waiting for more updates, and I apologize for the delays. I am happy to report that the work is well underway and making great progress. One of the main goals for the n

  3. Developer post

    Performance and Language update

    Version 0.4.6 New Added localization for Spanish and Japanese. Modified Disabled AA Upsampling for FSR 2.0 due to crashing on some systems. Changed VFX, position and rotation of menu pointer. Bug Fixes Overall performance improvements. Overall improvements for cut detection.