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Learn Japanese To Survive! Kanji Combat

Developer Sleepy DuckPublisher RIVER CROW STUDIO

Learn Japanese kanji in this interactive role-playing game! No experience needed – start reading and writing in Japanese!

Top Sellers#8,244New

Updated Oct 22, 2026.

Wishlist RankNot ranked

Updated Oct 22, 2026.

Store
Developer benchmark

Metadata synced: Oct 23, 2026 · Not queued

Prices & bundle history

Steam ↗$8.99Checked
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews0Score not recorded
Recorded bundles4Checked

Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.

Bundle history & historical prices

View history on GG.deals ↗

Rank History

Recent appearances for this app across complete public snapshots.

CapturedTop SellersWishlist Rank
Oct 22, 2026#8,244-
Sep 2, 2026#8,331-
Aug 14, 2026#7,212-
Jul 14, 2026#8,418-
Jul 12, 2026#6,715-

Data Coverage

What SteamFueled currently has for this app.

Store metadata
Synced Oct 23, 2026
Available
Reviews
No review summary yet
Pending
Tags
14 tags synced
Available
Links
2 public links
Available
Current players
0 players, updated Oct 23, 2026
Available
Top Sellers
Rank #8,244
Available
Wishlist Rank
Not in latest snapshot
Pending

Store Details

Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.

Platforms
Windows
Steam recommendations
303
Review rating
Not synced
Weighted score
Not synced
Current players
0
Achievements
Not synced
Metacritic
Not synced
Required age
Not listed

Snapshot Details

Source context for the latest complete public rank snapshots.

Top Sellers
#8,244
New
Previous - - Updated Oct 22, 2026
Snapshot size: 8,960 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 22, 2026
Snapshot size: 5,330 rows.Steam public wishlist-rank order, not an exact private wishlist count.

Tags

Public Steam tags split by source. Store tags and genres are used more heavily for benchmark similarity than feature categories.