
Love Ribbon
Developer Razzart VisualPublisher Razzart Visual
"Love Ribbon" is a yuri (girl x girl) visual novel about forbidden love between two sisters.
Top SellersNot ranked
Updated Oct 21, 2026.
Wishlist RankNot ranked
Updated Oct 21, 2026.
This app is not in the latest Top Sellers or Wishlist snapshots. It can still gain richer metadata from catalog or watchlist syncs.
Metadata synced: Oct 11, 2026 · Not queued
Prices & bundle history
Steam ↗$9.99Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews1,89091.21693121693121% positive
Recorded bundles0Checked · older than 24h
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 12, 2026 | #8,245 | - |
| Oct 11, 2026 | #8,234 | - |
| Sep 8, 2026 | #9,068 | - |
| Jul 14, 2026 | #8,783 | - |
Data Coverage
What SteamFueled currently has for this app.
Store metadata
Synced Oct 11, 2026
Reviews
1,890 reviews
Tags
19 tags synced
Links
2 public links
Current players
Waiting for player count sync
Top Sellers
Not in latest snapshot
Wishlist Rank
Not in latest snapshot
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Platforms
macOS, Linux, Windows
Steam recommendations
1,778
Review rating
Very Positive
Weighted score
87.6%
Current players
Not synced
Achievements
13
Metacritic
Not synced
Required age
Not listed
Snapshot Details
Source context for the latest complete public rank snapshots.
Top Sellers
-
-
Previous - - Updated Oct 21, 2026
Snapshot size: 8,871 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 21, 2026
Snapshot size: 5,321 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.