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IMSCARED

Developer Ivan Zanotti's MyMadnessWorksPublisher Ivan Zanotti's MyMadnessWorks

"I need a Heart in order to open it"

Top Sellers#7,200New

Updated Oct 18, 2026.

Wishlist RankNot ranked

Updated Oct 18, 2026.

Store
Developer benchmark

Metadata synced: Oct 19, 2026 · Not queued

Prices & bundle history

Steam ↗$3.99Checked
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews4,02894.71201588877854% positive
Recorded bundles2Checked · older than 24h

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 18, 2026#7,200-
Oct 13, 2026#7,190-
Oct 12, 2026#8,788-
Oct 11, 2026#7,577-
Oct 10, 2026#8,290-
Oct 7, 2026#9,030-
Oct 6, 2026#8,286-
Oct 4, 2026#9,022-

Data Coverage

What SteamFueled currently has for this app.

Store metadata
Synced Oct 19, 2026
Available
Reviews
4,028 reviews
Available
Tags
23 tags synced
Available
Links
2 public links
Available
Current players
0 players, updated Jul 20, 2026
Available
Top Sellers
Rank #7,200
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
3,496
Review rating
Very Positive
Weighted score
92.4%
Current players
0
Achievements
11
Metacritic
Not synced
Required age
Not listed

Snapshot Details

Source context for the latest complete public rank snapshots.

Top Sellers
#7,200
New
Previous - - Updated Oct 18, 2026
Snapshot size: 9,049 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 18, 2026
Snapshot size: 5,260 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.