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Super Hexagon

Developer Terry CavanaghPublisher Terry Cavanagh

Super Hexagon is a minimal action game by Terry Cavanagh, with music by Chipzel.

Top Sellers#3,512▲ 12

Previous #3,524 · Updated Oct 14, 2026.

Wishlist RankNot ranked

Updated Oct 14, 2026.

Store
Developer benchmark

Metadata synced: Oct 13, 2026 · Not queued

Prices & bundle history

Steam ↗$0.74Checked · older than 24h
GG official storesNot recordedNo cached observation
GG keyshopsNot recordedNo cached observation
Steam reviews25,15696.85959612020989% positive
Recorded bundles5Checked · 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 14, 2026#3,512-
Oct 13, 2026#3,524-
Aug 14, 2026#4,777-
Aug 8, 2026#7,866-

Data Coverage

What SteamFueled currently has for this app.

Store metadata
Synced Oct 13, 2026
Available
Reviews
25,156 reviews
Available
Tags
23 tags synced
Available
Links
3 public links
Available
Current players
0 players, updated Aug 11, 2026
Available
Top Sellers
Rank #3,512
Available
Wishlist Rank
Not in latest snapshot
Pending

Store Details

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

Platforms
macOS, Linux, Windows
Steam recommendations
18,405
Review rating
Overwhelmingly Positive
Weighted score
96.4%
Current players
0
Achievements
6
Metacritic
88
Required age
Not listed

Snapshot Details

Source context for the latest complete public rank snapshots.

Top Sellers
#3,512
▲ 12
Previous #3,524 - Updated Oct 14, 2026
Snapshot size: 8,971 rows.Steam public Top Sellers rank order from the latest complete SteamFueled snapshot.
Wishlist Rank
-
-
Previous - - Updated Oct 14, 2026
Snapshot size: 5,258 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.