Dino Run DX
Developer PixeljamPublisher Akupara Games
DINOSAURS. PIXELS. PYROCLASTIC DOOM WALLS. Escape extinction in this colorful take on the classic prehistoric runner. Upgrade your raptor with new stats and cute hats, and then outrun the end of the world in endless, procedurally generated landscapes.
Updated Oct 23, 2026.
Updated Oct 23, 2026.
Metadata synced: Oct 21, 2026 · Not queued
Prices & bundle history
Cached US/USD prices; checkout prices may differ. Bundle history covers recorded observations and may be incomplete.
Bundle history & historical prices
GG historical low: official stores $0.77 · keyshops $0.37
- Fanatical - CoppaFeel! Charity Bundle ↗
- Green Man Gaming - The Akapura Collection ↗
- Fanatical - Build your own Nitro Bundle 3 ↗
- Fanatical - Build your own Nitro Bundle 2 ↗
- Daily Indie Game - Weekly Bundle 747 - POSITIVE
- Daily Indie Game - Weekly Bundle 477
- Fanatical - Dollar Discovery Bundle ↗
- Humble Yogscast Jingle Jam 2019 Bundle ↗
- Groupees - Remute XX Pixeljam ↗
- Go Go Bundle #24
- OtakuBundle - The Pixeljam Collection Bundle #1
- Bundle Stars - Dark Reboot Bundle ↗
- BundleStars - Pixeljam Bundle ↗
- Groupees – Ultimate Pixeljam Bundle
- BundleStars – Diamond Bundle
- Groupees Spotlight – Pixeljam Bundle
- Bundle Dragon - The Pixeljam Octology
- Green Light Bundle 1
- Indie Royale - The Summer Bundle
Rank History
Recent appearances for this app across complete public snapshots.
| Captured | Top Sellers | Wishlist Rank |
|---|---|---|
| Oct 20, 2026 | #7,298 | - |
| Sep 19, 2026 | #8,941 | - |
| Sep 15, 2026 | #7,955 | - |
| Sep 14, 2026 | #8,799 | - |
| Sep 13, 2026 | #6,844 | - |
| Sep 12, 2026 | #8,235 | - |
| Sep 11, 2026 | #8,309 | - |
| Sep 10, 2026 | #5,991 | - |
Data Coverage
What SteamFueled currently has for this app.
Store Details
Public Steam metadata captured from appdetails. Contact-specific fields stay backend-only.
Snapshot Details
Source context for the latest complete public rank snapshots.
Tags
Public Steam tags split by source. Store tags and genres are used more heavily for benchmark similarity than feature categories.