
Offspring Fling!
Kyle Pulver · 2012-05-11
Modes: Single player · Perspectives: Side view
Releases: Mar 30, 2012 (PC (Microsoft Windows)), Mar 30, 2012 (Mac), Mar 30, 2012 (Linux)
Offspring Fling is a game about a poor forest creature that has misplaced all of her children.
Offspring Fling! is an Adventure, Indie game released in 2012, priced at $7.99, with an estimated 200,000 .. 500,000 owners and Very Positive (82% of 596 reviews) sentiment.
1 players in-game as of 2026-10-14 14:00 UTC (census sample)
Offspring Fling is puzzle-platform game developed by Kyle Pulver and released on March 30, 2012 for Microsoft Windows, Mac OS, and Linux. The game was received favorably by various critics.
Health check
- · 1 players in-game at the last census sample.
- · 4 reviews in the last 8 weeks (~1/week).
- · Review velocity up 300% vs the prior 8 weeks.
- · Top 18% of 28,763 Adventure games in the census by review count.
Health tier since 2026-08-31
Review-multiple estimate from 596 total reviews — how this is computed.
All-time low: $1.59 at Humble Store (2014-05-14) · bundled 3×via IsThereAnyDeal
Review momentum
Players online
Price history
Attention
Completion
- · 44.2% of players earned Starting an Adventure!
- · 1.2% of players earned All Clear
- · 1.2% of players earned Crown of Motherhood
Global achievement rates from Steam.
Details
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 8,938 | 1% | 10 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Player tags
2DCuteIndieRetroActionPuzzleAdventurePlatformerTime AttackLevel Editor
Census log
- 2014-08-01First review activity on record (week of 2014-08-01).
- 2026-08-12Highest concurrent player count the census has recorded: 2 (2026-08-12).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Unclaimed WorldENDLESS Legend™Little NightmaresMomodora: Reverie Under The MoonlightFigmentCelestePikunikuSemblance
Similarity via IGDB.