Mamon King

LiTMUS Co., Ltd. · 2025 · $12.99 · Indie · deal grade B

Measured on 2026-10-05 14:49 UTC. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

Estimated net residual revenue: $301 to $451 per month
Opportunity: $489 per month at x1.30 dormancy
Estimated lifetime owners: 24.2k
90% positive across 613 reviews · 3.5 reviews/month

Why it's flagged

Developer active, last post 9 months ago
Store page localized in only 2 language(s)
Last discounted 0 months ago, 5 sales in the last 12 months

Analyst notes (AI-assisted)

Note written 2026-09-17; the live figures above take precedence over any numbers in it.

Mamon King is an indie monster-training sim inspired by classic 1990s creature-collection games, built around breeding, training and battling procedurally generated creatures.

Mamon King occupies a genuine nostalgia gap: Monster Rancher fans have waited decades for a spiritual successor, and this quiet indie title delivers exactly that at a consumer-friendly price point. The game carries solid residual velocity (mid-three figures monthly) and a 90% positive rating, but sits dormant in developer communication and faces a ceiling imposed by deliberate simplicity. For a publisher or studio seeking a proven IP candidate with existing goodwill and low acquisition friction, this is a defensible entry point, provided the acquirer can justify deeper content investment. Most realistic play: acquisition.

Risk: Direct comparisons to Monster Rancher create an unfavorable ceiling: players explicitly recommend the original over this title, limiting growth potential without significant mechanical differentiation.
Risk: Combat system lacks depth and player agency; reviews consistently cite repetitive optimal strategies, suggesting the core loop needs redesign rather than content addition.
Risk: Developer has posted only three times in the last year and has not discounted the title since launch, indicating low operational intensity or bandwidth for post-launch support.

This case as Markdown · Estimates carry ±30-50% error per title.