Silan: Monster Girl Master!

愛の勇者 · 2026 · $8.99 · Action · deal grade C

Measured on 2026-09-24 04:29 UTC, 12 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

• Estimated net residual revenue: $1.4k to $2.1k per month
• Opportunity: $1.7k per month at x1.00 dormancy
• Estimated lifetime owners: 2.4k
• 96% positive across 73 reviews · 23.0 reviews/month

Why it's flagged

• Developer active, last post 2 months ago

Analyst notes (AI-assisted)

Note written 2026-09-13; the live figures above take precedence over any numbers in it.

A turn-based monster-girl collector with exploration-focused dungeon design, released in early 2026 by an indie Japanese developer.

Silan shows solid engagement metrics: nearly 96% positive sentiment across 71 reviews, consistent monthly residuals in the mid-four-figures, and a 100% retention rate among active players. The title's mechanical depth (asymmetric stats, status effects, difficulty scaling) and discovery-forward map design generate organic replay value and word-of-mouth. However, the game is dormant from a commercial standpoint (no discounts in four years, minimal dev communication), occupies a niche genre with limited mainstream crossover appeal, and carries a two-thirds free-copy user base that suggests weak conversion. This is a quiet earner suitable for patient catalog acquisition or selective publishing expansion in Asian markets where sentiment skews heavily (38 Chinese reviews vs. 9 English). Most realistic play: acquisition.

• Risk: Monster-girl collector genre is narrow and culturally specific; mainstream Western audiences remain limited despite positive reviews.
• Risk: Two-thirds of library copies are free acquisitions, indicating weak price perception or heavy key-site distribution that may suppress future monetization.
• Risk: Developer has posted only three times in the past year and shipped no updates or discounts in 48 months; revival or live-service expansion would require full reactivation.

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