Femtazio

Aerisetta · 2025 · $9.99 · Action · deal grade B

Measured on 2026-10-03 03:47 UTC, 3 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

• Estimated net residual revenue: $613 to $919 per month
• Opportunity: $995 per month at x1.30 dormancy
• Estimated lifetime owners: 12.3k
• 82% positive across 319 reviews · 9.1 reviews/month

Why it's flagged

• Developer active, last post 4 months ago
• Studio active elsewhere (2 titles tracked), so this one may welcome a partner
• Store page localized in only 1 language(s)
• Last discounted 0 months ago, 10 sales in the last 12 months

Analyst notes (AI-assisted)

Note written 2026-09-05; the live figures above take precedence over any numbers in it.

A 2025 visual-novel beat-em-up hybrid with AI-generated art, blending light combat with adult-oriented narrative scenes.

Femtazio sits in a narrow niche: dormant but stable, with solid four-figure monthly residuals and an 82% positive rate despite visible technical debt. The title attracts a self-aware, tolerant community that overlooks art-generation shortcuts and repetitive assets in exchange for thematic coherence and cheap entry. For a publisher with stomach for adult content and a small live-ops budget, this is a low-risk catalog hold with meaningful upside if core friction (crashing, missing exit function, repetition) is resolved. For acquisition, the calculus hinges on whether the developer's two-title catalog and small owner base justify the regulatory and brand-adjacent friction. Most realistic play: publishing.

• Risk: Multiple reports of crashes, sound-card conflicts on exit, and missing quit function suggest unstable build state that could trigger refund spikes or platform review flags.
• Risk: Adult content + AI-generated assets invite platform policy scrutiny and content-ID disputes if the title gains visibility; current quiet status may be accidental regulatory advantage.
• Risk: Heavy reliance on visual appeal in context of AI art makes the title vulnerable to art-style trends and regulatory sentiment shifts around synthetic content labeling.

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