ResidualPlaybeta Open the radar

How Much for the Body in the Freezer

Renka · 2026 · $1.99 · Indie · deal grade B

Measured on 2026-09-25 21:30 UTC, 10 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

  • Estimated net residual revenue: $624 to $935 per month
  • Opportunity: $1.2k per month at x1.60 dormancy
  • Estimated lifetime owners: 9.0k
  • 92% positive across 237 reviews · 46.7 reviews/month

Why it's flagged

  • No developer announcement on record, ever
  • Studio quiet across its whole catalog
  • Store page localized in only 4 language(s)

Analyst notes (AI-assisted)

Note written 2026-08-23; the live figures above take precedence over any numbers in it.

A short visual novel about a cryptic freezer scenario, created with AI-assisted art, priced at $1.99.

How Much for the Body in the Freezer occupies an unusual niche: a micro-priced narrative game with 93% positive sentiment, 215 reviews lifetime, and $1.18k/mo residual revenue despite zero current players and minimal marketing spend. The game's $4.4k lifetime net and tiny median playtime (0.68h) suggest it converts impulse buyers in bulk rather than builds a retained audience. The developer (Renka, 9 titles) appears to operate a portfolio model. This is a watch, not an acquisition: the IP is original, the tech footprint is minimal, but the AI-assisted creation process and paper-thin engagement raise questions about whether this title's brief viral moment (70 reviews/mo) can be revived or whether it's simply exhausted its addressable market at this price point and quality bar. Most realistic play: watch.

  • Risk: Zero concurrent players and 4 peak in last 30d suggest the game has saturated its niche audience; revival would require repositioning or new marketing hooks.
  • Risk: Heavy reliance on AI-assisted asset creation is flagged in player reviews as a point of friction, even among positive reviewers, signaling potential brand sensitivity.
  • Risk: No achievements, trading cards, or workshop features reduce engagement hooks and discoveryability on the platform.

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