ResidualPlaybeta Open the radar

Bean and Nothingness

RBOR Games · 2021 · $11.99 · Casual · deal grade B

Measured on 2026-09-25 21:10 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: $170 to $255 per month
  • Opportunity: $350 per month at x1.65 dormancy
  • Estimated lifetime owners: 8.5k
  • 99% positive across 224 reviews · 2.8 reviews/month

Why it's flagged

  • Developer silent for 20 months
  • Studio quiet across its whole catalog
  • Store page localized in only 1 language(s)
  • Last discounted 3 months ago, 6 sales in the last 12 months

Analyst notes (AI-assisted)

Note written 2026-09-20; the live figures above take precedence over any numbers in it.

Bean and Nothingness is a minimalist puzzle game where players manipulate abstract objects to solve increasingly complex spatial logic challenges.

This title sits in an unusual quiet zone: it has achieved exceptional player satisfaction (98%+ positive) and sustained residual revenue at a modest monthly clip, yet operates with zero studio visibility for nearly 20 months. The core appeal is genuine, players describe it as addictive and well-paced puzzle design. For a small publisher or a studio seeking a low-risk, high-quality puzzle IP with loyal community trust, acquisition or publishing stewardship could unlock growth via focused marketing and modest DLC expansion without heavy platform investment. Most realistic play: acquisition.

  • Risk: No recent developer updates; unclear whether codebase is well-documented or maintainable for porting, mod tools, or platform expansion.
  • Risk: Extremely low concurrent player base (2 now, 6 in peak 30d) suggests player acquisition has stalled despite strong reviews; viral or organic growth appears exhausted.
  • Risk: Single-title studio with fading status and no public activity in 19+ months raises questions about founder availability, IP clarity, and deal structure.

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