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SIMULACRA 3

Kaigan Games · 2022 · $9.99 · Indie · deal grade C

Measured on 2026-09-23 20:03 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: $178 to $267 per month
  • Opportunity: $289 per month at x1.30 dormancy
  • Estimated lifetime owners: 13.1k
  • 59% positive across 367 reviews · 3.6 reviews/month

Why it's flagged

  • Developer active, last post 11 months ago
  • Studio active elsewhere (2 titles tracked), so this one may welcome a partner
  • Store page localized in only 2 language(s)

Analyst notes (AI-assisted)

Note written 2026-09-21; the live figures above take precedence over any numbers in it.

SIMULACRA 3 is a narrative-driven horror mystery game where players investigate digital crime scenes through found-phone gameplay, completing the series from indie studio Kaigan Games.

SIMULACRA 3 sits in an awkward middle position: it's the weakest entry in an otherwise beloved trilogy (per player sentiment), yet it continues to generate modest residual revenue and maintains a passionate core audience. The title is a poor acquisition candidate due to its franchise anchor and mediocre recent reception, but it merits close watching as a potential revival or localization play if Kaigan commits to addressing the documented bugs and feature gaps players cite. Most realistic play: watch.

  • Risk: Sentiment has declined 11.7 points recently; the negative comparison to prior trilogy entries suggests this installment may have exhausted series goodwill without offering innovations to recapture lapsed players.
  • Risk: Multiple player reports cite unresolved bugs as of late 2026, nearly four years post-launch, indicating the development team may lack bandwidth or priority for quality-of-life fixes.
  • Risk: Russian localization gap (18.9% of review volume) and low review velocity (3.6/month) suggest the game has fallen out of active marketing and community engagement.

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