Cogmind

Grid Sage Games · 2017 · $24.99 · Adventure · deal grade B

Measured on 2026-10-05 06:08 UTC. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

• Estimated net residual revenue: $1.1k to $1.6k per month
• Opportunity: $1.8k per month at x1.30 dormancy
• Estimated lifetime owners: 86.4k
• 96% positive across 2016 reviews · 10.1 reviews/month

Why it's flagged

• Developer active, last post 1 months ago
• Store page localized in only 1 language(s)
• Last discounted 0 months ago, 6 sales in the last 12 months

Analyst notes (AI-assisted)

Note written 2026-09-02; the live figures above take precedence over any numbers in it.

Cogmind is a sci-fi roguelike where you play as a rogue AI fighting for survival in a procedurally generated dystopia, blending tactical combat with resource scavenging and permadeath.

Cogmind occupies a rare niche: a deep, mechanically sophisticated roguelike with a devoted audience, sustained by the developer's active engagement and a 96% positive rating over a mid-sized player base. The title generates solid four-figure monthly residuals with minimal promotional overhead, making it interesting for publishers seeking stable catalog additions or for studios exploring how sustained, iterative development without live-service infrastructure maintains player retention. Its narrow mainstream footprint and single-developer studio structure limit immediate acquisition appeal, but the intellectual property and long tail trajectory warrant monitoring. Most realistic play: watch.

• Risk: Roguelike genre saturation and niche positioning means audience growth is likely capped; revival campaigns would face headwinds against established franchises (DCSS, CDDA, Caves of Qud).
• Risk: Single-developer operation creates continuity risk; Grid Sage Games' expertise in complex systems design is non-transferable, and handoff to a larger team could disrupt the iterative cadence that sustains community trust.
• Risk: Early Access status (despite near-complete feature set) may suppress mainstream visibility; conversion to full release could unlock passive interest but requires alignment on final milestone criteria.

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