Poker Night at the Inventory

Skunkape Games · 2026 · $9.99 · Casual · deal grade A

Measured on 2026-09-25 23:34 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: $14.1k to $21.2k per month
Opportunity: $22.9k per month at x1.30 dormancy
Estimated lifetime owners: 326.0k
95% positive across 8627 reviews · 210.7 reviews/month

Why it's flagged

Developer active, last post 4 months ago
Studio active elsewhere (4 titles tracked), so this one may welcome a partner
Store page localized in only 1 language(s)
Last discounted 3 months ago, 2 sales in the last 12 months

Analyst notes (AI-assisted)

Note written 2026-08-27; the live figures above take precedence over any numbers in it.

A Texas Hold'em poker sim featuring video game characters in humorous dialogue, now revived by Skunkape Games after years of delisting.

Poker Night at the Inventory occupies a rare intersection: a teaching tool for casual poker learners with a devoted niche audience (94.9% positive sentiment), cult appeal rooted in character crossovers, and steady residual revenue despite minimal marketing spend. The game's core asset is not technical but cultural and social, yet it remains dormant relative to its upside. For a publisher seeking to unlock backlist value or a studio building a character-led IP strategy, this title warrants evaluation as either a content catalog addition or a platform for deeper franchise integrations. Most realistic play: revival.

Risk: Game includes characters from Team Fortress 2, Penny Arcade, Sam & Max, and Strongbad; rights may be scattered across Valve, Telltale (now LCG), and individual IP holders, complicating any re-release or merchandising expansion.
Risk: Single-player poker AI-focused design means no network effects or live-service path; growth ceiling is fixed to discovery and casual-play appeal.
Risk: Poker games are a niche genre; audience skews nostalgic or educational rather than trending, limiting mainstream upside.

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