ResidualPlaybeta Open the radar

how to kill a fly [ H2KAF ]

Radtel Collective · 2026 · $9.99 · Adventure · deal grade A

Measured on 2026-09-24 05:31 UTC, 20 days ago. The whole catalog is re-measured daily; a game that just launched can move fast between passes.

  • Estimated net residual revenue: $3.1k to $4.7k per month
  • Opportunity: $5.0k per month at x1.30 dormancy
  • Estimated lifetime owners: 2.9k
  • 98% positive across 87 reviews · 46.3 reviews/month

Why it's flagged

  • Developer active, last post 1 months ago
  • Store page localized in only 1 language(s)

Analyst notes (AI-assisted)

Note written 2026-09-03; the live figures above take precedence over any numbers in it.

A short-form dystopian cyberpunk walking simulator where you collect and recombine NPC dialogue to solve puzzles and infiltrate a dehumanizing corporate world.

H2KAF is a stylistically accomplished indie title with exceptional critical reception (98%+ positive) and a devoted micro-community that continues to engage months post-release. The core mechanic is genuinely novel: dialogue-as-inventory puzzles in a richly written world. Residuals are modest but stable; the real opportunity lies in licensing the game's unique narrative voice and dialogue system to publishers seeking unconventional IP for adaptation, or in acquiring the title as a portfolio piece for a studio betting on experimental gameplay. The single-developer origin and zero DLC suggest untapped expansion potential. Most realistic play: licensing.

  • Risk: Current player base is extremely small (single digits concurrent) and niche; mainstream recovery unlikely without significant marketing push or platform exposure.
  • Risk: Dialogue-heavy parsing systems are brittle: any localization or accessibility expansion will require substantial engineering rework.
  • Risk: Game is designed for single, completionist playthroughs; replayability hinges on achievement hunting, which may cap long-term engagement for new cohorts.

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