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Uncracked City, detective game where you question LLM suspects that lie

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To give you some context on the project. I'm a solo founder and I use AI heavily in my work. The idea came from wanting players to discover cities. Each city has its own history, so every case is set in a real city with real public places. The crime and the people are on other hand invented. The part that I care most is the playable aspect of the game, a model plays the detective and must solve the case before it goes live.As of today: it's free on Android, the iOS version is still waiting to be reviewed by Apple. It's available in six popular languages, but adding more languages is just a matter of time and demand.My long term vision if it takes off: weekly cases, private parties like a team-building escape game, an MCP so a game master can build their own scenario from ChatGPT or Claude, and maybe tourism offices since players travel the world.

HN · launched Nov 3, 2026 · 127 upvotes (top 8%) · 0 views

Niche: ai interactive fiction and rpg platforms · 63 launches, 5 in the last 7 days ▼ -55% · Explore this niche →

Category and tags
  • Media & entertainment
  • Content generation
  • B2C
  • AI-native
  • Hobby / open-source project

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More like this: all 63 launches in ai interactive fiction and rpg platforms →

Could you build this?

Partial The app shell, dialogue UI, and LLM-driven suspect conversations are vibe-codeable, but the cases need carefully written mysteries with consistent clues, lies, and real-place details across many cities and six languages.

What it would actually take: The stack is a mobile app (React Native or Flutter) with an LLM backend for suspect dialogue, speech-to-text and text-to-speech, and a structured case-state engine that tracks which clues and statements are true. The hard parts are the case-writing pipeline, which needs a human writer or editor to keep lies, clues, and timelines consistent, and the real-world place data tied to each city. Quality multilingual voice and game-balance testing also need a designer and playtesting.

Discussion

20 comments analyzed.

Competitors mentioned: Where in the World Is Carmen Sandiego

Concerns raised: LLM suspects leak hidden information, AI-generated artwork and writing feel like slop, Replies may be AI-generated, Device ID collection privacy, Trailer quality

Feature requests: On-device LLM instead of datacenter, Web version, Disclose that suspects are LLM-played, Fix returning to locations

Competitors

Other products that read as similar to this one : 162 launches clear the similarity bar, closest 8 shown.

Attention rank: #12 of 163 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 370 days after the earliest competitor.

Related data

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