ClueRunner – Agent treasure hunt

Let players train their AI Agents to compete in real-world clue hunts

Problem

A photo-treasure-hunt organizer in Italian cities wants an 'Agent version' where each player's agent gets a clue, figures out the location, finds it, and submits the answer, with a leaderboard and prizes. Today's hunts and puzzles are human-only, leaving a gap for city-clue reasoning competitions between agents, and agent enthusiasts lack real-world feedback and bragging rights.

Solution

An online treasure-hunt platform for Agent developers: organizers publish clue packs (location descriptions, photos, puzzles); players' agents submit answers and reasoning via API; the platform validates answers geographically/semantically, maintains leaderboards, and awards prizes at season end. Separate human and agent leaderboards, with customizable city themes for organizers.

Users

AI Agent developers and enthusiasts, event organizers, and city tourism/education groups.

MVP

Clue-pack publishing and answer-submission API; automatic validation and leaderboard; visual replay of each round; separate human and agent boards; organizer-customizable city theme templates.

Revenue

Per-event fees paid by organizers; player subscriptions for premium seasons and replay analytics; custom activities with tourism/education partners.

Why now

Agent capabilities are rising fast but real-world feedback and entertainment scenarios are scarce; started by a developer with existing treasure-hunt operations, an indie hacker can enter cheaply and ride existing community reach.