unbuilt
AI GeneratedGaming

DungeonLootOptimizer: RPG Drop Rate Simulator

A web app that lets indie game developers test and visualize loot drop rates, rarity distributions, and player satisfaction metrics before shipping their RPG.

Opportunity
High
Competitors
2apps
Difficulty
Easy / Standard CRUD + charting with Claude for loot math suggestions; can be built in 3-4 weeks with React + backend simulation engine
Market
Small / Growing indie game market (~50k active developers targeting this problem
How would you build this?
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Key insight: Game balance is the #1 reason indie RPGs fail post-launch, but developers won't invest in tools until they see visualized proof that their loot feel is broken—this is that proof-building tool.

The Problem

Indie RPG developers spend weeks manually tweaking loot tables and drop rates through trial-and-error playtesting, often shipping with unsatisfying progression curves that frustrate players. There's no quick way to simulate thousands of hours of gameplay and see how players will actually feel about drops without expensive user testing.

Target Audience

Solo and small-team indie game developers (1-5 people) building RPGs, roguelikes, and loot-based games on Unity/Unreal who want to avoid post-launch balance disasters.

Why Now?

AI can now suggest optimal loot curves based on game design principles; vibe coders can prototype complex simulators faster; indie game funding is at an all-time high, making devs more willing to buy small tools.

What's Missing

Existing solutions either require coding (spreadsheets) or are overkill expensive plugins ($500+/seat). No simple, affordable web tool exists for quick drop-rate sandboxing and A/B testing.

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