Parastore
Simulate real store with LLM-powered synthetic consumer
Votes
83
Comments
7
What this means
+100%Launching in a 100% WoW growing category.
Developer Tools had 196 launches this week vs 0 last.
18Founder Conviction Index: 18 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
23%
today
Projected end-of-day votes
83range 62–112
Trajectory
stable
Vote pace holding steady.
About
Parastore is an open-source (MIT) retail simulation where LLM-powered synthetic consumers walk through a 3D virtual store, browse shelves, and make purchase decisions. Each consumer follows one of 12 behavioral patterns with grammar-constrained actions, randomized context (mood, budget, company), and impulse-buy logic triggered by what they see along their route. Validated against real POS data with 0.955 Spearman correlation. Python/FastAPI + React/Three.js. Any LLM backend.
AI Summary
Parastore is an open-source retail simulation tool that utilizes LLM-powered synthetic consumers to navigate a 3D virtual store and make purchase decisions based on predefined behavioral patterns. It is built with Python/FastAPI and React/Three.js, and has been validated against real POS data, achieving a Spearman correlation of 0.955.
Vote & comment velocity
Scores
Velocity3.7
Vote pace vs avg
Momentum3.7
Sustained over 6h
Virality7.7
Spread × engagement
Engagement16.9
Comments per vote