Show HN: We simulated 9,297 Texans to explore what undecided voters think

Category: ai-ml

Tags: llm, simulation, politics, data-driven, interactive

Score: 6.0/10 (Innovation: 7, Technical: 6, Documentation: 3, Utility: 5)

This project simulates a population of 9,297 Texans using a combination of real polling, census data, and LLM-generated personas to explore the reasoning of undecided voters in a Senate race. It is interesting because it attempts to address known biases in LLM-based political simulation by grounding personas in quantitative models and real data, offering a novel interactive tool for understanding voter sentiment beyond simple polls.

Target audience: political analysts, researchers, journalists, and civic technologists

Repository: https://texas-midterms.theorea.ai

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