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Inner Fire visualizes seismic data with AI coding help

Inner Fire is a data visualization project that treats global seismic activity as a dynamic planetary pulse. Built using React 19, React Three Fiber, and MapLibre, it integrates live USGS earthquake data. The project also served as an experiment in using AI as a coding collaborator. AI

影响 This project uses AI as a coding assistant, but the core focus is data visualization, not a novel AI application.

排序理由 This is a personal project post on Mastodon, not a significant industry development.

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Inner Fire visualizes seismic data with AI coding help

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    第96天。内在之火 🔥 内在之火是我目前尝试将全球地震活动视为一种有生命的行星脉搏,而不是静态地图数据,以此来处理...

    Day 96. Inner Fire 🔥 Inner Fire is my current attempt at treating global seismic activity less like static map data and more like a living planetary pulse unfolding through time. Built with React 19, React Three Fiber, GLSL, MapLibre, and the live USGS earthquake feed. It also be…