// summary
AI Daily Digest is an automated tool that scrapes top technical blogs from Hacker News and uses AI for multi-dimensional scoring and summary generation. It supports quick article filtering via command line or interactive interface and automatically summarizes macro trends in the tech circle. The project is written in pure TypeScript and supports Gemini as well as various OpenAI-compatible API models.
// technical analysis
AI Daily Digest is an automated technical blog aggregation tool running on the Bun runtime, designed to filter high-quality content from 90 top-tier Hacker News technical sources. The project employs a five-step processing pipeline that transforms massive amounts of information into structured daily digests through AI-driven multi-dimensional scoring, categorization, and summary generation. Its core design philosophy is minimalism, utilizing a single-file TypeScript script with zero dependencies, and supporting automatic fallback switching between Gemini and OpenAI-compatible APIs to ensure the tool's stability and scalability.
// key highlights
// use cases
// getting started
Developers need to install the Bun runtime and prepare a Gemini or OpenAI-compatible API Key. Users can initiate an interactive guide by entering /digest via OpenCode Skill, or directly execute npx -y bun scripts/digest.ts from the command line and configure the relevant environment variables to generate the daily digest.