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Show HN: LLM Newsletter Kit – Automate expert newsletters for $0.20/issue

hongyeon Monday, December 08, 2025

Hi HN,

I’m an archaeologist-turned-engineer. I switched careers to solve the "manual labor" problem of academic research through technology.

I built this toolkit to automate "Research Radar" (my cultural heritage newsletter). It currently maintains a 15% CTR with near-zero maintenance, costing just $0.20 per issue via optimized model usage.

My Design Philosophy: "Logic in code, reasoning in AI, connections in architecture."

I believe deterministic workflows belong in type-safe code, while intelligent analysis belongs to LLMs. This separation allows for advanced workflows (self-reflection loops, multi-step verification) that are often impossible in no-code tools.

Key Features:

- Type-First & DI-Based: Fully swappable providers (Crawling, Analysis, Generation).

- Bring Your Own Scraper: Inject Puppeteer, Cheerio, or AI parsers asynchronously. No lock-in.

- Production Ready: 100% test coverage, built-in observability, and TypeScript.

Links:

- Repo: https://github.com/kimhongyeon/llm-newsletter-kit-core

- Live Service: https://heripo.com/research-radar/subscribe

- Output Example: https://heripo.com/research-radar-newsletter-example.html

Summary
This repository provides a core kit for building a newsletter service using large language models (LLMs). It includes components for content generation, summarization, and customization, allowing developers to create personalized newsletters efficiently.
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