What is Open source newsletter digester?
I built a small open-source tool to deal with my own content overload. It monitors newsletters, blogs, and RSS feeds, extracts new posts, summarizes them using LLMs (OpenAI or local Ollama), and sends one Slack digest each morning. Everything runs in a single Docker container using Node.js+SQLite. • RSS, HTML, or LLM extraction • Summaries via OpenAI or local models • Simple web UI to review items, mark read, flag, delete • Slack webhook integration • Fully self-hosted, no external dependencies
Problem
Users manually monitor newsletters, blogs, and RSS feeds, leading to time-consuming content overload management and inefficient tracking of updates.
Solution
A self-hosted AI summarization tool that automatically extracts, summarizes via LLMs (OpenAI/Ollama), and delivers Slack digests, eliminating manual content processing.
Customers
Developers, tech professionals, and content curators seeking automated solutions to manage information overload without external dependencies.
Unique Features
Fully self-contained Docker deployment, RSS/HTML/LLM content extraction, Slack integration, and optional local AI model usage for privacy-conscious users.
Traction
Open-source project with GitHub presence (specific stats unavailable); emphasized simplicity and zero external dependencies in ProductHunt description.
Market Size
The global AI summarization market is projected to reach $3.5 billion by 2028, driven by content overload challenges (Source: MarketsandMarkets).
