Foundry: a Markdown-first CMS written in Go
Hi HN! I've been building a CMS called Foundry, brought together from multiple smaller private projects as well as greenfield code. The short version is: it's a CMS written in Go with a focus on markdown content, a simple hook-based plugin model, themes, archetypes, preview flows, and a clean authoring/developer experience. I started working on it because I wanted something that was more powerful than Hugo for a few of my websites, without having to resort to dangling onto a database. What seems different about it, at least to me, is that I'm trying to keep the system small in concept:…
Foundry: a Markdown-first CMS written in Go launched on March 27, 2026 with 31 votes, #775 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
Foundry is a markdown-based CMS written in Go that combines the simplicity of static site generators with more advanced features. It supports themes, archetypes, preview workflows, and a hook-based plugin system while avoiding the complexity of database dependencies. Designed for developers and content creators, Foundry prioritizes straightforward authoring and development experiences with content stored locally on disk, making it suitable for websites where users want more power than Hugo without additional infrastructure overhead.
written from the facts on this page · September 2026
From the sources
A Markdown-first CMS written in Go with themes, plugins, and an integrated admin UI - sphireinc/Foundry
In the maker’s words, at launch
Hi HN! I've been building a CMS called Foundry, brought together from multiple smaller private projects as well as greenfield code. The short version is: it's a CMS written in Go with a focus on markdown content, a simple hook-based plugin model, themes, archetypes, preview flows, and a clean authoring/developer…
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Hey HN! We're building an open-source CMS designed to help creators with every part of the content production pipeline. We're showing our tiny first step: A tool designed to take in a Twitter username and produce an "identity card" based on it. We expect to use an approach similar to [Constitutional AI] with an explicit focus on repeatability, testability, and verification of an "identity card." We think this approach could be used to create finetuning examples for training changes, or serve as inference time insight for LLMs, or most likely a combination of the two. The tooling we're…
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