Rapid Content
Open-source content automation — one idea in, publish-ready posts out for LinkedIn, X, Threads, and long-form blogs.
Overview
Rapid Content is an open-source automation for producing quality content rapidly. Give it a topic or an angle and it returns publish-ready drafts for LinkedIn, X, Threads, and long-form blog posts — each written to the shape of its platform rather than the same paragraph reflowed four times.
What it does
- One idea, four native formats. A LinkedIn post breathes and builds to a hook. An X post is tight and quotable. Threads takes a looser, more conversational register. A blog post gets structure, headings, and depth. The pipeline knows the difference.
- Grounded, not hallucinated. Retrieval runs before generation, so claims arrive with citations instead of confident invention. That's the whole reason the pipeline exists — volume without grounding is just noise at scale.
- SEO-aware long form. Blog output is written around real search intent, with the headings and internal structure that actually get indexed.
- Open source, MIT licensed. The pipeline, prompts, and retrieval layer are all inspectable. If you don't like how a stage behaves, change that stage.
Why I built it
Content is the highest-leverage, lowest-joy task in running anything solo. The interesting part isn't the writing — it's the research, the angle, and the judgement about what's worth saying. So I automated the mechanical layer and kept a human at the top of it: the pipeline drafts, the human decides what ships.
Under the hood
A staged pipeline rather than one mega-prompt — research and retrieval, outline, platform-specific drafting, then a fact-and-citation pass. Each stage is separately inspectable and separately replaceable, which is what makes an open-source version actually worth forking.