Hugin
An AI-native content platform. Context-aware autocomplete, paraphrase, SEO, sentiment, image-gen.
- Role
- Solo build (full-stack + AI)
- Year
- 2024
- Practice
- Data
At a glance
- Starting point
- Modern writers face a paradox: produce more content faster, while ensuring accuracy, SEO alignment, tone control, and collaboration, all without breaking creative flow.
- What we built
- An AI-native content platform. Context-aware autocomplete, paraphrase, SEO, sentiment, image-gen.
- Stack
- Next.js + TypeScript, Go, AWS
An AI-native CMS that compresses idea-to-publish into a single, intelligent editor.
Problem
Modern writers face a paradox: produce more content faster, while ensuring accuracy, SEO alignment, tone control, and collaboration, all without breaking creative flow. Traditional workflows fragment across editors, research tools, keyword tools, image tools, Slack, Google Docs, and CMSes.
Hugin collapses all of it into a single, intelligent editor.
What it does
- Context-aware writing: auto-completion that aligns with paragraph intent and the established tone.
- Paraphrasing for clarity, tone-shift, and flow, plus native keyboard shortcuts that keep momentum.
- Inline research: pull in references, validate claims, explore related topics without leaving the editor.
- Keyword research and SEO positioning baked into the writing surface.
- Sentiment analysis to consciously shape how content feels, not just what it says.
- Contextual image generation, embedded directly into the article.
- Embeddable interactive reports and data viz for research-grade content.
- Sharing and multi-author collaboration in a single source of truth.
Architecture
Event-driven editor core: every action emits structured events through a custom emitter, so AI tools can react independently to the same action. Decoupled features, real-time responsiveness, and scalable complexity without slowing the editor.
Stack
- FRONTEND: Next.js + TypeScript
- BACKEND: Go (concurrency, performance, clean services)
- INFRA: AWS

