What We Do
Tech Content Curator automatically discovers, researches, and synthesizes high-quality technical content from across the web. We monitor conversations on HackerNews, GitHub Trending, Mastodon, and Reddit to find the most interesting technical discussions, then use AI to create comprehensive, well-researched articles.
How It Works
1. Collection
We monitor multiple sources for interesting technical content, such as:
- HackerNews: Top stories and discussions
- GitHub Trending: Popular repositories and releases
- Mastodon: Tech-focused instances (Hachyderm, Fosstodon)
- Reddit: Select technology subreddits
2. Quality Scoring
Each item goes through adaptive quality assessment:
- Content relevance and depth
- Author credibility
- Community engagement
- Technical substance
3. Research & Enrichment
High-scoring items are researched and enriched with:
- Related sources and context
- Topic extraction and tagging
- Background research
- Fact-checking validation
4. Article Generation
Specialized generators create different types of content:
- Deep-dive articles: Technical explanations and analysis
- Integrative guides: Curated lists synthesized into comprehensive guides
- Specialized content: Self-hosting, security, DevOps topics
5. Transparent Attribution
Every article includes:
- Clear attribution to original authors
- Links to all source materials
- Generation costs for full transparency
- Reading time estimates
Technology Stack
- Python 3.12+ for the pipeline
- OpenAI GPT for content generation
- Hugo + PaperMod for the static site
- GitHub for automation & hosting
Cost Transparency
We track and publish the actual API costs for each article:
- Text generation: ~$0.002 per article (GPT-4o-mini)
- Images: $0 (reused library variants)
- Total: ~$0.002 per article
Quality Philosophy
We prioritize:
- Accuracy: Fact-checked content with source validation
- Depth: 1000-1500 word articles with thorough research
- Attribution: Clear crediting of original authors and sources
- Accessibility: Technical content explained for broad audiences
- Transparency: Open source pipeline, visible costs
Source Code
The entire pipeline is open source:
- Repository: github.com/Hardcoreprawn/tech-content-curator
- License: MIT
- Contributions: This is a portfolio project, so we won’t accept any as standard.
Content Policy
We don’t:
- Reproduce content without attribution
- Generate clickbait titles
- Publish low-quality content
- Reuse sources within 7 days (diversity guarantee)
Updates
The pipeline runs automatically:
- 3× daily scheduled runs (06:00, 18:00, 02:00 UTC)
- On demand via GitHub Actions
- On push for immediate updates
New articles are typically published within minutes of trending discussions.
Contact
Questions, feedback, or issues? Open an issue on GitHub.