Show HN: Deepcon – Get the most accurate context for coding agents
deepcon.aiI got frustrated watching Claude Code fail at using modern APIs (ask it about GPT-5 and it says it doesn't exist). Existing solutions like Context7 dump thousands of tokens of irrelevant docs into context. So I built DeepCon.
How it works:
- Crawled 10,000+ official docs using agentic browser automation and structured them hierarchically
- Query decomposer breaks down requests, searches in parallel, then merges only relevant context
- Returns just what's needed: 2.4x fewer tokens than Context7
Results on our benchmark:
DeepCon achieved 90% accuracy vs Context7's 65% on real-world tasks with modern AI frameworks. Without any MCP context, Sonnet 4.5 scored 0%.
It's an MCP tool. You can just plug it into Claude Code/Cursor and suddenly they understand the latest libraries and APIs.
GitHub benchmark: https://github.com/opactorai/context-bench
Service: https://deepcon.ai
Built this because I needed it. Would love feedback! the value proposition isn't very clear. Maybe you could record a youtube video showing the difference it makes. Indeed! capturing it in video would definitely help. although videos aren’t supported on HN... Do you know of any good references?