Deepcon
Get the most accurate context for coding agents
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I 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 Context7Results 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-benchService: https://deepcon.aiBuilt this because I needed it. Would love feedback!
HN · launched Nov 6, 2025 · 7 upvotes (top 62%) · 0 views
Niche: llm optimization tools · 127 launches, 9 in the last 7 days ▲ +50% · Explore this niche →
Category and tags
- Horizontal
- Search & retrieval
- Developer
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 127 launches in llm optimization tools →
Could you build this?
Partial The MCP integration and token delivery are standard, but continuously crawling, parsing, chunking, and indexing documentation across 10,000+ libraries with high accuracy requires a dedicated crawler fleet and vector/hybrid search pipeline.
What it would actually take: Building Deepcon requires an automated web scraping pipeline (e.g., Playwright/Puppeteer workers) that monitors thousands of documentation sites for updates, extracts clean Markdown/code, and removes site boilerplate. The retrieval backend requires a hybrid search pipeline (dense embeddings via vector DB + sparse BM25/reranking) and query decomposition logic to select precise snippets without exceeding agent token budgets.
Discussion
2 comments analyzed.
Concerns raised: Value proposition unclear
Feature requests: YouTube video demonstrating the product
Competitors
Other products that read as similar to this one : 501 launches clear the similarity bar, closest 8 shown.
Attention rank: #307 of 502 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 2 days after the earliest competitor.
- A Context Registry for AI coding agents · hn · 2026-09-03 · 9 upvotes · similarity 0.60
- UltraContext · hn · 2026-01-21 · 21 upvotes · similarity 0.51
- ContextPool · ph · 2026-04-13 · 179 upvotes · similarity 0.51
- Context Gateway · hn · 2026-03-13 · 97 upvotes · similarity 0.50
- Claude Code Infinite Flow Toolkit · ph · 2026-11-01 · 1 upvotes · similarity 0.49
- Deep Work Plan · ph · 2026-09-14 · 6 upvotes · similarity 0.47
- Context Mode · hn · 2026-02-25 · 84 upvotes · similarity 0.47
- GoatedContext · ph · 2026-10-08 · 2 upvotes · similarity 0.46
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