Deodat-Lawson/LaunchStack
AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
Launchstack helps teams efficiently manage, analyze, and extract insights from a wide range of documents like contracts, financial reports, and HR policies. You can upload various file types, including exports from Notion, Google Docs, Slack, and GitHub, and the system uses AI to answer questions, identify missing critical documents (like balance sheets or exhibits), and extract key details such as deadlines. This tool is ideal for startup teams, project managers, or department leads who need to quickly understand and act on complex document sets.
788 stars. Actively maintained with 39 commits in the last 30 days.
Use this if you need to quickly identify critical information, find missing documents, or get AI-powered insights from a large collection of business documents across different departments.
Not ideal if your primary need is simply basic document storage and retrieval without advanced AI analysis, predictive features, or cross-document insight extraction.
Stars
788
Forks
111
Language
JavaScript
License
MIT
Category
Last pushed
Mar 14, 2026
Commits (30d)
39
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