PDR_AI_v2 and LaunchStack
These two tools are ecosystem siblings, representing what appear to be identical or near-identical projects under different repository names, both serving as an "AI-powered StartUp Accelerator Engine" built with Next.js, LangChain, PostgreSQL, and pgvector.
About PDR_AI_v2
Deodat-Lawson/PDR_AI_v2
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.
About LaunchStack
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.
Implements a three-layer modular architecture (Services, Tools, Physical) with domain-partitioned data isolation enforced via Clerk RBAC, enabling vertical business modules (Marketing, Legal, Onboarding) to share reusable AI tools like RAG, web search, and entity extraction. Supports importing knowledge from Notion, Google Workspace, Slack, and GitHub via standardized adapters, with domain-specific document analysis that auto-detects missing artifacts (contracts, financials, compliance docs) and extracts actionable insights using chain-of-verification and supervisor agent validation. Built on LangChain agent guardrails (PII filtering, grounding checks, confidence gating) with optional observability via Inngest and LangSmith, plus social media content generation pipelines targeting Reddit, X, LinkedIn, and Bluesky.
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