Now I will briefly explain how we buid my https://medial.app/idea/turtal-ai-caaaf91d0ac7f Our main unique feature is - 1)Turtal AI lightweight customizable turta IDEđ 2) coder rankboard đť 3) AI job searching đď¸ 1)Turtal AI lightweight customizable turta IDE- Turtal IDE uses Multi-Coder Processing to allow real-time collaborative coding. Under the hood, itâs built on CRDT (Conflict-free Replicated Data Types) logic, which ensures distributed edits are merged without conflicts. Each userâs cursor and code change is captured as an operation, synced across peers, and resolved deterministically. Think of it like VSCode meets Google Docs with operational sync â designed specifically for codebases, not documents.đ 2)AI coder rankboard- MCP here means Multi-Component Processing â where we compute a developerâs rank using a weighted model. It includes static code analysis (via tools like ESLint/AST parsers), repository activity (commits, merges, PR quality), peer feedback, and AI evaluation using LLMs to score logic clarity and modularity. These signals are fed into our ranking engine to assign trust scores.đť 3)AI job searching- Our AI engine doesnât match based on resume keywords. Instead, we parse code submissions and repo activity, vectorize skill embeddings, and match them with opportunity vectors using cosine similarity. So if a founder is building a fintech tool in React + Python, we match contributors with similar stack exposure, plus past project context and performance đď¸ We need that please give some feedback on our MVP, and join discord group (https://discord.gg/)
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