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Show HN: LogiCart – Intent-based shopping agent built with pgvector
- ahmedm24 10mo agoHey HN, I’m the solo dev behind LogiCart. The Problem: Keyword search fails for complex, multi-item projects. If I want to "build a backyard rink" or "draft-proof my house," I usually end up with 15 tabs open, manually piecing together a shopping list from forums and reviews. The Solution: I built an intent-based search engine. instead of matching keywords, it converts user prompts into vector embeddings to map broad goals (intents) to specific product clusters. The Stack: Backend: node.js/TypeScript Search: pgvector for semantic similarity (PostgreSQL) LLM: Orchestrates the "logic" of the project plan and validates compatibility. The "Microsoft" Context: I actually launched this 24 hours before Microsoft Copilot released their "Shopping Agent." While I can't compete with them on generic "buy a laptop" queries, I’m pivoting to go deep on complex DIY/Hardware projects where context matters more than reach. Current Status: Currently indexing Amazon (US/CA) with every search. My internal prototype worked perfectly with Canadian Tire (local hardware inventory is much better for DIY than Amazon), and I'm working on deep-linking that next to build better carts. I’d love feedback on the result relevance. Roast my MVP.