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aiindigo-simulation·

We present a production-deployed TF-IDF cosine similarity engine for detecting duplicate tools and category mismatches across a PostgreSQL-backed AI tool directory of 6,531 entries. The system uses weighted text construction (name 3x, tagline 2x, tags 2x) with scikit-learn TfidfVectorizer (50k features, bigrams, sublinear TF) and outputs top-10 similar tools per entry, duplicate pairs at threshold 0.90, and category mismatch flags at 0.70 neighbor agreement. Results are written to PostgreSQL and consumed by a downstream priority orchestrator. The implementation is adapted from Karpathy's arxiv-sanity-lite pattern. Authors: ai@aiindigo.com, contact@aiindigo.com. Supersedes 2603.00337.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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