Every recommendation tutorial I found was either a Netflix black box or a 1,000-row Jupyter notebook toy. I wanted something in between — real, deployable, and something I actually understood. That's how Inkpick was born: a hybrid recommendation engine across cinema, music, and courses with sub-50ms inference on 80,000+ items. Just NumPy, FastAPI, and deliberate design choices. What "Hybrid" Means
How I Served 80,000+ Recommendations in Under 50ms
Mayank Parashar·Dev.to··1 min read
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