Gram, a vector search engine I built in C++
37
SCORE
Gram is a vector search engine implemented in C++. It enables similarity search over vector embeddings, suitable for use in machine learning and information retrieval workflows. The project is open source and available on GitHub.
Sources (1)
1 PTS
Score Breakdown
Traction
raw 1.00 · weight 35%
3.5pts
Novelty
0 days old · weight 20%
20.0pts
Source diversity
1 source · weight 10%
3.3pts
AI quality
raw 28.00 · weight 35%
9.8pts
Reimplements existing vector search (Faiss, Annoy, etc.) with zero traction, no differentiation, and minimal description of unique value.
Final Score37/100
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