🔍 MIN-Hash

Locality Sensitive Hashing, Jaccard Similarity, Duplicate Detection, Document Clustering

Crawling a billion web pages in just over 24 hours, in 2025
andrewkchan.dev·2d·
Discuss: Hacker News, r/programming
⚡Redis Internals
Billions of Edges per Second with Postgres
onesparse.com·3d·
Discuss: Hacker News
🗜️Graph Compression
A Wide Reduction Trick (2022)
words.filippo.io·2d·
Discuss: Lobsters, Hacker News, r/programming
🌳Archive Merkle Trees
My favorite use-case for AI is writing logs
newsletter.vickiboykis.com·1d·
Discuss: Lobsters, Hacker News
🌳Incremental Parsing
RAG at the Crossroads - Mid-2025 Reflections on AI’s Incremental Evolution | RAGFlow
ragflow.io·1d·
Discuss: Hacker News, r/LocalLLaMA
🌀Brotli Internals
maxsim-cpu: Maximising Maxsim Efficiency
mixedbread.com·4d·
Discuss: Hacker News
🌊Streaming Algorithms
Unraveling the Biomarker Prospects of High-Altitude Diseases: Insights from Biomolecular Event Network Constructed using Text Mining
arxiv.org·3d
📈Mutual Information
Show HN: I built an SDK for building an AI RAG app with Supabase and pgvector
github.com·2d·
Discuss: Hacker News
🌀Brotli Internals
Python Fundamentals: case
dev.to·2d·
Discuss: DEV
✅Format Verification
Waiting is worth it and can be improved with predictions
arxiv.org·1d
📡Information theory
Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
arxiv.org·1d
📊Learned Metrics
Day 28/100: List Comprehensions in Python
dev.to·1d·
Discuss: DEV
📝Concrete Syntax
Partial decidability protocol for the Wang tiling problem from statistical mechanics and chaotic mapping
arxiv.org·1d
🎯Performance Proofs
Context Engineering for AI Agents: Key Lessons from Manus
dev.to·4h·
Discuss: DEV
🏗️Compiler Archaeology
Imbalanced Regression Pipeline Recommendation
arxiv.org·2d
⚖️Feed Ranking
Advanced PDF Optimization Techniques - 1752828
dev.to·1d·
Discuss: DEV
📸PNG Optimization
Spatial Lifting for Dense Prediction
arxiv.org·4d
🧠Machine Learning
On the Limitations of Large Language Models (LLMs): False Attribution
arxiv.org·1d
📝ABNF Extensions
Mastering Dimensionality Reduction: A Comprehensive Guide to PCA, t-SNE, UMAP, and Autoencoders
dev.to·2d·
Discuss: DEV
📐Vector Dimensionality
C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images
arxiv.org·3d
🌀Fractal Compression