Announcing the New NDSA Coordinating Committee Members for 2026-2029
ndsa.org·23h
🏛️Nordic Archives
Brands! Brands! Brands!
thomasrigby.com·19h
🔌Operating system internals
vault - save links, notes, and images. private & open source.
getvault.pages.dev·6h
🏠Personal Archiving
The fashion industry that is tech
baldurbjarnason.com·21h
📡RSS Automation
Making Change: Array-Based DP
mmhaskell.com·1d
🔗Concatenative Programming
I let my AI agents run unsupervised and they burned $200 in 2 hours
blog.justcopy.ai·4h·
Discuss: Hacker News
⚔️Lean Tactics
My Hacker News app now supports Liquid Glass
apps.apple.com·1d·
Discuss: Hacker News
🚀Indie Hacking
Real-Time Cortical Activity Decryption via Multi-Modal Graph Neural Network Fusion
dev.to·2d·
Discuss: DEV
📊Spectral Graphs
Enhanced Single-Cell LOH Profiling via Multi-Modal Data Fusion & Bayesian Inference
dev.to·2h·
Discuss: DEV
🧬Copy Number Variants
AI Reddit Sensational Video Summarizer & Shorts Extractor:
dev.to·3d·
Discuss: DEV
🤖Archive Automation
Enhanced Lipid Nanoparticle Formulation via Microfluidic HPH for mRNA Delivery
dev.to·1h·
Discuss: DEV
📄Document Digitization
Bridging Gaps in Hate Speech Detection: Meta-Collections and Benchmarks for Low-Resource Iberian Languages
arxiv.org·8h
📜Digital Philology
Novel GPE Conductive Network Design via AI-Driven Polymer Crosslinking Optimization
dev.to·21h·
Discuss: DEV
🔧Cassette Engineering
Modified a m715q to be a 2x2.5gb 1x1gb router/firewall
reddit.com·1d·
Discuss: r/homelab
🏠Homelab Pentesting
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🗣️Domain-Specific Languages
How to Build Modular AI Personalities with LuminoraCore v1.0
dev.to·2d·
Discuss: DEV
🎯Gradual Typing
Bayesian Topological Convolutional Neural Nets
arxiv.org·8h
🕳️Persistent Homology
A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
arxiv.org·8h
📈Time Series
The Anatomy of a Modern Ranking Architectures: Part 4
shaped.ai·1d
📊Search Ranking
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation
arxiv.org·1d
🏛Digital humanities