🧩 WASM Modules

Module Linking, Component Model, Interface Types, Runtime Composition

OTW - Bandit Level 3 to Level 4
tbhaxor.com·3d
🔓Reverse engineering
AI devours your information: It knows what you search for, do and upload — and uses that data
english.elpais.com·1d
🔒Privacy Preserving
Fantasy Football Is More Fun When You Accept What You Can't Control
freddiedeboer.substack.com·13h·
Discuss: Substack
🎯Threat Hunting
Show HN: Built a tool that lets anyone create cinematic aerial shots with AI
dreamflow.live·1d·
Discuss: Hacker News
🎬Video Codecs
North Korean leader oversees new missile test, state media says
bbc.com·1d
📰RSS Archaeology
Q&A about the Windows Start Menu and Taskbar
archive.blogs.harvard.edu·15h·
Discuss: Hacker News
🎮Switch Archaeology
I have found the joy of clipboard managers
hamatti.org·1d
⭐Awesome lists
Slice: SAST + LLM Interprocedural Context Extractor
noperator.dev·6d·
Discuss: Lobsters, Hacker News
🔓Decompilation
I Built a Tool to Stop Explaining My Codebase to AI Every Single Time
vibe.forem.com·4d·
Discuss: DEV
🦀Rust Macros
Writing with LLM is not a shame
reflexions.florianernotte.be·21h·
Discuss: Hacker News
🤖AI Curation
RS485 Basic and Versatile
hackster.io·3d
📼Cassette Protocols
Should the web platform adopt XSLT 3.0?
github.com·2d·
Discuss: Hacker News
🔀XSLT
Show HN: BirdNET-Go - AI avian identification & monitoring
github.com·2d·
Discuss: Hacker News
🌊Streaming Compression
What Are Oklch Colors?
jakub.kr·3d·
Discuss: Hacker News, Hacker News, Hacker News
🌈Color Science
Show HN: I replaced vector databases with Git for AI memory (PoC)
github.com·4d·
Discuss: Hacker News
🌿git
Adversarial Attacks against Neural Ranking Models via In-Context Learning
arxiv.org·3d
📊Search Ranking
From Fake Tutorials to Real Development: How "Tic Tac Ball" Proves the AI-SymDev Difference
dev.to·2d·
Discuss: DEV
🎯Emulator Accuracy
12 Best DevSecOps Tools for Your CI/CD Pipeline
boostsecurity.io·2d
🛡️CLI Security
Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
arxiv.org·6d
🌐Federated Search
[R] Review advice: Well-established work published years ago on Arxiv
reddit.com·10h·
Discuss: r/MachineLearning
💧Manuscript Watermarks