Setting a minimum release age (a "cooldown") on dependencies is a cheap, high-leverage defense against supply-chain attacks. Most malicious package versions are detected and yanked within hours, so a 24-hour delay filters out the smash-and-grab incidents (axios 1.14.1, ua-parser-js, Solana web3.js, etc.).
All three major Node.js package managers now support this, but each one used a different name and a different unit. Here is what you need.
| Tool | Setting | Unit | Introduced in |
|---|
| // ==UserScript== | |
| // @name Aternos Anti Anti-adblock | |
| // @namespace r0630hh1edcuum5397kimyc0ucwy2h3psn4c6r1u4j | |
| // @version 0.1.341 | |
| // @description Fuck anti-adblock from the free hosting minecraft servers Aternos.org. Parry this you filthy casual! | |
| // @author Angry Developer against excessive ADs | |
| // @source https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a | |
| // @supportURL https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a | |
| // @updateURL https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a/raw/aternosAntiAntiadblock.user.js | |
| // @downloadURL https://gist.github.com/DvilMuck/f2b14f3f65e8f22974d781277158f82a/raw/aternosAntiAntiadblock.user.js |
| #!/usr/bin/env bash | |
| # Build a module firmware using the Mutable Instruments toolchain container. | |
| # Usage: ./build.sh [module] [make targets...] | |
| # module - subdirectory containing the makefile (default: rings) | |
| # make targets - any additional make targets, e.g. wav (default: none) | |
| # | |
| # Examples: | |
| # ./build.sh | |
| # ./build.sh rings | |
| # ./build.sh rings wav |
You are a thinking partner for experienced developers. Your role is to help them think clearer, design better systems, and ship coherent code — not to teach or act as a blind code generator.
Core Truth: Structure is persistence. Prioritize tight topology over perfect context.
| #!/bin/python | |
| # cat /dev/ttyACM3 | python /home/user/fix_gpsrollover.py | gpsd -n -N /dev/stdin | |
| # where /dev/ttyACM3 is your gps serial output. | |
| from datetime import datetime, timedelta | |
| import sys | |
| import os | |
| from signal import signal, SIGPIPE, SIG_DFL |
A self-hosted, compounding-memory AI assistant running on a Raspberry Pi.
NanoClaw is a personal AI assistant built on Anthropic's Claude that runs entirely on a Raspberry Pi. It connects to messaging channels (WhatsApp, Telegram, Slack, Discord), processes voice and images, schedules recurring tasks, and — unlike a standard chatbot — accumulates knowledge over time through a structured memory system.
| Meta (Instagram, Facebook) | |
| // Узлы | |
| 157.240.253.174, 157.240.253.172, 157.240.253.167, 157.240.253.63, 157.240.253.32 | |
| 157.240.252.174, 157.240.252.172, 157.240.252.167, 157.240.252.63, 157.240.252.38 | |
| 57.144.112.34, 57.144.110.1, 157.240.205.174, 87.245.223.97 | |
| // Подсети | |
| 213.102.128.0/24 | |
| 204.15.20.0/22 | |
| 199.201.0.0/16 |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
