Skip to content

Instantly share code, notes, and snippets.

Windows 7 Ultimate Retail Offline Activation Key
BR6G7-729GM-DQDQW-F9M4P-MM2JX
J6XG4-8JFTF-43CHH-8Q2VW-KHQH6
YQMCM-3W6TK-YXP66-GKCJV-PX7PH
[Tested working on 18 June 2013]
=================================================================================
Windows 7 Pro / Enterprise Online Activation MAK Key
@mrgrain
mrgrain / pinentry-1password.sh
Last active April 16, 2026 00:04
1Password CLI pinentry for gpg-agent
#!/bin/sh
COMMAND="op read $OP_PIN_ITEM"
echo "OK"
while read cmd rest; do
echo "cmd=$cmd rest=$rest" >&2
echo "cmd=$cmd rest=$rest" >> $LOG
case "$cmd" in
\#*)

LLM Wiki

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.

The core idea

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.

@0xdevalias
0xdevalias / twitter-notification-tweets-api.md
Last active April 16, 2026 00:02
Notes on API/userscript to improve Twitter 'Notifications Timeline'
@pnakamura
pnakamura / knowledge-entropy.md
Last active April 15, 2026 23:59
Knowledge Entropy: Why Organizations Forget and AI Agents Stagnate

Knowledge Entropy: Why Organizations Forget and AI Agents Stagnate

Organizations lose knowledge when experts leave. AI agent systems lose knowledge when no one builds the feedback loop. The root cause is the same. The solution might be too.


The problem no one talks about

//! A self-contained type-level programming example in Rust.
//!
//! This file demonstrates:
//! - type-level booleans and branching
//! - Peano naturals and arithmetic
//! - a type-level HList-style array
//! - a `While` encoded with trait resolution
//! - Fibonacci sequence generation at compile time
//!
//! ## Why no const generics?
@sundowndev
sundowndev / GoogleDorking.md
Last active April 15, 2026 23:55
Google dork cheatsheet

Google dork cheatsheet

Search filters

Filter Description Example
allintext Searches for occurrences of all the keywords given. allintext:"keyword"
intext Searches for the occurrences of keywords all at once or one at a time. intext:"keyword"
inurl Searches for a URL matching one of the keywords. inurl:"keyword"
allinurl Searches for a URL matching all the keywords in the query. allinurl:"keyword"
intitle Searches for occurrences of keywords in title all or one. intitle:"keyword"
@dukeflyheli
dukeflyheli / example-usage.yml
Created February 27, 2026 22:24
used cached wrangler to skip install, saves ~20s
steps:
- name: Deploy preview to Cloudflare Pages
id: deploy
uses: ./wrangler-deploy-action
with:
apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
command: pages deploy dist --project-name someproject --branch "pr-${{ github.event.pull_request.number }}"
gitHubToken: ${{ secrets.GITHUB_TOKEN }}