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OS version Arch File Host Size Download Link Rate Limits
Windows 1.0 8086 Winworld (Kansas City, Missouri) 541KB Download ❌ Yes, 25 per day
Windows 2.0 386 Winworld (Kansas City, Missouri) 2.80MB Download ❌ Yes, 25 per day
Windows 3.0 8086/386
@matsubo
matsubo / credit_card_bin_codes.md
Last active June 3, 2026 01:05
Credit Card Bin Codes

概要

クレジットカード番号には法則があり、先頭6桁でカードの種類を識別、分類することができる。

詳細はISO/IEC 7812で規定されている。

ISO/IEC 7812 - Wikipedia https://ja.wikipedia.org/wiki/ISO/IEC_7812

先頭の6桁を銀行識別番号(Bank Identification Number、略称:BIN)ないしは発行者識別番号(Issuer Identification Number、略称:IIN)と呼び、この先頭6桁でカード発行会社(イシュア、issuer)が判るようになっている。

@leocomelli
leocomelli / git.md
Last active June 3, 2026 01:04
Lista de comandos úteis do GIT

GIT

Estados

  • Modificado (modified);
  • Preparado (staged/index)
  • Consolidado (comitted);

Ajuda

@ytxmobile98
ytxmobile98 / README.md
Last active June 3, 2026 01:03
Windows 11 Pro Activation

Windows 11 Pro 激活步骤

请务必以管理员身份打开命令提示符,并运行以下代码。

slmgr /ipk W269N-WFGWX-YVC9B-4J6C9-T83GX
slmgr /skms kms.luody.info
slmgr /ato
@juneyfraxinella
juneyfraxinella / concept_review_board_generator_context.md
Created May 27, 2026 16:05
Concept Review Board Generator for Hand-Drawn Sketches

Concept Review Board Generator for Hand-Drawn Sketches

What This File Does

Upload this Markdown file into an LLM together with your rough sketches.

This file turns the LLM into a Concept Review Board Assistant.

It helps architects, landscape architects, urban designers, interior designers, exhibition designers, students, and design teams turn early sketches into structured Concept Review Boards.

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp

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.

@Klerith
Klerith / claudecode-instalacion.md
Last active June 3, 2026 00:10
Instalaciones recomendadas para el curso de ClaudeCode

Claude Code: Guía completa para desarrolladores de software

Para empezar el curso, les dejo una lista de las instalaciones generales que les recomiendo. Recuerden que más adelante tendremos una sección dedicada a la configuración y generalidades de ClaudeCode, estas son configuraciones generales del equipo.

@carefree-ladka
carefree-ladka / Google 2026 Interview Preparation - Complete Weekly Roadmap.mdx
Created December 31, 2025 15:09
Google 2026 Interview Preparation - Complete Weekly Roadmap

Google 2026 Interview Preparation - Complete Weekly Roadmap

image

Target: Crack Google L3/L4/L5 by 2026 Duration: 24 weeks (6 months intensive preparation) Daily Time Commitment: 3-4 hours minimum