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@yashodhank
yashodhank / 1.How-to-Use-Grabovoi-Numbers-Codes.md
Last active June 25, 2026 18:52
Instructions on How to Use Grabovoi Numbers / Codes

Instructions on How to Use Grabovoi Numbers

Grabovoi (ग्राबोवोई) numbers, also known as "Grabovoi codes," are sequences of numbers developed by the Russian mathematician and psychic Grigori Grabovoi. They are intended to be used for healing and manifesting specific outcomes based on numerology and the belief in the mystical power of numbers.

English Instructions:

Grabovoi numbers are sequences that are used with the intention to manifest specific outcomes in various areas of life, such as health, finance, and relationships. Here's a simple guide on how to use them:

  1. Identify Your Goal: Decide what you want to improve or heal. This could be anything from better health, financial prosperity, to finding love.

  2. Choose the Right Number: Each number sequence corresponds to a specific goal. Refer to the table of Grabovoi numbers to find the one that suits your need.

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.

import requests, os from dotenv import load_dotenv

load_dotenv()

resp = requests.post( "https://api.github.com/gists", headers={"Authorization": f"Bearer {os.getenv('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')}"}, json={ "description": "My gist",

@consti
consti / hosts
Last active June 25, 2026 18:41
/etc/hosts to block shock sites etc.
@wojteklu
wojteklu / clean_code.md
Last active June 25, 2026 18:41
Summary of 'Clean code' by Robert C. Martin

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.


General rules

  1. Follow standard conventions.
  2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
  3. Boy scout rule. Leave the campground cleaner than you found it.
  4. Always find root cause. Always look for the root cause of a problem.

Design rules

@nort3x
nort3x / readme.md
Last active June 25, 2026 18:40
prevent Jetbrains products (Intellij, Webstorm, Rider, Goland ...) checking for validity of License - don't use ja-netfilter

Warning

I see many people proposing solutions for other platforms (such as Windows or macOS). I cannot verify the authenticity of those methods, and you should not copy, paste, and run code from random people on the internet without first understanding what it does. Ideally, review every line carefully and, even then, run it with caution in a sandboxed environment.

Introduction

I personally experienced slowdowns and issues while using the ja-netfilter agent.

I decided to investigate how JetBrains checks license validity, because despite explicitly configuring JetBrains to work offline, it still attempts to validate licenses.

Here are my findings:

@wiverson
wiverson / frame-desktop-htpc.md
Last active June 25, 2026 18:39
Setting up a Frame Desktop as a HTPC

HDMI CEC TV Control on Bazzite Linux with UGREEN DP-to-HDMI Adapter

Automatically turn on your TV and switch to the correct HDMI input when:

  • Your PC boots
  • Your display wakes from blanking
  • You press the Xbox button on your controller

Tested on Bazzite (KDE Plasma) with an LG TV.

Requirements