Samraaj

Give your TV a beautiful new home screen

The expanded prompt from Samraaj's TV makeover video. Identify your TV, give your coding agent eyes through a phone camera, then build and install a home screen for the platform you actually own.

Start here

1. Have your TV, its remote, a computer, and a phone ready. Put the TV and computer on the same trusted home network.
2. Open a coding agent on your computer with permission to work with local files and development tools, and the ability to inspect images. A text-only chat cannot deploy to your TV by itself.
3. Open 01-TV-MAKEOVER-PROMPT.md below, copy its entire contents, and paste it into the agent. Fill in any preferences you already know; leave everything else as unknown.
4. Let the agent identify the hardware first. It will then build the camera watcher, show you a QR code, and ask you to grant camera access and point your phone at the TV.

RepoKan

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.

karpathy

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.

itachi-re

🧠 The Ultimate Neovim + LazyVim Plugin Stack (2026)

A ranked, no-fluff list of the plugins and setups actually worth knowing about on top of LazyVim, Neovim's most popular pre-configured distro, built on lazy.nvim. Get LazyVim running first, then layer these in via lua/plugins/ or toggle them with :LazyExtras.

mv ~/.config/nvim ~/.config/nvim.bak
git clone https://github.com/LazyVim/starter ~/.config/nvim
nvim

BlackCetha

bind w +mfwd
bind s +mback
bind a +mleft
bind d +mright
 
alias +mfwd "-back;+forward;alias checkfwd +forward;"
alias +mback "-forward;+back;alias checkback +back;"
alias +mleft "-moveright;+moveleft;alias checkleft +moveleft;"
alias +mright "-moveleft;+moveright;alias checkright +moveright;"
alias -mfwd "-forward;checkback;alias checkfwd none;"

WebDevSimplified

body {
  margin-top: 40px; /* This margin just makes the text easier to read. You can remove it if you want since it can mess with your other styles. */
}

body::before {
  content: "XS";
  color: red;
  font-size: 2rem;
  font-weight: bold;
  position: fixed;

GOROman

ExpressLRS / CRSF Protocol 解析メモ

https://github.com/ExpressLRS/ExpressLRS/wiki/CRSF-Protocol

↑まずはコレを読む

• RX側: 全二重(Full Duplex) 42000 Baud / N81
• TX側: 半二重（Half Duplex)

alexkar598

1. Use ubuntu (or debian works too for this guide) because i dont know the other distros lmao

2. Run sudo dpkg --add-architecture i386 to enable 32 bits package lists

3. Run sudo apt update to make sure package lists are updated

4. Run sudo apt install libstdc++6:i386 to get the dependencies for BYOND

5. Find the download link for BYOND's linux version from http://www.byond.com/download/, looks like http://www.byond.com/download/build/513/513.1536_byond_linux.zip

soulsoiledit

Spotify Album Cover URLs are of the form https://i.scdn.co/image/ab67616d0000 + {quality identifier} + {image id}

The default seems to be b273, providing a ~640px JPEG. To get a different size or format, use one of the identifiers (maybe not exhaustive).

WEBP:

01e7: 64x64
11eb: 64x64
54be: 64x64