Anas Khan anxkhn

name	x-audience-warmup
description	Use when starting an X (Twitter) account from scratch, when follower count is below 500, or when preparing an account to receive viral traffic before posting demo videos or trend-hijacking content.

Overview

A cold X account with no followers wastes viral content. This skill covers the warm-up phase: getting from 0 to 500-1000 followers before deploying x-viral-demo-video or x-trend-hijacking posts.

Expected timeline: ~9 months from first post to first viral moment.

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.

Quickstart: GLM-4.6V-Flash with `mlx-vlm` on macOS (Apple Silicon)

This guide walks you through setting up a minimal project that uses mlx-vlm to run the

mlx-community/GLM-4.6V-Flash-4bit vision model on a sample image.

1. Install `uv` (if not installed)

Problem-Solving Techniques and Patterns

1. Fast and Slow Pointer

Description: This technique uses two pointers moving at different speeds to solve problems involving cycles, such as finding the middle of a list, detecting loops, or checking for palindromes.

Linked List Cycle II
Remove nth Node from the End of List
Find the Duplicate Number
Palindrome Linked List

PostgreSQL is Enough

See the new site: https://postgresisenough.dev

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

Some notes and tools for reverse engineering / deobfuscating / unminifying obfuscated web app code.

Chat GPT "DAN" (and other "Jailbreaks")

I've recently joined Amazon Dublin from India and got opportunities to interview with Meta London, Zalando Berlin & some other companies. I extensively researched about companies hiring internationally which support visa & relocation for Tech roles. So sharing list of companies:

Do consider to STAR, if it helped you.

London

THEORY -

[CLRS Book Solutions] (https://github.com/gzc/CLRS)
[William Fiset] (https://www.youtube.com/watch?v=RBSGKlAvoiM&ab_channel=freeCodeCamp.org)
[Interview Camp] (https://drive.google.com/drive/u/0/folders/1dIeMx4tAnmTogCl5ltugfITBzJ15mVXP)
[Awesome-Algorithms] (https://github.com/tayllan/awesome-algorithms#readme)
[Interview Centered] (https://drive.google.com/drive/u/0/folders/1dIeMx4tAnmTogCl5ltugfITBzJ15mVXP)

	// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
	// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
	(() => {
	const SHOW_SIDES = false; // color sides of DOM nodes?
	const COLOR_SURFACE = true; // color tops of DOM nodes?
	const COLOR_RANDOM = false; // randomise color?
	const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
	const MAX_ROTATION = 180; // set to 360 to rotate all the way round
	const THICKNESS = 20; // thickness of layers
	const DISTANCE = 10000; // ¯\\_(ツ)_/¯