Coldblackice

Patreon Video Downloader (Browser Extension)

Download videos, audio, images, post text, and attachments from Patreon posts you can already access.

Patreon Downloader is a browser extension built for subscribers, creators, researchers, and teams who want a simpler way to save Patreon content for offline viewing, local backup, and personal organization. It works inside your active Patreon browser session, detects supported media on creator posts, and gives you a direct download workflow without needing separate desktop tools.

Save Patreon videos from supported creator posts
Download audio, podcast-style posts, images, and file attachments
Capture post text for personal archiving and reference
Keep local copies for offline viewing, study, review, or backup

Since Twitch decomissioned API V5, there's no correct way to get the VOD offset for a clip. So I just inspected what the Twitch web app was doing and came up with a super cool hack.

I know this looks really complicated but really it just does two things. First it gets the clip information from the official API, then it uses Twitch GraphQL API to get the offset.

kimne78kx3ncx6brgo4mv6wki5h1ko is the Client ID that the Twitch web app uses. It can be used to access Twitch's GraphQL API (undocumented & not for public use). The postData variable contains a request and a sha256Hash. The sha256Hash is basically a job ID and may change in the future, but I added the current hash which should work for all clips as of posting this.

const clientId = "" // Put your Twitch Client ID here
const clientSecret = "" // Put your Twitch Client Secret here

the sneakyf1shy apple intelligence tutorial v2.0

Warning

This is patched as of iOS/iPadOS 18.1 DevBeta 5. If you want to follow this, stay on Beta 4.

This actually downloads the models, and is NOT just new SiriUI. Hence, this process is complex and probably not worth it.

⚠️ Prepare to be disappointed and annoyed, and have your time wasted! ⚠️

What does not work: Writing Tools, Memories, Reduce Interruptions, Image Eraser and other tools that are within official Apple Intelligence on supported devices.

SnapTap + JumpThrow Macro for QMK Keyboards

Enhance your CS2 gameplay with the SnapTap + JumpThrow macro designed for QMK keyboards. This macro enables precise movement control and consistent grenade throws, giving you a competitive edge, all while remaining undetectable by CS2 due to its careful imitation of human behavior.

Features:

SnapTap Functionality: Execute rapid direction changes with minimal input delay, allowing for swift and responsive strafing during gameplay.
JumpThrow Macro: Perform perfectly timed grenade throws with a single key press, ensuring consistent and accurate throws every time.
Customizable Delays: Adjust delay settings to fine-tune the responsiveness and behavior of the SnapTap and JumpThrow actions according to your playstyle.
Seamless Integration: Easily incorporate this macro into your existing QMK firmware, with simple configuration options.

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

	// ==UserScript==
	// @name Medium Paywall Bypass (Manual Button + Badge + Fallback + Offline)
	// @namespace Violentmonkey Scripts
	// @run-at document-start
	// @match ://.medium.com/*
	// @match ://medium.com/
	// @match :///*
	// @grant none
	// @version 3.5
	// @inject-into content

	Affiliates (3,459,377):
	-> Twitch Recap 2024: 1,782,080 (51.51%)
	-> Twitch Recap 2023: 1,640,947 (47.43%)
	-> Prime Gaming: 1,285,219 (37.15%)
	-> Raging Wolf Helm: 545,360 (15.76%)
	-> SUBtember 2024: 388,943 (11.24%)
	-> Share the Love: 360,145 (10.41%)
	-> GLHF Pledge: 230,552 (6.66%)
	-> Destiny 2: The Final Shape Raid Race: 213,758 (6.18%)
	-> La Velada del Año IV: 172,965 (5%)

	import os
	import time
	import urllib.parse

	import requests
	import json
	from slugify import slugify
	import logging

	from nltk.tokenize import sent_tokenize

	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet

	#define WIN32_LEAN_AND_MEAN
	#include <windows.h>
	#include <Shlobj.h>

	#include <string.h>
	#include <stdio.h>
	#include <stdlib.h>
	#include <errno.h>

	bool replaceAllInFile(const TCHAR* filePath)