berstend

• Go to your profile on instagram.com (sign in if not already)
• Click on XXX following for the popup with the users you're following to appear
• Open Chrome Devtools and Paste the following into the Console and hit return:

(async function(){
  const UNFOLLOW_LIMIT = 800
  const delay = (ms) => new Promise(_ => setTimeout(_, ms))
  const findButton = (txt) => [...document.querySelectorAll("button").entries()].map(([pos, btn]) => btn).filter(btn => btn.innerHTML === txt)[0]

berstend

Hello future self, here's the TypeScript version for your copy/pasting pleasure:

const delay = (ms: number) => new Promise(_ => setTimeout(_, ms))

and your favorite JS version:

const delay = ms => new Promise(_ => setTimeout(_, ms))

berstend

var INCR = 16; // Number of messages per page
var SENT_URL = '//www.linkedin.com/inbox/invitations/sent?startRow=';
var loMessageLinks = []; // Main array for all contacts

var fetchMessages = function(i, cb) {
    
    console.log('Fetching message page #' + (i+1));
    $.get(SENT_URL + (i*INCR), function(data){
        var $dom = $(data);
        

berstend

import { IncomingMessage, RequestListener, ServerResponse } from "http"
import { createServer, Server } from "https"
import puppeteer, {
  Browser,
  BrowserLaunchArgumentOptions,
  Protocol
} from "puppeteer-core"

import { Page } from "./types"
import Cookie = Protocol.Network.Cookie

berstend

const chromiumVersion = (() => {
  const compare = (newVer = "", oldVer = "") => {
    const oldParts = oldVer.split(".");
    const newParts = newVer.split(".");
    for (let i = 0; i < newParts.length; i++) {
      const a = ~~newParts[i]; // parse int
      const b = ~~oldParts[i]; // parse int
      if (a > b) return 1;
      if (a < b) return -1;
    }

berstend

Tested on Ubuntu 14.04 and Chromium 65

Steps

apt-get install chromium-browser adobe-flashplugin

mkdir -p /etc/chromium/policies/managed

vim /etc/chromium/policies/managed/foo_policy.json

berstend

[data-darkreader-inline-bgcolor] {
  background-color: var(--darkreader-inline-bgcolor) !important;
}
[data-darkreader-inline-bgimage] {
  background-image: var(--darkreader-inline-bgimage) !important;
}
[data-darkreader-inline-border] {
  border-color: var(--darkreader-inline-border) !important;
}
[data-darkreader-inline-border-bottom] {

berstend

#!/usr/bin/env bash

# Before:
# (Assuming you standard branch is development in the mono repo)
# git checkout -b add-services

githubOrg=FOOBAR
repoList="api backend-service frontend"
repoBranch="development"
serviceDir=services # local directory to pull the other repos in

berstend

---
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  namespace: default
  name: restart-pods
rules:
- apiGroups:
  - extensions
  - apps

berstend

/*
  bayesian rating = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C
  where:
  R = stars for the entry
  v = number of votes for the entry
  m = minimum votes required to be listed (eg. 10)
  C = the mean stars across the whole list (eg. 4.1)

  This rating only includes entries that have at least 10 votes. 
  The bayesian estimate is a statistical technique used to reduce the noise