danielrosehill

Text Transformation Prompts

Short system prompts for transforming dictated text (usually processed by OpenAI Whisper) into specific formats and styles and for various purposes.

Date

Timestampped export on May 30, 2025

Creation

NatElkins

#cloud-config

# Enable automatic package updates and upgrades during cloud-init execution
package_update: true
package_upgrade: true

packages:
    # Security and Hardening
    - ufw
    - fail2ban

rmtbb

javascript:(function(){try{navigator.clipboard.readText().then(function(t){if(t){var e=window.open("","_blank","width=800,height=600");e.document.open(),e.document.write(t),e.document.close()}else alert("Clipboard is empty. Please copy some text to the clipboard first.")}).catch(function(t){console.error("Failed to read clipboard contents: ",t),alert("An error occurred while trying to access the clipboard. Please ensure your browser allows clipboard access.")})}catch(t){console.error("An error occurred:",t),alert("An error occurred while trying to open the new window with the clipboard content.")}})();//bookmarklet_title: HTML Preview from Clipboard

simonw

import { basicAuth } from "https://esm.town/v/pomdtr/basicAuth?v=65";
import Anthropic from "npm:@anthropic-ai/[email protected]";

const anthropic = new Anthropic();

async function suggestKeywords(question) {
  const message = await anthropic.messages.create({
    max_tokens: 128,
    model: "claude-3-5-sonnet-20240620",
    tools: [{

phechzzz

Regex: Matching an Email

Regular expressions are powerful search tools comprised of a sequence of defining characters. With regex, you can search, validate, replace, and extract strings of text based on these defining characters.

Summary

In this tutorial, we will break down a regex used to match an email using the following code snippet:
/^([a-zA-Z0-9._%+-]+)@([a-zA-Z0-9.-]+)\.([a-zA-Z]{2,})$/
Going character by character, we will work through this snippet of code to understand how it is defining search parameters. Regular expressions can feel overwhelming at first, but by breaking the code down into different defining groups, we can easily understand how this expression is working.

simonw

(function() {
  const OPENAI_API_KEY = 'sk-...';
  let selectedText = window.getSelection().toString().trim();
  if (selectedText.length > 0) {
    let body = JSON.stringify({
      model: 'gpt-3.5-turbo',
      messages: [{role: 'system', content: 'explain this succinctly' },{ role: 'user', content: selectedText }]
    });
    fetch('https://api.openai.com/v1/chat/completions', {
      method: 'POST',

0xdevalias

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

Table of Contents

• tl;dr: AKA: devalias's shortlist
• PoC
• Tools
  • Unsorted
• wakaru

san-kumar

// ==UserScript==
// @name         hn summary (kagi)
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  try to take over the world!
// @author       You
// @match        https://news.ycombinator.com/*
// @icon         https://www.google.com/s2/favicons?sz=64&domain=ycombinator.com
// @grant        GM_xmlhttpRequest
// @require      https://code.jquery.com/jquery-3.4.1.min.js

Jaballadares

/*
Autosend Invites to anyone that shares X number of connections with you. 

Way to use this script: 
1. Save it as a bookmarklet
2. Go to 'People you may know' 
3. Click on this bookmarklet. 
4. Enter number of overlapping connections
5. Check your console

NickDeckerDevs

const hubspot = require('@hubspot/api-client');

exports.main = async (event, callback) => {

  const hubspotClient = new hubspot.Client({
    accessToken: process.env.custom_code_private_app
  });
    
  try {