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#!/usr/bin/env ruby
# deep_research.rb

require 'openai'
require 'json'
require 'net/http'
require 'uri'
require 'timeout'
require 'time'

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require "openai"

# Initialise the OpenAI client
client = OpenAI::Client.new(access_token: ENV["OPENAI_API_KEY"])

# Helper method to call the API with a given model and prompt.
def call_llm(client, model:, prompt:, temperature: 0.7)
  response = client.chat(
    parameters: {
      model: model,

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query {
  publications(first: 10) {
    edges {
      node {
        id
        name
      }
    }
  }
}

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This is a summary of video content on Y Combinator Startup School, available on YouTube.

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1. Interview Structure w/ Examples

1. Kick-Off Questions

   • Purpose: Break the ice, understand the interviewee’s background and how they arrived in their current role.
   • Example: “Can you tell us a little about yourself and your organisation?”

2. Organisation Structure

   • Purpose: Understand the size and scope of the company.
   • Example: “How many people in your company?” / “How many cattle do you manage?”

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#!/usr/bin/env python3

import os
import time

device_id = None
temperature = None
i = 0
delay = 3

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import machine
led = machine.Pin("LED", machine.Pin.OUT)
led.off()
led.on()

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These are my notes from Alex Hormozi's videos (in the form of a quick guide).

---

The Ultimate Guide to High-Performance Sales and Startup Growth

This guide consolidates all hints, tips, statistics, and rules of thumb into a single coherent roadmap. It covers sales best practices, mindset, marketing fundamentals, operational strategies, and more—without repeating the same points multiple times. All spelling follows en-AU conventions.

---

Table of Contents

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function profile() {
  /usr/local/bin/zed -w ~/.zshrc
  if [[ $? -eq 0 ]]; then
    echo 'Sourcing ~/.zshrc...'
    source ~/.zshrc
    echo '~/.zshrc updated and sourced successfully!'
  else
    echo 'Failed to edit ~/.zshrc.'
  fi
}

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#!/usr/bin/env ruby
# frozen_string_literal: true

# This script downloads the English auto-generated subtitles for a YouTube video,
# converts them to a single text block, and sends them to OpenAI for summarization.

# Requirements:
# - yt-dlp (brew install yt-dlp)
# - OpenAI Ruby gem (gem install 'ruby-openai')
# - An OpenAI API key set as an environment variable (export OPENAI_API_KEY=your-api-key)