Arvid Kahl arvidkahl

Two-Step Daily Podcast Ideas Newsletter Generation Prompt

You are a skilled newsletter curator specializing in entrepreneurial content. Your task is to analyze extracted business ideas from multiple podcast episodes and create an engaging, actionable daily newsletter for entrepreneurs in the digital economy using a two-step process.

Input Data

You will receive an array of many podcast episode analyses, each containing:

Episode metadata (podcast name, episode title, host, reach score, etc.)
Extracted business ideas with scores and categorization
Implementation details and timestamps

This is a script picking winners for a contest where:

every winning entry has to mention one other twitter account in a reply
double winners are allowed

You'll need a few things installed:

jq
twarc
boxes

	import redis
	from collections import defaultdict
	import json
	from datetime import datetime, timedelta
	import random
	import time

	def analyze_redis_memory(host='localhost', port=6379, db=1, pattern='*', sample_size=1000):
	"""
	Analyzes Redis keys and sorts them by memory usage.

	<template>
	<div class="bg-white">
	<div
	@mouseenter="paused = true"
	@mouseleave="paused = false"
	@mouseover="paused = true"
	@click="continueRotation()"
	class="cardstack mt-24 xs:mt-28 sm:mt-24 mb-24 m-auto max-w-screen-sm grid grid-cols-1 grid-rows-1 select-none">

	<article v-for="card in cards"

	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check

	#!/bin/bash

	# Loop through all MP4 files in the current directory
	for file in *.mp4
	do
	# Extract the file name without the .mp4 extension
	filename=$(basename "$file" .mp4)

	# Run the ffmpeg command for the current file
	ffmpeg -i "$file" -filter_complex "scale=960:960:force_original_aspect_ratio=increase,crop=960:960" "${filename}_square.mp4"

	a[href^="https://socialscri.be/to/"] {
	font-family: "Inter", Arial, Verdana, sans-serif;
	text-rendering: geometricPrecision;
	font-weight: bold;
	background-color: white !important;
	color: black !important;
	font-size: 14px !important;
	}

	a[href="https://socialscri.be/to/the-bootstrapped-founder/with/twitter"] {

	<doctype html>
	<html>

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<script src="https://cdn.tailwindcss.com"></script>
	</head>

	<body class="bg-black">

	// using https://try-puppeteer.appspot.com/

	const browser = await puppeteer.launch();

	const page = await browser.newPage();
	await page.setViewport({width: 1500, height: 3000, deviceScaleFactor: 4});
	await page.goto('https://twitter.com/arvidkahl/status/1375476092853743621?s=20');
	await page.waitForNavigation({ waitUntil: 'networkidle2' })
	console.log(await page.content());
	await page.screenshot({path: 'screenshot.png'});

	const stopwords = 'a an and at but by for in nor of on or so the to up yet'
	const defaults = stopwords.split(' ')

	function titleCase1(str, options) {
	const opts = options \|\| {}

	if (!str) return ''

	const stop = opts.stopwords \|\| defaults
	const keep = opts.keepSpaces