RichardBray

name	interview-summary
description	Convert a hiring interview transcript into a concise, scannable bullet-point summary written for an internal hiring audience (e.g. a teammate or co-founder). Use when the user pastes a call transcript and asks to summarise, recap, or write up an interview/candidate call.

Interview Summary

Turn a raw interview transcript into bullet points an internal stakeholder can read at a glance to decide on next steps.

Audience

RichardBray

Scraping Basics (5 prompts)

1. "How would I use Firecrawl to scrape https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html and get back clean markdown without headers, footers, or navigation."
2. "How do I scrape https://news.ycombinator.com with Firecrawl and get both a screenshot and the markdown content in one call?"
3. "Can Firecrawl scrape https://dashboard.stripe.com/payments if I pass session cookies? How do I set up custom headers?"
4. "What's the difference between Firecrawl's onlyMainContent and onlyCleanContent options when scraping?"
5. "How would I scrape the mobile version of https://www.bbc.co.uk/news using Firecrawl — the desktop layout hides some content I need."

Structured Data Extraction (5 prompts)

RichardBray

Rewritten Agent Test Prompts

1. POST /webhooks/agent.started

• Old prompt: "Using https://docs.firecrawl.dev, integrate POST /webhooks/agent.started from Firecrawl's API into my codebase and test it out. Write a Python script."
• New prompt: "Write a Python script that listens for when a Firecrawl agent starts running and logs the event."
• Changes:
  • Replaced endpoint path with the user's actual goal ("listens for when an agent starts")
  • Leads with the deliverable instead of the docs URL

RichardBray

{
  "acls": [
    {"action": "accept", "src": ["*"], "dst": ["*:*"]}
  ],
  "ssh": [
    {"action": "accept", "src": ["autogroup:member"], "dst": ["autogroup:member"], "users": ["root"]}
  ]
}

RichardBray

https://headscale.pandor.cc {
        reverse_proxy /web* http://headscale-ui:8080
        reverse_proxy * http://headscale:8080
}

RichardBray

services:
  headscale:
    image: docker.io/headscale/headscale:stable
    restart: unless-stopped
    container_name: headscale
    read_only: true
    tmpfs:
      - /var/run/headscale
    ports:
      - "27896:8080"

RichardBray

X Recommendation Algorithm Repository Analysis

Overview

This document contains the analysis findings of the X recommendation algorithm repository, focusing on the comprehensive rebranding commit that transformed Twitter's terminology to X's branding.

Repository Information

Location: /Users/richardoliverbray/the-algorithm
Repository Type: Git repository

RichardBray

X "For You" Page Algorithm Optimization Guide

Executive Summary

Based on analysis of X's recommendation algorithm codebase, this document outlines key strategies to improve content visibility on the "For You" timeline. The algorithm uses a sophisticated multi-stage ranking system that considers engagement signals, author credibility, content quality, and user behavior patterns.

Core Algorithm Architecture

1. Multi-Stage Ranking Pipeline

RichardBray

const secret = process.env.SECRET_KEY || "not found";
console.log(`SECRET_KEY: ${secret}`);

return "Result: Code executed successfully";

RichardBray

# -----------------------------------------------------------------------------
#  tokyo night
# -----------------------------------------------------------------------------

foreground: &foreground "#a9b1d6"
background: &background "#1a1b26"
current_line: &current_line "#1e202e"
selection: &selection "#515c7e"
comment: &comment "#51597d"
cyan: &cyan "#7dcfff"