You are tasked with building a "Latest Jobs" feed that consumes data from a public tech news API. The API architecture is unique: it does not provide a single endpoint to get a full list of job details. Instead, it provides one endpoint for a list of IDs and another endpoint for individual item details.

Your goal is to orchestrate these requests to build a performant, paginated list of job postings.

Core Requirements:

Initial State: Upon loading the application, fetch the latest job IDs and display the first 6 job postings.
Pagination: At the bottom of the list, display a "Load More" button. Clicking this should fetch and append the next 6 jobs.
Completion: If there are no more jobs to load, the "Load More" button must be hidden.
Data Display: For each job card, display the:
- Title (Must be a clickable link opening the job URL in a new tab, if available).
- Poster (The username of the person who posted it).
- Date (Formatted as a human-readable string).
Performance constraint: You must strictly avoid "waterfall" requests (fetching item 1, waiting, then fetching item 2). You should fetch the details for the current page's items in parallel.

📡 API Reference

1. Job Stream Endpoint

Purpose: Returns an array of numeric IDs representing active job postings.
Method: GET
URL: https://hacker-news.firebaseio.com/v0/jobstories.json
Response Format: [35908337, 35904973, ...]

2. Item Detail Endpoint

Purpose: Returns the metadata for a specific item ID.
Method: GET
URL: https://hacker-news.firebaseio.com/v0/item/{id}.json
Response Format:

{
  "id": 35908337,
  "title": "Senior Software Engineer",
  "by": "hiring_manager_123",
  "time": 1683838872,
  "url": "https://company.com/jobs/123",
  "type": "job"
}