Revise job posting topics for clarity and accuracy

Updated sections on costs, convenience, and efficiency in job postings. Improved clarity and corrected typos.

Author: resmo

docs/why.md

@@ -2,23 +2,21 @@
 
 Let's look at three topics regarding job postings:
 
-- Costs
-- Convenience
-- Efficiency
+- Costs and Benefits
+- Convenience and Effort
+- Efficiency and Convetion 
 
-## Costs
+## Costs and Benefits
 
 Publishing and finding jobs is a huge market. Nowadays there are **hundrets or thousands** of job portals, job boards and career platforms world wide.
 
-An estimated **USD 34.4 billion** is spent annually on online job advertisements.
-
-This figure for 2023 underscores the immense importance of online job boards and career platforms in modern human resources management. These figures come from Staffing Industry Analysts (SIA), a leading analysis firm in the field of human resources management.
+An estimated **USD 34.4 billion** is spent annually (2023) on online job advertisements. These figures come from Staffing Industry Analysts (SIA), a leading analysis firm in the field of human resources management.
 
 Needless to say, job portals typically **charge employers regardless** of whether they fill the position or not.
 
 We believe that a publishing job offerings is rediculous expensive, it should be **free of charge**.
 
-## Convenience
+## Convenience and Effort
 
 Publishing a job on **multiple portals** often means to *copy/paste* data and **more work to publish and manage**. 
 
@@ -28,12 +26,12 @@ We find this process unnecessary and impractical - as an employer, we want to ad
 
 We think, our solution might be the missing piece to make it work.
 
-## Efficiency
+## Efficiency and Convetion 
 
 Finding job postings online in the web is unnecessarily difficult due to unstructured data.
 
 While there has been some attempts to address this using a job posting schema for jobs, which even Google supports ([Why a new Format](faq.md#why-a-new-format)), it hasn't been widely adopted and **still forces search engines to crawl entire websites** just to find the relevant page. This is like searching an entire library for a single page of a book.
 
-We propose a much simpler approach, **inspired by conventions** like _robots.txt_ or _sitemap.xml_. Companies would place all their job listings in a structured file at a single, well-known URL.
+We propose a much, much simpler approach, **inspired by conventions** like _robots.txt_ or _sitemap.xml_. Employers would place all their job listings in a structured file at a single, well-known URL on their web hosting.
 
-Job search engines and aggregators would only need to check this one location to get all the data they need. This would make discovering and indexing job postings vastly more efficient for everyone.
+Job search engines and aggregators would only need to check this single location per domain to get all the data they need. This makes discovering and indexing job postings vastly more efficient for everyone.