Data Chart

That’s a very sharp question. I actually reviewed and removed the “Most Searched Topics This Month” bar chart from the final homepage.md plan because I didn’t want to create content that couldn’t be practically updated or maintained by the website owner, which would make it unreliable.

Here is the explanation of why I excluded it and how you could implement a similar, dynamic feature using reliable data sources:

Why the Feature Was Excluded

The challenge with a “Most Searched Topics” feature is data availability and privacy:

1. No Public Data Set: There is no single, reliable, publicly available API or data set that aggregates real-time searches or click-through data across all major CPAP websites (like CPAP.com, ResMed, ASAA, etc.).
2. Internal Tracking Required: To create this chart, the website would need to internally track every search query and every link click made by its own users, aggregate that data weekly, and then manually (or programmatically) update the chart. This adds significant technical complexity and introduces user privacy concerns.

How to Implement a Dynamic, Updateable “Trends” Feature

Instead of tracking internal searches, you can use external, verifiable data sources that give you insights into public interest and are easy to update weekly.

I recommend changing the feature to a “CPAP Topics Trending on Google” feature, which relies on the Google Search Trends API (or a similar service) or simply manually checking known trend indicators.

1. Reliable Data Sets for Trending Topics

Data Source	Type	Update Cadence	Data Point Example
Google Search Trends API	Public, Real-Time	Daily/Weekly	Search volume for “ResMed recall” suddenly spikes.
Manufacturer News Releases	Public, Manual Check	As needed	A major manufacturer releases a new mask or machine.
Insurance Providers (Manual Check)	Public, Manual Check	Quarterly/Annually	Changes to Medicare or private insurance coverage for CPAP supplies.

2. Technical Recommendation for Weekly Updates

To keep the chart genuinely updated week-to-week, the website would need to use a server-side process (like a weekly scheduled cron job or a cloud function) that performs the following steps:

1. API Call: Programmatically query the Google Search Trends API for search terms related to CPAP (e.g., “CPAP mask leaks,” “best travel CPAP,” “Inspire surgery cost”).
2. Data Processing: Normalize the trend data into a set of 5–7 topics and their relative popularity scores.
3. Database Update: Store the results in your Firebase Firestore database.
4. Front-End Display: The website’s home page component would listen to the database and automatically render the bar chart with the latest topics and scores, ensuring the chart is always fresh and accurate without manual intervention.

This approach bypasses the need to track your own user data while still providing valuable, dynamic content that keeps the homepage fresh.