I'm developing a feature for my application where users can filter locations based on a radius from a specific address. Here's my intended flow: a user inputs an address which gets stored in the app's database. Then, another user searches by city or ZIP code and applies a radius filter (like 10 to 25 miles). If the stored address is within that radius, it should appear in the search results. It's a straightforward list—no maps or visual components. This seems to be a regular feature in apps like Indeed, but I'm struggling to find clear guidance on best practices for implementing this. Also, any insights on pricing strategies for such a feature would be great, as I'm a solo developer using Next.JS and Supabase. Any help or recommended search terms would be appreciated!
3 Answers
To implement radius filtering, you'll mainly rely on latitude and longitude calculations. When a user enters an address, convert that into latitude and longitude coordinates using a geocoding service. Then, for radius searching, you can use the Haversine formula to calculate the distance between points based on those coordinates. It’s pretty straightforward! Look it up for more details.
A practical approach is to convert the user's search location into latitude and longitude and then run a query to find all addresses within the defined distance. You can set up a bounding box using this formula: X - distance, X + distance, Y - distance, Y + distance. This will give you a box of potential matches, and then you can calculate the exact distance and filter out any that don’t meet the radius requirement. It's not the most efficient method but can work well if your database doesn't support geospatial queries.
If you're using PostgreSQL, consider utilizing its PostGIS extension for geospatial queries. It makes filtering by radius easier, and you'll definitely want to store latitude and longitude coordinates in your database. When users search, convert their input into coordinates and perform your query based on those. Also, using APIs like Google Maps can help with geocoding addresses to their respective coordinates.

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