Search Best Sellers
Product Development, Identity Design, Social Media Management, UI Design, Art Direction
Googling "_______ Best Seller" to find Amazon's 100 most purchased? Tedious. Creating a custom search engine to do it automatically? Smart. Appending my Amazon affiliate code to those links to make passive income? Five head.
"while Amazon keeps a list for the most popular products in hundreds of categories, it doesn’t let you search for these lists. Search Best Sellers does." - Lifehacker
"colorful and bespoke illustrations help people feel what it's like to Shop Happy"
you can't do this on Amazon
Keyword search the 100 most-ordered products in a category.
+ See all related product categories in one shot
look beneath the surface.
- ZERO Sponsored Products
- 100% Ad-Free
- Not Ranked by Reviews
- Uncluttered by Amazon Choice
- Skip Fake Price "Deals"
Powered by Google
Google Search + Amazon Link = Shopping Bliss
10% of widget link profits support this app *
Michael would Google “Best Selling Amazon______” for the 100 most-purchased versions of an item. Emulating this Google query, Search Best Sellers was born to help people “Shop Happy” and offset waste from low-quality products.
Developing the Google Play store App, Chrome extension, and visual identity for Search Best Sellers has been no small feat. Evolution has demanded the app be ironically monetized with Amazon affiliate revenue, equipped with country-specific search options, and grown with publicity from media platforms like Lifehacker.
To date, Search Best Sellers has generated over $7,000 in passive affiliate revenue from over 300,000 search queries by 50,000+ shoppers, effectively sustaining itself indefinitely. Recently, a “widget generator” was create to let affiliate marketers create their own embeddable revenue-generating version of search engine.
Currently, thanks to employing the skills of talented developer Kundan Ranka, Search Best Sellers has been designed with html, css, and jQuery on a foundation of Python Django, deployed on Heroku with logs on Mongodb and user info on Postgres.
