Wishupon 2.0

Create & share shopping wishlists, get discount alerts

WISHUPON is a universal shopping wishlist app allows you to create & share wishlists and grab the most competitive prices.

🛍 Browse +1000 stores and save products in one place

📲 Collect from anywhere such as Safari, Chrome, Instagram, and other shopping apps

🔔 Get notifications when the price drops!

🔖 Simply share your wishlists with everybody

Around the web


Kevin Park
Seongju Lee
 +4 reviews
  • Kevin Park
    Kevin ParkCEO / Creative Director / Founder

    - Clean UI/UX

    - Very easy to save times that I want


    - So far so good

    Great Job :)

    Kevin Park has used this product for one month.


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Jihyung Kang
Jihyung KangMaker@jihyungkang · CTO @WISHUPON
Hi Product Hunters! I am super excited to introduce WISHUPON to you all. If you find wish item during shopping on mobile, how do you keep track? I usually took screenshot or copied the URL. But it was too hard to remember later. So we built WISHUPON. You can save any item from any stores into one app, by simply browsing +1000 stores in our app or using Share Extension on browser/other shopping apps. Then, we send notification when the price drops! From we launched our official version a year ago, we upgraded to support share wishlists. You can simply post wishlists on the web. Welcome to have a look my wishlist 👉🏻https://wishupon.app/wishlists/K... Hope our app helps you to remember your valuable wishlists and share it with your friends. Happy to have your feedback and excited to see your wishlists!
Donny Ouyang
Donny Ouyang@donnyouyang · President, Rayku
@jihyungkang Very cool app! How were you able to extract product metadata (price, thumbnail, URL, etc) from 1000+ stores, when each website is different?
Jihyung Kang
Jihyung KangMaker@jihyungkang · CTO @WISHUPON
@donnyouyang Thank you so much! As you mentioned, the structures of the stores' pages are so much different. So we developed commerce focused scrapping technology extracting products’ metadata from the various product pages to the standardized format. It implies normalizing the structure of the web pages and applying some of the machine learning. This technology supports our service to quickly expand the coverage of the stores for scraping the product and monitoring the prices. Furthermore, the point is that it is getting smarter on the base of the tons of products and stores data collected by users! :)