Sign in
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace HAQM Web Services Home Help

Tech Exec & Mentor/Volunteer

  • By Non-Profit Organization Management
  • on 02/26/2025

What do you like best about the product?
I've used Superblocks in conjunction with Supabase for a project for a non-profit association for membership data management. I've used several other no/low-code platforms before and Superblocks arguably brings together the best combination of functionality, granular control when needed and documentation. The development and deployment control are generally well thought through and integration with source control. The Workflow functionality is powerful; in our case, it's being used to transpose old SOAP/XML API of a legacy membership service into more flexible REST ones. Support for Python alongside JS is also a differentiator.
What do you dislike about the product?
There are a few IDE quirks, though manageable, when trying to expand windows or identifying which API is currently being edited (not enough characters to see full name at times in fields/menu). The built AI agent in the IDE can at times be a bit too intrusive and an accidental keystroke to accept suggestions can lead to some unwanted code... That's more of a getting used to thing though.
What problems is the product solving and how is that benefiting you?
Providing volunteers of a non-profit organization a visual, online tool to manage membership data and annual directory preparation. Prior method involved multiple manual steps: exporting raw data from legacy system, staging MYSQL platform, running through complex SQL scripts for data transformation, exporting to several Excel sheets, then manually sifting through to correct address formats and other field data. And all these manual corrections would not flow back into the legacy platform by virtue of its old, legacy SOAP/XML based API. With Superblock and Supabase as a DB platform, volunteers can now work in an integrated UI platform, pull legacy data, see all the needed corrections following an automated data compliance review, and directly export the resulting dataset in Google Sheets, ready for insertion in the final annual membership directory preparation. This should provide a significant timesaver on these yearly cycles.


There are no comments to display