Rehashing The Ideal AI Product Powered By Supabase
It’s never too late to start an article, more so when the article promises more click-bait potential than the average documentation intro for that blazingly fast JavaScript library.
AI’s been the unwanted flagship of 2022 and is certainly growing to win that title this year as well, it’s almost outrageous how good of a response it’s gotten and it would be plain stupid to not consider building into the hype.
Yet Another Introduction
I’ve done my fair share of experimentation with AI APIs since before it was popular, not great of a brag since I’m only referring to the end of 2019, not that long ago in normal years but eons in tech.
WITAS and SummonAI were the products on which I worked the most and had the best outcome, SummonAI released about a year ago got to 7.3K users on Figma and WITAS won the Supabase Hackathon Week 8 overall prize.
I investigated the reason why those 2 side-projects have performed extraordinarily well compared to my other attempts. Had I gotten better at design and development or was it simpler than that ⚡️?
Sharing my thought framework of building a product after numerous failures is a common subject in the community, here I’ll outline how it shifted and what I’m building next.
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