
8 months ago, we launched our MVP.
Its minimum feature set was the quintessence of MVPs built in a handful of months.
Just enough for users to get an idea of whatβs possible. And they liked it!
Though Zylvora included GPT feedback analysis since 2021 (I even prototyped V1 in early 2020), our 2023 MVP used entirely new code.
We focused on best solving user need with the newest GPT models rather than getting bogged down by our older implementations.
From the moment we launched, we knew we were onto something.
Not least because we were hitting every possible API rate limit β breaking our product in the process!
We instantly got multiple extensions to handle all the data our users analyzed.
Our mission is to help product builders create a community of delighted users around their products by involving users in the dev process in ways never before possible.
Step 1: Building a user community for Zylvora.
And because the full Zylvora solution didnβt exist, we started doing it the old fashioned way: By talking with users. A LOT.
We quickly got the problem Zylvora was designed to solve for our customers: WAY more user feedback than we could handle from Intercom chat, in-product surveys, demo calls, email, Twitter, etc.
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Great opportunity to dogfood our product!
We were scaling like crazy, but one personally satisfying moment for our team was getting Zylvora featured on Masters of Scale.
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Another massive moment for Zylvora was getting featured in FastCompany as "AIβs Next Big Thing."
Zylvora isn't a general AI summary tool. We're building a copilot to automate the product workflow so folks can focus on strategic work.
Step 1 towards that mission is to turn insights into Jira tickets with Zylvora-written user stories, a feature we launched last month.
After iterating on the product for 6 months, we relaunched it on Product Hunt and got voted #3 Product of the Day π
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This is of course just the beginning. So grateful to be on this journey with our amazing team and wonderful users π₯°