I spent months building an AI-powered crypto research platform. Here's what surprised me.
Hey everyone 👋
Over the last few months, I've been building CoinAstra, an AI-powered platform designed to simplify crypto research.
As an engineer, I thought building the product would be the hardest part.
It wasn't.
The hardest part has been distribution and understanding what users actually want.
A few things surprised me:
• Most investors spend more time collecting information than analyzing it.
• Information overload often leads to worse decisions, not better ones.
• A handful of engaged users provide more value than hundreds of anonymous visitors.
• Launching is much harder than coding.
CoinAstra is still in its early stages, and I'm actively iterating based on feedback.
If anyone is interested in checking it out, you can find it here: https://coinastra.com
I'm curious:
How did you get your first 100 users?
What distribution channels worked best for you?
What's one lesson you wish you knew before launching?
Would love to learn from other founders and would greatly appreciate any feedback on CoinAstra as well 🚀
What stood out to me wasn't the distribution challenge.
It was the phrase "understanding what users actually want."
I've noticed those can sometimes get tangled together because the users who find a product first aren't always the users whose behavior should shape it.
The tricky part is that both groups can generate feedback that sounds equally convincing.