Hey everyone!
I've been spending a lot of time analyzing AI startup journeys and their common patterns. As a tech enthusiast, I noticed that many brilliant founders get stuck on basic processes instead of focusing on their AI innovations. The knowledge of what works is out there, but it's scattered across countless forums, interviews, and case studies.
So I decided to organize all of this into a practical toolkit. I'm working on things like:
- Technical requirement frameworks
- Implementation guides
- Planning templates
- Resource allocation tools
I'm planning to launch this at the end of March. If you're building an AI startup or planning to start one, and this sounds useful, I've put together more details here:
https://docs.google.com/document/d/1QlybROc8Jn3494l22ixRpk1obFvxEfGWOAgcWJdQ2gc/edit?usp=sharing
Would love to hear your thoughts or experiences with similar challenges. What processes do you find yourself having to figure out from scratch?
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