Wednesdays are usually the most challenging day to stay focussed for me and I was wondering how you manage to remain productive/motivated on an off day.
I keep seeing the same pattern across early-stage teams:
the MVP works until it really doesn t.
For many founders, the hardest part isn t getting something online it s everything that comes after: infra that cracks under real users code that no dev wants to touch rewriting the whole stack AI-built projects no one can maintain the moment you realize your prototype isn t a product
We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.
For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.
Over the years working for agencies I've become quite familiar with tools like @asana and @Jira , also with @Trello for personal projects. But I was wondering, are these the most used or are these just the ones I've been exposed to? Are there better options? Would love to hear your thoughts down below!
What are some of the most exciting and innovative AI-powered design projects that you have seen or worked on? How do you envision the future of product design and the role of AI in shaping it?
And it can be challenging to keep up! How do you supercharge your community growth? I don't understand how some communities really explode overnight suddenly. If you've cracked the code on building a thriving community, share your tips and tricks.
I strongly believe the first 1,000 users should be chosen for learning, not reach.
At this stage, raw signup volume can hide more than it reveals. What matters is whether users experience the problem often, try the product in real workflows, and give feedback that leads to better onboarding, positioning, and product decisions.
