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What was the first thing that broke when you started scaling?
All founders and builders will have something break at some point. For us at @Finden, it was when we grew from 10 to 100 users. The data was coming in faster than expected, and our queue to process and understand it quickly became overloaded. This meant onboarding slowed down. It was frustrating at the time, but it taught us a vital lesson: always design for scale, not just for your current users.
We ve since re-architected parts of the system to handle growth much more smoothly. But that first break was a reminder that scale is the ultimate stress test.
Is AI really taking over project management? Or just rebranding automation?
There s a lot of talk about AI revolutionizing project management - predictive insights, automated reporting, even team sentiment analysis. But in practice, many tools still rely on historical data and offer results that feel more like enhanced automation than true intelligence.
Sure, it can speed up repetitive tasks and surface patterns. But when it comes to handling context, complexity, and human nuance - isn t that still our job?
Curious to hear from others! Where have you actually seen AI make a difference in managing projects?
