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How to know if a problem is worth building a product around?
Ever been so annoyed by a problem you thought someone needs to fix this ? That s where a ton of great products start. However how do you really know whether this frustration is worth building a product around, or if it's just a personal annoyance?
This was the first question @mwamedacen and I asked ourselves when we considered launching 1Stroke - an AI tool that generates and rephrases smart replies anywhere on the web with just a right-click.
Our pain point? We used to spend hours writing and rewriting professional emails and social media content, only for them to be read in mere seconds.
Which companies do you think will completely use AI instead of human beings?
More big tech companies bet on AI instead of employees.
@Duolingo is starting to prioritise AI over employees and contractors.
@Shopify is planning on going "AI first."
@Fiverr CEO Micha Kaufman just sent his employees the most brutally honest email: "AI is coming for your jobs. Heck, it's coming for my job too."
Firecrawl hires AI agents and has a Slack channel solely for AI agents.
Is it just me or it is kind of hard to find people to build something with?
Hey,
I ve been a software engineer (backend) for over nine years and have been wanting to build something on my own for a while now. I have ideas, good planning skills, and the discipline to execute, but unfortunately, I lack the experience as an entrepreneur, which I believe is an important aspect. This has led me to consider finding partners to help me bring my ideas to life or collaborate on new projects. However, it s been challenging to find people who are committed, structured, have a long-term mindset, and maintain positive energy.
Many people get excited about a project initially, but then they disappear or lose interest when results don t come quickly. And unfortunately, I m not in a position to hire people at the moment.
Has anyone else been through this? How have you found people who are truly committed to the long haul?
How to break down AI product adoption barriers?
Have you ever considered the human biases that might slow down the adoption of your product?
I'm currently working on building my first AI product (coming soon!), and I wanted to share some thoughts on the adoption challenges I anticipate.




