Alira Salu

Focusing on signup momentum is fun but customer cancellations quickly shift your focus once revenue is involved.

A lot of cancellation reasons boil down to routine integration rather than minor feature requests. Fixing how a product fits into someone's workday is a much tougher challenge than just shipping another update.

Do experienced founders eventually get used to churn or do you just build faster ways to analyze and act on user cancellation reasons?

I have used a few products to vibe-code my applications. The first one I used was Chatgpt. From this, I created my first application and it had a very average UI. I was using nextjs for frontend and backend, so for me, the backend part took time but it was decent.
The second product which is good enough for me currently is Gemini. This creates a very good UI and backend at the same time. The first time I used it, it was a super upgrade in the UI. I also used Lovable to create one practice project, but I don't know why I did not used again.

I also heard people's suggestion of using different AI's like claude, cursor etc. but moving in to a different platform has some friction.
What AI is most used or easiest to build an application? I recently heard of a new AI called Emergent, which creates the whole application with a single prompt.

I d love to share a few things I figured out while preparing our Product Hunt launch - and I'd love for experienced makers and hunters to add their own advice.

Here s what I learned:

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If possible, include real people even briefly. Seeing the makers behind a product can create more trust and connection.