How often do you change the cost of your product?

Do you use any frameworks to decide when to change the price as you add more big features?

Between 10 tabs, 6 spreadsheets, and 3 time zones launching products online can feel like a warzone.

Curious to hear from founders, marketers, and ecommerce folks:

What slows you down the most?

Is it supplier chaos, lack of standardization, or platform-specific tweaks?

As a small team, we need honest, targeted insights, but we haven t even set up a feedback loop yet. How can small teams get actionable feedback from potential customers without getting buried in vague comments?

I m curious:

• Have you found short surveys more effective than quick one-on-one calls or in-app prompts?

• What questions did you ask to cut through generic looks good replies and reveal real pain points?

• When did you first reach out right after signup, post-demo, or on a regular schedule and how often did you check in?

• Finally, what lightweight tools or simple templates made the process easy for your users and team?

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Hi PH Community,

I'm currently building a health-focused platform where users are rewarded for taking care of their well-being. The idea is to create a positive feedback loop help people stay healthy while contributing to a larger ecosystem of wellness.

I'm working solo right now handling everything from development to outreach. Before this, I collaborated on a few other projects, but it s tough to find people who share the same level of commitment and vision.

Since most of my target audience is in the West and I m planning to incorporate the company in the US, I m looking for a potential co-founder based there someone who deeply resonates with the mission.

Now, the trend seems to be growing. As companies focus on cutting labor costs and investing in AI tools, entry-level opportunities are shrinking. There s a concerning rise in unemployment among fresh graduates. It s not just about automation, AI investments may be crowding out budgets that were once reserved for hiring and training new talent.

But here s the question:

When ChatGPT was at the beginning, I and most of my colleagues used it as an enhancer for our work - mostly code and research - much like a person would use Google but more direct, saving time instead of browsing more websites. We'd have a question about our work and talked to an AI expert (that wasn't that good before) to find out the answer. No more, no less.

Today, I see a LOT of people writing entire apps, writing entire essays, university thesis paragraphs, marketing messages, emails and talking to AI non-stop while working, following it blindly at this point. The worst part: sometimes it takes way longer to repair/edit/debug/update what AI produces than would have taken to even learn to do the thing yourself.