I m thinking of building a simple, unbiased comparison platform for products, services, tools even technical stuff like frameworks, APIs, and AI tools to help you decide faster with clear side-by-side insights.
Personally, I often find myself deep in Amazon reviews, YouTube videos, and scattered blog posts when trying to choose something new. While some comparison sites exist, I ve never found a complete or truly comprehensive solution. The same goes for developers when exploring new frameworks or libraries with similar alternatives, a quick, focused comparison could really help clarify things.
Before going further, I d love to hear from you: Would you find this useful? Your feedback will help shaping what I build next.
We are just a few weeks away from launching and we re feeling all the things: excited, nervous, and incredibly grateful.
Our early users have given us fantastic feedback, and now we d love to hear from you - whether you are a designer, product manager, founder, or anyone building something awesome.
I'm planning my Product Hunt launch and getting conflicting advice. Some people say to do a soft launch first to test the waters, get initial feedback, and learn the platform. Others say you only get one shot at the spotlight, so you should wait until everything is perfect and go all-in.
The soft launch camp argues you can iterate based on feedback and launch again later with a better strategy. The all-in camp says featured products get 90% of the attention, and if you don't get featured on your main launch, you've basically wasted your shot.
I ve been exploring Airtop and I see huge potential for task automation using AI agents especially for repetitive workflows like form filling or actions in systems without an API.
One thing I noticed is that each time the agent performs the same action (like registering multiple people), it reprocesses the task from scratch, consuming credits for each new step, even though the logic is exactly the same.
Once I started building Lifetoon, I found myself talking to more and more founders and early-stage builders, trying to learn from their experiences, mistakes, and aha moments.
One thing that really stuck with me was how random and unpredictable the early team formation often is. I kept hearing all these great stories - from serendipitous events that sparked the idea, to unexpected ways founders met, to funny coincidences around how their first hires happened.