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.

Some tools just feel more reliable even if the backend models are similar. Is it the tone, layout, citations, or transparency of the process? What gives you confidence to act on what AI says?

I noticed an interesting pattern in my surroundings:

1. People are very sensitive about their data (GDPR, etc.)

2. But the same people are willing to share their health, partner problems, intimate relationships, etc., with LLM.

Chat GPT becomes a therapist.

To the sellers of upvote bots:

You're not "supporting" makers. You're misleading the community.

Product Hunt was built to surface genuinely useful, creative, and innovative products. The moment fake upvotes flood the rankings, it becomes harder for real builders to gain visibility and easier for spam and mediocrity to win.