... feedback I actually think launching too late can be just as dangerous as launching too early. You can spend months polishing a product that users don't actually want. For me, the sweet spot is: usable enough to deliver value + early enough

... countries.) Comment from Nika(@busmark_w_nika): @bartvandekooij  Is it your case too? Comment from Aleksandar Blazhev(@byalexai): @atherkildsen  100%. Trying to be cheap is expensive. Comment from Chloe Samaha(@chloesamaha): $0 if you send a compelling enough email to these companies you'll 100% get credits. Comment from Alston Zhuang(@alstonzhuang): I think the minimum cash budget is often lower than people expect, but the minimum distribution budget is higher than people expect. You can build ... ... software product very cheaply now. The expensive part is learning whether anyone cares, getting in front of the right users, and surviving enough

... reading Nika's thread here about free vs paid features. Really made me think. Link: https://www.producthunt.com/p/ge... ( shout-out to @busmark_w_nika ! ) She talks about giving generalized advice for free, but charging for specific, tailored help. That's a good framework. But most product owners figure this out after they build, not before. That's backwards. Your free tier should be designed before you write a single line of code. Because it's not just a marketing tool ... ... still feels useful? Not the full product. Not the enterprise version. The smallest thing that makes someone say "oh, I get it now." For us, that was tracking one LLM (ChatGPT), 5 keywords, and generating 2 articles per month. Enough

... mean  what is the churn rate vs how many people will stay with you) Comment from Nika(@busmark_w_nika): @aanchal_dahiya  This can help me to better customise pricing in the future if I decide to create any tool :) Thank you :) Comment from Takahito Yoneda(@y_taka): Your general versus

... every day, but one thing is clear: simple, recurring problems are often the most valuable to solve. Comment from Navneet Chalana(@navneet_chalana): 25 years in US technology staffing. The pain was always there. I just finally got angry enough to build. A client called one day a candidate we presented had fabricated their entire employment timeline. Three companies, four years, complete fiction. Passed every manual screen. Cost us the relationship. Signals that told me it was worth solving ... ... product. They asked "can you just keep doing this?" That's when I knew. So I encoded 25 years of pattern recognition into an AI forensic engine. 4-layer check credential integrity, timeline consistency, location signals, resume vs

... Product Hunt, I can see many people launching their products using "vibe-coding tools" like @Lovable , @bolt.new , or @Replit I reckon many people who created something with them are usually developers who didn't have enough time for building a side idea before, but with AI, they could make it happen. I am not very technical (know some coding/programming basics), but without the help of a tutorial or ChatGPT, I would hardly build a whole project. Question not only ... ... refactor it from procedural code to a state machine architecture cleaner logic for handling market conditions. But back then it was the ancient era of AI coding: copy code paste into ChatGPT copy the response paste back into VS