Over the last few years, I’ve built 5+ failed products. Each time, I ran into the same problems—either the idea wasn’t needed, competition was too strong, or I missed critical insights before building.

To avoid making the same mistakes, I analyzed 180K+ Product Hunt startups (from its inception to now). I filtered 35K products with 100+ upvotes, identified 7K+ that failed, and used AI to analyze why they died and how they could have been improved.

I also spent 2 months tracking Reddit in real-time, collecting 100K+ posts, and filtering 5K+ where users explicitly asked for software solutions—essentially uncovering real pain points.

This project is my attempt to help others (and myself) build better products by learning from past failures and understanding real demand.

Sample file is in the link near the title. Let me know if you any one need a full dataset.

Would love to hear your thoughts.