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Paul🙏 28 karmaMar 11, 2026@SquareGenReally interesting approach with SquareGen. Quick observation: the product is framed as LLM credit scoring, but lenders don’t buy models — they buy lower default rates. If a lender with a $100M book drops defaults by even 1%, that’s ~$1M saved annually. Positioning around credit loss reduction could massively change the commercial narrative. Happy to share a few thoughts. -
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OpenI tested the product on my own idea and was really satisfied with the result. The analysis feels structured, professional, and much more grounded than a typical LLM chat. It helped me see both the strengths and weak points of the idea and made me want to run it again with a more thoughtful input. I also liked the detailed AI analysis logging, the debate flow, and the potential/readiness matrix. Even after one run, the product already feels valuable for a founder. With deeper UX/UI and technical development, I can see strong potential in it. -
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Instead of wasting weeks searching, Evalyze did the hard work for us. Just from our deck, it matched us with investors that aligned exactly with what we’re building. A total game-changer.
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Parsers VC is an amazing tool that helps me predict investments and find the best venture matches. It has a lot of useful data and filters that make my research easier and faster. I’m very impressed by it!👏
