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Paul🙏 27 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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Hi everybody, Pablo here from Unbiased Ventures. I gave ourselves a 4 because we can always improve and would love to get your feedback to do that! Super thankful you are here and thanks for the attention. -
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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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O GPT faz uma análise melhor e mais personalizada.
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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!👏
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Love it! This website saved me a number of times in my Chinese-taught classes. As a non-native speaker, I can actually follow what the teachers say and get back any time.
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Great workflow tool with a good deal of nodes. Very easy to use. Can create AI app in minutes.
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