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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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tried quickdata on a stack of rent rolls (pdf+xls), a couple T12s and one chunky OM. setup's just an excel add in, super barebones ribbon button and it goes straight to work (no gimmicks). it mapped a lot of line items correctly and dumped them into my model fast. i like that it plugs into your existing model instead of forcing theirs. a clearer "why" for each auto category would be good.
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Transform unstructured documents into actionable data instantly.Open - SponsorMongoDB - Build AI That Scales🗄️ Database
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Data narration and augmentation are valuable tools from datumfuse.ai
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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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