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Find Your Ideal IT Career Path in Minutes - Backed by PsychologyOpen
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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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I needed my company to show up better on AI search and Dual Web delivered! I am seeing more qualified leads come through from ChatGPT than ever before and their tracking and implementation makes the process seamless. Would recommend for any business wanting to ensure they're able to be seen by AI bots.
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I am honestly impressed by the quality of questions generated. Looks better than the other study tools so far.
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Slash 70% time-to-hire with one-way video interviewsOpenA perfect solution for candidate screening! 🔥 Very convenient and efficient for interviews. Saves time, automates the process, and helps quickly assess candidates. Highly recommend! - SpotlightAdaptTask automation
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Historical philosophers debate your business dilemmas and deliver decision frameworksOpenThe idea is cool, doesn't really live up to expectations though. -
OpenMultiple models reviewing content is so helpful because we can better understand when there's a strong case for X, or divergences about Y, and ultimately get a more full understanding because of that. Great work! -
The tutor mode is amazing. It helped me understand the equation and how I can solve it step by step with the explanation.
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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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Demystifying Experimentation and Causal InferenceOpen
