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Efat Borges🛠️ 2 tools 🙏 127 karmaJul 17, 2025@TicketifyAs a student juggling classes and deadlines, this tool is a lifesaver. It helps me stay on track without having to manually check everything.
Other tools
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Great idea, but does not find what you are looking for-about the same as Google Scholar
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After not even ONE try, it asks for Pro. No success, just imo developer hyper-greed. Avoid!
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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! - Sponsor
Tripo AI 3D Generator -
Great AI, provides correct solutions 98.9% of the time.
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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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For some problems, it does a good job of calculations and video explanation. However, for some, the drawings are not correct, and it left out a part of the calculation in the video (although it does calculate correctly at least). This would be confusing. An example was where I asked it to calculate the area of a circle inside of a right-angle triangle. It drew the circle outside of the triangle, and then in the calculation, it did not have the square root of a^2 b^2 to find c, but at least did that. If the tool is to be effective, it needs to be clear and accurate in order to not create further misconceptions.
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AI research finds the mispriced Kalshi bets before you wake upOpen - Didn't find the AI you were looking for?
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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. -
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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. -
Really 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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