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SureThing.io - "OpenClaw" for BeginnersTask automation
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Kwan Kim🛠️ 1 tool 🙏 6 karmaMar 18, 2026@OddsmythHey! I'm Kwan, the solo founder behind Oddsmyth. I built this because I play in 2 Yahoo H2H fantasy baseball leagues and was spending 30+ minutes every morning researching lineups, scanning the waiver wire, and evaluating trades. The tools I tried (FantasyPros, Yahoo's built-in recs) all had the same problem: they don't know my league. They give generic advice based on generic rankings. Oddsmyth connects to your Yahoo Fantasy league and actually knows your roster, your opponents, your scoring settings, and who's available on your waiver wire. You can ask it anything in plain English ("who should I start today?", "is this trade worth it?", "who should I grab off waivers?") and it gives you a specific answer with reasoning based on your situation. It's not meant to replace doing your own research. It's a second opinion you can bounce decisions off of when you're torn on a close call or managing multiple leagues and don't have time to dig into every decision. The AI is powered by Claude and uses live data from the MLB Stats API, FanGraphs Steamer projections, and your Yahoo league data. You get 5 free credits to try it. Quick questions (game times, scores, injury checks) are always free. I'd love feedback from anyone who plays Yahoo fantasy baseball. What's working, what's not, what would make it more useful. I'm building this in public and actively improving it based on what real users tell me. -
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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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Of course I'm biased. This was so fun to make. Would love to hear feedback.
- SpotlightSureThing.io - "OpenClaw" for BeginnersTask automation
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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! -
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 -
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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