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Kwan Kim🛠️ 1 tool 🙏 4 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. -
Its a promising project and works well so far. Wishing them all the best and godspeed. -
Building multi-agent AI systems shouldn’t require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. It’s an interactive, in-browser visual sandbox for learning, building, testing, and orchestrating multi-agent AI workflows. Instead of relying on a single AI chatbot that easily hallucinates, AgentSwarms lets you drag and drop specialized AI agents—like data extractors, code reviewers, and SQL query nodes—to handle complex tasks reliably. Key features for builders: Visual Edge Tracing: Stop guessing why your AI failed. Click any connection line to see the exact JSON data passing between agents in real-time. In-Browser Execution: Powered by local DuckDB WASM. No backend setup required. Enterprise Templates: Test reverse-engineered Agenitic AI architectures for Cybersecurity, Finance, and E-commerce and 10+ industries right on the canvas. If you are tired of black-box AI debugging and want to master Agentic AI orchestration visually, come try the sandbox for free! Let me know what you think of the new execution history features. 🚀 -
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I just published a children's drawing book on Amazon in 2-3 hours of fiddleing with this tool. Really really good! -
Ahaha Sam was really nice to me, we did some brainstorming together. It s great for getting some strategies ideas, especially if you have a small business like me -
I would call it a "documentation generator for MCP". Would be great to see support for LM Studio too. Other than that, it looks like this tool already follows the best practices for MCP docs. For example, here is a demo for web scraping with Tavily: https://mcpshowcase.com/p/mcp-server-directory/tavily-mcp-server The docs on how to connect your MCP to different AI assistants are essential, but also a pain to maintain on your own. Also nice to see the auto-generated use cases and sample chats! -
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Have AI-powered conversations with famous historical figures.Open
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AI Santa for personalized holiday moments with Advent Calendar and Radio.Open
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Used to make coloring pages for the wedding of a friend’s son. Was easy to use. Can pay monthly.
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AI spreadsheet & data analyst. 10x your productivity.OpenI use Sourcetable for quick data analysis and visualizations with natural-language queries. I'm working with Excel files and our Postgres database. It feels like an AI analyst built into a spreadsheet for turning raw data into clear reports. (Like ChatGPT + Excel, but better.) -
Create custom AI-powered Tarot decks effortlessly.Open
