Go to section
Sponsor
MongoDB - Build AI That Scales
🗄️ Database
Modelscope
Featured matches
-
New Features & Enhancements: • AI Chatroom: Introduced a revolutionary multi-AI conversational environment. Users can now invite multiple AI models into a single chat session, directing messages to specific AIs for their input. This enables complex collaborative tasks, comparative analysis, or simulated debates between different models, with each AI having access to the full conversation history. Responses are manually triggered, providing users with precise control over the interaction flow. • AI Coder: Launched a dedicated, AI-powered coding workspace. This feature allows users to leverage AI models for code generation, debugging, and iterative development. Users can provide prompts to build new projects, import existing code files, and receive AI-generated code suggestions and modifications, complete with diffs to track changes. The Coder environment is designed to accelerate software development workflows by integrating powerful AI capabilities directly into the coding process. • Improved Model Browser Filters: Enhanced filtering options in the Model Browser for more granular discovery of AI models based on advanced capabilities and pricing tiers. • Performance Optimizations: General improvements across the platform for faster load times and a smoother user experience. Bug Fixes: • Resolved minor UI inconsistencies in the chat interface. • Addressed an issue causing occasional delays in model response times. -

-
Alex Tetereb🙏 35 karmaAug 16, 2025@MCP ShowcaseI 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! -

-
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. -

-
Waitlist

-
Open

-

Other tools
-
Hi Taaft community! I’m the creator of ConceptViz. We built this tool specifically for educators and researchers who deal with complex information daily. ConceptViz uses AI to instantly transform dense lesson plans, curriculum notes, or research frameworks into clear, structured diagrams. Our goal is to help K12 teachers make abstract concepts tangible for students and to help researchers map out logical workflows without the manual drudgery of drawing. I’d love to hear how this fits into your academic or classroom workflow—your feedback will help us build a better tool for the education community! 🚀
- Sponsor
MongoDB - Build AI That Scales🗄️ Database -
This is without doubt, the fastest and easiest way to compare and test different AI models side by side
-
VModel provides rich AI model resources, clothing display picture shooting becomes very easy!
-
- Didn't find the AI you were looking for?
-
Is it amazing but the gou requirement is high which regular people cannot try
-

