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Sankari Nair🛠️ 1 tool 🙏 5 karmaAug 12, 2025@RecallChat with a knowledge base is an absolute game-changer for the knowledge management space. Using it for my longevity protocols and sleep optimization. -
I recently started using Napkin AI, and I couldn't be more impressed! This tool is incredibly user-friendly and intuitive, making it easy to generate clear visual representations from text. Moreover, the interface is clean and visually appealing, which enhances the overall user experience. Napkin AI is a fantastic companion. Highly recommended for anyone looking to elevate their creative process! -

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Emergent is the first agentic vibecoding platform built for serious builders. If you’re pouring time, money, and energy into building a product that matters, you deserve a platform that takes your ambition seriously. As your AI-native product engineering partner—wired to think in systems, not snippets—Emergent transforms natural conversations into production-grade, full-stack applications without requiring developers. It doesn’t just ”help you code”—it builds end-to-end: real databases, working APIs, secure authentication, production-ready infrastructure, and all the glue in between. Emergent conducts thorough research and deep product planning, developing -

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Gemini — v3.1 ProUpgraded Pro-tier reasoning for harder multi-step problems. Better handling of novel logic patterns and unfamiliar reasoning setups. Stronger “intelligence applied” output quality, producing clearer, more useful explanations and syntheses. More capable support for agentic workflows and longer-horizon task execution. Rolling out as the new Pro model across Gemini app, NotebookLM, Gemini API, and Vertex AI. -
Claude — v4.6Claude Sonnet 5 Release and access: ships as claude-sonnet-5-20260203, available via Anthropic API, Claude Pro, and Google Vertex AI. Coding benchmark jump: posts 82.1% SWE-Bench Verified, positioned above Claude Opus 4.5 at 80.9%. Pricing reset: priced at $3 per 1M input tokens and $15 per 1M output tokens, framed as a major cost drop vs Opus 4.5. Massive context: 1,000,000-token context window for repository-level understanding, whole-codebase prompts, and large refactors without chunking. Agentic engineering stack: built for multi-step workflows with built-in code execution and self-correction, plus a “Dev Team” mode that spawns parallel sub-agents for implementation, testing, and review.
