Nicolas Podesto Fortin @URLmind
Indie founder • moving fast 🚀 Building https://t.co/UYf7UdKp61 in public. Give your AI agents real business context from any URL. Builders — let's connect. urlmind.com Montréal, Québec Joined April 2026-
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At the core of our mission is working through how to ensure increasingly powerful AI benefits everyone. We believe that, at some point in the future, AI acceleration for frontier model development may be so high that the world will need to pace the rate of AI advancement. We hope to contribute to work led by the U.S. government, alongside other labs and the open-source community, to develop the tools and mechanisms that could make that possible. pacingthefrontier.com
AI builders Have you ever had an agent hallucinate basic business information? Hours. Services. Pricing. Policies. Drop your worst story below 👇
New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more. Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.
AI devs What format do you use to give your agents context before deployment? → Hardcoded system prompt → JSON file → CLAUDE.md / AGENTS.md → llms.txt → No standard — different every time Curious how people are actually solving this..
7/ The problem? Getting all 5 formats from a business URL used to mean hours of manual work. Research. Structure. Format. Repeat. URLmind returns all 5 from one API call. In 30 seconds. Try it for Free 👇 urlmind.com
6/ MCP config — Claude Desktop. Model Context Protocol is becoming the infrastructure layer for AI agents. A pre-built server config gives your agent persistent, structured context across every session. Use MCP when: → Running Claude Desktop → Building multi-tool agent
Most AI developers don't know which format to use for business context. JSON? CLAUDE.md? MCP? Agents.md? Llms.txt? Here's the difference — and when to use each 🧵
Your AI agent reads websites the wrong way. 50,000 tokens of raw HTML. To extract 800 tokens of useful info. URLmind does that extraction for you. Clean. Structured. Agent-ready.
@BatsouElef Building a structured business context layer for AI agents urlmind.com
Things nobody tells you about building solo: → You're the dev → You're the marketer → You're the support → You're the one doubting everything at 2am And somehow that's what keeps you going
@CiprianiRanieri Urlmind.com Crawls any business URL and returns structured context for your AI agent in universal formats.
Quick question for AI developers! When you deploy an agent for a new client, what's your biggest time sink? → Setting up the model → Writing the prompts → Structuring business context → Testing edge cases
MCP config in 30 seconds. 1. Pass a business URL to URLmind 2. Get a pre-built MCP server config back 3. Drop it into Claude Desktop Your agent instantly knows everything about that business. No setup. No scraping. No prompt engineering. urlmind.com
What's the hardest part of building AI agents? How are you solving it right now?
@GithubProjects Building a tool that connects business With AI agents via MCP. Input a URL and get a complete structured context for any agents. Try it out urlmind.com
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