Wes Roth (@WesRoth)

Firecrawl이 새 Firecrawl CLI를 출시했습니다. 이 툴킷은 Claude Code, Codex, OpenCode 등 AI 에이전트들이 웹 데이터를 고품질로 활용할 수 있도록 웹페이지를 원시 HTML 대신 LLM 친화적 Markdown 등으로 변환해 제공하는 것을 목표로 합니다. 에이전트용 웹 데이터 파이프라인 개선을 겨냥한 실무용 도구입니다.

https://x.com/WesRoth/status/2032018760601911367

#firecrawl #cli #webdata #agents

Wes Roth (@WesRoth) on X

Firecrawl has launched its new Firecrawl CLI, a comprehensive toolkit designed to give AI agents (like Claude Code, Codex, and OpenCode) seamless, high-fidelity access to web data. Rather than just returning raw HTML, the CLI converts any webpage into clean, LLM-ready Markdown or

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Hack the Stackathon is a one-day stress test for builders

Hack the Stackathon is a one day builder event focused on shipping real AI powered systems, not demos. It brings together serious builders to stress test ideas using real infrastructure for web data, documents, and communication, all inside a single intense day.

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🔌 #Firecrawl integration for web scraping and search: standard API key setup for contributors, partner integration option for production deployments with per-user API key management, automatic key provisioning on signup, self-healing system with fallback for invalid keys

🔍 #OpenScouts: Create #AI scouts that continuously search the web and notify you when they find what you're looking for #opensource #NextJS #React #TypeScript #Supabase #OpenAI #Firecrawl

⚡ Built with cutting-edge tech stack: #NextJS 16 with App Router & Turbopack, #React 19, #TypeScript, #TailwindCSS v4, #Supabase for database, auth & edge functions, #pgvector for vector embeddings and semantic search, #OpenAI API for AI agent & embeddings, and Resend for email notifications

🧵 👇

🎯 Supported models include #GPT-OSS-120B, #GPT-OSS-20B, #Llama4 Maverick, #Llama4 Scout, #Llama33-70B, #Llama31-8B, #KimiK2, #Qwen3-32B

🔧 Key features: deterministic inference for faster tool-using agents, cost-effective scaling, approved tool use with clear allowlists, seamless migration capability

📋 Ready-to-use cookbook tutorials with #BrowserBase #MCP, #BrowserUse #MCP, #Exa #MCP, #Firecrawl #MCP, #HuggingFace #MCP, #Parallel #MCP, #Stripe #MCP, #Tavily #MCP

Making the most out of a small LLM

Yesterday i finally built my own #AI #server. I had a spare #Nvidia RTX 2070 with 8GB of #VRAM laying around and wanted to do this for a long time.

The problem is that most #LLMs need a lot of VRAM and i don't want to buy another #GPU just to host my own AI. Then i came across #gemma3 and #qwen3. Both of these are amazing #quantized models with stunning reasoning given that they need so less resources.

I chose huihui_ai/qwen3-abliterated:14b since it supports #deepthinking, #toolcalling and is pretty unrestricted. After some testing i noticed that the 8b model performs even better than the 14b variant with drastically better performance. I can't make out any quality loss there to be honest. The 14b model sneaked in chinese characters into the response very often. The 8b model on the other hand doesn't.

Now i've got a very fast model with amazing reasoning (even in German) and tool calling support. The only thing left to improve is knowledge. #Firecrawl is a great tool for #webscraping and as soon as i implemented websearching, the setup was complete. At least i thought it was.

I want to make the most out of this LLM and therefore my next step is to implement a basic #webserver that exposes the same #API #endpoints as #ollama so that everywhere ollama is supported, i can point it to my python script instead. This way it feels like the model is way more capable than it actually is. I can use these advanced features everywhere without being bound to it's actual knowledge.

To improve this setup even more i will likely switch to a #mixture_of_experts architecture soon. This project is a lot of fun and i can't wait to integrate it into my homelab.

#homelab #selfhosting #privacy #ai #llm #largelanguagemodels #coding #developement

#Firecrawl, an #opensource #webcrawler for #developers and #AIagents, raised $14.5 million in a Series A round led by Nexus Venture Partners. The company, which is already profitable, plans to use the funds to expand its team and develop tools to help website owners get paid when AI uses their content. https://techcrunch.com/2025/08/19/ai-crawler-firecrawl-raises-14-5m-is-still-looking-to-hire-agents-as-employees/?Pirates.BZ #Pirates #Tech #Startup #News
AI crawler Firecrawl raises $14.5M, is still looking to hire agents as employees | TechCrunch

Firecrawl nabbed Shopify’s CEO Tobias Lütke as an investor from a gutsy email after they discovered he was using the product.

TechCrunch

How come all these AI companies have founders that look like this? White, young, (generally male), and totally have not ONE CARE for what this technology is doing to others! ps: I'm surprised one of them doesn't have a man-bun!

#AI #Firecrawl

https://techcrunch.com/2025/08/19/ai-crawler-firecrawl-raises-14-5m-is-still-looking-to-hire-agents-as-employees/?utm_source=flipboard&utm_medium=activitypub

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