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Claude Code Optimization Exposes Your Token Waste
Most Developers Are Using Claude Code Wrong Kim Jongwook · 2026-04-27 Meta description: Learn 5 Claude Code power skills to slash token costs 60–80% while shipping faster with Graphify, Firecrawl, NotebookLM, Awesome Design, and a smart router. Related: Claude Code Auto Mode: Smarter Permissions for Devs Related: Claude Code Productivity Gap: 10 Pro Tips | Guide Related: Claude Advisor Exposes…
Lovable Connectors: ElevenLabs, Perplexity, and Firecrawl
https://signaldigital.net/2025/12/24/lovable-connectors-elevenlabs-perplexity-and-firecrawl/
#lovable #elevenlabs #perplexity #firecrawl #signaldigital
AI crawler Firecrawl raises $14.5M, remains to be trying to rent brokers as workers
Firecrawl’s co-founder and CEO Caleb Peffer knew the precise second he discovered the investor to steer his Collection A. He was in a espresso assembly with Nexus Enterprise Associate’s Abhishek Sharma on the Blue Bottle in San Francisco’s South Park (a favourite VC hang-out). Whereas describing the way forward for the corporate, he was gesturing so animatedly that his chair tipped over. “I…
Y Combinator startup Firecrawl is ready to pay $1M to hire three AI agents as employees
[TECH AND FINANCIAL] Y Combinator-backed startup Firecrawl is back on the hunt for AI agent employees. As we reported back in February, its first attempt didn’t yield an AI worth hiring. But it’s now placed three new ads on YC’s job board for “AI agents only” and has set aside a $1 million budget total to make it happen. Within about a week after the new job posts went live, it had about 50…
Y Combinator startup Firecrawl is able to pay $1M to rent three AI brokers as staff
Y Combinator-backed startup Firecrawl is again on the hunt for AI agent staff. As we reported again in February, its first try didn’t yield an AI price hiring. But it surely’s now positioned three new adverts on YC’s job board for “AI brokers solely” and has put aside a $1 million funds whole to make it occur. Inside a couple of week after the brand new job posts went dwell, it had about 50…
看看網頁版全文 ⇨ 用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl https://blog.pulipuli.info/2025/01/using-a-web-crawler-as-difys-knowledge-base-firecrawl.html Dify的知識庫能夠取自網路資料，再搭配我們自架的Coolcrawl來取代公開服務Firecrawl，就能夠抓取內部區域網路裡面的網路資料。 接下來就讓我們來看看這要怎麼實作吧。 Dify's knowledge base can draw from online data, and by combining it with our self-hosted Coolcrawl (instead of the public service Firecrawl), it can also crawl data within the intranet. Let's take a look at how to implement this.。 ---- # Firecrawl 大型語言模型專用爬蟲 / Firecrawl: A Web Crawler for Large Language Models。 https://www.firecrawl.dev/。 Firecrawl 是一款專為大型語言模型（LLM）設計的網路爬蟲工具，它能將整個網站轉換成適合 LLM 使用的 Markdown 格式或結構化資料。 與傳統爬蟲不同，Firecrawl 不需要網站地圖，就能自動抓取網站及其所有可存取的子頁面。 這項功能讓使用者可以輕鬆地從任何網站擷取內容，進而將這些資料用於訓練大型語言模型或建立檢索增強生成（RAG）系統。 Firecrawl 特別擅長處理使用 JavaScript 動態產生內容的網站，並能將這些內容轉換成 LLM 可以理解的格式，這在處理現代複雜網站時非常重要。 Firecrawl 提供多種使用方式，包括 API 介面和 SDK (軟體開發套件)，方便使用者將其整合到不同的專案中。 它不僅支援抓取網頁內容，還能進行資料清理和擷取，確保產出的資料品質。 Firecrawl 就像一個智慧機器人，從使用者提供的網頁開始，自動找到並存取網站上的所有其他頁面，擷取主要內容、並去除廣告等不必要的元素，然後將這些資訊整理好，方便使用者使用。 https://github.com/sugarforever/coolcrawl/blob/main/README.md。 Firecrawl雖然有在GitHub上開放部分程式碼，但本身還是需要仰賴它的雲端服務才能運作。 ---- 繼續閱讀 ⇨ 用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl https://blog.pulipuli.info/2025/01/using-a-web-crawler-as-difys-knowledge-base-firecrawl.html
看看網頁版全文 ⇨ 用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl https://blog.pulipuli.info/2025/01/using-a-web-crawler-as-difys-knowledge-base-firecrawl.html Dify的知識庫能夠取自網路資料，再搭配我們自架的Coolcrawl來取代公開服務Firecrawl，就能夠抓取內部區域網路裡面的網路資料。 接下來就讓我們來看看這要怎麼實作吧。 Dify's knowledge base can draw from online data, and by combining it with our self-hosted Coolcrawl (instead of the public service Firecrawl), it can also crawl data within the intranet. Let's take a look at how to implement this.。 ---- # Firecrawl 大型語言模型專用爬蟲 / Firecrawl: A Web Crawler for Large Language Models。 https://www.firecrawl.dev/。 Firecrawl 是一款專為大型語言模型（LLM）設計的網路爬蟲工具，它能將整個網站轉換成適合 LLM 使用的 Markdown 格式或結構化資料。 與傳統爬蟲不同，Firecrawl 不需要網站地圖，就能自動抓取網站及其所有可存取的子頁面。 這項功能讓使用者可以輕鬆地從任何網站擷取內容，進而將這些資料用於訓練大型語言模型或建立檢索增強生成（RAG）系統。 Firecrawl 特別擅長處理使用 JavaScript 動態產生內容的網站，並能將這些內容轉換成 LLM 可以理解的格式，這在處理現代複雜網站時非常重要。 Firecrawl 提供多種使用方式，包括 API 介面和 SDK (軟體開發套件)，方便使用者將其整合到不同的專案中。 它不僅支援抓取網頁內容，還能進行資料清理和擷取，確保產出的資料品質。 Firecrawl 就像一個智慧機器人，從使用者提供的網頁開始，自動找到並存取網站上的所有其他頁面，擷取主要內容、並去除廣告等不必要的元素，然後將這些資訊整理好，方便使用者使用。 https://github.com/sugarforever/coolcrawl/blob/main/README.md。 Firecrawl雖然有在GitHub上開放部分程式碼，但本身還是需要仰賴它的雲端服務才能運作。 ---- 繼續閱讀 ⇨ 用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl https://blog.pulipuli.info/2025/01/using-a-web-crawler-as-difys-knowledge-base-firecrawl.html
