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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
Readable Lisp/S-expressions with infix, functions, and indentation
This project is dedicated to developing more readable format(s) for Lisp-based languages (such as Common Lisp and Scheme) and implementing those formats (readers, pretty-printers, editor macros, etc.). MIT license preferred, to spread them widely.
Iterate (http://www.cl-user.net/asp/libs/iterate) patched to allow
(iter (:for i from 1 to 10) (:collect i))
instead of
(iter (for i from 1 to 10) (collect i))
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
A Preprocessor that uses the combination of Common Lisp and Qi as an advanced
preprocessor. This will make possible for quick prototyping of new languish features such as constructing a typed macros and advanced debugging facilities.