At Jigsawstack, we're committed to building finely-tuned custom models that take the heavy lifting off your shoulders. Our APIs are designed to seamlessly integrate into any tech stack, enabling you to ship faster and focus on what truly mattersโinnovating your product. One of our most popular offerings is the AI Scraper API, which intelligently scrapes websites without the need for custom CSS selectors, saving you time and effort.
Our vision is to continually expand our API offerings, ensuring that once you integrate Jigsawstack, you have access to a suite of powerful, custom AI features that deliver quick, reliable results. We're dedicated to helping you accelerate your development process and achieve your goals faster.
Based on our record, Kadoa should be more popular than JigsawStack. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
JigsawStack | https://jigsawstack.com | Full Stack AI Engineer | San Francisco, London, USA Preferred and USA (Hybrid) JigsawStack provides a suite of small models that automate the boring and complex tasks in every tech stack, powering thousands of developers with millions of API requests. JD & Apply here: https://jigsawstack.com/careers. - Source: Hacker News / 9 months ago
Kadoa | UX Designer/Frontend Developer | Remote | Full-Time | https://kadoa.com Weโre automating web scraping at scale with AI. But we can't do it alone. We are looking for people who share our passion for software craftsmanship, data, and AI. We are growing fast, have a โno-bullshitโ policy, and are very execution focused. We have openings for: - Senior Software Engineer:... - Source: Hacker News / 2 months ago
Kadoa | Senior Software Engineer | Remote (Europe) | Full-Time | https://kadoa.com At Kadoa, we are building the foundational infrastructure for unstructured data ETL. We enable any organization to instantly transform unstructured data (websites, documents, emails, etc.) into structured insights - without code or maintenance overhead. We are VC-funded with strong traction. There are two official roles, but we... - Source: Hacker News / 9 months ago
We've been working on AI-automated web scraping at https://kadoa.com and our early experiments were similar to yours. We started when only the expensive and slow GPT-3 was available, which pushed us to develop a cost-effective solution at scale. Here is what we ended up with: - Extraction: We use codegen models to generate CSS selectors or XPath extraction code. This is more efficient than using LLMs for every... - Source: Hacker News / about 1 year ago
> Data extraction/structuring data is the only serious application of LLMs I fully agree. I realized this early on when experimenting with GPT-3 for web data extraction. We then started seeing a lot of demand for automating rule-based web scraping stacks (lots of maintenance, hard to scale), which led to the creation of our startup (https://kadoa.com). AI won't eliminate our jobs, but it will automate tedious,... - Source: Hacker News / over 1 year ago
You're right, LLMs are really good at extracting and structuring data from third party sources. I've been working on a "Zapier for data extraction" for this reason: https://kadoa.com. - Source: Hacker News / about 2 years ago
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