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We have collected here some useful links to help you find out if Kadoa is good.
Check the traffic stats of Kadoa on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Kadoa on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Kadoa's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Kadoa on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Kadoa on Reddit. This can help you find out how popualr the product is and what people think about it.
Kadoa | Software & Data Engineers | Remote | Full-Time | https://kadoa.com We are building the web data layer for finance. Our coding agents build, monitor, and repair deterministic ETL pipelines that produce the most reliable datasets for investors. We serve many of the top hedge funds and asset managers. Open roles: - Senior Software Engineer: https://www.kadoa.com/careers/senior-software-engineer - Web Scraping... - Source: Hacker News / 6 days ago
Kadoa | Software & Data Engineers | Remote | Full-Time | https://kadoa.com Kadoa is the web data layer for finance. We use coding agents to build, monitor, and repair deterministic data pipelines for investment firms, so they can make faster and better decisions. All founders have spent years in the trenches writing web scraping and ETL code and still do it almost every single day. We are growing fast, have a... - Source: Hacker News / about 1 month ago
Kadoa | Multiple roles | Remote | Full-Time | https://kadoa.com Weโre on a mission to give humans and LLMs reliable and fast access to web data. Web scraping used to be the same for decades (brittle scripts that break constantly). We're automating that end-to-end with LLMs that build and maintain data pipelines. We're also heavily focused on making ethical scraping the default (robots.txt checks, rate limiting,... - Source: Hacker News / 7 months ago
Kadoa | Web Scraping/Software Engineer | Remote | Full-Time | https://kadoa.com Weโre automating web scraping at scale with AI. Web scraping used to be the same for decades (writing and maintaining a rule-based script for each source), and we're fully automating that process with LLMs. - 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 / about 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years 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 3 years ago
We're using LLMs to generate web scrapers and data processing steps on the fly that adapt to website changes. Using an LLM for every data extraction, as most comparable tools do, is expensive and slow, but using LLMs to generate the scraper code and subsequently adapt it to website modifications is highly efficient. Try it out https://kadoa.com. - Source: Hacker News / about 3 years ago
- The functions will help to reliably build our data transformation steps (e.g. Mapping different sources into the same structure) If you want to try out: https://kadoa.com. - Source: Hacker News / about 3 years ago
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