I've tried browse.ai but it's doesn't seem to be working for me. Any suggestions?! Thanks! Source: almost 2 years ago

I tried browse.ai and was easily able to extract a list containing the names & emails of one group, but didn't see a straightforward way to take that list and turn it into a Google Workspace mailing list group. Source: about 2 years ago

▸ Mem.ai – AI knowledge assistant. ▸ Getodin – an advanced ChatGPT alternative that will do the work for you. ▸ Lavender – sales email coach & personalization assistant. ▸ Otter.ai – a tool that will make notes while you speak in meetings. ▸ Browse.ai– easy way to extract and monitor data from any website. ▸ Tome – building storytelling presentations with the help of AI. ▸ Spellbook – create contracts, human... Source: over 2 years ago

Mentioning. Its real! For Android. And the browser Wave AI. But I think Browser AI is better. N the Tappa keyboard is the best AI keyboard. Browse AI is a web browser app that incorporates chatbots to assist users with various tasks. The chatbots you mentioned - Max and Ava - are likely designed to provide personalized assistance, while the other bots are geared towards specific functions such as content creation... Source: over 2 years ago

You could take a look at https://browse.ai. Source: over 2 years ago

Kadoa | UX Designer/Frontend Developer | Remote | Full-Time | https://kadoa.com We’re 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 “no-bullshit” 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