Serra

Hi everyone, Alan from Serra here! Excited & nervous to launch haha! ✅ Our goal at Serra is to make it easy to find better, more relevant candidates immediately through natural language search. We accomplish this by building a vector-based search engine on top of ~1 billion candidates across LinkedIn, Indeed, and Github. 🔍 A search works in 3 steps: 1. Type who you're looking for. This can be as simple as "show me people that sell to SMBs" or as complicated as "Find senior data scientists in SF with expertise in ML, Python, and R in a healthcare setting, and have STEM degrees from the top 10 engineering programs in the US"! 2. Check the generated keyword filters. You can edit fields ranging from "Past Job Titles" to "Funding Stage" or rely on the ones Serra generates out of the box. 3. Sit back and let Serra do the rest! We take your search parameters, display the results, and rank them in terms of best fit. We also surface summaries for each profile and why they showed up in your search. 📣 For the free options, we're doing 2 free searches limited to ~40 results each, and no email contact info. We're early and iterating daily, so please do let us know any and all feedback! If you're interested to find out more about the premium version, book a demo with us at https://calendar.app.google/5CkC...!

Looks really promising! Great job team. A quick question: does it also prioritize people who are looking out for a job "Open to work". I understand most of the people who are not actively looking out for something might increase the bounce/no-show rates. Nonetheless, great product, excited to see it doing wonders!

Where do you get the candidates' database from?