Serra (YC S23)

About Serra (YC S23)

Serra (YC S23) is an AI-powered search engine specifically developed for recruiters to simplify the candidate sourcing process. It allows users to perform natural language searches to quickly find the most suitable candidates from an extensive database aggregated across platforms like LinkedIn, Indeed, and GitHub.

Review

Serra offers a streamlined approach to recruitment by enabling searches in plain English rather than relying on manual keyword input. This can significantly reduce the time recruiters spend filtering through profiles by automatically generating relevant filters and ranking candidates based on fit. As an emerging tool in the HR technology space, it aims to improve hiring efficiency without replacing the human element in recruitment.

Key Features

• Natural language search that understands detailed candidate requirements, from skills to education and location.
• Vector-based search engine accessing a database of around one billion candidates across multiple platforms.
• Automatic generation and customization of keyword filters such as past job titles and company funding stages.
• Candidate summaries highlighting why profiles match the search criteria for quick evaluation.
• Integration capabilities with applicant tracking systems (ATS) and ability to save search results and candidate lists within the platform.

Pricing and Value

Serra offers a free tier allowing users to perform two searches per day with up to approximately 40 results per search, though email contact information is not included in this plan. Paid plans provide additional features and extend search limits, currently available at a 30% discount. The pricing structure is competitive for recruiters seeking to save time on candidate sourcing while gaining access to a large and diverse talent pool through AI-assisted searches.

Pros

• Intuitive plain English search simplifies complex candidate queries without needing advanced Boolean syntax.
• Access to a vast candidate database pooled from several major job platforms.
• Dynamic filter generation helps refine searches with minimal manual effort.
• Candidate ranking and summary features save time by highlighting the best matches and relevant details.
• Ongoing improvements through feedback mechanisms that refine search results based on user input.

Cons

• Currently supports only English language searches, with other languages planned for future updates.
• Contact details are restricted in the free version, which may limit initial outreach capabilities.
• Custom models for specific industries are not yet available, which could affect precision in niche sectors.

Serra is well-suited for recruiters and HR professionals looking to streamline their candidate search process with AI assistance. It is particularly useful for those who handle high volumes of recruitment and want to reduce time spent on manual search and filtering. As the platform develops, it may also become a valuable asset for organizations aiming to improve sourcing accuracy in specialized roles.

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