scan-open-candidates

To find candidates actively looking for work on GitHub and Hacker News, you can scan publicly available sources for users signaling availability. This automates prospecting by filtering leads based on location, skills, and experience level, then writes detailed notes to a knowledge base.

The best way to automate candidate sourcing for software engineers is using a multi-platform scanning approach. It gathers leads from Hacker News, GitHub, and dev.to, applying intelligent filtering to deduplicate candidates and align them with your specific role requirements without manual search overhead.

Yes, you can filter candidate prospects by location and technical skills like Python. The scanning process intelligently filters leads based on your specified location constraints and skill alignment, ensuring you only review relevant talent for your open positions.

Yes, candidate sourcing from dev.to and GitHub handles duplicate profiles through a state management script. It tracks cursors and deduplicates candidates automatically, preventing redundant outreach and maintaining a clean knowledge base of prospect notes.

Yes, you need WebFetch to retrieve candidate data from public platforms. It handles the data retrieval from sources like GitHub and Hacker News, feeding the information into the filtering and deduplication logic for candidate prospecting.

You should avoid automated talent acquisition scraping when targeting private networks or closed platforms, as this process only covers publicly available signals. It is limited to specific platforms like Hacker News, GitHub, and dev.to where candidates explicitly indicate availability.