4 items
Generate optimized boolean search queries for Google X-ray, GitHub, and LinkedIn with native facet filters. Boolean Query Generator Generate optimized boolean search queries for Google X-ray, LinkedIn, and GitHub to find candidates faster. Stop wasting time crafting complex boolean searches manually. The Boolean Query Generator creates optimized search queries for recruiters and sourcers, automatically handling platform limitations. 3 Search Platforms: Google X-ray Search - Find LinkedIn profiles via Google - Automatically respects 32-word limit - Generates strict (AND) and broad (OR) skill variations --- LinkedIn Native Search - Search directly on LinkedIn with precise filters - Location, company, industry, school, job title facets - Offline autocomplete - no LinkedIn login needed - Operator Hack Mode bypasses the 6-operator limit --- GitHub User Search - Find developers by language and location - Handles 256-character and 5-operator limits - Auto-splits queries for full coverage **Key Features:** - One-click query execution - opens searches in new tabs - Copy individual queries or all at once - Save presets for recurring searches - Full history of generated queries - Real-time validation with length indicators **100% Privacy Focused:** - All data is stored locally in your browser - No external servers, no tracking, no ads - Works completely offline Built for recruiters, sourcers, and talent acquisition professionals who need efficient candidate sourcing.
Jan 14, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.