Our Search Methodology
A transparent breakdown of how HR Mapper constructs search queries, predicts email patterns, and processes natural language.
1. Boolean Query Generation
HR Mapper is primarily a formatting tool. It takes natural language inputs (Company Name, Location, Industry) and formats them into syntax-compliant Google search strings (Boolean queries).
The logic engine applies:
- Domain Restrictions: Using
site:operators to limit searches to public profiles on specific domains (e.g.,site:linkedin.com/in). - Title Groupings: Wrapping related HR job titles in parentheses with the
ORoperator (e.g.,("HR Manager" OR "HRBP" OR "Head of HR")). - Exclusion Terms: Using the
-(NOT) operator to remove false positives like job boards and directories (e.g.,-jobs -dir). - Entity Quotes: Ensuring multi-word companies and locations are wrapped in exact-match quotation marks.
site:linkedin.com/in ("Talent Acquisition" OR "Recruiter") "Tata Motors" "Pune" -jobs
2. Natural Language AI Processing
The "Find People" conversational search feature uses an external AI API to interpret user prompts.
When a user types "Find me TA leads at fast-growing fintech startups in Bangalore", the AI parses the intent into structural components:
- Target Role: Talent Acquisition
- Company Type: Fintech / Startups
- Location: Bangalore (Bengaluru)
The AI does not search the web or provide a list of people. It returns a structured JSON payload which HR Mapper uses to format the Boolean search queries described in Section 1.
3. Email Pattern Estimation
The email generator tool does not hack, scrape, or verify email addresses against active mail servers. Instead, it generates statistical guesses based on common corporate IT naming conventions.
For example, given the name "Rahul Kumar" and the domain "company.com", the tool generates common patterns:
- rahul.kumar@company.com
- r.kumar@company.com
- rahulk@company.com
These are purely mathematical combinations. Users must verify these addresses using their own email clients or validation tools before sending outreach.
4. System Limitations & Disclaimers
Users must be aware of the following technical limitations when using HR Mapper:
Dependence on Google's Index: HR Mapper relies entirely on what Google has currently indexed. If a professional recently changed jobs, or their profile is not indexed by Google, they will not appear in the search results.
Public Data Only: We cannot search private profiles, paywalled databases, or internal company directories. The tool only surfaces publicly available web pages.
False Positives:Search engines match text strings, not semantic employment status. A result may surface because someone wrote "I used to be an HR Manager at Company X" in a blog post, rather than an active profile.