FindEmails.com is a powerful prospecting and email verification platform designed to empower sales, marketing, and recruitment professionals. It enables users to search for verified email addresses by name, job title, company, or location either individually or in bulk.
Built on a Ruby on Rails backend, the system powers real-time email discovery and deliverability checks, while Redis and Sidekiq manage queuing and background tasks for large volume processing.
The platform includes browser extensions, API access, and a clean, intuitive interface for collecting leads, validating contact data, tracking usage metrics, and exporting results delivering accurate, actionable contact information quickly and reliably
- Architected and implemented the email lookup and validation system on Ruby on Rails, integrating third-party enrichment APIs and confidence-score algorithms to ensure up to 98% accuracy in deliverability checks
- Developed a bulk queuing mechanism using Redis and Sidekiq, allowing users to process large lead lists efficiently without user waiting or system blocking.
- Built a user-centric interface for lead collection, enabling form-based input and uploads, with export options including .CSV, direct lead list downloads, and structured output for business use.
- Added robust usage analytics dashboards, tracking profile views, search queries, verification results, and export activity delivering actionable insights for sales and marketing teams.
- Integrated secure authentication flows, credit-based usage management, and API key handling to support internal resource tracking and plan limitations.
- Ensured seamless browser extension functionality by maintaining session consistency and data synchronization with the main app using Rails session and API endpoints.
- Crafted the front-facing UI using Rails views together with JavaScript enhancements for form validation, dynamic result rendering, and real-time score updates.
- Leveraged Sidekiq workers to offload heavy batch operations—such as multi-step email verification, prospect enrichment, and mass credit consumption ensuring the web UI remains responsive.
- Emphasized reliable architecture by using Redis for temporary storage of job states and progress tracking across asynchronous tasks, improving fault tolerance and retry management.
- Designed the lead export module to support enterprise administrators and power users, generating downloadable datasets and integrating with external CRMs or CSV consumers.
- Focused on performance optimization, debouncing user input, caching frequent domain pattern lookups, and scaling backend servers to handle concurrent jobs gracefully.
- Monitored key metrics and usage behaviors to drive continuous improvement of verification logic, credit usage patterns, and API performance helping clients reliably reach decision-makers with minimal bounce rates.