Direct Hire

Inspiration Job searching today feels like shouting into a void. Mainstream job boards like LinkedIn and Indeed are heavily saturated, cluttered with phantom listings, and dominated by third-party recruitment agencies. We noticed that the highest-quality, most responsive roles are often posted directly on a company’s own internal career page. However, no candidate has the time to manually check hundreds of individual corporate websites every day. We wanted to build a tool that automates this tedious process, giving everyday job seekers a massive first-mover advantage. What it does DirectHire AI is a global job discovery platform that bypasses traditional job boards entirely. It continuously monitors thousands of target company websites—ranging from emerging startups to global enterprises—across multiple industries and regions. The platform extracts newly posted roles the moment they go live on internal corporate subdomains. It then structures this data into a clean, searchable dashboard, filtering out duplicates and recruiter spam so candidates can apply directly to the source. How we built it The application is split into three core components: The Dashboard: A responsive frontend built using React and Tailwind CSS that allows users to filter global roles by tech stack, remote compatibility, and experience level. The Matching Engine: A Python-based backend that maps candidate profile keywords directly to the requirements of newly discovered roles. The Sourcing Pipeline: An autonomous data retrieval system powered by Nimble. We used Nimble strictly as our infrastructure utility tool to handle complex web data collection. It automatically navigates diverse, JavaScript-heavy Applicant Tracking Systems (like Greenhouse, Lever, and Workday) and transforms unstructured HTML from various website layouts into clean, organized JSON payloads. Challenges we ran into Corporate career pages are a chaotic mix of dynamic content, anti-bot scripts, and inconsistent structures. Standard web scraping approaches consistently broke when trying to isolate job descriptions from site navigation headers, footers, and cookie banners. We overcame this by configuring Nimble’s web extraction tools to dynamically identify and isolate the exact container elements holding the job data, creating a robust pipeline that doesn't break when a company updates its website design. Accomplishments that we're proud of Built a fully automated ingestion pipeline that successfully scales across completely different website layouts without requiring unique code for each company. Designed a clean, distraction-free user interface that eliminates the noise and advertisement clutter typical of modern job sites. Leveraged Nimble to achieve near-instant data normalization, turning chaotic web data into structured inputs for our application in seconds. What we learned We discovered that relying on the right specialized tools can completely alter a project's timeline. Building a resilient, global web data pipeline from scratch would have consumed our entire hackathon. By outsourcing that infrastructure challenge to Nimble, we were able to focus 100% of our energy on refining the core user experience and perfecting the data matching logic for the job seeker. What's next for Direct Hire Contextual Alerts: Implement instant Discord and Slack notifications to alert users the exact minute a matching job is found. Tailored Resumes: Integrate a feature that analyzes the extracted job descriptions to suggest optimal resume keywords before the user submits their direct application. Global Salary Benchmarking: Cross-reference extracted regional roles with public compensation data to provide transparency for remote workers worldwide.

Built With

• javascript
• nimble
• tower