Technology Stack
Frontend
- React
- Next.js
Backend & Automation
- Selenium
- Puppeteer
- Web-scraping pipelines
Database & Auth
- Auth0 for secure sign-on
- Postgres/NoSQL for profile and application storage
Matching & Intelligence
- Custom job-matching algorithm with semantic skill parsing
Deployment
- Vercel for frontend
- Containerized backend services
Impact & Importance
Job hunting today can feel like running a never-ending obstacle course: you juggle half a dozen resumes, fight clunky web forms that refuse to cooperate, and scramble to tailor each application just enough to stand out—only to discover you've missed a crucial field or typo you'll never catch. It's exhausting.
Algora transforms this grind into a delightfully simple, almost magical experience. Imagine waking up, grabbing your coffee, and—before your first sip—is reviewing a dashboard of perfectly matched roles, each one handpicked by our skill-matching algorithm from thousands of listings. No more tedious copy-paste marathons, no more anxiety over formatting or overlooked questions. Instead, you breeze through applications in bulk, confident that every field is spot on and every resume truly reflects your best work.
But Algora goes beyond mere automation. By scraping your GitHub READMEs, Devpost project write-ups, LinkedIn descriptions, and even local code directories, we craft a dynamic portfolio that breathes life into your achievements. Your strongest projects rise to the top, and Algora weaves those highlights into a personalized cover letter tailored to each role—so you never submit a generic "To Whom It May Concern" again.
This isn't just time-saving; it's empowerment. Students juggling classes, bootcamp grads racing deadlines, and self-taught developers with brilliant portfolios all finally have a tool that levels the playing field. Suddenly, applying to 30 jobs feels as effortless as sending a text message, and you can focus on what really matters: preparing for interviews, networking confidently, and ultimately landing that dream position.
With Algora, you're not just applying—you're presenting a polished, compelling narrative of your career, backed by data and delivered at scale. It's a game-changer that makes job seeking accessible, accurate, and—dare we say—enjoyable.
Development Challenges Faced
Building Algora's resilient automation platform meant tackling a host of thorny engineering problems head-on.
Scraping Challenges:
- Rich content from GitHub and Devpost wasn't as simple as pointing Selenium at a URL
- Each site's DOM was in constant flux
- Infinite-scroll lists needed careful triggers
- Rate-limits or bot-detection pop-ups threatened to derail our pipelines
Solutions:
- Developed dynamic wait conditions and fallback selectors
- Built adaptive scrapers that recover gracefully when elements fail to load or shift position
Security Challenges:
- Accessing private GitHub repositories and draft Devpost projects securely
- Preventing token exposure
Solutions:
- Built an OAuth-based authentication flow that keeps credentials encrypted on the user's device
- Crafted headless login routines with minimal re-authorization prompts
- Implemented isolated browser profiles to prevent token leakage
Local Parsing Challenges:
- Non-standardized open-source codebases
- Varied project structures (monorepos, missing metadata, etc.)
Solutions:
- Developed a robust file crawler in Node.js
- Implemented language ecosystem detection via package.json, requirements.txt, and file-type heuristics
- Created normalization system for messy data
Autofill & Scaling Challenges:
- Handling custom dropdown widgets that require user-triggered events
- Managing bulk-apply sessions with concurrent WebDriver instances
- Avoiding IP bans
Solutions:
- Built injection logic for scrolling and click-sequencing
- Implemented a pooling layer with proxy rotation and strict timeouts
- Developed extensive end-to-end test suites simulating various form types
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