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SoHired

SoHired

Don't just apply. Get SoHired.

Created on 16th January 2026

SoHired

SoHired

Don't just apply. Get SoHired.

The problem SoHired solves

The Problem It Solves
SoHired is not just a job board; it is an AI-Powered Career & Recruitment Ecosystem designed to fix the broken "apply-and-wait" cycle. It bridges the gap between talent and opportunity by removing technical barriers, bias, and inefficiency.


Here is how SoHired makes the hiring landscape easier, faster, and fairer:

  1. 🛡️ For Job Seekers: Escaping the "ATS Black Hole"
    Most candidates are rejected by Applicant Tracking System (ATS) bots before a human ever sees their resume.

The Problem: Candidates spend hours applying but get rejected due to poor formatting, missing invisible keywords, or low "match scores" they can't see.

The SoHired Solution:

Pre-Application Audit: The AI Agent scans the user's resume against the specific Job Description before they apply. It predicts the ATS score (e.g., "You are a 45% match") and tells them exactly why.

Instant Optimization: It highlights missing keywords (e.g., "The job requires Docker, but you didn't list it despite having container experience") and suggests rewrites.

Result: Candidates stop shooting in the dark and start sending applications that pass the bot filters.


  1. 📝 Automated Professional Branding (Resume Engineering)
    Creating a high-quality, readable resume is difficult and time-consuming.

The Problem: Candidates struggle with design tools, leading to messy layouts that parsers can't read.

The SoHired Solution:

Headless LaTeX Engine: Users input their data once, and our backend generates a perfectly formatted, industry-standard LaTeX PDF.

Context-Aware Rewriting: The AI rewrites weak bullet points (e.g., "Worked on Java") into impact-driven statements (e.g., "Optimized Java backend reducing latency by 40%") using the Google XYZ formula.

Result: Every user gets a "Senior Engineer" quality resume regardless of their design skills.


  1. 🎓 Bridging the "Hidden" Skill Gap
    Candidates often don't know why they aren't qualified.

The Problem: Rejection emails never explain what skills were missing. Candidates repeat the same mistakes.

The SoHired Solution:

Gap Analysis: The AI compares the user's profile to current market trends. It explicitly states: "To get this Senior React role, you need to learn Next.js and Redux Toolkit."

Actionable Roadmaps: It doesn't just identify the gap; it provides a curated learning path to close it.

Result: Rejection becomes a roadmap for growth, not a dead end.


  1. ⚖️ For Recruiters: Eliminating Bias & Fatigue
    Recruiters drown in hundreds of generic applications, leading to "resume fatigue" and unconscious bias.

The Problem: Recruiters spend 6 seconds per resume. They often skip qualified candidates due to bias (name, gender, college brand) or simply missing a keyword in a 5-page document.

The SoHired Solution:

Semantic Matching: Our Gemini-powered engine understands context. If a candidate lists "Built a REST API," the AI knows they understand "Backend Development," even if that exact keyword is missing.

Blind Shortlisting Mode: The platform can hide names, genders, and photos, forcing the recruiter to evaluate purely based on Skills and Code Quality.

Result: A fairer hiring process where talent wins over demographics, and recruiters save 70% of their screening time.


  1. 🤝 Verified "Gig" Safety (Trust Engine)
    For short-term projects and freelance work (Project-Based Hiring).

The Problem: Freelancers fear non-payment (ghosting), and companies fear bad code.

The SoHired Solution:

Code Verification Sandbox: Developers submit "Proof of Work" (code snippets/repos) that the AI pre-validates for quality before the interview.

Escrow & Bounties: The system ensures funds are locked before work starts. It also supports "Runner-Up Bounties," ensuring that top candidates who narrowly miss the job are still compensated for their time and effort.

Result: A risk-free environment for both parties.

Challenges we ran into

🔐 Handling Secure Authentication for Automation
The Hurdle The biggest challenge was bridging the gap between our frontend authentication and the backend automation workflows. Since we are using n8n to power the AI email assistant, we initially struggled with how to authenticate specific users' Gmail accounts in a production environment. We wanted to avoid a clunky UX where users had to manually input API tokens or JSON credentials.

How we got over it We had to rethink our architecture to make Clerk (our auth provider) and n8n talk to each other effectively.

  • We moved away from the idea of manual token entry.

  • We researched and implemented a flow where the user's authenticated session on the client side (React) securely triggers the n8n workflows, ensuring the AI agent interacts only with that specific user's data.

  • This required deep-diving into n8n's webhook capabilities to ensure we could pass user context dynamicially and securely.

Tracks Applied (1)

Software Development

This challenge represents a classic system integration problem, requiring you to securely orchestrate distinct services ...Read More

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