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  Convex database usage

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  For profile generation

DirectReach AI

Inspiration

• Posted a LinkedIn update asking tech students about the problems they face in the hiring and internship process.
• Received an overwhelming response with 200k+ impressions and 2000+ engagements.
• Over 500 Google Form responses asking for an application to find email IDs of employers and send emails directly.
• The LinkedIn post generated 150,000+ impressions and 1500+ engagements in just 15 hours, prompting me to address this need.

What it does

1. Personalized Cold Outreach:

   • Finds the email ID of any employer based on their profile.
   • Uses AI to craft personalized emails and referral messages tailored to the candidate's profile.
   • Sends messages directly via email and LinkedIn.

2. Company Database:

   • Builds a database of top, fast-recruiting companies.
   • Includes email IDs and LinkedIn profiles of key hiring managers.

How we built it

• Scraped data using tools like Hunter.io.
• Used Convex for backend and authentication.
• Built the production-level application with Next.js and TypeScript.

Challenges we ran into

• Creating a comprehensive database of fast-recruiting companies.
• Need advice on how to automate this process more effectively.

Accomplishments that we're proud of

• 500k+ impressions on an Instagram reel in just 2 days: Instagram Reel.
• 200k+ impressions and 3000+ engagements on LinkedIn posts in just 20 hours:
  • LinkedIn Post 1
  • LinkedIn Post 2
• 500+ Google Form responses from students interested in the service.

What we learned

• Convex is a highly effective tool for backend and database services.
• Gained valuable insights on building AI applications for practical, real-world uses.

What's next for DirectReach AI

• Launching DirectReach AI as a paid service for students to help streamline the hiring process.

Built With

• ai
• convex
• hunter
• nextjs
• tailwind
• typescript