Job Catcher

  • Aggregates & matches jobs with your profile
  • Better matches, less noise, more focus

How it works

Job search is time-consuming and stressful. With Job Catcher I want to save time by focusing on highly relevant job matches. Here's how:

Job Ad Retrieval

Collect ads from various platforms, using Google's job search API.

Semantic Matching

Match your CV with job ads, using an SBERT model, and inspired by Susan et al. 2024.

Traditional Matching

Perform keyword and skill matching to ensure no important terms are missed.

Scoring & Ranking

Combine the results into a final score, ranking your best job matches.

Support the Project

Job Catcher is a free, open-source project. Your support helps us maintain and improve the service for everyone.

Donate

Help with server and API costs

Contribute

Contribute to the code on GitHub

Feedback

Provide feedback to help us improve

Hi there!

Avatar

My name is Ammar Halabi. I'm a human-centered researcher, designer and strategist. I experiment with programming and ML, and I'm interested in shortening the distance from design to code.

I created Job Catcher to save on time and stress as I browsed through loads of irrelevant job ads. It is also an opportunity to experience the full product lifecycle, from research and design to development and deployment.

With a background in Computer Science, AI, HCI, and Sociology, I create tech that's humane and impactful.