qpwm06

qpwm06 / QuickApply

Public

Local web service powered by JobSpy for job scraping, Codex for resume tuning, and unified application workflow.

82
10
100% credibility
Found May 03, 2026 at 62 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

QuickApply is a local dashboard that scrapes job listings from major sites, scores them against your resumes using custom profiles, tracks applications, and helps tailor resumes for targeted roles.

How It Works

1
🖥️ Launch your job desk

You start QuickApply on your computer and see a welcoming dashboard ready to organize your job hunt.

2
📄 Add your resumes

You upload your personal resumes so the tool understands your skills, experience, and career goals.

3
🔍 Define job searches

You create simple profiles for the types of jobs you want, like roles, locations, and key words that match your background.

4
🕷️ Fetch matching jobs

With one click, it searches job sites and pulls in fresh opportunities scored by how well they fit you.

5
⭐ Review top picks

You browse the list of best matches, filter by score or location, and peek at job details in a handy window.

6
📋 Track applications

You mark jobs as applied, add notes on interviews, and watch your progress in a clear timeline.

7
✏️ Tailor for winners

For standout jobs, you create customized resumes highlighting your perfect matches.

🎉 Job hunt mastered

Your searches, applications, and tailored resumes are all in one organized place, helping you land great opportunities faster.

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Star Growth

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AI-Generated Review

What is QuickApply?

QuickApply is a Python-powered local web service that scrapes jobs via JobSpy, tunes LaTeX resumes with Codex, and unifies your application workflow in a dashboard. It tackles noisy job boards by matching scraped roles (from LinkedIn, Indeed, ZipRecruiter) against your resumes using keyword scoring, letting you filter, track apps, and generate tailored PDFs—all stored locally in SQLite. Spin it up with Docker or uv run on your local webserver (port 5273), no cloud required.

Why is it gaining traction?

Its local-first design avoids SaaS lock-in, running like a local GitHub Actions runner for job hunts: define market profiles, auto-crawl periodically, score fits, and reuse one Chrome window for job pages. Resume-driven filtering beats keyword spam, with proxy support and a public synthetic demo for instant testing. Feels like a local GitHub Copilot alternative for quick apply pro workflows.

Who should use this?

Mid-career B2B SaaS pros like growth marketers or customer success managers targeting roles such as Demand Gen Manager or Account Executive. Great for devs hosting a local website or local webserver on Windows 11 who want unified tracking without tab chaos. Avoid if you need enterprise-scale scraping.

Verdict

Try it for targeted, private job ops—62 stars and 1.0% credibility reflect early maturity, but strong docs, Docker ease, and tests make it production-ready for personal use. Pairs well with local GitHub runner setups for automated hunts.

(198 words)

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