job_seek

A lightweight job hunt tracker that keeps your search organized: job links, key points, status, LinkedIn outreach, and your Overleaf resume link — all in one place. Built with Flask + SQLite and a single-page UI.

Features

• Multi-user login with hashed passwords
• One SQLite DB per user
• Track job links with status, YoE, location, and key points
• LinkedIn connections per job with status (PENDING / MESSAGED / REFERRED)
• Overleaf project link per job
• Collapsible job cards with tabbed details

Tech Stack

• Backend: Python, Flask, SQLite
• Frontend: Vanilla JS + CSS (single page)

Local Setup (Dev Server)

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python app.py

Open http://localhost:5000.

Docker (Production Image)

Build

docker build -t job_seek:latest .

Run (Detached, Expose Port)

docker run -d --name job_seek \
  -p 5000:5000 \
  -e JOB_SEEK_SECRET="change-me" \
  -v $(pwd)/job_seek:/app/data \
  job_seek:latest

Notes:

• -d runs the container in the background (detached).
• -p 5000:5000 maps host port 5000 to container port 5000.
• Visit http://localhost:5000 on the host.
• The container runs Gunicorn for production. Override the command to tune workers/threads if needed, for example:

docker run ... job_seek:latest gunicorn --bind 0.0.0.0:5000 --workers 4 --threads 4 app:app

Stop / Remove

docker stop job_seek
docker rm job_seek

Notes:

• JOB_SEEK_SECRET should be a strong random string in production. It can be generated using - python -c "import secrets; print(secrets.token_urlsafe(32))"
• The data/ volume holds the global users DB and per-user SQLite files.

Project Layout

• app.py — Flask API + DB setup
• templates/index.html — main UI
• static/app.js — UI logic
• static/styles.css — UI styles
• data/ — runtime SQLite files

Status Codes

Jobs:

• INTERESTED, APPLIED, ONGOING, ACCEPTED, REJECTED

Connections:

• PENDING, MESSAGED, REFERRED