explaingit

gsync/jobsync

Analysis updated 2026-05-18

577TypeScriptAudience · generalComplexity · 3/5Setup · moderate

TLDR

JobSync is a self-hosted job application tracker with AI-powered resume review and job matching, run locally with Docker to keep your data private.

Mindmap

mindmap
  root((JobSync))
    What it does
      Tracks job applications
      AI resume review
      AI job matching
      Task and time tracking
    Tech stack
      TypeScript
      Next.js
      Prisma
      Docker
    Use cases
      Job search organization
      Resume improvement
      Interview follow-up
    Audience
      Job seekers
      Self-hosters

Code map

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What do people build with it?

USE CASE 1

Track every job application in one dashboard with company, title, date, and status details.

USE CASE 2

Upload a resume and get AI-generated feedback plus a match score against a job description.

USE CASE 3

Manage follow-up tasks and interview activities with built-in time tracking.

What is it built with?

TypeScriptNext.jsPrismaTailwindDocker

How does it compare?

gsync/jobsyncsunislazi/rbxfpsunlocker-boost-more-240fpsamaancoderx/npxskillui
Stars577584569
LanguageTypeScriptTypeScriptTypeScript
Setup difficultymoderateeasyeasy
Complexity3/51/52/5
Audiencegeneralgeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires Docker, AI features need an API key or a locally running Ollama instance.

License terms are not stated in the available README excerpt.

In plain English

JobSync is a free, open-source web application you run on your own computer or server to manage a job search from start to finish. Instead of juggling spreadsheets or sticky notes, you get a single dashboard that tracks every application, company name, job title, date applied, current status, and linked tasks, so nothing slips through the cracks. The app adds AI assistance on top of the tracking layer. You can upload your resume and have the AI review it for weaknesses, then paste in a job description to get a match score that tells you how well your background fits that specific role. A task and activity manager with time tracking keeps you accountable for follow-ups and interviews. An analytics dashboard visualizes your overall progress, showing things like application success rates at a glance. Getting started takes three commands: clone the repository, navigate into its folder, and run Docker Compose. Docker is a tool that packages all the software dependencies together, so the app launches at a local web address without any manual setup. Once inside, you connect your preferred AI provider, Ollama, which runs AI models entirely on your own hardware with no API key, OpenAI, DeepSeek, Google Gemini, or OpenRouter, through a settings screen. Because everything runs on infrastructure you control, your job search data never leaves your machine. The project is built with Next.js, Prisma, and Tailwind, and welcomes outside contributions through its listed guidelines.

Copy-paste prompts

Prompt 1
Help me set up JobSync locally with Docker Compose and connect it to Ollama for free AI features.
Prompt 2
How do I configure JobSync to use OpenAI instead of a local Ollama model?
Prompt 3
Explain how JobSync's AI job match scoring works between a resume and a job description.
Prompt 4
Show me how to update my self-hosted JobSync instance to the latest version.

Frequently asked questions

What is jobsync?

JobSync is a self-hosted job application tracker with AI-powered resume review and job matching, run locally with Docker to keep your data private.

What language is jobsync written in?

Mainly TypeScript. The stack also includes TypeScript, Next.js, Prisma.

What license does jobsync use?

License terms are not stated in the available README excerpt.

How hard is jobsync to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is jobsync for?

Mainly general.

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