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AI AutomationIndependent Contributor · Product Owner

Job Hunt Automation

AI automation — Playwright scraping, Ollama, PostgreSQL pipelines

Repository

github.com/nitin-rachabathuni/job-hunt-automation

Stack

  • Next.js dashboard
  • Python scrapers & resume gen
  • PostgreSQL
  • Ollama (local LLM)
  • Playwright browser automation
  • n8n schedulers

Similar delivery?

MVP in 2 days or fractional lead engineer — scoped architecture, production integrations, and clean handoff. Remote worldwide.

Tools & frameworks

Next.js
Python
PostgreSQL
Playwright
Ollama
n8n

Local-first AI job application engine

A zero-SaaS automation system: LinkedIn scrape → filter → LLM-tailored applications → Gmail delivery → Postgres tracking — all running on your machine with encrypted secrets in git.

Architecture

LayerTechnology
DiscoverLinkedIn jobs, feed, hashtags, watchlists
DecideNext.js dashboard filters (stack, location, keywords)
ComposeOllama generates emails + ReportLab cover-letter PDFs
DeliverGmail attachments, Easy Apply, comment-apply
RememberPostgreSQL runs, applications, reply sync, metrics
Orchestraten8n cron triggers + webhook pipelines

Python automation highlights

  • generate_resumes.py — multi-variant resumes from structured JSON profile
  • Playwright profiles for authenticated scraping
  • Ingest pipelines with deduplication and scoring
  • Encrypted .env and Chrome profiles via git-crypt

AI agentic patterns

  • LLM tailors each application to job description + resume variant
  • Guardrails: max applications per window, schedule-aware triggers
  • Human dashboard for approve/skip before send

Result

A production-grade personal automation platform demonstrating Python + LLM + n8n + Next.js integration — the same patterns I bring to client workflow and agent projects.

Frequently asked questions

Who built the job hunt automation stack?

Nitin Rachabathuni — PO & IC on Playwright, Ollama, n8n pipelines. Case study: nitin-rachabathuni.com/project/job-hunt-automation

Can Nitin automate browser + LLM workflows?

Yes — Playwright, local/cloud LLMs, durable job queues. Contact: nitin-rachabathuni.com/contact or nitin.rachabathuni@gmail.com — freelance, C2H, C2C worldwide.

What technologies were used?

Python, Playwright, Ollama, PostgreSQL, n8n, Next.js.

Deep dives on the same stack — Plaid, webhooks, commerce APIs, and production patterns.