AI & product
Pegala
An AI job-search platform for the Argentine market — a resume-tailoring product paired with a companion pipeline that mines job-search communities for product ideas.
Role — Sole engineer — product localization, the waitlist landing, and the companion research pipeline.
The core is built on the open-source Resume Matcher project.
Highlights
- Full resume-tailoring application with a FastAPI/LiteLLM backend — document parsing, diff-based resume tailoring against a job description, cover-letter/outreach generation, and PDF rendering via headless Chromium.
- Waitlist landing (Next.js, Neon Postgres) collecting early signups ahead of the Argentina-market launch.
- reddit-idea-miner — a companion daily pipeline that scans job-search subreddits and Hacker News, filters for engagement, and uses an LLM to turn raw posts into actionable, localized product-idea digests emailed to guide the roadmap.
- Feedback loop (miner.mark) that records which mined ideas were implemented, discarded, or interesting, so future digests sharpen over time.
Overview
Pegala is a waitlist-stage AI job-search platform for the Argentine market. Behind the public landing sits the full product — forked from the open-source Resume Matcher and adapted for the local market — plus reddit-idea-miner, a standalone opportunity-mining module that continuously scans job-search communities for pain points and mails back structured, LLM-analyzed ideas to steer what gets built next.