Pegala

Built by Santiago Paz
Waitlist

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.

Layers built

Localization
Research pipeline
Waitlist landing

Role

Sole engineer: product localization, the waitlist landing, and the companion research pipeline.

Stack

Next.js, React, TypeScript, FastAPI, Python, LiteLLM, Anthropic and TinyDB.

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.